2022-12-01T10:01:47.3281794Z Requested labels: linux.2xlarge 2022-12-01T10:01:47.3281866Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/pull/89997/merge 2022-12-01T10:01:47.3281892Z Waiting for a runner to pick up this job... 2022-12-01T10:01:47.5151020Z Job is about to start running on the runner: i-0965bcf403f1fe4cf (organization) 2022-12-01T10:01:52.4437497Z Current runner version: '2.299.1' 2022-12-01T10:01:52.4442771Z Runner name: 'i-0965bcf403f1fe4cf' 2022-12-01T10:01:52.4443318Z Runner group name: 'Default' 2022-12-01T10:01:52.4443881Z Machine name: 'ip-10-0-1-220' 2022-12-01T10:01:52.4445836Z ##[group]GITHUB_TOKEN Permissions 2022-12-01T10:01:52.4446528Z Actions: read 2022-12-01T10:01:52.4446894Z Checks: read 2022-12-01T10:01:52.4447311Z Contents: read 2022-12-01T10:01:52.4447633Z Deployments: read 2022-12-01T10:01:52.4447990Z Discussions: read 2022-12-01T10:01:52.4448265Z Issues: read 2022-12-01T10:01:52.4448579Z Metadata: read 2022-12-01T10:01:52.4448889Z Packages: read 2022-12-01T10:01:52.4449159Z Pages: read 2022-12-01T10:01:52.4449501Z PullRequests: read 2022-12-01T10:01:52.4449914Z RepositoryProjects: read 2022-12-01T10:01:52.4450221Z SecurityEvents: read 2022-12-01T10:01:52.4450555Z Statuses: read 2022-12-01T10:01:52.4450868Z ##[endgroup] 2022-12-01T10:01:52.4453732Z Secret source: None 2022-12-01T10:01:52.4454553Z Prepare workflow directory 2022-12-01T10:01:53.0122635Z Prepare all required actions 2022-12-01T10:01:53.0280966Z Getting action download info 2022-12-01T10:01:53.2348102Z Download action repository 'pytorch/pytorch@master' (SHA:850b53bbee82fb194af85b566aedee94b96def32) 2022-12-01T10:01:55.9283067Z Download action repository 'pytorch/test-infra@main' (SHA:1f415583bdcd967e33ea8fd05be71ed0bdf19880) 2022-12-01T10:01:56.1198958Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767) 2022-12-01T10:01:56.2470011Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2022-12-01T10:01:56.5070404Z Getting action download info 2022-12-01T10:01:56.6671161Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076) 2022-12-01T10:01:56.8498015Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml 2022-12-01T10:01:56.8499552Z ##[group] Inputs 2022-12-01T10:01:56.8499852Z build-environment: linux-bionic-py3.7-clang9 2022-12-01T10:01:56.8500546Z test-matrix: { include: [ { config: "default", shard: 1, num_shards: 2, runner: "linux.2xlarge" }, { config: "default", shard: 2, num_shards: 2, runner: "linux.2xlarge" }, { config: "crossref", shard: 1, num_shards: 2, runner: "linux.2xlarge" }, { config: "crossref", shard: 2, num_shards: 2, runner: "linux.2xlarge" }, { config: "dynamo", shard: 1, num_shards: 2, runner: "linux.2xlarge" }, { config: "dynamo", shard: 2, num_shards: 2, runner: "linux.2xlarge" }, { config: "functorch", shard: 1, num_shards: 1, runner: "linux.2xlarge" }, ]} 2022-12-01T10:01:56.8501315Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T10:01:56.8501645Z sync-tag: 2022-12-01T10:01:56.8501820Z ##[endgroup] 2022-12-01T10:01:56.8502262Z Complete job name: linux-bionic-py3.7-clang9 / test (dynamo, 2, 2, linux.2xlarge) 2022-12-01T10:01:56.9190341Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master 2022-12-01T10:01:56.9190631Z with: 2022-12-01T10:01:56.9190809Z submodules: recursive 2022-12-01T10:01:56.9191002Z fetch-depth: 0 2022-12-01T10:01:56.9191178Z env: 2022-12-01T10:01:56.9191344Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:01:56.9191541Z ##[endgroup] 2022-12-01T10:01:56.9406031Z ##[group]Run retry () { 2022-12-01T10:01:56.9406271Z retry () { 2022-12-01T10:01:56.9406484Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2022-12-01T10:01:56.9406689Z } 2022-12-01T10:01:56.9406868Z echo "${GITHUB_WORKSPACE}" 2022-12-01T10:01:56.9407347Z if [ -z "${NO_SUDO}" ]; then 2022-12-01T10:01:56.9407592Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2022-12-01T10:01:56.9407816Z else 2022-12-01T10:01:56.9408012Z  retry rm -rf "${GITHUB_WORKSPACE}" 2022-12-01T10:01:56.9408189Z fi 2022-12-01T10:01:56.9408401Z mkdir "${GITHUB_WORKSPACE}" 2022-12-01T10:01:56.9423467Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:01:56.9423693Z env: 2022-12-01T10:01:56.9423862Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:01:56.9424045Z NO_SUDO: 2022-12-01T10:01:56.9424198Z ##[endgroup] 2022-12-01T10:01:56.9585099Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-12-01T10:02:00.1792341Z ##[group]Run malfet/checkout@silent-checkout 2022-12-01T10:02:00.1792602Z with: 2022-12-01T10:02:00.1792836Z ref: c13d400bffe90e16b96520bbc8a41a6f0c9cd584 2022-12-01T10:02:00.1793077Z fetch-depth: 0 2022-12-01T10:02:00.1793277Z submodules: recursive 2022-12-01T10:02:00.1793494Z quiet-checkout: true 2022-12-01T10:02:00.1793723Z repository: pytorch/pytorch 2022-12-01T10:02:00.1794104Z token: *** 2022-12-01T10:02:00.1794307Z ssh-strict: true 2022-12-01T10:02:00.1794533Z persist-credentials: true 2022-12-01T10:02:00.1794756Z clean: true 2022-12-01T10:02:00.1794948Z lfs: false 2022-12-01T10:02:00.1795168Z set-safe-directory: true 2022-12-01T10:02:00.1795374Z env: 2022-12-01T10:02:00.1795559Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:02:00.1795771Z ##[endgroup] 2022-12-01T10:02:00.2928045Z Syncing repository: pytorch/pytorch 2022-12-01T10:02:00.2929427Z ##[group]Getting Git version info 2022-12-01T10:02:00.2929875Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2022-12-01T10:02:00.2930340Z [command]/usr/bin/git version 2022-12-01T10:02:00.2930566Z git version 2.37.1 2022-12-01T10:02:00.2931159Z ##[endgroup] 2022-12-01T10:02:00.2943209Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/0be36018-18c2-4688-a9c3-0d4f4cdb9434' before making global git config changes 2022-12-01T10:02:00.2943658Z Adding repository directory to the temporary git global config as a safe directory 2022-12-01T10:02:00.2944141Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-12-01T10:02:00.2975441Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2022-12-01T10:02:00.2979378Z ##[group]Initializing the repository 2022-12-01T10:02:00.2981737Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-12-01T10:02:00.3104927Z hint: Using 'master' as the name for the initial branch. This default branch name 2022-12-01T10:02:00.3106595Z hint: is subject to change. To configure the initial branch name to use in all 2022-12-01T10:02:00.3107260Z hint: of your new repositories, which will suppress this warning, call: 2022-12-01T10:02:00.3107705Z hint: 2022-12-01T10:02:00.3108266Z hint: git config --global init.defaultBranch 2022-12-01T10:02:00.3108708Z hint: 2022-12-01T10:02:00.3109284Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2022-12-01T10:02:00.3109875Z hint: 'development'. The just-created branch can be renamed via this command: 2022-12-01T10:02:00.3110145Z hint: 2022-12-01T10:02:00.3110499Z hint: git branch -m 2022-12-01T10:02:00.3110900Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2022-12-01T10:02:00.3114817Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2022-12-01T10:02:00.3144270Z ##[endgroup] 2022-12-01T10:02:00.3144891Z ##[group]Disabling automatic garbage collection 2022-12-01T10:02:00.3147260Z [command]/usr/bin/git config --local gc.auto 0 2022-12-01T10:02:00.3171355Z ##[endgroup] 2022-12-01T10:02:00.3172056Z ##[group]Setting up auth 2022-12-01T10:02:00.3177378Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2022-12-01T10:02:00.3204160Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || : 2022-12-01T10:02:00.3434697Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2022-12-01T10:02:00.3459630Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || : 2022-12-01T10:02:00.3689901Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2022-12-01T10:02:00.3729920Z ##[endgroup] 2022-12-01T10:02:00.3730506Z ##[group]Fetching the repository 2022-12-01T10:02:00.3735874Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2022-12-01T10:02:52.8991641Z [command]/usr/bin/git rev-parse --verify --quiet c13d400bffe90e16b96520bbc8a41a6f0c9cd584^{object} 2022-12-01T10:02:52.9025646Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --quiet --no-recurse-submodules origin c13d400bffe90e16b96520bbc8a41a6f0c9cd584 2022-12-01T10:02:54.1586732Z ##[endgroup] 2022-12-01T10:02:54.1587267Z ##[group]Determining the checkout info 2022-12-01T10:02:54.1588003Z ##[endgroup] 2022-12-01T10:02:54.1588405Z ##[group]Checking out the ref 2022-12-01T10:02:54.1591874Z [command]/usr/bin/git checkout --quiet --force c13d400bffe90e16b96520bbc8a41a6f0c9cd584 2022-12-01T10:02:55.3750833Z ##[endgroup] 2022-12-01T10:02:55.3751300Z ##[group]Setting up auth for fetching submodules 2022-12-01T10:02:55.3756317Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2022-12-01T10:02:55.3800890Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2022-12-01T10:02:55.3828701Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2022-12-01T10:02:55.3855054Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2022-12-01T10:02:55.3877969Z ##[endgroup] 2022-12-01T10:02:55.3878354Z ##[group]Fetching submodules 2022-12-01T10:02:55.3881614Z [command]/usr/bin/git submodule sync --recursive 2022-12-01T10:02:55.4133904Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2022-12-01T10:02:55.4379447Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2022-12-01T10:02:55.4380964Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2022-12-01T10:02:55.4381513Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2022-12-01T10:02:55.4383447Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2022-12-01T10:02:55.4385619Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK' 2022-12-01T10:02:55.4388166Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2022-12-01T10:02:55.4390349Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2022-12-01T10:02:55.4392716Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2022-12-01T10:02:55.4395292Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2022-12-01T10:02:55.4398011Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' 2022-12-01T10:02:55.4401087Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2022-12-01T10:02:55.4403655Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2022-12-01T10:02:55.4406559Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2022-12-01T10:02:55.4409885Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2022-12-01T10:02:55.4413094Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2022-12-01T10:02:55.4416410Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2022-12-01T10:02:55.4419731Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi' 2022-12-01T10:02:55.4423548Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2022-12-01T10:02:55.4426910Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2022-12-01T10:02:55.4430674Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2022-12-01T10:02:55.4434433Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2022-12-01T10:02:55.4438497Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake' 2022-12-01T10:02:55.4442433Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2022-12-01T10:02:55.4446506Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2022-12-01T10:02:55.4450824Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2022-12-01T10:02:55.4455208Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse' 2022-12-01T10:02:55.4459509Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2022-12-01T10:02:55.4463964Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2022-12-01T10:02:55.4468639Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt' 2022-12-01T10:02:55.4473330Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2022-12-01T10:02:55.4478165Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2022-12-01T10:02:55.4482994Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2022-12-01T10:02:55.4489372Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2022-12-01T10:02:55.4494741Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2022-12-01T10:02:55.4499781Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum' 2022-12-01T10:02:55.4505007Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2022-12-01T10:02:55.4510494Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six' 2022-12-01T10:02:55.4515883Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2022-12-01T10:02:55.4521451Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb' 2022-12-01T10:02:55.4527404Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2022-12-01T10:02:55.4533328Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd' 2022-12-01T10:02:55.4556980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2022-12-01T10:02:55.7679349Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2022-12-01T10:02:55.9790410Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2022-12-01T10:02:56.2239773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2022-12-01T10:02:56.5165051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'... 2022-12-01T10:02:56.8179987Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2022-12-01T10:02:58.8126852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2022-12-01T10:03:04.9871178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2022-12-01T10:03:05.3957555Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2022-12-01T10:03:05.9962147Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'... 2022-12-01T10:03:07.4754951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2022-12-01T10:03:08.5874433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2022-12-01T10:03:09.9458511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2022-12-01T10:03:15.7409231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2022-12-01T10:03:16.6156466Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2022-12-01T10:03:17.7619653Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2022-12-01T10:03:18.9926720Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'... 2022-12-01T10:03:19.2390604Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2022-12-01T10:03:19.7078130Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2022-12-01T10:03:20.0847826Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2022-12-01T10:03:21.4638271Z Cloning into 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'third_party/fbgemm' 2022-12-01T10:04:23.3299029Z Entering 'third_party/fbgemm/third_party/asmjit' 2022-12-01T10:04:23.3331464Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2022-12-01T10:04:23.3364455Z Entering 'third_party/fbgemm/third_party/googletest' 2022-12-01T10:04:23.3396944Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2022-12-01T10:04:23.3430731Z Entering 'third_party/flatbuffers' 2022-12-01T10:04:23.3465845Z Entering 'third_party/fmt' 2022-12-01T10:04:23.3499807Z Entering 'third_party/foxi' 2022-12-01T10:04:23.3533255Z Entering 'third_party/gemmlowp/gemmlowp' 2022-12-01T10:04:23.3566248Z Entering 'third_party/gloo' 2022-12-01T10:04:23.3599921Z Entering 'third_party/googletest' 2022-12-01T10:04:23.3633302Z Entering 'third_party/ideep' 2022-12-01T10:04:23.3665772Z Entering 'third_party/ideep/mkl-dnn' 2022-12-01T10:04:23.3700335Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN' 2022-12-01T10:04:23.3738025Z Entering 'third_party/ios-cmake' 2022-12-01T10:04:23.3770926Z Entering 'third_party/ittapi' 2022-12-01T10:04:23.3804179Z Entering 'third_party/kineto' 2022-12-01T10:04:23.3838054Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2022-12-01T10:04:23.3870755Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2022-12-01T10:04:23.3904509Z Entering 'third_party/nccl/nccl' 2022-12-01T10:04:23.3937156Z Entering 'third_party/neon2sse' 2022-12-01T10:04:23.3970692Z Entering 'third_party/nlohmann' 2022-12-01T10:04:23.4004474Z Entering 'third_party/onnx' 2022-12-01T10:04:23.4049161Z Entering 'third_party/onnx/third_party/benchmark' 2022-12-01T10:04:23.4082171Z Entering 'third_party/onnx/third_party/pybind11' 2022-12-01T10:04:23.4116737Z Entering 'third_party/onnx-tensorrt' 2022-12-01T10:04:23.4149852Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2022-12-01T10:04:23.4186174Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2022-12-01T10:04:23.4219164Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2022-12-01T10:04:23.4251929Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2022-12-01T10:04:23.4288472Z Entering 'third_party/pocketfft' 2022-12-01T10:04:23.4321012Z Entering 'third_party/protobuf' 2022-12-01T10:04:23.4357218Z Entering 'third_party/protobuf/third_party/benchmark' 2022-12-01T10:04:23.4389465Z Entering 'third_party/protobuf/third_party/googletest' 2022-12-01T10:04:23.4423877Z Entering 'third_party/psimd' 2022-12-01T10:04:23.4456291Z Entering 'third_party/pthreadpool' 2022-12-01T10:04:23.4489901Z Entering 'third_party/pybind11' 2022-12-01T10:04:23.4524032Z Entering 'third_party/python-enum' 2022-12-01T10:04:23.4557038Z Entering 'third_party/python-peachpy' 2022-12-01T10:04:23.4589860Z Entering 'third_party/python-six' 2022-12-01T10:04:23.4623288Z Entering 'third_party/sleef' 2022-12-01T10:04:23.4657372Z Entering 'third_party/tbb' 2022-12-01T10:04:23.4690836Z Entering 'third_party/tensorpipe' 2022-12-01T10:04:23.4724687Z Entering 'third_party/tensorpipe/third_party/googletest' 2022-12-01T10:04:23.4757527Z Entering 'third_party/tensorpipe/third_party/libnop' 2022-12-01T10:04:23.4789597Z Entering 'third_party/tensorpipe/third_party/libuv' 2022-12-01T10:04:23.4821971Z Entering 'third_party/tensorpipe/third_party/pybind11' 2022-12-01T10:04:23.4854609Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2022-12-01T10:04:23.4889161Z Entering 'third_party/zstd' 2022-12-01T10:04:23.4930041Z ##[endgroup] 2022-12-01T10:04:23.4965246Z [command]/usr/bin/git log -1 --format='%H' 2022-12-01T10:04:23.4990286Z 'c13d400bffe90e16b96520bbc8a41a6f0c9cd584' 2022-12-01T10:04:23.5109094Z Prepare all required actions 2022-12-01T10:04:23.5134428Z ##[group]Run ./.github/actions/setup-linux 2022-12-01T10:04:23.5134630Z env: 2022-12-01T10:04:23.5134804Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:23.5134978Z ##[endgroup] 2022-12-01T10:04:23.5149486Z ##[group]Run set -euo pipefail 2022-12-01T10:04:23.5149719Z set -euo pipefail 2022-12-01T10:04:23.5149930Z function get_ec2_metadata() { 2022-12-01T10:04:23.5150161Z  # Pulled from instance metadata endpoint for EC2 2022-12-01T10:04:23.5150520Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2022-12-01T10:04:23.5150818Z  category=$1 2022-12-01T10:04:23.5151046Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2022-12-01T10:04:23.5151270Z } 2022-12-01T10:04:23.5151468Z echo "ami-id: $(get_ec2_metadata ami-id)" 2022-12-01T10:04:23.5151731Z echo "instance-id: $(get_ec2_metadata instance-id)" 2022-12-01T10:04:23.5152092Z echo "instance-type: $(get_ec2_metadata instance-type)" 2022-12-01T10:04:23.5152339Z echo "system info $(uname -a)" 2022-12-01T10:04:23.5163634Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:04:23.5163852Z env: 2022-12-01T10:04:23.5164026Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:23.5164213Z ##[endgroup] 2022-12-01T10:04:23.5236794Z ami-id: ami-096198a0bccc6bad4 2022-12-01T10:04:23.5284519Z instance-id: i-0965bcf403f1fe4cf 2022-12-01T10:04:23.5330365Z instance-type: c5.2xlarge 2022-12-01T10:04:23.5336996Z system info Linux ip-10-0-1-220.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux 2022-12-01T10:04:23.5352054Z ##[group]Run if systemctl is-active --quiet docker; then 2022-12-01T10:04:23.5352329Z if systemctl is-active --quiet docker; then 2022-12-01T10:04:23.5352571Z  echo "Docker daemon is running..."; 2022-12-01T10:04:23.5352767Z else 2022-12-01T10:04:23.5352999Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2022-12-01T10:04:23.5353224Z fi 2022-12-01T10:04:23.5363477Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:04:23.5363691Z env: 2022-12-01T10:04:23.5363863Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:23.5364038Z ##[endgroup] 2022-12-01T10:04:23.5467267Z Docker daemon is running... 2022-12-01T10:04:23.5482413Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2022-12-01T10:04:23.5482767Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2022-12-01T10:04:23.5483052Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-12-01T10:04:23.5483418Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \ 2022-12-01T10:04:23.5483753Z  --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2022-12-01T10:04:23.5494110Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:04:23.5494332Z env: 2022-12-01T10:04:23.5494494Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:23.5494693Z AWS_RETRY_MODE: standard 2022-12-01T10:04:23.5494879Z AWS_MAX_ATTEMPTS: 5 2022-12-01T10:04:23.5495082Z AWS_DEFAULT_REGION: us-east-1 2022-12-01T10:04:23.5495256Z ##[endgroup] 2022-12-01T10:04:24.8507360Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2022-12-01T10:04:24.8508115Z Configure a credential helper to remove this warning. See 2022-12-01T10:04:24.8508625Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2022-12-01T10:04:24.8508836Z 2022-12-01T10:04:24.8508914Z Login Succeeded 2022-12-01T10:04:24.8544582Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-12-01T10:04:24.8545014Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-12-01T10:04:24.8545400Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-12-01T10:04:24.8556694Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:04:24.8556910Z env: 2022-12-01T10:04:24.8557087Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:24.8557262Z ##[endgroup] 2022-12-01T10:04:24.8643855Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2022-12-01T10:04:24.8644084Z with: 2022-12-01T10:04:24.8644407Z github-secret: *** 2022-12-01T10:04:24.8644609Z activate-with-label: false 2022-12-01T10:04:24.8644788Z label: with-ssh 2022-12-01T10:04:24.8644979Z remove-existing-keys: true 2022-12-01T10:04:24.8645159Z env: 2022-12-01T10:04:24.8645315Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:24.8645496Z ##[endgroup] 2022-12-01T10:04:25.2672500Z Grabbing public ssh keys from https://github.com/charlie-wt.keys 2022-12-01T10:04:25.3775884Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh 2022-12-01T10:04:25.3788831Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys 2022-12-01T10:04:25.3812924Z Login using: ssh ec2-user@ec2-3-218-207-134.compute-1.amazonaws.com 2022-12-01T10:04:25.3870138Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2022-12-01T10:04:25.3870389Z with: 2022-12-01T10:04:25.3870713Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T10:04:25.3871038Z env: 2022-12-01T10:04:25.3871210Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:25.3871381Z ##[endgroup] 2022-12-01T10:04:25.3884603Z ##[group]Run retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-12-01T10:04:25.3884894Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-12-01T10:04:25.3885158Z # ignore output since only exit code is used for conditional 2022-12-01T10:04:25.3885432Z # only pull docker image if it's not available locally 2022-12-01T10:04:25.3885718Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2022-12-01T10:04:25.3886015Z  retry docker pull "${DOCKER_IMAGE}" 2022-12-01T10:04:25.3886208Z fi 2022-12-01T10:04:25.3897559Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:04:25.3897776Z env: 2022-12-01T10:04:25.3897950Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:04:25.3898293Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T10:04:25.3898623Z ##[endgroup] 2022-12-01T10:04:25.5957008Z fa72f5a0a230eb632055220542038bd4ceca184b: Pulling from pytorch/pytorch-linux-bionic-py3.7-clang9 2022-12-01T10:04:25.5963668Z 726b8a513d66: Pulling fs layer 2022-12-01T10:04:25.5964204Z 4c162df00807: Pulling fs layer 2022-12-01T10:04:25.5964580Z 12d7c3bb4071: Pulling fs layer 2022-12-01T10:04:25.5965020Z a4ada130b3d8: Pulling fs layer 2022-12-01T10:04:25.5965218Z 1c004b6833a9: Pulling fs layer 2022-12-01T10:04:25.5965422Z c69cf3e07f05: Pulling fs layer 2022-12-01T10:04:25.5965621Z d7fa3cc1c4b0: Pulling fs layer 2022-12-01T10:04:25.5965811Z 5b3f7eea69ee: Pulling fs layer 2022-12-01T10:04:25.5967976Z f3b75eca38c8: Pulling fs layer 2022-12-01T10:04:25.5968378Z fb9742168942: Pulling fs layer 2022-12-01T10:04:25.5968719Z ba69bdb35bc3: Pulling fs layer 2022-12-01T10:04:25.5969073Z 270cb7e030e6: Pulling fs layer 2022-12-01T10:04:25.5969409Z cf0509a05e67: Pulling fs layer 2022-12-01T10:04:25.5969759Z c7c883db0ae1: Pulling fs layer 2022-12-01T10:04:25.5970126Z e403471ed02a: Pulling fs layer 2022-12-01T10:04:25.5973395Z c69cf3e07f05: Waiting 2022-12-01T10:04:25.5973770Z 746c4a84b946: Pulling fs layer 2022-12-01T10:04:25.5974248Z a1625d05811f: Pulling fs layer 2022-12-01T10:04:25.5974652Z d7fa3cc1c4b0: Waiting 2022-12-01T10:04:25.5975039Z d4230d2a5583: Pulling fs layer 2022-12-01T10:04:25.5975437Z 5b3f7eea69ee: Waiting 2022-12-01T10:04:25.5975848Z 35dbacbde92e: Pulling fs layer 2022-12-01T10:04:25.5976263Z 74f159c4e8f4: Pulling fs layer 2022-12-01T10:04:25.5976655Z f3b75eca38c8: Waiting 2022-12-01T10:04:25.5977056Z 30e25e3dd13e: Pulling fs layer 2022-12-01T10:04:25.5977442Z a4ada130b3d8: Waiting 2022-12-01T10:04:25.5977844Z d9a2350b6e9c: Pulling fs layer 2022-12-01T10:04:25.5978234Z fb9742168942: Waiting 2022-12-01T10:04:25.5978607Z 892077bdfb99: Pulling fs layer 2022-12-01T10:04:25.5979000Z ba69bdb35bc3: Waiting 2022-12-01T10:04:25.5979378Z cf0509a05e67: Waiting 2022-12-01T10:04:25.5981371Z 21bc22d75102: Pulling fs layer 2022-12-01T10:04:25.5981788Z 882d6677f9d0: Pulling fs layer 2022-12-01T10:04:25.5982185Z 270cb7e030e6: Waiting 2022-12-01T10:04:25.5982541Z c7c883db0ae1: Waiting 2022-12-01T10:04:25.5982935Z 61e5f18293fb: Pulling fs layer 2022-12-01T10:04:25.5983327Z e403471ed02a: Waiting 2022-12-01T10:04:25.5983725Z 0c99ed5e47b0: Pulling fs layer 2022-12-01T10:04:25.5984109Z 746c4a84b946: Waiting 2022-12-01T10:04:25.5984505Z de5ace6d3a82: Pulling fs layer 2022-12-01T10:04:25.5984965Z 1d13d3c2c08b: Pulling fs layer 2022-12-01T10:04:25.5985526Z a1625d05811f: Waiting 2022-12-01T10:04:25.5985892Z 74f159c4e8f4: Waiting 2022-12-01T10:04:25.5986383Z 700c1b016e9c: Pulling fs layer 2022-12-01T10:04:25.5986784Z 2f80402944a8: Pulling fs layer 2022-12-01T10:04:25.5987164Z d4230d2a5583: Waiting 2022-12-01T10:04:25.5987562Z 3a954d3daee2: Pulling fs layer 2022-12-01T10:04:25.5987939Z 30e25e3dd13e: Waiting 2022-12-01T10:04:25.5988309Z 35dbacbde92e: Waiting 2022-12-01T10:04:25.5988703Z c7064c3fe401: Pulling fs layer 2022-12-01T10:04:25.5989100Z 379b44c142c3: Pulling fs layer 2022-12-01T10:04:25.5989522Z acc9cb4226e8: Pulling fs layer 2022-12-01T10:04:25.5989926Z d9a2350b6e9c: Waiting 2022-12-01T10:04:25.5990305Z 04a9294e28b0: Pulling fs layer 2022-12-01T10:04:25.5990726Z cfc71ad63958: Pulling fs layer 2022-12-01T10:04:25.5991119Z 21bc22d75102: Waiting 2022-12-01T10:04:25.5991504Z 486e91289918: Pulling fs layer 2022-12-01T10:04:25.5991889Z 98b91e719899: Pulling fs layer 2022-12-01T10:04:25.5992276Z 882d6677f9d0: Waiting 2022-12-01T10:04:25.5992677Z 086a9aefc964: Pulling fs layer 2022-12-01T10:04:25.5993055Z 61e5f18293fb: Waiting 2022-12-01T10:04:25.5993454Z e39d6e9213cc: Pulling fs layer 2022-12-01T10:04:25.5993873Z 721a11edd37d: Pulling fs layer 2022-12-01T10:04:25.5994257Z 0c99ed5e47b0: Waiting 2022-12-01T10:04:25.5994626Z 700c1b016e9c: Waiting 2022-12-01T10:04:25.5995019Z e9641285c2a8: Pulling fs layer 2022-12-01T10:04:25.5995396Z de5ace6d3a82: Waiting 2022-12-01T10:04:25.5995763Z 2f80402944a8: Waiting 2022-12-01T10:04:25.5996130Z 1d13d3c2c08b: Waiting 2022-12-01T10:04:25.5996498Z 592c7690849c: Pulling fs layer 2022-12-01T10:04:25.5996922Z bfafe70370d0: Pulling fs layer 2022-12-01T10:04:25.5997324Z 3a954d3daee2: Waiting 2022-12-01T10:04:25.5997712Z 0adbe1559bf5: Pulling fs layer 2022-12-01T10:04:25.5998115Z acc9cb4226e8: Waiting 2022-12-01T10:04:25.5998510Z f14c564c7117: Pulling fs layer 2022-12-01T10:04:25.6011522Z c7064c3fe401: Waiting 2022-12-01T10:04:25.6011824Z 04a9294e28b0: Waiting 2022-12-01T10:04:25.6013201Z a63b16c316d4: Pulling fs layer 2022-12-01T10:04:25.6013544Z 086a9aefc964: Waiting 2022-12-01T10:04:25.6013920Z 7e36a9a0278d: Pulling fs layer 2022-12-01T10:04:25.6014240Z cfc71ad63958: Waiting 2022-12-01T10:04:25.6014537Z fdb717be0bec: Pulling fs layer 2022-12-01T10:04:25.6014821Z 379b44c142c3: Waiting 2022-12-01T10:04:25.6015093Z e39d6e9213cc: Waiting 2022-12-01T10:04:25.6015383Z cbe98da5c664: Pulling fs layer 2022-12-01T10:04:25.6015669Z 486e91289918: Waiting 2022-12-01T10:04:25.6015982Z cec98a24dbc4: Pulling fs layer 2022-12-01T10:04:25.6016296Z 721a11edd37d: Waiting 2022-12-01T10:04:25.6016625Z 98b91e719899: Waiting 2022-12-01T10:04:25.6016818Z f78b1ddfe0f0: Pulling fs layer 2022-12-01T10:04:25.6017004Z bfafe70370d0: Waiting 2022-12-01T10:04:25.6017173Z 3ef99cf88871: Pulling fs layer 2022-12-01T10:04:25.6017351Z 592c7690849c: Waiting 2022-12-01T10:04:25.6017514Z 1c004b6833a9: Waiting 2022-12-01T10:04:25.6017667Z 0adbe1559bf5: Waiting 2022-12-01T10:04:25.6017849Z 6adffe6d0822: Pulling fs layer 2022-12-01T10:04:25.6018048Z 23d8dc483f65: Pulling fs layer 2022-12-01T10:04:25.6018219Z fdb717be0bec: Waiting 2022-12-01T10:04:25.6018387Z f14c564c7117: Waiting 2022-12-01T10:04:25.6018568Z acb57cbc9657: Pulling fs layer 2022-12-01T10:04:25.6018745Z 4b911fbe2260: Pulling fs layer 2022-12-01T10:04:25.6018922Z cbe98da5c664: Waiting 2022-12-01T10:04:25.6019105Z a29c59a3a158: Pulling fs layer 2022-12-01T10:04:25.6019284Z 7c23f774c2d1: Pulling fs layer 2022-12-01T10:04:25.6019462Z 7e36a9a0278d: Waiting 2022-12-01T10:04:25.6019633Z cec98a24dbc4: Waiting 2022-12-01T10:04:25.6019786Z 7c23f774c2d1: Waiting 2022-12-01T10:04:25.6019956Z acb57cbc9657: Waiting 2022-12-01T10:04:25.6043542Z a29c59a3a158: Waiting 2022-12-01T10:04:25.6043981Z f78b1ddfe0f0: Waiting 2022-12-01T10:04:25.6044264Z 3ef99cf88871: Waiting 2022-12-01T10:04:25.6044488Z 23d8dc483f65: Waiting 2022-12-01T10:04:25.6044642Z a63b16c316d4: Waiting 2022-12-01T10:04:25.6044809Z 4b911fbe2260: Waiting 2022-12-01T10:04:25.6601186Z 4c162df00807: Download complete 2022-12-01T10:04:25.7370952Z a4ada130b3d8: Download complete 2022-12-01T10:04:25.9175790Z 726b8a513d66: Verifying Checksum 2022-12-01T10:04:25.9176194Z 726b8a513d66: Download complete 2022-12-01T10:04:25.9989532Z c69cf3e07f05: Download complete 2022-12-01T10:04:26.1421805Z 5b3f7eea69ee: Verifying Checksum 2022-12-01T10:04:26.1422246Z 5b3f7eea69ee: Download complete 2022-12-01T10:04:26.2153694Z f3b75eca38c8: Verifying Checksum 2022-12-01T10:04:26.2153954Z f3b75eca38c8: 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2022-12-01T10:05:17.4568358Z e9641285c2a8: Verifying Checksum 2022-12-01T10:05:17.4568674Z e9641285c2a8: Download complete 2022-12-01T10:05:18.8107245Z 882d6677f9d0: Pull complete 2022-12-01T10:05:19.0091951Z 61e5f18293fb: Pull complete 2022-12-01T10:05:19.2365902Z 0c99ed5e47b0: Pull complete 2022-12-01T10:05:19.4530760Z de5ace6d3a82: Pull complete 2022-12-01T10:05:19.6035230Z 1d13d3c2c08b: Pull complete 2022-12-01T10:05:19.8075305Z 700c1b016e9c: Pull complete 2022-12-01T10:05:23.9431113Z 2f80402944a8: Pull complete 2022-12-01T10:05:24.1768539Z 3a954d3daee2: Pull complete 2022-12-01T10:05:24.4094746Z c7064c3fe401: Pull complete 2022-12-01T10:05:24.6046186Z 379b44c142c3: Pull complete 2022-12-01T10:05:24.8505050Z acc9cb4226e8: Pull complete 2022-12-01T10:05:25.0642557Z 04a9294e28b0: Pull complete 2022-12-01T10:05:25.3020164Z cfc71ad63958: Pull complete 2022-12-01T10:05:25.5189711Z 486e91289918: Pull complete 2022-12-01T10:05:25.7401479Z 98b91e719899: Pull complete 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acb57cbc9657: Pull complete 2022-12-01T10:05:57.5385751Z 4b911fbe2260: Pull complete 2022-12-01T10:05:57.7533189Z a29c59a3a158: Pull complete 2022-12-01T10:05:59.3599036Z 7c23f774c2d1: Pull complete 2022-12-01T10:05:59.5017587Z Digest: sha256:922efd3e5de9c9bb7c8bbf26292cfc402e4fe496007343b3cdeaa900d9eba7e5 2022-12-01T10:05:59.5337258Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T10:05:59.5513553Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T10:05:59.5635359Z ##[group]Run python3 -m pip install psutil==5.9.1 2022-12-01T10:05:59.5635702Z python3 -m pip install psutil==5.9.1 2022-12-01T10:05:59.5635973Z python3 -m pip install pynvml==11.4.1 2022-12-01T10:05:59.5665081Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2022-12-01T10:05:59.5665394Z echo "::set-output name=monitor-script-pid::${!}" 2022-12-01T10:05:59.5698722Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:05:59.5698948Z env: 2022-12-01T10:05:59.5699132Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:05:59.5699308Z ##[endgroup] 2022-12-01T10:06:03.2323327Z Defaulting to user installation because normal site-packages is not writeable 2022-12-01T10:06:03.3050254Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1) 2022-12-01T10:06:03.9288401Z Defaulting to user installation because normal site-packages is not writeable 2022-12-01T10:06:03.9464918Z Requirement already satisfied: pynvml==11.4.1 in /home/ec2-user/.local/lib/python3.7/site-packages (11.4.1) 2022-12-01T10:06:04.1510673Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-12-01T10:06:04.1618236Z Prepare all required actions 2022-12-01T10:06:04.1618500Z Getting action download info 2022-12-01T10:06:04.4801236Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea) 2022-12-01T10:06:04.7219923Z Download action repository 'actions/download-artifact@v2' (SHA:f023be2c48cc18debc3bacd34cb396e0295e2869) 2022-12-01T10:06:04.8612428Z ##[group]Run ./.github/actions/download-build-artifacts 2022-12-01T10:06:04.8612657Z with: 2022-12-01T10:06:04.8612848Z name: linux-bionic-py3.7-clang9 2022-12-01T10:06:04.8613024Z env: 2022-12-01T10:06:04.8613196Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:06:04.8613383Z ##[endgroup] 2022-12-01T10:06:04.8683251Z ##[group]Run seemethere/download-artifact-s3@v4 2022-12-01T10:06:04.8683464Z with: 2022-12-01T10:06:04.8683641Z name: linux-bionic-py3.7-clang9 2022-12-01T10:06:04.8683941Z s3-bucket: gha-artifacts 2022-12-01T10:06:04.8684128Z region: us-east-1 2022-12-01T10:06:04.8684280Z env: 2022-12-01T10:06:04.8684483Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:06:04.8684653Z ##[endgroup] 2022-12-01T10:06:06.9359008Z Found 1 objects with prefix pytorch/pytorch/3591403534/linux-bionic-py3.7-clang9/ 2022-12-01T10:06:06.9359798Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2022-12-01T10:06:10.2974409Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2022-12-01T10:06:10.2974647Z 2022-12-01T10:06:10.2978219Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-12-01T10:06:10.2979232Z Artifact download has finished successfully 2022-12-01T10:06:10.3120219Z ##[group]Run unzip -o artifacts.zip 2022-12-01T10:06:10.3120455Z unzip -o artifacts.zip 2022-12-01T10:06:10.3131752Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:06:10.3131957Z env: 2022-12-01T10:06:10.3132131Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:06:10.3132319Z ##[endgroup] 2022-12-01T10:06:10.3442335Z Archive: artifacts.zip 2022-12-01T10:06:10.3443536Z creating: dist/ 2022-12-01T10:06:11.1663832Z inflating: dist/torch-1.13.0a0+gitc13d400-cp37-cp37m-linux_x86_64.whl 2022-12-01T10:06:11.1664184Z creating: build/custom_test_artifacts/ 2022-12-01T10:06:11.1664501Z creating: build/custom_test_artifacts/custom-op-build/ 2022-12-01T10:06:11.1664854Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 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build/bin/test_cpp_rpc 2022-12-01T10:06:15.4305933Z inflating: build/bin/parallel_benchmark 2022-12-01T10:06:15.4366190Z inflating: build/bin/test_mobile_nnc 2022-12-01T10:06:15.4375421Z inflating: build/bin/aot_model_compiler_test 2022-12-01T10:06:15.4687529Z inflating: build/bin/test_lazy 2022-12-01T10:06:15.5797857Z inflating: build/bin/test_tensorexpr 2022-12-01T10:06:15.5801779Z inflating: build/bin/torch_shm_manager 2022-12-01T10:06:15.7076631Z inflating: build/bin/test_api 2022-12-01T10:06:15.7631722Z inflating: build/bin/test_jit 2022-12-01T10:06:15.7633275Z inflating: .pytorch-test-times.json 2022-12-01T10:06:15.7656414Z ##[group]Run df -H 2022-12-01T10:06:15.7656602Z df -H 2022-12-01T10:06:15.7667923Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T10:06:15.7668130Z env: 2022-12-01T10:06:15.7668306Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:06:15.7668490Z ##[endgroup] 2022-12-01T10:06:15.7722367Z Filesystem Size Used Avail Use% Mounted on 2022-12-01T10:06:15.7723022Z devtmpfs 8.2G 0 8.2G 0% /dev 2022-12-01T10:06:15.7723356Z tmpfs 8.2G 103k 8.2G 1% /dev/shm 2022-12-01T10:06:15.7723663Z tmpfs 8.2G 488k 8.2G 1% /run 2022-12-01T10:06:15.7724034Z tmpfs 8.2G 0 8.2G 0% /sys/fs/cgroup 2022-12-01T10:06:15.7724367Z /dev/nvme0n1p1 162G 20G 142G 12% / 2022-12-01T10:06:15.7724578Z tmpfs 1.7G 0 1.7G 0% /run/user/0 2022-12-01T10:06:15.7743048Z ##[group]Run .github/scripts/parse_ref.py 2022-12-01T10:06:15.7743273Z .github/scripts/parse_ref.py 2022-12-01T10:06:15.7753449Z shell: /usr/bin/bash -e {0} 2022-12-01T10:06:15.7753628Z env: 2022-12-01T10:06:15.7753787Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:06:15.7753971Z ##[endgroup] 2022-12-01T10:06:15.7925223Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-12-01T10:06:15.7967750Z ##[group]Run set -x 2022-12-01T10:06:15.7968016Z set -x 2022-12-01T10:06:15.7968184Z  2022-12-01T10:06:15.7968370Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2022-12-01T10:06:15.7968628Z  TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh 2022-12-01T10:06:15.7968897Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2022-12-01T10:06:15.7969124Z  TEST_COMMAND=.jenkins/caffe2/test.sh 2022-12-01T10:06:15.7969325Z else 2022-12-01T10:06:15.7969556Z  TEST_COMMAND=.jenkins/pytorch/test.sh 2022-12-01T10:06:15.7969742Z fi 2022-12-01T10:06:15.7969897Z  2022-12-01T10:06:15.7970132Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}") 2022-12-01T10:06:15.7970351Z  2022-12-01T10:06:15.7970568Z # sanitize the input commit message and PR body here: 2022-12-01T10:06:15.7970784Z # 2022-12-01T10:06:15.7971048Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment 2022-12-01T10:06:15.7971420Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028 2022-12-01T10:06:15.7971731Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}" 2022-12-01T10:06:15.7971962Z PR_BODY="${PR_BODY//[$'\n\r']}" 2022-12-01T10:06:15.7972135Z  2022-12-01T10:06:15.7972393Z # then trim all special characters like single and double quotes to avoid unescaped inputs to 2022-12-01T10:06:15.7972669Z # wreak havoc internally 2022-12-01T10:06:15.7972890Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}" 2022-12-01T10:06:15.7973130Z export PR_BODY="${PR_BODY//[\'\"]}" 2022-12-01T10:06:15.7973316Z  2022-12-01T10:06:15.7973541Z # detached container should get cleaned up by teardown_ec2_linux 2022-12-01T10:06:15.7973897Z # TODO: Stop building test binaries as part of the build phase 2022-12-01T10:06:15.7974172Z # Used for GPU_FLAG since that doesn't play nice 2022-12-01T10:06:15.7974414Z # shellcheck disable=SC2086,SC2090 2022-12-01T10:06:15.7974622Z container_name=$(docker run \ 2022-12-01T10:06:15.7974827Z  ${GPU_FLAG:-} \ 2022-12-01T10:06:15.7975033Z  -e BUILD_ENVIRONMENT \ 2022-12-01T10:06:15.7975219Z  -e PR_NUMBER \ 2022-12-01T10:06:15.7975415Z  -e GITHUB_ACTIONS \ 2022-12-01T10:06:15.7975605Z  -e BASE_SHA \ 2022-12-01T10:06:15.7975785Z  -e BRANCH \ 2022-12-01T10:06:15.7975949Z  -e SHA1 \ 2022-12-01T10:06:15.7976136Z  -e AWS_DEFAULT_REGION \ 2022-12-01T10:06:15.7976359Z  -e IN_WHEEL_TEST \ 2022-12-01T10:06:15.7976535Z  -e SHARD_NUMBER \ 2022-12-01T10:06:15.7976723Z  -e TEST_CONFIG \ 2022-12-01T10:06:15.7976916Z  -e NUM_TEST_SHARDS \ 2022-12-01T10:06:15.7977091Z  -e PR_BODY \ 2022-12-01T10:06:15.7977281Z  -e COMMIT_MESSAGES \ 2022-12-01T10:06:15.7977492Z  -e PYTORCH_RETRY_TEST_CASES \ 2022-12-01T10:06:15.7977714Z  -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \ 2022-12-01T10:06:15.7977920Z  -e PR_LABELS \ 2022-12-01T10:06:15.7978130Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2022-12-01T10:06:15.7978411Z  -e SCCACHE_BUCKET \ 2022-12-01T10:06:15.7978618Z  -e SCCACHE_S3_KEY_PREFIX \ 2022-12-01T10:06:15.7978816Z  -e XLA_CUDA \ 2022-12-01T10:06:15.7979027Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2022-12-01T10:06:15.7979262Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2022-12-01T10:06:15.7979500Z  --ulimit stack=10485760:83886080 \ 2022-12-01T10:06:15.7979732Z  --security-opt seccomp=unconfined \ 2022-12-01T10:06:15.7979946Z  --cap-add=SYS_PTRACE \ 2022-12-01T10:06:15.7980141Z  --ipc=host \ 2022-12-01T10:06:15.7980376Z  --shm-size="${SHM_SIZE}" \ 2022-12-01T10:06:15.7980558Z  --tty \ 2022-12-01T10:06:15.7980733Z  --detach \ 2022-12-01T10:06:15.7980928Z  --name="${container_name}" \ 2022-12-01T10:06:15.7981115Z  --user jenkins \ 2022-12-01T10:06:15.7981350Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2022-12-01T10:06:15.7981606Z  -w /var/lib/jenkins/workspace \ 2022-12-01T10:06:15.7981814Z  "${DOCKER_IMAGE}" 2022-12-01T10:06:15.7981975Z ) 2022-12-01T10:06:15.7982247Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2022-12-01T10:06:15.7992297Z shell: /usr/bin/bash -e {0} 2022-12-01T10:06:15.7992467Z env: 2022-12-01T10:06:15.7992644Z GIT_DEFAULT_BRANCH: master 2022-12-01T10:06:15.7992879Z BUILD_ENVIRONMENT: linux-bionic-py3.7-clang9 2022-12-01T10:06:15.7993086Z PR_NUMBER: 89997 2022-12-01T10:06:15.7993267Z BRANCH: pull/89997 2022-12-01T10:06:15.7993487Z SHA1: c13d400bffe90e16b96520bbc8a41a6f0c9cd584 2022-12-01T10:06:15.7993723Z BASE_SHA: ae2fe4033cf3b17259b17f351020b988fa893f91 2022-12-01T10:06:15.7993946Z PYTORCH_RETRY_TEST_CASES: 1 2022-12-01T10:06:15.7994154Z PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1 2022-12-01T10:06:15.7994340Z TEST_CONFIG: dynamo 2022-12-01T10:06:15.7994519Z SHARD_NUMBER: 2 2022-12-01T10:06:15.7994690Z NUM_TEST_SHARDS: 2 2022-12-01T10:06:15.7995350Z PR_BODY: Link to landed master PR (if applicable): https://github.com/pytorch/pytorch/pull/88993 Criteria category: 1: This prevents a crash, which was introduced [here](https://github.com/pytorch/pytorch/commit/4b7de265569f7fd731dd1cfea83ce804cc22f7c0#diff-45b117ca26b4fc9174fbe0d7a9cd8cb1c43964cd5e2bb20c7778ee00a942ef63), tagged for 1.13 2: Prevents a crash I'm hoping this is a low-risk change, since it's just changing one method for its safer form. 2022-12-01T10:06:15.7996028Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2022-12-01T10:06:15.7996258Z SCCACHE_S3_KEY_PREFIX: pull 2022-12-01T10:06:15.7996492Z SHM_SIZE: 1g 2022-12-01T10:06:15.7996830Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T10:06:15.7997140Z XLA_CUDA: 2022-12-01T10:06:15.7997402Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2022-12-01T10:06:15.7997666Z ##[endgroup] 2022-12-01T10:06:15.8019584Z + [[ dynamo == \m\u\l\t\i\g\p\u ]] 2022-12-01T10:06:15.8019983Z + [[ linux-bionic-py3.7-clang9 == *onnx* ]] 2022-12-01T10:06:15.8020380Z + TEST_COMMAND=.jenkins/pytorch/test.sh 2022-12-01T10:06:15.8022357Z ++ git cherry -v origin/master 2022-12-01T10:06:16.2258548Z + COMMIT_MESSAGES='+ 56508e29e6b1847e050462d818021a0389d0de99 Release 1.13, Install torch from test channel, Pin build… (#86290) 2022-12-01T10:06:16.2259397Z - f682048bf9475d324044e955d8d67464ee446c3a Fix for the binary upload (#86385) 2022-12-01T10:06:16.2260162Z + 95112ca043c37e38101e629c1f69663e911cc909 Fix binary builds for the release - unblock release (#86484) 2022-12-01T10:06:16.2260816Z - c38dbd0e1dd88cce783c8dce6cce1a97276b6bb9 Conditionally build the TestApp benchmark based on lite interpreter (#86314) (#86377) 2022-12-01T10:06:16.2261644Z - 50a9cd95baf29e136fdf5f027c6f4c4a7ccd5b9b Add version selector back to functorch docs (#86602) (#86689) 2022-12-01T10:06:16.2262718Z - 5be45fc4f1a86624fe5ce0e99a2a5558011ca69e [ROCm] set nvfuser default to disabled, keep CI (#86369) (#86725) 2022-12-01T10:06:16.2263190Z - f37023b03f3e92dadb247e89fd4e024eb4a0eb8a [MPS] Better error message for `slow_conv2d_forward` (#86844) 2022-12-01T10:06:16.2263632Z - 786431cd13d171965feeb17240cc7bf8dc509dba [DOC] Use type hints to show annotation in the docs (#86851) 2022-12-01T10:06:16.2264090Z - 03992a6fb3dbd371fe41d3cd95c6589b45a10f14 Make the data types of output and input consistenst for batchnorm (#86784) 2022-12-01T10:06:16.2264437Z + d9ddab5efa2224704e4b982e651589b31b1c1547 [1.13] Remove torch.vmap (#86333) 2022-12-01T10:06:16.2264949Z + 01042487e2d848d17351555ea73c61d38a60a7f9 [1.13] Release-only improvements to functorch docs (#86693) 2022-12-01T10:06:16.2265344Z - 71251e2521ac4b737af43d536dff359df256eadd ci: Just use regular checkout (#86824) (#86895) 2022-12-01T10:06:16.2265681Z + f65ac2ad20f8eab95a0d0fb93c3550afc2b86d91 [CI] Fix builder ref for release, linux only (#86904) 2022-12-01T10:06:16.2266151Z - 51c16f092ca8d7802decfd56d34ae99d1c0f335c [functorch] Add more details to the functorch install page (#86823) (#86903) 2022-12-01T10:06:16.2266644Z - 311b47b72c73509a82ed0b613a7c563e6628332b [quant] Move the order of x86 engine to avoid changing the default qengine (#86631) (#86726) 2022-12-01T10:06:16.2267024Z + 7e196948ca0c5ede7fa6e0831fda18135e6573a5 Add vmap support for slogdet; fix regression from functorch 0.2.1 (#86815) (#86902) 2022-12-01T10:06:16.2267504Z - aab841e89d850c9da9048a64541cfa78b222f1ff [ONNX] Support device().type() string comparison with constant (#86168) (#86921) 2022-12-01T10:06:16.2267957Z - de3fa48e38e5370d18748e131bd20db53390ea5c Install c10d headers with absolute path (#86257) (#86933) 2022-12-01T10:06:16.2268299Z + 366c59e2606368a6f2ee7165d58686d0d494dd92 Allow PrivateUse1 backends to not have Storage (#86557) (#86803) 2022-12-01T10:06:16.2268590Z + 492d572086a93a31fc8972d29726453ee1e46717 [functorch] fix cross (#86934) 2022-12-01T10:06:16.2269074Z - f89a762a8efcca77722071ec042a02742ec4537d Fix the performance issue that the for-loop before ExternallCall could not be parallelized. (#85056) (#86516) 2022-12-01T10:06:16.2269571Z - c40a04415c59edc45b2ceba682377b255f2091c7 Add error checking to flaky test bot platform parser (#86632) (#87201) 2022-12-01T10:06:16.2269940Z + eda8263f151a17d0d81d33e3f48fb2102daf4c14 [Release 1.13.0][DataPipe] Documentation and interface fix (#87140) 2022-12-01T10:06:16.2270330Z + d2325f3b6a17e54b5d48c68d82b74354dfd35f61 handle libomp update on circleci (#86979) (#87132) 2022-12-01T10:06:16.2270766Z - 7688e5eeabce25b67aa99280772d094b1c5f7091 [ONNX] Fix triu/tril export with diagonal input (#86843) (#86925) 2022-12-01T10:06:16.2271205Z - 1ebff1dcaf75d0305dc713eea104ddfa3ae6b588 [ONNX] Renable assert diagnostic test (#85999) (#86924) 2022-12-01T10:06:16.2271651Z - 1442f04f3bab3b0e0f22fbb68c8f328e17801c69 Enables lazy loading of cuda modules if not set by user (#86509) 2022-12-01T10:06:16.2271989Z + d324341922beb064057e12daae19199480885d5e Bug fix for torch._C._willEngineExecuteNode (#86672) 2022-12-01T10:06:16.2272458Z - 894bad72c9dfb946e9bdfebaf2db41473b3dd4fe [ONNX] Fix scalar_type_analysis metadata for copied constant (#86716) (#86923) 2022-12-01T10:06:16.2272920Z - ef6dd0d34d379604eec8db34dd58581b8b061249 [ONNX] Ignore print(Tensor) during tracing (#86223) (#87122) 2022-12-01T10:06:16.2273371Z - e6d8c1392c817636c15ad974dd160292cdc471bc [einsum] Fix opt_einsum defaults to be more reasonable (#86985) (#87144) 2022-12-01T10:06:16.2273748Z + 3af7c7fc98af441ca90ef38b262497b530a317fb [einsum] fix MPS regression and fix incorrect contraction order when path is None (#87261) 2022-12-01T10:06:16.2274214Z - 9e3df4920f75fa2aaf5bbe04ed302fc80008a8b9 Improve NestedTensor documentation (#85186) (#87337) 2022-12-01T10:06:16.2274662Z - 3ca59f4b8aff32fbad3fcd13b812b5335047b8ce Reenable aot tests on windows for cuda 11.7 and up (#87193) (#87307) 2022-12-01T10:06:16.2275089Z - 0948dbb3e7d6e5e99305b71423f7e9a45a6e5e14 Add torch.sparse overview section (#85265) (#87376) 2022-12-01T10:06:16.2275594Z - 1f80ac7fa72cacafbb4901109b465db05f91d818 [Docs] Update mm family ops and F.linear to note limited sparse support. (#86220) (#87379) 2022-12-01T10:06:16.2276076Z - 7342a3b0eac2e3ebf4d9b5ce1c3c73c4134c8751 Add prototype warning to MaskedTensor constructor (#87107) (#87380) 2022-12-01T10:06:16.2276502Z - aba5544affda233f8413b5fd74df1cdf7ed91c18 [maskedtensor] add docs (#84887) (#87381) 2022-12-01T10:06:16.2276958Z - 6e2cb22d74d1939e0aa5c00c665a58e8796bef31 [functorch][docs] Downgrade the warning about forward-mode AD coverage (#87383) (#87386) 2022-12-01T10:06:16.2277411Z + ca0ee922bc9440bfc86b332d69ee0559f748bc6e [release] Add warning to stateless.functional_call for deprecated behavior (#87079) 2022-12-01T10:06:16.2277889Z - d2ce4310bad94f2e30fd75cb14e175bcef7ba6fa Assert if padding mask type is unexpected (#87106) (#87384) 2022-12-01T10:06:16.2278340Z - 05cb998e11d109a55ddee0fb72c17aa07fa8104a [MPS] Do not dispatch empty job in `bitwise_not` (#87286) (#87427) 2022-12-01T10:06:16.2278741Z - 385022c76e4229a9393d63871225e0961e91c2db [ci] handle libomp upgrade on github (#87382) (#87408) 2022-12-01T10:06:16.2279146Z - 3ffddc0b2d5fc963463c98b518b0eb1f88788a74 [functorch] fix AOTAutograd tutorial (#87415) (#87434) 2022-12-01T10:06:16.2279475Z + 55c76baf579cb6593f87d1a23e9a49afeb55f15a [1.13] Fix functorch version docs (#87392) 2022-12-01T10:06:16.2279862Z - 59686b4c60289188436ac61576fd389821858fa5 [maskedtensor] fix docs formatting (#87387) (#87406) 2022-12-01T10:06:16.2280172Z + 0c0df0be7497112022804df03aeeb0fcbadc9243 Add `weights_only` option to `torch.load` (#87443) 2022-12-01T10:06:16.2280514Z + d253eb29d86af51ae17b950825ffdb5661b5af7f Avoid calling logging.basicConfig (#86959) (#87455) 2022-12-01T10:06:16.2291789Z - d3aecbd9bc58a42366abffa63748d73c872bd927 Delete torch::deploy from pytorch core (#85953) (#85953) (#87454) 2022-12-01T10:06:16.2292261Z - 51fa4fae41367a17f49ce648c7cdd6aa72f6e6ac Move PadNd from ATen/native to ATen (#87456) 2022-12-01T10:06:16.2292732Z - f6c42ae2c29ba788523149dbcc791bf14530f93d Reenable `isinstance` with `torch.distributed.ReduceOp` (#87303) (#87463) 2022-12-01T10:06:16.2293250Z - 6a8be2cb630ce79d654a707e5ea454d013acbda1 [ONNX] Reland: Update training state logic to support ScriptedModule (#86745) (#87457) 2022-12-01T10:06:16.2293705Z + 8569a44f38ff906103f40c6925dec366c7557943 [MPS] Revamp copy_to_mps_ implementation (#87475) 2022-12-01T10:06:16.2294157Z - fdb18da4cc3ee04c2423eb33b2780edc4cae64e0 Fix distributed issue by including distributed files (#87612) 2022-12-01T10:06:16.2294578Z - 341c377c0f595ff4e4a0fbdef21978c038b64b98 Add General Project Policies (#87385) (#87613) 2022-12-01T10:06:16.2294968Z - 4e1a4b150a4ccd5f401a4293a0336a9a8a1dad2d fix docs push (#87498) (#87628) 2022-12-01T10:06:16.2295381Z - 7c98e70d44abc7a1aead68b6ea6c8adc8c554db5 attempted fix for nvrtc with lovelace (#87611) (#87618) 2022-12-01T10:06:16.2295814Z - 74a9ca993bd79f8131829e9c946657fa9a1d05ef [JIT][Security] Do not blindly eval input string (#89189) (#89925) 2022-12-01T10:06:16.2296138Z + ae2fe4033cf3b17259b17f351020b988fa893f91 Update masked.rst (#89758) (#89923) 2022-12-01T10:06:16.2296536Z - c13d400bffe90e16b96520bbc8a41a6f0c9cd584 Use the Python frame safely in _pythonCallstack' 2022-12-01T10:06:16.2329827Z + COMMIT_MESSAGES='+ 56508e29e6b1847e050462d818021a0389d0de99 Release 1.13, Install torch from test channel, Pin build… (#86290)- f682048bf9475d324044e955d8d67464ee446c3a Fix for the binary upload (#86385)+ 95112ca043c37e38101e629c1f69663e911cc909 Fix binary builds for the release - unblock release (#86484)- c38dbd0e1dd88cce783c8dce6cce1a97276b6bb9 Conditionally build the TestApp benchmark based on lite interpreter (#86314) (#86377)- 50a9cd95baf29e136fdf5f027c6f4c4a7ccd5b9b Add version selector back to functorch docs (#86602) (#86689)- 5be45fc4f1a86624fe5ce0e99a2a5558011ca69e [ROCm] set nvfuser default to disabled, keep CI (#86369) (#86725)- f37023b03f3e92dadb247e89fd4e024eb4a0eb8a [MPS] Better error message for `slow_conv2d_forward` (#86844)- 786431cd13d171965feeb17240cc7bf8dc509dba [DOC] Use type hints to show annotation in the docs (#86851)- 03992a6fb3dbd371fe41d3cd95c6589b45a10f14 Make the data types of output and input consistenst for batchnorm (#86784)+ d9ddab5efa2224704e4b982e651589b31b1c1547 [1.13] Remove torch.vmap (#86333)+ 01042487e2d848d17351555ea73c61d38a60a7f9 [1.13] Release-only improvements to functorch docs (#86693)- 71251e2521ac4b737af43d536dff359df256eadd ci: Just use regular checkout (#86824) (#86895)+ f65ac2ad20f8eab95a0d0fb93c3550afc2b86d91 [CI] Fix builder ref for release, linux only (#86904)- 51c16f092ca8d7802decfd56d34ae99d1c0f335c [functorch] Add more details to the functorch install page (#86823) (#86903)- 311b47b72c73509a82ed0b613a7c563e6628332b [quant] Move the order of x86 engine to avoid changing the default qengine (#86631) (#86726)+ 7e196948ca0c5ede7fa6e0831fda18135e6573a5 Add vmap support for slogdet; fix regression from functorch 0.2.1 (#86815) (#86902)- aab841e89d850c9da9048a64541cfa78b222f1ff [ONNX] Support device().type() string comparison with constant (#86168) (#86921)- de3fa48e38e5370d18748e131bd20db53390ea5c Install c10d headers with absolute path (#86257) (#86933)+ 366c59e2606368a6f2ee7165d58686d0d494dd92 Allow PrivateUse1 backends to not have Storage (#86557) (#86803)+ 492d572086a93a31fc8972d29726453ee1e46717 [functorch] fix cross (#86934)- f89a762a8efcca77722071ec042a02742ec4537d Fix the performance issue that the for-loop before ExternallCall could not be parallelized. (#85056) (#86516)- c40a04415c59edc45b2ceba682377b255f2091c7 Add error checking to flaky test bot platform parser (#86632) (#87201)+ eda8263f151a17d0d81d33e3f48fb2102daf4c14 [Release 1.13.0][DataPipe] Documentation and interface fix (#87140)+ d2325f3b6a17e54b5d48c68d82b74354dfd35f61 handle libomp update on circleci (#86979) (#87132)- 7688e5eeabce25b67aa99280772d094b1c5f7091 [ONNX] Fix triu/tril export with diagonal input (#86843) (#86925)- 1ebff1dcaf75d0305dc713eea104ddfa3ae6b588 [ONNX] Renable assert diagnostic test (#85999) (#86924)- 1442f04f3bab3b0e0f22fbb68c8f328e17801c69 Enables lazy loading of cuda modules if not set by user (#86509)+ d324341922beb064057e12daae19199480885d5e Bug fix for torch._C._willEngineExecuteNode (#86672)- 894bad72c9dfb946e9bdfebaf2db41473b3dd4fe [ONNX] Fix scalar_type_analysis metadata for copied constant (#86716) (#86923)- ef6dd0d34d379604eec8db34dd58581b8b061249 [ONNX] Ignore print(Tensor) during tracing (#86223) (#87122)- e6d8c1392c817636c15ad974dd160292cdc471bc [einsum] Fix opt_einsum defaults to be more reasonable (#86985) (#87144)+ 3af7c7fc98af441ca90ef38b262497b530a317fb [einsum] fix MPS regression and fix incorrect contraction order when path is None (#87261)- 9e3df4920f75fa2aaf5bbe04ed302fc80008a8b9 Improve NestedTensor documentation (#85186) (#87337)- 3ca59f4b8aff32fbad3fcd13b812b5335047b8ce Reenable aot tests on windows for cuda 11.7 and up (#87193) (#87307)- 0948dbb3e7d6e5e99305b71423f7e9a45a6e5e14 Add torch.sparse overview section (#85265) (#87376)- 1f80ac7fa72cacafbb4901109b465db05f91d818 [Docs] Update mm family ops and F.linear to note limited sparse support. (#86220) (#87379)- 7342a3b0eac2e3ebf4d9b5ce1c3c73c4134c8751 Add prototype warning to MaskedTensor constructor (#87107) (#87380)- aba5544affda233f8413b5fd74df1cdf7ed91c18 [maskedtensor] add docs (#84887) (#87381)- 6e2cb22d74d1939e0aa5c00c665a58e8796bef31 [functorch][docs] Downgrade the warning about forward-mode AD coverage (#87383) (#87386)+ ca0ee922bc9440bfc86b332d69ee0559f748bc6e [release] Add warning to stateless.functional_call for deprecated behavior (#87079)- d2ce4310bad94f2e30fd75cb14e175bcef7ba6fa Assert if padding mask type is unexpected (#87106) (#87384)- 05cb998e11d109a55ddee0fb72c17aa07fa8104a [MPS] Do not dispatch empty job in `bitwise_not` (#87286) (#87427)- 385022c76e4229a9393d63871225e0961e91c2db [ci] handle libomp upgrade on github (#87382) (#87408)- 3ffddc0b2d5fc963463c98b518b0eb1f88788a74 [functorch] fix AOTAutograd tutorial (#87415) (#87434)+ 55c76baf579cb6593f87d1a23e9a49afeb55f15a [1.13] Fix functorch version docs (#87392)- 59686b4c60289188436ac61576fd389821858fa5 [maskedtensor] fix docs formatting (#87387) (#87406)+ 0c0df0be7497112022804df03aeeb0fcbadc9243 Add `weights_only` option to `torch.load` (#87443)+ d253eb29d86af51ae17b950825ffdb5661b5af7f Avoid calling logging.basicConfig (#86959) (#87455)- d3aecbd9bc58a42366abffa63748d73c872bd927 Delete torch::deploy from pytorch core (#85953) (#85953) (#87454)- 51fa4fae41367a17f49ce648c7cdd6aa72f6e6ac Move PadNd from ATen/native to ATen (#87456)- f6c42ae2c29ba788523149dbcc791bf14530f93d Reenable `isinstance` with `torch.distributed.ReduceOp` (#87303) (#87463)- 6a8be2cb630ce79d654a707e5ea454d013acbda1 [ONNX] Reland: Update training state logic to support ScriptedModule (#86745) (#87457)+ 8569a44f38ff906103f40c6925dec366c7557943 [MPS] Revamp copy_to_mps_ implementation (#87475)- fdb18da4cc3ee04c2423eb33b2780edc4cae64e0 Fix distributed issue by including distributed files (#87612)- 341c377c0f595ff4e4a0fbdef21978c038b64b98 Add General Project Policies (#87385) (#87613)- 4e1a4b150a4ccd5f401a4293a0336a9a8a1dad2d fix docs push (#87498) (#87628)- 7c98e70d44abc7a1aead68b6ea6c8adc8c554db5 attempted fix for nvrtc with lovelace (#87611) (#87618)- 74a9ca993bd79f8131829e9c946657fa9a1d05ef [JIT][Security] Do not blindly eval input string (#89189) (#89925)+ ae2fe4033cf3b17259b17f351020b988fa893f91 Update masked.rst (#89758) (#89923)- c13d400bffe90e16b96520bbc8a41a6f0c9cd584 Use the Python frame safely in _pythonCallstack' 2022-12-01T10:06:16.2336767Z + PR_BODY='Link to landed master PR (if applicable):https://github.com/pytorch/pytorch/pull/88993Criteria category:1: This prevents a crash, which was introduced [here](https://github.com/pytorch/pytorch/commit/4b7de265569f7fd731dd1cfea83ce804cc22f7c0#diff-45b117ca26b4fc9174fbe0d7a9cd8cb1c43964cd5e2bb20c7778ee00a942ef63), tagged for 1.132: Prevents a crashI'\''m hoping this is a low-risk change, since it'\''s just changing one method for its safer form.' 2022-12-01T10:06:16.2349232Z + export 'COMMIT_MESSAGES=+ 56508e29e6b1847e050462d818021a0389d0de99 Release 1.13, Install torch from test channel, Pin build… (#86290)- f682048bf9475d324044e955d8d67464ee446c3a Fix for the binary upload (#86385)+ 95112ca043c37e38101e629c1f69663e911cc909 Fix binary builds for the release - unblock release (#86484)- c38dbd0e1dd88cce783c8dce6cce1a97276b6bb9 Conditionally build the TestApp benchmark based on lite interpreter (#86314) (#86377)- 50a9cd95baf29e136fdf5f027c6f4c4a7ccd5b9b Add version selector back to functorch docs (#86602) (#86689)- 5be45fc4f1a86624fe5ce0e99a2a5558011ca69e [ROCm] set nvfuser default to disabled, keep CI (#86369) (#86725)- f37023b03f3e92dadb247e89fd4e024eb4a0eb8a [MPS] Better error message for `slow_conv2d_forward` (#86844)- 786431cd13d171965feeb17240cc7bf8dc509dba [DOC] Use type hints to show annotation in the docs (#86851)- 03992a6fb3dbd371fe41d3cd95c6589b45a10f14 Make the data types of output and input consistenst for batchnorm (#86784)+ d9ddab5efa2224704e4b982e651589b31b1c1547 [1.13] Remove torch.vmap (#86333)+ 01042487e2d848d17351555ea73c61d38a60a7f9 [1.13] Release-only improvements to functorch docs (#86693)- 71251e2521ac4b737af43d536dff359df256eadd ci: Just use regular checkout (#86824) (#86895)+ f65ac2ad20f8eab95a0d0fb93c3550afc2b86d91 [CI] Fix builder ref for release, linux only (#86904)- 51c16f092ca8d7802decfd56d34ae99d1c0f335c [functorch] Add more details to the functorch install page (#86823) (#86903)- 311b47b72c73509a82ed0b613a7c563e6628332b [quant] Move the order of x86 engine to avoid changing the default qengine (#86631) (#86726)+ 7e196948ca0c5ede7fa6e0831fda18135e6573a5 Add vmap support for slogdet; fix regression from functorch 0.2.1 (#86815) (#86902)- aab841e89d850c9da9048a64541cfa78b222f1ff [ONNX] Support device().type() string comparison with constant (#86168) (#86921)- de3fa48e38e5370d18748e131bd20db53390ea5c Install c10d headers with absolute path (#86257) (#86933)+ 366c59e2606368a6f2ee7165d58686d0d494dd92 Allow PrivateUse1 backends to not have Storage (#86557) (#86803)+ 492d572086a93a31fc8972d29726453ee1e46717 [functorch] fix cross (#86934)- f89a762a8efcca77722071ec042a02742ec4537d Fix the performance issue that the for-loop before ExternallCall could not be parallelized. (#85056) (#86516)- c40a04415c59edc45b2ceba682377b255f2091c7 Add error checking to flaky test bot platform parser (#86632) (#87201)+ eda8263f151a17d0d81d33e3f48fb2102daf4c14 [Release 1.13.0][DataPipe] Documentation and interface fix (#87140)+ d2325f3b6a17e54b5d48c68d82b74354dfd35f61 handle libomp update on circleci (#86979) (#87132)- 7688e5eeabce25b67aa99280772d094b1c5f7091 [ONNX] Fix triu/tril export with diagonal input (#86843) (#86925)- 1ebff1dcaf75d0305dc713eea104ddfa3ae6b588 [ONNX] Renable assert diagnostic test (#85999) (#86924)- 1442f04f3bab3b0e0f22fbb68c8f328e17801c69 Enables lazy loading of cuda modules if not set by user (#86509)+ d324341922beb064057e12daae19199480885d5e Bug fix for torch._C._willEngineExecuteNode (#86672)- 894bad72c9dfb946e9bdfebaf2db41473b3dd4fe [ONNX] Fix scalar_type_analysis metadata for copied constant (#86716) (#86923)- ef6dd0d34d379604eec8db34dd58581b8b061249 [ONNX] Ignore print(Tensor) during tracing (#86223) (#87122)- e6d8c1392c817636c15ad974dd160292cdc471bc [einsum] Fix opt_einsum defaults to be more reasonable (#86985) (#87144)+ 3af7c7fc98af441ca90ef38b262497b530a317fb [einsum] fix MPS regression and fix incorrect contraction order when path is None (#87261)- 9e3df4920f75fa2aaf5bbe04ed302fc80008a8b9 Improve NestedTensor documentation (#85186) (#87337)- 3ca59f4b8aff32fbad3fcd13b812b5335047b8ce Reenable aot tests on windows for cuda 11.7 and up (#87193) (#87307)- 0948dbb3e7d6e5e99305b71423f7e9a45a6e5e14 Add torch.sparse overview section (#85265) (#87376)- 1f80ac7fa72cacafbb4901109b465db05f91d818 [Docs] Update mm family ops and F.linear to note limited sparse support. (#86220) (#87379)- 7342a3b0eac2e3ebf4d9b5ce1c3c73c4134c8751 Add prototype warning to MaskedTensor constructor (#87107) (#87380)- aba5544affda233f8413b5fd74df1cdf7ed91c18 [maskedtensor] add docs (#84887) (#87381)- 6e2cb22d74d1939e0aa5c00c665a58e8796bef31 [functorch][docs] Downgrade the warning about forward-mode AD coverage (#87383) (#87386)+ ca0ee922bc9440bfc86b332d69ee0559f748bc6e [release] Add warning to stateless.functional_call for deprecated behavior (#87079)- d2ce4310bad94f2e30fd75cb14e175bcef7ba6fa Assert if padding mask type is unexpected (#87106) (#87384)- 05cb998e11d109a55ddee0fb72c17aa07fa8104a [MPS] Do not dispatch empty job in `bitwise_not` (#87286) (#87427)- 385022c76e4229a9393d63871225e0961e91c2db [ci] handle libomp upgrade on github (#87382) (#87408)- 3ffddc0b2d5fc963463c98b518b0eb1f88788a74 [functorch] fix AOTAutograd tutorial (#87415) (#87434)+ 55c76baf579cb6593f87d1a23e9a49afeb55f15a [1.13] Fix functorch version docs (#87392)- 59686b4c60289188436ac61576fd389821858fa5 [maskedtensor] fix docs formatting (#87387) (#87406)+ 0c0df0be7497112022804df03aeeb0fcbadc9243 Add `weights_only` option to `torch.load` (#87443)+ d253eb29d86af51ae17b950825ffdb5661b5af7f Avoid calling logging.basicConfig (#86959) (#87455)- d3aecbd9bc58a42366abffa63748d73c872bd927 Delete torch::deploy from pytorch core (#85953) (#85953) (#87454)- 51fa4fae41367a17f49ce648c7cdd6aa72f6e6ac Move PadNd from ATen/native to ATen (#87456)- f6c42ae2c29ba788523149dbcc791bf14530f93d Reenable `isinstance` with `torch.distributed.ReduceOp` (#87303) (#87463)- 6a8be2cb630ce79d654a707e5ea454d013acbda1 [ONNX] Reland: Update training state logic to support ScriptedModule (#86745) (#87457)+ 8569a44f38ff906103f40c6925dec366c7557943 [MPS] Revamp copy_to_mps_ implementation (#87475)- fdb18da4cc3ee04c2423eb33b2780edc4cae64e0 Fix distributed issue by including distributed files (#87612)- 341c377c0f595ff4e4a0fbdef21978c038b64b98 Add General Project Policies (#87385) (#87613)- 4e1a4b150a4ccd5f401a4293a0336a9a8a1dad2d fix docs push (#87498) (#87628)- 7c98e70d44abc7a1aead68b6ea6c8adc8c554db5 attempted fix for nvrtc with lovelace (#87611) (#87618)- 74a9ca993bd79f8131829e9c946657fa9a1d05ef [JIT][Security] Do not blindly eval input string (#89189) (#89925)+ ae2fe4033cf3b17259b17f351020b988fa893f91 Update masked.rst (#89758) (#89923)- c13d400bffe90e16b96520bbc8a41a6f0c9cd584 Use the Python frame safely in _pythonCallstack' 2022-12-01T10:06:16.2367249Z + COMMIT_MESSAGES='+ 56508e29e6b1847e050462d818021a0389d0de99 Release 1.13, Install torch from test channel, Pin build… (#86290)- f682048bf9475d324044e955d8d67464ee446c3a Fix for the binary upload (#86385)+ 95112ca043c37e38101e629c1f69663e911cc909 Fix binary builds for the release - unblock release (#86484)- c38dbd0e1dd88cce783c8dce6cce1a97276b6bb9 Conditionally build the TestApp benchmark based on lite interpreter (#86314) (#86377)- 50a9cd95baf29e136fdf5f027c6f4c4a7ccd5b9b Add version selector back to functorch docs (#86602) (#86689)- 5be45fc4f1a86624fe5ce0e99a2a5558011ca69e [ROCm] set nvfuser default to disabled, keep CI (#86369) (#86725)- f37023b03f3e92dadb247e89fd4e024eb4a0eb8a [MPS] Better error message for `slow_conv2d_forward` (#86844)- 786431cd13d171965feeb17240cc7bf8dc509dba [DOC] Use type hints to show annotation in the docs (#86851)- 03992a6fb3dbd371fe41d3cd95c6589b45a10f14 Make the data types of output and input consistenst for batchnorm (#86784)+ d9ddab5efa2224704e4b982e651589b31b1c1547 [1.13] Remove torch.vmap (#86333)+ 01042487e2d848d17351555ea73c61d38a60a7f9 [1.13] Release-only improvements to functorch docs (#86693)- 71251e2521ac4b737af43d536dff359df256eadd ci: Just use regular checkout (#86824) (#86895)+ f65ac2ad20f8eab95a0d0fb93c3550afc2b86d91 [CI] Fix builder ref for release, linux only (#86904)- 51c16f092ca8d7802decfd56d34ae99d1c0f335c [functorch] Add more details to the functorch install page (#86823) (#86903)- 311b47b72c73509a82ed0b613a7c563e6628332b [quant] Move the order of x86 engine to avoid changing the default qengine (#86631) (#86726)+ 7e196948ca0c5ede7fa6e0831fda18135e6573a5 Add vmap support for slogdet; fix regression from functorch 0.2.1 (#86815) (#86902)- aab841e89d850c9da9048a64541cfa78b222f1ff [ONNX] Support device().type() string comparison with constant (#86168) (#86921)- de3fa48e38e5370d18748e131bd20db53390ea5c Install c10d headers with absolute path (#86257) (#86933)+ 366c59e2606368a6f2ee7165d58686d0d494dd92 Allow PrivateUse1 backends to not have Storage (#86557) (#86803)+ 492d572086a93a31fc8972d29726453ee1e46717 [functorch] fix cross (#86934)- f89a762a8efcca77722071ec042a02742ec4537d Fix the performance issue that the for-loop before ExternallCall could not be parallelized. (#85056) (#86516)- c40a04415c59edc45b2ceba682377b255f2091c7 Add error checking to flaky test bot platform parser (#86632) (#87201)+ eda8263f151a17d0d81d33e3f48fb2102daf4c14 [Release 1.13.0][DataPipe] Documentation and interface fix (#87140)+ d2325f3b6a17e54b5d48c68d82b74354dfd35f61 handle libomp update on circleci (#86979) (#87132)- 7688e5eeabce25b67aa99280772d094b1c5f7091 [ONNX] Fix triu/tril export with diagonal input (#86843) (#86925)- 1ebff1dcaf75d0305dc713eea104ddfa3ae6b588 [ONNX] Renable assert diagnostic test (#85999) (#86924)- 1442f04f3bab3b0e0f22fbb68c8f328e17801c69 Enables lazy loading of cuda modules if not set by user (#86509)+ d324341922beb064057e12daae19199480885d5e Bug fix for torch._C._willEngineExecuteNode (#86672)- 894bad72c9dfb946e9bdfebaf2db41473b3dd4fe [ONNX] Fix scalar_type_analysis metadata for copied constant (#86716) (#86923)- ef6dd0d34d379604eec8db34dd58581b8b061249 [ONNX] Ignore print(Tensor) during tracing (#86223) (#87122)- e6d8c1392c817636c15ad974dd160292cdc471bc [einsum] Fix opt_einsum defaults to be more reasonable (#86985) (#87144)+ 3af7c7fc98af441ca90ef38b262497b530a317fb [einsum] fix MPS regression and fix incorrect contraction order when path is None (#87261)- 9e3df4920f75fa2aaf5bbe04ed302fc80008a8b9 Improve NestedTensor documentation (#85186) (#87337)- 3ca59f4b8aff32fbad3fcd13b812b5335047b8ce Reenable aot tests on windows for cuda 11.7 and up (#87193) (#87307)- 0948dbb3e7d6e5e99305b71423f7e9a45a6e5e14 Add torch.sparse overview section (#85265) (#87376)- 1f80ac7fa72cacafbb4901109b465db05f91d818 [Docs] Update mm family ops and F.linear to note limited sparse support. (#86220) (#87379)- 7342a3b0eac2e3ebf4d9b5ce1c3c73c4134c8751 Add prototype warning to MaskedTensor constructor (#87107) (#87380)- aba5544affda233f8413b5fd74df1cdf7ed91c18 [maskedtensor] add docs (#84887) (#87381)- 6e2cb22d74d1939e0aa5c00c665a58e8796bef31 [functorch][docs] Downgrade the warning about forward-mode AD coverage (#87383) (#87386)+ ca0ee922bc9440bfc86b332d69ee0559f748bc6e [release] Add warning to stateless.functional_call for deprecated behavior (#87079)- d2ce4310bad94f2e30fd75cb14e175bcef7ba6fa Assert if padding mask type is unexpected (#87106) (#87384)- 05cb998e11d109a55ddee0fb72c17aa07fa8104a [MPS] Do not dispatch empty job in `bitwise_not` (#87286) (#87427)- 385022c76e4229a9393d63871225e0961e91c2db [ci] handle libomp upgrade on github (#87382) (#87408)- 3ffddc0b2d5fc963463c98b518b0eb1f88788a74 [functorch] fix AOTAutograd tutorial (#87415) (#87434)+ 55c76baf579cb6593f87d1a23e9a49afeb55f15a [1.13] Fix functorch version docs (#87392)- 59686b4c60289188436ac61576fd389821858fa5 [maskedtensor] fix docs formatting (#87387) (#87406)+ 0c0df0be7497112022804df03aeeb0fcbadc9243 Add `weights_only` option to `torch.load` (#87443)+ d253eb29d86af51ae17b950825ffdb5661b5af7f Avoid calling logging.basicConfig (#86959) (#87455)- d3aecbd9bc58a42366abffa63748d73c872bd927 Delete torch::deploy from pytorch core (#85953) (#85953) (#87454)- 51fa4fae41367a17f49ce648c7cdd6aa72f6e6ac Move PadNd from ATen/native to ATen (#87456)- f6c42ae2c29ba788523149dbcc791bf14530f93d Reenable `isinstance` with `torch.distributed.ReduceOp` (#87303) (#87463)- 6a8be2cb630ce79d654a707e5ea454d013acbda1 [ONNX] Reland: Update training state logic to support ScriptedModule (#86745) (#87457)+ 8569a44f38ff906103f40c6925dec366c7557943 [MPS] Revamp copy_to_mps_ implementation (#87475)- fdb18da4cc3ee04c2423eb33b2780edc4cae64e0 Fix distributed issue by including distributed files (#87612)- 341c377c0f595ff4e4a0fbdef21978c038b64b98 Add General Project Policies (#87385) (#87613)- 4e1a4b150a4ccd5f401a4293a0336a9a8a1dad2d fix docs push (#87498) (#87628)- 7c98e70d44abc7a1aead68b6ea6c8adc8c554db5 attempted fix for nvrtc with lovelace (#87611) (#87618)- 74a9ca993bd79f8131829e9c946657fa9a1d05ef [JIT][Security] Do not blindly eval input string (#89189) (#89925)+ ae2fe4033cf3b17259b17f351020b988fa893f91 Update masked.rst (#89758) (#89923)- c13d400bffe90e16b96520bbc8a41a6f0c9cd584 Use the Python frame safely in _pythonCallstack' 2022-12-01T10:06:16.2374098Z + export 'PR_BODY=Link to landed master PR (if applicable):https://github.com/pytorch/pytorch/pull/88993Criteria category:1: This prevents a crash, which was introduced [here](https://github.com/pytorch/pytorch/commit/4b7de265569f7fd731dd1cfea83ce804cc22f7c0#diff-45b117ca26b4fc9174fbe0d7a9cd8cb1c43964cd5e2bb20c7778ee00a942ef63), tagged for 1.132: Prevents a crashIm hoping this is a low-risk change, since its just changing one method for its safer form.' 2022-12-01T10:06:16.2375494Z + PR_BODY='Link to landed master PR (if applicable):https://github.com/pytorch/pytorch/pull/88993Criteria category:1: This prevents a crash, which was introduced [here](https://github.com/pytorch/pytorch/commit/4b7de265569f7fd731dd1cfea83ce804cc22f7c0#diff-45b117ca26b4fc9174fbe0d7a9cd8cb1c43964cd5e2bb20c7778ee00a942ef63), tagged for 1.132: Prevents a crashIm hoping this is a low-risk change, since its just changing one method for its safer form.' 2022-12-01T10:06:16.2376197Z +++ nproc --ignore=2 2022-12-01T10:06:16.2381744Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME --env-file=/tmp/github_env_3591403534 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T10:06:26.9935526Z + container_name=476c2c50599e00103ec8796e6f3aaafdf50cd2960b2c5a323c16c1d195bcec44 2022-12-01T10:06:26.9939050Z ++ echo dist/torch-1.13.0a0+gitc13d400-cp37-cp37m-linux_x86_64.whl 2022-12-01T10:06:26.9941016Z + docker exec -t 476c2c50599e00103ec8796e6f3aaafdf50cd2960b2c5a323c16c1d195bcec44 sh -c 'pip install dist/torch-1.13.0a0+gitc13d400-cp37-cp37m-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh' 2022-12-01T10:06:27.5403090Z Processing ./dist/torch-1.13.0a0+gitc13d400-cp37-cp37m-linux_x86_64.whl 2022-12-01T10:06:27.6166641Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch==1.13.0a0+gitc13d400) (4.3.0) 2022-12-01T10:06:27.6178066Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.7/site-packages (from torch==1.13.0a0+gitc13d400) (3.3.0) 2022-12-01T10:06:27.6242717Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.7/site-packages (from opt-einsum>=3.3->torch==1.13.0a0+gitc13d400) (1.18.5) 2022-12-01T10:06:28.3893681Z Installing collected packages: torch 2022-12-01T10:06:34.8026456Z Successfully installed torch-1.13.0a0+gitc13d400 2022-12-01T10:06:34.9353800Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2022-12-01T10:06:34.9510331Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.7/site-packages/torch 2022-12-01T10:06:34.9511001Z + TORCH_BIN_DIR=/opt/conda/lib/python3.7/site-packages/torch/bin 2022-12-01T10:06:34.9511562Z + TORCH_LIB_DIR=/opt/conda/lib/python3.7/site-packages/torch/lib 2022-12-01T10:06:34.9511947Z + TORCH_TEST_DIR=/opt/conda/lib/python3.7/site-packages/torch/test 2022-12-01T10:06:34.9512233Z + BUILD_DIR=build 2022-12-01T10:06:34.9512416Z + BUILD_RENAMED_DIR=build_renamed 2022-12-01T10:06:34.9512614Z + BUILD_BIN_DIR=build/bin 2022-12-01T10:06:34.9512808Z + export VALGRIND=ON 2022-12-01T10:06:34.9513019Z + VALGRIND=ON 2022-12-01T10:06:34.9513721Z + [[ linux-bionic-py3.7-clang9 == *clang9* ]] 2022-12-01T10:06:34.9514061Z + export VALGRIND=OFF 2022-12-01T10:06:34.9514353Z + VALGRIND=OFF 2022-12-01T10:06:34.9514677Z + [[ linux-bionic-py3.7-clang9 != *bazel* ]] 2022-12-01T10:06:34.9514907Z ++ realpath build/custom_test_artifacts 2022-12-01T10:06:34.9543182Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2022-12-01T10:06:34.9545849Z ++ dirname .jenkins/pytorch/test.sh 2022-12-01T10:06:34.9578241Z + source .jenkins/pytorch/common.sh 2022-12-01T10:06:34.9581545Z +++ dirname .jenkins/pytorch/common.sh 2022-12-01T10:06:34.9588958Z ++ source .jenkins/pytorch/common_utils.sh 2022-12-01T10:06:34.9590725Z +++ declare -f -t trap_add 2022-12-01T10:06:34.9594355Z ++ set -ex 2022-12-01T10:06:34.9594851Z ++ [[ linux-bionic-py3.7-clang9 == *rocm* ]] 2022-12-01T10:06:34.9595075Z ++ BUILD_TEST_LIBTORCH=0 2022-12-01T10:06:34.9596042Z ++ [[ dynamo == *xla* ]] 2022-12-01T10:06:34.9596374Z ++ [[ linux-bionic-py3.7-clang9 == *centos* ]] 2022-12-01T10:06:34.9596733Z ++ [[ linux-bionic-py3.7-clang9 == *linux-bionic* ]] 2022-12-01T10:06:34.9596936Z ++ which conda 2022-12-01T10:06:34.9608550Z /opt/conda/bin/conda 2022-12-01T10:06:34.9609621Z ++ conda install -q -y cmake 2022-12-01T10:06:38.4137444Z Collecting package metadata (current_repodata.json): ...working... done 2022-12-01T10:06:39.2687639Z Solving environment: ...working... done 2022-12-01T10:06:39.3552644Z 2022-12-01T10:06:39.3552971Z ## Package Plan ## 2022-12-01T10:06:39.3553250Z 2022-12-01T10:06:39.3553408Z environment location: /opt/conda 2022-12-01T10:06:39.3553662Z 2022-12-01T10:06:39.3553815Z added / updated specs: 2022-12-01T10:06:39.3554270Z - cmake 2022-12-01T10:06:39.3554382Z 2022-12-01T10:06:39.3554387Z 2022-12-01T10:06:39.3554493Z The following packages will be downloaded: 2022-12-01T10:06:39.3554621Z 2022-12-01T10:06:39.3554712Z package | build 2022-12-01T10:06:39.3554987Z ---------------------------|----------------- 2022-12-01T10:06:39.3555458Z bzip2-1.0.8 | h7b6447c_0 78 KB 2022-12-01T10:06:39.3555739Z c-ares-1.18.1 | h7f8727e_0 114 KB 2022-12-01T10:06:39.3556042Z ca-certificates-2022.10.11 | h06a4308_0 124 KB 2022-12-01T10:06:39.3556358Z certifi-2022.9.24 | py37h06a4308_0 154 KB 2022-12-01T10:06:39.3556646Z cmake-3.22.1 | h1fce559_0 7.3 MB 2022-12-01T10:06:39.3556914Z expat-2.4.9 | h6a678d5_0 156 KB 2022-12-01T10:06:39.3557187Z krb5-1.19.2 | hac12032_0 1.2 MB 2022-12-01T10:06:39.3557529Z libcurl-7.84.0 | h91b91d3_0 337 KB 2022-12-01T10:06:39.3557805Z libedit-3.1.20210910 | h7f8727e_0 166 KB 2022-12-01T10:06:39.3558081Z libev-4.33 | h7f8727e_1 111 KB 2022-12-01T10:06:39.3558363Z libgcc-ng-11.2.0 | h1234567_1 5.3 MB 2022-12-01T10:06:39.3558638Z libgomp-11.2.0 | h1234567_1 474 KB 2022-12-01T10:06:39.3558926Z libnghttp2-1.46.0 | hce63b2e_0 680 KB 2022-12-01T10:06:39.3559215Z libssh2-1.10.0 | h8f2d780_0 274 KB 2022-12-01T10:06:39.3559503Z libstdcxx-ng-11.2.0 | h1234567_1 4.7 MB 2022-12-01T10:06:39.3559777Z libuv-1.40.0 | h7b6447c_0 736 KB 2022-12-01T10:06:39.3560050Z lz4-c-1.9.3 | h295c915_1 185 KB 2022-12-01T10:06:39.3560326Z openssl-1.1.1s | h7f8727e_0 3.6 MB 2022-12-01T10:06:39.3560594Z rhash-1.4.1 | h3c74f83_1 203 KB 2022-12-01T10:06:39.3560869Z zstd-1.5.2 | ha4553b6_0 488 KB 2022-12-01T10:06:39.3561167Z ------------------------------------------------------------ 2022-12-01T10:06:39.3561396Z Total: 26.3 MB 2022-12-01T10:06:39.3561520Z 2022-12-01T10:06:39.3561635Z The following NEW packages will be INSTALLED: 2022-12-01T10:06:39.3561776Z 2022-12-01T10:06:39.3562036Z bzip2 pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0 None 2022-12-01T10:06:39.3562399Z c-ares pkgs/main/linux-64::c-ares-1.18.1-h7f8727e_0 None 2022-12-01T10:06:39.3562745Z cmake pkgs/main/linux-64::cmake-3.22.1-h1fce559_0 None 2022-12-01T10:06:39.3563098Z expat pkgs/main/linux-64::expat-2.4.9-h6a678d5_0 None 2022-12-01T10:06:39.3563447Z krb5 pkgs/main/linux-64::krb5-1.19.2-hac12032_0 None 2022-12-01T10:06:39.3563803Z libcurl pkgs/main/linux-64::libcurl-7.84.0-h91b91d3_0 None 2022-12-01T10:06:39.3564169Z libedit pkgs/main/linux-64::libedit-3.1.20210910-h7f8727e_0 None 2022-12-01T10:06:39.3564528Z libev pkgs/main/linux-64::libev-4.33-h7f8727e_1 None 2022-12-01T10:06:39.3564902Z libnghttp2 pkgs/main/linux-64::libnghttp2-1.46.0-hce63b2e_0 None 2022-12-01T10:06:39.3565264Z libssh2 pkgs/main/linux-64::libssh2-1.10.0-h8f2d780_0 None 2022-12-01T10:06:39.3565618Z libuv pkgs/main/linux-64::libuv-1.40.0-h7b6447c_0 None 2022-12-01T10:06:39.3565967Z lz4-c pkgs/main/linux-64::lz4-c-1.9.3-h295c915_1 None 2022-12-01T10:06:39.3566315Z rhash pkgs/main/linux-64::rhash-1.4.1-h3c74f83_1 None 2022-12-01T10:06:39.3566647Z zstd pkgs/main/linux-64::zstd-1.5.2-ha4553b6_0 None 2022-12-01T10:06:39.3566794Z 2022-12-01T10:06:39.3566894Z The following packages will be UPDATED: 2022-12-01T10:06:39.3567243Z 2022-12-01T10:06:39.3567456Z ca-certificates 2022.07.19-h06a4308_0 --> 2022.10.11-h06a4308_0 None 2022-12-01T10:06:39.3567816Z certifi 2022.9.14-py37h06a4308_0 --> 2022.9.24-py37h06a4308_0 None 2022-12-01T10:06:39.3568143Z libgcc-ng 9.3.0-h5101ec6_17 --> 11.2.0-h1234567_1 None 2022-12-01T10:06:39.3568549Z libgomp 9.3.0-h5101ec6_17 --> 11.2.0-h1234567_1 None 2022-12-01T10:06:39.3568881Z libstdcxx-ng 9.3.0-hd4cf53a_17 --> 11.2.0-h1234567_1 None 2022-12-01T10:06:39.3569203Z openssl 1.1.1q-h7f8727e_0 --> 1.1.1s-h7f8727e_0 None 2022-12-01T10:06:39.3569353Z 2022-12-01T10:06:39.3569357Z 2022-12-01T10:06:40.5199060Z Preparing transaction: ...working... done 2022-12-01T10:06:40.9705033Z Verifying transaction: ...working... done 2022-12-01T10:06:41.7645098Z Executing transaction: ...working... done 2022-12-01T10:06:41.8539905Z Retrieving notices: ...working... done 2022-12-01T10:06:42.0248095Z ++ [[ linux-bionic-py3.7-clang9 == *centos* ]] 2022-12-01T10:06:42.0248540Z + echo 'Environment variables' 2022-12-01T10:06:42.0248748Z Environment variables 2022-12-01T10:06:42.0248911Z + env 2022-12-01T10:06:42.0272696Z SHARD_NUMBER=2 2022-12-01T10:06:42.0273004Z UCC_HOME=/usr 2022-12-01T10:06:42.0273639Z BUILD_ENVIRONMENT=linux-bionic-py3.7-clang9 2022-12-01T10:06:42.0274053Z INSTALLED_DB=yes 2022-12-01T10:06:42.0274381Z HOSTNAME=476c2c50599e 2022-12-01T10:06:42.0274609Z GITHUB_REF_NAME=89997/merge 2022-12-01T10:06:42.0274845Z GITHUB_API_URL=https://api.github.com 2022-12-01T10:06:42.0275069Z OPENSSL_DIR=/opt/openssl 2022-12-01T10:06:42.0275270Z UCC_COMMIT= 2022-12-01T10:06:42.0275714Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_4688444a-cec6-43c9-b62e-d721c578cd12 2022-12-01T10:06:42.0276027Z CUDA_PATH=/usr/local/cuda 2022-12-01T10:06:42.0276395Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2022-12-01T10:06:42.0276662Z GITHUB_RUN_ATTEMPT=1 2022-12-01T10:06:42.0276846Z INSTALLED_THRIFT= 2022-12-01T10:06:42.0277021Z TEST_CONFIG=dynamo 2022-12-01T10:06:42.0277203Z GITHUB_REPOSITORY_OWNER=pytorch 2022-12-01T10:06:42.0277400Z GITHUB_ACTIONS=true 2022-12-01T10:06:42.0277569Z CI=true 2022-12-01T10:06:42.0277739Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1 2022-12-01T10:06:42.0277934Z BRANCH=pull/89997 2022-12-01T10:06:42.0278169Z GITHUB_HEAD_REF=release/1.13-callstack 2022-12-01T10:06:42.0278348Z UCX_COMMIT= 2022-12-01T10:06:42.0278551Z GITHUB_ACTOR=charlie-wt 2022-12-01T10:06:42.0278733Z GITHUB_ACTION_REF= 2022-12-01T10:06:42.0278899Z GITHUB_ACTION=__self 2022-12-01T10:06:42.0279074Z VALGRIND=OFF 2022-12-01T10:06:42.0279257Z GITHUB_REF_PROTECTED=false 2022-12-01T10:06:42.0279577Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2022-12-01T10:06:42.0281641Z *** 2022-12-01T10:06:42.0281858Z INSTALLED_VISION=yes 2022-12-01T10:06:42.0282051Z HOME=/var/lib/jenkins 2022-12-01T10:06:42.0282517Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_4688444a-cec6-43c9-b62e-d721c578cd12 2022-12-01T10:06:42.0282824Z CARGO_NET_GIT_FETCH_WITH_CLI=true 2022-12-01T10:06:42.0283031Z GITHUB_ACTION_REPOSITORY= 2022-12-01T10:06:42.0283213Z GITHUB_REF_TYPE=branch 2022-12-01T10:06:42.0283415Z GITHUB_RETENTION_DAYS=90 2022-12-01T10:06:42.0283705Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2022-12-01T10:06:42.0284130Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_4688444a-cec6-43c9-b62e-d721c578cd12 2022-12-01T10:06:42.0284428Z DEBIAN_FRONTEND=noninteractive 2022-12-01T10:06:42.0284737Z GITHUB_REF=refs/pull/89997/merge 2022-12-01T10:06:42.0285005Z GITHUB_SHA=cdc064133ad5e5a46a756ee9218659e8f252e950 2022-12-01T10:06:42.0285226Z INSTALLED_PROTOBUF=yes 2022-12-01T10:06:42.0285405Z DESIRED_CUDA= 2022-12-01T10:06:42.0285567Z GITHUB_RUN_ID=3591403534 2022-12-01T10:06:42.0285780Z GITHUB_SERVER_URL=https://github.com 2022-12-01T10:06:42.0285978Z MAX_JOBS=6 2022-12-01T10:06:42.0286298Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2022-12-01T10:06:42.0286549Z UCX_HOME=/usr 2022-12-01T10:06:42.0286732Z PYTORCH_RETRY_TEST_CASES=1 2022-12-01T10:06:42.0287145Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2022-12-01T10:06:42.0287542Z BASE_SHA=ae2fe4033cf3b17259b17f351020b988fa893f91 2022-12-01T10:06:42.0287753Z INSTALLED_ANDROID= 2022-12-01T10:06:42.0288727Z PR_BODY=Link to landed master PR (if applicable):https://github.com/pytorch/pytorch/pull/88993Criteria category:1: This prevents a crash, which was introduced [here](https://github.com/pytorch/pytorch/commit/4b7de265569f7fd731dd1cfea83ce804cc22f7c0#diff-45b117ca26b4fc9174fbe0d7a9cd8cb1c43964cd5e2bb20c7778ee00a942ef63), tagged for 1.132: Prevents a crashIm hoping this is a low-risk change, since its just changing one method for its safer form. 2022-12-01T10:06:42.0289442Z GITHUB_BASE_REF=release/1.13 2022-12-01T10:06:42.0289617Z TERM=xterm 2022-12-01T10:06:42.0289870Z XLA_CUDA= 2022-12-01T10:06:42.0290049Z TORCH_CUDA_ARCH_LIST=Maxwell 2022-12-01T10:06:42.0290234Z OPENSSL_ROOT_DIR=/opt/openssl 2022-12-01T10:06:42.0290642Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_4688444a-cec6-43c9-b62e-d721c578cd12 2022-12-01T10:06:42.0290929Z GITHUB_JOB=test 2022-12-01T10:06:42.0291115Z SCCACHE_S3_KEY_PREFIX=pull 2022-12-01T10:06:42.0303997Z COMMIT_MESSAGES=+ 56508e29e6b1847e050462d818021a0389d0de99 Release 1.13, Install torch from test channel, Pin build… (#86290)- f682048bf9475d324044e955d8d67464ee446c3a Fix for the binary upload (#86385)+ 95112ca043c37e38101e629c1f69663e911cc909 Fix binary builds for the release - unblock release (#86484)- c38dbd0e1dd88cce783c8dce6cce1a97276b6bb9 Conditionally build the TestApp benchmark based on lite interpreter (#86314) (#86377)- 50a9cd95baf29e136fdf5f027c6f4c4a7ccd5b9b Add version selector back to functorch docs (#86602) (#86689)- 5be45fc4f1a86624fe5ce0e99a2a5558011ca69e [ROCm] set nvfuser default to disabled, keep CI (#86369) (#86725)- f37023b03f3e92dadb247e89fd4e024eb4a0eb8a [MPS] Better error message for `slow_conv2d_forward` (#86844)- 786431cd13d171965feeb17240cc7bf8dc509dba [DOC] Use type hints to show annotation in the docs (#86851)- 03992a6fb3dbd371fe41d3cd95c6589b45a10f14 Make the data types of output and input consistenst for batchnorm (#86784)+ d9ddab5efa2224704e4b982e651589b31b1c1547 [1.13] Remove torch.vmap (#86333)+ 01042487e2d848d17351555ea73c61d38a60a7f9 [1.13] Release-only improvements to functorch docs (#86693)- 71251e2521ac4b737af43d536dff359df256eadd ci: Just use regular checkout (#86824) (#86895)+ f65ac2ad20f8eab95a0d0fb93c3550afc2b86d91 [CI] Fix builder ref for release, linux only (#86904)- 51c16f092ca8d7802decfd56d34ae99d1c0f335c [functorch] Add more details to the functorch install page (#86823) (#86903)- 311b47b72c73509a82ed0b613a7c563e6628332b [quant] Move the order of x86 engine to avoid changing the default qengine (#86631) (#86726)+ 7e196948ca0c5ede7fa6e0831fda18135e6573a5 Add vmap support for slogdet; fix regression from functorch 0.2.1 (#86815) (#86902)- aab841e89d850c9da9048a64541cfa78b222f1ff [ONNX] Support device().type() string comparison with constant (#86168) (#86921)- de3fa48e38e5370d18748e131bd20db53390ea5c Install c10d headers with absolute path (#86257) (#86933)+ 366c59e2606368a6f2ee7165d58686d0d494dd92 Allow PrivateUse1 backends to not have Storage (#86557) (#86803)+ 492d572086a93a31fc8972d29726453ee1e46717 [functorch] fix cross (#86934)- f89a762a8efcca77722071ec042a02742ec4537d Fix the performance issue that the for-loop before ExternallCall could not be parallelized. (#85056) (#86516)- c40a04415c59edc45b2ceba682377b255f2091c7 Add error checking to flaky test bot platform parser (#86632) (#87201)+ eda8263f151a17d0d81d33e3f48fb2102daf4c14 [Release 1.13.0][DataPipe] Documentation and interface fix (#87140)+ d2325f3b6a17e54b5d48c68d82b74354dfd35f61 handle libomp update on circleci (#86979) (#87132)- 7688e5eeabce25b67aa99280772d094b1c5f7091 [ONNX] Fix triu/tril export with diagonal input (#86843) (#86925)- 1ebff1dcaf75d0305dc713eea104ddfa3ae6b588 [ONNX] Renable assert diagnostic test (#85999) (#86924)- 1442f04f3bab3b0e0f22fbb68c8f328e17801c69 Enables lazy loading of cuda modules if not set by user (#86509)+ d324341922beb064057e12daae19199480885d5e Bug fix for torch._C._willEngineExecuteNode (#86672)- 894bad72c9dfb946e9bdfebaf2db41473b3dd4fe [ONNX] Fix scalar_type_analysis metadata for copied constant (#86716) (#86923)- ef6dd0d34d379604eec8db34dd58581b8b061249 [ONNX] Ignore print(Tensor) during tracing (#86223) (#87122)- e6d8c1392c817636c15ad974dd160292cdc471bc [einsum] Fix opt_einsum defaults to be more reasonable (#86985) (#87144)+ 3af7c7fc98af441ca90ef38b262497b530a317fb [einsum] fix MPS regression and fix incorrect contraction order when path is None (#87261)- 9e3df4920f75fa2aaf5bbe04ed302fc80008a8b9 Improve NestedTensor documentation (#85186) (#87337)- 3ca59f4b8aff32fbad3fcd13b812b5335047b8ce Reenable aot tests on windows for cuda 11.7 and up (#87193) (#87307)- 0948dbb3e7d6e5e99305b71423f7e9a45a6e5e14 Add torch.sparse overview section (#85265) (#87376)- 1f80ac7fa72cacafbb4901109b465db05f91d818 [Docs] Update mm family ops and F.linear to note limited sparse support. (#86220) (#87379)- 7342a3b0eac2e3ebf4d9b5ce1c3c73c4134c8751 Add prototype warning to MaskedTensor constructor (#87107) (#87380)- aba5544affda233f8413b5fd74df1cdf7ed91c18 [maskedtensor] add docs (#84887) (#87381)- 6e2cb22d74d1939e0aa5c00c665a58e8796bef31 [functorch][docs] Downgrade the warning about forward-mode AD coverage (#87383) (#87386)+ ca0ee922bc9440bfc86b332d69ee0559f748bc6e [release] Add warning to stateless.functional_call for deprecated behavior (#87079)- d2ce4310bad94f2e30fd75cb14e175bcef7ba6fa Assert if padding mask type is unexpected (#87106) (#87384)- 05cb998e11d109a55ddee0fb72c17aa07fa8104a [MPS] Do not dispatch empty job in `bitwise_not` (#87286) (#87427)- 385022c76e4229a9393d63871225e0961e91c2db [ci] handle libomp upgrade on github (#87382) (#87408)- 3ffddc0b2d5fc963463c98b518b0eb1f88788a74 [functorch] fix AOTAutograd tutorial (#87415) (#87434)+ 55c76baf579cb6593f87d1a23e9a49afeb55f15a [1.13] Fix functorch version docs (#87392)- 59686b4c60289188436ac61576fd389821858fa5 [maskedtensor] fix docs formatting (#87387) (#87406)+ 0c0df0be7497112022804df03aeeb0fcbadc9243 Add `weights_only` option to `torch.load` (#87443)+ d253eb29d86af51ae17b950825ffdb5661b5af7f Avoid calling logging.basicConfig (#86959) (#87455)- d3aecbd9bc58a42366abffa63748d73c872bd927 Delete torch::deploy from pytorch core (#85953) (#85953) (#87454)- 51fa4fae41367a17f49ce648c7cdd6aa72f6e6ac Move PadNd from ATen/native to ATen (#87456)- f6c42ae2c29ba788523149dbcc791bf14530f93d Reenable `isinstance` with `torch.distributed.ReduceOp` (#87303) (#87463)- 6a8be2cb630ce79d654a707e5ea454d013acbda1 [ONNX] Reland: Update training state logic to support ScriptedModule (#86745) (#87457)+ 8569a44f38ff906103f40c6925dec366c7557943 [MPS] Revamp copy_to_mps_ implementation (#87475)- fdb18da4cc3ee04c2423eb33b2780edc4cae64e0 Fix distributed issue by including distributed files (#87612)- 341c377c0f595ff4e4a0fbdef21978c038b64b98 Add General Project Policies (#87385) (#87613)- 4e1a4b150a4ccd5f401a4293a0336a9a8a1dad2d fix docs push (#87498) (#87628)- 7c98e70d44abc7a1aead68b6ea6c8adc8c554db5 attempted fix for nvrtc with lovelace (#87611) (#87618)- 74a9ca993bd79f8131829e9c946657fa9a1d05ef [JIT][Security] Do not blindly eval input string (#89189) (#89925)+ ae2fe4033cf3b17259b17f351020b988fa893f91 Update masked.rst (#89758) (#89923)- c13d400bffe90e16b96520bbc8a41a6f0c9cd584 Use the Python frame safely in _pythonCallstack 2022-12-01T10:06:42.0310173Z NUM_TEST_SHARDS=2 2022-12-01T10:06:42.0310356Z PR_NUMBER=89997 2022-12-01T10:06:42.0310775Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_4688444a-cec6-43c9-b62e-d721c578cd12 2022-12-01T10:06:42.0311040Z SHLVL=1 2022-12-01T10:06:42.0311227Z GITHUB_REPOSITORY=pytorch/pytorch 2022-12-01T10:06:42.0311459Z SHA1=c13d400bffe90e16b96520bbc8a41a6f0c9cd584 2022-12-01T10:06:42.0311673Z GITHUB_EVENT_NAME=pull_request 2022-12-01T10:06:42.0311931Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2022-12-01T10:06:42.0312139Z GITHUB_RUN_NUMBER=69319 2022-12-01T10:06:42.0312312Z GITHUB_WORKFLOW=pull 2022-12-01T10:06:42.0312617Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-12-01T10:06:42.0313080Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-12-01T10:06:42.0313361Z GITHUB_TRIGGERING_ACTOR=charlie-wt 2022-12-01T10:06:42.0313550Z _=/usr/bin/env 2022-12-01T10:06:42.0313761Z + echo 'Testing pytorch' 2022-12-01T10:06:42.0313931Z Testing pytorch 2022-12-01T10:06:42.0314125Z + export LANG=C.UTF-8 2022-12-01T10:06:42.0314314Z + LANG=C.UTF-8 2022-12-01T10:06:42.0367518Z + PR_NUMBER=89997 2022-12-01T10:06:42.0367856Z + [[ dynamo == \d\e\f\a\u\l\t ]] 2022-12-01T10:06:42.0368222Z + [[ dynamo == \d\i\s\t\r\i\b\u\t\e\d ]] 2022-12-01T10:06:42.0368571Z + [[ dynamo == \s\l\o\w ]] 2022-12-01T10:06:42.0369262Z + [[ linux-bionic-py3.7-clang9 == *slow-gradcheck* ]] 2022-12-01T10:06:42.0370985Z + [[ linux-bionic-py3.7-clang9 == *cuda* ]] 2022-12-01T10:06:42.0371477Z + [[ linux-bionic-py3.7-clang9 == *rocm* ]] 2022-12-01T10:06:42.0371961Z + [[ linux-bionic-py3.7-clang9 == *cuda11* ]] 2022-12-01T10:06:42.0372207Z + [[ dynamo == *crossref* ]] 2022-12-01T10:06:42.0372398Z + [[ dynamo == *dynamo* ]] 2022-12-01T10:06:42.0372606Z + export PYTORCH_TEST_WITH_DYNAMO=1 2022-12-01T10:06:42.0372802Z + PYTORCH_TEST_WITH_DYNAMO=1 2022-12-01T10:06:42.0373015Z + [[ -n 89997 ]] 2022-12-01T10:06:42.0373201Z + [[ -z '' ]] 2022-12-01T10:06:42.0373393Z + export PYTORCH_TEST_SKIP_CUDA_MEM_LEAK_CHECK=1 2022-12-01T10:06:42.0373703Z + PYTORCH_TEST_SKIP_CUDA_MEM_LEAK_CHECK=1 2022-12-01T10:06:42.0373985Z + [[ linux-bionic-py3.7-clang9 == *rocm* ]] 2022-12-01T10:06:42.0374263Z + [[ linux-bionic-py3.7-clang9 != *-bazel-* ]] 2022-12-01T10:06:42.0374513Z + pip_install --user ninja 2022-12-01T10:06:42.0374777Z + pip install --progress-bar off --user ninja 2022-12-01T10:06:42.4416324Z Collecting ninja 2022-12-01T10:06:42.4584015Z Downloading ninja-1.11.1-py2.py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (145 kB) 2022-12-01T10:06:43.1720578Z Installing collected packages: ninja 2022-12-01T10:06:43.1814899Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2022-12-01T10:06:43.1815421Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2022-12-01T10:06:43.1867896Z Successfully installed ninja-1.11.1 2022-12-01T10:06:43.2466916Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-12-01T10:06:43.2467458Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-12-01T10:06:43.2469320Z + [[ linux-bionic-py3.7-clang9 == *asan* ]] 2022-12-01T10:06:43.2469680Z + [[ dynamo == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2022-12-01T10:06:43.2469908Z + [[ dynamo == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2022-12-01T10:06:43.2472703Z + [[ linux-bionic-py3.7-clang9 == *tbb* ]] 2022-12-01T10:06:43.2484566Z + [[ linux-bionic-py3.7-clang9 == *libtorch* ]] 2022-12-01T10:06:43.2484921Z + [[ linux-bionic-py3.7-clang9 == *-bazel-* ]] 2022-12-01T10:06:43.2487727Z + cd test 2022-12-01T10:06:43.2488022Z + python -c 'import torch; print(torch.__config__.show())' 2022-12-01T10:06:43.9854924Z PyTorch built with: 2022-12-01T10:06:43.9855504Z - GCC 4.2 2022-12-01T10:06:43.9855777Z - C++ Version: 201402 2022-12-01T10:06:43.9856003Z - clang 9.0.0 2022-12-01T10:06:43.9856389Z - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications 2022-12-01T10:06:43.9856827Z - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) 2022-12-01T10:06:43.9857148Z - OpenMP 201107 (a.k.a. OpenMP 3.1) 2022-12-01T10:06:43.9857413Z - LAPACK is enabled (usually provided by MKL) 2022-12-01T10:06:43.9857650Z - NNPACK is enabled 2022-12-01T10:06:43.9857881Z - CPU capability usage: AVX2 2022-12-01T10:06:43.9860943Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp=libomp -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wvla-extension -Wno-range-loop-analysis -Wno-pass-failed -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -Wconstant-conversion -Wno-invalid-partial-specialization -Wno-typedef-redefinition -Wno-unused-private-field -Wno-inconsistent-missing-override -Wno-c++14-extensions -Wno-constexpr-not-const -Wno-missing-braces -Wunused-lambda-capture -Wunused-local-typedef -Qunused-arguments -fcolor-diagnostics -fdiagnostics-color=always -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 2022-12-01T10:06:43.9863111Z 2022-12-01T10:06:44.1082940Z + cd test 2022-12-01T10:06:44.1083366Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2022-12-01T10:06:44.8116718Z ATen/Parallel: 2022-12-01T10:06:44.8116996Z at::get_num_threads() : 4 2022-12-01T10:06:44.8117391Z at::get_num_interop_threads() : 4 2022-12-01T10:06:44.8117793Z OpenMP 201107 (a.k.a. OpenMP 3.1) 2022-12-01T10:06:44.8118022Z omp_get_max_threads() : 4 2022-12-01T10:06:44.8118690Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications 2022-12-01T10:06:44.8119177Z mkl_get_max_threads() : 4 2022-12-01T10:06:44.8119564Z Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) 2022-12-01T10:06:44.8120040Z std::thread::hardware_concurrency() : 8 2022-12-01T10:06:44.8120367Z Environment variables: 2022-12-01T10:06:44.8120654Z OMP_NUM_THREADS : [not set] 2022-12-01T10:06:44.8120897Z MKL_NUM_THREADS : [not set] 2022-12-01T10:06:44.8121103Z ATen parallel backend: OpenMP 2022-12-01T10:06:44.8121228Z 2022-12-01T10:06:44.9377532Z + [[ dynamo == *backward* ]] 2022-12-01T10:06:44.9378053Z + [[ dynamo == *xla* ]] 2022-12-01T10:06:44.9378424Z + [[ dynamo == \j\i\t\_\l\e\g\a\c\y ]] 2022-12-01T10:06:44.9378871Z + [[ linux-bionic-py3.7-clang9 == *libtorch* ]] 2022-12-01T10:06:44.9379103Z + [[ dynamo == distributed ]] 2022-12-01T10:06:44.9379294Z + [[ dynamo == *dynamo* ]] 2022-12-01T10:06:44.9379506Z + [[ 2 == 1 ]] 2022-12-01T10:06:44.9379686Z + [[ dynamo == *dynamo* ]] 2022-12-01T10:06:44.9379949Z + [[ 2 == 2 ]] 2022-12-01T10:06:44.9380211Z + [[ 2 -gt 1 ]] 2022-12-01T10:06:44.9380455Z + install_torchvision 2022-12-01T10:06:44.9380629Z + local commit 2022-12-01T10:06:44.9380875Z ++ get_pinned_commit vision 2022-12-01T10:06:44.9381145Z ++ cat .github/ci_commit_pins/vision.txt 2022-12-01T10:06:44.9410445Z + commit=d7d90f56117ce0955332846a5f90b8d1346c4c09 2022-12-01T10:06:44.9411337Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d7d90f56117ce0955332846a5f90b8d1346c4c09 2022-12-01T10:06:44.9412072Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d7d90f56117ce0955332846a5f90b8d1346c4c09 2022-12-01T10:06:45.2846227Z Collecting git+https://github.com/pytorch/vision.git@d7d90f56117ce0955332846a5f90b8d1346c4c09 2022-12-01T10:06:45.2852822Z Cloning https://github.com/pytorch/vision.git (to revision d7d90f56117ce0955332846a5f90b8d1346c4c09) to /tmp/pip-req-build-up5b61ye 2022-12-01T10:06:45.3100836Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-up5b61ye 2022-12-01T10:06:47.2731583Z Running command git rev-parse -q --verify 'sha^d7d90f56117ce0955332846a5f90b8d1346c4c09' 2022-12-01T10:06:47.2779794Z Running command git fetch -q https://github.com/pytorch/vision.git d7d90f56117ce0955332846a5f90b8d1346c4c09 2022-12-01T10:06:48.1975746Z Running command git checkout -q d7d90f56117ce0955332846a5f90b8d1346c4c09 2022-12-01T10:06:48.7583778Z Resolved https://github.com/pytorch/vision.git to commit d7d90f56117ce0955332846a5f90b8d1346c4c09 2022-12-01T10:06:50.2084832Z Preparing metadata (setup.py) ... [?25l- done 2022-12-01T10:06:50.2161194Z [?25hRequirement already satisfied: typing_extensions in /opt/conda/lib/python3.7/site-packages (from torchvision==0.14.0a0+d7d90f5) (4.3.0) 2022-12-01T10:06:50.2166081Z Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torchvision==0.14.0a0+d7d90f5) (1.18.5) 2022-12-01T10:06:50.2170417Z Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from torchvision==0.14.0a0+d7d90f5) (2.27.1) 2022-12-01T10:06:50.2175065Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from torchvision==0.14.0a0+d7d90f5) (1.13.0a0+gitc13d400) 2022-12-01T10:06:50.2182654Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.7/site-packages (from torchvision==0.14.0a0+d7d90f5) (9.2.0) 2022-12-01T10:06:50.2433963Z Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.14.0a0+d7d90f5) (2.0.4) 2022-12-01T10:06:50.2447964Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.14.0a0+d7d90f5) (3.3) 2022-12-01T10:06:50.2455887Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.14.0a0+d7d90f5) (1.26.8) 2022-12-01T10:06:50.2462445Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.14.0a0+d7d90f5) (2022.9.24) 2022-12-01T10:06:50.2605933Z Building wheels for collected packages: torchvision 2022-12-01T10:07:56.3169492Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2022-12-01T10:07:56.3516169Z [?25h Created wheel for torchvision: filename=torchvision-0.14.0a0+d7d90f5-cp37-cp37m-linux_x86_64.whl size=13982807 sha256=66821bb27a824908830f4bc7c002b702c5cdda67488b95af455554a8cf594776 2022-12-01T10:07:56.3517957Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/17/b1/5a/ec673bc71ef16fdf03b58b08a840c9c6188bc53a632a04e543 2022-12-01T10:07:56.3559474Z Successfully built torchvision 2022-12-01T10:07:57.0245664Z Installing collected packages: torchvision 2022-12-01T10:07:57.5836487Z Successfully installed torchvision-0.14.0a0+d7d90f5 2022-12-01T10:07:57.7130517Z + checkout_install_torchdynamo 2022-12-01T10:07:57.7130765Z + local commit 2022-12-01T10:07:57.7133767Z ++ get_pinned_commit torchdynamo 2022-12-01T10:07:57.7134154Z ++ cat .github/ci_commit_pins/torchdynamo.txt 2022-12-01T10:07:57.7168362Z + commit=6ead5cae0d1234aa64db06fe230ef56e12ec76fe 2022-12-01T10:07:57.7168762Z + pushd .. 2022-12-01T10:07:57.7170118Z ~ ~/workspace 2022-12-01T10:07:57.7170400Z + git clone https://github.com/pytorch/torchdynamo 2022-12-01T10:07:57.7179708Z Cloning into 'torchdynamo'... 2022-12-01T10:07:57.9190339Z remote: Enumerating objects: 17794, done. 2022-12-01T10:07:57.9193796Z remote: Counting objects: 0% (1/17794) 2022-12-01T10:07:57.9194285Z remote: Counting objects: 1% (178/17794) 2022-12-01T10:07:57.9194766Z remote: Counting objects: 2% (356/17794) 2022-12-01T10:07:57.9195040Z remote: Counting objects: 3% (534/17794) 2022-12-01T10:07:57.9197622Z remote: Counting objects: 4% (712/17794) 2022-12-01T10:07:57.9198121Z remote: Counting objects: 5% (890/17794) 2022-12-01T10:07:57.9198698Z remote: Counting objects: 6% (1068/17794) 2022-12-01T10:07:57.9198968Z remote: Counting objects: 7% (1246/17794) 2022-12-01T10:07:57.9199221Z remote: Counting objects: 8% (1424/17794) 2022-12-01T10:07:57.9199484Z remote: Counting objects: 9% (1602/17794) 2022-12-01T10:07:57.9199752Z remote: Counting objects: 10% (1780/17794) 2022-12-01T10:07:57.9200003Z remote: Counting objects: 11% (1958/17794) 2022-12-01T10:07:57.9200271Z remote: Counting objects: 12% (2136/17794) 2022-12-01T10:07:57.9200533Z remote: Counting objects: 13% (2314/17794) 2022-12-01T10:07:57.9206580Z remote: Counting objects: 14% (2492/17794) 2022-12-01T10:07:57.9206841Z remote: Counting objects: 15% (2670/17794) 2022-12-01T10:07:57.9207357Z remote: Counting objects: 16% (2848/17794) 2022-12-01T10:07:57.9216188Z remote: Counting objects: 17% (3025/17794) 2022-12-01T10:07:57.9216857Z remote: Counting objects: 18% (3203/17794) 2022-12-01T10:07:57.9217320Z remote: Counting objects: 19% (3381/17794) 2022-12-01T10:07:57.9217869Z remote: Counting objects: 20% (3559/17794) 2022-12-01T10:07:57.9218272Z remote: Counting objects: 21% (3737/17794) 2022-12-01T10:07:57.9218642Z remote: Counting objects: 22% (3915/17794) 2022-12-01T10:07:57.9218962Z remote: Counting objects: 23% (4093/17794) 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(6584/17794) 2022-12-01T10:07:57.9225798Z remote: Counting objects: 38% (6762/17794) 2022-12-01T10:07:57.9226193Z remote: Counting objects: 39% (6940/17794) 2022-12-01T10:07:57.9226464Z remote: Counting objects: 40% (7118/17794) 2022-12-01T10:07:57.9226710Z remote: Counting objects: 41% (7296/17794) 2022-12-01T10:07:57.9230884Z remote: Counting objects: 42% (7474/17794) 2022-12-01T10:07:57.9231394Z remote: Counting objects: 43% (7652/17794) 2022-12-01T10:07:57.9231759Z remote: Counting objects: 44% (7830/17794) 2022-12-01T10:07:57.9232007Z remote: Counting objects: 45% (8008/17794) 2022-12-01T10:07:57.9232267Z remote: Counting objects: 46% (8186/17794) 2022-12-01T10:07:57.9232659Z remote: Counting objects: 47% (8364/17794) 2022-12-01T10:07:57.9233042Z remote: Counting objects: 48% (8542/17794) 2022-12-01T10:07:57.9233304Z remote: Counting objects: 49% (8720/17794) 2022-12-01T10:07:57.9233572Z remote: Counting objects: 50% (8897/17794) 2022-12-01T10:07:57.9233817Z remote: Counting 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remote: Counting objects: 65% (11567/17794) 2022-12-01T10:07:57.9246201Z remote: Counting objects: 66% (11745/17794) 2022-12-01T10:07:57.9246465Z remote: Counting objects: 67% (11922/17794) 2022-12-01T10:07:57.9249365Z remote: Counting objects: 68% (12100/17794) 2022-12-01T10:07:57.9249767Z remote: Counting objects: 69% (12278/17794) 2022-12-01T10:07:57.9250058Z remote: Counting objects: 70% (12456/17794) 2022-12-01T10:07:57.9250335Z remote: Counting objects: 71% (12634/17794) 2022-12-01T10:07:57.9250593Z remote: Counting objects: 72% (12812/17794) 2022-12-01T10:07:57.9250861Z remote: Counting objects: 73% (12990/17794) 2022-12-01T10:07:57.9251135Z remote: Counting objects: 74% (13168/17794) 2022-12-01T10:07:57.9251388Z remote: Counting objects: 75% (13346/17794) 2022-12-01T10:07:57.9251655Z remote: Counting objects: 76% (13524/17794) 2022-12-01T10:07:57.9255083Z remote: Counting objects: 77% (13702/17794) 2022-12-01T10:07:57.9255357Z remote: Counting objects: 78% (13880/17794) 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objects: 92% (16371/17794) 2022-12-01T10:07:57.9269108Z remote: Counting objects: 93% (16549/17794) 2022-12-01T10:07:57.9269444Z remote: Counting objects: 94% (16727/17794) 2022-12-01T10:07:57.9269712Z remote: Counting objects: 95% (16905/17794) 2022-12-01T10:07:57.9269966Z remote: Counting objects: 96% (17083/17794) 2022-12-01T10:07:57.9270232Z remote: Counting objects: 97% (17261/17794) 2022-12-01T10:07:57.9270496Z remote: Counting objects: 98% (17439/17794) 2022-12-01T10:07:57.9274958Z remote: Counting objects: 99% (17617/17794) 2022-12-01T10:07:57.9275291Z remote: Counting objects: 100% (17794/17794) 2022-12-01T10:07:57.9275574Z remote: Counting objects: 100% (17794/17794), done. 2022-12-01T10:07:57.9290195Z remote: Compressing objects: 0% (1/4052) 2022-12-01T10:07:57.9350549Z remote: Compressing objects: 1% (41/4052) 2022-12-01T10:07:57.9409254Z remote: Compressing objects: 2% (82/4052) 2022-12-01T10:07:57.9505160Z remote: Compressing objects: 3% (122/4052) 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remote: Compressing objects: 31% (1257/4052) 2022-12-01T10:07:58.1199100Z remote: Compressing objects: 32% (1297/4052) 2022-12-01T10:07:58.1199495Z remote: Compressing objects: 33% (1338/4052) 2022-12-01T10:07:58.1199807Z remote: Compressing objects: 34% (1378/4052) 2022-12-01T10:07:58.1201050Z remote: Compressing objects: 35% (1419/4052) 2022-12-01T10:07:58.1201574Z remote: Compressing objects: 36% (1459/4052) 2022-12-01T10:07:58.1201949Z remote: Compressing objects: 37% (1500/4052) 2022-12-01T10:07:58.1202214Z remote: Compressing objects: 38% (1540/4052) 2022-12-01T10:07:58.1205856Z remote: Compressing objects: 39% (1581/4052) 2022-12-01T10:07:58.1206368Z remote: Compressing objects: 40% (1621/4052) 2022-12-01T10:07:58.1206801Z remote: Compressing objects: 41% (1662/4052) 2022-12-01T10:07:58.1207187Z remote: Compressing objects: 42% (1702/4052) 2022-12-01T10:07:58.1207463Z remote: Compressing objects: 43% (1743/4052) 2022-12-01T10:07:58.1207742Z remote: Compressing objects: 44% 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Compressing objects: 71% (2877/4052) 2022-12-01T10:07:58.1254418Z remote: Compressing objects: 72% (2918/4052) 2022-12-01T10:07:58.1254792Z remote: Compressing objects: 73% (2958/4052) 2022-12-01T10:07:58.1255072Z remote: Compressing objects: 74% (2999/4052) 2022-12-01T10:07:58.1255332Z remote: Compressing objects: 75% (3039/4052) 2022-12-01T10:07:58.1255608Z remote: Compressing objects: 76% (3080/4052) 2022-12-01T10:07:58.1255889Z remote: Compressing objects: 77% (3121/4052) 2022-12-01T10:07:58.1256147Z remote: Compressing objects: 78% (3161/4052) 2022-12-01T10:07:58.1256426Z remote: Compressing objects: 79% (3202/4052) 2022-12-01T10:07:58.1256698Z remote: Compressing objects: 80% (3242/4052) 2022-12-01T10:07:58.1256970Z remote: Compressing objects: 81% (3283/4052) 2022-12-01T10:07:58.1257229Z remote: Compressing objects: 82% (3323/4052) 2022-12-01T10:07:58.1257502Z remote: Compressing objects: 83% (3364/4052) 2022-12-01T10:07:58.1257777Z remote: Compressing objects: 84% (3404/4052) 2022-12-01T10:07:58.1266710Z remote: Compressing objects: 85% (3445/4052) 2022-12-01T10:07:58.1267119Z remote: Compressing objects: 86% (3485/4052) 2022-12-01T10:07:58.1267594Z remote: Compressing objects: 87% (3526/4052) 2022-12-01T10:07:58.1268073Z remote: Compressing objects: 88% (3566/4052) 2022-12-01T10:07:58.1268457Z remote: Compressing objects: 89% (3607/4052) 2022-12-01T10:07:58.1268739Z remote: Compressing objects: 90% (3647/4052) 2022-12-01T10:07:58.1269017Z remote: Compressing objects: 91% (3688/4052) 2022-12-01T10:07:58.1269352Z remote: Compressing objects: 92% (3728/4052) 2022-12-01T10:07:58.1269812Z remote: Compressing objects: 93% (3769/4052) 2022-12-01T10:07:58.1270281Z remote: Compressing objects: 94% (3809/4052) 2022-12-01T10:07:58.1270731Z remote: Compressing objects: 95% (3850/4052) 2022-12-01T10:07:58.1271231Z remote: Compressing objects: 96% (3890/4052) 2022-12-01T10:07:58.1287854Z remote: Compressing objects: 97% (3931/4052) 2022-12-01T10:07:58.1288418Z remote: Compressing objects: 98% (3971/4052) 2022-12-01T10:07:58.1288804Z remote: Compressing objects: 99% (4012/4052) 2022-12-01T10:07:58.1289089Z remote: Compressing objects: 100% (4052/4052) 2022-12-01T10:07:58.1289365Z remote: Compressing objects: 100% (4052/4052), done. 2022-12-01T10:07:58.1310053Z Receiving objects: 0% (1/17794) 2022-12-01T10:07:58.1329004Z Receiving objects: 1% (178/17794) 2022-12-01T10:07:58.1349280Z Receiving objects: 2% (356/17794) 2022-12-01T10:07:58.1367946Z Receiving objects: 3% (534/17794) 2022-12-01T10:07:58.1388182Z Receiving objects: 4% (712/17794) 2022-12-01T10:07:58.1409638Z Receiving objects: 5% (890/17794) 2022-12-01T10:07:58.1429757Z Receiving objects: 6% (1068/17794) 2022-12-01T10:07:58.1449262Z Receiving objects: 7% (1246/17794) 2022-12-01T10:07:58.1467294Z Receiving objects: 8% (1424/17794) 2022-12-01T10:07:58.1485085Z Receiving objects: 9% (1602/17794) 2022-12-01T10:07:58.1499290Z Receiving objects: 10% (1780/17794) 2022-12-01T10:07:58.1516033Z Receiving objects: 11% (1958/17794) 2022-12-01T10:07:58.1535338Z Receiving objects: 12% (2136/17794) 2022-12-01T10:07:58.1557100Z Receiving objects: 13% (2314/17794) 2022-12-01T10:07:58.1581371Z Receiving objects: 14% (2492/17794) 2022-12-01T10:07:58.1596798Z Receiving objects: 15% (2670/17794) 2022-12-01T10:07:58.1614052Z Receiving objects: 16% (2848/17794) 2022-12-01T10:07:58.1618936Z Receiving objects: 17% (3025/17794) 2022-12-01T10:07:58.1621787Z Receiving objects: 18% (3203/17794) 2022-12-01T10:07:58.1625183Z Receiving objects: 19% (3381/17794) 2022-12-01T10:07:58.1627647Z Receiving objects: 20% (3559/17794) 2022-12-01T10:07:58.1629910Z Receiving objects: 21% (3737/17794) 2022-12-01T10:07:58.1633614Z Receiving objects: 22% (3915/17794) 2022-12-01T10:07:58.1635691Z Receiving objects: 23% (4093/17794) 2022-12-01T10:07:58.1638258Z Receiving objects: 24% (4271/17794) 2022-12-01T10:07:58.1641095Z Receiving objects: 25% (4449/17794) 2022-12-01T10:07:58.1643714Z Receiving objects: 26% (4627/17794) 2022-12-01T10:07:58.1646829Z Receiving objects: 27% (4805/17794) 2022-12-01T10:07:58.1649714Z Receiving objects: 28% (4983/17794) 2022-12-01T10:07:58.1652395Z Receiving objects: 29% (5161/17794) 2022-12-01T10:07:58.1655421Z Receiving objects: 30% (5339/17794) 2022-12-01T10:07:58.1657301Z Receiving objects: 31% (5517/17794) 2022-12-01T10:07:58.1659524Z Receiving objects: 32% (5695/17794) 2022-12-01T10:07:58.1662165Z Receiving objects: 33% (5873/17794) 2022-12-01T10:07:58.1663851Z Receiving objects: 34% (6050/17794) 2022-12-01T10:07:58.1666030Z Receiving objects: 35% (6228/17794) 2022-12-01T10:07:58.1667750Z Receiving objects: 36% (6406/17794) 2022-12-01T10:07:58.1669676Z Receiving objects: 37% (6584/17794) 2022-12-01T10:07:58.1671904Z Receiving objects: 38% (6762/17794) 2022-12-01T10:07:58.1673204Z Receiving objects: 39% (6940/17794) 2022-12-01T10:07:58.1675714Z Receiving objects: 40% (7118/17794) 2022-12-01T10:07:58.1677214Z Receiving objects: 41% (7296/17794) 2022-12-01T10:07:58.1679247Z Receiving objects: 42% (7474/17794) 2022-12-01T10:07:58.1680659Z Receiving objects: 43% (7652/17794) 2022-12-01T10:07:58.1683689Z Receiving objects: 44% (7830/17794) 2022-12-01T10:07:58.1685521Z Receiving objects: 45% (8008/17794) 2022-12-01T10:07:58.1687339Z Receiving objects: 46% (8186/17794) 2022-12-01T10:07:58.1689546Z Receiving objects: 47% (8364/17794) 2022-12-01T10:07:58.1692631Z Receiving objects: 48% (8542/17794) 2022-12-01T10:07:58.1695894Z Receiving objects: 49% (8720/17794) 2022-12-01T10:07:58.1698998Z Receiving objects: 50% (8897/17794) 2022-12-01T10:07:58.1700663Z Receiving objects: 51% (9075/17794) 2022-12-01T10:07:58.1702649Z Receiving objects: 52% (9253/17794) 2022-12-01T10:07:58.1705558Z Receiving objects: 53% (9431/17794) 2022-12-01T10:07:58.1707129Z Receiving objects: 54% (9609/17794) 2022-12-01T10:07:58.1709416Z Receiving objects: 55% (9787/17794) 2022-12-01T10:07:58.1712319Z Receiving objects: 56% (9965/17794) 2022-12-01T10:07:58.1718691Z Receiving objects: 57% (10143/17794) 2022-12-01T10:07:58.1722006Z Receiving objects: 58% (10321/17794) 2022-12-01T10:07:58.1726843Z Receiving objects: 59% (10499/17794) 2022-12-01T10:07:58.1738726Z Receiving objects: 60% (10677/17794) 2022-12-01T10:07:58.1817944Z Receiving objects: 61% (10855/17794) 2022-12-01T10:07:58.1995211Z Receiving objects: 62% (11033/17794) 2022-12-01T10:07:58.2096318Z Receiving objects: 63% (11211/17794) 2022-12-01T10:07:58.2136879Z Receiving objects: 64% (11389/17794) 2022-12-01T10:07:58.2155273Z Receiving objects: 65% (11567/17794) 2022-12-01T10:07:58.2193029Z Receiving objects: 66% (11745/17794) 2022-12-01T10:07:58.2231742Z Receiving objects: 67% (11922/17794) 2022-12-01T10:07:58.2261696Z Receiving objects: 68% (12100/17794) 2022-12-01T10:07:58.2286458Z Receiving objects: 69% (12278/17794) 2022-12-01T10:07:58.2321044Z Receiving objects: 70% (12456/17794) 2022-12-01T10:07:58.2343998Z Receiving objects: 71% (12634/17794) 2022-12-01T10:07:58.2371451Z Receiving objects: 72% (12812/17794) 2022-12-01T10:07:58.2393606Z Receiving objects: 73% (12990/17794) 2022-12-01T10:07:58.2424268Z Receiving objects: 74% (13168/17794) 2022-12-01T10:07:58.2447466Z Receiving objects: 75% (13346/17794) 2022-12-01T10:07:58.2472321Z Receiving objects: 76% (13524/17794) 2022-12-01T10:07:58.2491894Z Receiving objects: 77% (13702/17794) 2022-12-01T10:07:58.2503366Z Receiving objects: 78% (13880/17794) 2022-12-01T10:07:58.2518879Z Receiving objects: 79% (14058/17794) 2022-12-01T10:07:58.2613985Z Receiving objects: 80% (14236/17794) 2022-12-01T10:07:58.2625165Z Receiving objects: 81% (14414/17794) 2022-12-01T10:07:58.2643805Z Receiving objects: 82% (14592/17794) 2022-12-01T10:07:58.2659556Z Receiving objects: 83% (14770/17794) 2022-12-01T10:07:58.2667625Z Receiving objects: 84% (14947/17794) 2022-12-01T10:07:58.2676054Z Receiving objects: 85% (15125/17794) 2022-12-01T10:07:58.2682453Z Receiving objects: 86% (15303/17794) 2022-12-01T10:07:58.2692591Z Receiving objects: 87% (15481/17794) 2022-12-01T10:07:58.2699563Z Receiving objects: 88% (15659/17794) 2022-12-01T10:07:58.2708871Z Receiving objects: 89% (15837/17794) 2022-12-01T10:07:58.2719847Z Receiving objects: 90% (16015/17794) 2022-12-01T10:07:58.2732552Z Receiving objects: 91% (16193/17794) 2022-12-01T10:07:58.2743707Z Receiving objects: 92% (16371/17794) 2022-12-01T10:07:58.2747462Z Receiving objects: 93% (16549/17794) 2022-12-01T10:07:58.2755345Z Receiving objects: 94% (16727/17794) 2022-12-01T10:07:58.2768454Z Receiving objects: 95% (16905/17794) 2022-12-01T10:07:58.2777862Z Receiving objects: 96% (17083/17794) 2022-12-01T10:07:58.2787395Z Receiving objects: 97% (17261/17794) 2022-12-01T10:07:58.2812708Z Receiving objects: 98% (17439/17794) 2022-12-01T10:07:58.2877092Z Receiving objects: 99% (17617/17794) 2022-12-01T10:07:58.2877539Z remote: Total 17794 (delta 13827), reused 17470 (delta 13655), pack-reused 0 2022-12-01T10:07:58.2896328Z Receiving objects: 100% (17794/17794) 2022-12-01T10:07:58.2896579Z Receiving objects: 100% (17794/17794), 6.79 MiB | 42.37 MiB/s, done. 2022-12-01T10:07:58.2928440Z Resolving deltas: 0% (0/13827) 2022-12-01T10:07:58.2938184Z Resolving deltas: 1% (152/13827) 2022-12-01T10:07:58.2952185Z Resolving deltas: 2% (297/13827) 2022-12-01T10:07:58.2960142Z Resolving deltas: 3% (486/13827) 2022-12-01T10:07:58.2966831Z Resolving deltas: 4% (603/13827) 2022-12-01T10:07:58.2983315Z Resolving deltas: 5% (692/13827) 2022-12-01T10:07:58.2997661Z Resolving deltas: 6% (914/13827) 2022-12-01T10:07:58.2999187Z Resolving deltas: 7% (1094/13827) 2022-12-01T10:07:58.3011178Z Resolving deltas: 8% (1114/13827) 2022-12-01T10:07:58.3026053Z Resolving deltas: 9% (1269/13827) 2022-12-01T10:07:58.3031796Z Resolving deltas: 10% (1460/13827) 2022-12-01T10:07:58.3048166Z Resolving deltas: 11% (1532/13827) 2022-12-01T10:07:58.3052750Z Resolving deltas: 12% (1746/13827) 2022-12-01T10:07:58.3064875Z Resolving deltas: 13% (1808/13827) 2022-12-01T10:07:58.3077939Z Resolving deltas: 14% (1973/13827) 2022-12-01T10:07:58.3086521Z Resolving deltas: 15% (2130/13827) 2022-12-01T10:07:58.3097140Z Resolving deltas: 16% (2251/13827) 2022-12-01T10:07:58.3107246Z Resolving deltas: 17% (2393/13827) 2022-12-01T10:07:58.3115289Z Resolving deltas: 18% (2530/13827) 2022-12-01T10:07:58.3126792Z Resolving deltas: 19% (2637/13827) 2022-12-01T10:07:58.3154692Z Resolving deltas: 20% (2793/13827) 2022-12-01T10:07:58.3158463Z Resolving deltas: 22% (3149/13827) 2022-12-01T10:07:58.3170599Z Resolving deltas: 23% (3201/13827) 2022-12-01T10:07:58.3177681Z Resolving deltas: 24% (3366/13827) 2022-12-01T10:07:58.3186305Z Resolving deltas: 25% (3473/13827) 2022-12-01T10:07:58.3198593Z Resolving deltas: 26% (3596/13827) 2022-12-01T10:07:58.3204573Z Resolving deltas: 27% (3786/13827) 2022-12-01T10:07:58.3214487Z Resolving deltas: 28% (3882/13827) 2022-12-01T10:07:58.3229747Z Resolving deltas: 29% (4025/13827) 2022-12-01T10:07:58.3233530Z Resolving deltas: 30% (4249/13827) 2022-12-01T10:07:58.3242902Z Resolving deltas: 31% (4299/13827) 2022-12-01T10:07:58.3252006Z Resolving deltas: 32% (4436/13827) 2022-12-01T10:07:58.3263065Z Resolving deltas: 33% (4577/13827) 2022-12-01T10:07:58.3270857Z Resolving deltas: 34% (4735/13827) 2022-12-01T10:07:58.3280620Z Resolving deltas: 35% (4847/13827) 2022-12-01T10:07:58.3290385Z Resolving deltas: 36% (4985/13827) 2022-12-01T10:07:58.3301986Z Resolving deltas: 37% (5118/13827) 2022-12-01T10:07:58.3311598Z Resolving deltas: 38% (5294/13827) 2022-12-01T10:07:58.3319995Z Resolving deltas: 39% (5438/13827) 2022-12-01T10:07:58.3336980Z Resolving deltas: 40% (5569/13827) 2022-12-01T10:07:58.3346497Z Resolving deltas: 42% (5825/13827) 2022-12-01T10:07:58.3358129Z Resolving deltas: 43% (5949/13827) 2022-12-01T10:07:58.3367818Z Resolving deltas: 44% (6095/13827) 2022-12-01T10:07:58.3383822Z Resolving deltas: 45% (6224/13827) 2022-12-01T10:07:58.3393777Z Resolving deltas: 46% (6373/13827) 2022-12-01T10:07:58.3404494Z Resolving deltas: 47% (6499/13827) 2022-12-01T10:07:58.3414507Z Resolving deltas: 48% (6656/13827) 2022-12-01T10:07:58.3426334Z Resolving deltas: 49% (6779/13827) 2022-12-01T10:07:58.3435677Z Resolving deltas: 50% (6932/13827) 2022-12-01T10:07:58.3445530Z Resolving deltas: 51% (7056/13827) 2022-12-01T10:07:58.3456985Z Resolving deltas: 52% (7195/13827) 2022-12-01T10:07:58.3490589Z Resolving deltas: 53% (7347/13827) 2022-12-01T10:07:58.3507346Z Resolving deltas: 54% (7506/13827) 2022-12-01T10:07:58.3550700Z Resolving deltas: 55% (7616/13827) 2022-12-01T10:07:58.3597990Z Resolving deltas: 56% (7750/13827) 2022-12-01T10:07:58.3627718Z Resolving deltas: 57% (7937/13827) 2022-12-01T10:07:58.3653325Z Resolving deltas: 58% (8065/13827) 2022-12-01T10:07:58.3799230Z Resolving deltas: 59% (8178/13827) 2022-12-01T10:07:58.3824996Z Resolving deltas: 61% (8477/13827) 2022-12-01T10:07:58.3859908Z Resolving deltas: 62% (8587/13827) 2022-12-01T10:07:58.3979975Z Resolving deltas: 64% (8858/13827) 2022-12-01T10:07:58.3994991Z Resolving deltas: 67% (9329/13827) 2022-12-01T10:07:58.4036134Z Resolving deltas: 68% (9403/13827) 2022-12-01T10:07:58.4058862Z Resolving deltas: 69% (9568/13827) 2022-12-01T10:07:58.4159248Z Resolving deltas: 70% (9697/13827) 2022-12-01T10:07:58.4200110Z Resolving deltas: 72% (9999/13827) 2022-12-01T10:07:58.4231967Z Resolving deltas: 73% (10155/13827) 2022-12-01T10:07:58.4268246Z Resolving deltas: 74% (10254/13827) 2022-12-01T10:07:58.4353063Z Resolving deltas: 75% (10398/13827) 2022-12-01T10:07:58.4397918Z Resolving deltas: 77% (10709/13827) 2022-12-01T10:07:58.4460977Z Resolving deltas: 78% (10868/13827) 2022-12-01T10:07:58.4467049Z Resolving deltas: 79% (11041/13827) 2022-12-01T10:07:58.4494034Z Resolving deltas: 80% (11070/13827) 2022-12-01T10:07:58.4525324Z Resolving deltas: 81% (11222/13827) 2022-12-01T10:07:58.4568446Z Resolving deltas: 82% (11438/13827) 2022-12-01T10:07:58.4670120Z Resolving deltas: 83% (11523/13827) 2022-12-01T10:07:58.4709557Z Resolving deltas: 84% (11684/13827) 2022-12-01T10:07:58.4917353Z Resolving deltas: 85% (11784/13827) 2022-12-01T10:07:58.4949255Z Resolving deltas: 87% (12095/13827) 2022-12-01T10:07:58.4971916Z Resolving deltas: 88% (12202/13827) 2022-12-01T10:07:58.5022507Z Resolving deltas: 89% (12309/13827) 2022-12-01T10:07:58.5058796Z Resolving deltas: 90% (12480/13827) 2022-12-01T10:07:58.5091817Z Resolving deltas: 91% (12599/13827) 2022-12-01T10:07:58.5125006Z Resolving deltas: 92% (12748/13827) 2022-12-01T10:07:58.5142460Z Resolving deltas: 93% (12887/13827) 2022-12-01T10:07:58.5166831Z Resolving deltas: 94% (13003/13827) 2022-12-01T10:07:58.5194528Z Resolving deltas: 95% (13141/13827) 2022-12-01T10:07:58.5213190Z Resolving deltas: 96% (13281/13827) 2022-12-01T10:07:58.5226544Z Resolving deltas: 97% (13423/13827) 2022-12-01T10:07:58.5243571Z Resolving deltas: 98% (13556/13827) 2022-12-01T10:07:58.5288125Z Resolving deltas: 99% (13693/13827) 2022-12-01T10:07:58.5288653Z Resolving deltas: 100% (13827/13827) 2022-12-01T10:07:58.5289043Z Resolving deltas: 100% (13827/13827), done. 2022-12-01T10:07:58.5844330Z + pushd torchdynamo 2022-12-01T10:07:58.5844573Z ~/torchdynamo ~ ~/workspace 2022-12-01T10:07:58.5844832Z + git checkout 6ead5cae0d1234aa64db06fe230ef56e12ec76fe 2022-12-01T10:07:58.6209201Z Note: checking out '6ead5cae0d1234aa64db06fe230ef56e12ec76fe'. 2022-12-01T10:07:58.6209526Z 2022-12-01T10:07:58.6209887Z You are in 'detached HEAD' state. You can look around, make experimental 2022-12-01T10:07:58.6210460Z changes and commit them, and you can discard any commits you make in this 2022-12-01T10:07:58.6210977Z state without impacting any branches by performing another checkout. 2022-12-01T10:07:58.6211149Z 2022-12-01T10:07:58.6211272Z If you want to create a new branch to retain commits you create, you may 2022-12-01T10:07:58.6211715Z do so (now or later) by using -b with the checkout command again. Example: 2022-12-01T10:07:58.6211884Z 2022-12-01T10:07:58.6212025Z git checkout -b 2022-12-01T10:07:58.6212202Z 2022-12-01T10:07:58.6212374Z HEAD is now at 6ead5cae Add a upload_tar functionality for inductor debug trace (#1321) 2022-12-01T10:07:58.6214854Z + python setup.py develop 2022-12-01T10:07:59.7143060Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:07:59.7515354Z running develop 2022-12-01T10:07:59.7539286Z /opt/conda/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. 2022-12-01T10:07:59.7539702Z EasyInstallDeprecationWarning, 2022-12-01T10:07:59.7621052Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-12-01T10:07:59.7621484Z setuptools.SetuptoolsDeprecationWarning, 2022-12-01T10:07:59.8371315Z running egg_info 2022-12-01T10:07:59.8371615Z creating torchdynamo.egg-info 2022-12-01T10:07:59.8421256Z writing torchdynamo.egg-info/PKG-INFO 2022-12-01T10:07:59.8423668Z writing dependency_links to torchdynamo.egg-info/dependency_links.txt 2022-12-01T10:07:59.8425889Z writing requirements to torchdynamo.egg-info/requires.txt 2022-12-01T10:07:59.8426896Z writing top-level names to torchdynamo.egg-info/top_level.txt 2022-12-01T10:07:59.8428186Z writing manifest file 'torchdynamo.egg-info/SOURCES.txt' 2022-12-01T10:07:59.8561382Z reading manifest file 'torchdynamo.egg-info/SOURCES.txt' 2022-12-01T10:07:59.8562746Z adding license file 'LICENSE' 2022-12-01T10:07:59.8575985Z writing manifest file 'torchdynamo.egg-info/SOURCES.txt' 2022-12-01T10:07:59.8576605Z running build_ext 2022-12-01T10:07:59.8589947Z building 'torchdynamo._eval_frame' extension 2022-12-01T10:07:59.8590546Z creating build 2022-12-01T10:07:59.8591027Z creating build/temp.linux-x86_64-cpython-37 2022-12-01T10:07:59.8591617Z creating build/temp.linux-x86_64-cpython-37/torchdynamo 2022-12-01T10:07:59.8592749Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/include/python3.7m -c torchdynamo/_eval_frame.c -o build/temp.linux-x86_64-cpython-37/torchdynamo/_eval_frame.o -Wall 2022-12-01T10:08:00.0951315Z creating build/lib.linux-x86_64-cpython-37 2022-12-01T10:08:00.0951907Z creating build/lib.linux-x86_64-cpython-37/torchdynamo 2022-12-01T10:08:00.0953060Z gcc -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/torchdynamo/_eval_frame.o -o build/lib.linux-x86_64-cpython-37/torchdynamo/_eval_frame.cpython-37m-x86_64-linux-gnu.so 2022-12-01T10:08:00.1224834Z building 'torchdynamo._guards' extension 2022-12-01T10:08:00.1226543Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -I/opt/conda/include/python3.7m -c torchdynamo/_guards.cpp -o build/temp.linux-x86_64-cpython-37/torchdynamo/_guards.o -std=c++14 2022-12-01T10:08:01.1905704Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-12-01T10:08:01.1916634Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/torchdynamo/_guards.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torchdynamo/_guards.cpython-37m-x86_64-linux-gnu.so 2022-12-01T10:08:01.4323262Z copying build/lib.linux-x86_64-cpython-37/torchdynamo/_eval_frame.cpython-37m-x86_64-linux-gnu.so -> torchdynamo 2022-12-01T10:08:01.4324596Z copying build/lib.linux-x86_64-cpython-37/torchdynamo/_guards.cpython-37m-x86_64-linux-gnu.so -> torchdynamo 2022-12-01T10:08:01.4377903Z Creating /opt/conda/lib/python3.7/site-packages/torchdynamo.egg-link (link to .) 2022-12-01T10:08:01.4382180Z Adding torchdynamo 1.13.0.dev0 to easy-install.pth file 2022-12-01T10:08:01.4391329Z 2022-12-01T10:08:01.4391475Z Installed /var/lib/jenkins/torchdynamo 2022-12-01T10:08:01.4403906Z Processing dependencies for torchdynamo==1.13.0.dev0 2022-12-01T10:08:01.4435302Z Searching for tabulate 2022-12-01T10:08:01.4436629Z Reading https://pypi.org/simple/tabulate/ 2022-12-01T10:08:01.4638377Z /opt/conda/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release 2022-12-01T10:08:01.4638759Z PkgResourcesDeprecationWarning, 2022-12-01T10:08:01.4990132Z Downloading https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl#sha256=024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f 2022-12-01T10:08:01.5138922Z Best match: tabulate 0.9.0 2022-12-01T10:08:01.5139676Z Processing tabulate-0.9.0-py3-none-any.whl 2022-12-01T10:08:01.5183753Z Installing tabulate-0.9.0-py3-none-any.whl to /opt/conda/lib/python3.7/site-packages 2022-12-01T10:08:01.5448192Z Adding tabulate 0.9.0 to easy-install.pth file 2022-12-01T10:08:01.5460344Z Installing tabulate script to /opt/conda/bin 2022-12-01T10:08:01.5461731Z 2022-12-01T10:08:01.5462011Z Installed /opt/conda/lib/python3.7/site-packages/tabulate-0.9.0-py3.7.egg 2022-12-01T10:08:01.5543234Z Searching for sympy==1.10.1 2022-12-01T10:08:01.5543725Z Best match: sympy 1.10.1 2022-12-01T10:08:01.5545472Z Adding sympy 1.10.1 to easy-install.pth file 2022-12-01T10:08:01.5547545Z Installing isympy script to /opt/conda/bin 2022-12-01T10:08:01.5549450Z 2022-12-01T10:08:01.5549821Z Using /opt/conda/lib/python3.7/site-packages 2022-12-01T10:08:01.5556331Z Searching for PyYAML==6.0 2022-12-01T10:08:01.5556714Z Best match: PyYAML 6.0 2022-12-01T10:08:01.5557259Z Adding PyYAML 6.0 to easy-install.pth file 2022-12-01T10:08:01.5558743Z 2022-12-01T10:08:01.5559021Z Using /opt/conda/lib/python3.7/site-packages 2022-12-01T10:08:01.5569869Z Searching for numpy==1.18.5 2022-12-01T10:08:01.5570417Z Best match: numpy 1.18.5 2022-12-01T10:08:01.5571133Z Adding numpy 1.18.5 to easy-install.pth file 2022-12-01T10:08:01.5574062Z Installing f2py script to /opt/conda/bin 2022-12-01T10:08:01.5576145Z Installing f2py3 script to /opt/conda/bin 2022-12-01T10:08:01.5577530Z Installing f2py3.7 script to /opt/conda/bin 2022-12-01T10:08:01.5578733Z 2022-12-01T10:08:01.5578997Z Using /opt/conda/lib/python3.7/site-packages 2022-12-01T10:08:01.5594348Z Searching for torch==1.13.0a0+gitc13d400 2022-12-01T10:08:01.5595234Z Best match: torch 1.13.0a0+gitc13d400 2022-12-01T10:08:01.5595811Z Adding torch 1.13.0a0+gitc13d400 to easy-install.pth file 2022-12-01T10:08:01.5598849Z Installing convert-caffe2-to-onnx script to /opt/conda/bin 2022-12-01T10:08:01.5600533Z Installing convert-onnx-to-caffe2 script to /opt/conda/bin 2022-12-01T10:08:01.5601801Z Installing torchrun script to /opt/conda/bin 2022-12-01T10:08:01.5603340Z 2022-12-01T10:08:01.5603695Z Using /opt/conda/lib/python3.7/site-packages 2022-12-01T10:08:01.5608883Z Searching for mpmath==1.2.1 2022-12-01T10:08:01.5609860Z Best match: mpmath 1.2.1 2022-12-01T10:08:01.5610299Z Adding mpmath 1.2.1 to easy-install.pth file 2022-12-01T10:08:01.5612397Z 2022-12-01T10:08:01.5612788Z Using /opt/conda/lib/python3.7/site-packages 2022-12-01T10:08:01.5618149Z Searching for typing-extensions==4.3.0 2022-12-01T10:08:01.5618970Z Best match: typing-extensions 4.3.0 2022-12-01T10:08:01.5619539Z Adding typing-extensions 4.3.0 to easy-install.pth file 2022-12-01T10:08:01.5620947Z 2022-12-01T10:08:01.5621436Z Using /opt/conda/lib/python3.7/site-packages 2022-12-01T10:08:01.5622037Z Finished processing dependencies for torchdynamo==1.13.0.dev0 2022-12-01T10:08:01.7709867Z 2022-12-01T10:08:01.7710678Z real 0m3.149s 2022-12-01T10:08:01.7711061Z user 0m1.856s 2022-12-01T10:08:01.7711369Z sys 0m0.592s 2022-12-01T10:08:01.7711561Z + popd 2022-12-01T10:08:01.7711718Z ~ ~/workspace 2022-12-01T10:08:01.7711876Z + popd 2022-12-01T10:08:01.7712019Z ~/workspace 2022-12-01T10:08:01.7712188Z + test_dynamo_shard 2 2022-12-01T10:08:01.7712490Z + [[ -z 2 ]] 2022-12-01T10:08:01.7713308Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude test_autograd test_proxy_tensor test_quantization test_public_bindings test_dataloader test_reductions test_namedtensor test_namedtuple_return_api profiler/test_profiler profiler/test_profiler_tree test_overrides test_python_dispatch test_fx test_package test_vmap --shard 2 2 --verbose 2022-12-01T10:08:02.8567251Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:08:03.8540499Z Ignoring disabled issues: [] 2022-12-01T10:08:03.9558489Z Found test time stats from artifacts 2022-12-01T10:08:03.9569872Z Selected tests: 2022-12-01T10:08:03.9570109Z test_ops_jit 2022-12-01T10:08:03.9570439Z test_meta 2022-12-01T10:08:03.9570759Z test_ops_gradients 2022-12-01T10:08:03.9571052Z test_nn 2022-12-01T10:08:03.9571268Z test_jit 2022-12-01T10:08:03.9571436Z test_foreach 2022-12-01T10:08:03.9571599Z test_linalg 2022-12-01T10:08:03.9571749Z test_torch 2022-12-01T10:08:03.9571918Z test_binary_ufuncs 2022-12-01T10:08:03.9572117Z distributions/test_distributions 2022-12-01T10:08:03.9572301Z test_mkldnn_fusion 2022-12-01T10:08:03.9572477Z test_tensorexpr 2022-12-01T10:08:03.9572643Z test_sparse 2022-12-01T10:08:03.9572801Z test_serialization 2022-12-01T10:08:03.9572987Z test_ao_sparsity 2022-12-01T10:08:03.9573154Z test_testing 2022-12-01T10:08:03.9573309Z test_tensorboard 2022-12-01T10:08:03.9573562Z nn/test_embedding 2022-12-01T10:08:03.9573734Z test_masked 2022-12-01T10:08:03.9573889Z test_jit_autocast 2022-12-01T10:08:03.9574069Z test_sort_and_select 2022-12-01T10:08:03.9574262Z test_xnnpack_integration 2022-12-01T10:08:03.9574442Z lazy/test_ts_opinfo 2022-12-01T10:08:03.9574628Z test_multiprocessing 2022-12-01T10:08:03.9574810Z test_transformers 2022-12-01T10:08:03.9574969Z test_mkl_verbose 2022-12-01T10:08:03.9575136Z test_utils 2022-12-01T10:08:03.9575305Z test_maskedtensor 2022-12-01T10:08:03.9575462Z test_import_stats 2022-12-01T10:08:03.9575634Z test_shape_ops 2022-12-01T10:08:03.9575805Z test_nestedtensor 2022-12-01T10:08:03.9576037Z test_datapipe 2022-12-01T10:08:03.9576294Z backends/xeon/test_launch 2022-12-01T10:08:03.9576528Z nn/test_dropout 2022-12-01T10:08:03.9576685Z test_native_mha 2022-12-01T10:08:03.9576862Z lazy/test_reuse_ir 2022-12-01T10:08:03.9577035Z test_model_dump 2022-12-01T10:08:03.9577230Z test_native_functions 2022-12-01T10:08:03.9577424Z test_fake_tensor 2022-12-01T10:08:03.9577664Z test_functional_optim 2022-12-01T10:08:03.9577929Z benchmark_utils/test_benchmark_utils 2022-12-01T10:08:03.9578283Z test_per_overload_api 2022-12-01T10:08:03.9578503Z test_jit_disabled 2022-12-01T10:08:03.9578816Z test_prims 2022-12-01T10:08:03.9579037Z test_type_info 2022-12-01T10:08:03.9579226Z test_itt 2022-12-01T10:08:03.9579451Z test_numpy_interop 2022-12-01T10:08:03.9579708Z test_jit_cuda_fuser 2022-12-01T10:08:03.9579918Z test_cpp_extensions_aot_no_ninja 2022-12-01T10:08:03.9580181Z test_functionalization 2022-12-01T10:08:03.9580425Z lazy/test_bindings 2022-12-01T10:08:03.9580638Z lazy/test_meta_kernel 2022-12-01T10:08:03.9580879Z test_cuda 2022-12-01T10:08:03.9581097Z test_cuda_sanitizer 2022-12-01T10:08:03.9581292Z test_deploy 2022-12-01T10:08:03.9581516Z test_jiterator 2022-12-01T10:08:03.9581789Z doctests 2022-12-01T10:08:04.2816195Z Prioritized test from test file changes. 2022-12-01T10:08:04.2816786Z reordering tests for PR: 2022-12-01T10:08:04.2818269Z prioritized: ['test_ops_jit', 'test_meta', 'test_ops_gradients', 'test_nn', 'test_jit', 'test_foreach', 'test_linalg', 'test_torch', 'test_binary_ufuncs', 'distributions/test_distributions', 'test_mkldnn_fusion', 'test_tensorexpr', 'test_sparse', 'test_serialization', 'test_testing', 'nn/test_embedding', 'test_jit_autocast', 'test_xnnpack_integration', 'lazy/test_ts_opinfo', 'test_transformers', 'test_utils', 'test_shape_ops', 'test_nestedtensor', 'test_datapipe', 'nn/test_dropout', 'test_native_mha', 'lazy/test_reuse_ir', 'test_native_functions', 'test_fake_tensor', 'test_functional_optim', 'test_prims', 'test_jit_cuda_fuser', 'test_functionalization', 'test_cuda'] 2022-12-01T10:08:04.2820070Z the rest: ['test_ao_sparsity', 'test_tensorboard', 'test_masked', 'test_sort_and_select', 'test_multiprocessing', 'test_mkl_verbose', 'test_maskedtensor', 'test_import_stats', 'backends/xeon/test_launch', 'test_model_dump', 'benchmark_utils/test_benchmark_utils', 'test_per_overload_api', 'test_jit_disabled', 'test_type_info', 'test_itt', 'test_numpy_interop', 'test_cpp_extensions_aot_no_ninja', 'lazy/test_bindings', 'lazy/test_meta_kernel', 'test_cuda_sanitizer', 'test_deploy', 'test_jiterator', 'doctests'] 2022-12-01T10:08:04.2820648Z 2022-12-01T10:08:04.2821091Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2022-12-01T10:08:04.3006580Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2022-12-01T10:08:04.3166738Z parallel (file granularity) tests: 2022-12-01T10:08:04.3167361Z 2022-12-01T10:08:04.3167657Z serial (file granularity) tests: 2022-12-01T10:08:04.3168036Z test_ops_jit 2022-12-01T10:08:04.3168365Z test_meta 2022-12-01T10:08:04.3168617Z test_ops_gradients 2022-12-01T10:08:04.3169659Z test_nn 2022-12-01T10:08:04.3170075Z test_jit 2022-12-01T10:08:04.3170424Z test_foreach 2022-12-01T10:08:04.3170791Z test_linalg 2022-12-01T10:08:04.3171374Z test_torch 2022-12-01T10:08:04.3172615Z test_binary_ufuncs 2022-12-01T10:08:04.3173040Z distributions/test_distributions 2022-12-01T10:08:04.3173573Z test_mkldnn_fusion 2022-12-01T10:08:04.3173925Z test_tensorexpr 2022-12-01T10:08:04.3174302Z test_sparse 2022-12-01T10:08:04.3174689Z test_serialization 2022-12-01T10:08:04.3175024Z test_testing 2022-12-01T10:08:04.3175446Z nn/test_embedding 2022-12-01T10:08:04.3175831Z test_jit_autocast 2022-12-01T10:08:04.3176194Z test_xnnpack_integration 2022-12-01T10:08:04.3176533Z lazy/test_ts_opinfo 2022-12-01T10:08:04.3176764Z test_transformers 2022-12-01T10:08:04.3177299Z test_utils 2022-12-01T10:08:04.3177566Z test_shape_ops 2022-12-01T10:08:04.3177824Z test_nestedtensor 2022-12-01T10:08:04.3178030Z test_datapipe 2022-12-01T10:08:04.3178256Z nn/test_dropout 2022-12-01T10:08:04.3178502Z test_native_mha 2022-12-01T10:08:04.3178686Z lazy/test_reuse_ir 2022-12-01T10:08:04.3178930Z test_native_functions 2022-12-01T10:08:04.3179152Z test_fake_tensor 2022-12-01T10:08:04.3222528Z test_functional_optim 2022-12-01T10:08:04.3223035Z test_prims 2022-12-01T10:08:04.3223261Z test_jit_cuda_fuser 2022-12-01T10:08:04.3223544Z test_functionalization 2022-12-01T10:08:04.3223852Z test_cuda 2022-12-01T10:08:04.3224202Z test_ao_sparsity 2022-12-01T10:08:04.3224411Z test_tensorboard 2022-12-01T10:08:04.3224644Z test_masked 2022-12-01T10:08:04.3224919Z test_sort_and_select 2022-12-01T10:08:04.3225212Z test_multiprocessing 2022-12-01T10:08:04.3225616Z test_mkl_verbose 2022-12-01T10:08:04.3225937Z test_maskedtensor 2022-12-01T10:08:04.3226273Z test_import_stats 2022-12-01T10:08:04.3226580Z backends/xeon/test_launch 2022-12-01T10:08:04.3226769Z test_model_dump 2022-12-01T10:08:04.3227056Z benchmark_utils/test_benchmark_utils 2022-12-01T10:08:04.3227251Z test_per_overload_api 2022-12-01T10:08:04.3227419Z test_jit_disabled 2022-12-01T10:08:04.3227576Z test_type_info 2022-12-01T10:08:04.3227720Z test_itt 2022-12-01T10:08:04.3227866Z test_numpy_interop 2022-12-01T10:08:04.3228043Z test_cpp_extensions_aot_no_ninja 2022-12-01T10:08:04.3228214Z lazy/test_bindings 2022-12-01T10:08:04.3228373Z lazy/test_meta_kernel 2022-12-01T10:08:04.3228535Z test_cuda_sanitizer 2022-12-01T10:08:04.3228684Z test_deploy 2022-12-01T10:08:04.3228832Z test_jiterator 2022-12-01T10:08:04.3228977Z doctests 2022-12-01T10:08:05.4576242Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:08:05.4655703Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:08:05.8452726Z Ignoring disabled issues: [] 2022-12-01T10:08:05.8499553Z Ignoring disabled issues: [] 2022-12-01T10:08:06.1586845Z Running test_ops_jit ... [2022-12-01 10:08:06.158283] 2022-12-01T10:08:07.2614407Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:08:07.2966106Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:08:07.6498392Z Ignoring disabled issues: [] 2022-12-01T10:08:07.6629236Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-x', '--reruns=2', '-rfEX', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:08:07.662622] 2022-12-01T10:08:07.6830713Z Ignoring disabled issues: [] 2022-12-01T10:08:07.6962091Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-x', '--reruns=2', '-rfEX', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:08:07.695932] 2022-12-01T10:14:33.6314848Z 2022-12-01T10:14:33.6315326Z Expand the folded group to see the log file of test_ops_jit 2022-12-01T10:14:33.6335592Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_uigteu7g) 2022-12-01T10:14:33.6336363Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-84065da233ff026d.xml 2022-12-01T10:14:33.6336705Z ============================= test session starts ============================== 2022-12-01T10:14:33.6337117Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python 2022-12-01T10:14:33.6337429Z cachedir: .pytest_cache 2022-12-01T10:14:33.6338065Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-12-01T10:14:33.6338424Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-12-01T10:14:33.6338881Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T10:14:33.6339450Z collecting ... collected 1018 items / 3 deselected / 1015 selected 2022-12-01T10:14:33.6386860Z Running 476 items in this shard: test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_abs_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asinh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_cat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_digamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_floor_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_no_rounding_mode_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_gt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_le_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_householder_product_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_inv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_matrix_power_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log1p_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logsumexp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mH_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_max_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ne_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_neg_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_transpose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_trunc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_vstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_aminmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_any_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argsort_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argwhere_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asin_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asinh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_2d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_baddbmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bernoulli_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_block_diag_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_shapes_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cartesian_prod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdist_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chalf_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_min_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_column_stack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_combinations_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_physical_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_constant_pad_nd_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cos_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cosh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_count_nonzero_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cross_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cross_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cummin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumprod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumsum_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumsum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumulative_trapezoid_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumulative_trapezoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_deg2rad_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagflat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diff_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dist_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_floor_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_no_rounding_mode_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_no_rounding_mode_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_double_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dsplit_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dstack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_einsum_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eq_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_equal_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_equal_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_erf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftn_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftn_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftshift_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfftn_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfftn_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftshift_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftshift_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ihfft_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft2_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfftn_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fill_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fill_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flatten_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fliplr_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fliplr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flipud_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_float_cpu_complex64, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_gradient_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_heaviside_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_histogram_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_hsplit_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_hsplit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_igammac_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_fill_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_fill_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_put_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_put_cpu_float32, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_kron_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_kthvalue_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lerp_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lerp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lgamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cond_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cond_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_det_singular_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eig_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eigvalsh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_householder_product_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_householder_product_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_inv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_factor_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_factor_ex_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_factor_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_factor_ex_cpu_float32, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_outer_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_permute_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_permute_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_4_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_positive_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_positive_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pow_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_prod_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_qr_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_qr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rad2deg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rand_like_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rand_like_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_like_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ravel_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_real_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reciprocal_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_remainder_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_renorm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_interleave_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_interleave_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize_as__cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize_as__cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_conj_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_neg_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_neg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_roll_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rot90_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_decimals_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsqrt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsub_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_sum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_searchsorted_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_select_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sgn_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sgn_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_short_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sign_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_slice_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sparse_sampled_addmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sparse_sampled_addmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_j0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_j1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_y1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_hermite_polynomial_h_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i0e_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i1e_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_legendre_polynomial_p_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_log_ndtr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_k0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_k1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_ndtri_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_zeta_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sqrt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_square_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stft_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sub_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_symeig_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_topk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_consecutive_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_complex_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_xlogy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_complex64 2022-12-01T10:14:33.6460520Z 2022-12-01T10:14:33.6460706Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_abs_cpu_float32 PASSED [ 0%] 2022-12-01T10:14:33.6461053Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acosh_cpu_float32 PASSED [ 0%] 2022-12-01T10:14:33.6461389Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asinh_cpu_float32 PASSED [ 0%] 2022-12-01T10:14:33.6461707Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan_cpu_float32 PASSED [ 0%] 2022-12-01T10:14:33.6462040Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atanh_cpu_float32 PASSED [ 1%] 2022-12-01T10:14:33.6462365Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_cat_cpu_float32 XFAIL [ 1%] 2022-12-01T10:14:33.6462691Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_digamma_cpu_float32 PASSED [ 1%] 2022-12-01T10:14:33.6463216Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_floor_rounding_cpu_float32 PASSED [ 1%] 2022-12-01T10:14:33.6463581Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_no_rounding_mode_cpu_float32 PASSED [ 1%] 2022-12-01T10:14:33.6463928Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erf_cpu_float32 PASSED [ 2%] 2022-12-01T10:14:33.6464239Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfc_cpu_float32 PASSED [ 2%] 2022-12-01T10:14:33.6464563Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_gt_cpu_float32 PASSED [ 2%] 2022-12-01T10:14:33.6464883Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_le_cpu_float32 PASSED [ 2%] 2022-12-01T10:14:33.6465221Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_householder_product_cpu_float32 PASSED [ 2%] 2022-12-01T10:14:33.6465580Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_inv_cpu_float32 PASSED [ 3%] 2022-12-01T10:14:33.6465930Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_matrix_power_cpu_float32 PASSED [ 3%] 2022-12-01T10:14:33.6466272Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log1p_cpu_float32 PASSED [ 3%] 2022-12-01T10:14:33.6466593Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_cpu_float32 PASSED [ 3%] 2022-12-01T10:14:33.6466924Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logit_cpu_float32 PASSED [ 3%] 2022-12-01T10:14:33.6467256Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logsumexp_cpu_float32 PASSED [ 4%] 2022-12-01T10:14:33.6467591Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mH_cpu_float32 PASSED [ 4%] 2022-12-01T10:14:33.6467901Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_max_binary_cpu_float32 XFAIL [ 4%] 2022-12-01T10:14:33.6468230Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mul_cpu_float32 PASSED [ 4%] 2022-12-01T10:14:33.6468685Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [ 5%] 2022-12-01T10:14:33.6469017Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ne_cpu_float32 PASSED [ 5%] 2022-12-01T10:14:33.6469361Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv1d_cpu_float32 PASSED [ 5%] 2022-12-01T10:14:33.6469721Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv2d_cpu_float32 PASSED [ 5%] 2022-12-01T10:14:33.6470095Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose3d_cpu_float32 PASSED [ 5%] 2022-12-01T10:14:33.6470517Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_neg_3_cpu_float32 SKIPPED (Skipped!) [ 6%] 2022-12-01T10:14:33.6470877Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_cpu_float32 PASSED [ 6%] 2022-12-01T10:14:33.6471213Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_transpose_cpu_float32 PASSED [ 6%] 2022-12-01T10:14:33.6471535Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_trunc_cpu_float32 PASSED [ 6%] 2022-12-01T10:14:33.6471859Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_vstack_cpu_float32 XFAIL [ 6%] 2022-12-01T10:14:33.6472187Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_complex64 XFAIL [ 7%] 2022-12-01T10:14:33.6472529Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_complex64 PASSED [ 7%] 2022-12-01T10:14:33.6472867Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_float32 PASSED [ 7%] 2022-12-01T10:14:33.6473209Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_complex64 XFAIL [ 7%] 2022-12-01T10:14:33.6473555Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_complex64 XFAIL [ 7%] 2022-12-01T10:14:33.6473898Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_complex64 XFAIL [ 8%] 2022-12-01T10:14:33.6474220Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_float32 XFAIL [ 8%] 2022-12-01T10:14:33.6474551Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_float32 PASSED [ 8%] 2022-12-01T10:14:33.6474890Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_complex64 PASSED [ 8%] 2022-12-01T10:14:33.6475214Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_float32 PASSED [ 9%] 2022-12-01T10:14:33.6475548Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_float32 PASSED [ 9%] 2022-12-01T10:14:33.6475880Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_complex64 PASSED [ 9%] 2022-12-01T10:14:33.6476222Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_complex64 PASSED [ 9%] 2022-12-01T10:14:33.6476552Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_complex64 PASSED [ 9%] 2022-12-01T10:14:33.6476896Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_float32 PASSED [ 10%] 2022-12-01T10:14:33.6477238Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_complex64 PASSED [ 10%] 2022-12-01T10:14:33.6477556Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_float32 PASSED [ 10%] 2022-12-01T10:14:33.6477888Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_complex64 PASSED [ 10%] 2022-12-01T10:14:33.6478221Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amax_cpu_float32 PASSED [ 10%] 2022-12-01T10:14:33.6478932Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_aminmax_cpu_float32 [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-12-01T10:14:33.6479955Z [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-12-01T10:14:33.6480884Z [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-12-01T10:14:33.6481784Z [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-12-01T10:14:33.6482300Z PASSED [ 11%] 2022-12-01T10:14:33.6482567Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_any_cpu_complex64 PASSED [ 11%] 2022-12-01T10:14:33.6482910Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argsort_cpu_float32 SKIPPED (Skipped!) [ 11%] 2022-12-01T10:14:33.6483273Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argwhere_cpu_complex64 PASSED [ 11%] 2022-12-01T10:14:33.6483631Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_complex64 PASSED [ 11%] 2022-12-01T10:14:33.6483964Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_float32 PASSED [ 12%] 2022-12-01T10:14:33.6484369Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_complex64 SKIPPED (Passes on complex64 and float32 only) [ 12%] 2022-12-01T10:14:33.6484810Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_float32 SKIPPED (Passes on complex64 and float32 only) [ 12%] 2022-12-01T10:14:33.6485195Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asin_cpu_complex64 PASSED [ 12%] 2022-12-01T10:14:33.6485523Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asinh_cpu_complex64 PASSED [ 13%] 2022-12-01T10:14:33.6485864Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_complex64 PASSED [ 13%] 2022-12-01T10:14:33.6486201Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_float32 PASSED [ 13%] 2022-12-01T10:14:33.6486545Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_2d_cpu_complex64 PASSED [ 13%] 2022-12-01T10:14:33.6486882Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_complex64 PASSED [ 13%] 2022-12-01T10:14:33.6487377Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_float32 XFAIL [ 14%] 2022-12-01T10:14:33.6487721Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_baddbmm_cpu_complex64 PASSED [ 14%] 2022-12-01T10:14:33.6488048Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bernoulli_cpu_float32 XFAIL [ 14%] 2022-12-01T10:14:33.6488390Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_complex64 XFAIL [ 14%] 2022-12-01T10:14:33.6488728Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_float32 XFAIL [ 14%] 2022-12-01T10:14:33.6489077Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_block_diag_cpu_complex64 PASSED [ 15%] 2022-12-01T10:14:33.6489440Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_shapes_cpu_float32 SKIPPED (Skipped!) [ 15%] 2022-12-01T10:14:33.6489799Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_complex64 XFAIL [ 15%] 2022-12-01T10:14:33.6490132Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_float32 XFAIL [ 15%] 2022-12-01T10:14:33.6490534Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cartesian_prod_cpu_float32 XFAIL [ 15%] 2022-12-01T10:14:33.6490866Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cat_cpu_complex64 PASSED [ 16%] 2022-12-01T10:14:33.6491205Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdist_cpu_float32 PASSED [ 16%] 2022-12-01T10:14:33.6491544Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chalf_cpu_complex64 XFAIL [ 16%] 2022-12-01T10:14:33.6491865Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_complex64 XFAIL [ 16%] 2022-12-01T10:14:33.6492235Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_float32 XFAIL [ 17%] 2022-12-01T10:14:33.6492679Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_solve_cpu_float32 PASSED [ 17%] 2022-12-01T10:14:33.6493035Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_min_cpu_float32 PASSED [ 17%] 2022-12-01T10:14:33.6493365Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_complex64 PASSED [ 17%] 2022-12-01T10:14:33.6493703Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_float32 PASSED [ 17%] 2022-12-01T10:14:33.6494045Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_column_stack_cpu_float32 PASSED [ 18%] 2022-12-01T10:14:33.6494397Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_combinations_cpu_float32 PASSED [ 18%] 2022-12-01T10:14:33.6494727Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_cpu_float32 PASSED [ 18%] 2022-12-01T10:14:33.6495076Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_physical_cpu_complex64 PASSED [ 18%] 2022-12-01T10:14:33.6495437Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_constant_pad_nd_cpu_float32 PASSED [ 18%] 2022-12-01T10:14:33.6495769Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cos_cpu_complex64 PASSED [ 19%] 2022-12-01T10:14:33.6496110Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cosh_cpu_complex64 PASSED [ 19%] 2022-12-01T10:14:33.6496458Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_count_nonzero_cpu_complex64 PASSED [ 19%] 2022-12-01T10:14:33.6496805Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cross_cpu_complex64 PASSED [ 19%] 2022-12-01T10:14:33.6497128Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cross_cpu_float32 PASSED [ 19%] 2022-12-01T10:14:33.6497463Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cummin_cpu_float32 PASSED [ 20%] 2022-12-01T10:14:33.6497800Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumprod_cpu_float32 PASSED [ 20%] 2022-12-01T10:14:33.6498126Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumsum_cpu_complex64 PASSED [ 20%] 2022-12-01T10:14:33.6498465Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumsum_cpu_float32 PASSED [ 20%] 2022-12-01T10:14:33.6498821Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumulative_trapezoid_cpu_complex64 PASSED [ 21%] 2022-12-01T10:14:33.6499197Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumulative_trapezoid_cpu_float32 PASSED [ 21%] 2022-12-01T10:14:33.6499537Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_deg2rad_cpu_float32 PASSED [ 21%] 2022-12-01T10:14:33.6499880Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagflat_cpu_complex64 PASSED [ 21%] 2022-12-01T10:14:33.6500222Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_cpu_float32 PASSED [ 21%] 2022-12-01T10:14:33.6500562Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diff_cpu_complex64 PASSED [ 22%] 2022-12-01T10:14:33.6500887Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dist_cpu_float32 PASSED [ 22%] 2022-12-01T10:14:33.6501234Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_floor_rounding_cpu_float32 PASSED [ 22%] 2022-12-01T10:14:33.6501605Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_no_rounding_mode_cpu_complex64 PASSED [ 22%] 2022-12-01T10:14:33.6502000Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_no_rounding_mode_cpu_float32 PASSED [ 22%] 2022-12-01T10:14:33.6502351Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dot_cpu_complex64 PASSED [ 23%] 2022-12-01T10:14:33.6502690Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_double_cpu_complex64 XFAIL [ 23%] 2022-12-01T10:14:33.6503030Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dsplit_cpu_complex64 PASSED [ 23%] 2022-12-01T10:14:33.6503359Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dstack_cpu_complex64 PASSED [ 23%] 2022-12-01T10:14:33.6503743Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_einsum_cpu_complex64 SKIPPED (Skipped!) [ 23%] 2022-12-01T10:14:33.6504112Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_cpu_float32 SKIPPED (Skipped!) [ 24%] 2022-12-01T10:14:33.6504455Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eq_cpu_float32 PASSED [ 24%] 2022-12-01T10:14:33.6504781Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_equal_cpu_complex64 PASSED [ 24%] 2022-12-01T10:14:33.6505121Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_equal_cpu_float32 PASSED [ 24%] 2022-12-01T10:14:33.6505451Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_erf_cpu_float32 PASSED [ 25%] 2022-12-01T10:14:33.6505768Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp2_cpu_float32 PASSED [ 25%] 2022-12-01T10:14:33.6506103Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_cpu_complex64 PASSED [ 25%] 2022-12-01T10:14:33.6506442Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_cpu_float32 PASSED [ 25%] 2022-12-01T10:14:33.6506785Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft_cpu_complex64 PASSED [ 25%] 2022-12-01T10:14:33.6507112Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft_cpu_float32 PASSED [ 26%] 2022-12-01T10:14:33.6507454Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftn_cpu_complex64 PASSED [ 26%] 2022-12-01T10:14:33.6507797Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftn_cpu_float32 PASSED [ 26%] 2022-12-01T10:14:33.6508132Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftshift_cpu_complex64 PASSED [ 26%] 2022-12-01T10:14:33.6508486Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfftn_cpu_complex64 PASSED [ 26%] 2022-12-01T10:14:33.6508833Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfftn_cpu_float32 PASSED [ 27%] 2022-12-01T10:14:33.6509175Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft_cpu_complex64 PASSED [ 27%] 2022-12-01T10:14:33.6509505Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft_cpu_float32 PASSED [ 27%] 2022-12-01T10:14:33.6509855Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftshift_cpu_complex64 PASSED [ 27%] 2022-12-01T10:14:33.6510210Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftshift_cpu_float32 PASSED [ 27%] 2022-12-01T10:14:33.6510559Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ihfft_cpu_float32 PASSED [ 28%] 2022-12-01T10:14:33.6510891Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft2_cpu_complex64 PASSED [ 28%] 2022-12-01T10:14:33.6511234Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft2_cpu_float32 PASSED [ 28%] 2022-12-01T10:14:33.6511580Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfftn_cpu_complex64 PASSED [ 28%] 2022-12-01T10:14:33.6511908Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fill_cpu_complex64 XFAIL [ 28%] 2022-12-01T10:14:33.6512243Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fill_cpu_float32 XFAIL [ 29%] 2022-12-01T10:14:33.6512578Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flatten_cpu_float32 PASSED [ 29%] 2022-12-01T10:14:33.6512917Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fliplr_cpu_complex64 PASSED [ 29%] 2022-12-01T10:14:33.6513271Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fliplr_cpu_float32 PASSED [ 29%] 2022-12-01T10:14:33.6513611Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flipud_cpu_float32 PASSED [ 30%] 2022-12-01T10:14:33.6513941Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_float_cpu_complex64 XFAIL [ 30%] 2022-12-01T10:14:33.6514258Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_float_cpu_float32 XFAIL [ 30%] 2022-12-01T10:14:33.6514618Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_float_power_cpu_complex64 SKIPPED (Skipped!) [ 30%] 2022-12-01T10:14:33.6515021Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_float_power_cpu_float32 SKIPPED (Skipped!) [ 30%] 2022-12-01T10:14:33.6515372Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fmin_cpu_float32 PASSED [ 31%] 2022-12-01T10:14:33.6515688Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fmod_cpu_float32 PASSED [ 31%] 2022-12-01T10:14:33.6516023Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_frac_cpu_float32 PASSED [ 31%] 2022-12-01T10:14:33.6516356Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_frexp_cpu_float32 PASSED [ 31%] 2022-12-01T10:14:33.6516694Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_full_like_cpu_float32 PASSED [ 31%] 2022-12-01T10:14:33.6517021Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_geqrf_cpu_complex64 PASSED [ 32%] 2022-12-01T10:14:33.6517355Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_geqrf_cpu_float32 PASSED [ 32%] 2022-12-01T10:14:33.6517711Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_gradient_cpu_complex64 SKIPPED (Skipped!) [ 32%] 2022-12-01T10:14:33.6518071Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_gradient_cpu_float32 SKIPPED (Skipped!) [ 32%] 2022-12-01T10:14:33.6518429Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_heaviside_cpu_float32 PASSED [ 32%] 2022-12-01T10:14:33.6518771Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_histogram_cpu_float32 XFAIL [ 33%] 2022-12-01T10:14:33.6519114Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_hsplit_cpu_complex64 PASSED [ 33%] 2022-12-01T10:14:33.6519439Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_hsplit_cpu_float32 PASSED [ 33%] 2022-12-01T10:14:33.6519775Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_igammac_cpu_float32 PASSED [ 33%] 2022-12-01T10:14:33.6520117Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_copy_cpu_float32 PASSED [ 34%] 2022-12-01T10:14:33.6520465Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_fill_cpu_complex64 PASSED [ 34%] 2022-12-01T10:14:33.6520804Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_fill_cpu_float32 PASSED [ 34%] 2022-12-01T10:14:33.6521151Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_put_cpu_complex64 PASSED [ 34%] 2022-12-01T10:14:33.6521496Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_put_cpu_float32 PASSED [ 34%] 2022-12-01T10:14:33.6521833Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_select_cpu_float32 PASSED [ 35%] 2022-12-01T10:14:33.6522172Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_inner_cpu_complex64 PASSED [ 35%] 2022-12-01T10:14:33.6522505Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_int_cpu_complex64 XFAIL [ 35%] 2022-12-01T10:14:33.6522842Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isclose_cpu_float32 PASSED [ 35%] 2022-12-01T10:14:33.6523168Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isfinite_cpu_complex64 PASSED [ 35%] 2022-12-01T10:14:33.6523511Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isfinite_cpu_float32 PASSED [ 36%] 2022-12-01T10:14:33.6523848Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isinf_cpu_complex64 PASSED [ 36%] 2022-12-01T10:14:33.6524166Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isinf_cpu_float32 PASSED [ 36%] 2022-12-01T10:14:33.6524528Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isnan_cpu_complex64 PASSED [ 36%] 2022-12-01T10:14:33.6524917Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_istft_cpu_float32 SKIPPED (Skipped! istft does not match the native function) [ 36%] 2022-12-01T10:14:33.6525347Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_2inputs_2outputs_cpu_complex64 SKIPPED (Only runs on cuda) [ 37%] 2022-12-01T10:14:33.6525761Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED (Only runs on cuda) [ 37%] 2022-12-01T10:14:33.6526197Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_binary_cpu_float32 SKIPPED (Only runs on cuda) [ 37%] 2022-12-01T10:14:33.6526563Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_kron_cpu_complex64 PASSED [ 37%] 2022-12-01T10:14:33.6526904Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_kthvalue_cpu_float32 PASSED [ 38%] 2022-12-01T10:14:33.6527501Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lerp_cpu_complex64 PASSED [ 38%] 2022-12-01T10:14:33.6527843Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lerp_cpu_float32 PASSED [ 38%] 2022-12-01T10:14:33.6528178Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lgamma_cpu_float32 PASSED [ 38%] 2022-12-01T10:14:33.6528525Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cond_cpu_complex64 PASSED [ 38%] 2022-12-01T10:14:33.6528863Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cond_cpu_float32 PASSED [ 39%] 2022-12-01T10:14:33.6529225Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_det_singular_cpu_complex64 PASSED [ 39%] 2022-12-01T10:14:33.6529590Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eig_cpu_complex64 PASSED [ 39%] 2022-12-01T10:14:33.6529937Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eigvalsh_cpu_complex64 PASSED [ 39%] 2022-12-01T10:14:33.6530318Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_householder_product_cpu_complex64 PASSED [ 39%] 2022-12-01T10:14:33.6530711Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_householder_product_cpu_float32 PASSED [ 40%] 2022-12-01T10:14:33.6531077Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_inv_cpu_complex64 PASSED [ 40%] 2022-12-01T10:14:33.6531420Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_factor_cpu_float32 PASSED [ 40%] 2022-12-01T10:14:33.6531785Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_factor_ex_cpu_float32 PASSED [ 40%] 2022-12-01T10:14:33.6532143Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_solve_cpu_float32 PASSED [ 40%] 2022-12-01T10:14:33.6532587Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lstsq_grad_oriented_cpu_float32 XFAIL [ 41%] 2022-12-01T10:14:33.6532943Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_factor_cpu_complex64 PASSED [ 41%] 2022-12-01T10:14:33.6533311Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_factor_ex_cpu_float32 PASSED [ 41%] 2022-12-01T10:14:33.6533668Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_solve_cpu_float32 PASSED [ 41%] 2022-12-01T10:14:33.6534016Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_norm_cpu_complex64 PASSED [ 42%] 2022-12-01T10:14:33.6534379Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_norm_cpu_float32 PASSED [ 42%] 2022-12-01T10:14:33.6534756Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_rank_cpu_float32 SKIPPED (Skipped!) [ 42%] 2022-12-01T10:14:33.6535147Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_rank_hermitian_cpu_complex64 PASSED [ 42%] 2022-12-01T10:14:33.6535521Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_rank_hermitian_cpu_float32 PASSED [ 42%] 2022-12-01T10:14:33.6535892Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_multi_dot_cpu_complex64 PASSED [ 43%] 2022-12-01T10:14:33.6536314Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_norm_cpu_complex64 PASSED [ 43%] 2022-12-01T10:14:33.6536671Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_norm_cpu_float32 PASSED [ 43%] 2022-12-01T10:14:33.6537030Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_norm_subgradients_at_zero_cpu_complex64 PASSED [ 43%] 2022-12-01T10:14:33.6537403Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_pinv_cpu_float32 PASSED [ 43%] 2022-12-01T10:14:33.6537767Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_pinv_hermitian_cpu_complex64 PASSED [ 44%] 2022-12-01T10:14:33.6538191Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_pinv_hermitian_cpu_float32 PASSED [ 44%] 2022-12-01T10:14:33.6538619Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_pinv_singular_cpu_complex64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 44%] 2022-12-01T10:14:33.6539046Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_slogdet_cpu_complex64 PASSED [ 44%] 2022-12-01T10:14:33.6539404Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_slogdet_cpu_float32 PASSED [ 44%] 2022-12-01T10:14:33.6539760Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_cpu_complex64 PASSED [ 45%] 2022-12-01T10:14:33.6540100Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_ex_cpu_float32 PASSED [ 45%] 2022-12-01T10:14:33.6540470Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_triangular_cpu_complex64 PASSED [ 45%] 2022-12-01T10:14:33.6540849Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_triangular_cpu_float32 PASSED [ 45%] 2022-12-01T10:14:33.6541206Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_svdvals_cpu_complex64 PASSED [ 46%] 2022-12-01T10:14:33.6541647Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_tensorinv_cpu_complex64 PASSED [ 46%] 2022-12-01T10:14:33.6542018Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_tensorsolve_cpu_complex64 PASSED [ 46%] 2022-12-01T10:14:33.6542380Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vecdot_cpu_float32 PASSED [ 46%] 2022-12-01T10:14:33.6542770Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vector_norm_cpu_float32 PASSED [ 46%] 2022-12-01T10:14:33.6543120Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linspace_cpu_float32 XFAIL [ 47%] 2022-12-01T10:14:33.6543459Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log10_cpu_complex64 PASSED [ 47%] 2022-12-01T10:14:33.6543797Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log10_cpu_float32 PASSED [ 47%] 2022-12-01T10:14:33.6544115Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log1p_cpu_float32 PASSED [ 47%] 2022-12-01T10:14:33.6544448Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log2_cpu_float32 PASSED [ 47%] 2022-12-01T10:14:33.6544783Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log_cpu_complex64 PASSED [ 48%] 2022-12-01T10:14:33.6545102Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log_cpu_float32 PASSED [ 48%] 2022-12-01T10:14:33.6545441Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logdet_cpu_complex64 PASSED [ 48%] 2022-12-01T10:14:33.6545791Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_not_cpu_complex64 PASSED [ 48%] 2022-12-01T10:14:33.6546137Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logspace_cpu_float32 XFAIL [ 48%] 2022-12-01T10:14:33.6546467Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logsumexp_cpu_float32 PASSED [ 49%] 2022-12-01T10:14:33.6546804Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_long_cpu_float32 XFAIL [ 49%] 2022-12-01T10:14:33.6547134Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lu_cpu_complex64 XFAIL [ 49%] 2022-12-01T10:14:33.6547484Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lu_solve_cpu_complex64 PASSED [ 49%] 2022-12-01T10:14:33.6547873Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lu_unpack_cpu_complex64 PASSED [ 50%] 2022-12-01T10:14:33.6548210Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mT_cpu_complex64 XFAIL [ 50%] 2022-12-01T10:14:33.6548547Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_amin_cpu_float32 XFAIL [ 50%] 2022-12-01T10:14:33.6548879Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_argmax_cpu_float32 XFAIL [ 50%] 2022-12-01T10:14:33.6549224Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_argmin_cpu_float32 XFAIL [ 50%] 2022-12-01T10:14:33.6549623Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_cumprod_cpu_complex64 SKIPPED (Skipped!) [ 51%] 2022-12-01T10:14:33.6550014Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_cumsum_cpu_complex64 SKIPPED (Skipped!) [ 51%] 2022-12-01T10:14:33.6550384Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_cumsum_cpu_float32 SKIPPED (Skipped!) [ 51%] 2022-12-01T10:14:33.6550749Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_fill_cpu_float32 PASSED [ 51%] 2022-12-01T10:14:33.6551110Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_log_softmax_cpu_float32 XFAIL [ 51%] 2022-12-01T10:14:33.6551473Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_logsumexp_cpu_float32 SKIPPED (Skipped!) [ 52%] 2022-12-01T10:14:33.6551837Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_mean_cpu_float32 XFAIL [ 52%] 2022-12-01T10:14:33.6552330Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_norm_cpu_float32 XFAIL [ 52%] 2022-12-01T10:14:33.6552690Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_normalize_cpu_complex64 XFAIL [ 52%] 2022-12-01T10:14:33.6553037Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_normalize_cpu_float32 XFAIL [ 52%] 2022-12-01T10:14:33.6553405Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_scatter_cpu_complex64 PASSED [ 53%] 2022-12-01T10:14:33.6553763Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_scatter_cpu_float32 PASSED [ 53%] 2022-12-01T10:14:33.6554119Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_select_cpu_float32 PASSED [ 53%] 2022-12-01T10:14:33.6554456Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_softmax_cpu_float32 XFAIL [ 53%] 2022-12-01T10:14:33.6554804Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_std_cpu_float32 XFAIL [ 53%] 2022-12-01T10:14:33.6555145Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_sum_cpu_float32 XFAIL [ 54%] 2022-12-01T10:14:33.6555478Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_var_cpu_complex64 XFAIL [ 54%] 2022-12-01T10:14:33.6555826Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_max_binary_cpu_float32 PASSED [ 54%] 2022-12-01T10:14:33.6556187Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_max_reduction_with_dim_cpu_float32 PASSED [ 54%] 2022-12-01T10:14:33.6556566Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_meshgrid_list_of_tensors_cpu_complex64 PASSED [ 55%] 2022-12-01T10:14:33.6556934Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_meshgrid_list_of_tensors_cpu_float32 PASSED [ 55%] 2022-12-01T10:14:33.6557322Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_meshgrid_variadic_tensors_cpu_float32 SKIPPED (Skipped!) [ 55%] 2022-12-01T10:14:33.6557707Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_min_reduction_no_dim_cpu_float32 PASSED [ 55%] 2022-12-01T10:14:33.6558064Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_minimum_cpu_float32 PASSED [ 55%] 2022-12-01T10:14:33.6558388Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mode_cpu_float32 PASSED [ 56%] 2022-12-01T10:14:33.6558725Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_movedim_cpu_float32 PASSED [ 56%] 2022-12-01T10:14:33.6559109Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_msort_cpu_float32 PASSED [ 56%] 2022-12-01T10:14:33.6559432Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mul_cpu_complex64 PASSED [ 56%] 2022-12-01T10:14:33.6559764Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mul_cpu_float32 PASSED [ 56%] 2022-12-01T10:14:33.6560093Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mv_cpu_float32 PASSED [ 57%] 2022-12-01T10:14:33.6560427Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nan_to_num_cpu_float32 PASSED [ 57%] 2022-12-01T10:14:33.6560767Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nansum_cpu_float32 SKIPPED (Skipped!) [ 57%] 2022-12-01T10:14:33.6561158Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_narrow_copy_cpu_complex64 PASSED [ 57%] 2022-12-01T10:14:33.6561512Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_narrow_copy_cpu_float32 PASSED [ 57%] 2022-12-01T10:14:33.6561850Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_narrow_cpu_float32 PASSED [ 58%] 2022-12-01T10:14:33.6562171Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ne_cpu_float32 PASSED [ 58%] 2022-12-01T10:14:33.6562500Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_neg_cpu_float32 PASSED [ 58%] 2022-12-01T10:14:33.6562857Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_empty_cpu_complex64 SKIPPED (Skipped!) [ 58%] 2022-12-01T10:14:33.6563269Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_empty_strided_cpu_complex64 SKIPPED (Expected: new_empty_strided is not comparable) [ 59%] 2022-12-01T10:14:33.6563734Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_empty_strided_cpu_float32 SKIPPED (Expected: new_empty_strided is not comparable) [ 59%] 2022-12-01T10:14:33.6564130Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_full_cpu_float32 PASSED [ 59%] 2022-12-01T10:14:33.6564477Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_zeros_cpu_complex64 PASSED [ 59%] 2022-12-01T10:14:33.6564863Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional__scaled_dot_product_attention_cpu_float32 SKIPPED (Skipped!) [ 59%] 2022-12-01T10:14:33.6565274Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_avg_pool2d_cpu_float32 XFAIL [ 60%] 2022-12-01T10:14:33.6565662Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_avg_pool3d_cpu_float32 XFAIL [ 60%] 2022-12-01T10:14:33.6566050Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_max_pool2d_cpu_float32 XFAIL [ 60%] 2022-12-01T10:14:33.6566424Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_max_pool3d_cpu_float32 XFAIL [ 60%] 2022-12-01T10:14:33.6566805Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_avg_pool1d_cpu_float32 PASSED [ 60%] 2022-12-01T10:14:33.6567301Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_avg_pool2d_cpu_float32 PASSED [ 61%] 2022-12-01T10:14:33.6567673Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_avg_pool3d_cpu_float32 PASSED [ 61%] 2022-12-01T10:14:33.6568025Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_batch_norm_cpu_float32 PASSED [ 61%] 2022-12-01T10:14:33.6568427Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv2d_cpu_complex64 SKIPPED (Works on some configs!) [ 61%] 2022-12-01T10:14:33.6568843Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv_transpose3d_cpu_float32 SKIPPED (Skipped!) [ 61%] 2022-12-01T10:14:33.6569252Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_cosine_similarity_cpu_float32 PASSED [ 62%] 2022-12-01T10:14:33.6569634Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_cross_entropy_cpu_float32 PASSED [ 62%] 2022-12-01T10:14:33.6570011Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_dropout2d_cpu_float32 XFAIL [ 62%] 2022-12-01T10:14:33.6570444Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_dropout_cpu_float32 XFAIL [ 62%] 2022-12-01T10:14:33.6570811Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_elu_cpu_float32 PASSED [ 63%] 2022-12-01T10:14:33.6571166Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_embedding_cpu_float32 XFAIL [ 63%] 2022-12-01T10:14:33.6571562Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_feature_alpha_dropout_with_train_cpu_float32 XFAIL [ 63%] 2022-12-01T10:14:33.6572010Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_fractional_max_pool3d_cpu_float32 XFAIL [ 63%] 2022-12-01T10:14:33.6572405Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_gaussian_nll_loss_cpu_float32 SKIPPED (Skipped!) [ 63%] 2022-12-01T10:14:33.6572877Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_grid_sample_cpu_float32 PASSED [ 64%] 2022-12-01T10:14:33.6573252Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_group_norm_cpu_float32 XFAIL [ 64%] 2022-12-01T10:14:33.6573625Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_hardswish_cpu_float32 PASSED [ 64%] 2022-12-01T10:14:33.6573983Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_hardtanh_cpu_float32 PASSED [ 64%] 2022-12-01T10:14:33.6574373Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_huber_loss_cpu_float32 SKIPPED (Skipped!) [ 64%] 2022-12-01T10:14:33.6574762Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_instance_norm_cpu_float32 XFAIL [ 65%] 2022-12-01T10:14:33.6575148Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_area_cpu_float32 XFAIL [ 65%] 2022-12-01T10:14:33.6575527Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_bicubic_cpu_float32 XFAIL [ 65%] 2022-12-01T10:14:33.6575918Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_nearest_cpu_float32 XFAIL [ 65%] 2022-12-01T10:14:33.6576310Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_trilinear_cpu_float32 XFAIL [ 65%] 2022-12-01T10:14:33.6576689Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_l1_loss_cpu_float32 XFAIL [ 66%] 2022-12-01T10:14:33.6577043Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_layer_norm_cpu_float32 PASSED [ 66%] 2022-12-01T10:14:33.6577413Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_leaky_relu_cpu_float32 PASSED [ 66%] 2022-12-01T10:14:33.6577786Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_logsigmoid_cpu_float32 PASSED [ 66%] 2022-12-01T10:14:33.6578215Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_pool1d_cpu_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 67%] 2022-12-01T10:14:33.6578633Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool1d_cpu_float32 PASSED [ 67%] 2022-12-01T10:14:33.6579011Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool1d_grad_cpu_float32 PASSED [ 67%] 2022-12-01T10:14:33.6579395Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_multi_margin_loss_cpu_float32 PASSED [ 67%] 2022-12-01T10:14:33.6579786Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_multilabel_margin_loss_cpu_float32 PASSED [ 67%] 2022-12-01T10:14:33.6580157Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_normalize_cpu_complex64 PASSED [ 68%] 2022-12-01T10:14:33.6580539Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_circular_cpu_complex64 PASSED [ 68%] 2022-12-01T10:14:33.6580922Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_reflect_cpu_complex64 PASSED [ 68%] 2022-12-01T10:14:33.6581347Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_replicate_cpu_float32 SKIPPED (Skipped!) [ 68%] 2022-12-01T10:14:33.6581754Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pairwise_distance_cpu_float32 SKIPPED (Skipped!) [ 68%] 2022-12-01T10:14:33.6582141Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pdist_cpu_float32 PASSED [ 69%] 2022-12-01T10:14:33.6582524Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_shuffle_cpu_float32 SKIPPED (Skipped!) [ 69%] 2022-12-01T10:14:33.6582919Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_unshuffle_cpu_float32 SKIPPED (Skipped!) [ 69%] 2022-12-01T10:14:33.6583339Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_poisson_nll_loss_cpu_float32 PASSED [ 69%] 2022-12-01T10:14:33.6583715Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_prelu_cpu_float32 XFAIL [ 69%] 2022-12-01T10:14:33.6584082Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_relu6_cpu_float32 PASSED [ 70%] 2022-12-01T10:14:33.6584433Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_relu_cpu_float32 PASSED [ 70%] 2022-12-01T10:14:33.6584798Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_selu_cpu_float32 PASSED [ 70%] 2022-12-01T10:14:33.6585157Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_silu_cpu_float32 PASSED [ 70%] 2022-12-01T10:14:33.6585530Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_soft_margin_loss_cpu_float32 PASSED [ 71%] 2022-12-01T10:14:33.6585892Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softmin_cpu_float32 PASSED [ 71%] 2022-12-01T10:14:33.6586276Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softmin_with_dtype_cpu_float32 PASSED [ 71%] 2022-12-01T10:14:33.6586656Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softsign_cpu_complex64 PASSED [ 71%] 2022-12-01T10:14:33.6587038Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_threshold_cpu_float32 PASSED [ 71%] 2022-12-01T10:14:33.6587407Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_loss_cpu_complex64 PASSED [ 72%] 2022-12-01T10:14:33.6587802Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_loss_cpu_float32 PASSED [ 72%] 2022-12-01T10:14:33.6588207Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cpu_float32 XFAIL [ 72%] 2022-12-01T10:14:33.6588571Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nonzero_cpu_complex64 XFAIL [ 72%] 2022-12-01T10:14:33.6588911Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nonzero_cpu_float32 XFAIL [ 72%] 2022-12-01T10:14:33.6589248Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_cpu_complex64 PASSED [ 73%] 2022-12-01T10:14:33.6589585Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_cpu_float32 PASSED [ 73%] 2022-12-01T10:14:33.6589912Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_fro_cpu_complex64 XFAIL [ 73%] 2022-12-01T10:14:33.6590253Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_nuc_cpu_complex64 XFAIL [ 73%] 2022-12-01T10:14:33.6590593Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_nuc_cpu_float32 XFAIL [ 73%] 2022-12-01T10:14:33.6590940Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_normal_number_mean_cpu_float32 XFAIL [ 74%] 2022-12-01T10:14:33.6591286Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_cpu_float32 SKIPPED (Skipped!) [ 74%] 2022-12-01T10:14:33.6591646Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_like_cpu_complex64 PASSED [ 74%] 2022-12-01T10:14:33.6591989Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_like_cpu_float32 PASSED [ 74%] 2022-12-01T10:14:33.6592318Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ormqr_cpu_complex64 PASSED [ 75%] 2022-12-01T10:14:33.6592692Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_outer_cpu_complex64 PASSED [ 75%] 2022-12-01T10:14:33.6593038Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_permute_cpu_complex64 PASSED [ 75%] 2022-12-01T10:14:33.6593381Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_permute_cpu_float32 PASSED [ 75%] 2022-12-01T10:14:33.6593739Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_2_cpu_float32 SKIPPED (Skipped!) [ 75%] 2022-12-01T10:14:33.6594137Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_3_cpu_float32 SKIPPED (Skipped!) [ 76%] 2022-12-01T10:14:33.6594557Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_4_cpu_float32 SKIPPED (Skipped!) [ 76%] 2022-12-01T10:14:33.6594933Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_positive_cpu_complex64 PASSED [ 76%] 2022-12-01T10:14:33.6595271Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_positive_cpu_float32 PASSED [ 76%] 2022-12-01T10:14:33.6595607Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pow_cpu_complex64 PASSED [ 76%] 2022-12-01T10:14:33.6595947Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_prod_cpu_complex64 PASSED [ 77%] 2022-12-01T10:14:33.6596273Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_qr_cpu_complex64 PASSED [ 77%] 2022-12-01T10:14:33.6596605Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_qr_cpu_float32 PASSED [ 77%] 2022-12-01T10:14:33.6596936Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rad2deg_cpu_float32 PASSED [ 77%] 2022-12-01T10:14:33.6597278Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rand_like_cpu_complex64 XFAIL [ 77%] 2022-12-01T10:14:33.6597603Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rand_like_cpu_float32 XFAIL [ 78%] 2022-12-01T10:14:33.6597945Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_like_cpu_complex64 XFAIL [ 78%] 2022-12-01T10:14:33.6598291Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ravel_cpu_complex64 PASSED [ 78%] 2022-12-01T10:14:33.6598618Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_real_cpu_complex64 PASSED [ 78%] 2022-12-01T10:14:33.6598966Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reciprocal_cpu_complex64 PASSED [ 78%] 2022-12-01T10:14:33.6599314Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_remainder_cpu_float32 PASSED [ 79%] 2022-12-01T10:14:33.6599652Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_renorm_cpu_float32 PASSED [ 79%] 2022-12-01T10:14:33.6599982Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_cpu_complex64 PASSED [ 79%] 2022-12-01T10:14:33.6600320Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_cpu_float32 PASSED [ 79%] 2022-12-01T10:14:33.6600688Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_interleave_cpu_complex64 SKIPPED (Skipped!) [ 80%] 2022-12-01T10:14:33.6601082Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_interleave_cpu_float32 SKIPPED (Skipped!) [ 80%] 2022-12-01T10:14:33.6601435Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_cpu_float32 PASSED [ 80%] 2022-12-01T10:14:33.6601779Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize_as__cpu_complex64 PASSED [ 80%] 2022-12-01T10:14:33.6602125Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize_as__cpu_float32 PASSED [ 80%] 2022-12-01T10:14:33.6602458Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_conj_cpu_float32 PASSED [ 81%] 2022-12-01T10:14:33.6602810Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_neg_cpu_complex64 PASSED [ 81%] 2022-12-01T10:14:33.6603161Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_neg_cpu_float32 PASSED [ 81%] 2022-12-01T10:14:33.6603502Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_roll_cpu_complex64 PASSED [ 81%] 2022-12-01T10:14:33.6603857Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rot90_cpu_float32 PASSED [ 81%] 2022-12-01T10:14:33.6604208Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_decimals_0_cpu_float32 PASSED [ 82%] 2022-12-01T10:14:33.6604553Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsqrt_cpu_float32 PASSED [ 82%] 2022-12-01T10:14:33.6604886Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsub_cpu_float32 PASSED [ 82%] 2022-12-01T10:14:33.6605213Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_cpu_complex64 PASSED [ 82%] 2022-12-01T10:14:33.6605558Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_cpu_float32 PASSED [ 82%] 2022-12-01T10:14:33.6605939Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_sum_cpu_float32 PASSED [ 83%] 2022-12-01T10:14:33.6606310Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_searchsorted_cpu_float32 SKIPPED (Expected failure!) [ 83%] 2022-12-01T10:14:33.6606683Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_select_cpu_complex64 PASSED [ 83%] 2022-12-01T10:14:33.6607167Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sgn_cpu_complex64 PASSED [ 83%] 2022-12-01T10:14:33.6607509Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sgn_cpu_float32 PASSED [ 84%] 2022-12-01T10:14:33.6607832Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_short_cpu_complex64 XFAIL [ 84%] 2022-12-01T10:14:33.6608167Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sign_cpu_float32 PASSED [ 84%] 2022-12-01T10:14:33.6608502Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinh_cpu_float32 PASSED [ 84%] 2022-12-01T10:14:33.6609083Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_slice_cpu_complex64 SKIPPED (variant consistency doesn't work on torch.ops) [ 84%] 2022-12-01T10:14:33.6609494Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sparse_sampled_addmm_cpu_complex64 SKIPPED (Skipped!) [ 85%] 2022-12-01T10:14:33.6609894Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sparse_sampled_addmm_cpu_float32 SKIPPED (Skipped!) [ 85%] 2022-12-01T10:14:33.6610268Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_j0_cpu_float32 PASSED [ 85%] 2022-12-01T10:14:33.6610614Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_j1_cpu_float32 PASSED [ 85%] 2022-12-01T10:14:33.6610968Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_y1_cpu_float32 PASSED [ 85%] 2022-12-01T10:14:33.6611340Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_hermite_polynomial_h_cpu_float32 PASSED [ 86%] 2022-12-01T10:14:33.6611722Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i0e_cpu_float32 PASSED [ 86%] 2022-12-01T10:14:33.6612052Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i1e_cpu_float32 PASSED [ 86%] 2022-12-01T10:14:33.6612681Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_legendre_polynomial_p_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-12-01T10:14:33.6613121Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_log_ndtr_cpu_float32 PASSED [ 86%] 2022-12-01T10:14:33.6613491Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_k0_cpu_float32 PASSED [ 87%] 2022-12-01T10:14:33.6613861Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_k1_cpu_float32 PASSED [ 87%] 2022-12-01T10:14:33.6614223Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_ndtri_cpu_float32 PASSED [ 87%] 2022-12-01T10:14:33.6614609Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_polygamma_special_polygamma_n_0_cpu_float32 XFAIL [ 87%] 2022-12-01T10:14:33.6615009Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_scaled_modified_bessel_k0_cpu_float32 PASSED [ 88%] 2022-12-01T10:14:33.6615387Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_scaled_modified_bessel_k1_cpu_float32 PASSED [ 88%] 2022-12-01T10:14:33.6616044Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%] 2022-12-01T10:14:33.6616692Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%] 2022-12-01T10:14:33.6617127Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_zeta_cpu_float32 PASSED [ 88%] 2022-12-01T10:14:33.6617513Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_cpu_complex64 PASSED [ 89%] 2022-12-01T10:14:33.6617869Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_cpu_float32 PASSED [ 89%] 2022-12-01T10:14:33.6618211Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sqrt_cpu_float32 PASSED [ 89%] 2022-12-01T10:14:33.6618548Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_square_cpu_complex64 PASSED [ 89%] 2022-12-01T10:14:33.6618878Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stack_cpu_complex64 PASSED [ 89%] 2022-12-01T10:14:33.6619214Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_cpu_float32 PASSED [ 90%] 2022-12-01T10:14:33.6619603Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stft_cpu_float32 SKIPPED (Skipped! stft does not match the native function) [ 90%] 2022-12-01T10:14:33.6619970Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sub_cpu_complex64 PASSED [ 90%] 2022-12-01T10:14:33.6620321Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_complex64 PASSED [ 90%] 2022-12-01T10:14:33.6620667Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_float32 XFAIL [ 90%] 2022-12-01T10:14:33.6621004Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_cpu_float32 PASSED [ 91%] 2022-12-01T10:14:33.6621327Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_symeig_cpu_complex64 PASSED [ 91%] 2022-12-01T10:14:33.6621664Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_cpu_float32 PASSED [ 91%] 2022-12-01T10:14:33.6622011Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_complex64 PASSED [ 91%] 2022-12-01T10:14:33.6622366Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_float32 PASSED [ 92%] 2022-12-01T10:14:33.6622696Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_complex64 PASSED [ 92%] 2022-12-01T10:14:33.6623030Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_float32 PASSED [ 92%] 2022-12-01T10:14:33.6623365Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tan_cpu_float32 PASSED [ 92%] 2022-12-01T10:14:33.6623695Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_float32 PASSED [ 92%] 2022-12-01T10:14:33.6624047Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_complex64 PASSED [ 93%] 2022-12-01T10:14:33.6624401Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_float32 PASSED [ 93%] 2022-12-01T10:14:33.6624747Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_complex64 PASSED [ 93%] 2022-12-01T10:14:33.6625072Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_topk_cpu_float32 PASSED [ 93%] 2022-12-01T10:14:33.6625404Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_float32 PASSED [ 93%] 2022-12-01T10:14:33.6625744Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_complex64 PASSED [ 94%] 2022-12-01T10:14:33.6626078Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_float32 PASSED [ 94%] 2022-12-01T10:14:33.6626419Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_complex64 PASSED [ 94%] 2022-12-01T10:14:33.6626772Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_complex64 PASSED [ 94%] 2022-12-01T10:14:33.6627156Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_complex64 PASSED [ 94%] 2022-12-01T10:14:33.6627480Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_float32 PASSED [ 95%] 2022-12-01T10:14:33.6627827Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_complex64 PASSED [ 95%] 2022-12-01T10:14:33.6628176Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_float32 PASSED [ 95%] 2022-12-01T10:14:33.6628525Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_complex64 PASSED [ 95%] 2022-12-01T10:14:33.6628859Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_float32 PASSED [ 96%] 2022-12-01T10:14:33.6629222Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_float32 PASSED [ 96%] 2022-12-01T10:14:33.6629558Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_float32 XFAIL [ 96%] 2022-12-01T10:14:33.6629888Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_consecutive_cpu_float32 XFAIL [ 96%] 2022-12-01T10:14:33.6630249Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_complex64 PASSED [ 96%] 2022-12-01T10:14:33.6630590Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_complex64 PASSED [ 97%] 2022-12-01T10:14:33.6630922Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_float32 PASSED [ 97%] 2022-12-01T10:14:33.6631256Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_complex_cpu_float32 PASSED [ 97%] 2022-12-01T10:14:33.6631602Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_complex64 PASSED [ 97%] 2022-12-01T10:14:33.6631943Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_float32 PASSED [ 97%] 2022-12-01T10:14:33.6632264Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_complex64 PASSED [ 98%] 2022-12-01T10:14:33.6632594Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_float32 PASSED [ 98%] 2022-12-01T10:14:33.6632934Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_complex64 PASSED [ 98%] 2022-12-01T10:14:33.6633274Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_complex64 PASSED [ 98%] 2022-12-01T10:14:33.6633599Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_float32 PASSED [ 98%] 2022-12-01T10:14:33.6633946Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_float32 SKIPPED (Skipped!) [ 99%] 2022-12-01T10:14:33.6634290Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_xlogy_cpu_float32 PASSED [ 99%] 2022-12-01T10:14:33.6634645Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_complex64 SKIPPED (Skipped!) [ 99%] 2022-12-01T10:14:33.6634998Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_float32 SKIPPED (Skipped!) [ 99%] 2022-12-01T10:14:33.6635355Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_complex64 PASSED [100%] 2022-12-01T10:14:33.6635551Z 2022-12-01T10:14:33.6635874Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-84065da233ff026d.xml - 2022-12-01T10:14:33.6636244Z = 348 passed, 53 skipped, 3 deselected, 75 xfailed, 13 warnings in 380.19s (0:06:20) = 2022-12-01T10:14:33.6636561Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-12-01T10:14:33.6636753Z 2022-12-01T10:14:33.6637054Z ##[endgroup] 2022-12-01T10:14:33.6637423Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_uigteu7g) 2022-12-01T10:14:33.6637618Z 2022-12-01T10:16:00.6414072Z 2022-12-01T10:16:00.6414611Z Expand the folded group to see the log file of test_ops_jit 2022-12-01T10:16:00.6415501Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_88k7a9s6) 2022-12-01T10:16:00.6416807Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-2b2bc8c7af690a95.xml 2022-12-01T10:16:00.6417538Z ============================= test session starts ============================== 2022-12-01T10:16:00.6421621Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python 2022-12-01T10:16:00.6421995Z cachedir: .pytest_cache 2022-12-01T10:16:00.6422509Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-12-01T10:16:00.6423065Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-12-01T10:16:00.6423674Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T10:16:00.6424725Z collecting ... collected 1018 items / 1 deselected / 1017 selected 2022-12-01T10:16:00.6483336Z Running 538 items in this shard: test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_clamp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_diagonal_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_trunc_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfinv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_exp2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_expm1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ge_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_i0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igammac_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lgamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_singular_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matmul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matrix_exp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_min_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_movedim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_neg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_group_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_layer_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_outer_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sigmoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sinc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_with_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sub_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_tanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_xlogy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmod___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_angle_cpu_complex64, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_ex_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_svd_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_svd_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_svdvals_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_tensorinv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_tensorsolve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vander_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vander_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vecdot_cpu_complex64, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_mse_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_nll_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_normalize_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_circular_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_constant_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_constant_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_reflect_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_replicate_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pairwise_distance_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_rrelu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_silu_complex_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softplus_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softshrink_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softsign_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_tanhshrink_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_tanhshrink_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_unfold_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_unfold_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_upsample_bilinear_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_upsample_nearest_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_fro_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_inf_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_inf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_normal_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ormqr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_outer_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pca_lowrank_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pinverse_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pinverse_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polar_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pow_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_prod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_put_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_put_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_quantile_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randint_like_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_like_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ravel_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_real_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reciprocal_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_renorm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_as_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_as_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize__cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize__cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_conj_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_roll_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rot90_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_decimals_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_decimals_neg_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsqrt_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsub_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_add_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_add_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_amax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_amin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_prod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_segment_reduce_lengths_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_segment_reduce_offsets_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_select_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_select_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_short_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sigmoid_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sigmoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signbit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sin_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinc_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_slice_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_slice_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_softmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_softmax_with_dtype_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_softmax_with_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sort_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_airy_ai_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_y0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_t_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_u_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_v_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_w_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_entr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_erfcx_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_hermite_polynomial_he_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_laguerre_polynomial_l_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_i0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_i1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_ndtr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_spherical_bessel_j0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_xlog1py_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_list_args_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_list_args_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sqrt_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_square_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stft_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sub_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_lowrank_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_symeig_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tan_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tanh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trunc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_real_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_float32 2022-12-01T10:16:00.6535979Z 2022-12-01T10:16:00.6536172Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acos_cpu_float32 PASSED [ 0%] 2022-12-01T10:16:00.6536499Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asin_cpu_float32 PASSED [ 0%] 2022-12-01T10:16:00.6536824Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan2_cpu_float32 XFAIL [ 0%] 2022-12-01T10:16:00.6537273Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_clamp_cpu_float32 PASSED [ 0%] 2022-12-01T10:16:00.6537592Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_diagonal_cpu_float32 PASSED [ 0%] 2022-12-01T10:16:00.6537937Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_trunc_rounding_cpu_float32 PASSED [ 1%] 2022-12-01T10:16:00.6538279Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfinv_cpu_float32 PASSED [ 1%] 2022-12-01T10:16:00.6538605Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_exp2_cpu_float32 PASSED [ 1%] 2022-12-01T10:16:00.6538920Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_expm1_cpu_float32 PASSED [ 1%] 2022-12-01T10:16:00.6539291Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ge_cpu_float32 PASSED [ 1%] 2022-12-01T10:16:00.6539614Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_i0_cpu_float32 PASSED [ 2%] 2022-12-01T10:16:00.6539932Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igamma_cpu_float32 XFAIL [ 2%] 2022-12-01T10:16:00.6540245Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igammac_cpu_float32 XFAIL [ 2%] 2022-12-01T10:16:00.6540574Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lgamma_cpu_float32 PASSED [ 2%] 2022-12-01T10:16:00.6540902Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_cpu_float32 PASSED [ 2%] 2022-12-01T10:16:00.6541241Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_singular_cpu_float32 PASSED [ 2%] 2022-12-01T10:16:00.6541598Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_dtype_cpu_float32 PASSED [ 3%] 2022-12-01T10:16:00.6541934Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lt_cpu_float32 PASSED [ 3%] 2022-12-01T10:16:00.6542262Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matmul_cpu_float32 PASSED [ 3%] 2022-12-01T10:16:00.6542582Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matrix_exp_cpu_float32 PASSED [ 3%] 2022-12-01T10:16:00.6542915Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_min_binary_cpu_float32 XFAIL [ 3%] 2022-12-01T10:16:00.6543246Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_movedim_cpu_float32 PASSED [ 4%] 2022-12-01T10:16:00.6543579Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 4%] 2022-12-01T10:16:00.6543935Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [ 4%] 2022-12-01T10:16:00.6544272Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_neg_cpu_float32 PASSED [ 4%] 2022-12-01T10:16:00.6544625Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose1d_cpu_float32 PASSED [ 4%] 2022-12-01T10:16:00.6544994Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose2d_cpu_float32 PASSED [ 5%] 2022-12-01T10:16:00.6545364Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_group_norm_cpu_float32 PASSED [ 5%] 2022-12-01T10:16:00.6545731Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_layer_norm_cpu_float32 PASSED [ 5%] 2022-12-01T10:16:00.6546076Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_outer_cpu_float32 PASSED [ 5%] 2022-12-01T10:16:00.6546389Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_cpu_float32 PASSED [ 5%] 2022-12-01T10:16:00.6546724Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_0_cpu_float32 PASSED [ 5%] 2022-12-01T10:16:00.6547083Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_3_cpu_float32 SKIPPED (Skipped!) [ 6%] 2022-12-01T10:16:00.6547421Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sigmoid_cpu_float32 XFAIL [ 6%] 2022-12-01T10:16:00.6547744Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sinc_cpu_float32 PASSED [ 6%] 2022-12-01T10:16:00.6548084Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_with_dtype_cpu_float32 PASSED [ 6%] 2022-12-01T10:16:00.6548421Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sub_cpu_float32 PASSED [ 6%] 2022-12-01T10:16:00.6548767Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_tanh_cpu_float32 XFAIL [ 7%] 2022-12-01T10:16:00.6549087Z test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_xlogy_cpu_float32 PASSED [ 7%] 2022-12-01T10:16:00.6549415Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_complex64 XFAIL [ 7%] 2022-12-01T10:16:00.6549725Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_float32 XFAIL [ 7%] 2022-12-01T10:16:00.6550042Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_float32 XFAIL [ 7%] 2022-12-01T10:16:00.6550371Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_complex64 XFAIL [ 7%] 2022-12-01T10:16:00.6550732Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_float32 XFAIL [ 8%] 2022-12-01T10:16:00.6551054Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_float32 XFAIL [ 8%] 2022-12-01T10:16:00.6551387Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_float32 XFAIL [ 8%] 2022-12-01T10:16:00.6551728Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmod___cpu_float32 XFAIL [ 8%] 2022-12-01T10:16:00.6552059Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_complex64 XFAIL [ 8%] 2022-12-01T10:16:00.6552376Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_float32 XFAIL [ 9%] 2022-12-01T10:16:00.6552709Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_complex64 XFAIL [ 9%] 2022-12-01T10:16:00.6553042Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_float32 XFAIL [ 9%] 2022-12-01T10:16:00.6553362Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_complex64 PASSED [ 9%] 2022-12-01T10:16:00.6553697Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_complex64 PASSED [ 9%] 2022-12-01T10:16:00.6554032Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_float32 PASSED [ 10%] 2022-12-01T10:16:00.6554369Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_float32 PASSED [ 10%] 2022-12-01T10:16:00.6554689Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_float32 PASSED [ 10%] 2022-12-01T10:16:00.6555024Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_complex64 PASSED [ 10%] 2022-12-01T10:16:00.6555358Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_float32 PASSED [ 10%] 2022-12-01T10:16:00.6555694Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_complex64 PASSED [ 10%] 2022-12-01T10:16:00.6556056Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_float32 PASSED [ 11%] 2022-12-01T10:16:00.6556400Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_complex64 PASSED [ 11%] 2022-12-01T10:16:00.6556734Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_complex64 PASSED [ 11%] 2022-12-01T10:16:00.6557057Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_float32 PASSED [ 11%] 2022-12-01T10:16:00.6557384Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_float32 PASSED [ 11%] 2022-12-01T10:16:00.6557737Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_complex64 SKIPPED (Skipped!) [ 12%] 2022-12-01T10:16:00.6558107Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_float32 SKIPPED (Skipped!) [ 12%] 2022-12-01T10:16:00.6558442Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amin_cpu_float32 PASSED [ 12%] 2022-12-01T10:16:00.6558776Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_angle_cpu_complex64 PASSED [ 12%] 2022-12-01T10:16:00.6559112Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_angle_cpu_float32 PASSED [ 12%] 2022-12-01T10:16:00.6559432Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_any_cpu_float32 PASSED [ 13%] 2022-12-01T10:16:00.6559759Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_arange_cpu_float32 XFAIL [ 13%] 2022-12-01T10:16:00.6560135Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argmax_cpu_float32 PASSED [ 13%] 2022-12-01T10:16:00.6560471Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argmin_cpu_float32 PASSED [ 13%] 2022-12-01T10:16:00.6560795Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argwhere_cpu_float32 PASSED [ 13%] 2022-12-01T10:16:00.6561126Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asin_cpu_float32 PASSED [ 13%] 2022-12-01T10:16:00.6561456Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asinh_cpu_float32 PASSED [ 14%] 2022-12-01T10:16:00.6561810Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan2_cpu_float32 PASSED [ 14%] 2022-12-01T10:16:00.6562146Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan_cpu_complex64 PASSED [ 14%] 2022-12-01T10:16:00.6562479Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan_cpu_float32 PASSED [ 14%] 2022-12-01T10:16:00.6562825Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_1d_cpu_complex64 PASSED [ 14%] 2022-12-01T10:16:00.6563154Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_1d_cpu_float32 XFAIL [ 15%] 2022-12-01T10:16:00.6563486Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_2d_cpu_float32 XFAIL [ 15%] 2022-12-01T10:16:00.6563822Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_baddbmm_cpu_float32 PASSED [ 15%] 2022-12-01T10:16:00.6564159Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_block_diag_cpu_float32 XFAIL [ 15%] 2022-12-01T10:16:00.6564482Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bmm_cpu_complex64 PASSED [ 15%] 2022-12-01T10:16:00.6564816Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bmm_cpu_float32 PASSED [ 15%] 2022-12-01T10:16:00.6565144Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bool_cpu_complex64 XFAIL [ 16%] 2022-12-01T10:16:00.6565453Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bool_cpu_float32 XFAIL [ 16%] 2022-12-01T10:16:00.6565803Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_tensors_cpu_complex64 PASSED [ 16%] 2022-12-01T10:16:00.6566164Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_tensors_cpu_float32 XFAIL [ 16%] 2022-12-01T10:16:00.6566520Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_to_cpu_complex64 PASSED [ 16%] 2022-12-01T10:16:00.6566859Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_to_cpu_float32 PASSED [ 17%] 2022-12-01T10:16:00.6567399Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bucketize_cpu_float32 SKIPPED (Expected failure!) [ 17%] 2022-12-01T10:16:00.6567781Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cartesian_prod_cpu_complex64 PASSED [ 17%] 2022-12-01T10:16:00.6568126Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cat_cpu_float32 PASSED [ 17%] 2022-12-01T10:16:00.6568442Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ceil_cpu_float32 PASSED [ 17%] 2022-12-01T10:16:00.6568777Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chalf_cpu_float32 XFAIL [ 18%] 2022-12-01T10:16:00.6569119Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_cpu_complex64 PASSED [ 18%] 2022-12-01T10:16:00.6569447Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_cpu_float32 PASSED [ 18%] 2022-12-01T10:16:00.6569803Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_inverse_cpu_complex64 PASSED [ 18%] 2022-12-01T10:16:00.6570162Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_inverse_cpu_float32 PASSED [ 18%] 2022-12-01T10:16:00.6570520Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_solve_cpu_complex64 PASSED [ 18%] 2022-12-01T10:16:00.6570857Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chunk_cpu_complex64 PASSED [ 19%] 2022-12-01T10:16:00.6571194Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chunk_cpu_float32 PASSED [ 19%] 2022-12-01T10:16:00.6571595Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_cpu_float32 PASSED [ 19%] 2022-12-01T10:16:00.6571919Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_max_cpu_float32 PASSED [ 19%] 2022-12-01T10:16:00.6572267Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_column_stack_cpu_complex64 PASSED [ 19%] 2022-12-01T10:16:00.6572700Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_combinations_cpu_complex64 PASSED [ 20%] 2022-12-01T10:16:00.6573049Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_complex_cpu_float32 PASSED [ 20%] 2022-12-01T10:16:00.6573418Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_cpu_complex64 PASSED [ 20%] 2022-12-01T10:16:00.6573780Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_physical_cpu_float32 SKIPPED (Skipped!) [ 20%] 2022-12-01T10:16:00.6574149Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_constant_pad_nd_cpu_complex64 PASSED [ 20%] 2022-12-01T10:16:00.6574510Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_contiguous_cpu_complex64 PASSED [ 21%] 2022-12-01T10:16:00.6574847Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_contiguous_cpu_float32 PASSED [ 21%] 2022-12-01T10:16:00.6575190Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_copysign_cpu_float32 PASSED [ 21%] 2022-12-01T10:16:00.6575533Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_corrcoef_cpu_complex64 PASSED [ 21%] 2022-12-01T10:16:00.6575863Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_corrcoef_cpu_float32 PASSED [ 21%] 2022-12-01T10:16:00.6576196Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cos_cpu_float32 PASSED [ 21%] 2022-12-01T10:16:00.6576526Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cosh_cpu_float32 PASSED [ 22%] 2022-12-01T10:16:00.6576867Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_count_nonzero_cpu_float32 PASSED [ 22%] 2022-12-01T10:16:00.6577194Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cov_cpu_complex64 XFAIL [ 22%] 2022-12-01T10:16:00.6577523Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cov_cpu_float32 XFAIL [ 22%] 2022-12-01T10:16:00.6577855Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cummax_cpu_float32 PASSED [ 22%] 2022-12-01T10:16:00.6578180Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumprod_cpu_complex64 PASSED [ 23%] 2022-12-01T10:16:00.6578521Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_cpu_complex64 PASSED [ 23%] 2022-12-01T10:16:00.6578850Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_cpu_float32 PASSED [ 23%] 2022-12-01T10:16:00.6579195Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_embed_cpu_complex64 PASSED [ 23%] 2022-12-01T10:16:00.6579528Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_embed_cpu_float32 PASSED [ 23%] 2022-12-01T10:16:00.6579864Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagflat_cpu_float32 PASSED [ 23%] 2022-12-01T10:16:00.6580209Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_cpu_complex64 PASSED [ 24%] 2022-12-01T10:16:00.6580562Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_scatter_cpu_float32 PASSED [ 24%] 2022-12-01T10:16:00.6580892Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diff_cpu_float32 PASSED [ 24%] 2022-12-01T10:16:00.6581222Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_digamma_cpu_float32 PASSED [ 24%] 2022-12-01T10:16:00.6581558Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dist_cpu_complex64 PASSED [ 24%] 2022-12-01T10:16:00.6581894Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_trunc_rounding_cpu_float32 PASSED [ 25%] 2022-12-01T10:16:00.6582238Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dot_cpu_float32 PASSED [ 25%] 2022-12-01T10:16:00.6582565Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_double_cpu_float32 XFAIL [ 25%] 2022-12-01T10:16:00.6582932Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dsplit_cpu_float32 PASSED [ 25%] 2022-12-01T10:16:00.6583251Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dstack_cpu_float32 PASSED [ 25%] 2022-12-01T10:16:00.6583603Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_einsum_cpu_float32 SKIPPED (Skipped!) [ 26%] 2022-12-01T10:16:00.6583964Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_cpu_complex64 SKIPPED (Skipped!) [ 26%] 2022-12-01T10:16:00.6584334Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_like_cpu_complex64 SKIPPED (Skipped!) [ 26%] 2022-12-01T10:16:00.6584725Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_like_cpu_float32 SKIPPED (Skipped!) [ 26%] 2022-12-01T10:16:00.6585076Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eq_cpu_complex64 PASSED [ 26%] 2022-12-01T10:16:00.6585405Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_erfc_cpu_float32 PASSED [ 26%] 2022-12-01T10:16:00.6585724Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_erfinv_cpu_float32 PASSED [ 27%] 2022-12-01T10:16:00.6586056Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp_cpu_complex64 PASSED [ 27%] 2022-12-01T10:16:00.6586388Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp_cpu_float32 PASSED [ 27%] 2022-12-01T10:16:00.6586729Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_as_cpu_complex64 PASSED [ 27%] 2022-12-01T10:16:00.6587061Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_as_cpu_float32 PASSED [ 27%] 2022-12-01T10:16:00.6587392Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expm1_cpu_float32 PASSED [ 28%] 2022-12-01T10:16:00.6587727Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eye_cpu_complex64 XFAIL [ 28%] 2022-12-01T10:16:00.6588039Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eye_cpu_float32 XFAIL [ 28%] 2022-12-01T10:16:00.6588376Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft2_cpu_complex64 PASSED [ 28%] 2022-12-01T10:16:00.6588714Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft2_cpu_float32 PASSED [ 28%] 2022-12-01T10:16:00.6589058Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftshift_cpu_float32 PASSED [ 28%] 2022-12-01T10:16:00.6589393Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft2_cpu_complex64 PASSED [ 29%] 2022-12-01T10:16:00.6589731Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft2_cpu_float32 PASSED [ 29%] 2022-12-01T10:16:00.6590070Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft_cpu_complex64 PASSED [ 29%] 2022-12-01T10:16:00.6590414Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft_cpu_float32 PASSED [ 29%] 2022-12-01T10:16:00.6590741Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft2_cpu_complex64 PASSED [ 29%] 2022-12-01T10:16:00.6591081Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft2_cpu_float32 PASSED [ 30%] 2022-12-01T10:16:00.6591423Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftn_cpu_complex64 PASSED [ 30%] 2022-12-01T10:16:00.6591751Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftn_cpu_float32 PASSED [ 30%] 2022-12-01T10:16:00.6592094Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ihfft2_cpu_float32 PASSED [ 30%] 2022-12-01T10:16:00.6592427Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ihfftn_cpu_float32 PASSED [ 30%] 2022-12-01T10:16:00.6592772Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft_cpu_complex64 PASSED [ 31%] 2022-12-01T10:16:00.6593100Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft_cpu_float32 PASSED [ 31%] 2022-12-01T10:16:00.6593436Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfftn_cpu_float32 PASSED [ 31%] 2022-12-01T10:16:00.6593769Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_rfft2_cpu_float32 PASSED [ 31%] 2022-12-01T10:16:00.6594134Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_rfft_cpu_float32 PASSED [ 31%] 2022-12-01T10:16:00.6594455Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_rfftn_cpu_float32 PASSED [ 31%] 2022-12-01T10:16:00.6594789Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flatten_cpu_complex64 PASSED [ 32%] 2022-12-01T10:16:00.6595129Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flip_cpu_complex64 PASSED [ 32%] 2022-12-01T10:16:00.6595446Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flip_cpu_float32 PASSED [ 32%] 2022-12-01T10:16:00.6595779Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_flipud_cpu_complex64 PASSED [ 32%] 2022-12-01T10:16:00.6596146Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_floor_cpu_float32 PASSED [ 32%] 2022-12-01T10:16:00.6596499Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_floor_divide_cpu_float32 SKIPPED (Skipped!) [ 33%] 2022-12-01T10:16:00.6596837Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fmax_cpu_float32 PASSED [ 33%] 2022-12-01T10:16:00.6597174Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_full_like_cpu_complex64 PASSED [ 33%] 2022-12-01T10:16:00.6597515Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_gather_cpu_complex64 PASSED [ 33%] 2022-12-01T10:16:00.6597840Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_gather_cpu_float32 PASSED [ 33%] 2022-12-01T10:16:00.6598169Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ge_cpu_float32 PASSED [ 34%] 2022-12-01T10:16:00.6598491Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_gt_cpu_float32 PASSED [ 34%] 2022-12-01T10:16:00.6598815Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_half_cpu_complex64 XFAIL [ 34%] 2022-12-01T10:16:00.6599135Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_half_cpu_float32 XFAIL [ 34%] 2022-12-01T10:16:00.6599463Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_histc_cpu_float32 PASSED [ 34%] 2022-12-01T10:16:00.6599806Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_histogramdd_cpu_float32 XFAIL [ 34%] 2022-12-01T10:16:00.6600144Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_hstack_cpu_complex64 PASSED [ 35%] 2022-12-01T10:16:00.6600466Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_hstack_cpu_float32 PASSED [ 35%] 2022-12-01T10:16:00.6600794Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_hypot_cpu_float32 PASSED [ 35%] 2022-12-01T10:16:00.6601121Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_i0_cpu_float32 PASSED [ 35%] 2022-12-01T10:16:00.6601437Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_igamma_cpu_float32 PASSED [ 35%] 2022-12-01T10:16:00.6601773Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_imag_cpu_complex64 PASSED [ 36%] 2022-12-01T10:16:00.6602111Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_add_cpu_complex64 PASSED [ 36%] 2022-12-01T10:16:00.6602452Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_add_cpu_float32 PASSED [ 36%] 2022-12-01T10:16:00.6602785Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_copy_cpu_complex64 PASSED [ 36%] 2022-12-01T10:16:00.6603130Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_reduce_cpu_float32 PASSED [ 36%] 2022-12-01T10:16:00.6603481Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_index_select_cpu_complex64 PASSED [ 36%] 2022-12-01T10:16:00.6603807Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_inner_cpu_float32 PASSED [ 37%] 2022-12-01T10:16:00.6604132Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_int_cpu_float32 XFAIL [ 37%] 2022-12-01T10:16:00.6604463Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isclose_cpu_complex64 PASSED [ 37%] 2022-12-01T10:16:00.6604796Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isin_cpu_float32 PASSED [ 37%] 2022-12-01T10:16:00.6605116Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isnan_cpu_float32 PASSED [ 37%] 2022-12-01T10:16:00.6605482Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isneginf_cpu_float32 PASSED [ 38%] 2022-12-01T10:16:00.6605820Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isposinf_cpu_float32 PASSED [ 38%] 2022-12-01T10:16:00.6606154Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isreal_cpu_complex64 PASSED [ 38%] 2022-12-01T10:16:00.6606471Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_isreal_cpu_float32 PASSED [ 38%] 2022-12-01T10:16:00.6606868Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_istft_cpu_complex64 SKIPPED (Skipped! istft does not match the native function) [ 38%] 2022-12-01T10:16:00.6612018Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_2inputs_2outputs_cpu_float32 SKIPPED (Only runs on cuda) [ 39%] 2022-12-01T10:16:00.6612515Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_4inputs_with_extra_args_cpu_complex64 SKIPPED (Only runs on cuda) [ 39%] 2022-12-01T10:16:00.6612936Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_binary_cpu_complex64 SKIPPED (Only runs on cuda) [ 39%] 2022-12-01T10:16:00.6613357Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_binary_return_by_ref_cpu_complex64 SKIPPED (Only runs on cuda) [ 39%] 2022-12-01T10:16:00.6613775Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_binary_return_by_ref_cpu_float32 SKIPPED (Only runs on cuda) [ 39%] 2022-12-01T10:16:00.6614171Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_unary_cpu_complex64 SKIPPED (Only runs on cuda) [ 39%] 2022-12-01T10:16:00.6614569Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_jiterator_unary_cpu_float32 SKIPPED (Only runs on cuda) [ 40%] 2022-12-01T10:16:00.6614930Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_kron_cpu_float32 PASSED [ 40%] 2022-12-01T10:16:00.6615266Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ldexp_cpu_complex64 PASSED [ 40%] 2022-12-01T10:16:00.6615591Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ldexp_cpu_float32 PASSED [ 40%] 2022-12-01T10:16:00.6615924Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_le_cpu_float32 PASSED [ 40%] 2022-12-01T10:16:00.6616266Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cross_cpu_complex64 PASSED [ 41%] 2022-12-01T10:16:00.6616614Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cross_cpu_float32 PASSED [ 41%] 2022-12-01T10:16:00.6616943Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_det_cpu_complex64 PASSED [ 41%] 2022-12-01T10:16:00.6617286Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_det_cpu_float32 PASSED [ 41%] 2022-12-01T10:16:00.6617638Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_det_singular_cpu_float32 PASSED [ 41%] 2022-12-01T10:16:00.6617980Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eig_cpu_float32 PASSED [ 42%] 2022-12-01T10:16:00.6618329Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eigh_cpu_complex64 PASSED [ 42%] 2022-12-01T10:16:00.6618680Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eigh_cpu_float32 PASSED [ 42%] 2022-12-01T10:16:00.6619029Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eigvals_cpu_complex64 PASSED [ 42%] 2022-12-01T10:16:00.6619370Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eigvals_cpu_float32 PASSED [ 42%] 2022-12-01T10:16:00.6619719Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_eigvalsh_cpu_float32 PASSED [ 42%] 2022-12-01T10:16:00.6620064Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_inv_cpu_float32 PASSED [ 43%] 2022-12-01T10:16:00.6620416Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_inv_ex_cpu_complex64 PASSED [ 43%] 2022-12-01T10:16:00.6620750Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_inv_ex_cpu_float32 PASSED [ 43%] 2022-12-01T10:16:00.6621108Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_factor_cpu_complex64 PASSED [ 43%] 2022-12-01T10:16:00.6621528Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_factor_ex_cpu_complex64 PASSED [ 43%] 2022-12-01T10:16:00.6621880Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_ldl_solve_cpu_complex64 PASSED [ 44%] 2022-12-01T10:16:00.6622234Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lstsq_cpu_complex64 PASSED [ 44%] 2022-12-01T10:16:00.6622582Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lstsq_cpu_float32 PASSED [ 44%] 2022-12-01T10:16:00.6622950Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lstsq_grad_oriented_cpu_complex64 XFAIL [ 44%] 2022-12-01T10:16:00.6623334Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_cpu_complex64 PASSED [ 44%] 2022-12-01T10:16:00.6623677Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_cpu_float32 PASSED [ 44%] 2022-12-01T10:16:00.6624024Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_factor_cpu_float32 PASSED [ 45%] 2022-12-01T10:16:00.6624386Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_factor_ex_cpu_complex64 PASSED [ 45%] 2022-12-01T10:16:00.6624739Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_lu_solve_cpu_complex64 PASSED [ 45%] 2022-12-01T10:16:00.6625098Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_power_cpu_complex64 PASSED [ 45%] 2022-12-01T10:16:00.6625460Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_power_cpu_float32 PASSED [ 45%] 2022-12-01T10:16:00.6625841Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_matrix_rank_cpu_complex64 SKIPPED (Skipped!) [ 46%] 2022-12-01T10:16:00.6626202Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_multi_dot_cpu_float32 PASSED [ 46%] 2022-12-01T10:16:00.6626577Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_norm_subgradients_at_zero_cpu_float32 PASSED [ 46%] 2022-12-01T10:16:00.6626949Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_pinv_cpu_complex64 PASSED [ 46%] 2022-12-01T10:16:00.6627358Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_pinv_singular_cpu_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 46%] 2022-12-01T10:16:00.6627770Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_qr_cpu_complex64 PASSED [ 47%] 2022-12-01T10:16:00.6668774Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_qr_cpu_float32 PASSED [ 47%] 2022-12-01T10:16:00.6669228Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_cpu_float32 PASSED [ 47%] 2022-12-01T10:16:00.6669592Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_solve_ex_cpu_complex64 PASSED [ 47%] 2022-12-01T10:16:00.6669955Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_svd_cpu_complex64 PASSED [ 47%] 2022-12-01T10:16:00.6670303Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_svd_cpu_float32 PASSED [ 47%] 2022-12-01T10:16:00.6670650Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_svdvals_cpu_float32 PASSED [ 48%] 2022-12-01T10:16:00.6671006Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_tensorinv_cpu_float32 PASSED [ 48%] 2022-12-01T10:16:00.6671367Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_tensorsolve_cpu_float32 PASSED [ 48%] 2022-12-01T10:16:00.6671727Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vander_cpu_complex64 PASSED [ 48%] 2022-12-01T10:16:00.6672070Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vander_cpu_float32 PASSED [ 48%] 2022-12-01T10:16:00.6672429Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vecdot_cpu_complex64 PASSED [ 49%] 2022-12-01T10:16:00.6672790Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_vector_norm_cpu_complex64 PASSED [ 49%] 2022-12-01T10:16:00.6673145Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linspace_cpu_complex64 PASSED [ 49%] 2022-12-01T10:16:00.6673611Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log2_cpu_complex64 PASSED [ 49%] 2022-12-01T10:16:00.6673956Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log_softmax_cpu_float32 PASSED [ 49%] 2022-12-01T10:16:00.6674312Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log_softmax_dtype_cpu_complex64 PASSED [ 50%] 2022-12-01T10:16:00.6674664Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_log_softmax_dtype_cpu_float32 PASSED [ 50%] 2022-12-01T10:16:00.6675018Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logaddexp2_cpu_float32 PASSED [ 50%] 2022-12-01T10:16:00.6675412Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logaddexp_cpu_float32 PASSED [ 50%] 2022-12-01T10:16:00.6675766Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logcumsumexp_cpu_float32 PASSED [ 50%] 2022-12-01T10:16:00.6676101Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logdet_cpu_float32 PASSED [ 50%] 2022-12-01T10:16:00.6676449Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_and_cpu_complex64 PASSED [ 51%] 2022-12-01T10:16:00.6676794Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_and_cpu_float32 PASSED [ 51%] 2022-12-01T10:16:00.6677127Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_not_cpu_float32 PASSED [ 51%] 2022-12-01T10:16:00.6677475Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_or_cpu_complex64 PASSED [ 51%] 2022-12-01T10:16:00.6677818Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_or_cpu_float32 PASSED [ 51%] 2022-12-01T10:16:00.6678166Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_xor_cpu_complex64 PASSED [ 52%] 2022-12-01T10:16:00.6678505Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logical_xor_cpu_float32 PASSED [ 52%] 2022-12-01T10:16:00.6678838Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logit_cpu_float32 PASSED [ 52%] 2022-12-01T10:16:00.6679185Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_logspace_cpu_complex64 PASSED [ 52%] 2022-12-01T10:16:00.6679523Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_long_cpu_complex64 XFAIL [ 52%] 2022-12-01T10:16:00.6679842Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lt_cpu_float32 PASSED [ 52%] 2022-12-01T10:16:00.6680167Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lu_cpu_float32 XFAIL [ 53%] 2022-12-01T10:16:00.6680494Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lu_solve_cpu_float32 PASSED [ 53%] 2022-12-01T10:16:00.6680825Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_lu_unpack_cpu_float32 PASSED [ 53%] 2022-12-01T10:16:00.6681161Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mH_cpu_complex64 XFAIL [ 53%] 2022-12-01T10:16:00.6681487Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mH_cpu_float32 XFAIL [ 53%] 2022-12-01T10:16:00.6681802Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mT_cpu_float32 XFAIL [ 54%] 2022-12-01T10:16:00.6682138Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_amax_cpu_float32 SKIPPED (Skipped!) [ 54%] 2022-12-01T10:16:00.6682516Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_cumprod_cpu_float32 SKIPPED (Skipped!) [ 54%] 2022-12-01T10:16:00.6682883Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_fill_cpu_complex64 PASSED [ 54%] 2022-12-01T10:16:00.6683254Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_logaddexp_cpu_float32 SKIPPED (Skipped!) [ 54%] 2022-12-01T10:16:00.6683612Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_mean_cpu_complex64 XFAIL [ 55%] 2022-12-01T10:16:00.6683972Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_median_cpu_float32 SKIPPED (Skipped!) [ 55%] 2022-12-01T10:16:00.6684331Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_prod_cpu_complex64 XFAIL [ 55%] 2022-12-01T10:16:00.6684699Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_prod_cpu_float32 XFAIL [ 55%] 2022-12-01T10:16:00.6685051Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_select_cpu_complex64 PASSED [ 55%] 2022-12-01T10:16:00.6685405Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_softmin_cpu_float32 XFAIL [ 55%] 2022-12-01T10:16:00.6685748Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_std_cpu_complex64 XFAIL [ 56%] 2022-12-01T10:16:00.6686080Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_sum_cpu_complex64 XFAIL [ 56%] 2022-12-01T10:16:00.6686419Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_var_cpu_float32 XFAIL [ 56%] 2022-12-01T10:16:00.6686787Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_matmul_cpu_complex64 PASSED [ 56%] 2022-12-01T10:16:00.6687274Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_matmul_cpu_float32 PASSED [ 56%] 2022-12-01T10:16:00.6687598Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_matrix_exp_cpu_complex64 PASSED [ 57%] 2022-12-01T10:16:00.6687939Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_matrix_exp_cpu_float32 PASSED [ 57%] 2022-12-01T10:16:00.6688287Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_max_reduction_no_dim_cpu_float32 PASSED [ 57%] 2022-12-01T10:16:00.6688625Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_maximum_cpu_float32 PASSED [ 57%] 2022-12-01T10:16:00.6688961Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mean_cpu_complex64 PASSED [ 57%] 2022-12-01T10:16:00.6689298Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mean_cpu_float32 PASSED [ 57%] 2022-12-01T10:16:00.6689635Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_median_cpu_float32 PASSED [ 58%] 2022-12-01T10:16:00.6689999Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_meshgrid_variadic_tensors_cpu_complex64 SKIPPED (Skipped!) [ 58%] 2022-12-01T10:16:00.6690376Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_min_binary_cpu_float32 PASSED [ 58%] 2022-12-01T10:16:00.6690736Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_min_reduction_with_dim_cpu_float32 PASSED [ 58%] 2022-12-01T10:16:00.6691084Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mm_cpu_complex64 PASSED [ 58%] 2022-12-01T10:16:00.6691399Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mm_cpu_float32 PASSED [ 59%] 2022-12-01T10:16:00.6691733Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_movedim_cpu_complex64 PASSED [ 59%] 2022-12-01T10:16:00.6692073Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_multinomial_cpu_float32 XFAIL [ 59%] 2022-12-01T10:16:00.6692468Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mv_cpu_complex64 PASSED [ 59%] 2022-12-01T10:16:00.6692821Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 59%] 2022-12-01T10:16:00.6693186Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [ 60%] 2022-12-01T10:16:00.6693555Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [ 60%] 2022-12-01T10:16:00.6693909Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nanmean_cpu_float32 SKIPPED (Skipped!) [ 60%] 2022-12-01T10:16:00.6694261Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nanmedian_cpu_float32 PASSED [ 60%] 2022-12-01T10:16:00.6694608Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nanquantile_cpu_float32 PASSED [ 60%] 2022-12-01T10:16:00.6694938Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_narrow_cpu_complex64 PASSED [ 60%] 2022-12-01T10:16:00.6695286Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_native_batch_norm_cpu_float32 XFAIL [ 61%] 2022-12-01T10:16:00.6695639Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_native_layer_norm_cpu_float32 XFAIL [ 61%] 2022-12-01T10:16:00.6695981Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ne_cpu_complex64 PASSED [ 61%] 2022-12-01T10:16:00.6696363Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_neg_cpu_complex64 PASSED [ 61%] 2022-12-01T10:16:00.6696714Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_empty_cpu_float32 SKIPPED (Skipped!) [ 61%] 2022-12-01T10:16:00.6697068Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_full_cpu_complex64 PASSED [ 62%] 2022-12-01T10:16:00.6697414Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_ones_cpu_complex64 PASSED [ 62%] 2022-12-01T10:16:00.6697742Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_ones_cpu_float32 PASSED [ 62%] 2022-12-01T10:16:00.6698121Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_zeros_cpu_float32 PASSED [ 62%] 2022-12-01T10:16:00.6698465Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nextafter_cpu_float32 PASSED [ 62%] 2022-12-01T10:16:00.6698820Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_avg_pool1d_cpu_float32 PASSED [ 63%] 2022-12-01T10:16:00.6699214Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_max_pool1d_cpu_float32 PASSED [ 63%] 2022-12-01T10:16:00.6699593Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_bilinear_cpu_float32 PASSED [ 63%] 2022-12-01T10:16:00.6699972Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_binary_cross_entropy_cpu_float32 XFAIL [ 63%] 2022-12-01T10:16:00.6700375Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_binary_cross_entropy_with_logits_cpu_float32 SKIPPED (Skipped!) [ 63%] 2022-12-01T10:16:00.6700777Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_celu_cpu_float32 PASSED [ 63%] 2022-12-01T10:16:00.6701154Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv1d_cpu_complex64 SKIPPED (Skipped!) [ 64%] 2022-12-01T10:16:00.6701544Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv1d_cpu_float32 SKIPPED (Skipped!) [ 64%] 2022-12-01T10:16:00.6701931Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv2d_cpu_float32 SKIPPED (Works on some configs!) [ 64%] 2022-12-01T10:16:00.6702347Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv_transpose1d_cpu_complex64 SKIPPED (Skipped!) [ 64%] 2022-12-01T10:16:00.6702741Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv_transpose1d_cpu_float32 XFAIL [ 64%] 2022-12-01T10:16:00.6703137Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_conv_transpose2d_cpu_float32 SKIPPED (Skipped!) [ 65%] 2022-12-01T10:16:00.6703526Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_cosine_embedding_loss_cpu_float32 PASSED [ 65%] 2022-12-01T10:16:00.6703917Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_ctc_loss_cpu_float32 SKIPPED (Skipped!) [ 65%] 2022-12-01T10:16:00.6704302Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_dropout3d_cpu_float32 XFAIL [ 65%] 2022-12-01T10:16:00.6704675Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_embedding_bag_cpu_float32 XFAIL [ 65%] 2022-12-01T10:16:00.6705061Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 XFAIL [ 65%] 2022-12-01T10:16:00.6705481Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_feature_alpha_dropout_without_train_cpu_float32 XFAIL [ 66%] 2022-12-01T10:16:00.6705881Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_fractional_max_pool2d_cpu_float32 XFAIL [ 66%] 2022-12-01T10:16:00.6706256Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_gelu_cpu_float32 PASSED [ 66%] 2022-12-01T10:16:00.6706601Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_glu_cpu_float32 PASSED [ 66%] 2022-12-01T10:16:00.6706970Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_hardshrink_cpu_float32 PASSED [ 66%] 2022-12-01T10:16:00.6707383Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_hardsigmoid_cpu_float32 PASSED [ 67%] 2022-12-01T10:16:00.6707771Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_hinge_embedding_loss_cpu_float32 PASSED [ 67%] 2022-12-01T10:16:00.6708147Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_bilinear_cpu_float32 XFAIL [ 67%] 2022-12-01T10:16:00.6708534Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_linear_cpu_float32 XFAIL [ 67%] 2022-12-01T10:16:00.6708937Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_kl_div_cpu_float32 PASSED [ 67%] 2022-12-01T10:16:00.6709292Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_l1_loss_cpu_complex64 PASSED [ 68%] 2022-12-01T10:16:00.6709665Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_linear_cpu_complex64 PASSED [ 68%] 2022-12-01T10:16:00.6710031Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_linear_cpu_float32 PASSED [ 68%] 2022-12-01T10:16:00.6710404Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_local_response_norm_cpu_float32 XFAIL [ 68%] 2022-12-01T10:16:00.6710782Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_margin_ranking_loss_cpu_float32 PASSED [ 68%] 2022-12-01T10:16:00.6711221Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_pool2d_cpu_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%] 2022-12-01T10:16:00.6711648Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_pool3d_cpu_float32 PASSED [ 69%] 2022-12-01T10:16:00.6712019Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool2d_cpu_float32 PASSED [ 69%] 2022-12-01T10:16:00.6712386Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool2d_grad_cpu_float32 PASSED [ 69%] 2022-12-01T10:16:00.6712767Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool3d_cpu_float32 PASSED [ 69%] 2022-12-01T10:16:00.6713149Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool3d_grad_cpu_float32 PASSED [ 69%] 2022-12-01T10:16:00.6713521Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_mish_cpu_float32 PASSED [ 70%] 2022-12-01T10:16:00.6713872Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_mse_loss_cpu_float32 XFAIL [ 70%] 2022-12-01T10:16:00.6714261Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_multilabel_soft_margin_loss_cpu_float32 PASSED [ 70%] 2022-12-01T10:16:00.6714657Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_nll_loss_cpu_float32 SKIPPED (Skipped!) [ 70%] 2022-12-01T10:16:00.6715035Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_normalize_cpu_float32 PASSED [ 70%] 2022-12-01T10:16:00.6715413Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_circular_cpu_float32 SKIPPED (Skipped!) [ 71%] 2022-12-01T10:16:00.6715804Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_constant_cpu_complex64 PASSED [ 71%] 2022-12-01T10:16:00.6716185Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_constant_cpu_float32 PASSED [ 71%] 2022-12-01T10:16:00.6716575Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_reflect_cpu_float32 SKIPPED (Skipped!) [ 71%] 2022-12-01T10:16:00.6716954Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_replicate_cpu_complex64 PASSED [ 71%] 2022-12-01T10:16:00.6717355Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pairwise_distance_cpu_complex64 SKIPPED (Skipped!) [ 71%] 2022-12-01T10:16:00.6717766Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_shuffle_cpu_complex64 SKIPPED (Skipped!) [ 72%] 2022-12-01T10:16:00.6718192Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_unshuffle_cpu_complex64 SKIPPED (Skipped!) [ 72%] 2022-12-01T10:16:00.6718573Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_rrelu_cpu_float32 XFAIL [ 72%] 2022-12-01T10:16:00.6718944Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_silu_complex_cpu_complex64 PASSED [ 72%] 2022-12-01T10:16:00.6719322Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_smooth_l1_loss_cpu_float32 XFAIL [ 72%] 2022-12-01T10:16:00.6719720Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softmin_with_dtype_cpu_complex64 PASSED [ 73%] 2022-12-01T10:16:00.6720106Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softplus_cpu_float32 PASSED [ 73%] 2022-12-01T10:16:00.6720479Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softshrink_cpu_float32 PASSED [ 73%] 2022-12-01T10:16:00.6720852Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softsign_cpu_float32 PASSED [ 73%] 2022-12-01T10:16:00.6721211Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_tanhshrink_cpu_complex64 PASSED [ 73%] 2022-12-01T10:16:00.6721585Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_tanhshrink_cpu_float32 PASSED [ 73%] 2022-12-01T10:16:00.6721981Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 XFAIL [ 74%] 2022-12-01T10:16:00.6722403Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_unfold_cpu_complex64 SKIPPED (Internal assert failed!) [ 74%] 2022-12-01T10:16:00.6722807Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_unfold_cpu_float32 SKIPPED (Internal assert failed!) [ 74%] 2022-12-01T10:16:00.6723206Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_upsample_bilinear_cpu_float32 XFAIL [ 74%] 2022-12-01T10:16:00.6723588Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_upsample_nearest_cpu_float32 XFAIL [ 74%] 2022-12-01T10:16:00.6723945Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_fro_cpu_float32 XFAIL [ 75%] 2022-12-01T10:16:00.6724273Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_inf_cpu_complex64 PASSED [ 75%] 2022-12-01T10:16:00.6724614Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_inf_cpu_float32 PASSED [ 75%] 2022-12-01T10:16:00.6724947Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_normal_cpu_float32 XFAIL [ 75%] 2022-12-01T10:16:00.6725285Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_cpu_complex64 SKIPPED (Skipped!) [ 75%] 2022-12-01T10:16:00.6725632Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ormqr_cpu_float32 PASSED [ 76%] 2022-12-01T10:16:00.6725958Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_outer_cpu_float32 PASSED [ 76%] 2022-12-01T10:16:00.6726293Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pca_lowrank_cpu_float32 XFAIL [ 76%] 2022-12-01T10:16:00.6726623Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pinverse_cpu_complex64 PASSED [ 76%] 2022-12-01T10:16:00.6727078Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pinverse_cpu_float32 PASSED [ 76%] 2022-12-01T10:16:00.6727454Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polar_cpu_float32 PASSED [ 76%] 2022-12-01T10:16:00.6727811Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_0_cpu_float32 PASSED [ 77%] 2022-12-01T10:16:00.6728184Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_1_cpu_float32 SKIPPED (Skipped!) [ 77%] 2022-12-01T10:16:00.6728545Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pow_cpu_float32 PASSED [ 77%] 2022-12-01T10:16:00.6728875Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_prod_cpu_float32 PASSED [ 77%] 2022-12-01T10:16:00.6729254Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_put_cpu_complex64 PASSED [ 77%] 2022-12-01T10:16:00.6729587Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_put_cpu_float32 PASSED [ 78%] 2022-12-01T10:16:00.6729919Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_quantile_cpu_float32 PASSED [ 78%] 2022-12-01T10:16:00.6730261Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randint_like_cpu_float32 XFAIL [ 78%] 2022-12-01T10:16:00.6730590Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_cpu_complex64 XFAIL [ 78%] 2022-12-01T10:16:00.6730924Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_cpu_float32 XFAIL [ 78%] 2022-12-01T10:16:00.6731296Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_like_cpu_float32 XFAIL [ 78%] 2022-12-01T10:16:00.6731633Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ravel_cpu_float32 PASSED [ 79%] 2022-12-01T10:16:00.6731950Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_real_cpu_float32 PASSED [ 79%] 2022-12-01T10:16:00.6732347Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reciprocal_cpu_float32 PASSED [ 79%] 2022-12-01T10:16:00.6732697Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_renorm_cpu_complex64 PASSED [ 79%] 2022-12-01T10:16:00.6733032Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_as_cpu_complex64 PASSED [ 79%] 2022-12-01T10:16:00.6733382Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_as_cpu_float32 PASSED [ 80%] 2022-12-01T10:16:00.6733727Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_cpu_complex64 PASSED [ 80%] 2022-12-01T10:16:00.6734075Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize__cpu_complex64 PASSED [ 80%] 2022-12-01T10:16:00.6734400Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize__cpu_float32 PASSED [ 80%] 2022-12-01T10:16:00.6734745Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_conj_cpu_complex64 PASSED [ 80%] 2022-12-01T10:16:00.6735086Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_roll_cpu_float32 PASSED [ 81%] 2022-12-01T10:16:00.6735410Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rot90_cpu_complex64 PASSED [ 81%] 2022-12-01T10:16:00.6735742Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_cpu_float32 PASSED [ 81%] 2022-12-01T10:16:00.6736096Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_decimals_3_cpu_float32 SKIPPED (Skipped!) [ 81%] 2022-12-01T10:16:00.6736482Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_decimals_neg_3_cpu_float32 SKIPPED (Skipped!) [ 81%] 2022-12-01T10:16:00.6736833Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsqrt_cpu_complex64 PASSED [ 81%] 2022-12-01T10:16:00.6737173Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsub_cpu_complex64 PASSED [ 82%] 2022-12-01T10:16:00.6737518Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_add_cpu_complex64 PASSED [ 82%] 2022-12-01T10:16:00.6737868Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_add_cpu_float32 PASSED [ 82%] 2022-12-01T10:16:00.6738210Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_amax_cpu_float32 PASSED [ 82%] 2022-12-01T10:16:00.6738567Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_amin_cpu_float32 PASSED [ 82%] 2022-12-01T10:16:00.6738927Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_mean_cpu_float32 PASSED [ 83%] 2022-12-01T10:16:00.6739273Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_prod_cpu_float32 PASSED [ 83%] 2022-12-01T10:16:00.6739642Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_segment_reduce_lengths_cpu_float32 PASSED [ 83%] 2022-12-01T10:16:00.6740009Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_segment_reduce_offsets_cpu_float32 PASSED [ 83%] 2022-12-01T10:16:00.6740355Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_select_cpu_float32 PASSED [ 83%] 2022-12-01T10:16:00.6740724Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_select_scatter_cpu_float32 PASSED [ 84%] 2022-12-01T10:16:00.6741065Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_short_cpu_float32 XFAIL [ 84%] 2022-12-01T10:16:00.6741401Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sigmoid_cpu_complex64 PASSED [ 84%] 2022-12-01T10:16:00.6741742Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sigmoid_cpu_float32 PASSED [ 84%] 2022-12-01T10:16:00.6742065Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signbit_cpu_float32 PASSED [ 84%] 2022-12-01T10:16:00.6742458Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sin_cpu_complex64 PASSED [ 84%] 2022-12-01T10:16:00.6742789Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sin_cpu_float32 PASSED [ 85%] 2022-12-01T10:16:00.6743109Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinc_cpu_complex64 PASSED [ 85%] 2022-12-01T10:16:00.6743441Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinc_cpu_float32 PASSED [ 85%] 2022-12-01T10:16:00.6743776Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinh_cpu_complex64 PASSED [ 85%] 2022-12-01T10:16:00.6744344Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_slice_cpu_float32 SKIPPED (variant consistency doesn't work on torch.ops) [ 85%] 2022-12-01T10:16:00.6744722Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_slice_scatter_cpu_float32 PASSED [ 86%] 2022-12-01T10:16:00.6745066Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_softmax_cpu_float32 PASSED [ 86%] 2022-12-01T10:16:00.6745423Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_softmax_with_dtype_cpu_complex64 PASSED [ 86%] 2022-12-01T10:16:00.6745790Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_softmax_with_dtype_cpu_float32 PASSED [ 86%] 2022-12-01T10:16:00.6746121Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sort_cpu_float32 PASSED [ 86%] 2022-12-01T10:16:00.6746469Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_airy_ai_cpu_float32 PASSED [ 86%] 2022-12-01T10:16:00.6746827Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_y0_cpu_float32 PASSED [ 87%] 2022-12-01T10:16:00.6747188Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_t_cpu_float32 PASSED [ 87%] 2022-12-01T10:16:00.6747576Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_u_cpu_float32 PASSED [ 87%] 2022-12-01T10:16:00.6748154Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_v_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-12-01T10:16:00.6748782Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_chebyshev_polynomial_w_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-12-01T10:16:00.6749196Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_entr_cpu_float32 PASSED [ 88%] 2022-12-01T10:16:00.6749552Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_erfcx_cpu_float32 PASSED [ 88%] 2022-12-01T10:16:00.6749920Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_hermite_polynomial_he_cpu_float32 PASSED [ 88%] 2022-12-01T10:16:00.6750278Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i1_cpu_float32 PASSED [ 88%] 2022-12-01T10:16:00.6750631Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_laguerre_polynomial_l_cpu_float32 PASSED [ 88%] 2022-12-01T10:16:00.6751006Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_i0_cpu_float32 PASSED [ 89%] 2022-12-01T10:16:00.6751380Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_i1_cpu_float32 PASSED [ 89%] 2022-12-01T10:16:00.6751741Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_ndtr_cpu_float32 PASSED [ 89%] 2022-12-01T10:16:00.6752293Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 89%] 2022-12-01T10:16:00.6752985Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 89%] 2022-12-01T10:16:00.6753433Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_spherical_bessel_j0_cpu_float32 PASSED [ 89%] 2022-12-01T10:16:00.6753801Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_xlog1py_cpu_float32 PASSED [ 90%] 2022-12-01T10:16:00.6754167Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_cpu_float32 PASSED [ 90%] 2022-12-01T10:16:00.6754516Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_list_args_cpu_complex64 PASSED [ 90%] 2022-12-01T10:16:00.6754871Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_list_args_cpu_float32 PASSED [ 90%] 2022-12-01T10:16:00.6755231Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_cpu_complex64 PASSED [ 90%] 2022-12-01T10:16:00.6755566Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sqrt_cpu_complex64 PASSED [ 91%] 2022-12-01T10:16:00.6755904Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_square_cpu_float32 PASSED [ 91%] 2022-12-01T10:16:00.6756241Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_cpu_complex64 PASSED [ 91%] 2022-12-01T10:16:00.6756568Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_cpu_float32 PASSED [ 91%] 2022-12-01T10:16:00.6756909Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stack_cpu_float32 PASSED [ 91%] 2022-12-01T10:16:00.6757241Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_cpu_complex64 PASSED [ 92%] 2022-12-01T10:16:00.6757583Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_cpu_complex64 PASSED [ 92%] 2022-12-01T10:16:00.6757915Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_cpu_float32 PASSED [ 92%] 2022-12-01T10:16:00.6758308Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stft_cpu_complex64 SKIPPED (Skipped! stft does not match the native function) [ 92%] 2022-12-01T10:16:00.6758691Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sub_cpu_float32 PASSED [ 92%] 2022-12-01T10:16:00.6759021Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_cpu_complex64 PASSED [ 92%] 2022-12-01T10:16:00.6759337Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_cpu_float32 PASSED [ 93%] 2022-12-01T10:16:00.6759667Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_cpu_complex64 PASSED [ 93%] 2022-12-01T10:16:00.6760054Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_lowrank_cpu_float32 XFAIL [ 93%] 2022-12-01T10:16:00.6760382Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_symeig_cpu_float32 PASSED [ 93%] 2022-12-01T10:16:00.6760719Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_cpu_complex64 PASSED [ 93%] 2022-12-01T10:16:00.6761050Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tan_cpu_complex64 PASSED [ 94%] 2022-12-01T10:16:00.6761384Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tanh_cpu_complex64 PASSED [ 94%] 2022-12-01T10:16:00.6761706Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tanh_cpu_float32 PASSED [ 94%] 2022-12-01T10:16:00.6762051Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_complex64 PASSED [ 94%] 2022-12-01T10:16:00.6762397Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_complex64 PASSED [ 94%] 2022-12-01T10:16:00.6762735Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_float32 PASSED [ 94%] 2022-12-01T10:16:00.6763070Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_complex64 SKIPPED (Skipped!) [ 95%] 2022-12-01T10:16:00.6763429Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_float32 SKIPPED (Skipped!) [ 95%] 2022-12-01T10:16:00.6763805Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_float32 PASSED [ 95%] 2022-12-01T10:16:00.6764132Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_complex64 PASSED [ 95%] 2022-12-01T10:16:00.6764471Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_complex64 PASSED [ 95%] 2022-12-01T10:16:00.6764815Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_float32 PASSED [ 96%] 2022-12-01T10:16:00.6765154Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_float32 PASSED [ 96%] 2022-12-01T10:16:00.6765513Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_float32 PASSED [ 96%] 2022-12-01T10:16:00.6765861Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_float32 PASSED [ 96%] 2022-12-01T10:16:00.6766198Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_complex64 PASSED [ 96%] 2022-12-01T10:16:00.6766521Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trunc_cpu_float32 PASSED [ 97%] 2022-12-01T10:16:00.6766856Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_complex64 PASSED [ 97%] 2022-12-01T10:16:00.6767310Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_float32 PASSED [ 97%] 2022-12-01T10:16:00.6767646Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_complex64 PASSED [ 97%] 2022-12-01T10:16:00.6767971Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_complex64 XFAIL [ 97%] 2022-12-01T10:16:00.6768305Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_cpu_float32 XFAIL [ 97%] 2022-12-01T10:16:00.6768646Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_float32 PASSED [ 98%] 2022-12-01T10:16:00.6768986Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_complex64 PASSED [ 98%] 2022-12-01T10:16:00.6769304Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_float32 PASSED [ 98%] 2022-12-01T10:16:00.6769646Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_complex64 PASSED [ 98%] 2022-12-01T10:16:00.6769991Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_float32 PASSED [ 98%] 2022-12-01T10:16:00.6770323Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_real_cpu_complex64 PASSED [ 99%] 2022-12-01T10:16:00.6770671Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_float32 PASSED [ 99%] 2022-12-01T10:16:00.6771026Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_complex64 SKIPPED (Skipped!) [ 99%] 2022-12-01T10:16:00.6771377Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_complex64 XFAIL [ 99%] 2022-12-01T10:16:00.6771699Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_float32 XFAIL [ 99%] 2022-12-01T10:16:00.6772036Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_float32 PASSED [100%] 2022-12-01T10:16:00.6772227Z 2022-12-01T10:16:00.6772640Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-2b2bc8c7af690a95.xml - 2022-12-01T10:16:00.6773014Z = 402 passed, 56 skipped, 1 deselected, 80 xfailed, 91 warnings in 466.90s (0:07:46) = 2022-12-01T10:16:00.6773331Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-12-01T10:16:00.6773525Z 2022-12-01T10:16:00.6773853Z ##[endgroup] 2022-12-01T10:16:00.6774228Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_88k7a9s6) 2022-12-01T10:16:00.6774435Z 2022-12-01T10:16:01.0326754Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-x', '--reruns=2', '-rfEX', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:16:01.032221] 2022-12-01T10:16:08.9451547Z 2022-12-01T10:16:08.9452561Z Expand the folded group to see the log file of test_ops_jit 2022-12-01T10:16:08.9453825Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_0kn7_x_j) 2022-12-01T10:16:08.9454744Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-199e4dd028dda8f9.xml 2022-12-01T10:16:08.9455238Z ============================= test session starts ============================== 2022-12-01T10:16:08.9455824Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python 2022-12-01T10:16:08.9456254Z cachedir: .pytest_cache 2022-12-01T10:16:08.9457162Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-12-01T10:16:08.9457752Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-12-01T10:16:08.9458460Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T10:16:08.9459013Z collecting ... collected 1018 items / 1014 deselected / 4 selected 2022-12-01T10:16:08.9460137Z Running 4 items in this shard: test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_ex_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_ex_cpu_float32 2022-12-01T10:16:08.9461021Z 2022-12-01T10:16:08.9461318Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_cpu_complex64 PASSED [ 25%] 2022-12-01T10:16:08.9461870Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_cpu_float32 PASSED [ 50%] 2022-12-01T10:16:08.9462476Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_ex_cpu_complex64 PASSED [ 75%] 2022-12-01T10:16:08.9463100Z test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_linalg_cholesky_ex_cpu_float32 PASSED [100%] 2022-12-01T10:16:08.9463395Z 2022-12-01T10:16:08.9463951Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-199e4dd028dda8f9.xml - 2022-12-01T10:16:08.9464556Z ================ 4 passed, 1014 deselected, 1 warning in 4.96s ================= 2022-12-01T10:16:08.9465046Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-12-01T10:16:08.9465348Z 2022-12-01T10:16:08.9465715Z ##[endgroup] 2022-12-01T10:16:08.9466333Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_0kn7_x_j) 2022-12-01T10:16:08.9466667Z 2022-12-01T10:16:08.9466932Z Running test_meta ... [2022-12-01 10:16:08.946155] 2022-12-01T10:16:08.9467589Z Executing ['/opt/conda/bin/python', '-bb', 'test_meta.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:16:08.946522] 2022-12-01T10:23:49.2145170Z 2022-12-01T10:23:49.2145782Z Expand the folded group to see the log file of test_meta 2022-12-01T10:23:49.2146541Z ##[group]PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_una5vq0p) 2022-12-01T10:23:49.2155102Z Test results will be stored in test-reports/python-unittest/test_meta 2022-12-01T10:23:49.2155385Z 2022-12-01T10:23:49.2157147Z Running tests... 2022-12-01T10:23:49.2157882Z ---------------------------------------------------------------------- 2022-12-01T10:23:49.2158728Z test_dispatch_meta_H_cpu_bfloat16 (__main__.TestMetaCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT run_meta_crossref test_meta.py line 307 2022-12-01T10:23:49.2159139Z due to: 2022-12-01T10:23:49.2159397Z Traceback (most recent call last): 2022-12-01T10:23:49.2159816Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.2160619Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.2168846Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.2169376Z 2022-12-01T10:23:49.2169500Z from user code: 2022-12-01T10:23:49.2169811Z File "test_meta.py", line 317, in run_meta_crossref 2022-12-01T10:23:49.2170135Z to_meta = MetaConverter() 2022-12-01T10:23:49.2208505Z 2022-12-01T10:23:49.2209435Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.2210107Z ========== 2022-12-01T10:23:49.2210759Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assert_ref_meta_equal test_meta.py line 206 2022-12-01T10:23:49.2211198Z due to: 2022-12-01T10:23:49.2211587Z Traceback (most recent call last): 2022-12-01T10:23:49.2212504Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:23:49.2213037Z assert device.type != "meta" 2022-12-01T10:23:49.2213448Z AssertionError 2022-12-01T10:23:49.2259558Z 2022-12-01T10:23:49.2259998Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.2260591Z ========== 2022-12-01T10:23:49.2260850Z ok (1.853s) 2022-12-01T10:23:49.2261848Z test_dispatch_meta_H_cpu_bool (__main__.TestMetaCPU) ... ok (0.111s) 2022-12-01T10:23:49.2262624Z test_dispatch_meta_H_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.312s) 2022-12-01T10:23:49.2263746Z test_dispatch_meta_H_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.307s) 2022-12-01T10:23:49.2265837Z test_dispatch_meta_H_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2266323Z test_dispatch_meta_H_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2266751Z test_dispatch_meta_H_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2267193Z test_dispatch_meta_H_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2267689Z test_dispatch_meta_H_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2268141Z test_dispatch_meta_H_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2268594Z test_dispatch_meta_H_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2269048Z test_dispatch_meta_H_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2269507Z test_dispatch_meta_H_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2269909Z test_dispatch_meta_T_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2270318Z test_dispatch_meta_T_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2274131Z test_dispatch_meta_T_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2274580Z test_dispatch_meta_T_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2275077Z test_dispatch_meta_T_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2275579Z test_dispatch_meta_T_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2276116Z test_dispatch_meta_T_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2276540Z test_dispatch_meta_T_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2277033Z test_dispatch_meta_T_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2277642Z test_dispatch_meta_T_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2278249Z test_dispatch_meta_T_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2330147Z test_dispatch_meta_T_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2330701Z test_dispatch_meta_T_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2331295Z test_dispatch_meta___getitem___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2331821Z test_dispatch_meta___getitem___cpu_bool (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2350915Z test_dispatch_meta___getitem___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2351268Z test_dispatch_meta___getitem___cpu_complex32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2351710Z test_dispatch_meta___getitem___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2352162Z test_dispatch_meta___getitem___cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2352460Z test_dispatch_meta___getitem___cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2352773Z test_dispatch_meta___getitem___cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2353081Z test_dispatch_meta___getitem___cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2353432Z test_dispatch_meta___getitem___cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2353718Z test_dispatch_meta___getitem___cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2354015Z test_dispatch_meta___getitem___cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2354317Z test_dispatch_meta___getitem___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2354601Z test_dispatch_meta___radd___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2354889Z test_dispatch_meta___radd___cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2355193Z test_dispatch_meta___radd___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2355505Z test_dispatch_meta___radd___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2355797Z test_dispatch_meta___radd___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2356093Z test_dispatch_meta___radd___cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2356385Z test_dispatch_meta___radd___cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2356667Z test_dispatch_meta___radd___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2356955Z test_dispatch_meta___radd___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2357242Z test_dispatch_meta___radd___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2357531Z test_dispatch_meta___radd___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2357806Z test_dispatch_meta___radd___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2358093Z test_dispatch_meta___rand___cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2358385Z test_dispatch_meta___rand___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2358695Z test_dispatch_meta___rand___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2359131Z test_dispatch_meta___rand___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2359557Z test_dispatch_meta___rand___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2359954Z test_dispatch_meta___rand___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2360344Z test_dispatch_meta___rdiv___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2360747Z test_dispatch_meta___rdiv___cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2361156Z test_dispatch_meta___rdiv___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2361553Z test_dispatch_meta___rdiv___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2361965Z test_dispatch_meta___rdiv___cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2362367Z test_dispatch_meta___rdiv___cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2362770Z test_dispatch_meta___rdiv___cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2363157Z test_dispatch_meta___rdiv___cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2363555Z test_dispatch_meta___rdiv___cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2363942Z test_dispatch_meta___rdiv___cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2364409Z test_dispatch_meta___rdiv___cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2364804Z test_dispatch_meta___rdiv___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2365207Z test_dispatch_meta___rmatmul___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.2365615Z test_dispatch_meta___rmatmul___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2366033Z test_dispatch_meta___rmatmul___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2366451Z test_dispatch_meta___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2366916Z test_dispatch_meta___rmatmul___cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2367510Z test_dispatch_meta___rmatmul___cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2367921Z test_dispatch_meta___rmatmul___cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2368349Z test_dispatch_meta___rmatmul___cpu_int64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2368786Z test_dispatch_meta___rmatmul___cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2369196Z test_dispatch_meta___rmatmul___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2369618Z test_dispatch_meta___rmod___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2370037Z test_dispatch_meta___rmod___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2370450Z test_dispatch_meta___rmod___cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2370872Z test_dispatch_meta___rmod___cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2371388Z test_dispatch_meta___rmul___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2371793Z test_dispatch_meta___rmul___cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2372193Z test_dispatch_meta___rmul___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2372597Z test_dispatch_meta___rmul___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2373004Z test_dispatch_meta___rmul___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2373384Z test_dispatch_meta___rmul___cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2373776Z test_dispatch_meta___rmul___cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2374173Z test_dispatch_meta___rmul___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2374562Z test_dispatch_meta___rmul___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2374934Z test_dispatch_meta___rmul___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2375318Z test_dispatch_meta___rmul___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2375717Z test_dispatch_meta___rmul___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2376103Z test_dispatch_meta___ror___cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2376499Z test_dispatch_meta___ror___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2376893Z test_dispatch_meta___ror___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2377291Z test_dispatch_meta___ror___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2377673Z test_dispatch_meta___ror___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2378077Z test_dispatch_meta___ror___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2378495Z test_dispatch_meta___rpow___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2378904Z test_dispatch_meta___rpow___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2379382Z test_dispatch_meta___rpow___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2380000Z test_dispatch_meta___rpow___cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2380499Z test_dispatch_meta___rpow___cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2380974Z test_dispatch_meta___rpow___cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2381423Z test_dispatch_meta___rpow___cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2381850Z test_dispatch_meta___rpow___cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2382249Z test_dispatch_meta___rpow___cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2382769Z test_dispatch_meta___rpow___cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2383206Z test_dispatch_meta___rpow___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2383620Z test_dispatch_meta___rsub___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2384060Z test_dispatch_meta___rsub___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2384516Z test_dispatch_meta___rsub___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2384960Z test_dispatch_meta___rsub___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2385385Z test_dispatch_meta___rsub___cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2385815Z test_dispatch_meta___rsub___cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2386247Z test_dispatch_meta___rsub___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2386662Z test_dispatch_meta___rsub___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2387135Z test_dispatch_meta___rsub___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2387614Z test_dispatch_meta___rsub___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2388100Z test_dispatch_meta___rsub___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2388555Z test_dispatch_meta___rxor___cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2389007Z test_dispatch_meta___rxor___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2389465Z test_dispatch_meta___rxor___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2488294Z test_dispatch_meta___rxor___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2488620Z test_dispatch_meta___rxor___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2488923Z test_dispatch_meta___rxor___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2489234Z test_dispatch_meta_abs_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2489520Z test_dispatch_meta_abs_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2489818Z test_dispatch_meta_abs_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2490118Z test_dispatch_meta_abs_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2490396Z test_dispatch_meta_abs_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2490683Z test_dispatch_meta_abs_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2490969Z test_dispatch_meta_abs_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2491336Z test_dispatch_meta_abs_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2491612Z test_dispatch_meta_abs_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2491893Z test_dispatch_meta_abs_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2492183Z test_dispatch_meta_abs_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2492449Z test_dispatch_meta_abs_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2492739Z test_dispatch_meta_acos_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2493187Z test_dispatch_meta_acos_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2493483Z test_dispatch_meta_acos_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2493771Z test_dispatch_meta_acos_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2494070Z test_dispatch_meta_acos_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2494367Z test_dispatch_meta_acos_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2494640Z test_dispatch_meta_acos_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2494978Z test_dispatch_meta_acos_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2495259Z test_dispatch_meta_acos_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2495538Z test_dispatch_meta_acos_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2495804Z test_dispatch_meta_acos_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2496095Z test_dispatch_meta_acosh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2496383Z test_dispatch_meta_acosh_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2496666Z test_dispatch_meta_acosh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2496967Z test_dispatch_meta_acosh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2497264Z test_dispatch_meta_acosh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2497555Z test_dispatch_meta_acosh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2497832Z test_dispatch_meta_acosh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2498120Z test_dispatch_meta_acosh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2498402Z test_dispatch_meta_acosh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2498673Z test_dispatch_meta_acosh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2498957Z test_dispatch_meta_acosh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2499248Z test_dispatch_meta_add_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2499535Z test_dispatch_meta_add_cpu_bool (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2499813Z test_dispatch_meta_add_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2500108Z test_dispatch_meta_add_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2500399Z test_dispatch_meta_add_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2500678Z test_dispatch_meta_add_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2500966Z test_dispatch_meta_add_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2501249Z test_dispatch_meta_add_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2501517Z test_dispatch_meta_add_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2501800Z test_dispatch_meta_add_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2502073Z test_dispatch_meta_add_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2502354Z test_dispatch_meta_add_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2502620Z test_dispatch_meta_add_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2502906Z test_dispatch_meta_addbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2503207Z test_dispatch_meta_addbmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.2503504Z test_dispatch_meta_addbmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.2503804Z test_dispatch_meta_addbmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2504098Z test_dispatch_meta_addbmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2504425Z test_dispatch_meta_addbmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2504701Z test_dispatch_meta_addbmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2504993Z test_dispatch_meta_addbmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2505280Z test_dispatch_meta_addbmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2505554Z test_dispatch_meta_addbmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2505848Z test_dispatch_meta_addcdiv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2506177Z test_dispatch_meta_addcdiv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2506486Z test_dispatch_meta_addcdiv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2506776Z test_dispatch_meta_addcdiv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2507071Z test_dispatch_meta_addcdiv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2507371Z test_dispatch_meta_addcmul_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2507662Z test_dispatch_meta_addcmul_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2507970Z test_dispatch_meta_addcmul_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2508271Z test_dispatch_meta_addcmul_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2508561Z test_dispatch_meta_addcmul_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2508843Z test_dispatch_meta_addcmul_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2509135Z test_dispatch_meta_addcmul_cpu_int32 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.2509425Z test_dispatch_meta_addcmul_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2509700Z test_dispatch_meta_addcmul_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2509993Z test_dispatch_meta_addcmul_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2510286Z test_dispatch_meta_addmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2510583Z test_dispatch_meta_addmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2510870Z test_dispatch_meta_addmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2511166Z test_dispatch_meta_addmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2511455Z test_dispatch_meta_addmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2511731Z test_dispatch_meta_addmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2512017Z test_dispatch_meta_addmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2512301Z test_dispatch_meta_addmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2512587Z test_dispatch_meta_addmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2512860Z test_dispatch_meta_addmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2513166Z test_dispatch_meta_addmm_decomposed_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2513493Z test_dispatch_meta_addmm_decomposed_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2513808Z test_dispatch_meta_addmm_decomposed_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2514129Z test_dispatch_meta_addmm_decomposed_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2514451Z test_dispatch_meta_addmm_decomposed_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2514767Z test_dispatch_meta_addmm_decomposed_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2515070Z test_dispatch_meta_addmm_decomposed_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2515411Z test_dispatch_meta_addmm_decomposed_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2515726Z test_dispatch_meta_addmm_decomposed_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2516065Z test_dispatch_meta_addmm_decomposed_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2516365Z test_dispatch_meta_addmv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2516660Z test_dispatch_meta_addmv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2516957Z test_dispatch_meta_addmv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2517265Z test_dispatch_meta_addmv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2517557Z test_dispatch_meta_addmv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2517845Z test_dispatch_meta_addmv_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2518118Z test_dispatch_meta_addmv_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2518409Z test_dispatch_meta_addmv_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2518692Z test_dispatch_meta_addmv_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2518978Z test_dispatch_meta_addmv_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2519250Z test_dispatch_meta_addr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2519538Z test_dispatch_meta_addr_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2519827Z test_dispatch_meta_addr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2520117Z test_dispatch_meta_addr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2520412Z test_dispatch_meta_addr_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2520702Z test_dispatch_meta_addr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2520990Z test_dispatch_meta_addr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2521259Z test_dispatch_meta_addr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2521545Z test_dispatch_meta_addr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2521828Z test_dispatch_meta_addr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2522094Z test_dispatch_meta_addr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2522377Z test_dispatch_meta_addr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2522658Z test_dispatch_meta_all_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2522933Z test_dispatch_meta_all_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2523225Z test_dispatch_meta_all_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2523517Z test_dispatch_meta_all_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2523808Z test_dispatch_meta_all_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2524079Z test_dispatch_meta_all_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2524364Z test_dispatch_meta_all_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2524642Z test_dispatch_meta_all_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2524909Z test_dispatch_meta_all_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2525189Z test_dispatch_meta_all_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2525470Z test_dispatch_meta_all_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2525750Z test_dispatch_meta_all_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2526025Z test_dispatch_meta_allclose_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.188s) 2022-12-01T10:23:49.2526329Z test_dispatch_meta_allclose_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.187s) 2022-12-01T10:23:49.2526673Z test_dispatch_meta_allclose_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.188s) 2022-12-01T10:23:49.2527177Z test_dispatch_meta_allclose_cpu_float16 (__main__.TestMetaCPU) ... ok (0.188s) 2022-12-01T10:23:49.2527490Z test_dispatch_meta_allclose_cpu_float32 (__main__.TestMetaCPU) ... ok (0.185s) 2022-12-01T10:23:49.2527785Z test_dispatch_meta_allclose_cpu_float64 (__main__.TestMetaCPU) ... ok (0.185s) 2022-12-01T10:23:49.2528085Z test_dispatch_meta_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2528362Z test_dispatch_meta_amax_cpu_bool (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2528712Z test_dispatch_meta_amax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2529010Z test_dispatch_meta_amax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2529284Z test_dispatch_meta_amax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2529572Z test_dispatch_meta_amax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2529859Z test_dispatch_meta_amax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2530145Z test_dispatch_meta_amax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2530412Z test_dispatch_meta_amax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2530700Z test_dispatch_meta_amax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2530983Z test_dispatch_meta_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2531328Z test_dispatch_meta_amin_cpu_bool (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2531626Z test_dispatch_meta_amin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2531919Z test_dispatch_meta_amin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2532207Z test_dispatch_meta_amin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2532481Z test_dispatch_meta_amin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2532771Z test_dispatch_meta_amin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2533054Z test_dispatch_meta_amin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2533319Z test_dispatch_meta_amin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2533603Z test_dispatch_meta_amin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2533888Z test_dispatch_meta_aminmax_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2534187Z test_dispatch_meta_aminmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2534470Z test_dispatch_meta_aminmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2534760Z test_dispatch_meta_aminmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2535050Z test_dispatch_meta_aminmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2535327Z test_dispatch_meta_aminmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2535614Z test_dispatch_meta_aminmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2535909Z test_dispatch_meta_aminmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2536188Z test_dispatch_meta_angle_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2536477Z test_dispatch_meta_angle_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2536771Z test_dispatch_meta_angle_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2537074Z test_dispatch_meta_angle_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2537355Z test_dispatch_meta_angle_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2537641Z test_dispatch_meta_angle_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2537970Z test_dispatch_meta_angle_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2538240Z test_dispatch_meta_angle_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2538524Z test_dispatch_meta_angle_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2538809Z test_dispatch_meta_angle_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2539089Z test_dispatch_meta_angle_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2539364Z test_dispatch_meta_angle_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2539649Z test_dispatch_meta_any_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2539965Z test_dispatch_meta_any_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2540246Z test_dispatch_meta_any_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2540543Z test_dispatch_meta_any_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2540834Z test_dispatch_meta_any_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2541117Z test_dispatch_meta_any_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2541384Z test_dispatch_meta_any_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2541665Z test_dispatch_meta_any_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2541945Z test_dispatch_meta_any_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2542209Z test_dispatch_meta_any_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2542492Z test_dispatch_meta_any_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2542768Z test_dispatch_meta_any_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2543049Z test_dispatch_meta_arange_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2543331Z test_dispatch_meta_arange_cpu_float16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2543623Z test_dispatch_meta_arange_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2543910Z test_dispatch_meta_arange_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2544190Z test_dispatch_meta_arange_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2544478Z test_dispatch_meta_arange_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2544764Z test_dispatch_meta_arange_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2545047Z test_dispatch_meta_arange_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2545325Z test_dispatch_meta_arange_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2545622Z test_dispatch_meta_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2545918Z test_dispatch_meta_argmax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2546199Z test_dispatch_meta_argmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2546483Z test_dispatch_meta_argmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2546775Z test_dispatch_meta_argmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2547063Z test_dispatch_meta_argmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2547337Z test_dispatch_meta_argmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2547623Z test_dispatch_meta_argmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2547908Z test_dispatch_meta_argmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2548190Z test_dispatch_meta_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2548483Z test_dispatch_meta_argmin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2548777Z test_dispatch_meta_argmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2549085Z test_dispatch_meta_argmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2549380Z test_dispatch_meta_argmin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2549669Z test_dispatch_meta_argmin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2549954Z test_dispatch_meta_argmin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2550223Z test_dispatch_meta_argmin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2550508Z test_dispatch_meta_argmin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2550832Z test_dispatch_meta_argsort_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2551114Z test_dispatch_meta_argsort_cpu_bool (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2551405Z test_dispatch_meta_argsort_cpu_float16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2551701Z test_dispatch_meta_argsort_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2551993Z test_dispatch_meta_argsort_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2552272Z test_dispatch_meta_argsort_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2552559Z test_dispatch_meta_argsort_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2552850Z test_dispatch_meta_argsort_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2553128Z test_dispatch_meta_argsort_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2553416Z test_dispatch_meta_argsort_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2553713Z test_dispatch_meta_argwhere_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2554011Z test_dispatch_meta_argwhere_cpu_bool (__main__.TestMetaCPU) ... ok (0.041s) 2022-12-01T10:23:49.2554298Z test_dispatch_meta_argwhere_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2554609Z test_dispatch_meta_argwhere_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2554914Z test_dispatch_meta_argwhere_cpu_float16 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2555197Z test_dispatch_meta_argwhere_cpu_float32 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2555489Z test_dispatch_meta_argwhere_cpu_float64 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2555780Z test_dispatch_meta_argwhere_cpu_int16 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2556072Z test_dispatch_meta_argwhere_cpu_int32 (__main__.TestMetaCPU) ... ok (0.041s) 2022-12-01T10:23:49.2556347Z test_dispatch_meta_argwhere_cpu_int64 (__main__.TestMetaCPU) ... ok (0.041s) 2022-12-01T10:23:49.2556640Z test_dispatch_meta_argwhere_cpu_int8 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2556933Z test_dispatch_meta_argwhere_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.2557223Z test_dispatch_meta_as_strided_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2557525Z test_dispatch_meta_as_strided_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2557830Z test_dispatch_meta_as_strided_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2558143Z test_dispatch_meta_as_strided_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2558441Z test_dispatch_meta_as_strided_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2558750Z test_dispatch_meta_as_strided_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2559054Z test_dispatch_meta_as_strided_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2559345Z test_dispatch_meta_as_strided_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2559640Z test_dispatch_meta_as_strided_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2559961Z test_dispatch_meta_as_strided_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2560254Z test_dispatch_meta_as_strided_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2560535Z test_dispatch_meta_as_strided_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2560826Z test_dispatch_meta_as_strided_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2561135Z test_dispatch_meta_as_strided_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2561442Z test_dispatch_meta_as_strided_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2561791Z test_dispatch_meta_as_strided_scatter_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2562120Z test_dispatch_meta_as_strided_scatter_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2620420Z test_dispatch_meta_as_strided_scatter_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2620781Z test_dispatch_meta_as_strided_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2621105Z test_dispatch_meta_as_strided_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2621423Z test_dispatch_meta_as_strided_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2621723Z test_dispatch_meta_as_strided_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2622044Z test_dispatch_meta_as_strided_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2622361Z test_dispatch_meta_as_strided_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2622679Z test_dispatch_meta_as_strided_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2622984Z test_dispatch_meta_as_strided_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2623286Z test_dispatch_meta_asin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2623577Z test_dispatch_meta_asin_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2623856Z test_dispatch_meta_asin_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2624156Z test_dispatch_meta_asin_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2624450Z test_dispatch_meta_asin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2624738Z test_dispatch_meta_asin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2625008Z test_dispatch_meta_asin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2625294Z test_dispatch_meta_asin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2625572Z test_dispatch_meta_asin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2625837Z test_dispatch_meta_asin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2626119Z test_dispatch_meta_asin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2626408Z test_dispatch_meta_asinh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2626699Z test_dispatch_meta_asinh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2626978Z test_dispatch_meta_asinh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2627276Z test_dispatch_meta_asinh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2627572Z test_dispatch_meta_asinh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2627854Z test_dispatch_meta_asinh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2628144Z test_dispatch_meta_asinh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2628427Z test_dispatch_meta_asinh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2628704Z test_dispatch_meta_asinh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2629132Z test_dispatch_meta_asinh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2629417Z test_dispatch_meta_asinh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2629709Z test_dispatch_meta_atan2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2629988Z test_dispatch_meta_atan2_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2630275Z test_dispatch_meta_atan2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2630566Z test_dispatch_meta_atan2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2630840Z test_dispatch_meta_atan2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2631173Z test_dispatch_meta_atan2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2631459Z test_dispatch_meta_atan2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2631734Z test_dispatch_meta_atan2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2632006Z test_dispatch_meta_atan2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2632296Z test_dispatch_meta_atan_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2632583Z test_dispatch_meta_atan_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2632863Z test_dispatch_meta_atan_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2633157Z test_dispatch_meta_atan_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2633447Z test_dispatch_meta_atan_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2633745Z test_dispatch_meta_atan_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2634018Z test_dispatch_meta_atan_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2634305Z test_dispatch_meta_atan_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2634586Z test_dispatch_meta_atan_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2634852Z test_dispatch_meta_atan_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2635134Z test_dispatch_meta_atan_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2635422Z test_dispatch_meta_atanh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2635710Z test_dispatch_meta_atanh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2635991Z test_dispatch_meta_atanh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2636287Z test_dispatch_meta_atanh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2636585Z test_dispatch_meta_atanh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2636864Z test_dispatch_meta_atanh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2637151Z test_dispatch_meta_atanh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2637438Z test_dispatch_meta_atanh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2637721Z test_dispatch_meta_atanh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2637988Z test_dispatch_meta_atanh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2638271Z test_dispatch_meta_atanh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2638565Z test_dispatch_meta_atleast_1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2638854Z test_dispatch_meta_atleast_1d_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2639163Z test_dispatch_meta_atleast_1d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2639473Z test_dispatch_meta_atleast_1d_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2639782Z test_dispatch_meta_atleast_1d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2640073Z test_dispatch_meta_atleast_1d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2640403Z test_dispatch_meta_atleast_1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2640697Z test_dispatch_meta_atleast_1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2640982Z test_dispatch_meta_atleast_1d_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2641279Z test_dispatch_meta_atleast_1d_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2641574Z test_dispatch_meta_atleast_1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2641868Z test_dispatch_meta_atleast_1d_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2642197Z test_dispatch_meta_atleast_1d_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2642501Z test_dispatch_meta_atleast_2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2642800Z test_dispatch_meta_atleast_2d_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2643092Z test_dispatch_meta_atleast_2d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2643398Z test_dispatch_meta_atleast_2d_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2643704Z test_dispatch_meta_atleast_2d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2644006Z test_dispatch_meta_atleast_2d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2650402Z test_dispatch_meta_atleast_2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2650725Z test_dispatch_meta_atleast_2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2651026Z test_dispatch_meta_atleast_2d_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2651379Z test_dispatch_meta_atleast_2d_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2651681Z test_dispatch_meta_atleast_2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2651981Z test_dispatch_meta_atleast_2d_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2652278Z test_dispatch_meta_atleast_2d_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2652568Z test_dispatch_meta_atleast_3d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2652865Z test_dispatch_meta_atleast_3d_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2653172Z test_dispatch_meta_atleast_3d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2653469Z test_dispatch_meta_atleast_3d_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2653778Z test_dispatch_meta_atleast_3d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2654081Z test_dispatch_meta_atleast_3d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2654378Z test_dispatch_meta_atleast_3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2654660Z test_dispatch_meta_atleast_3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2654956Z test_dispatch_meta_atleast_3d_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2655248Z test_dispatch_meta_atleast_3d_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2655529Z test_dispatch_meta_atleast_3d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2655824Z test_dispatch_meta_atleast_3d_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2656119Z test_dispatch_meta_atleast_3d_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2656412Z test_dispatch_meta_baddbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2656702Z test_dispatch_meta_baddbmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2657007Z test_dispatch_meta_baddbmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2657308Z test_dispatch_meta_baddbmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2657709Z test_dispatch_meta_baddbmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2658004Z test_dispatch_meta_baddbmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2658296Z test_dispatch_meta_baddbmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2658590Z test_dispatch_meta_baddbmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2658867Z test_dispatch_meta_baddbmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2659159Z test_dispatch_meta_baddbmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2659502Z test_dispatch_meta_bernoulli_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2659796Z test_dispatch_meta_bernoulli_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2660092Z test_dispatch_meta_bernoulli_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2660390Z test_dispatch_meta_bfloat16_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2660681Z test_dispatch_meta_bfloat16_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2660967Z test_dispatch_meta_bfloat16_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2661270Z test_dispatch_meta_bfloat16_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2661575Z test_dispatch_meta_bfloat16_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2661867Z test_dispatch_meta_bfloat16_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2662165Z test_dispatch_meta_bfloat16_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2662459Z test_dispatch_meta_bfloat16_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2662751Z test_dispatch_meta_bfloat16_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2663032Z test_dispatch_meta_bfloat16_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2663316Z test_dispatch_meta_bfloat16_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2663605Z test_dispatch_meta_bfloat16_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2663883Z test_dispatch_meta_bfloat16_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2664172Z test_dispatch_meta_bincount_cpu_int16 (__main__.TestMetaCPU) ... ok (0.070s) 2022-12-01T10:23:49.2664456Z test_dispatch_meta_bincount_cpu_int32 (__main__.TestMetaCPU) ... ok (0.070s) 2022-12-01T10:23:49.2664747Z test_dispatch_meta_bincount_cpu_int64 (__main__.TestMetaCPU) ... ok (0.070s) 2022-12-01T10:23:49.2665029Z test_dispatch_meta_bincount_cpu_int8 (__main__.TestMetaCPU) ... ok (0.070s) 2022-12-01T10:23:49.2665317Z test_dispatch_meta_bincount_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.070s) 2022-12-01T10:23:49.2665608Z test_dispatch_meta_bitwise_and_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2665895Z test_dispatch_meta_bitwise_and_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2666193Z test_dispatch_meta_bitwise_and_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2666491Z test_dispatch_meta_bitwise_and_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2666818Z test_dispatch_meta_bitwise_and_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2667102Z test_dispatch_meta_bitwise_and_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2667408Z test_dispatch_meta_bitwise_left_shift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2667722Z test_dispatch_meta_bitwise_left_shift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2668019Z test_dispatch_meta_bitwise_left_shift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2668330Z test_dispatch_meta_bitwise_left_shift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2668670Z test_dispatch_meta_bitwise_left_shift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2668969Z test_dispatch_meta_bitwise_not_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2669254Z test_dispatch_meta_bitwise_not_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2669549Z test_dispatch_meta_bitwise_not_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2669843Z test_dispatch_meta_bitwise_not_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2670125Z test_dispatch_meta_bitwise_not_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2670446Z test_dispatch_meta_bitwise_not_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2670744Z test_dispatch_meta_bitwise_or_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2671036Z test_dispatch_meta_bitwise_or_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2671319Z test_dispatch_meta_bitwise_or_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2671606Z test_dispatch_meta_bitwise_or_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2671899Z test_dispatch_meta_bitwise_or_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2672180Z test_dispatch_meta_bitwise_or_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2672488Z test_dispatch_meta_bitwise_right_shift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2672802Z test_dispatch_meta_bitwise_right_shift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2673115Z test_dispatch_meta_bitwise_right_shift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2673411Z test_dispatch_meta_bitwise_right_shift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2673722Z test_dispatch_meta_bitwise_right_shift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2674028Z test_dispatch_meta_bitwise_xor_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2674307Z test_dispatch_meta_bitwise_xor_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2674605Z test_dispatch_meta_bitwise_xor_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2674900Z test_dispatch_meta_bitwise_xor_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2675194Z test_dispatch_meta_bitwise_xor_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2675476Z test_dispatch_meta_bitwise_xor_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2675775Z test_dispatch_meta_block_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2676073Z test_dispatch_meta_block_diag_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2676365Z test_dispatch_meta_block_diag_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2676678Z test_dispatch_meta_block_diag_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2676981Z test_dispatch_meta_block_diag_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2677281Z test_dispatch_meta_block_diag_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2677565Z test_dispatch_meta_block_diag_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2677856Z test_dispatch_meta_block_diag_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2678152Z test_dispatch_meta_block_diag_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2678445Z test_dispatch_meta_block_diag_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2678726Z test_dispatch_meta_block_diag_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2679009Z test_dispatch_meta_block_diag_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2679328Z test_dispatch_meta_block_diag_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2679605Z test_dispatch_meta_bmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2679886Z test_dispatch_meta_bmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2680169Z test_dispatch_meta_bmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2680445Z test_dispatch_meta_bmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2680730Z test_dispatch_meta_bmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2681039Z test_dispatch_meta_bmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2681320Z test_dispatch_meta_bmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2681586Z test_dispatch_meta_bmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2681862Z test_dispatch_meta_bmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2682141Z test_dispatch_meta_bmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2682410Z test_dispatch_meta_bool_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2682698Z test_dispatch_meta_bool_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2682989Z test_dispatch_meta_bool_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2683282Z test_dispatch_meta_bool_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2683565Z test_dispatch_meta_bool_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2683854Z test_dispatch_meta_bool_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2684143Z test_dispatch_meta_bool_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2684417Z test_dispatch_meta_bool_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2684696Z test_dispatch_meta_bool_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2684979Z test_dispatch_meta_bool_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2685255Z test_dispatch_meta_bool_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2685521Z test_dispatch_meta_bool_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2685804Z test_dispatch_meta_bool_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2686102Z test_dispatch_meta_broadcast_shapes_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2686410Z test_dispatch_meta_broadcast_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2686726Z test_dispatch_meta_broadcast_tensors_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2687247Z test_dispatch_meta_broadcast_tensors_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2687582Z test_dispatch_meta_broadcast_tensors_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2687891Z test_dispatch_meta_broadcast_tensors_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2688213Z test_dispatch_meta_broadcast_tensors_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2688531Z test_dispatch_meta_broadcast_tensors_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2688833Z test_dispatch_meta_broadcast_tensors_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2689150Z test_dispatch_meta_broadcast_tensors_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2689466Z test_dispatch_meta_broadcast_tensors_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2689778Z test_dispatch_meta_broadcast_tensors_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2690077Z test_dispatch_meta_broadcast_tensors_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2690385Z test_dispatch_meta_broadcast_to_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2690758Z test_dispatch_meta_broadcast_to_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2691056Z test_dispatch_meta_broadcast_to_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2691457Z test_dispatch_meta_broadcast_to_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2691771Z test_dispatch_meta_broadcast_to_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2692081Z test_dispatch_meta_broadcast_to_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2692421Z test_dispatch_meta_broadcast_to_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2692732Z test_dispatch_meta_broadcast_to_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2693035Z test_dispatch_meta_broadcast_to_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2693331Z test_dispatch_meta_broadcast_to_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2693617Z test_dispatch_meta_broadcast_to_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2693918Z test_dispatch_meta_broadcast_to_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2694214Z test_dispatch_meta_bucketize_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.285s) 2022-12-01T10:23:49.2694502Z test_dispatch_meta_bucketize_cpu_float16 (__main__.TestMetaCPU) ... ok (0.285s) 2022-12-01T10:23:49.2694801Z test_dispatch_meta_bucketize_cpu_float32 (__main__.TestMetaCPU) ... ok (0.285s) 2022-12-01T10:23:49.2695100Z test_dispatch_meta_bucketize_cpu_float64 (__main__.TestMetaCPU) ... ok (0.285s) 2022-12-01T10:23:49.2695396Z test_dispatch_meta_bucketize_cpu_int16 (__main__.TestMetaCPU) ... ok (0.285s) 2022-12-01T10:23:49.2695679Z test_dispatch_meta_bucketize_cpu_int32 (__main__.TestMetaCPU) ... ok (0.284s) 2022-12-01T10:23:49.2695971Z test_dispatch_meta_bucketize_cpu_int64 (__main__.TestMetaCPU) ... ok (0.284s) 2022-12-01T10:23:49.2696267Z test_dispatch_meta_bucketize_cpu_int8 (__main__.TestMetaCPU) ... ok (0.284s) 2022-12-01T10:23:49.2696548Z test_dispatch_meta_bucketize_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.284s) 2022-12-01T10:23:49.2696842Z test_dispatch_meta_byte_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2697130Z test_dispatch_meta_byte_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2697418Z test_dispatch_meta_byte_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2697698Z test_dispatch_meta_byte_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2697991Z test_dispatch_meta_byte_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2698280Z test_dispatch_meta_byte_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2698552Z test_dispatch_meta_byte_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2698840Z test_dispatch_meta_byte_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2699123Z test_dispatch_meta_byte_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2699386Z test_dispatch_meta_byte_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2699661Z test_dispatch_meta_byte_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2699942Z test_dispatch_meta_byte_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2700237Z test_dispatch_meta_cartesian_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2700537Z test_dispatch_meta_cartesian_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2700848Z test_dispatch_meta_cartesian_prod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2701170Z test_dispatch_meta_cartesian_prod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2701474Z test_dispatch_meta_cartesian_prod_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2701816Z test_dispatch_meta_cartesian_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2702128Z test_dispatch_meta_cartesian_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2702438Z test_dispatch_meta_cartesian_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2702730Z test_dispatch_meta_cartesian_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2703038Z test_dispatch_meta_cartesian_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2703372Z test_dispatch_meta_cartesian_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2703678Z test_dispatch_meta_cartesian_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2703962Z test_dispatch_meta_cat_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2704247Z test_dispatch_meta_cat_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2704539Z test_dispatch_meta_cat_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2704821Z test_dispatch_meta_cat_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2705113Z test_dispatch_meta_cat_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2705402Z test_dispatch_meta_cat_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2705673Z test_dispatch_meta_cat_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2705952Z test_dispatch_meta_cat_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2706238Z test_dispatch_meta_cat_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2706514Z test_dispatch_meta_cat_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2706781Z test_dispatch_meta_cat_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2707058Z test_dispatch_meta_cat_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2707336Z test_dispatch_meta_cat_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2707604Z test_dispatch_meta_cdist_cpu_float32 (__main__.TestMetaCPU) ... ok (0.129s) 2022-12-01T10:23:49.2707894Z test_dispatch_meta_cdist_cpu_float64 (__main__.TestMetaCPU) ... ok (0.143s) 2022-12-01T10:23:49.2708186Z test_dispatch_meta_ceil_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2708474Z test_dispatch_meta_ceil_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2708751Z test_dispatch_meta_ceil_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2709037Z test_dispatch_meta_ceil_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2709318Z test_dispatch_meta_ceil_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2709585Z test_dispatch_meta_ceil_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2709868Z test_dispatch_meta_ceil_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2710146Z test_dispatch_meta_ceil_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2710431Z test_dispatch_meta_chalf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2710706Z test_dispatch_meta_chalf_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2710991Z test_dispatch_meta_chalf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2711288Z test_dispatch_meta_chalf_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2711574Z test_dispatch_meta_chalf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2711862Z test_dispatch_meta_chalf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2712151Z test_dispatch_meta_chalf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2712437Z test_dispatch_meta_chalf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2712743Z test_dispatch_meta_chalf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2713027Z test_dispatch_meta_chalf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2713308Z test_dispatch_meta_chalf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2713576Z test_dispatch_meta_chalf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2713860Z test_dispatch_meta_chalf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2714148Z test_dispatch_meta_char_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2714463Z test_dispatch_meta_char_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2714740Z test_dispatch_meta_char_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2715035Z test_dispatch_meta_char_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2715331Z test_dispatch_meta_char_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2715614Z test_dispatch_meta_char_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2715898Z test_dispatch_meta_char_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2716180Z test_dispatch_meta_char_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2716446Z test_dispatch_meta_char_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2716725Z test_dispatch_meta_char_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2717009Z test_dispatch_meta_char_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2717293Z test_dispatch_meta_char_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2717566Z test_dispatch_meta_char_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2717865Z test_dispatch_meta_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.176s) 2022-12-01T10:23:49.2718267Z test_dispatch_meta_cholesky_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.176s) 2022-12-01T10:23:49.2718587Z test_dispatch_meta_cholesky_cpu_float32 (__main__.TestMetaCPU) ... ok (0.175s) 2022-12-01T10:23:49.2718888Z test_dispatch_meta_cholesky_cpu_float64 (__main__.TestMetaCPU) ... ok (0.175s) 2022-12-01T10:23:49.2719203Z test_dispatch_meta_cholesky_inverse_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.2719534Z test_dispatch_meta_cholesky_inverse_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.149s) 2022-12-01T10:23:49.2719842Z test_dispatch_meta_cholesky_inverse_cpu_float32 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.2720162Z test_dispatch_meta_cholesky_inverse_cpu_float64 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.2720483Z test_dispatch_meta_cholesky_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.182s) 2022-12-01T10:23:49.2720802Z test_dispatch_meta_cholesky_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.181s) 2022-12-01T10:23:49.2721102Z test_dispatch_meta_cholesky_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.181s) 2022-12-01T10:23:49.2721416Z test_dispatch_meta_cholesky_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.188s) 2022-12-01T10:23:49.2721718Z test_dispatch_meta_chunk_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2721994Z test_dispatch_meta_chunk_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2722286Z test_dispatch_meta_chunk_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2722583Z test_dispatch_meta_chunk_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2722881Z test_dispatch_meta_chunk_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2723164Z test_dispatch_meta_chunk_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2723453Z test_dispatch_meta_chunk_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2723781Z test_dispatch_meta_chunk_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2724052Z test_dispatch_meta_chunk_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2724335Z test_dispatch_meta_chunk_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2724611Z test_dispatch_meta_chunk_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2724877Z test_dispatch_meta_chunk_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2725160Z test_dispatch_meta_chunk_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2725451Z test_dispatch_meta_clamp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2725775Z test_dispatch_meta_clamp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2726057Z test_dispatch_meta_clamp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2726340Z test_dispatch_meta_clamp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2726623Z test_dispatch_meta_clamp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2726889Z test_dispatch_meta_clamp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2727321Z test_dispatch_meta_clamp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2727613Z test_dispatch_meta_clamp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2727914Z test_dispatch_meta_clamp_max_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2728204Z test_dispatch_meta_clamp_max_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2728507Z test_dispatch_meta_clamp_max_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2728876Z test_dispatch_meta_clamp_max_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2729277Z test_dispatch_meta_clamp_max_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2729580Z test_dispatch_meta_clamp_max_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2729880Z test_dispatch_meta_clamp_max_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2730174Z test_dispatch_meta_clamp_max_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2730455Z test_dispatch_meta_clamp_max_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2730747Z test_dispatch_meta_clamp_max_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2731045Z test_dispatch_meta_clamp_min_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2731411Z test_dispatch_meta_clamp_min_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2731716Z test_dispatch_meta_clamp_min_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2732017Z test_dispatch_meta_clamp_min_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2732319Z test_dispatch_meta_clamp_min_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2732606Z test_dispatch_meta_clamp_min_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2732900Z test_dispatch_meta_clamp_min_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2733198Z test_dispatch_meta_clamp_min_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2733481Z test_dispatch_meta_clamp_min_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2733780Z test_dispatch_meta_clamp_min_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2734077Z test_dispatch_meta_clone_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2734371Z test_dispatch_meta_clone_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2734656Z test_dispatch_meta_clone_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2734950Z test_dispatch_meta_clone_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2735333Z test_dispatch_meta_clone_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2735615Z test_dispatch_meta_clone_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2735908Z test_dispatch_meta_clone_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2736201Z test_dispatch_meta_clone_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2736491Z test_dispatch_meta_clone_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2736764Z test_dispatch_meta_clone_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2737051Z test_dispatch_meta_clone_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2737372Z test_dispatch_meta_clone_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2737644Z test_dispatch_meta_clone_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2737941Z test_dispatch_meta_column_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2738248Z test_dispatch_meta_column_stack_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2738553Z test_dispatch_meta_column_stack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2738852Z test_dispatch_meta_column_stack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2739162Z test_dispatch_meta_column_stack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2739469Z test_dispatch_meta_column_stack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2739761Z test_dispatch_meta_column_stack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2740059Z test_dispatch_meta_column_stack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2740362Z test_dispatch_meta_column_stack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2740657Z test_dispatch_meta_column_stack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2740941Z test_dispatch_meta_column_stack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2741240Z test_dispatch_meta_column_stack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2741538Z test_dispatch_meta_column_stack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2741830Z test_dispatch_meta_combinations_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.379s) 2022-12-01T10:23:49.2742139Z test_dispatch_meta_combinations_cpu_bool (__main__.TestMetaCPU) ... ok (0.387s) 2022-12-01T10:23:49.2742447Z test_dispatch_meta_combinations_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.378s) 2022-12-01T10:23:49.2742766Z test_dispatch_meta_combinations_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.378s) 2022-12-01T10:23:49.2743065Z test_dispatch_meta_combinations_cpu_float16 (__main__.TestMetaCPU) ... ok (0.379s) 2022-12-01T10:23:49.2743370Z test_dispatch_meta_combinations_cpu_float32 (__main__.TestMetaCPU) ... ok (0.377s) 2022-12-01T10:23:49.2743675Z test_dispatch_meta_combinations_cpu_float64 (__main__.TestMetaCPU) ... ok (0.378s) 2022-12-01T10:23:49.2743965Z test_dispatch_meta_combinations_cpu_int16 (__main__.TestMetaCPU) ... ok (0.378s) 2022-12-01T10:23:49.2744265Z test_dispatch_meta_combinations_cpu_int32 (__main__.TestMetaCPU) ... ok (0.378s) 2022-12-01T10:23:49.2744562Z test_dispatch_meta_combinations_cpu_int64 (__main__.TestMetaCPU) ... ok (0.380s) 2022-12-01T10:23:49.2744864Z test_dispatch_meta_combinations_cpu_int8 (__main__.TestMetaCPU) ... ok (0.378s) 2022-12-01T10:23:49.2745155Z test_dispatch_meta_combinations_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.379s) 2022-12-01T10:23:49.2745456Z test_dispatch_meta_complex_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2745753Z test_dispatch_meta_complex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2746038Z test_dispatch_meta_complex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2746394Z test_dispatch_meta_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2746681Z test_dispatch_meta_conj_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2746977Z test_dispatch_meta_conj_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2747259Z test_dispatch_meta_conj_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2747557Z test_dispatch_meta_conj_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2747857Z test_dispatch_meta_conj_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2748160Z test_dispatch_meta_conj_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2748444Z test_dispatch_meta_conj_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2748726Z test_dispatch_meta_conj_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2749009Z test_dispatch_meta_conj_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2749276Z test_dispatch_meta_conj_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2749559Z test_dispatch_meta_conj_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2749841Z test_dispatch_meta_conj_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2750126Z test_dispatch_meta_conj_physical_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2750434Z test_dispatch_meta_conj_physical_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2750745Z test_dispatch_meta_conj_physical_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2751064Z test_dispatch_meta_conj_physical_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2751365Z test_dispatch_meta_conj_physical_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2751676Z test_dispatch_meta_conj_physical_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2751983Z test_dispatch_meta_conj_physical_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2752267Z test_dispatch_meta_conj_physical_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2752568Z test_dispatch_meta_conj_physical_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2752868Z test_dispatch_meta_conj_physical_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2753165Z test_dispatch_meta_conj_physical_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2753450Z test_dispatch_meta_conj_physical_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2753761Z test_dispatch_meta_conj_physical_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2754069Z test_dispatch_meta_constant_pad_nd_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2754365Z test_dispatch_meta_constant_pad_nd_cpu_bool (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2754682Z test_dispatch_meta_constant_pad_nd_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.2755002Z test_dispatch_meta_constant_pad_nd_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.2755315Z test_dispatch_meta_constant_pad_nd_cpu_float16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2755615Z test_dispatch_meta_constant_pad_nd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2755924Z test_dispatch_meta_constant_pad_nd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2756234Z test_dispatch_meta_constant_pad_nd_cpu_int16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2756526Z test_dispatch_meta_constant_pad_nd_cpu_int32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2756826Z test_dispatch_meta_constant_pad_nd_cpu_int64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2757132Z test_dispatch_meta_constant_pad_nd_cpu_int8 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2757467Z test_dispatch_meta_constant_pad_nd_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2757760Z test_dispatch_meta_contiguous_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2758062Z test_dispatch_meta_contiguous_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2758366Z test_dispatch_meta_contiguous_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2758675Z test_dispatch_meta_contiguous_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2758995Z test_dispatch_meta_contiguous_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2759304Z test_dispatch_meta_contiguous_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2759604Z test_dispatch_meta_contiguous_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2759890Z test_dispatch_meta_contiguous_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2760196Z test_dispatch_meta_contiguous_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2760496Z test_dispatch_meta_contiguous_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2760794Z test_dispatch_meta_contiguous_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2761081Z test_dispatch_meta_contiguous_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2761379Z test_dispatch_meta_contiguous_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2761677Z test_dispatch_meta_copysign_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2761964Z test_dispatch_meta_copysign_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2762264Z test_dispatch_meta_copysign_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2762561Z test_dispatch_meta_copysign_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2762859Z test_dispatch_meta_copysign_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2763144Z test_dispatch_meta_copysign_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2763437Z test_dispatch_meta_copysign_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2763730Z test_dispatch_meta_copysign_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2764009Z test_dispatch_meta_copysign_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2764302Z test_dispatch_meta_copysign_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2764710Z test_dispatch_meta_corrcoef_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2765004Z test_dispatch_meta_corrcoef_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2765318Z test_dispatch_meta_corrcoef_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.058s) 2022-12-01T10:23:49.2765624Z test_dispatch_meta_corrcoef_cpu_float32 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2765924Z test_dispatch_meta_corrcoef_cpu_float64 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2766207Z test_dispatch_meta_corrcoef_cpu_int16 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2766506Z test_dispatch_meta_corrcoef_cpu_int32 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2766800Z test_dispatch_meta_corrcoef_cpu_int64 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2767234Z test_dispatch_meta_corrcoef_cpu_int8 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2767535Z test_dispatch_meta_corrcoef_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2767832Z test_dispatch_meta_cos_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2768124Z test_dispatch_meta_cos_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2768403Z test_dispatch_meta_cos_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2768754Z test_dispatch_meta_cos_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2769040Z test_dispatch_meta_cos_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2769314Z test_dispatch_meta_cos_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2769603Z test_dispatch_meta_cos_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2769887Z test_dispatch_meta_cos_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2770173Z test_dispatch_meta_cos_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2770476Z test_dispatch_meta_cos_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2770757Z test_dispatch_meta_cos_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2771042Z test_dispatch_meta_cosh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2771379Z test_dispatch_meta_cosh_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2771676Z test_dispatch_meta_cosh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2771978Z test_dispatch_meta_cosh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2772274Z test_dispatch_meta_cosh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2772553Z test_dispatch_meta_cosh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2772842Z test_dispatch_meta_cosh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2773130Z test_dispatch_meta_cosh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2773400Z test_dispatch_meta_cosh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2773683Z test_dispatch_meta_cosh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2773966Z test_dispatch_meta_cosh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2774267Z test_dispatch_meta_count_nonzero_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2774564Z test_dispatch_meta_count_nonzero_cpu_bool (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2774873Z test_dispatch_meta_count_nonzero_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2775186Z test_dispatch_meta_count_nonzero_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2775488Z test_dispatch_meta_count_nonzero_cpu_float16 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2775791Z test_dispatch_meta_count_nonzero_cpu_float32 (__main__.TestMetaCPU) ... ok (0.116s) 2022-12-01T10:23:49.2776093Z test_dispatch_meta_count_nonzero_cpu_float64 (__main__.TestMetaCPU) ... ok (0.116s) 2022-12-01T10:23:49.2776390Z test_dispatch_meta_count_nonzero_cpu_int16 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2776678Z test_dispatch_meta_count_nonzero_cpu_int32 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2776979Z test_dispatch_meta_count_nonzero_cpu_int64 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2777283Z test_dispatch_meta_count_nonzero_cpu_int8 (__main__.TestMetaCPU) ... ok (0.116s) 2022-12-01T10:23:49.2777569Z test_dispatch_meta_count_nonzero_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.116s) 2022-12-01T10:23:49.2777864Z test_dispatch_meta_cov_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.900s) 2022-12-01T10:23:49.2778159Z test_dispatch_meta_cov_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.902s) 2022-12-01T10:23:49.2778453Z test_dispatch_meta_cov_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.901s) 2022-12-01T10:23:49.2778732Z test_dispatch_meta_cov_cpu_float32 (__main__.TestMetaCPU) ... ok (0.897s) 2022-12-01T10:23:49.2779016Z test_dispatch_meta_cov_cpu_float64 (__main__.TestMetaCPU) ... ok (0.898s) 2022-12-01T10:23:49.2779295Z test_dispatch_meta_cov_cpu_int16 (__main__.TestMetaCPU) ... ok (0.897s) 2022-12-01T10:23:49.2779561Z test_dispatch_meta_cov_cpu_int32 (__main__.TestMetaCPU) ... ok (0.897s) 2022-12-01T10:23:49.2779877Z test_dispatch_meta_cov_cpu_int64 (__main__.TestMetaCPU) ... ok (0.897s) 2022-12-01T10:23:49.2780156Z test_dispatch_meta_cov_cpu_int8 (__main__.TestMetaCPU) ... ok (0.898s) 2022-12-01T10:23:49.2780435Z test_dispatch_meta_cov_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.898s) 2022-12-01T10:23:49.2780708Z test_dispatch_meta_cross_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2781005Z test_dispatch_meta_cross_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2781303Z test_dispatch_meta_cross_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2781616Z test_dispatch_meta_cross_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2781908Z test_dispatch_meta_cross_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2782195Z test_dispatch_meta_cross_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2782479Z test_dispatch_meta_cross_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2782746Z test_dispatch_meta_cross_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2783029Z test_dispatch_meta_cross_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2783315Z test_dispatch_meta_cross_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2783591Z test_dispatch_meta_cummax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2783878Z test_dispatch_meta_cummax_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2784162Z test_dispatch_meta_cummax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2784443Z test_dispatch_meta_cummax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2784733Z test_dispatch_meta_cummax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2785022Z test_dispatch_meta_cummax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2785306Z test_dispatch_meta_cummax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2785574Z test_dispatch_meta_cummax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2785856Z test_dispatch_meta_cummax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2786147Z test_dispatch_meta_cummin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2786426Z test_dispatch_meta_cummin_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2786714Z test_dispatch_meta_cummin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2787005Z test_dispatch_meta_cummin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2787295Z test_dispatch_meta_cummin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2787573Z test_dispatch_meta_cummin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2787853Z test_dispatch_meta_cummin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2788137Z test_dispatch_meta_cummin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2788408Z test_dispatch_meta_cummin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2788697Z test_dispatch_meta_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2789002Z test_dispatch_meta_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2789304Z test_dispatch_meta_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2789592Z test_dispatch_meta_cumprod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2789891Z test_dispatch_meta_cumprod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2790182Z test_dispatch_meta_cumprod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2790460Z test_dispatch_meta_cumprod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2790781Z test_dispatch_meta_cumprod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2791072Z test_dispatch_meta_cumprod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2791361Z test_dispatch_meta_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2791641Z test_dispatch_meta_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2791940Z test_dispatch_meta_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2792239Z test_dispatch_meta_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2792553Z test_dispatch_meta_cumsum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2792846Z test_dispatch_meta_cumsum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2793132Z test_dispatch_meta_cumsum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2793421Z test_dispatch_meta_cumsum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2793696Z test_dispatch_meta_cumsum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2793982Z test_dispatch_meta_cumsum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2794267Z test_dispatch_meta_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2794565Z test_dispatch_meta_cumulative_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2794900Z test_dispatch_meta_cumulative_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2795242Z test_dispatch_meta_cumulative_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2795580Z test_dispatch_meta_cumulative_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2795894Z test_dispatch_meta_cumulative_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2796216Z test_dispatch_meta_cumulative_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2796537Z test_dispatch_meta_cumulative_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2796843Z test_dispatch_meta_cumulative_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2797156Z test_dispatch_meta_cumulative_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2797476Z test_dispatch_meta_cumulative_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2797781Z test_dispatch_meta_deg2rad_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2798070Z test_dispatch_meta_deg2rad_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2798365Z test_dispatch_meta_deg2rad_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2798659Z test_dispatch_meta_deg2rad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2798944Z test_dispatch_meta_deg2rad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2799238Z test_dispatch_meta_deg2rad_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2799523Z test_dispatch_meta_deg2rad_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2799808Z test_dispatch_meta_deg2rad_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2800083Z test_dispatch_meta_deg2rad_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2800373Z test_dispatch_meta_deg2rad_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2800664Z test_dispatch_meta_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2800942Z test_dispatch_meta_diag_cpu_bool (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2801232Z test_dispatch_meta_diag_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2801530Z test_dispatch_meta_diag_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2801858Z test_dispatch_meta_diag_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2802132Z test_dispatch_meta_diag_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2802418Z test_dispatch_meta_diag_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2802701Z test_dispatch_meta_diag_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2802967Z test_dispatch_meta_diag_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2803242Z test_dispatch_meta_diag_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2803529Z test_dispatch_meta_diag_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2803855Z test_dispatch_meta_diag_embed_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2804149Z test_dispatch_meta_diag_embed_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2804455Z test_dispatch_meta_diag_embed_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2804769Z test_dispatch_meta_diag_embed_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2805064Z test_dispatch_meta_diag_embed_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2805373Z test_dispatch_meta_diag_embed_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2805675Z test_dispatch_meta_diag_embed_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2805969Z test_dispatch_meta_diag_embed_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2806254Z test_dispatch_meta_diag_embed_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2806545Z test_dispatch_meta_diag_embed_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2806841Z test_dispatch_meta_diag_embed_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2807281Z test_dispatch_meta_diag_embed_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2807588Z test_dispatch_meta_diag_embed_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2807890Z test_dispatch_meta_diagflat_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2808186Z test_dispatch_meta_diagflat_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2808476Z test_dispatch_meta_diagflat_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2808777Z test_dispatch_meta_diagflat_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2809075Z test_dispatch_meta_diagflat_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2809356Z test_dispatch_meta_diagflat_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2809643Z test_dispatch_meta_diagflat_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2809929Z test_dispatch_meta_diagflat_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2810217Z test_dispatch_meta_diagflat_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2810496Z test_dispatch_meta_diagflat_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2810783Z test_dispatch_meta_diagflat_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2811078Z test_dispatch_meta_diagonal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2811295Z test_dispatch_meta_diagonal_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2811430Z test_dispatch_meta_diagonal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2811574Z test_dispatch_meta_diagonal_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2811714Z test_dispatch_meta_diagonal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2811853Z test_dispatch_meta_diagonal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2811994Z test_dispatch_meta_diagonal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2812211Z test_dispatch_meta_diagonal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2812348Z test_dispatch_meta_diagonal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2812487Z test_dispatch_meta_diagonal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2812609Z test_dispatch_meta_diagonal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2812745Z test_dispatch_meta_diagonal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2812880Z test_dispatch_meta_diagonal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2813069Z test_dispatch_meta_diagonal_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2813221Z test_dispatch_meta_diagonal_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2813370Z test_dispatch_meta_diagonal_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2813526Z test_dispatch_meta_diagonal_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2813671Z test_dispatch_meta_diagonal_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2813817Z test_dispatch_meta_diagonal_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2813949Z test_dispatch_meta_diagonal_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2814095Z test_dispatch_meta_diagonal_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2814242Z test_dispatch_meta_diagonal_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2814386Z test_dispatch_meta_diagonal_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2814520Z test_dispatch_meta_diff_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.312s) 2022-12-01T10:23:49.2814651Z test_dispatch_meta_diff_cpu_bool (__main__.TestMetaCPU) ... ok (0.346s) 2022-12-01T10:23:49.2814795Z test_dispatch_meta_diff_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.325s) 2022-12-01T10:23:49.2814932Z test_dispatch_meta_diff_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.317s) 2022-12-01T10:23:49.2815053Z test_dispatch_meta_diff_cpu_float16 (__main__.TestMetaCPU) ... ok (0.314s) 2022-12-01T10:23:49.2815185Z test_dispatch_meta_diff_cpu_float32 (__main__.TestMetaCPU) ... ok (0.312s) 2022-12-01T10:23:49.2815315Z test_dispatch_meta_diff_cpu_float64 (__main__.TestMetaCPU) ... ok (0.312s) 2022-12-01T10:23:49.2815445Z test_dispatch_meta_diff_cpu_int16 (__main__.TestMetaCPU) ... ok (0.310s) 2022-12-01T10:23:49.2815576Z test_dispatch_meta_diff_cpu_int32 (__main__.TestMetaCPU) ... ok (0.310s) 2022-12-01T10:23:49.2815705Z test_dispatch_meta_diff_cpu_int64 (__main__.TestMetaCPU) ... ok (0.310s) 2022-12-01T10:23:49.2815835Z test_dispatch_meta_diff_cpu_int8 (__main__.TestMetaCPU) ... ok (0.310s) 2022-12-01T10:23:49.2815965Z test_dispatch_meta_diff_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.310s) 2022-12-01T10:23:49.2816093Z test_dispatch_meta_digamma_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2816227Z test_dispatch_meta_digamma_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2816363Z test_dispatch_meta_digamma_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2816499Z test_dispatch_meta_digamma_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2816634Z test_dispatch_meta_digamma_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2816767Z test_dispatch_meta_digamma_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2816901Z test_dispatch_meta_digamma_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2817036Z test_dispatch_meta_digamma_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2817155Z test_dispatch_meta_digamma_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2817320Z test_dispatch_meta_dist_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.2817456Z test_dispatch_meta_dist_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.2817592Z test_dispatch_meta_dist_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.2817724Z test_dispatch_meta_dist_cpu_float16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.2817856Z test_dispatch_meta_dist_cpu_float32 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.2817985Z test_dispatch_meta_dist_cpu_float64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.2818177Z test_dispatch_meta_div_floor_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2818316Z test_dispatch_meta_div_floor_rounding_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2818464Z test_dispatch_meta_div_floor_rounding_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2818614Z test_dispatch_meta_div_floor_rounding_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2818759Z test_dispatch_meta_div_floor_rounding_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2818905Z test_dispatch_meta_div_floor_rounding_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2819050Z test_dispatch_meta_div_floor_rounding_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2819192Z test_dispatch_meta_div_floor_rounding_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2819337Z test_dispatch_meta_div_floor_rounding_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2819479Z test_dispatch_meta_div_no_rounding_mode_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2819626Z test_dispatch_meta_div_no_rounding_mode_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2819782Z test_dispatch_meta_div_no_rounding_mode_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2819940Z test_dispatch_meta_div_no_rounding_mode_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2820088Z test_dispatch_meta_div_no_rounding_mode_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2820236Z test_dispatch_meta_div_no_rounding_mode_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2820381Z test_dispatch_meta_div_no_rounding_mode_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2820525Z test_dispatch_meta_div_no_rounding_mode_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2820673Z test_dispatch_meta_div_no_rounding_mode_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2820808Z test_dispatch_meta_div_no_rounding_mode_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2820952Z test_dispatch_meta_div_no_rounding_mode_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2821098Z test_dispatch_meta_div_no_rounding_mode_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2821247Z test_dispatch_meta_div_trunc_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2821390Z test_dispatch_meta_div_trunc_rounding_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2821534Z test_dispatch_meta_div_trunc_rounding_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2821675Z test_dispatch_meta_div_trunc_rounding_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2821819Z test_dispatch_meta_div_trunc_rounding_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2821965Z test_dispatch_meta_div_trunc_rounding_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2822093Z test_dispatch_meta_div_trunc_rounding_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2822238Z test_dispatch_meta_div_trunc_rounding_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2822413Z test_dispatch_meta_div_trunc_rounding_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2822547Z test_dispatch_meta_dot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2822683Z test_dispatch_meta_dot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2822820Z test_dispatch_meta_dot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2822953Z test_dispatch_meta_dot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2823084Z test_dispatch_meta_dot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2823231Z test_dispatch_meta_dot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2823361Z test_dispatch_meta_dot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2823488Z test_dispatch_meta_dot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2823619Z test_dispatch_meta_dot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2823744Z test_dispatch_meta_dot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2823883Z test_dispatch_meta_double_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824015Z test_dispatch_meta_double_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824157Z test_dispatch_meta_double_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824285Z test_dispatch_meta_double_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824424Z test_dispatch_meta_double_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824561Z test_dispatch_meta_double_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824694Z test_dispatch_meta_double_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824828Z test_dispatch_meta_double_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2824963Z test_dispatch_meta_double_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2825096Z test_dispatch_meta_double_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2825224Z test_dispatch_meta_double_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2825342Z test_dispatch_meta_double_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2825475Z test_dispatch_meta_double_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2825610Z test_dispatch_meta_dsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2825743Z test_dispatch_meta_dsplit_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2825883Z test_dispatch_meta_dsplit_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826020Z test_dispatch_meta_dsplit_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826157Z test_dispatch_meta_dsplit_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826295Z test_dispatch_meta_dsplit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826417Z test_dispatch_meta_dsplit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826553Z test_dispatch_meta_dsplit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826685Z test_dispatch_meta_dsplit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826817Z test_dispatch_meta_dsplit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2826948Z test_dispatch_meta_dsplit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2827081Z test_dispatch_meta_dsplit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2827211Z test_dispatch_meta_dsplit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2827349Z test_dispatch_meta_dstack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2827500Z test_dispatch_meta_dstack_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2827639Z test_dispatch_meta_dstack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2827778Z test_dispatch_meta_dstack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2827918Z test_dispatch_meta_dstack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828053Z test_dispatch_meta_dstack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828189Z test_dispatch_meta_dstack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828348Z test_dispatch_meta_dstack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828480Z test_dispatch_meta_dstack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828600Z test_dispatch_meta_dstack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828732Z test_dispatch_meta_dstack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828863Z test_dispatch_meta_dstack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2828992Z test_dispatch_meta_dstack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2829129Z test_dispatch_meta_einsum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2829267Z test_dispatch_meta_einsum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2829406Z test_dispatch_meta_einsum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2829539Z test_dispatch_meta_einsum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2829662Z test_dispatch_meta_einsum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2829794Z test_dispatch_meta_einsum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2829923Z test_dispatch_meta_einsum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2830051Z test_dispatch_meta_einsum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2830183Z test_dispatch_meta_einsum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2830316Z test_dispatch_meta_einsum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2830452Z test_dispatch_meta_empty_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2830586Z test_dispatch_meta_empty_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2830713Z test_dispatch_meta_empty_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2830853Z test_dispatch_meta_empty_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2830991Z test_dispatch_meta_empty_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2831126Z test_dispatch_meta_empty_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2831257Z test_dispatch_meta_empty_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2831393Z test_dispatch_meta_empty_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2831524Z test_dispatch_meta_empty_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2831654Z test_dispatch_meta_empty_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2831771Z test_dispatch_meta_empty_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2831902Z test_dispatch_meta_empty_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2832030Z test_dispatch_meta_empty_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2832172Z test_dispatch_meta_empty_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2832307Z test_dispatch_meta_empty_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2832453Z test_dispatch_meta_empty_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2832629Z test_dispatch_meta_empty_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2832774Z test_dispatch_meta_empty_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2832903Z test_dispatch_meta_empty_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2833039Z test_dispatch_meta_empty_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2833176Z test_dispatch_meta_empty_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2833317Z test_dispatch_meta_empty_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2833480Z test_dispatch_meta_empty_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2833619Z test_dispatch_meta_empty_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2833755Z test_dispatch_meta_empty_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2833894Z test_dispatch_meta_empty_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2834014Z test_dispatch_meta_eq_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2834144Z test_dispatch_meta_eq_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2834277Z test_dispatch_meta_eq_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2834410Z test_dispatch_meta_eq_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2834543Z test_dispatch_meta_eq_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2834673Z test_dispatch_meta_eq_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2834805Z test_dispatch_meta_eq_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2834932Z test_dispatch_meta_eq_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2835047Z test_dispatch_meta_eq_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2835176Z test_dispatch_meta_eq_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2835303Z test_dispatch_meta_eq_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2835430Z test_dispatch_meta_eq_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2835554Z test_dispatch_meta_eq_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2835689Z test_dispatch_meta_equal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2835818Z test_dispatch_meta_equal_cpu_bool (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2835958Z test_dispatch_meta_equal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836083Z test_dispatch_meta_equal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836217Z test_dispatch_meta_equal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836351Z test_dispatch_meta_equal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836481Z test_dispatch_meta_equal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836610Z test_dispatch_meta_equal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836740Z test_dispatch_meta_equal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836868Z test_dispatch_meta_equal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2836998Z test_dispatch_meta_equal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2837112Z test_dispatch_meta_equal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2837248Z test_dispatch_meta_erf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2837377Z test_dispatch_meta_erf_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2837500Z test_dispatch_meta_erf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2837628Z test_dispatch_meta_erf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2837789Z test_dispatch_meta_erf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2837916Z test_dispatch_meta_erf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2838041Z test_dispatch_meta_erf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2838155Z test_dispatch_meta_erf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2838282Z test_dispatch_meta_erf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2838413Z test_dispatch_meta_erfc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2838569Z test_dispatch_meta_erfc_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2838700Z test_dispatch_meta_erfc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2838828Z test_dispatch_meta_erfc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2838961Z test_dispatch_meta_erfc_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2839086Z test_dispatch_meta_erfc_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2839199Z test_dispatch_meta_erfc_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2839325Z test_dispatch_meta_erfc_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2839453Z test_dispatch_meta_erfc_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2839591Z test_dispatch_meta_erfinv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2839723Z test_dispatch_meta_erfinv_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2839856Z test_dispatch_meta_erfinv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2839988Z test_dispatch_meta_erfinv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2840118Z test_dispatch_meta_erfinv_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2840239Z test_dispatch_meta_erfinv_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2840366Z test_dispatch_meta_erfinv_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2840496Z test_dispatch_meta_erfinv_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2840625Z test_dispatch_meta_erfinv_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2840816Z test_dispatch_meta_exp2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2840943Z test_dispatch_meta_exp2_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841074Z test_dispatch_meta_exp2_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841202Z test_dispatch_meta_exp2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841323Z test_dispatch_meta_exp2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841450Z test_dispatch_meta_exp2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841580Z test_dispatch_meta_exp2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841706Z test_dispatch_meta_exp2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841830Z test_dispatch_meta_exp2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2841960Z test_dispatch_meta_exp2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2842092Z test_dispatch_meta_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2842222Z test_dispatch_meta_exp_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2842349Z test_dispatch_meta_exp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2842483Z test_dispatch_meta_exp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2842613Z test_dispatch_meta_exp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2842743Z test_dispatch_meta_exp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2842898Z test_dispatch_meta_exp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2843025Z test_dispatch_meta_exp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2843154Z test_dispatch_meta_exp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2843283Z test_dispatch_meta_exp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2843398Z test_dispatch_meta_exp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2843539Z test_dispatch_meta_expand_as_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2843700Z test_dispatch_meta_expand_as_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2843847Z test_dispatch_meta_expand_as_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2843987Z test_dispatch_meta_expand_as_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2844123Z test_dispatch_meta_expand_as_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2844262Z test_dispatch_meta_expand_as_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2844398Z test_dispatch_meta_expand_as_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2844523Z test_dispatch_meta_expand_as_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2844655Z test_dispatch_meta_expand_as_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2844787Z test_dispatch_meta_expand_as_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2844921Z test_dispatch_meta_expand_as_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2845051Z test_dispatch_meta_expand_as_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2845183Z test_dispatch_meta_expand_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2845312Z test_dispatch_meta_expand_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2845456Z test_dispatch_meta_expand_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2845584Z test_dispatch_meta_expand_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2845719Z test_dispatch_meta_expand_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2845852Z test_dispatch_meta_expand_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2845988Z test_dispatch_meta_expand_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2846118Z test_dispatch_meta_expand_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2846255Z test_dispatch_meta_expand_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2846384Z test_dispatch_meta_expand_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2846514Z test_dispatch_meta_expand_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2846641Z test_dispatch_meta_expand_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2846764Z test_dispatch_meta_expm1_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2846896Z test_dispatch_meta_expm1_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2847205Z test_dispatch_meta_expm1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2847342Z test_dispatch_meta_expm1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2847472Z test_dispatch_meta_expm1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2847601Z test_dispatch_meta_expm1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2847730Z test_dispatch_meta_expm1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2847860Z test_dispatch_meta_expm1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2847978Z test_dispatch_meta_expm1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2848177Z test_dispatch_meta_eye_cpu_bool (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2848313Z test_dispatch_meta_eye_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.2848446Z test_dispatch_meta_eye_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2848575Z test_dispatch_meta_eye_cpu_float16 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2848703Z test_dispatch_meta_eye_cpu_float32 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2848832Z test_dispatch_meta_eye_cpu_float64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2848999Z test_dispatch_meta_eye_cpu_int16 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2849116Z test_dispatch_meta_eye_cpu_int32 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2849241Z test_dispatch_meta_eye_cpu_int64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2849369Z test_dispatch_meta_eye_cpu_int8 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2849500Z test_dispatch_meta_eye_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.2849636Z test_dispatch_meta_fft_fft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2849776Z test_dispatch_meta_fft_fft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2849916Z test_dispatch_meta_fft_fft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2850051Z test_dispatch_meta_fft_fft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2850175Z test_dispatch_meta_fft_fft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.062s) 2022-12-01T10:23:49.2850304Z test_dispatch_meta_fft_fft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2850434Z test_dispatch_meta_fft_fft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2850564Z test_dispatch_meta_fft_fft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2850696Z test_dispatch_meta_fft_fft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2850827Z test_dispatch_meta_fft_fft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2850957Z test_dispatch_meta_fft_fft_cpu_bool (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2851094Z test_dispatch_meta_fft_fft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2851284Z test_dispatch_meta_fft_fft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2851417Z test_dispatch_meta_fft_fft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2851553Z test_dispatch_meta_fft_fft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2851684Z test_dispatch_meta_fft_fft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2851811Z test_dispatch_meta_fft_fft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2851944Z test_dispatch_meta_fft_fft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2852077Z test_dispatch_meta_fft_fft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2852208Z test_dispatch_meta_fft_fft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2852329Z test_dispatch_meta_fft_fftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2852470Z test_dispatch_meta_fft_fftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2852610Z test_dispatch_meta_fft_fftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2852745Z test_dispatch_meta_fft_fftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2852883Z test_dispatch_meta_fft_fftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2853016Z test_dispatch_meta_fft_fftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2853151Z test_dispatch_meta_fft_fftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2853317Z test_dispatch_meta_fft_fftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2853435Z test_dispatch_meta_fft_fftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2853567Z test_dispatch_meta_fft_fftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2853710Z test_dispatch_meta_fft_fftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2853847Z test_dispatch_meta_fft_fftshift_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2853993Z test_dispatch_meta_fft_fftshift_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2854167Z test_dispatch_meta_fft_fftshift_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2854312Z test_dispatch_meta_fft_fftshift_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2854449Z test_dispatch_meta_fft_fftshift_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2854578Z test_dispatch_meta_fft_fftshift_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2854707Z test_dispatch_meta_fft_fftshift_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2854842Z test_dispatch_meta_fft_fftshift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2854978Z test_dispatch_meta_fft_fftshift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2855110Z test_dispatch_meta_fft_fftshift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2855246Z test_dispatch_meta_fft_fftshift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2855382Z test_dispatch_meta_fft_fftshift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2855515Z test_dispatch_meta_fft_hfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2855645Z test_dispatch_meta_fft_hfft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2855788Z test_dispatch_meta_fft_hfft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2855921Z test_dispatch_meta_fft_hfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2856054Z test_dispatch_meta_fft_hfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2856183Z test_dispatch_meta_fft_hfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2856314Z test_dispatch_meta_fft_hfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2856446Z test_dispatch_meta_fft_hfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2856580Z test_dispatch_meta_fft_hfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2856710Z test_dispatch_meta_fft_hfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2856831Z test_dispatch_meta_fft_hfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2856969Z test_dispatch_meta_fft_hfft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2857109Z test_dispatch_meta_fft_hfft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2857242Z test_dispatch_meta_fft_hfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2857376Z test_dispatch_meta_fft_hfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2857507Z test_dispatch_meta_fft_hfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2857635Z test_dispatch_meta_fft_hfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2857766Z test_dispatch_meta_fft_hfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2857887Z test_dispatch_meta_fft_hfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2858014Z test_dispatch_meta_fft_hfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2858148Z test_dispatch_meta_fft_hfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2858319Z test_dispatch_meta_fft_hfftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2858462Z test_dispatch_meta_fft_hfftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2858599Z test_dispatch_meta_fft_hfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.2858738Z test_dispatch_meta_fft_hfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.2858872Z test_dispatch_meta_fft_hfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2858993Z test_dispatch_meta_fft_hfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2859185Z test_dispatch_meta_fft_hfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2859318Z test_dispatch_meta_fft_hfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2859449Z test_dispatch_meta_fft_hfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2859587Z test_dispatch_meta_fft_ifft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2859729Z test_dispatch_meta_fft_ifft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2859871Z test_dispatch_meta_fft_ifft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860009Z test_dispatch_meta_fft_ifft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860132Z test_dispatch_meta_fft_ifft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860266Z test_dispatch_meta_fft_ifft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860399Z test_dispatch_meta_fft_ifft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860533Z test_dispatch_meta_fft_ifft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860668Z test_dispatch_meta_fft_ifft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860803Z test_dispatch_meta_fft_ifft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2860935Z test_dispatch_meta_fft_ifft_cpu_bool (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2861076Z test_dispatch_meta_fft_ifft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2861205Z test_dispatch_meta_fft_ifft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2861343Z test_dispatch_meta_fft_ifft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2861479Z test_dispatch_meta_fft_ifft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2861615Z test_dispatch_meta_fft_ifft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2861748Z test_dispatch_meta_fft_ifft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2861882Z test_dispatch_meta_fft_ifft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2862015Z test_dispatch_meta_fft_ifft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2862149Z test_dispatch_meta_fft_ifft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2862267Z test_dispatch_meta_fft_ifftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2862413Z test_dispatch_meta_fft_ifftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2862555Z test_dispatch_meta_fft_ifftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2862689Z test_dispatch_meta_fft_ifftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2862825Z test_dispatch_meta_fft_ifftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2862961Z test_dispatch_meta_fft_ifftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2863095Z test_dispatch_meta_fft_ifftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2863229Z test_dispatch_meta_fft_ifftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2863378Z test_dispatch_meta_fft_ifftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2863510Z test_dispatch_meta_fft_ifftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.2863653Z test_dispatch_meta_fft_ifftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2863794Z test_dispatch_meta_fft_ifftshift_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2863941Z test_dispatch_meta_fft_ifftshift_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2864086Z test_dispatch_meta_fft_ifftshift_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2864252Z test_dispatch_meta_fft_ifftshift_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2864396Z test_dispatch_meta_fft_ifftshift_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2864531Z test_dispatch_meta_fft_ifftshift_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2864657Z test_dispatch_meta_fft_ifftshift_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2864797Z test_dispatch_meta_fft_ifftshift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2864930Z test_dispatch_meta_fft_ifftshift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2865068Z test_dispatch_meta_fft_ifftshift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2865206Z test_dispatch_meta_fft_ifftshift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2865341Z test_dispatch_meta_fft_ifftshift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2865477Z test_dispatch_meta_fft_ihfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2865613Z test_dispatch_meta_fft_ihfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2865735Z test_dispatch_meta_fft_ihfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2865869Z test_dispatch_meta_fft_ihfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2866005Z test_dispatch_meta_fft_ihfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2866140Z test_dispatch_meta_fft_ihfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.058s) 2022-12-01T10:23:49.2866273Z test_dispatch_meta_fft_ihfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.058s) 2022-12-01T10:23:49.2866405Z test_dispatch_meta_fft_ihfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.058s) 2022-12-01T10:23:49.2866537Z test_dispatch_meta_fft_ihfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2866678Z test_dispatch_meta_fft_ihfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2866801Z test_dispatch_meta_fft_ihfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2866933Z test_dispatch_meta_fft_ihfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2867065Z test_dispatch_meta_fft_ihfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2867198Z test_dispatch_meta_fft_ihfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2867330Z test_dispatch_meta_fft_ihfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2867461Z test_dispatch_meta_fft_ihfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2867591Z test_dispatch_meta_fft_ihfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2867728Z test_dispatch_meta_fft_ihfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2867851Z test_dispatch_meta_fft_ihfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2867986Z test_dispatch_meta_fft_ihfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2868120Z test_dispatch_meta_fft_ihfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2868254Z test_dispatch_meta_fft_ihfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2868417Z test_dispatch_meta_fft_ihfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2868548Z test_dispatch_meta_fft_ihfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.2868678Z test_dispatch_meta_fft_irfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2868823Z test_dispatch_meta_fft_irfft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2868955Z test_dispatch_meta_fft_irfft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2869088Z test_dispatch_meta_fft_irfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2869243Z test_dispatch_meta_fft_irfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2869378Z test_dispatch_meta_fft_irfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2869510Z test_dispatch_meta_fft_irfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2869645Z test_dispatch_meta_fft_irfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2869776Z test_dispatch_meta_fft_irfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2869904Z test_dispatch_meta_fft_irfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2870035Z test_dispatch_meta_fft_irfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2870164Z test_dispatch_meta_fft_irfft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2870304Z test_dispatch_meta_fft_irfft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2870444Z test_dispatch_meta_fft_irfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2870581Z test_dispatch_meta_fft_irfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2870713Z test_dispatch_meta_fft_irfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2870848Z test_dispatch_meta_fft_irfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2870982Z test_dispatch_meta_fft_irfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2871115Z test_dispatch_meta_fft_irfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2871235Z test_dispatch_meta_fft_irfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2871365Z test_dispatch_meta_fft_irfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2871507Z test_dispatch_meta_fft_irfftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2871649Z test_dispatch_meta_fft_irfftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2871789Z test_dispatch_meta_fft_irfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2871925Z test_dispatch_meta_fft_irfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2872059Z test_dispatch_meta_fft_irfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2872195Z test_dispatch_meta_fft_irfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2872316Z test_dispatch_meta_fft_irfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2872451Z test_dispatch_meta_fft_irfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2872581Z test_dispatch_meta_fft_irfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2872714Z test_dispatch_meta_fft_rfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.060s) 2022-12-01T10:23:49.2872848Z test_dispatch_meta_fft_rfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2872985Z test_dispatch_meta_fft_rfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2873116Z test_dispatch_meta_fft_rfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2873247Z test_dispatch_meta_fft_rfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.060s) 2022-12-01T10:23:49.2873395Z test_dispatch_meta_fft_rfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2873524Z test_dispatch_meta_fft_rfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2873652Z test_dispatch_meta_fft_rfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2873784Z test_dispatch_meta_fft_rfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2873919Z test_dispatch_meta_fft_rfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2874052Z test_dispatch_meta_fft_rfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2874212Z test_dispatch_meta_fft_rfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2874347Z test_dispatch_meta_fft_rfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2874468Z test_dispatch_meta_fft_rfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.2874600Z test_dispatch_meta_fft_rfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2874729Z test_dispatch_meta_fft_rfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2874862Z test_dispatch_meta_fft_rfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2874996Z test_dispatch_meta_fft_rfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2875131Z test_dispatch_meta_fft_rfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2875261Z test_dispatch_meta_fft_rfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2875393Z test_dispatch_meta_fft_rfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2875514Z test_dispatch_meta_fft_rfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2875644Z test_dispatch_meta_fft_rfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2875774Z test_dispatch_meta_fft_rfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.076s) 2022-12-01T10:23:49.2875910Z test_dispatch_meta_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876038Z test_dispatch_meta_fill_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876172Z test_dispatch_meta_fill_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876302Z test_dispatch_meta_fill_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876434Z test_dispatch_meta_fill_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876555Z test_dispatch_meta_fill_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876688Z test_dispatch_meta_fill_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876818Z test_dispatch_meta_fill_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2876948Z test_dispatch_meta_fill_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2877075Z test_dispatch_meta_fill_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2877200Z test_dispatch_meta_fill_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2877324Z test_dispatch_meta_fill_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2877453Z test_dispatch_meta_fill_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2877578Z test_dispatch_meta_flatten_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2877709Z test_dispatch_meta_flatten_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2877846Z test_dispatch_meta_flatten_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2877985Z test_dispatch_meta_flatten_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2878122Z test_dispatch_meta_flatten_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2878259Z test_dispatch_meta_flatten_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2878422Z test_dispatch_meta_flatten_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2878556Z test_dispatch_meta_flatten_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2878679Z test_dispatch_meta_flatten_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2878808Z test_dispatch_meta_flatten_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2878938Z test_dispatch_meta_flatten_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2879069Z test_dispatch_meta_flatten_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2879222Z test_dispatch_meta_flatten_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2879357Z test_dispatch_meta_flip_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2879484Z test_dispatch_meta_flip_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2879620Z test_dispatch_meta_flip_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2879756Z test_dispatch_meta_flip_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2879877Z test_dispatch_meta_flip_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880009Z test_dispatch_meta_flip_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880138Z test_dispatch_meta_flip_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880267Z test_dispatch_meta_flip_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880394Z test_dispatch_meta_flip_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880522Z test_dispatch_meta_flip_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880650Z test_dispatch_meta_flip_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880777Z test_dispatch_meta_flip_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2880903Z test_dispatch_meta_fliplr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881034Z test_dispatch_meta_fliplr_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881172Z test_dispatch_meta_fliplr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881311Z test_dispatch_meta_fliplr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881445Z test_dispatch_meta_fliplr_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881577Z test_dispatch_meta_fliplr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881717Z test_dispatch_meta_fliplr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881850Z test_dispatch_meta_fliplr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2881971Z test_dispatch_meta_fliplr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2882096Z test_dispatch_meta_fliplr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2882228Z test_dispatch_meta_fliplr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2882354Z test_dispatch_meta_fliplr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2882490Z test_dispatch_meta_flipud_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2882622Z test_dispatch_meta_flipud_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2882763Z test_dispatch_meta_flipud_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2882900Z test_dispatch_meta_flipud_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883025Z test_dispatch_meta_flipud_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883159Z test_dispatch_meta_flipud_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883291Z test_dispatch_meta_flipud_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883457Z test_dispatch_meta_flipud_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883590Z test_dispatch_meta_flipud_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883717Z test_dispatch_meta_flipud_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883848Z test_dispatch_meta_flipud_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2883976Z test_dispatch_meta_flipud_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2884097Z test_dispatch_meta_float_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2884252Z test_dispatch_meta_float_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2884426Z test_dispatch_meta_float_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2884561Z test_dispatch_meta_float_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2884695Z test_dispatch_meta_float_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2884832Z test_dispatch_meta_float_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2884964Z test_dispatch_meta_float_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2885096Z test_dispatch_meta_float_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2885215Z test_dispatch_meta_float_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2885346Z test_dispatch_meta_float_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2885471Z test_dispatch_meta_float_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2885599Z test_dispatch_meta_float_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2885726Z test_dispatch_meta_float_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2885867Z test_dispatch_meta_float_power_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2886006Z test_dispatch_meta_float_power_cpu_bool (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2886150Z test_dispatch_meta_float_power_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2886282Z test_dispatch_meta_float_power_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2886418Z test_dispatch_meta_float_power_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2886551Z test_dispatch_meta_float_power_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2886690Z test_dispatch_meta_float_power_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2886831Z test_dispatch_meta_float_power_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2887126Z test_dispatch_meta_float_power_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2887300Z test_dispatch_meta_float_power_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2887438Z test_dispatch_meta_float_power_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2887565Z test_dispatch_meta_float_power_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2887700Z test_dispatch_meta_floor_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2887831Z test_dispatch_meta_floor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2887965Z test_dispatch_meta_floor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2888095Z test_dispatch_meta_floor_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2888226Z test_dispatch_meta_floor_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2888359Z test_dispatch_meta_floor_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2888493Z test_dispatch_meta_floor_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2888611Z test_dispatch_meta_floor_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2888812Z test_dispatch_meta_floor_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.2888955Z test_dispatch_meta_floor_divide_cpu_float16 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2889096Z test_dispatch_meta_floor_divide_cpu_float32 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.2889233Z test_dispatch_meta_floor_divide_cpu_float64 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.2889376Z test_dispatch_meta_floor_divide_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2889513Z test_dispatch_meta_floor_divide_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2889680Z test_dispatch_meta_floor_divide_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2889807Z test_dispatch_meta_floor_divide_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2889954Z test_dispatch_meta_floor_divide_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2890091Z test_dispatch_meta_fmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2890223Z test_dispatch_meta_fmax_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2890359Z test_dispatch_meta_fmax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2890493Z test_dispatch_meta_fmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2890626Z test_dispatch_meta_fmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2890758Z test_dispatch_meta_fmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2890876Z test_dispatch_meta_fmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2891006Z test_dispatch_meta_fmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2891133Z test_dispatch_meta_fmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2891343Z test_dispatch_meta_fmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2891483Z test_dispatch_meta_fmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2891615Z test_dispatch_meta_fmin_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2891749Z test_dispatch_meta_fmin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2891882Z test_dispatch_meta_fmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2892001Z test_dispatch_meta_fmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2892130Z test_dispatch_meta_fmin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2892262Z test_dispatch_meta_fmin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2892389Z test_dispatch_meta_fmin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2892520Z test_dispatch_meta_fmin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2892649Z test_dispatch_meta_fmin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2892789Z test_dispatch_meta_fmod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2892923Z test_dispatch_meta_fmod_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2893043Z test_dispatch_meta_fmod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2893173Z test_dispatch_meta_fmod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2893303Z test_dispatch_meta_fmod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2893435Z test_dispatch_meta_fmod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2893568Z test_dispatch_meta_fmod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2893695Z test_dispatch_meta_fmod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2893823Z test_dispatch_meta_fmod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2893960Z test_dispatch_meta_frac_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2894111Z test_dispatch_meta_frac_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2894244Z test_dispatch_meta_frac_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2894377Z test_dispatch_meta_frac_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2894511Z test_dispatch_meta_frexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2894645Z test_dispatch_meta_frexp_cpu_float16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2894777Z test_dispatch_meta_frexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2894935Z test_dispatch_meta_frexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2895073Z test_dispatch_meta_full_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2895195Z test_dispatch_meta_full_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2895338Z test_dispatch_meta_full_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2895477Z test_dispatch_meta_full_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2895614Z test_dispatch_meta_full_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2895752Z test_dispatch_meta_full_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2895888Z test_dispatch_meta_full_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2896022Z test_dispatch_meta_full_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2896159Z test_dispatch_meta_full_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2896294Z test_dispatch_meta_full_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2896413Z test_dispatch_meta_full_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2896551Z test_dispatch_meta_full_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2896686Z test_dispatch_meta_gather_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2896818Z test_dispatch_meta_gather_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2896956Z test_dispatch_meta_gather_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2897095Z test_dispatch_meta_gather_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2897229Z test_dispatch_meta_gather_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2897368Z test_dispatch_meta_gather_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2897489Z test_dispatch_meta_gather_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2897622Z test_dispatch_meta_gather_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2897755Z test_dispatch_meta_gather_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2897888Z test_dispatch_meta_gather_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2898020Z test_dispatch_meta_gather_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2898149Z test_dispatch_meta_gather_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2898278Z test_dispatch_meta_gcd_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2898406Z test_dispatch_meta_gcd_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2898522Z test_dispatch_meta_gcd_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2898653Z test_dispatch_meta_gcd_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2898782Z test_dispatch_meta_gcd_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2898912Z test_dispatch_meta_ge_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2899040Z test_dispatch_meta_ge_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2899209Z test_dispatch_meta_ge_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2899338Z test_dispatch_meta_ge_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2899465Z test_dispatch_meta_ge_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2899580Z test_dispatch_meta_ge_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2899708Z test_dispatch_meta_ge_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2899832Z test_dispatch_meta_ge_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2899996Z test_dispatch_meta_ge_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2900126Z test_dispatch_meta_ge_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2900266Z test_dispatch_meta_geqrf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.206s) 2022-12-01T10:23:49.2900404Z test_dispatch_meta_geqrf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.206s) 2022-12-01T10:23:49.2900539Z test_dispatch_meta_geqrf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.204s) 2022-12-01T10:23:49.2900660Z test_dispatch_meta_geqrf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.204s) 2022-12-01T10:23:49.2900801Z test_dispatch_meta_gradient_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.2900943Z test_dispatch_meta_gradient_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.2901083Z test_dispatch_meta_gradient_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.125s) 2022-12-01T10:23:49.2901220Z test_dispatch_meta_gradient_cpu_float16 (__main__.TestMetaCPU) ... ok (0.125s) 2022-12-01T10:23:49.2901360Z test_dispatch_meta_gradient_cpu_float32 (__main__.TestMetaCPU) ... ok (0.125s) 2022-12-01T10:23:49.2901498Z test_dispatch_meta_gradient_cpu_float64 (__main__.TestMetaCPU) ... ok (0.124s) 2022-12-01T10:23:49.2901632Z test_dispatch_meta_gradient_cpu_int16 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.2901757Z test_dispatch_meta_gradient_cpu_int32 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.2901895Z test_dispatch_meta_gradient_cpu_int64 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.2902031Z test_dispatch_meta_gradient_cpu_int8 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.2902164Z test_dispatch_meta_gt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2902293Z test_dispatch_meta_gt_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2902426Z test_dispatch_meta_gt_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2902559Z test_dispatch_meta_gt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2902687Z test_dispatch_meta_gt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2902802Z test_dispatch_meta_gt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2902931Z test_dispatch_meta_gt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2903058Z test_dispatch_meta_gt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2903183Z test_dispatch_meta_gt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2903313Z test_dispatch_meta_gt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2903446Z test_dispatch_meta_half_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2903576Z test_dispatch_meta_half_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2903712Z test_dispatch_meta_half_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2903838Z test_dispatch_meta_half_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2903970Z test_dispatch_meta_half_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2904101Z test_dispatch_meta_half_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2904265Z test_dispatch_meta_half_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2904397Z test_dispatch_meta_half_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2904525Z test_dispatch_meta_half_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2904653Z test_dispatch_meta_half_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2904781Z test_dispatch_meta_half_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2904896Z test_dispatch_meta_half_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2905038Z test_dispatch_meta_heaviside_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2905200Z test_dispatch_meta_heaviside_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2905341Z test_dispatch_meta_heaviside_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2905479Z test_dispatch_meta_heaviside_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2905619Z test_dispatch_meta_heaviside_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2905755Z test_dispatch_meta_heaviside_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2905894Z test_dispatch_meta_heaviside_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2906018Z test_dispatch_meta_heaviside_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2906152Z test_dispatch_meta_heaviside_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2906286Z test_dispatch_meta_heaviside_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2906421Z test_dispatch_meta_histc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (1.084s) 2022-12-01T10:23:49.2906555Z test_dispatch_meta_histc_cpu_float32 (__main__.TestMetaCPU) ... ok (1.085s) 2022-12-01T10:23:49.2906688Z test_dispatch_meta_histc_cpu_float64 (__main__.TestMetaCPU) ... ok (1.087s) 2022-12-01T10:23:49.2906827Z test_dispatch_meta_histogram_cpu_float32 (__main__.TestMetaCPU) ... ok (0.838s) 2022-12-01T10:23:49.2906965Z test_dispatch_meta_histogram_cpu_float64 (__main__.TestMetaCPU) ... ok (0.838s) 2022-12-01T10:23:49.2907097Z test_dispatch_meta_histogramdd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.914s) 2022-12-01T10:23:49.2907236Z test_dispatch_meta_histogramdd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.912s) 2022-12-01T10:23:49.2907373Z test_dispatch_meta_hsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2907508Z test_dispatch_meta_hsplit_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2907647Z test_dispatch_meta_hsplit_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2907786Z test_dispatch_meta_hsplit_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2907926Z test_dispatch_meta_hsplit_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908062Z test_dispatch_meta_hsplit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908186Z test_dispatch_meta_hsplit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908321Z test_dispatch_meta_hsplit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908453Z test_dispatch_meta_hsplit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908584Z test_dispatch_meta_hsplit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908716Z test_dispatch_meta_hsplit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908849Z test_dispatch_meta_hsplit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2908981Z test_dispatch_meta_hsplit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2909118Z test_dispatch_meta_hstack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2909237Z test_dispatch_meta_hstack_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2909403Z test_dispatch_meta_hstack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2909542Z test_dispatch_meta_hstack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2909684Z test_dispatch_meta_hstack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2909818Z test_dispatch_meta_hstack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2909952Z test_dispatch_meta_hstack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2910086Z test_dispatch_meta_hstack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2910244Z test_dispatch_meta_hstack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2910364Z test_dispatch_meta_hstack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2910495Z test_dispatch_meta_hstack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2910623Z test_dispatch_meta_hstack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2910756Z test_dispatch_meta_hstack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2910890Z test_dispatch_meta_hypot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2911025Z test_dispatch_meta_hypot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2911160Z test_dispatch_meta_hypot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2911291Z test_dispatch_meta_i0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2911406Z test_dispatch_meta_i0_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2911539Z test_dispatch_meta_i0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2911670Z test_dispatch_meta_i0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2911796Z test_dispatch_meta_i0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2911921Z test_dispatch_meta_i0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2912048Z test_dispatch_meta_i0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2912176Z test_dispatch_meta_i0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2912302Z test_dispatch_meta_i0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2912431Z test_dispatch_meta_igamma_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2912565Z test_dispatch_meta_igamma_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2912698Z test_dispatch_meta_igamma_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2912835Z test_dispatch_meta_igamma_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2912973Z test_dispatch_meta_igammac_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2913109Z test_dispatch_meta_igammac_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2913247Z test_dispatch_meta_igammac_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2913383Z test_dispatch_meta_igammac_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2913506Z test_dispatch_meta_imag_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2913642Z test_dispatch_meta_imag_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2913779Z test_dispatch_meta_imag_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2913921Z test_dispatch_meta_index_add_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2914055Z test_dispatch_meta_index_add_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2914200Z test_dispatch_meta_index_add_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2914343Z test_dispatch_meta_index_add_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2914484Z test_dispatch_meta_index_add_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2914640Z test_dispatch_meta_index_add_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2914781Z test_dispatch_meta_index_add_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2914918Z test_dispatch_meta_index_add_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2915051Z test_dispatch_meta_index_add_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2915185Z test_dispatch_meta_index_add_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2915320Z test_dispatch_meta_index_add_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2915482Z test_dispatch_meta_index_add_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2915616Z test_dispatch_meta_index_add_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2915758Z test_dispatch_meta_index_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2915881Z test_dispatch_meta_index_copy_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916026Z test_dispatch_meta_index_copy_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916169Z test_dispatch_meta_index_copy_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916308Z test_dispatch_meta_index_copy_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916443Z test_dispatch_meta_index_copy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916575Z test_dispatch_meta_index_copy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916715Z test_dispatch_meta_index_copy_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916851Z test_dispatch_meta_index_copy_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2916975Z test_dispatch_meta_index_copy_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2917112Z test_dispatch_meta_index_copy_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2917248Z test_dispatch_meta_index_copy_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2917390Z test_dispatch_meta_index_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2917524Z test_dispatch_meta_index_fill_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2917669Z test_dispatch_meta_index_fill_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2917810Z test_dispatch_meta_index_fill_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2917949Z test_dispatch_meta_index_fill_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2918072Z test_dispatch_meta_index_fill_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2918204Z test_dispatch_meta_index_fill_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2918341Z test_dispatch_meta_index_fill_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2918476Z test_dispatch_meta_index_fill_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2918611Z test_dispatch_meta_index_fill_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2918745Z test_dispatch_meta_index_fill_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2918882Z test_dispatch_meta_index_fill_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2919021Z test_dispatch_meta_index_put_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2919147Z test_dispatch_meta_index_put_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2919289Z test_dispatch_meta_index_put_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2919431Z test_dispatch_meta_index_put_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2919610Z test_dispatch_meta_index_put_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2919748Z test_dispatch_meta_index_put_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2919884Z test_dispatch_meta_index_put_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2920023Z test_dispatch_meta_index_put_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2920157Z test_dispatch_meta_index_put_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2920279Z test_dispatch_meta_index_put_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2920443Z test_dispatch_meta_index_put_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2920579Z test_dispatch_meta_index_put_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2920711Z test_dispatch_meta_index_put_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2920854Z test_dispatch_meta_index_reduce_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.2921001Z test_dispatch_meta_index_reduce_cpu_float16 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.2921143Z test_dispatch_meta_index_reduce_cpu_float32 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.2921281Z test_dispatch_meta_index_reduce_cpu_float64 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.2921408Z test_dispatch_meta_index_reduce_cpu_int16 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2921544Z test_dispatch_meta_index_reduce_cpu_int32 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2921678Z test_dispatch_meta_index_reduce_cpu_int64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2921821Z test_dispatch_meta_index_reduce_cpu_int8 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2921960Z test_dispatch_meta_index_reduce_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.2922102Z test_dispatch_meta_index_select_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2922240Z test_dispatch_meta_index_select_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2922387Z test_dispatch_meta_index_select_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2922534Z test_dispatch_meta_index_select_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2922665Z test_dispatch_meta_index_select_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2922807Z test_dispatch_meta_index_select_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2922946Z test_dispatch_meta_index_select_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2923082Z test_dispatch_meta_index_select_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2923219Z test_dispatch_meta_index_select_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2923353Z test_dispatch_meta_index_select_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2923494Z test_dispatch_meta_index_select_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2923630Z test_dispatch_meta_index_select_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2923759Z test_dispatch_meta_index_select_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2923891Z test_dispatch_meta_inner_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2924031Z test_dispatch_meta_inner_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2924168Z test_dispatch_meta_inner_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2924304Z test_dispatch_meta_inner_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2924437Z test_dispatch_meta_inner_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2924568Z test_dispatch_meta_inner_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2924727Z test_dispatch_meta_inner_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2924842Z test_dispatch_meta_inner_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2924972Z test_dispatch_meta_inner_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2925104Z test_dispatch_meta_inner_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2925237Z test_dispatch_meta_int_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2925366Z test_dispatch_meta_int_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2925528Z test_dispatch_meta_int_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2925665Z test_dispatch_meta_int_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2925796Z test_dispatch_meta_int_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2925914Z test_dispatch_meta_int_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2926045Z test_dispatch_meta_int_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2926172Z test_dispatch_meta_int_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2926299Z test_dispatch_meta_int_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2926427Z test_dispatch_meta_int_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2926556Z test_dispatch_meta_int_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2926684Z test_dispatch_meta_int_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2926823Z test_dispatch_meta_isclose_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.070s) 2022-12-01T10:23:49.2927096Z test_dispatch_meta_isclose_cpu_bool (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2927256Z test_dispatch_meta_isclose_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.069s) 2022-12-01T10:23:49.2927400Z test_dispatch_meta_isclose_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.069s) 2022-12-01T10:23:49.2927542Z test_dispatch_meta_isclose_cpu_float16 (__main__.TestMetaCPU) ... ok (0.070s) 2022-12-01T10:23:49.2927678Z test_dispatch_meta_isclose_cpu_float32 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2927812Z test_dispatch_meta_isclose_cpu_float64 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2927948Z test_dispatch_meta_isclose_cpu_int16 (__main__.TestMetaCPU) ... ok (0.062s) 2022-12-01T10:23:49.2928082Z test_dispatch_meta_isclose_cpu_int32 (__main__.TestMetaCPU) ... ok (0.062s) 2022-12-01T10:23:49.2928199Z test_dispatch_meta_isclose_cpu_int64 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2928335Z test_dispatch_meta_isclose_cpu_int8 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2928471Z test_dispatch_meta_isclose_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.2928613Z test_dispatch_meta_isfinite_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2928748Z test_dispatch_meta_isfinite_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2928892Z test_dispatch_meta_isfinite_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2929038Z test_dispatch_meta_isfinite_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2929176Z test_dispatch_meta_isfinite_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2929301Z test_dispatch_meta_isfinite_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2929441Z test_dispatch_meta_isfinite_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2929581Z test_dispatch_meta_isfinite_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2929717Z test_dispatch_meta_isfinite_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2929852Z test_dispatch_meta_isfinite_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2930052Z test_dispatch_meta_isfinite_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2930189Z test_dispatch_meta_isfinite_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2930324Z test_dispatch_meta_isfinite_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2930445Z test_dispatch_meta_isin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2930581Z test_dispatch_meta_isin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2930711Z test_dispatch_meta_isin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2930843Z test_dispatch_meta_isin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2931010Z test_dispatch_meta_isin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2931143Z test_dispatch_meta_isin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2931351Z test_dispatch_meta_isin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2931494Z test_dispatch_meta_isinf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2931611Z test_dispatch_meta_isinf_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2931753Z test_dispatch_meta_isinf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2931893Z test_dispatch_meta_isinf_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2932032Z test_dispatch_meta_isinf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2932166Z test_dispatch_meta_isinf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2932303Z test_dispatch_meta_isinf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2932435Z test_dispatch_meta_isinf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2932566Z test_dispatch_meta_isinf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2932685Z test_dispatch_meta_isinf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2932819Z test_dispatch_meta_isinf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2932949Z test_dispatch_meta_isinf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.2933081Z test_dispatch_meta_isinf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2933217Z test_dispatch_meta_isnan_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2933347Z test_dispatch_meta_isnan_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2933491Z test_dispatch_meta_isnan_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2933630Z test_dispatch_meta_isnan_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2933766Z test_dispatch_meta_isnan_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2933888Z test_dispatch_meta_isnan_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934023Z test_dispatch_meta_isnan_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934156Z test_dispatch_meta_isnan_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934284Z test_dispatch_meta_isnan_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934411Z test_dispatch_meta_isnan_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934540Z test_dispatch_meta_isnan_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934670Z test_dispatch_meta_isnan_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934808Z test_dispatch_meta_isneginf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2934931Z test_dispatch_meta_isneginf_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2935069Z test_dispatch_meta_isneginf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2935208Z test_dispatch_meta_isneginf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2935377Z test_dispatch_meta_isneginf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2935513Z test_dispatch_meta_isneginf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2935647Z test_dispatch_meta_isneginf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2935780Z test_dispatch_meta_isneginf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2935912Z test_dispatch_meta_isneginf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2936031Z test_dispatch_meta_isneginf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2936198Z test_dispatch_meta_isposinf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2936334Z test_dispatch_meta_isposinf_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2936471Z test_dispatch_meta_isposinf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2936610Z test_dispatch_meta_isposinf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2936746Z test_dispatch_meta_isposinf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2936878Z test_dispatch_meta_isposinf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2937010Z test_dispatch_meta_isposinf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2937134Z test_dispatch_meta_isposinf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2937269Z test_dispatch_meta_isposinf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2937404Z test_dispatch_meta_isposinf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2937540Z test_dispatch_meta_isreal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2937673Z test_dispatch_meta_isreal_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2937813Z test_dispatch_meta_isreal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2937954Z test_dispatch_meta_isreal_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2938092Z test_dispatch_meta_isreal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2938212Z test_dispatch_meta_isreal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2938345Z test_dispatch_meta_isreal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2938476Z test_dispatch_meta_isreal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2938608Z test_dispatch_meta_isreal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2938742Z test_dispatch_meta_isreal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2938871Z test_dispatch_meta_isreal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2939002Z test_dispatch_meta_isreal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2939137Z test_dispatch_meta_isreal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2939262Z test_dispatch_meta_istft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.149s) 2022-12-01T10:23:49.2939398Z test_dispatch_meta_istft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.147s) 2022-12-01T10:23:49.2939530Z test_dispatch_meta_istft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.144s) 2022-12-01T10:23:49.2939663Z test_dispatch_meta_istft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.145s) 2022-12-01T10:23:49.2939845Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.125s) 2022-12-01T10:23:49.2940025Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2940213Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2940398Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2940623Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2940785Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2940967Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2941145Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2941342Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2941520Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2941698Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2941874Z test_dispatch_meta_jiterator_2inputs_2outputs_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2942064Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2942250Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2942427Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2942620Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2942806Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2942992Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2943174Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2943355Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2943535Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2943718Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2943900Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:23:49.2944079Z test_dispatch_meta_jiterator_4inputs_with_extra_args_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2944238Z test_dispatch_meta_jiterator_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2944405Z test_dispatch_meta_jiterator_binary_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2944578Z test_dispatch_meta_jiterator_binary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2944751Z test_dispatch_meta_jiterator_binary_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2944922Z test_dispatch_meta_jiterator_binary_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2945089Z test_dispatch_meta_jiterator_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2945255Z test_dispatch_meta_jiterator_binary_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2945443Z test_dispatch_meta_jiterator_binary_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2945611Z test_dispatch_meta_jiterator_binary_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2945772Z test_dispatch_meta_jiterator_binary_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2945923Z test_dispatch_meta_jiterator_binary_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2946090Z test_dispatch_meta_jiterator_binary_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2946292Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2946477Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2946664Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2946849Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2947030Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2947211Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2947394Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2947558Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2947736Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2947915Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2948091Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2948269Z test_dispatch_meta_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2948436Z test_dispatch_meta_jiterator_unary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2948601Z test_dispatch_meta_jiterator_unary_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2948773Z test_dispatch_meta_jiterator_unary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2948945Z test_dispatch_meta_jiterator_unary_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2949114Z test_dispatch_meta_jiterator_unary_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2949268Z test_dispatch_meta_jiterator_unary_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2949436Z test_dispatch_meta_jiterator_unary_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2949601Z test_dispatch_meta_jiterator_unary_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2949764Z test_dispatch_meta_jiterator_unary_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2949928Z test_dispatch_meta_jiterator_unary_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2950092Z test_dispatch_meta_jiterator_unary_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2950253Z test_dispatch_meta_jiterator_unary_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.2950414Z test_dispatch_meta_kron_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2950545Z test_dispatch_meta_kron_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2950671Z test_dispatch_meta_kron_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2950808Z test_dispatch_meta_kron_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2950942Z test_dispatch_meta_kron_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2951074Z test_dispatch_meta_kron_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2951227Z test_dispatch_meta_kron_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2951359Z test_dispatch_meta_kron_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2951488Z test_dispatch_meta_kron_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2951617Z test_dispatch_meta_kron_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2951734Z test_dispatch_meta_kron_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2951861Z test_dispatch_meta_kron_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2952001Z test_dispatch_meta_kthvalue_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2952140Z test_dispatch_meta_kthvalue_cpu_float32 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2952279Z test_dispatch_meta_kthvalue_cpu_float64 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.2952416Z test_dispatch_meta_kthvalue_cpu_int16 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2952553Z test_dispatch_meta_kthvalue_cpu_int32 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2952688Z test_dispatch_meta_kthvalue_cpu_int64 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2952812Z test_dispatch_meta_kthvalue_cpu_int8 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2952946Z test_dispatch_meta_kthvalue_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.2953074Z test_dispatch_meta_lcm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2953203Z test_dispatch_meta_lcm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2953331Z test_dispatch_meta_lcm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2953459Z test_dispatch_meta_lcm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2953586Z test_dispatch_meta_lcm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2953726Z test_dispatch_meta_ldexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2953846Z test_dispatch_meta_ldexp_cpu_bool (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2953985Z test_dispatch_meta_ldexp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2954125Z test_dispatch_meta_ldexp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2954260Z test_dispatch_meta_ldexp_cpu_float16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2954394Z test_dispatch_meta_ldexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2954525Z test_dispatch_meta_ldexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2954660Z test_dispatch_meta_ldexp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2954792Z test_dispatch_meta_ldexp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2954911Z test_dispatch_meta_ldexp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2955048Z test_dispatch_meta_ldexp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2955178Z test_dispatch_meta_ldexp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2955307Z test_dispatch_meta_le_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2955469Z test_dispatch_meta_le_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2955599Z test_dispatch_meta_le_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2955725Z test_dispatch_meta_le_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2955854Z test_dispatch_meta_le_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2955970Z test_dispatch_meta_le_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2956096Z test_dispatch_meta_le_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2956241Z test_dispatch_meta_le_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2956371Z test_dispatch_meta_le_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2956496Z test_dispatch_meta_le_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2956630Z test_dispatch_meta_lerp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2956771Z test_dispatch_meta_lerp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2956913Z test_dispatch_meta_lerp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2957035Z test_dispatch_meta_lerp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2957169Z test_dispatch_meta_lerp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2957308Z test_dispatch_meta_lgamma_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2957443Z test_dispatch_meta_lgamma_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2957580Z test_dispatch_meta_lgamma_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2957718Z test_dispatch_meta_lgamma_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2957850Z test_dispatch_meta_lgamma_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2957985Z test_dispatch_meta_lgamma_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2958102Z test_dispatch_meta_lgamma_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2958238Z test_dispatch_meta_lgamma_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2958372Z test_dispatch_meta_lgamma_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2958523Z test_dispatch_meta_linalg_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.2958673Z test_dispatch_meta_linalg_cholesky_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2958823Z test_dispatch_meta_linalg_cholesky_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2958969Z test_dispatch_meta_linalg_cholesky_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2959146Z test_dispatch_meta_linalg_cholesky_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2959288Z test_dispatch_meta_linalg_cholesky_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2959436Z test_dispatch_meta_linalg_cholesky_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2959585Z test_dispatch_meta_linalg_cholesky_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2959731Z test_dispatch_meta_linalg_cond_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2959876Z test_dispatch_meta_linalg_cond_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2960019Z test_dispatch_meta_linalg_cond_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2960161Z test_dispatch_meta_linalg_cond_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2960301Z test_dispatch_meta_linalg_cross_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2960433Z test_dispatch_meta_linalg_cross_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2960608Z test_dispatch_meta_linalg_cross_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2960750Z test_dispatch_meta_linalg_cross_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2960889Z test_dispatch_meta_linalg_cross_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2961027Z test_dispatch_meta_linalg_cross_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2961163Z test_dispatch_meta_linalg_cross_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2961296Z test_dispatch_meta_linalg_cross_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2961454Z test_dispatch_meta_linalg_cross_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2961595Z test_dispatch_meta_linalg_cross_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2961727Z test_dispatch_meta_linalg_det_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2961871Z test_dispatch_meta_linalg_det_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2962010Z test_dispatch_meta_linalg_det_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2962146Z test_dispatch_meta_linalg_det_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2962300Z test_dispatch_meta_linalg_det_singular_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.2962454Z test_dispatch_meta_linalg_det_singular_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2962604Z test_dispatch_meta_linalg_det_singular_cpu_float32 (__main__.TestMetaCPU) ... ok (0.037s) 2022-12-01T10:23:49.2962756Z test_dispatch_meta_linalg_det_singular_cpu_float64 (__main__.TestMetaCPU) ... ok (0.037s) 2022-12-01T10:23:49.2962890Z test_dispatch_meta_linalg_eig_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.048s) 2022-12-01T10:23:49.2963031Z test_dispatch_meta_linalg_eig_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.2963172Z test_dispatch_meta_linalg_eig_cpu_float32 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.2963308Z test_dispatch_meta_linalg_eig_cpu_float64 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.2963460Z test_dispatch_meta_linalg_eigh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2963602Z test_dispatch_meta_linalg_eigh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2963743Z test_dispatch_meta_linalg_eigh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2963880Z test_dispatch_meta_linalg_eigh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2964017Z test_dispatch_meta_linalg_eigvals_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.2964166Z test_dispatch_meta_linalg_eigvals_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.2964312Z test_dispatch_meta_linalg_eigvals_cpu_float32 (__main__.TestMetaCPU) ... ok (0.158s) 2022-12-01T10:23:49.2964458Z test_dispatch_meta_linalg_eigvals_cpu_float64 (__main__.TestMetaCPU) ... ok (0.157s) 2022-12-01T10:23:49.2964609Z test_dispatch_meta_linalg_eigvalsh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.2964758Z test_dispatch_meta_linalg_eigvalsh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2964906Z test_dispatch_meta_linalg_eigvalsh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2965050Z test_dispatch_meta_linalg_eigvalsh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2965220Z test_dispatch_meta_linalg_householder_product_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.092s) 2022-12-01T10:23:49.2965379Z test_dispatch_meta_linalg_householder_product_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.092s) 2022-12-01T10:23:49.2965540Z test_dispatch_meta_linalg_householder_product_cpu_float32 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.2965724Z test_dispatch_meta_linalg_householder_product_cpu_float64 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.2965868Z test_dispatch_meta_linalg_inv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2966010Z test_dispatch_meta_linalg_inv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2966150Z test_dispatch_meta_linalg_inv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2966291Z test_dispatch_meta_linalg_inv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2966441Z test_dispatch_meta_linalg_inv_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2966594Z test_dispatch_meta_linalg_inv_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2966738Z test_dispatch_meta_linalg_inv_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2966874Z test_dispatch_meta_linalg_inv_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2967214Z test_dispatch_meta_linalg_ldl_factor_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2967392Z test_dispatch_meta_linalg_ldl_factor_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2967542Z test_dispatch_meta_linalg_ldl_factor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2967693Z test_dispatch_meta_linalg_ldl_factor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2967853Z test_dispatch_meta_linalg_ldl_factor_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2968012Z test_dispatch_meta_linalg_ldl_factor_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2968152Z test_dispatch_meta_linalg_ldl_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2968307Z test_dispatch_meta_linalg_ldl_factor_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2968461Z test_dispatch_meta_linalg_ldl_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.2968614Z test_dispatch_meta_linalg_ldl_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.2968763Z test_dispatch_meta_linalg_ldl_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2968910Z test_dispatch_meta_linalg_ldl_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2969057Z test_dispatch_meta_linalg_lstsq_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.251s) 2022-12-01T10:23:49.2969206Z test_dispatch_meta_linalg_lstsq_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.251s) 2022-12-01T10:23:49.2969337Z test_dispatch_meta_linalg_lstsq_cpu_float32 (__main__.TestMetaCPU) ... ok (0.250s) 2022-12-01T10:23:49.2969483Z test_dispatch_meta_linalg_lstsq_cpu_float64 (__main__.TestMetaCPU) ... ok (0.249s) 2022-12-01T10:23:49.2969649Z test_dispatch_meta_linalg_lstsq_grad_oriented_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.252s) 2022-12-01T10:23:49.2969816Z test_dispatch_meta_linalg_lstsq_grad_oriented_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.252s) 2022-12-01T10:23:49.2969977Z test_dispatch_meta_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestMetaCPU) ... ok (0.250s) 2022-12-01T10:23:49.2970130Z test_dispatch_meta_linalg_lstsq_grad_oriented_cpu_float64 (__main__.TestMetaCPU) ... ok (0.250s) 2022-12-01T10:23:49.2970273Z test_dispatch_meta_linalg_lu_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.2970416Z test_dispatch_meta_linalg_lu_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2970556Z test_dispatch_meta_linalg_lu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2970685Z test_dispatch_meta_linalg_lu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2970836Z test_dispatch_meta_linalg_lu_factor_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2970985Z test_dispatch_meta_linalg_lu_factor_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2971189Z test_dispatch_meta_linalg_lu_factor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2971404Z test_dispatch_meta_linalg_lu_factor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2971561Z test_dispatch_meta_linalg_lu_factor_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2971715Z test_dispatch_meta_linalg_lu_factor_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2971864Z test_dispatch_meta_linalg_lu_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2972032Z test_dispatch_meta_linalg_lu_factor_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2972184Z test_dispatch_meta_linalg_lu_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2972333Z test_dispatch_meta_linalg_lu_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2972480Z test_dispatch_meta_linalg_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.102s) 2022-12-01T10:23:49.2972629Z test_dispatch_meta_linalg_lu_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.102s) 2022-12-01T10:23:49.2972784Z test_dispatch_meta_linalg_matrix_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.2972939Z test_dispatch_meta_linalg_matrix_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.131s) 2022-12-01T10:23:49.2973091Z test_dispatch_meta_linalg_matrix_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.131s) 2022-12-01T10:23:49.2973240Z test_dispatch_meta_linalg_matrix_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.2973374Z test_dispatch_meta_linalg_matrix_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.128s) 2022-12-01T10:23:49.2973521Z test_dispatch_meta_linalg_matrix_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.128s) 2022-12-01T10:23:49.2973676Z test_dispatch_meta_linalg_matrix_power_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.2973831Z test_dispatch_meta_linalg_matrix_power_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.2973979Z test_dispatch_meta_linalg_matrix_power_cpu_float32 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.2974130Z test_dispatch_meta_linalg_matrix_power_cpu_float64 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.2974284Z test_dispatch_meta_linalg_matrix_rank_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.211s) 2022-12-01T10:23:49.2974437Z test_dispatch_meta_linalg_matrix_rank_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.212s) 2022-12-01T10:23:49.2974573Z test_dispatch_meta_linalg_matrix_rank_cpu_float32 (__main__.TestMetaCPU) ... ok (0.208s) 2022-12-01T10:23:49.2974719Z test_dispatch_meta_linalg_matrix_rank_cpu_float64 (__main__.TestMetaCPU) ... ok (0.206s) 2022-12-01T10:23:49.2974885Z test_dispatch_meta_linalg_matrix_rank_hermitian_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2975051Z test_dispatch_meta_linalg_matrix_rank_hermitian_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2975214Z test_dispatch_meta_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2975372Z test_dispatch_meta_linalg_matrix_rank_hermitian_cpu_float64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.2975519Z test_dispatch_meta_linalg_multi_dot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2975669Z test_dispatch_meta_linalg_multi_dot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2975821Z test_dispatch_meta_linalg_multi_dot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2975955Z test_dispatch_meta_linalg_multi_dot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2976100Z test_dispatch_meta_linalg_multi_dot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2976269Z test_dispatch_meta_linalg_multi_dot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2976411Z test_dispatch_meta_linalg_multi_dot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2976551Z test_dispatch_meta_linalg_multi_dot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2976695Z test_dispatch_meta_linalg_multi_dot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2976838Z test_dispatch_meta_linalg_multi_dot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2976980Z test_dispatch_meta_linalg_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.077s) 2022-12-01T10:23:49.2977133Z test_dispatch_meta_linalg_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.138s) 2022-12-01T10:23:49.2977282Z test_dispatch_meta_linalg_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.138s) 2022-12-01T10:23:49.2977422Z test_dispatch_meta_linalg_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.077s) 2022-12-01T10:23:49.2977560Z test_dispatch_meta_linalg_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.2977694Z test_dispatch_meta_linalg_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.2977862Z test_dispatch_meta_linalg_norm_subgradients_at_zero_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2978033Z test_dispatch_meta_linalg_norm_subgradients_at_zero_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.095s) 2022-12-01T10:23:49.2978202Z test_dispatch_meta_linalg_norm_subgradients_at_zero_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.094s) 2022-12-01T10:23:49.2978369Z test_dispatch_meta_linalg_norm_subgradients_at_zero_cpu_float16 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.2978522Z test_dispatch_meta_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestMetaCPU) ... ok (0.095s) 2022-12-01T10:23:49.2978686Z test_dispatch_meta_linalg_norm_subgradients_at_zero_cpu_float64 (__main__.TestMetaCPU) ... ok (0.095s) 2022-12-01T10:23:49.2978832Z test_dispatch_meta_linalg_pinv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.2978977Z test_dispatch_meta_linalg_pinv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.2979119Z test_dispatch_meta_linalg_pinv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2979257Z test_dispatch_meta_linalg_pinv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2979417Z test_dispatch_meta_linalg_pinv_hermitian_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2979574Z test_dispatch_meta_linalg_pinv_hermitian_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.2979718Z test_dispatch_meta_linalg_pinv_hermitian_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2979872Z test_dispatch_meta_linalg_pinv_hermitian_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2980105Z test_dispatch_meta_linalg_pinv_singular_cpu_complex128 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.2980328Z test_dispatch_meta_linalg_pinv_singular_cpu_complex64 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.2980544Z test_dispatch_meta_linalg_pinv_singular_cpu_float32 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.2980759Z test_dispatch_meta_linalg_pinv_singular_cpu_float64 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.2980904Z test_dispatch_meta_linalg_qr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2981046Z test_dispatch_meta_linalg_qr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.2981184Z test_dispatch_meta_linalg_qr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.2981347Z test_dispatch_meta_linalg_qr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.2981482Z test_dispatch_meta_linalg_slogdet_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2981631Z test_dispatch_meta_linalg_slogdet_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2981776Z test_dispatch_meta_linalg_slogdet_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2981919Z test_dispatch_meta_linalg_slogdet_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.2982065Z test_dispatch_meta_linalg_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.049s) 2022-12-01T10:23:49.2982249Z test_dispatch_meta_linalg_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.048s) 2022-12-01T10:23:49.2982395Z test_dispatch_meta_linalg_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.2982536Z test_dispatch_meta_linalg_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.2982674Z test_dispatch_meta_linalg_solve_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2982821Z test_dispatch_meta_linalg_solve_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2982965Z test_dispatch_meta_linalg_solve_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.2983109Z test_dispatch_meta_linalg_solve_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.2983270Z test_dispatch_meta_linalg_solve_triangular_cpu_complex128 (__main__.TestMetaCPU) ... ok (1.766s) 2022-12-01T10:23:49.2983431Z test_dispatch_meta_linalg_solve_triangular_cpu_complex64 (__main__.TestMetaCPU) ... ok (1.766s) 2022-12-01T10:23:49.2983588Z test_dispatch_meta_linalg_solve_triangular_cpu_float32 (__main__.TestMetaCPU) ... ok (1.760s) 2022-12-01T10:23:49.2983744Z test_dispatch_meta_linalg_solve_triangular_cpu_float64 (__main__.TestMetaCPU) ... ok (1.759s) 2022-12-01T10:23:49.2983892Z test_dispatch_meta_linalg_svd_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.124s) 2022-12-01T10:23:49.2984024Z test_dispatch_meta_linalg_svd_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.125s) 2022-12-01T10:23:49.2984165Z test_dispatch_meta_linalg_svd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2984299Z test_dispatch_meta_linalg_svd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.114s) 2022-12-01T10:23:49.2984445Z test_dispatch_meta_linalg_svdvals_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.2984592Z test_dispatch_meta_linalg_svdvals_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.2984739Z test_dispatch_meta_linalg_svdvals_cpu_float32 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.2984885Z test_dispatch_meta_linalg_svdvals_cpu_float64 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.2985038Z test_dispatch_meta_linalg_tensorinv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.2985176Z test_dispatch_meta_linalg_tensorinv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2985323Z test_dispatch_meta_linalg_tensorinv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2985466Z test_dispatch_meta_linalg_tensorinv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.2985620Z test_dispatch_meta_linalg_tensorsolve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.2985771Z test_dispatch_meta_linalg_tensorsolve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.2985920Z test_dispatch_meta_linalg_tensorsolve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2986070Z test_dispatch_meta_linalg_tensorsolve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2986217Z test_dispatch_meta_linalg_vander_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2986364Z test_dispatch_meta_linalg_vander_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.2986523Z test_dispatch_meta_linalg_vander_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2986661Z test_dispatch_meta_linalg_vander_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2986805Z test_dispatch_meta_linalg_vander_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2986947Z test_dispatch_meta_linalg_vander_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2987084Z test_dispatch_meta_linalg_vander_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2987222Z test_dispatch_meta_linalg_vander_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2987378Z test_dispatch_meta_linalg_vander_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.2987524Z test_dispatch_meta_linalg_vecdot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.2987660Z test_dispatch_meta_linalg_vecdot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.2987810Z test_dispatch_meta_linalg_vecdot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.2987953Z test_dispatch_meta_linalg_vecdot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.2988095Z test_dispatch_meta_linalg_vecdot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.2988243Z test_dispatch_meta_linalg_vector_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.2988394Z test_dispatch_meta_linalg_vector_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.117s) 2022-12-01T10:23:49.2988548Z test_dispatch_meta_linalg_vector_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.117s) 2022-12-01T10:23:49.2988695Z test_dispatch_meta_linalg_vector_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.114s) 2022-12-01T10:23:49.2988830Z test_dispatch_meta_linalg_vector_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.114s) 2022-12-01T10:23:49.2988975Z test_dispatch_meta_linalg_vector_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.114s) 2022-12-01T10:23:49.2989117Z test_dispatch_meta_linspace_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2989260Z test_dispatch_meta_linspace_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2989402Z test_dispatch_meta_linspace_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2989542Z test_dispatch_meta_linspace_cpu_float16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2989682Z test_dispatch_meta_linspace_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2989824Z test_dispatch_meta_linspace_cpu_float64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2989961Z test_dispatch_meta_linspace_cpu_int16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2990084Z test_dispatch_meta_linspace_cpu_int32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2990220Z test_dispatch_meta_linspace_cpu_int64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2990358Z test_dispatch_meta_linspace_cpu_int8 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.2990491Z test_dispatch_meta_linspace_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.2990622Z test_dispatch_meta_log10_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2990783Z test_dispatch_meta_log10_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2990980Z test_dispatch_meta_log10_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2991119Z test_dispatch_meta_log10_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2991241Z test_dispatch_meta_log10_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2991375Z test_dispatch_meta_log10_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2991506Z test_dispatch_meta_log10_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2991683Z test_dispatch_meta_log10_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2991811Z test_dispatch_meta_log10_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2991941Z test_dispatch_meta_log10_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2992067Z test_dispatch_meta_log10_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2992204Z test_dispatch_meta_log1p_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2992324Z test_dispatch_meta_log1p_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2992478Z test_dispatch_meta_log1p_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2992614Z test_dispatch_meta_log1p_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2992746Z test_dispatch_meta_log1p_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2992875Z test_dispatch_meta_log1p_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2993007Z test_dispatch_meta_log1p_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2993140Z test_dispatch_meta_log1p_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2993268Z test_dispatch_meta_log1p_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2993387Z test_dispatch_meta_log2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2993518Z test_dispatch_meta_log2_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2993658Z test_dispatch_meta_log2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2993799Z test_dispatch_meta_log2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2993936Z test_dispatch_meta_log2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2994070Z test_dispatch_meta_log2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2994201Z test_dispatch_meta_log2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2994332Z test_dispatch_meta_log2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2994447Z test_dispatch_meta_log2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2994573Z test_dispatch_meta_log2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2994702Z test_dispatch_meta_log2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.2994832Z test_dispatch_meta_log_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2994964Z test_dispatch_meta_log_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995102Z test_dispatch_meta_log_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995238Z test_dispatch_meta_log_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995369Z test_dispatch_meta_log_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995488Z test_dispatch_meta_log_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995617Z test_dispatch_meta_log_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995743Z test_dispatch_meta_log_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995870Z test_dispatch_meta_log_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2995998Z test_dispatch_meta_log_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2996126Z test_dispatch_meta_log_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.2996272Z test_dispatch_meta_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2996415Z test_dispatch_meta_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2996544Z test_dispatch_meta_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.2996694Z test_dispatch_meta_log_softmax_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2996863Z test_dispatch_meta_log_softmax_dtype_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2997019Z test_dispatch_meta_log_softmax_dtype_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2997171Z test_dispatch_meta_log_softmax_dtype_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2997322Z test_dispatch_meta_log_softmax_dtype_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2997470Z test_dispatch_meta_log_softmax_dtype_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2997638Z test_dispatch_meta_log_softmax_dtype_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2997772Z test_dispatch_meta_log_softmax_dtype_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2997919Z test_dispatch_meta_log_softmax_dtype_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2998062Z test_dispatch_meta_log_softmax_dtype_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2998208Z test_dispatch_meta_log_softmax_dtype_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2998353Z test_dispatch_meta_log_softmax_dtype_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2998495Z test_dispatch_meta_log_softmax_dtype_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.2998641Z test_dispatch_meta_logaddexp2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2998825Z test_dispatch_meta_logaddexp2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2998954Z test_dispatch_meta_logaddexp2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2999205Z test_dispatch_meta_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2999374Z test_dispatch_meta_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2999548Z test_dispatch_meta_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.2999733Z test_dispatch_meta_logcumsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.2999869Z test_dispatch_meta_logcumsumexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3000037Z test_dispatch_meta_logcumsumexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3000199Z test_dispatch_meta_logdet_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3000362Z test_dispatch_meta_logdet_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3000519Z test_dispatch_meta_logdet_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3000696Z test_dispatch_meta_logdet_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3000859Z test_dispatch_meta_logical_and_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3001015Z test_dispatch_meta_logical_and_cpu_bool (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3001152Z test_dispatch_meta_logical_and_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3001323Z test_dispatch_meta_logical_and_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3001480Z test_dispatch_meta_logical_and_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3001638Z test_dispatch_meta_logical_and_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3001800Z test_dispatch_meta_logical_and_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3001959Z test_dispatch_meta_logical_and_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3002136Z test_dispatch_meta_logical_and_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3002295Z test_dispatch_meta_logical_and_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3002420Z test_dispatch_meta_logical_and_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3002634Z test_dispatch_meta_logical_and_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3002795Z test_dispatch_meta_logical_not_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3002958Z test_dispatch_meta_logical_not_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3003130Z test_dispatch_meta_logical_not_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3003302Z test_dispatch_meta_logical_not_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3003470Z test_dispatch_meta_logical_not_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3003691Z test_dispatch_meta_logical_not_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3003821Z test_dispatch_meta_logical_not_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3003987Z test_dispatch_meta_logical_not_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3004153Z test_dispatch_meta_logical_not_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3021072Z test_dispatch_meta_logical_not_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3021305Z test_dispatch_meta_logical_not_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3021443Z test_dispatch_meta_logical_not_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3021589Z test_dispatch_meta_logical_or_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3021734Z test_dispatch_meta_logical_or_cpu_bool (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3021888Z test_dispatch_meta_logical_or_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3022034Z test_dispatch_meta_logical_or_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3022173Z test_dispatch_meta_logical_or_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3022313Z test_dispatch_meta_logical_or_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3022453Z test_dispatch_meta_logical_or_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3022578Z test_dispatch_meta_logical_or_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3022716Z test_dispatch_meta_logical_or_cpu_int32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3022853Z test_dispatch_meta_logical_or_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3022992Z test_dispatch_meta_logical_or_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3023131Z test_dispatch_meta_logical_or_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3023276Z test_dispatch_meta_logical_xor_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3023411Z test_dispatch_meta_logical_xor_cpu_bool (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3023560Z test_dispatch_meta_logical_xor_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3023693Z test_dispatch_meta_logical_xor_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3023835Z test_dispatch_meta_logical_xor_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3023971Z test_dispatch_meta_logical_xor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3024110Z test_dispatch_meta_logical_xor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3024248Z test_dispatch_meta_logical_xor_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3024391Z test_dispatch_meta_logical_xor_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3024531Z test_dispatch_meta_logical_xor_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3024666Z test_dispatch_meta_logical_xor_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3024917Z test_dispatch_meta_logical_xor_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3025055Z test_dispatch_meta_logit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3025192Z test_dispatch_meta_logit_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3025328Z test_dispatch_meta_logit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3025463Z test_dispatch_meta_logit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3025595Z test_dispatch_meta_logit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3025728Z test_dispatch_meta_logit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3025897Z test_dispatch_meta_logit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3026020Z test_dispatch_meta_logit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3026150Z test_dispatch_meta_logit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3026291Z test_dispatch_meta_logspace_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.147s) 2022-12-01T10:23:49.3026435Z test_dispatch_meta_logspace_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.157s) 2022-12-01T10:23:49.3026577Z test_dispatch_meta_logspace_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.144s) 2022-12-01T10:23:49.3026720Z test_dispatch_meta_logspace_cpu_float32 (__main__.TestMetaCPU) ... ok (0.144s) 2022-12-01T10:23:49.3026859Z test_dispatch_meta_logspace_cpu_float64 (__main__.TestMetaCPU) ... ok (0.143s) 2022-12-01T10:23:49.3026996Z test_dispatch_meta_logspace_cpu_int16 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.3027134Z test_dispatch_meta_logspace_cpu_int32 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.3027258Z test_dispatch_meta_logspace_cpu_int64 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.3027392Z test_dispatch_meta_logspace_cpu_int8 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.3027527Z test_dispatch_meta_logspace_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3027667Z test_dispatch_meta_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3027804Z test_dispatch_meta_logsumexp_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3027942Z test_dispatch_meta_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3028082Z test_dispatch_meta_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3028221Z test_dispatch_meta_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3028349Z test_dispatch_meta_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3028485Z test_dispatch_meta_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3028622Z test_dispatch_meta_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3028758Z test_dispatch_meta_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3028898Z test_dispatch_meta_long_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3029029Z test_dispatch_meta_long_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3029165Z test_dispatch_meta_long_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3029300Z test_dispatch_meta_long_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3029423Z test_dispatch_meta_long_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3029557Z test_dispatch_meta_long_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3029691Z test_dispatch_meta_long_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3029820Z test_dispatch_meta_long_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3029950Z test_dispatch_meta_long_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3030110Z test_dispatch_meta_long_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3030235Z test_dispatch_meta_long_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3030363Z test_dispatch_meta_long_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3030481Z test_dispatch_meta_long_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3030616Z test_dispatch_meta_lt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3030746Z test_dispatch_meta_lt_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3030873Z test_dispatch_meta_lt_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3031029Z test_dispatch_meta_lt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3031156Z test_dispatch_meta_lt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3031284Z test_dispatch_meta_lt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3031413Z test_dispatch_meta_lt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3031526Z test_dispatch_meta_lt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3031652Z test_dispatch_meta_lt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3031779Z test_dispatch_meta_lt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3031912Z test_dispatch_meta_lu_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3032045Z test_dispatch_meta_lu_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3032174Z test_dispatch_meta_lu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3032305Z test_dispatch_meta_lu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3032447Z test_dispatch_meta_lu_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3032577Z test_dispatch_meta_lu_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3032715Z test_dispatch_meta_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3032850Z test_dispatch_meta_lu_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3032995Z test_dispatch_meta_lu_unpack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3033137Z test_dispatch_meta_lu_unpack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3033274Z test_dispatch_meta_lu_unpack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3033413Z test_dispatch_meta_lu_unpack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3033545Z test_dispatch_meta_mH_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3033660Z test_dispatch_meta_mH_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3033797Z test_dispatch_meta_mH_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3033931Z test_dispatch_meta_mH_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3034063Z test_dispatch_meta_mH_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3034191Z test_dispatch_meta_mH_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3034319Z test_dispatch_meta_mH_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3034444Z test_dispatch_meta_mH_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3034571Z test_dispatch_meta_mH_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3034683Z test_dispatch_meta_mH_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3034810Z test_dispatch_meta_mH_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3034937Z test_dispatch_meta_mH_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3035065Z test_dispatch_meta_mH_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3035224Z test_dispatch_meta_mT_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3035350Z test_dispatch_meta_mT_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3035485Z test_dispatch_meta_mT_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3035617Z test_dispatch_meta_mT_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3035736Z test_dispatch_meta_mT_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3035864Z test_dispatch_meta_mT_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3035992Z test_dispatch_meta_mT_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3036145Z test_dispatch_meta_mT_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3036273Z test_dispatch_meta_mT_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3036400Z test_dispatch_meta_mT_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3036529Z test_dispatch_meta_mT_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3036656Z test_dispatch_meta_mT_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3036770Z test_dispatch_meta_mT_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3036914Z test_dispatch_meta_masked_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.109s) 2022-12-01T10:23:49.3037056Z test_dispatch_meta_masked_amax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3037197Z test_dispatch_meta_masked_amax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.109s) 2022-12-01T10:23:49.3037337Z test_dispatch_meta_masked_amax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.109s) 2022-12-01T10:23:49.3037475Z test_dispatch_meta_masked_amax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.092s) 2022-12-01T10:23:49.3037614Z test_dispatch_meta_masked_amax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3037753Z test_dispatch_meta_masked_amax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3037879Z test_dispatch_meta_masked_amax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3038014Z test_dispatch_meta_masked_amax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3038157Z test_dispatch_meta_masked_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3038297Z test_dispatch_meta_masked_amin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3038432Z test_dispatch_meta_masked_amin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3038566Z test_dispatch_meta_masked_amin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.109s) 2022-12-01T10:23:49.3038705Z test_dispatch_meta_masked_amin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.092s) 2022-12-01T10:23:49.3038841Z test_dispatch_meta_masked_amin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3038962Z test_dispatch_meta_masked_amin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3039101Z test_dispatch_meta_masked_amin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3039238Z test_dispatch_meta_masked_amin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3039387Z test_dispatch_meta_masked_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.3039531Z test_dispatch_meta_masked_argmax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.3039669Z test_dispatch_meta_masked_argmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.3039807Z test_dispatch_meta_masked_argmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.3039946Z test_dispatch_meta_masked_argmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3040069Z test_dispatch_meta_masked_argmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3040203Z test_dispatch_meta_masked_argmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3040378Z test_dispatch_meta_masked_argmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3040519Z test_dispatch_meta_masked_argmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3040663Z test_dispatch_meta_masked_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.3040802Z test_dispatch_meta_masked_argmin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.3040939Z test_dispatch_meta_masked_argmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.3041105Z test_dispatch_meta_masked_argmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.067s) 2022-12-01T10:23:49.3041243Z test_dispatch_meta_masked_argmin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3041366Z test_dispatch_meta_masked_argmin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3041499Z test_dispatch_meta_masked_argmin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3041639Z test_dispatch_meta_masked_argmin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3041773Z test_dispatch_meta_masked_argmin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3041920Z test_dispatch_meta_masked_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3042072Z test_dispatch_meta_masked_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3042224Z test_dispatch_meta_masked_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3042369Z test_dispatch_meta_masked_cumprod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3042502Z test_dispatch_meta_masked_cumprod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3042645Z test_dispatch_meta_masked_cumprod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3042787Z test_dispatch_meta_masked_cumprod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3042926Z test_dispatch_meta_masked_cumprod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3043067Z test_dispatch_meta_masked_cumprod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3043205Z test_dispatch_meta_masked_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3043347Z test_dispatch_meta_masked_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3043494Z test_dispatch_meta_masked_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3043628Z test_dispatch_meta_masked_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3043770Z test_dispatch_meta_masked_cumsum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3043908Z test_dispatch_meta_masked_cumsum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3044048Z test_dispatch_meta_masked_cumsum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3044183Z test_dispatch_meta_masked_cumsum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3044316Z test_dispatch_meta_masked_cumsum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3044455Z test_dispatch_meta_masked_cumsum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3044591Z test_dispatch_meta_masked_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3044719Z test_dispatch_meta_masked_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3044861Z test_dispatch_meta_masked_fill_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3045005Z test_dispatch_meta_masked_fill_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3045148Z test_dispatch_meta_masked_fill_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3045335Z test_dispatch_meta_masked_fill_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3045474Z test_dispatch_meta_masked_fill_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3045613Z test_dispatch_meta_masked_fill_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3045748Z test_dispatch_meta_masked_fill_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3045885Z test_dispatch_meta_masked_fill_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3046011Z test_dispatch_meta_masked_fill_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3046172Z test_dispatch_meta_masked_fill_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3046311Z test_dispatch_meta_masked_fill_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3046447Z test_dispatch_meta_masked_fill_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3046599Z test_dispatch_meta_masked_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3046752Z test_dispatch_meta_masked_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3046900Z test_dispatch_meta_masked_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3047257Z test_dispatch_meta_masked_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3047418Z test_dispatch_meta_masked_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3047566Z test_dispatch_meta_masked_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3047719Z test_dispatch_meta_masked_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.3047867Z test_dispatch_meta_masked_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.133s) 2022-12-01T10:23:49.3048011Z test_dispatch_meta_masked_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.132s) 2022-12-01T10:23:49.3048160Z test_dispatch_meta_masked_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.114s) 2022-12-01T10:23:49.3048305Z test_dispatch_meta_masked_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.3048451Z test_dispatch_meta_masked_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.3048581Z test_dispatch_meta_masked_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.114s) 2022-12-01T10:23:49.3048727Z test_dispatch_meta_masked_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.114s) 2022-12-01T10:23:49.3048868Z test_dispatch_meta_masked_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.247s) 2022-12-01T10:23:49.3049009Z test_dispatch_meta_masked_mean_cpu_bool (__main__.TestMetaCPU) ... ok (0.202s) 2022-12-01T10:23:49.3049150Z test_dispatch_meta_masked_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.204s) 2022-12-01T10:23:49.3049291Z test_dispatch_meta_masked_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.204s) 2022-12-01T10:23:49.3049434Z test_dispatch_meta_masked_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.246s) 2022-12-01T10:23:49.3049574Z test_dispatch_meta_masked_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.246s) 2022-12-01T10:23:49.3049709Z test_dispatch_meta_masked_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.246s) 2022-12-01T10:23:49.3049835Z test_dispatch_meta_masked_mean_cpu_int16 (__main__.TestMetaCPU) ... ok (0.203s) 2022-12-01T10:23:49.3049972Z test_dispatch_meta_masked_mean_cpu_int32 (__main__.TestMetaCPU) ... ok (0.203s) 2022-12-01T10:23:49.3050110Z test_dispatch_meta_masked_mean_cpu_int64 (__main__.TestMetaCPU) ... ok (0.203s) 2022-12-01T10:23:49.3050250Z test_dispatch_meta_masked_mean_cpu_int8 (__main__.TestMetaCPU) ... ok (0.203s) 2022-12-01T10:23:49.3050386Z test_dispatch_meta_masked_mean_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.203s) 2022-12-01T10:23:49.3050529Z test_dispatch_meta_masked_median_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3050724Z test_dispatch_meta_masked_median_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3050861Z test_dispatch_meta_masked_median_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3050991Z test_dispatch_meta_masked_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.555s) 2022-12-01T10:23:49.3051131Z test_dispatch_meta_masked_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.555s) 2022-12-01T10:23:49.3051353Z test_dispatch_meta_masked_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.555s) 2022-12-01T10:23:49.3051493Z test_dispatch_meta_masked_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.556s) 2022-12-01T10:23:49.3051719Z test_dispatch_meta_masked_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3051875Z test_dispatch_meta_masked_normalize_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.3052025Z test_dispatch_meta_masked_normalize_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.042s) 2022-12-01T10:23:49.3052174Z test_dispatch_meta_masked_normalize_cpu_float16 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3052308Z test_dispatch_meta_masked_normalize_cpu_float32 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3052457Z test_dispatch_meta_masked_normalize_cpu_float64 (__main__.TestMetaCPU) ... ok (0.041s) 2022-12-01T10:23:49.3052596Z test_dispatch_meta_masked_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.107s) 2022-12-01T10:23:49.3052743Z test_dispatch_meta_masked_prod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.106s) 2022-12-01T10:23:49.3052888Z test_dispatch_meta_masked_prod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.106s) 2022-12-01T10:23:49.3053030Z test_dispatch_meta_masked_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.124s) 2022-12-01T10:23:49.3053170Z test_dispatch_meta_masked_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.124s) 2022-12-01T10:23:49.3053310Z test_dispatch_meta_masked_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3053451Z test_dispatch_meta_masked_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3053576Z test_dispatch_meta_masked_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.105s) 2022-12-01T10:23:49.3053715Z test_dispatch_meta_masked_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3053851Z test_dispatch_meta_masked_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.108s) 2022-12-01T10:23:49.3053999Z test_dispatch_meta_masked_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3054142Z test_dispatch_meta_masked_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3054293Z test_dispatch_meta_masked_scatter_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3054442Z test_dispatch_meta_masked_scatter_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3054587Z test_dispatch_meta_masked_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3054720Z test_dispatch_meta_masked_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3054864Z test_dispatch_meta_masked_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3055006Z test_dispatch_meta_masked_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3055143Z test_dispatch_meta_masked_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3055284Z test_dispatch_meta_masked_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3055424Z test_dispatch_meta_masked_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3055566Z test_dispatch_meta_masked_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3055709Z test_dispatch_meta_masked_select_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3055836Z test_dispatch_meta_masked_select_cpu_bool (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3056012Z test_dispatch_meta_masked_select_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3056157Z test_dispatch_meta_masked_select_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3056300Z test_dispatch_meta_masked_select_cpu_float16 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3056440Z test_dispatch_meta_masked_select_cpu_float32 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3056576Z test_dispatch_meta_masked_select_cpu_float64 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3056716Z test_dispatch_meta_masked_select_cpu_int16 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3056876Z test_dispatch_meta_masked_select_cpu_int32 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3057017Z test_dispatch_meta_masked_select_cpu_int64 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3057143Z test_dispatch_meta_masked_select_cpu_int8 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3057283Z test_dispatch_meta_masked_select_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3057426Z test_dispatch_meta_masked_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3057571Z test_dispatch_meta_masked_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3057709Z test_dispatch_meta_masked_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3057853Z test_dispatch_meta_masked_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3057998Z test_dispatch_meta_masked_softmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3058142Z test_dispatch_meta_masked_softmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3058269Z test_dispatch_meta_masked_std_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.961s) 2022-12-01T10:23:49.3058411Z test_dispatch_meta_masked_std_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.853s) 2022-12-01T10:23:49.3058556Z test_dispatch_meta_masked_std_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.845s) 2022-12-01T10:23:49.3058693Z test_dispatch_meta_masked_std_cpu_float32 (__main__.TestMetaCPU) ... ok (0.978s) 2022-12-01T10:23:49.3058828Z test_dispatch_meta_masked_std_cpu_float64 (__main__.TestMetaCPU) ... ok (0.978s) 2022-12-01T10:23:49.3058965Z test_dispatch_meta_masked_std_cpu_int16 (__main__.TestMetaCPU) ... ok (0.813s) 2022-12-01T10:23:49.3059103Z test_dispatch_meta_masked_std_cpu_int32 (__main__.TestMetaCPU) ... ok (0.813s) 2022-12-01T10:23:49.3059240Z test_dispatch_meta_masked_std_cpu_int64 (__main__.TestMetaCPU) ... ok (0.811s) 2022-12-01T10:23:49.3059365Z test_dispatch_meta_masked_std_cpu_int8 (__main__.TestMetaCPU) ... ok (0.812s) 2022-12-01T10:23:49.3059500Z test_dispatch_meta_masked_std_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.811s) 2022-12-01T10:23:49.3059640Z test_dispatch_meta_masked_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3059778Z test_dispatch_meta_masked_sum_cpu_bool (__main__.TestMetaCPU) ... ok (0.093s) 2022-12-01T10:23:49.3059921Z test_dispatch_meta_masked_sum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.094s) 2022-12-01T10:23:49.3060064Z test_dispatch_meta_masked_sum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.093s) 2022-12-01T10:23:49.3060200Z test_dispatch_meta_masked_sum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3060333Z test_dispatch_meta_masked_sum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3060453Z test_dispatch_meta_masked_sum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3060591Z test_dispatch_meta_masked_sum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.093s) 2022-12-01T10:23:49.3060724Z test_dispatch_meta_masked_sum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.093s) 2022-12-01T10:23:49.3060858Z test_dispatch_meta_masked_sum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.093s) 2022-12-01T10:23:49.3061020Z test_dispatch_meta_masked_sum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.093s) 2022-12-01T10:23:49.3061153Z test_dispatch_meta_masked_sum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.093s) 2022-12-01T10:23:49.3061292Z test_dispatch_meta_masked_var_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.919s) 2022-12-01T10:23:49.3061435Z test_dispatch_meta_masked_var_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.812s) 2022-12-01T10:23:49.3061566Z test_dispatch_meta_masked_var_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.808s) 2022-12-01T10:23:49.3061705Z test_dispatch_meta_masked_var_cpu_float16 (__main__.TestMetaCPU) ... ok (0.919s) 2022-12-01T10:23:49.3061865Z test_dispatch_meta_masked_var_cpu_float32 (__main__.TestMetaCPU) ... ok (0.919s) 2022-12-01T10:23:49.3062000Z test_dispatch_meta_masked_var_cpu_float64 (__main__.TestMetaCPU) ... ok (0.918s) 2022-12-01T10:23:49.3062135Z test_dispatch_meta_masked_var_cpu_int16 (__main__.TestMetaCPU) ... ok (0.761s) 2022-12-01T10:23:49.3062272Z test_dispatch_meta_masked_var_cpu_int32 (__main__.TestMetaCPU) ... ok (0.761s) 2022-12-01T10:23:49.3062405Z test_dispatch_meta_masked_var_cpu_int64 (__main__.TestMetaCPU) ... ok (0.761s) 2022-12-01T10:23:49.3062540Z test_dispatch_meta_masked_var_cpu_int8 (__main__.TestMetaCPU) ... ok (0.761s) 2022-12-01T10:23:49.3062674Z test_dispatch_meta_masked_var_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.761s) 2022-12-01T10:23:49.3062798Z test_dispatch_meta_matmul_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3062938Z test_dispatch_meta_matmul_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3063077Z test_dispatch_meta_matmul_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3063213Z test_dispatch_meta_matmul_cpu_float32 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3063348Z test_dispatch_meta_matmul_cpu_float64 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3063482Z test_dispatch_meta_matmul_cpu_int16 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3063615Z test_dispatch_meta_matmul_cpu_int32 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3063747Z test_dispatch_meta_matmul_cpu_int64 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3063867Z test_dispatch_meta_matmul_cpu_int8 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3063995Z test_dispatch_meta_matmul_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3064136Z test_dispatch_meta_matrix_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3064278Z test_dispatch_meta_matrix_exp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3064424Z test_dispatch_meta_matrix_exp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3064562Z test_dispatch_meta_matrix_exp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3064696Z test_dispatch_meta_matrix_exp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3064836Z test_dispatch_meta_max_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3064961Z test_dispatch_meta_max_binary_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3065099Z test_dispatch_meta_max_binary_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3065232Z test_dispatch_meta_max_binary_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3065363Z test_dispatch_meta_max_binary_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3065499Z test_dispatch_meta_max_binary_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3065637Z test_dispatch_meta_max_binary_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3065772Z test_dispatch_meta_max_binary_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3065909Z test_dispatch_meta_max_binary_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3066064Z test_dispatch_meta_max_binary_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3066218Z test_dispatch_meta_max_reduction_no_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3066364Z test_dispatch_meta_max_reduction_no_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3066515Z test_dispatch_meta_max_reduction_no_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3066663Z test_dispatch_meta_max_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3066810Z test_dispatch_meta_max_reduction_no_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3066984Z test_dispatch_meta_max_reduction_no_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3067133Z test_dispatch_meta_max_reduction_no_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3067262Z test_dispatch_meta_max_reduction_no_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3067411Z test_dispatch_meta_max_reduction_no_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3067553Z test_dispatch_meta_max_reduction_no_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3067708Z test_dispatch_meta_max_reduction_with_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3067858Z test_dispatch_meta_max_reduction_with_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3068010Z test_dispatch_meta_max_reduction_with_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3068164Z test_dispatch_meta_max_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3068313Z test_dispatch_meta_max_reduction_with_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3068462Z test_dispatch_meta_max_reduction_with_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3068733Z test_dispatch_meta_max_reduction_with_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3068882Z test_dispatch_meta_max_reduction_with_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3069030Z test_dispatch_meta_max_reduction_with_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3069179Z test_dispatch_meta_max_reduction_with_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3069319Z test_dispatch_meta_maximum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3069457Z test_dispatch_meta_maximum_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3069597Z test_dispatch_meta_maximum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3069733Z test_dispatch_meta_maximum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3069858Z test_dispatch_meta_maximum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3069995Z test_dispatch_meta_maximum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3070225Z test_dispatch_meta_maximum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3070357Z test_dispatch_meta_maximum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3070489Z test_dispatch_meta_maximum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3070618Z test_dispatch_meta_maximum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3070753Z test_dispatch_meta_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3070890Z test_dispatch_meta_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3071015Z test_dispatch_meta_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3071148Z test_dispatch_meta_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3071279Z test_dispatch_meta_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3071440Z test_dispatch_meta_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3071579Z test_dispatch_meta_median_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3071715Z test_dispatch_meta_median_cpu_float32 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3071852Z test_dispatch_meta_median_cpu_float64 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3071986Z test_dispatch_meta_median_cpu_int16 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3072103Z test_dispatch_meta_median_cpu_int32 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3072258Z test_dispatch_meta_median_cpu_int64 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3072393Z test_dispatch_meta_median_cpu_int8 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3072525Z test_dispatch_meta_median_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3072685Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3072838Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_bool (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3072998Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3073160Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3073315Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3073460Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3073613Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3073767Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3073920Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3074071Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3074221Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3074368Z test_dispatch_meta_meshgrid_list_of_tensors_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3074527Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3074669Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_bool (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3074837Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3074999Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3075155Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3075313Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3075469Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3075624Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3075779Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3075935Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3076078Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3076229Z test_dispatch_meta_meshgrid_variadic_tensors_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3076371Z test_dispatch_meta_min_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3076539Z test_dispatch_meta_min_binary_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3076679Z test_dispatch_meta_min_binary_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3076814Z test_dispatch_meta_min_binary_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3076955Z test_dispatch_meta_min_binary_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3077092Z test_dispatch_meta_min_binary_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3077229Z test_dispatch_meta_min_binary_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3077382Z test_dispatch_meta_min_binary_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3077518Z test_dispatch_meta_min_binary_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3077653Z test_dispatch_meta_min_binary_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3077807Z test_dispatch_meta_min_reduction_no_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3077954Z test_dispatch_meta_min_reduction_no_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3078103Z test_dispatch_meta_min_reduction_no_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3078252Z test_dispatch_meta_min_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3078397Z test_dispatch_meta_min_reduction_no_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3078535Z test_dispatch_meta_min_reduction_no_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3078683Z test_dispatch_meta_min_reduction_no_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3078826Z test_dispatch_meta_min_reduction_no_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3078972Z test_dispatch_meta_min_reduction_no_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3079117Z test_dispatch_meta_min_reduction_no_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3079272Z test_dispatch_meta_min_reduction_with_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3079419Z test_dispatch_meta_min_reduction_with_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3079570Z test_dispatch_meta_min_reduction_with_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3079710Z test_dispatch_meta_min_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3079863Z test_dispatch_meta_min_reduction_with_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3080011Z test_dispatch_meta_min_reduction_with_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3080158Z test_dispatch_meta_min_reduction_with_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3080305Z test_dispatch_meta_min_reduction_with_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3080450Z test_dispatch_meta_min_reduction_with_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3080593Z test_dispatch_meta_min_reduction_with_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3080731Z test_dispatch_meta_minimum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3080864Z test_dispatch_meta_minimum_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3080987Z test_dispatch_meta_minimum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3081125Z test_dispatch_meta_minimum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3081260Z test_dispatch_meta_minimum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3081396Z test_dispatch_meta_minimum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3081570Z test_dispatch_meta_minimum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3081703Z test_dispatch_meta_minimum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3081835Z test_dispatch_meta_minimum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3081965Z test_dispatch_meta_minimum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3082082Z test_dispatch_meta_mm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3082210Z test_dispatch_meta_mm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3082369Z test_dispatch_meta_mm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3082504Z test_dispatch_meta_mm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3082635Z test_dispatch_meta_mm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3082764Z test_dispatch_meta_mm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3082895Z test_dispatch_meta_mm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3083023Z test_dispatch_meta_mm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3083137Z test_dispatch_meta_mm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3083263Z test_dispatch_meta_mm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3083398Z test_dispatch_meta_mode_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3083530Z test_dispatch_meta_mode_cpu_bool (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3083665Z test_dispatch_meta_mode_cpu_float16 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3083798Z test_dispatch_meta_mode_cpu_float32 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3083931Z test_dispatch_meta_mode_cpu_float64 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3084064Z test_dispatch_meta_mode_cpu_int16 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3084181Z test_dispatch_meta_mode_cpu_int32 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3084307Z test_dispatch_meta_mode_cpu_int64 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3084434Z test_dispatch_meta_mode_cpu_int8 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3084565Z test_dispatch_meta_mode_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3084703Z test_dispatch_meta_movedim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3084836Z test_dispatch_meta_movedim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3084980Z test_dispatch_meta_movedim_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3085123Z test_dispatch_meta_movedim_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3085250Z test_dispatch_meta_movedim_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3085389Z test_dispatch_meta_movedim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3085524Z test_dispatch_meta_movedim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3085659Z test_dispatch_meta_movedim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3085792Z test_dispatch_meta_movedim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3085923Z test_dispatch_meta_movedim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3086052Z test_dispatch_meta_movedim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3086186Z test_dispatch_meta_movedim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3086308Z test_dispatch_meta_movedim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3086444Z test_dispatch_meta_msort_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3086615Z test_dispatch_meta_msort_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3086746Z test_dispatch_meta_msort_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3086876Z test_dispatch_meta_msort_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3087125Z test_dispatch_meta_msort_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3087259Z test_dispatch_meta_msort_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3087392Z test_dispatch_meta_msort_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3087506Z test_dispatch_meta_msort_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3087679Z test_dispatch_meta_msort_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3087809Z test_dispatch_meta_msort_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3087941Z test_dispatch_meta_mul_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3088074Z test_dispatch_meta_mul_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3088210Z test_dispatch_meta_mul_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3088344Z test_dispatch_meta_mul_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3088475Z test_dispatch_meta_mul_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3088593Z test_dispatch_meta_mul_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3088725Z test_dispatch_meta_mul_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3088857Z test_dispatch_meta_mul_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3088988Z test_dispatch_meta_mul_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3089116Z test_dispatch_meta_mul_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3089245Z test_dispatch_meta_mul_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3089375Z test_dispatch_meta_mul_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3089503Z test_dispatch_meta_mul_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3089637Z test_dispatch_meta_multinomial_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.102s) 2022-12-01T10:23:49.3089780Z test_dispatch_meta_multinomial_cpu_float32 (__main__.TestMetaCPU) ... ok (0.102s) 2022-12-01T10:23:49.3089918Z test_dispatch_meta_multinomial_cpu_float64 (__main__.TestMetaCPU) ... ok (0.102s) 2022-12-01T10:23:49.3090050Z test_dispatch_meta_mv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3090190Z test_dispatch_meta_mv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3090326Z test_dispatch_meta_mv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3090459Z test_dispatch_meta_mv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3090586Z test_dispatch_meta_mv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3090703Z test_dispatch_meta_mv_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3090831Z test_dispatch_meta_mv_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3090957Z test_dispatch_meta_mv_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3091083Z test_dispatch_meta_mv_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3091300Z test_dispatch_meta_mv_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3091461Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3091619Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3091774Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3091911Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3092104Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3092252Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3092401Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3092548Z test_dispatch_meta_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3092700Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3092880Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3093030Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3093179Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3093317Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3093458Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3093605Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3093755Z test_dispatch_meta_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3093909Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3094059Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3094211Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3094358Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3094492Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3094639Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3094785Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3094928Z test_dispatch_meta_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3095067Z test_dispatch_meta_nan_to_num_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3095204Z test_dispatch_meta_nan_to_num_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3095346Z test_dispatch_meta_nan_to_num_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3095482Z test_dispatch_meta_nan_to_num_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3095615Z test_dispatch_meta_nan_to_num_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3095739Z test_dispatch_meta_nan_to_num_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3095877Z test_dispatch_meta_nan_to_num_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3096014Z test_dispatch_meta_nan_to_num_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3096148Z test_dispatch_meta_nan_to_num_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3096284Z test_dispatch_meta_nan_to_num_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3096421Z test_dispatch_meta_nanmean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.116s) 2022-12-01T10:23:49.3096555Z test_dispatch_meta_nanmean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.3096692Z test_dispatch_meta_nanmean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.3096815Z test_dispatch_meta_nanmean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.116s) 2022-12-01T10:23:49.3096956Z test_dispatch_meta_nanmedian_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3097122Z test_dispatch_meta_nanmedian_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3097262Z test_dispatch_meta_nanmedian_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3097396Z test_dispatch_meta_nanmedian_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3097530Z test_dispatch_meta_nanmedian_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3097666Z test_dispatch_meta_nanmedian_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3097802Z test_dispatch_meta_nanmedian_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3097952Z test_dispatch_meta_nanmedian_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3098095Z test_dispatch_meta_nanquantile_cpu_float32 (__main__.TestMetaCPU) ... ok (1.662s) 2022-12-01T10:23:49.3098234Z test_dispatch_meta_nanquantile_cpu_float64 (__main__.TestMetaCPU) ... ok (1.662s) 2022-12-01T10:23:49.3098370Z test_dispatch_meta_nansum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3098502Z test_dispatch_meta_nansum_cpu_bool (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3098637Z test_dispatch_meta_nansum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3098772Z test_dispatch_meta_nansum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3098904Z test_dispatch_meta_nansum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3099026Z test_dispatch_meta_nansum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3099161Z test_dispatch_meta_nansum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3099292Z test_dispatch_meta_nansum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3099421Z test_dispatch_meta_nansum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3099551Z test_dispatch_meta_nansum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3099697Z test_dispatch_meta_narrow_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3099835Z test_dispatch_meta_narrow_copy_cpu_bool (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3099980Z test_dispatch_meta_narrow_copy_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.3100113Z test_dispatch_meta_narrow_copy_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3100253Z test_dispatch_meta_narrow_copy_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3100393Z test_dispatch_meta_narrow_copy_cpu_float16 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3100532Z test_dispatch_meta_narrow_copy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3100668Z test_dispatch_meta_narrow_copy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.3100806Z test_dispatch_meta_narrow_copy_cpu_int16 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3100947Z test_dispatch_meta_narrow_copy_cpu_int32 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3101084Z test_dispatch_meta_narrow_copy_cpu_int64 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3101210Z test_dispatch_meta_narrow_copy_cpu_int8 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3101346Z test_dispatch_meta_narrow_copy_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3101480Z test_dispatch_meta_narrow_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3101612Z test_dispatch_meta_narrow_cpu_bool (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3101754Z test_dispatch_meta_narrow_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3101891Z test_dispatch_meta_narrow_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3102027Z test_dispatch_meta_narrow_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3102191Z test_dispatch_meta_narrow_cpu_float16 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3102327Z test_dispatch_meta_narrow_cpu_float32 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3102449Z test_dispatch_meta_narrow_cpu_float64 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3102580Z test_dispatch_meta_narrow_cpu_int16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3102712Z test_dispatch_meta_narrow_cpu_int32 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3102841Z test_dispatch_meta_narrow_cpu_int64 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3103002Z test_dispatch_meta_narrow_cpu_int8 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3103133Z test_dispatch_meta_narrow_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3103588Z test_dispatch_meta_native_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_meta.py line 393 2022-12-01T10:23:49.3103658Z due to: 2022-12-01T10:23:49.3103737Z Traceback (most recent call last): 2022-12-01T10:23:49.3103997Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:23:49.3104086Z assert device.type != "meta" 2022-12-01T10:23:49.3104160Z AssertionError 2022-12-01T10:23:49.3104170Z 2022-12-01T10:23:49.3104300Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.3104361Z ========== 2022-12-01T10:23:49.3104586Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT verbose_print test_meta.py line 291 2022-12-01T10:23:49.3104637Z due to: 2022-12-01T10:23:49.3104729Z Traceback (most recent call last): 2022-12-01T10:23:49.3104980Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:23:49.3105066Z assert device.type != "meta" 2022-12-01T10:23:49.3105136Z AssertionError 2022-12-01T10:23:49.3105141Z 2022-12-01T10:23:49.3105271Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.3105335Z ========== 2022-12-01T10:23:49.3105529Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT go test_meta.py line 299 2022-12-01T10:23:49.3105590Z due to: 2022-12-01T10:23:49.3105679Z Traceback (most recent call last): 2022-12-01T10:23:49.3105925Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:23:49.3106010Z assert device.type != "meta" 2022-12-01T10:23:49.3106080Z AssertionError 2022-12-01T10:23:49.3106084Z 2022-12-01T10:23:49.3106213Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.3106273Z ========== 2022-12-01T10:23:49.3106328Z ok (0.016s) 2022-12-01T10:23:49.3106476Z test_dispatch_meta_native_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3106626Z test_dispatch_meta_native_batch_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3106780Z test_dispatch_meta_native_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3106924Z test_dispatch_meta_native_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3107068Z test_dispatch_meta_native_layer_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3107199Z test_dispatch_meta_ne_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3107326Z test_dispatch_meta_ne_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3107449Z test_dispatch_meta_ne_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3107584Z test_dispatch_meta_ne_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3107715Z test_dispatch_meta_ne_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3107844Z test_dispatch_meta_ne_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3107970Z test_dispatch_meta_ne_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3108128Z test_dispatch_meta_ne_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3108256Z test_dispatch_meta_ne_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3108380Z test_dispatch_meta_ne_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3108494Z test_dispatch_meta_ne_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3108623Z test_dispatch_meta_ne_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3108756Z test_dispatch_meta_neg_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3108918Z test_dispatch_meta_neg_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109056Z test_dispatch_meta_neg_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109191Z test_dispatch_meta_neg_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109321Z test_dispatch_meta_neg_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109455Z test_dispatch_meta_neg_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109570Z test_dispatch_meta_neg_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109698Z test_dispatch_meta_neg_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109826Z test_dispatch_meta_neg_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3109951Z test_dispatch_meta_neg_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3110079Z test_dispatch_meta_neg_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3110211Z test_dispatch_meta_neg_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3110350Z test_dispatch_meta_new_empty_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3110486Z test_dispatch_meta_new_empty_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3110619Z test_dispatch_meta_new_empty_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3110761Z test_dispatch_meta_new_empty_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3110899Z test_dispatch_meta_new_empty_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3111036Z test_dispatch_meta_new_empty_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3111177Z test_dispatch_meta_new_empty_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3111314Z test_dispatch_meta_new_empty_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3111453Z test_dispatch_meta_new_empty_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3111589Z test_dispatch_meta_new_empty_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3111712Z test_dispatch_meta_new_empty_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3111847Z test_dispatch_meta_new_empty_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3111983Z test_dispatch_meta_new_empty_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3112132Z test_dispatch_meta_new_empty_strided_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3112278Z test_dispatch_meta_new_empty_strided_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3112430Z test_dispatch_meta_new_empty_strided_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3112583Z test_dispatch_meta_new_empty_strided_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3112734Z test_dispatch_meta_new_empty_strided_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3112867Z test_dispatch_meta_new_empty_strided_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3113014Z test_dispatch_meta_new_empty_strided_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3113185Z test_dispatch_meta_new_empty_strided_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3113333Z test_dispatch_meta_new_empty_strided_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3113478Z test_dispatch_meta_new_empty_strided_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3113622Z test_dispatch_meta_new_empty_strided_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3113766Z test_dispatch_meta_new_empty_strided_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3113910Z test_dispatch_meta_new_empty_strided_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3114075Z test_dispatch_meta_new_full_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3114198Z test_dispatch_meta_new_full_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3114341Z test_dispatch_meta_new_full_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3114481Z test_dispatch_meta_new_full_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3114616Z test_dispatch_meta_new_full_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3114753Z test_dispatch_meta_new_full_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3114888Z test_dispatch_meta_new_full_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115025Z test_dispatch_meta_new_full_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115158Z test_dispatch_meta_new_full_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115282Z test_dispatch_meta_new_full_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115415Z test_dispatch_meta_new_full_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115547Z test_dispatch_meta_new_full_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115678Z test_dispatch_meta_new_full_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115818Z test_dispatch_meta_new_ones_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3115951Z test_dispatch_meta_new_ones_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3116093Z test_dispatch_meta_new_ones_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3116232Z test_dispatch_meta_new_ones_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3116359Z test_dispatch_meta_new_ones_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3116494Z test_dispatch_meta_new_ones_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3116632Z test_dispatch_meta_new_ones_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3116767Z test_dispatch_meta_new_ones_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3116900Z test_dispatch_meta_new_ones_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3117035Z test_dispatch_meta_new_ones_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3117170Z test_dispatch_meta_new_ones_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3117301Z test_dispatch_meta_new_ones_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3117421Z test_dispatch_meta_new_ones_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3117560Z test_dispatch_meta_new_zeros_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3117693Z test_dispatch_meta_new_zeros_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3117837Z test_dispatch_meta_new_zeros_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3117979Z test_dispatch_meta_new_zeros_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3118118Z test_dispatch_meta_new_zeros_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3118296Z test_dispatch_meta_new_zeros_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3118432Z test_dispatch_meta_new_zeros_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3118556Z test_dispatch_meta_new_zeros_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3118691Z test_dispatch_meta_new_zeros_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3118826Z test_dispatch_meta_new_zeros_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3118961Z test_dispatch_meta_new_zeros_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3119126Z test_dispatch_meta_new_zeros_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3119264Z test_dispatch_meta_new_zeros_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3119406Z test_dispatch_meta_nextafter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3119545Z test_dispatch_meta_nextafter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3119672Z test_dispatch_meta_nextafter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3119854Z test_dispatch_meta_nn_functional__scaled_dot_product_attention_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3120035Z test_dispatch_meta_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3120211Z test_dispatch_meta_nn_functional__scaled_dot_product_attention_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3120386Z test_dispatch_meta_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3120554Z test_dispatch_meta_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3120721Z test_dispatch_meta_nn_functional_adaptive_avg_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3120891Z test_dispatch_meta_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3121057Z test_dispatch_meta_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3121219Z test_dispatch_meta_nn_functional_adaptive_avg_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3121366Z test_dispatch_meta_nn_functional_adaptive_avg_pool3d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3121532Z test_dispatch_meta_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3121702Z test_dispatch_meta_nn_functional_adaptive_avg_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3121870Z test_dispatch_meta_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3122031Z test_dispatch_meta_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3122193Z test_dispatch_meta_nn_functional_adaptive_max_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3122359Z test_dispatch_meta_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3122522Z test_dispatch_meta_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3122681Z test_dispatch_meta_nn_functional_adaptive_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3122832Z test_dispatch_meta_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3122993Z test_dispatch_meta_nn_functional_adaptive_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3123151Z test_dispatch_meta_nn_functional_avg_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3123337Z test_dispatch_meta_nn_functional_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3123493Z test_dispatch_meta_nn_functional_avg_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3123648Z test_dispatch_meta_nn_functional_avg_pool1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3123807Z test_dispatch_meta_nn_functional_avg_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3123962Z test_dispatch_meta_nn_functional_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3124106Z test_dispatch_meta_nn_functional_avg_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3124287Z test_dispatch_meta_nn_functional_avg_pool2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3124442Z test_dispatch_meta_nn_functional_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3124594Z test_dispatch_meta_nn_functional_avg_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3124746Z test_dispatch_meta_nn_functional_avg_pool3d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3124902Z test_dispatch_meta_nn_functional_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3125054Z test_dispatch_meta_nn_functional_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3125208Z test_dispatch_meta_nn_functional_batch_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3125361Z test_dispatch_meta_nn_functional_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3125504Z test_dispatch_meta_nn_functional_bilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3125657Z test_dispatch_meta_nn_functional_bilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3125806Z test_dispatch_meta_nn_functional_bilinear_cpu_int16 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3125957Z test_dispatch_meta_nn_functional_bilinear_cpu_int32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3126109Z test_dispatch_meta_nn_functional_bilinear_cpu_int64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3126257Z test_dispatch_meta_nn_functional_bilinear_cpu_int8 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3126407Z test_dispatch_meta_nn_functional_bilinear_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3126577Z test_dispatch_meta_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3126745Z test_dispatch_meta_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3126915Z test_dispatch_meta_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3127311Z test_dispatch_meta_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3127497Z test_dispatch_meta_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3127650Z test_dispatch_meta_nn_functional_celu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3127798Z test_dispatch_meta_nn_functional_celu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3127948Z test_dispatch_meta_nn_functional_celu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3128100Z test_dispatch_meta_nn_functional_conv1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3128259Z test_dispatch_meta_nn_functional_conv1d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.069s) 2022-12-01T10:23:49.3128414Z test_dispatch_meta_nn_functional_conv1d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.3128551Z test_dispatch_meta_nn_functional_conv1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3128756Z test_dispatch_meta_nn_functional_conv1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3128905Z test_dispatch_meta_nn_functional_conv1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3129057Z test_dispatch_meta_nn_functional_conv2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3129214Z test_dispatch_meta_nn_functional_conv2d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.220s) 2022-12-01T10:23:49.3129366Z test_dispatch_meta_nn_functional_conv2d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.252s) 2022-12-01T10:23:49.3129551Z test_dispatch_meta_nn_functional_conv2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3129704Z test_dispatch_meta_nn_functional_conv2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3129838Z test_dispatch_meta_nn_functional_conv2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3130010Z test_dispatch_meta_nn_functional_conv_transpose1d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.069s) 2022-12-01T10:23:49.3130177Z test_dispatch_meta_nn_functional_conv_transpose1d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.068s) 2022-12-01T10:23:49.3130344Z test_dispatch_meta_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3130508Z test_dispatch_meta_nn_functional_conv_transpose1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3130672Z test_dispatch_meta_nn_functional_conv_transpose1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3130840Z test_dispatch_meta_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3131000Z test_dispatch_meta_nn_functional_conv_transpose2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3131162Z test_dispatch_meta_nn_functional_conv_transpose2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3131388Z test_dispatch_meta_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3131553Z test_dispatch_meta_nn_functional_conv_transpose3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3131715Z test_dispatch_meta_nn_functional_conv_transpose3d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3131885Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3132053Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_bool (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3132225Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3132393Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3132559Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3132722Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3132874Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3133040Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3133206Z test_dispatch_meta_nn_functional_cosine_embedding_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3133373Z test_dispatch_meta_nn_functional_cosine_similarity_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.3133537Z test_dispatch_meta_nn_functional_cosine_similarity_cpu_float32 (__main__.TestMetaCPU) ... ok (0.037s) 2022-12-01T10:23:49.3133702Z test_dispatch_meta_nn_functional_cosine_similarity_cpu_float64 (__main__.TestMetaCPU) ... ok (0.037s) 2022-12-01T10:23:49.3133928Z test_dispatch_meta_nn_functional_cross_entropy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.057s) 2022-12-01T10:23:49.3134088Z test_dispatch_meta_nn_functional_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.3134242Z test_dispatch_meta_nn_functional_cross_entropy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.3134382Z test_dispatch_meta_nn_functional_ctc_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3134534Z test_dispatch_meta_nn_functional_ctc_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.3134724Z test_dispatch_meta_nn_functional_dropout2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3134882Z test_dispatch_meta_nn_functional_dropout2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3135040Z test_dispatch_meta_nn_functional_dropout2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3135198Z test_dispatch_meta_nn_functional_dropout3d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3135350Z test_dispatch_meta_nn_functional_dropout3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3135502Z test_dispatch_meta_nn_functional_dropout3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3135657Z test_dispatch_meta_nn_functional_dropout_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3135797Z test_dispatch_meta_nn_functional_dropout_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3135949Z test_dispatch_meta_nn_functional_dropout_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3136095Z test_dispatch_meta_nn_functional_elu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3136241Z test_dispatch_meta_nn_functional_elu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3136390Z test_dispatch_meta_nn_functional_elu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3136552Z test_dispatch_meta_nn_functional_embedding_bag_cpu_float16 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.3136713Z test_dispatch_meta_nn_functional_embedding_bag_cpu_float32 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3136868Z test_dispatch_meta_nn_functional_embedding_bag_cpu_float64 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3137013Z test_dispatch_meta_nn_functional_embedding_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3137168Z test_dispatch_meta_nn_functional_embedding_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3137326Z test_dispatch_meta_nn_functional_embedding_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3137479Z test_dispatch_meta_nn_functional_embedding_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3137662Z test_dispatch_meta_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3137846Z test_dispatch_meta_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3138026Z test_dispatch_meta_nn_functional_feature_alpha_dropout_with_train_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3138211Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3138395Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3138586Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3138761Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3138973Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3139155Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3139334Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3139515Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3139691Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3139893Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3140075Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3140257Z test_dispatch_meta_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3140416Z test_dispatch_meta_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3140583Z test_dispatch_meta_nn_functional_fractional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3140747Z test_dispatch_meta_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3140912Z test_dispatch_meta_nn_functional_fractional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3141079Z test_dispatch_meta_nn_functional_gaussian_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (3.935s) 2022-12-01T10:23:49.3141244Z test_dispatch_meta_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (3.956s) 2022-12-01T10:23:49.3141406Z test_dispatch_meta_nn_functional_gaussian_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (3.971s) 2022-12-01T10:23:49.3141559Z test_dispatch_meta_nn_functional_gelu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3141706Z test_dispatch_meta_nn_functional_gelu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3141841Z test_dispatch_meta_nn_functional_gelu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3141990Z test_dispatch_meta_nn_functional_glu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3142134Z test_dispatch_meta_nn_functional_glu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3142281Z test_dispatch_meta_nn_functional_glu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3142440Z test_dispatch_meta_nn_functional_grid_sample_cpu_float32 (__main__.TestMetaCPU) ... ok (0.201s) 2022-12-01T10:23:49.3142598Z test_dispatch_meta_nn_functional_grid_sample_cpu_float64 (__main__.TestMetaCPU) ... ok (0.202s) 2022-12-01T10:23:49.3142755Z test_dispatch_meta_nn_functional_group_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3142913Z test_dispatch_meta_nn_functional_group_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3143068Z test_dispatch_meta_nn_functional_group_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3143212Z test_dispatch_meta_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3143368Z test_dispatch_meta_nn_functional_hardshrink_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3143525Z test_dispatch_meta_nn_functional_hardshrink_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3143685Z test_dispatch_meta_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3143840Z test_dispatch_meta_nn_functional_hardsigmoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3144025Z test_dispatch_meta_nn_functional_hardsigmoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3144180Z test_dispatch_meta_nn_functional_hardswish_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3144335Z test_dispatch_meta_nn_functional_hardswish_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3144491Z test_dispatch_meta_nn_functional_hardswish_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3144633Z test_dispatch_meta_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3144811Z test_dispatch_meta_nn_functional_hardtanh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3144967Z test_dispatch_meta_nn_functional_hardtanh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3145119Z test_dispatch_meta_nn_functional_hardtanh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3145271Z test_dispatch_meta_nn_functional_hardtanh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3145420Z test_dispatch_meta_nn_functional_hardtanh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3145569Z test_dispatch_meta_nn_functional_hardtanh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3145741Z test_dispatch_meta_nn_functional_hinge_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3145897Z test_dispatch_meta_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.3146066Z test_dispatch_meta_nn_functional_hinge_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.3146220Z test_dispatch_meta_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3146373Z test_dispatch_meta_nn_functional_huber_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3146529Z test_dispatch_meta_nn_functional_huber_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3146682Z test_dispatch_meta_nn_functional_huber_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3146843Z test_dispatch_meta_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.045s) 2022-12-01T10:23:49.3147001Z test_dispatch_meta_nn_functional_instance_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3147153Z test_dispatch_meta_nn_functional_instance_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3147307Z test_dispatch_meta_nn_functional_interpolate_area_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3147469Z test_dispatch_meta_nn_functional_interpolate_area_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3147636Z test_dispatch_meta_nn_functional_interpolate_bicubic_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3147805Z test_dispatch_meta_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3147971Z test_dispatch_meta_nn_functional_interpolate_bicubic_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3148140Z test_dispatch_meta_nn_functional_interpolate_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3148309Z test_dispatch_meta_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3148476Z test_dispatch_meta_nn_functional_interpolate_bilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3148645Z test_dispatch_meta_nn_functional_interpolate_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3148799Z test_dispatch_meta_nn_functional_interpolate_linear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3148965Z test_dispatch_meta_nn_functional_interpolate_linear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3149159Z test_dispatch_meta_nn_functional_interpolate_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3149322Z test_dispatch_meta_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3149486Z test_dispatch_meta_nn_functional_interpolate_nearest_cpu_float64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3149654Z test_dispatch_meta_nn_functional_interpolate_nearest_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3149850Z test_dispatch_meta_nn_functional_interpolate_trilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3150021Z test_dispatch_meta_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3150190Z test_dispatch_meta_nn_functional_interpolate_trilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3150330Z test_dispatch_meta_nn_functional_kl_div_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3150480Z test_dispatch_meta_nn_functional_kl_div_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3150631Z test_dispatch_meta_nn_functional_kl_div_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3150784Z test_dispatch_meta_nn_functional_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3150939Z test_dispatch_meta_nn_functional_l1_loss_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3151093Z test_dispatch_meta_nn_functional_l1_loss_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3151246Z test_dispatch_meta_nn_functional_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3151393Z test_dispatch_meta_nn_functional_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3151541Z test_dispatch_meta_nn_functional_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3151685Z test_dispatch_meta_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3151841Z test_dispatch_meta_nn_functional_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3151996Z test_dispatch_meta_nn_functional_layer_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3152151Z test_dispatch_meta_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3152303Z test_dispatch_meta_nn_functional_leaky_relu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3152457Z test_dispatch_meta_nn_functional_leaky_relu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3152608Z test_dispatch_meta_nn_functional_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3152764Z test_dispatch_meta_nn_functional_linear_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3152918Z test_dispatch_meta_nn_functional_linear_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3153056Z test_dispatch_meta_nn_functional_linear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3153205Z test_dispatch_meta_nn_functional_linear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3153351Z test_dispatch_meta_nn_functional_linear_cpu_int16 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3153497Z test_dispatch_meta_nn_functional_linear_cpu_int32 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3153642Z test_dispatch_meta_nn_functional_linear_cpu_int64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3153790Z test_dispatch_meta_nn_functional_linear_cpu_int8 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3153938Z test_dispatch_meta_nn_functional_linear_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3154145Z test_dispatch_meta_nn_functional_local_response_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3154298Z test_dispatch_meta_nn_functional_local_response_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3154469Z test_dispatch_meta_nn_functional_local_response_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3154630Z test_dispatch_meta_nn_functional_local_response_norm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3154787Z test_dispatch_meta_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3154971Z test_dispatch_meta_nn_functional_logsigmoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3155130Z test_dispatch_meta_nn_functional_logsigmoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3155297Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3155463Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.041s) 2022-12-01T10:23:49.3155629Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.041s) 2022-12-01T10:23:49.3155780Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3155942Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3156103Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3156266Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3156428Z test_dispatch_meta_nn_functional_margin_ranking_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.3156583Z test_dispatch_meta_nn_functional_max_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (1.052s) 2022-12-01T10:23:49.3156741Z test_dispatch_meta_nn_functional_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (1.043s) 2022-12-01T10:23:49.3156895Z test_dispatch_meta_nn_functional_max_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (1.049s) 2022-12-01T10:23:49.3157051Z test_dispatch_meta_nn_functional_max_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.635s) 2022-12-01T10:23:49.3157189Z test_dispatch_meta_nn_functional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.640s) 2022-12-01T10:23:49.3157338Z test_dispatch_meta_nn_functional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.657s) 2022-12-01T10:23:49.3157495Z test_dispatch_meta_nn_functional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (3.807s) 2022-12-01T10:23:49.3157649Z test_dispatch_meta_nn_functional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (3.808s) 2022-12-01T10:23:49.3157806Z test_dispatch_meta_nn_functional_max_unpool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.977s) 2022-12-01T10:23:49.3157961Z test_dispatch_meta_nn_functional_max_unpool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.974s) 2022-12-01T10:23:49.3158124Z test_dispatch_meta_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.121s) 2022-12-01T10:23:49.3158287Z test_dispatch_meta_nn_functional_max_unpool1d_grad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.141s) 2022-12-01T10:23:49.3158445Z test_dispatch_meta_nn_functional_max_unpool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (1.688s) 2022-12-01T10:23:49.3158590Z test_dispatch_meta_nn_functional_max_unpool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (1.709s) 2022-12-01T10:23:49.3158753Z test_dispatch_meta_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.167s) 2022-12-01T10:23:49.3158916Z test_dispatch_meta_nn_functional_max_unpool2d_grad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.188s) 2022-12-01T10:23:49.3159074Z test_dispatch_meta_nn_functional_max_unpool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.586s) 2022-12-01T10:23:49.3159257Z test_dispatch_meta_nn_functional_max_unpool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.587s) 2022-12-01T10:23:49.3159415Z test_dispatch_meta_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.106s) 2022-12-01T10:23:49.3159577Z test_dispatch_meta_nn_functional_max_unpool3d_grad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.078s) 2022-12-01T10:23:49.3159726Z test_dispatch_meta_nn_functional_mish_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3159874Z test_dispatch_meta_nn_functional_mish_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3160038Z test_dispatch_meta_nn_functional_mse_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3160193Z test_dispatch_meta_nn_functional_mse_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3160344Z test_dispatch_meta_nn_functional_mse_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3160507Z test_dispatch_meta_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3160667Z test_dispatch_meta_nn_functional_multi_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3160835Z test_dispatch_meta_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3161004Z test_dispatch_meta_nn_functional_multilabel_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3161186Z test_dispatch_meta_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3161347Z test_dispatch_meta_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3161517Z test_dispatch_meta_nn_functional_multilabel_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3161675Z test_dispatch_meta_nn_functional_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.205s) 2022-12-01T10:23:49.3161828Z test_dispatch_meta_nn_functional_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.205s) 2022-12-01T10:23:49.3161979Z test_dispatch_meta_nn_functional_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.206s) 2022-12-01T10:23:49.3162135Z test_dispatch_meta_nn_functional_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3162294Z test_dispatch_meta_nn_functional_normalize_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3162453Z test_dispatch_meta_nn_functional_normalize_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3162607Z test_dispatch_meta_nn_functional_normalize_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3162749Z test_dispatch_meta_nn_functional_normalize_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3162900Z test_dispatch_meta_nn_functional_one_hot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.115s) 2022-12-01T10:23:49.3163058Z test_dispatch_meta_nn_functional_pad_circular_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3163210Z test_dispatch_meta_nn_functional_pad_circular_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3163374Z test_dispatch_meta_nn_functional_pad_circular_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3163536Z test_dispatch_meta_nn_functional_pad_circular_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3163698Z test_dispatch_meta_nn_functional_pad_circular_cpu_float16 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3163850Z test_dispatch_meta_nn_functional_pad_circular_cpu_float32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3164010Z test_dispatch_meta_nn_functional_pad_circular_cpu_float64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3164182Z test_dispatch_meta_nn_functional_pad_circular_cpu_int16 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3164337Z test_dispatch_meta_nn_functional_pad_circular_cpu_int32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3164492Z test_dispatch_meta_nn_functional_pad_circular_cpu_int64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3164646Z test_dispatch_meta_nn_functional_pad_circular_cpu_int8 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3164802Z test_dispatch_meta_nn_functional_pad_circular_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3164987Z test_dispatch_meta_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3165141Z test_dispatch_meta_nn_functional_pad_constant_cpu_bool (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3165303Z test_dispatch_meta_nn_functional_pad_constant_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3165469Z test_dispatch_meta_nn_functional_pad_constant_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3165615Z test_dispatch_meta_nn_functional_pad_constant_cpu_float16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3165767Z test_dispatch_meta_nn_functional_pad_constant_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3165918Z test_dispatch_meta_nn_functional_pad_constant_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3166073Z test_dispatch_meta_nn_functional_pad_constant_cpu_int16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3166226Z test_dispatch_meta_nn_functional_pad_constant_cpu_int32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3166385Z test_dispatch_meta_nn_functional_pad_constant_cpu_int64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3166539Z test_dispatch_meta_nn_functional_pad_constant_cpu_int8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3166693Z test_dispatch_meta_nn_functional_pad_constant_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3166845Z test_dispatch_meta_nn_functional_pad_reflect_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3167227Z test_dispatch_meta_nn_functional_pad_reflect_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3167397Z test_dispatch_meta_nn_functional_pad_reflect_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3167554Z test_dispatch_meta_nn_functional_pad_reflect_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3167721Z test_dispatch_meta_nn_functional_pad_replicate_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3167890Z test_dispatch_meta_nn_functional_pad_replicate_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3168051Z test_dispatch_meta_nn_functional_pad_replicate_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3168214Z test_dispatch_meta_nn_functional_pad_replicate_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3168381Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3168538Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3168710Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3168875Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3169038Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3169203Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3169364Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3169578Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3169732Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3169896Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3170046Z test_dispatch_meta_nn_functional_pairwise_distance_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3170198Z test_dispatch_meta_nn_functional_pdist_cpu_float32 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.3170384Z test_dispatch_meta_nn_functional_pdist_cpu_float64 (__main__.TestMetaCPU) ... ok (0.066s) 2022-12-01T10:23:49.3170548Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3170706Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3170873Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3171036Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3171196Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3171451Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3171597Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3171754Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3171910Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3172067Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3172225Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3172378Z test_dispatch_meta_nn_functional_pixel_shuffle_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3172543Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3172703Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3172870Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3173024Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3173188Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3173346Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3173503Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3173662Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3173817Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3173976Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3174134Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3174292Z test_dispatch_meta_nn_functional_pixel_unshuffle_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3174444Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.195s) 2022-12-01T10:23:49.3174605Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.199s) 2022-12-01T10:23:49.3174800Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3174961Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.197s) 2022-12-01T10:23:49.3175116Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.197s) 2022-12-01T10:23:49.3175268Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.197s) 2022-12-01T10:23:49.3175422Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.197s) 2022-12-01T10:23:49.3175608Z test_dispatch_meta_nn_functional_poisson_nll_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.197s) 2022-12-01T10:23:49.3175760Z test_dispatch_meta_nn_functional_prelu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3175899Z test_dispatch_meta_nn_functional_prelu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3176050Z test_dispatch_meta_nn_functional_prelu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3176200Z test_dispatch_meta_nn_functional_relu6_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3176347Z test_dispatch_meta_nn_functional_relu6_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3176496Z test_dispatch_meta_nn_functional_relu6_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3176639Z test_dispatch_meta_nn_functional_relu6_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3176788Z test_dispatch_meta_nn_functional_relu6_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3176933Z test_dispatch_meta_nn_functional_relu6_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3177066Z test_dispatch_meta_nn_functional_relu6_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3177216Z test_dispatch_meta_nn_functional_relu6_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3177362Z test_dispatch_meta_nn_functional_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3177509Z test_dispatch_meta_nn_functional_relu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3177657Z test_dispatch_meta_nn_functional_relu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3177803Z test_dispatch_meta_nn_functional_relu_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3177945Z test_dispatch_meta_nn_functional_relu_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3178094Z test_dispatch_meta_nn_functional_relu_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3178239Z test_dispatch_meta_nn_functional_relu_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3178371Z test_dispatch_meta_nn_functional_relu_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3178523Z test_dispatch_meta_nn_functional_rrelu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3178671Z test_dispatch_meta_nn_functional_rrelu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3178817Z test_dispatch_meta_nn_functional_rrelu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3178961Z test_dispatch_meta_nn_functional_selu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3179108Z test_dispatch_meta_nn_functional_selu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3179254Z test_dispatch_meta_nn_functional_selu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3179416Z test_dispatch_meta_nn_functional_silu_complex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3179565Z test_dispatch_meta_nn_functional_silu_complex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3179743Z test_dispatch_meta_nn_functional_silu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3179889Z test_dispatch_meta_nn_functional_silu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3180038Z test_dispatch_meta_nn_functional_silu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3180198Z test_dispatch_meta_nn_functional_smooth_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3180356Z test_dispatch_meta_nn_functional_smooth_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3180536Z test_dispatch_meta_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3180689Z test_dispatch_meta_nn_functional_smooth_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3180851Z test_dispatch_meta_nn_functional_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3181003Z test_dispatch_meta_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3181164Z test_dispatch_meta_nn_functional_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3181319Z test_dispatch_meta_nn_functional_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3181469Z test_dispatch_meta_nn_functional_softmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3181619Z test_dispatch_meta_nn_functional_softmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3181787Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3181955Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3182120Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3182284Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3182430Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3182593Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3182754Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3182914Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3183077Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3183235Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3183392Z test_dispatch_meta_nn_functional_softmin_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3183548Z test_dispatch_meta_nn_functional_softplus_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3183701Z test_dispatch_meta_nn_functional_softplus_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3183842Z test_dispatch_meta_nn_functional_softplus_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3183999Z test_dispatch_meta_nn_functional_softshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3184153Z test_dispatch_meta_nn_functional_softshrink_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3184310Z test_dispatch_meta_nn_functional_softshrink_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3184463Z test_dispatch_meta_nn_functional_softsign_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3184619Z test_dispatch_meta_nn_functional_softsign_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3184803Z test_dispatch_meta_nn_functional_softsign_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3184955Z test_dispatch_meta_nn_functional_softsign_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3185096Z test_dispatch_meta_nn_functional_softsign_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3185250Z test_dispatch_meta_nn_functional_softsign_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3185402Z test_dispatch_meta_nn_functional_softsign_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3185575Z test_dispatch_meta_nn_functional_softsign_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3185725Z test_dispatch_meta_nn_functional_softsign_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3185873Z test_dispatch_meta_nn_functional_softsign_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3186022Z test_dispatch_meta_nn_functional_softsign_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3186179Z test_dispatch_meta_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3186338Z test_dispatch_meta_nn_functional_tanhshrink_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3186485Z test_dispatch_meta_nn_functional_tanhshrink_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3186640Z test_dispatch_meta_nn_functional_tanhshrink_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3186796Z test_dispatch_meta_nn_functional_tanhshrink_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3186948Z test_dispatch_meta_nn_functional_tanhshrink_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3187100Z test_dispatch_meta_nn_functional_tanhshrink_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3187252Z test_dispatch_meta_nn_functional_tanhshrink_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3187405Z test_dispatch_meta_nn_functional_tanhshrink_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3187555Z test_dispatch_meta_nn_functional_tanhshrink_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3187709Z test_dispatch_meta_nn_functional_threshold_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3187850Z test_dispatch_meta_nn_functional_threshold_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3188005Z test_dispatch_meta_nn_functional_threshold_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3188159Z test_dispatch_meta_nn_functional_threshold_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3188310Z test_dispatch_meta_nn_functional_threshold_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3188456Z test_dispatch_meta_nn_functional_threshold_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3188608Z test_dispatch_meta_nn_functional_threshold_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3188757Z test_dispatch_meta_nn_functional_threshold_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3188924Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3189081Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3189250Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3189417Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3189581Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3189745Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3189949Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3190111Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3190273Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3190434Z test_dispatch_meta_nn_functional_triplet_margin_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3190630Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3190816Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3191000Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3191182Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3191361Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3191538Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3191715Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3191891Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3192069Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3192240Z test_dispatch_meta_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3192381Z test_dispatch_meta_nn_functional_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.155s) 2022-12-01T10:23:49.3192538Z test_dispatch_meta_nn_functional_unfold_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.170s) 2022-12-01T10:23:49.3192694Z test_dispatch_meta_nn_functional_unfold_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.168s) 2022-12-01T10:23:49.3192846Z test_dispatch_meta_nn_functional_unfold_cpu_float16 (__main__.TestMetaCPU) ... ok (0.155s) 2022-12-01T10:23:49.3192996Z test_dispatch_meta_nn_functional_unfold_cpu_float32 (__main__.TestMetaCPU) ... ok (0.155s) 2022-12-01T10:23:49.3193144Z test_dispatch_meta_nn_functional_unfold_cpu_float64 (__main__.TestMetaCPU) ... ok (0.162s) 2022-12-01T10:23:49.3193310Z test_dispatch_meta_nn_functional_upsample_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3193475Z test_dispatch_meta_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3193637Z test_dispatch_meta_nn_functional_upsample_bilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3193790Z test_dispatch_meta_nn_functional_upsample_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3193951Z test_dispatch_meta_nn_functional_upsample_nearest_cpu_float32 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3194113Z test_dispatch_meta_nn_functional_upsample_nearest_cpu_float64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3194275Z test_dispatch_meta_nn_functional_upsample_nearest_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3194415Z test_dispatch_meta_nonzero_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3194552Z test_dispatch_meta_nonzero_cpu_bool (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3194696Z test_dispatch_meta_nonzero_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3194867Z test_dispatch_meta_nonzero_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.211s) 2022-12-01T10:23:49.3194994Z test_dispatch_meta_nonzero_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3195130Z test_dispatch_meta_nonzero_cpu_float16 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3195267Z test_dispatch_meta_nonzero_cpu_float32 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3195403Z test_dispatch_meta_nonzero_cpu_float64 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3195534Z test_dispatch_meta_nonzero_cpu_int16 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3195694Z test_dispatch_meta_nonzero_cpu_int32 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3195828Z test_dispatch_meta_nonzero_cpu_int64 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3195961Z test_dispatch_meta_nonzero_cpu_int8 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3196082Z test_dispatch_meta_nonzero_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.210s) 2022-12-01T10:23:49.3196218Z test_dispatch_meta_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3196353Z test_dispatch_meta_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3196490Z test_dispatch_meta_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.034s) 2022-12-01T10:23:49.3196623Z test_dispatch_meta_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3196755Z test_dispatch_meta_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3196886Z test_dispatch_meta_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3197026Z test_dispatch_meta_norm_fro_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3197157Z test_dispatch_meta_norm_fro_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3197298Z test_dispatch_meta_norm_fro_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3197438Z test_dispatch_meta_norm_fro_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3197574Z test_dispatch_meta_norm_fro_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3197708Z test_dispatch_meta_norm_inf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3197849Z test_dispatch_meta_norm_inf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3197987Z test_dispatch_meta_norm_inf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3198122Z test_dispatch_meta_norm_inf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3198257Z test_dispatch_meta_norm_inf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3198381Z test_dispatch_meta_norm_inf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3198519Z test_dispatch_meta_norm_nuc_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3198659Z test_dispatch_meta_norm_nuc_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3198791Z test_dispatch_meta_norm_nuc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3198925Z test_dispatch_meta_norm_nuc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3199062Z test_dispatch_meta_normal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3199197Z test_dispatch_meta_normal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3199333Z test_dispatch_meta_normal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3199458Z test_dispatch_meta_normal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3199611Z test_dispatch_meta_normal_number_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3199758Z test_dispatch_meta_normal_number_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3199935Z test_dispatch_meta_normal_number_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3200081Z test_dispatch_meta_normal_number_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3200216Z test_dispatch_meta_ones_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3200347Z test_dispatch_meta_ones_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3200484Z test_dispatch_meta_ones_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3200608Z test_dispatch_meta_ones_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3200769Z test_dispatch_meta_ones_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3200905Z test_dispatch_meta_ones_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201036Z test_dispatch_meta_ones_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201163Z test_dispatch_meta_ones_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201295Z test_dispatch_meta_ones_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201423Z test_dispatch_meta_ones_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201550Z test_dispatch_meta_ones_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201668Z test_dispatch_meta_ones_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201796Z test_dispatch_meta_ones_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3201935Z test_dispatch_meta_ones_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3202069Z test_dispatch_meta_ones_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3202213Z test_dispatch_meta_ones_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3202354Z test_dispatch_meta_ones_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3202495Z test_dispatch_meta_ones_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3202631Z test_dispatch_meta_ones_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3202756Z test_dispatch_meta_ones_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3202891Z test_dispatch_meta_ones_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3203025Z test_dispatch_meta_ones_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3203160Z test_dispatch_meta_ones_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3203295Z test_dispatch_meta_ones_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3203429Z test_dispatch_meta_ones_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3203560Z test_dispatch_meta_ones_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3203700Z test_dispatch_meta_ormqr_cpu_complex128 (__main__.TestMetaCPU) ... ok (1.777s) 2022-12-01T10:23:49.3203824Z test_dispatch_meta_ormqr_cpu_complex64 (__main__.TestMetaCPU) ... ok (1.886s) 2022-12-01T10:23:49.3203961Z test_dispatch_meta_ormqr_cpu_float32 (__main__.TestMetaCPU) ... ok (1.768s) 2022-12-01T10:23:49.3204094Z test_dispatch_meta_ormqr_cpu_float64 (__main__.TestMetaCPU) ... ok (1.768s) 2022-12-01T10:23:49.3204227Z test_dispatch_meta_outer_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3204359Z test_dispatch_meta_outer_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3204496Z test_dispatch_meta_outer_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3204631Z test_dispatch_meta_outer_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3204765Z test_dispatch_meta_outer_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3204885Z test_dispatch_meta_outer_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3205044Z test_dispatch_meta_outer_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3205175Z test_dispatch_meta_outer_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3205306Z test_dispatch_meta_outer_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3205435Z test_dispatch_meta_outer_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3205566Z test_dispatch_meta_outer_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3205696Z test_dispatch_meta_outer_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3205864Z test_dispatch_meta_pca_lowrank_cpu_float32 (__main__.TestMetaCPU) ... ok (2.029s) 2022-12-01T10:23:49.3205992Z test_dispatch_meta_pca_lowrank_cpu_float64 (__main__.TestMetaCPU) ... ok (2.023s) 2022-12-01T10:23:49.3206131Z test_dispatch_meta_permute_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3206266Z test_dispatch_meta_permute_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3206409Z test_dispatch_meta_permute_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3206548Z test_dispatch_meta_permute_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3206687Z test_dispatch_meta_permute_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3206823Z test_dispatch_meta_permute_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3207095Z test_dispatch_meta_permute_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3207233Z test_dispatch_meta_permute_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3207358Z test_dispatch_meta_permute_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3207493Z test_dispatch_meta_permute_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3207626Z test_dispatch_meta_permute_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3207763Z test_dispatch_meta_permute_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3207896Z test_dispatch_meta_permute_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3208042Z test_dispatch_meta_pinverse_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3208184Z test_dispatch_meta_pinverse_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3208323Z test_dispatch_meta_pinverse_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3208449Z test_dispatch_meta_pinverse_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3208586Z test_dispatch_meta_polar_cpu_float32 (__main__.TestMetaCPU) ... ok (0.111s) 2022-12-01T10:23:49.3208720Z test_dispatch_meta_polar_cpu_float64 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3208880Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3209036Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3209193Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3209349Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3209503Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3209642Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3209789Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3209942Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3210095Z test_dispatch_meta_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3210252Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3210450Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3210605Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3210760Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3210911Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3211050Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3211334Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3211496Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3211648Z test_dispatch_meta_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3211807Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3211960Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3212116Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3212269Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3212405Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3212558Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3212704Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3212854Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3213003Z test_dispatch_meta_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3213164Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3213316Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3213469Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3213625Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3213761Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3213914Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3214063Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3214213Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3214365Z test_dispatch_meta_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3214520Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3214672Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3214824Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3214978Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3215116Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3215265Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3215415Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3215595Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3215744Z test_dispatch_meta_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3215886Z test_dispatch_meta_positive_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3216033Z test_dispatch_meta_positive_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3216176Z test_dispatch_meta_positive_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3216356Z test_dispatch_meta_positive_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3216559Z test_dispatch_meta_positive_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3216750Z test_dispatch_meta_positive_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3216888Z test_dispatch_meta_positive_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3217027Z test_dispatch_meta_positive_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3217162Z test_dispatch_meta_positive_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3217295Z test_dispatch_meta_positive_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3217430Z test_dispatch_meta_positive_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3217551Z test_dispatch_meta_positive_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3217684Z test_dispatch_meta_pow_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3217822Z test_dispatch_meta_pow_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3217957Z test_dispatch_meta_pow_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3218090Z test_dispatch_meta_pow_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3218223Z test_dispatch_meta_pow_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3218351Z test_dispatch_meta_pow_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3218480Z test_dispatch_meta_pow_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3218595Z test_dispatch_meta_pow_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3218720Z test_dispatch_meta_pow_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3218849Z test_dispatch_meta_pow_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3218978Z test_dispatch_meta_pow_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3219110Z test_dispatch_meta_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3219250Z test_dispatch_meta_prod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3219388Z test_dispatch_meta_prod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3219524Z test_dispatch_meta_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3219645Z test_dispatch_meta_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3219776Z test_dispatch_meta_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3219905Z test_dispatch_meta_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3220029Z test_dispatch_meta_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3220155Z test_dispatch_meta_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3220286Z test_dispatch_meta_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3220517Z test_dispatch_meta_put_cpu_bfloat16 (__main__.TestMetaCPU) ... Exception ignored in: . at 0x7faea8a4f7d0> 2022-12-01T10:23:49.3220612Z Traceback (most recent call last): 2022-12-01T10:23:49.3221021Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py", line 4357, in 2022-12-01T10:23:49.3221130Z tgt_gen = (make_arg(size) for size in tgt_sizes) 2022-12-01T10:23:49.3221243Z SystemError: error return without exception set 2022-12-01T10:23:49.3221310Z ok (0.012s) 2022-12-01T10:23:49.3221443Z test_dispatch_meta_put_cpu_bool (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3221581Z test_dispatch_meta_put_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3221717Z test_dispatch_meta_put_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3221880Z test_dispatch_meta_put_cpu_float16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3221999Z test_dispatch_meta_put_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3222131Z test_dispatch_meta_put_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3222261Z test_dispatch_meta_put_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3222390Z test_dispatch_meta_put_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3222519Z test_dispatch_meta_put_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3222648Z test_dispatch_meta_put_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3222774Z test_dispatch_meta_put_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3222912Z test_dispatch_meta_qr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3223033Z test_dispatch_meta_qr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3223166Z test_dispatch_meta_qr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3223299Z test_dispatch_meta_qr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3223437Z test_dispatch_meta_quantile_cpu_float32 (__main__.TestMetaCPU) ... ok (1.616s) 2022-12-01T10:23:49.3223575Z test_dispatch_meta_quantile_cpu_float64 (__main__.TestMetaCPU) ... ok (1.621s) 2022-12-01T10:23:49.3223713Z test_dispatch_meta_rad2deg_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3223847Z test_dispatch_meta_rad2deg_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3223984Z test_dispatch_meta_rad2deg_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3224110Z test_dispatch_meta_rad2deg_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3224247Z test_dispatch_meta_rad2deg_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3224382Z test_dispatch_meta_rad2deg_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3224516Z test_dispatch_meta_rad2deg_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3224649Z test_dispatch_meta_rad2deg_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3224781Z test_dispatch_meta_rad2deg_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3224914Z test_dispatch_meta_rad2deg_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3225056Z test_dispatch_meta_rand_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3225186Z test_dispatch_meta_rand_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3225330Z test_dispatch_meta_rand_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3225468Z test_dispatch_meta_rand_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3225606Z test_dispatch_meta_rand_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3225745Z test_dispatch_meta_rand_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3225883Z test_dispatch_meta_rand_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3226026Z test_dispatch_meta_randint_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3226213Z test_dispatch_meta_randint_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3226338Z test_dispatch_meta_randint_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3226474Z test_dispatch_meta_randint_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3226614Z test_dispatch_meta_randint_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3226748Z test_dispatch_meta_randint_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3226882Z test_dispatch_meta_randint_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3227043Z test_dispatch_meta_randint_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3227185Z test_dispatch_meta_randint_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3227319Z test_dispatch_meta_randn_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3227461Z test_dispatch_meta_randn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3227586Z test_dispatch_meta_randn_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3227724Z test_dispatch_meta_randn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3227858Z test_dispatch_meta_randn_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3227993Z test_dispatch_meta_randn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3228124Z test_dispatch_meta_randn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3228269Z test_dispatch_meta_randn_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3228415Z test_dispatch_meta_randn_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3228557Z test_dispatch_meta_randn_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3228686Z test_dispatch_meta_randn_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3228827Z test_dispatch_meta_randn_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3228961Z test_dispatch_meta_randn_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3229095Z test_dispatch_meta_randn_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3229230Z test_dispatch_meta_ravel_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3229362Z test_dispatch_meta_ravel_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3229502Z test_dispatch_meta_ravel_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3229642Z test_dispatch_meta_ravel_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3229765Z test_dispatch_meta_ravel_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3229897Z test_dispatch_meta_ravel_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3230031Z test_dispatch_meta_ravel_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3230160Z test_dispatch_meta_ravel_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3230291Z test_dispatch_meta_ravel_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3230419Z test_dispatch_meta_ravel_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3230546Z test_dispatch_meta_ravel_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3230676Z test_dispatch_meta_ravel_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3230792Z test_dispatch_meta_ravel_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3230925Z test_dispatch_meta_real_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3231055Z test_dispatch_meta_real_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3231191Z test_dispatch_meta_real_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3231358Z test_dispatch_meta_real_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3231493Z test_dispatch_meta_real_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3231626Z test_dispatch_meta_real_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3231759Z test_dispatch_meta_real_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3231879Z test_dispatch_meta_real_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3232006Z test_dispatch_meta_real_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3232163Z test_dispatch_meta_real_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3232291Z test_dispatch_meta_real_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3232421Z test_dispatch_meta_real_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3232555Z test_dispatch_meta_real_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3232699Z test_dispatch_meta_reciprocal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3232838Z test_dispatch_meta_reciprocal_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3232974Z test_dispatch_meta_reciprocal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3233119Z test_dispatch_meta_reciprocal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3233259Z test_dispatch_meta_reciprocal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3233398Z test_dispatch_meta_reciprocal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3233539Z test_dispatch_meta_reciprocal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3233677Z test_dispatch_meta_reciprocal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3233818Z test_dispatch_meta_reciprocal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3233957Z test_dispatch_meta_reciprocal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3234083Z test_dispatch_meta_reciprocal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3234220Z test_dispatch_meta_reciprocal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3234360Z test_dispatch_meta_remainder_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3234499Z test_dispatch_meta_remainder_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3234640Z test_dispatch_meta_remainder_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3234779Z test_dispatch_meta_remainder_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3234916Z test_dispatch_meta_remainder_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3235050Z test_dispatch_meta_remainder_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3235175Z test_dispatch_meta_remainder_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3235312Z test_dispatch_meta_remainder_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3235444Z test_dispatch_meta_remainder_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3235578Z test_dispatch_meta_renorm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3235715Z test_dispatch_meta_renorm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3235853Z test_dispatch_meta_renorm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3235989Z test_dispatch_meta_renorm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3236122Z test_dispatch_meta_renorm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3236242Z test_dispatch_meta_renorm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3236404Z test_dispatch_meta_repeat_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3236539Z test_dispatch_meta_repeat_cpu_bool (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3236681Z test_dispatch_meta_repeat_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3236820Z test_dispatch_meta_repeat_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3236953Z test_dispatch_meta_repeat_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3237087Z test_dispatch_meta_repeat_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3237252Z test_dispatch_meta_repeat_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3237388Z test_dispatch_meta_repeat_cpu_int16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3237509Z test_dispatch_meta_repeat_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3237641Z test_dispatch_meta_repeat_cpu_int64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3237775Z test_dispatch_meta_repeat_cpu_int8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3237906Z test_dispatch_meta_repeat_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3238055Z test_dispatch_meta_repeat_interleave_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3238203Z test_dispatch_meta_repeat_interleave_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3238357Z test_dispatch_meta_repeat_interleave_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3238508Z test_dispatch_meta_repeat_interleave_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3238649Z test_dispatch_meta_repeat_interleave_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3238797Z test_dispatch_meta_repeat_interleave_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3238945Z test_dispatch_meta_repeat_interleave_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3239093Z test_dispatch_meta_repeat_interleave_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3239239Z test_dispatch_meta_repeat_interleave_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3239384Z test_dispatch_meta_repeat_interleave_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3239529Z test_dispatch_meta_repeat_interleave_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3239674Z test_dispatch_meta_repeat_interleave_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3239806Z test_dispatch_meta_repeat_interleave_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3239948Z test_dispatch_meta_reshape_as_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3240086Z test_dispatch_meta_reshape_as_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3240232Z test_dispatch_meta_reshape_as_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3240376Z test_dispatch_meta_reshape_as_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3240516Z test_dispatch_meta_reshape_as_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3240655Z test_dispatch_meta_reshape_as_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3240796Z test_dispatch_meta_reshape_as_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3240919Z test_dispatch_meta_reshape_as_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3241058Z test_dispatch_meta_reshape_as_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3241195Z test_dispatch_meta_reshape_as_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3241329Z test_dispatch_meta_reshape_as_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3241466Z test_dispatch_meta_reshape_as_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3241629Z test_dispatch_meta_reshape_as_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3241765Z test_dispatch_meta_reshape_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3241899Z test_dispatch_meta_reshape_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3242044Z test_dispatch_meta_reshape_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3242172Z test_dispatch_meta_reshape_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3242312Z test_dispatch_meta_reshape_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3242478Z test_dispatch_meta_reshape_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3242616Z test_dispatch_meta_reshape_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3242753Z test_dispatch_meta_reshape_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3242889Z test_dispatch_meta_reshape_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3243026Z test_dispatch_meta_reshape_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3243157Z test_dispatch_meta_reshape_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3243279Z test_dispatch_meta_reshape_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3243412Z test_dispatch_meta_reshape_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3243549Z test_dispatch_meta_resize__cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3243683Z test_dispatch_meta_resize__cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3243823Z test_dispatch_meta_resize__cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3243962Z test_dispatch_meta_resize__cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3244099Z test_dispatch_meta_resize__cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3244233Z test_dispatch_meta_resize__cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3244356Z test_dispatch_meta_resize__cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3244490Z test_dispatch_meta_resize__cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3244623Z test_dispatch_meta_resize__cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3244751Z test_dispatch_meta_resize__cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3244884Z test_dispatch_meta_resize__cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245016Z test_dispatch_meta_resize__cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245158Z test_dispatch_meta_resize_as__cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245292Z test_dispatch_meta_resize_as__cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245426Z test_dispatch_meta_resize_as__cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245569Z test_dispatch_meta_resize_as__cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245708Z test_dispatch_meta_resize_as__cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245846Z test_dispatch_meta_resize_as__cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3245980Z test_dispatch_meta_resize_as__cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3246115Z test_dispatch_meta_resize_as__cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3246252Z test_dispatch_meta_resize_as__cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3246387Z test_dispatch_meta_resize_as__cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3246509Z test_dispatch_meta_resize_as__cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3246674Z test_dispatch_meta_resize_as__cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3246817Z test_dispatch_meta_resolve_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3247087Z test_dispatch_meta_resolve_conj_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3247290Z test_dispatch_meta_resolve_conj_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3247440Z test_dispatch_meta_resolve_conj_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3247583Z test_dispatch_meta_resolve_conj_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3247787Z test_dispatch_meta_resolve_conj_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3247911Z test_dispatch_meta_resolve_conj_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3248053Z test_dispatch_meta_resolve_conj_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3248194Z test_dispatch_meta_resolve_conj_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3248329Z test_dispatch_meta_resolve_conj_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3248468Z test_dispatch_meta_resolve_conj_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3248607Z test_dispatch_meta_resolve_conj_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3248748Z test_dispatch_meta_resolve_neg_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3248888Z test_dispatch_meta_resolve_neg_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3249035Z test_dispatch_meta_resolve_neg_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3249167Z test_dispatch_meta_resolve_neg_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3249311Z test_dispatch_meta_resolve_neg_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3249455Z test_dispatch_meta_resolve_neg_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3249592Z test_dispatch_meta_resolve_neg_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3249726Z test_dispatch_meta_resolve_neg_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3249865Z test_dispatch_meta_resolve_neg_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3250004Z test_dispatch_meta_resolve_neg_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3250141Z test_dispatch_meta_resolve_neg_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3250266Z test_dispatch_meta_resolve_neg_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3250402Z test_dispatch_meta_resolve_neg_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3250536Z test_dispatch_meta_roll_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3250667Z test_dispatch_meta_roll_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3250806Z test_dispatch_meta_roll_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3250943Z test_dispatch_meta_roll_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3251078Z test_dispatch_meta_roll_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3251276Z test_dispatch_meta_roll_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3251401Z test_dispatch_meta_roll_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3251532Z test_dispatch_meta_roll_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3251666Z test_dispatch_meta_roll_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3251797Z test_dispatch_meta_roll_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3251928Z test_dispatch_meta_roll_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3252097Z test_dispatch_meta_roll_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3252231Z test_dispatch_meta_roll_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3252365Z test_dispatch_meta_rot90_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3252480Z test_dispatch_meta_rot90_cpu_bool (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3252620Z test_dispatch_meta_rot90_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3252758Z test_dispatch_meta_rot90_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3252919Z test_dispatch_meta_rot90_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3253052Z test_dispatch_meta_rot90_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3253183Z test_dispatch_meta_rot90_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3253314Z test_dispatch_meta_rot90_cpu_int16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3253446Z test_dispatch_meta_rot90_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3253561Z test_dispatch_meta_rot90_cpu_int64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3253690Z test_dispatch_meta_rot90_cpu_int8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3253819Z test_dispatch_meta_rot90_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3253953Z test_dispatch_meta_round_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254086Z test_dispatch_meta_round_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254221Z test_dispatch_meta_round_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254351Z test_dispatch_meta_round_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254482Z test_dispatch_meta_round_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254597Z test_dispatch_meta_round_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254726Z test_dispatch_meta_round_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254852Z test_dispatch_meta_round_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3254998Z test_dispatch_meta_round_decimals_0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3255145Z test_dispatch_meta_round_decimals_0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3255290Z test_dispatch_meta_round_decimals_0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3255438Z test_dispatch_meta_round_decimals_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3255583Z test_dispatch_meta_round_decimals_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3255711Z test_dispatch_meta_round_decimals_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3255865Z test_dispatch_meta_round_decimals_neg_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256013Z test_dispatch_meta_round_decimals_neg_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256163Z test_dispatch_meta_round_decimals_neg_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256297Z test_dispatch_meta_rsqrt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256427Z test_dispatch_meta_rsqrt_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256566Z test_dispatch_meta_rsqrt_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256706Z test_dispatch_meta_rsqrt_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256840Z test_dispatch_meta_rsqrt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3256959Z test_dispatch_meta_rsqrt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3257119Z test_dispatch_meta_rsqrt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3257250Z test_dispatch_meta_rsqrt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3257381Z test_dispatch_meta_rsqrt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3257513Z test_dispatch_meta_rsqrt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3257641Z test_dispatch_meta_rsqrt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3257774Z test_dispatch_meta_rsub_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3257913Z test_dispatch_meta_rsub_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3258063Z test_dispatch_meta_rsub_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3258198Z test_dispatch_meta_rsub_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3258330Z test_dispatch_meta_rsub_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3258462Z test_dispatch_meta_rsub_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3258592Z test_dispatch_meta_rsub_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3258720Z test_dispatch_meta_rsub_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3258848Z test_dispatch_meta_rsub_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3258978Z test_dispatch_meta_rsub_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3259094Z test_dispatch_meta_rsub_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3259239Z test_dispatch_meta_scatter_add_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3259378Z test_dispatch_meta_scatter_add_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3259524Z test_dispatch_meta_scatter_add_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3259669Z test_dispatch_meta_scatter_add_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3259811Z test_dispatch_meta_scatter_add_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3259948Z test_dispatch_meta_scatter_add_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3260081Z test_dispatch_meta_scatter_add_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3260207Z test_dispatch_meta_scatter_add_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3260344Z test_dispatch_meta_scatter_add_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3260481Z test_dispatch_meta_scatter_add_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3260620Z test_dispatch_meta_scatter_add_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3260756Z test_dispatch_meta_scatter_add_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3260895Z test_dispatch_meta_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3261031Z test_dispatch_meta_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3261175Z test_dispatch_meta_scatter_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3261301Z test_dispatch_meta_scatter_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3261438Z test_dispatch_meta_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3261574Z test_dispatch_meta_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3261709Z test_dispatch_meta_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3261844Z test_dispatch_meta_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3261977Z test_dispatch_meta_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3262112Z test_dispatch_meta_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3262288Z test_dispatch_meta_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3262409Z test_dispatch_meta_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3262560Z test_dispatch_meta_scatter_reduce_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3262708Z test_dispatch_meta_scatter_reduce_amax_cpu_bool (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3262859Z test_dispatch_meta_scatter_reduce_amax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3263007Z test_dispatch_meta_scatter_reduce_amax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3263184Z test_dispatch_meta_scatter_reduce_amax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3263332Z test_dispatch_meta_scatter_reduce_amax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3263480Z test_dispatch_meta_scatter_reduce_amax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3263628Z test_dispatch_meta_scatter_reduce_amax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3263761Z test_dispatch_meta_scatter_reduce_amax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3263908Z test_dispatch_meta_scatter_reduce_amax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3264058Z test_dispatch_meta_scatter_reduce_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3264202Z test_dispatch_meta_scatter_reduce_amin_cpu_bool (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3264355Z test_dispatch_meta_scatter_reduce_amin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3264503Z test_dispatch_meta_scatter_reduce_amin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3264651Z test_dispatch_meta_scatter_reduce_amin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3264796Z test_dispatch_meta_scatter_reduce_amin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3264930Z test_dispatch_meta_scatter_reduce_amin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3265076Z test_dispatch_meta_scatter_reduce_amin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3265218Z test_dispatch_meta_scatter_reduce_amin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3265363Z test_dispatch_meta_scatter_reduce_amin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3265513Z test_dispatch_meta_scatter_reduce_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3265661Z test_dispatch_meta_scatter_reduce_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3265810Z test_dispatch_meta_scatter_reduce_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3265960Z test_dispatch_meta_scatter_reduce_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3266094Z test_dispatch_meta_scatter_reduce_mean_cpu_int16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3266236Z test_dispatch_meta_scatter_reduce_mean_cpu_int32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3266381Z test_dispatch_meta_scatter_reduce_mean_cpu_int64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3266524Z test_dispatch_meta_scatter_reduce_mean_cpu_int8 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3266668Z test_dispatch_meta_scatter_reduce_mean_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3266820Z test_dispatch_meta_scatter_reduce_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3266970Z test_dispatch_meta_scatter_reduce_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3267118Z test_dispatch_meta_scatter_reduce_prod_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3267264Z test_dispatch_meta_scatter_reduce_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3267429Z test_dispatch_meta_scatter_reduce_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3267574Z test_dispatch_meta_scatter_reduce_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3267717Z test_dispatch_meta_scatter_reduce_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3267862Z test_dispatch_meta_scatter_reduce_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3268005Z test_dispatch_meta_scatter_reduce_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3268177Z test_dispatch_meta_scatter_reduce_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3268326Z test_dispatch_meta_scatter_reduce_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3268472Z test_dispatch_meta_scatter_reduce_sum_cpu_bool (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3268610Z test_dispatch_meta_scatter_reduce_sum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3268758Z test_dispatch_meta_scatter_reduce_sum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3268905Z test_dispatch_meta_scatter_reduce_sum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3269048Z test_dispatch_meta_scatter_reduce_sum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3269191Z test_dispatch_meta_scatter_reduce_sum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3269334Z test_dispatch_meta_scatter_reduce_sum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3269481Z test_dispatch_meta_scatter_reduce_sum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3269625Z test_dispatch_meta_scatter_reduce_sum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3269771Z test_dispatch_meta_searchsorted_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (2.350s) 2022-12-01T10:23:49.3269905Z test_dispatch_meta_searchsorted_cpu_float16 (__main__.TestMetaCPU) ... ok (2.372s) 2022-12-01T10:23:49.3270046Z test_dispatch_meta_searchsorted_cpu_float32 (__main__.TestMetaCPU) ... ok (2.349s) 2022-12-01T10:23:49.3270184Z test_dispatch_meta_searchsorted_cpu_float64 (__main__.TestMetaCPU) ... ok (2.350s) 2022-12-01T10:23:49.3270327Z test_dispatch_meta_searchsorted_cpu_int16 (__main__.TestMetaCPU) ... ok (2.347s) 2022-12-01T10:23:49.3270470Z test_dispatch_meta_searchsorted_cpu_int32 (__main__.TestMetaCPU) ... ok (2.342s) 2022-12-01T10:23:49.3270605Z test_dispatch_meta_searchsorted_cpu_int64 (__main__.TestMetaCPU) ... ok (2.341s) 2022-12-01T10:23:49.3270748Z test_dispatch_meta_searchsorted_cpu_int8 (__main__.TestMetaCPU) ... ok (2.451s) 2022-12-01T10:23:49.3270890Z test_dispatch_meta_searchsorted_cpu_uint8 (__main__.TestMetaCPU) ... ok (2.342s) 2022-12-01T10:23:49.3271034Z test_dispatch_meta_segment_reduce_lengths_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.499s) 2022-12-01T10:23:49.3271191Z test_dispatch_meta_segment_reduce_lengths_cpu_float16 (__main__.TestMetaCPU) ... ok (0.500s) 2022-12-01T10:23:49.3271344Z test_dispatch_meta_segment_reduce_lengths_cpu_float32 (__main__.TestMetaCPU) ... ok (0.500s) 2022-12-01T10:23:49.3271496Z test_dispatch_meta_segment_reduce_lengths_cpu_float64 (__main__.TestMetaCPU) ... ok (0.503s) 2022-12-01T10:23:49.3271651Z test_dispatch_meta_segment_reduce_offsets_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.499s) 2022-12-01T10:23:49.3271809Z test_dispatch_meta_segment_reduce_offsets_cpu_float16 (__main__.TestMetaCPU) ... ok (0.499s) 2022-12-01T10:23:49.3271957Z test_dispatch_meta_segment_reduce_offsets_cpu_float32 (__main__.TestMetaCPU) ... ok (0.500s) 2022-12-01T10:23:49.3272108Z test_dispatch_meta_segment_reduce_offsets_cpu_float64 (__main__.TestMetaCPU) ... ok (0.502s) 2022-12-01T10:23:49.3272245Z test_dispatch_meta_select_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3272391Z test_dispatch_meta_select_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3272531Z test_dispatch_meta_select_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3272671Z test_dispatch_meta_select_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3272810Z test_dispatch_meta_select_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3272946Z test_dispatch_meta_select_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3273081Z test_dispatch_meta_select_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3273241Z test_dispatch_meta_select_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3273375Z test_dispatch_meta_select_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3273495Z test_dispatch_meta_select_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3273625Z test_dispatch_meta_select_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3273759Z test_dispatch_meta_select_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3273889Z test_dispatch_meta_select_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3274035Z test_dispatch_meta_select_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3274179Z test_dispatch_meta_select_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3274327Z test_dispatch_meta_select_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3274471Z test_dispatch_meta_select_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3274604Z test_dispatch_meta_select_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3274748Z test_dispatch_meta_select_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3274886Z test_dispatch_meta_select_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3275028Z test_dispatch_meta_select_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3275168Z test_dispatch_meta_select_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3275308Z test_dispatch_meta_select_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3275439Z test_dispatch_meta_sgn_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3275568Z test_dispatch_meta_sgn_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3275691Z test_dispatch_meta_sgn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3275828Z test_dispatch_meta_sgn_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3275964Z test_dispatch_meta_sgn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276094Z test_dispatch_meta_sgn_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276228Z test_dispatch_meta_sgn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276356Z test_dispatch_meta_sgn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276485Z test_dispatch_meta_sgn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276610Z test_dispatch_meta_sgn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276725Z test_dispatch_meta_sgn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276852Z test_dispatch_meta_sgn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3276981Z test_dispatch_meta_sgn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3277117Z test_dispatch_meta_short_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3277248Z test_dispatch_meta_short_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3277387Z test_dispatch_meta_short_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3277552Z test_dispatch_meta_short_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3277685Z test_dispatch_meta_short_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3277806Z test_dispatch_meta_short_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3277938Z test_dispatch_meta_short_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3278069Z test_dispatch_meta_short_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3278200Z test_dispatch_meta_short_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3278355Z test_dispatch_meta_short_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3278487Z test_dispatch_meta_short_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3278613Z test_dispatch_meta_short_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3278753Z test_dispatch_meta_sigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3278878Z test_dispatch_meta_sigmoid_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279019Z test_dispatch_meta_sigmoid_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279157Z test_dispatch_meta_sigmoid_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279295Z test_dispatch_meta_sigmoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279430Z test_dispatch_meta_sigmoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279562Z test_dispatch_meta_sigmoid_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279699Z test_dispatch_meta_sigmoid_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279832Z test_dispatch_meta_sigmoid_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3279953Z test_dispatch_meta_sigmoid_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3280088Z test_dispatch_meta_sigmoid_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3280220Z test_dispatch_meta_sign_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3280348Z test_dispatch_meta_sign_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3280482Z test_dispatch_meta_sign_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3280614Z test_dispatch_meta_sign_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3280747Z test_dispatch_meta_sign_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3280878Z test_dispatch_meta_sign_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3280995Z test_dispatch_meta_sign_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3281122Z test_dispatch_meta_sign_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3281249Z test_dispatch_meta_sign_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3281380Z test_dispatch_meta_sign_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3281520Z test_dispatch_meta_signbit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3281655Z test_dispatch_meta_signbit_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3281792Z test_dispatch_meta_signbit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3281926Z test_dispatch_meta_signbit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282050Z test_dispatch_meta_signbit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282185Z test_dispatch_meta_signbit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282318Z test_dispatch_meta_signbit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282448Z test_dispatch_meta_signbit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282609Z test_dispatch_meta_signbit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282739Z test_dispatch_meta_signbit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282867Z test_dispatch_meta_sin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3282996Z test_dispatch_meta_sin_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3283120Z test_dispatch_meta_sin_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3283256Z test_dispatch_meta_sin_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3283388Z test_dispatch_meta_sin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3283544Z test_dispatch_meta_sin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3283673Z test_dispatch_meta_sin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3283800Z test_dispatch_meta_sin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3283928Z test_dispatch_meta_sin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3284056Z test_dispatch_meta_sin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3284172Z test_dispatch_meta_sin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3284306Z test_dispatch_meta_sinc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3284432Z test_dispatch_meta_sinc_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3284568Z test_dispatch_meta_sinc_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3284706Z test_dispatch_meta_sinc_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3284841Z test_dispatch_meta_sinc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3284974Z test_dispatch_meta_sinc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3285103Z test_dispatch_meta_sinc_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3285220Z test_dispatch_meta_sinc_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3285350Z test_dispatch_meta_sinc_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3285480Z test_dispatch_meta_sinc_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3285608Z test_dispatch_meta_sinc_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3285742Z test_dispatch_meta_sinh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3285870Z test_dispatch_meta_sinh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286009Z test_dispatch_meta_sinh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286144Z test_dispatch_meta_sinh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286264Z test_dispatch_meta_sinh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286396Z test_dispatch_meta_sinh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286527Z test_dispatch_meta_sinh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286658Z test_dispatch_meta_sinh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286782Z test_dispatch_meta_sinh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3286909Z test_dispatch_meta_sinh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3287202Z test_dispatch_meta_sinh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3287367Z test_dispatch_meta_slice_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3287489Z test_dispatch_meta_slice_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3287629Z test_dispatch_meta_slice_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3287766Z test_dispatch_meta_slice_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3287954Z test_dispatch_meta_slice_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3288088Z test_dispatch_meta_slice_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3288222Z test_dispatch_meta_slice_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3288353Z test_dispatch_meta_slice_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3288485Z test_dispatch_meta_slice_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3288604Z test_dispatch_meta_slice_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3288735Z test_dispatch_meta_slice_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3288898Z test_dispatch_meta_slice_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3289029Z test_dispatch_meta_slice_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3289176Z test_dispatch_meta_slice_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3289321Z test_dispatch_meta_slice_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3289467Z test_dispatch_meta_slice_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3289610Z test_dispatch_meta_slice_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3289749Z test_dispatch_meta_slice_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3289878Z test_dispatch_meta_slice_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3290016Z test_dispatch_meta_slice_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3290153Z test_dispatch_meta_slice_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3290292Z test_dispatch_meta_slice_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3290435Z test_dispatch_meta_slice_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3290577Z test_dispatch_meta_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3290714Z test_dispatch_meta_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3290850Z test_dispatch_meta_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3290988Z test_dispatch_meta_softmax_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3291134Z test_dispatch_meta_softmax_with_dtype_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3291367Z test_dispatch_meta_softmax_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3291523Z test_dispatch_meta_softmax_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3291675Z test_dispatch_meta_softmax_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3291824Z test_dispatch_meta_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3291971Z test_dispatch_meta_softmax_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3292121Z test_dispatch_meta_softmax_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3292256Z test_dispatch_meta_softmax_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3292403Z test_dispatch_meta_softmax_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3292548Z test_dispatch_meta_softmax_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3292696Z test_dispatch_meta_softmax_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3292831Z test_dispatch_meta_sort_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3292963Z test_dispatch_meta_sort_cpu_bool (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3293097Z test_dispatch_meta_sort_cpu_float16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3293297Z test_dispatch_meta_sort_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3293414Z test_dispatch_meta_sort_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3293546Z test_dispatch_meta_sort_cpu_int16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3293676Z test_dispatch_meta_sort_cpu_int32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3293806Z test_dispatch_meta_sort_cpu_int64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3293936Z test_dispatch_meta_sort_cpu_int8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3294092Z test_dispatch_meta_sort_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3294253Z test_dispatch_meta_sparse_sampled_addmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3294413Z test_dispatch_meta_sparse_sampled_addmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3294570Z test_dispatch_meta_sparse_sampled_addmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3294710Z test_dispatch_meta_sparse_sampled_addmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3294855Z test_dispatch_meta_special_airy_ai_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295001Z test_dispatch_meta_special_airy_ai_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295146Z test_dispatch_meta_special_airy_ai_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295291Z test_dispatch_meta_special_airy_ai_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295433Z test_dispatch_meta_special_airy_ai_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295569Z test_dispatch_meta_special_airy_ai_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295711Z test_dispatch_meta_special_airy_ai_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295836Z test_dispatch_meta_special_airy_ai_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3295981Z test_dispatch_meta_special_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3296126Z test_dispatch_meta_special_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3296271Z test_dispatch_meta_special_bessel_j0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3296415Z test_dispatch_meta_special_bessel_j0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3296558Z test_dispatch_meta_special_bessel_j0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3296700Z test_dispatch_meta_special_bessel_j0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3296843Z test_dispatch_meta_special_bessel_j0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3296977Z test_dispatch_meta_special_bessel_j0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3297123Z test_dispatch_meta_special_bessel_j1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3297267Z test_dispatch_meta_special_bessel_j1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3297414Z test_dispatch_meta_special_bessel_j1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3297553Z test_dispatch_meta_special_bessel_j1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3297692Z test_dispatch_meta_special_bessel_j1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3297834Z test_dispatch_meta_special_bessel_j1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3297979Z test_dispatch_meta_special_bessel_j1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3298119Z test_dispatch_meta_special_bessel_j1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3298289Z test_dispatch_meta_special_bessel_y0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3298437Z test_dispatch_meta_special_bessel_y0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3298582Z test_dispatch_meta_special_bessel_y0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3298724Z test_dispatch_meta_special_bessel_y0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3298863Z test_dispatch_meta_special_bessel_y0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3298999Z test_dispatch_meta_special_bessel_y0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3299171Z test_dispatch_meta_special_bessel_y0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3299314Z test_dispatch_meta_special_bessel_y0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3299443Z test_dispatch_meta_special_bessel_y1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3299589Z test_dispatch_meta_special_bessel_y1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3299731Z test_dispatch_meta_special_bessel_y1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3299873Z test_dispatch_meta_special_bessel_y1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3300013Z test_dispatch_meta_special_bessel_y1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3300155Z test_dispatch_meta_special_bessel_y1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3300296Z test_dispatch_meta_special_bessel_y1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3300438Z test_dispatch_meta_special_bessel_y1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3300603Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3300757Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3300926Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3301091Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3301252Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3301410Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3301569Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3301727Z test_dispatch_meta_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3301885Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3302036Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3302199Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3302361Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3302517Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3302670Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3302829Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3302988Z test_dispatch_meta_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3303398Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3303784Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3304128Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3304450Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3304803Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3305140Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3305474Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3305809Z test_dispatch_meta_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3306143Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3306480Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3306811Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3307141Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3307470Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3307793Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3308122Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3308448Z test_dispatch_meta_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3308596Z test_dispatch_meta_special_entr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3308738Z test_dispatch_meta_special_entr_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3308884Z test_dispatch_meta_special_entr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3309024Z test_dispatch_meta_special_entr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3309164Z test_dispatch_meta_special_entr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3309301Z test_dispatch_meta_special_entr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3309436Z test_dispatch_meta_special_entr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3309576Z test_dispatch_meta_special_entr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3309703Z test_dispatch_meta_special_entr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3309840Z test_dispatch_meta_special_erfcx_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3309982Z test_dispatch_meta_special_erfcx_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3310152Z test_dispatch_meta_special_erfcx_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3310293Z test_dispatch_meta_special_erfcx_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3310431Z test_dispatch_meta_special_erfcx_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3310572Z test_dispatch_meta_special_erfcx_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3310712Z test_dispatch_meta_special_erfcx_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3310863Z test_dispatch_meta_special_erfcx_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3311023Z test_dispatch_meta_special_hermite_polynomial_h_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3311190Z test_dispatch_meta_special_hermite_polynomial_h_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3311355Z test_dispatch_meta_special_hermite_polynomial_h_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3311514Z test_dispatch_meta_special_hermite_polynomial_h_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3311668Z test_dispatch_meta_special_hermite_polynomial_h_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3311819Z test_dispatch_meta_special_hermite_polynomial_h_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3311976Z test_dispatch_meta_special_hermite_polynomial_h_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3312138Z test_dispatch_meta_special_hermite_polynomial_h_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3312282Z test_dispatch_meta_special_hermite_polynomial_he_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3312446Z test_dispatch_meta_special_hermite_polynomial_he_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3312605Z test_dispatch_meta_special_hermite_polynomial_he_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3312763Z test_dispatch_meta_special_hermite_polynomial_he_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3312922Z test_dispatch_meta_special_hermite_polynomial_he_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3313076Z test_dispatch_meta_special_hermite_polynomial_he_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3313234Z test_dispatch_meta_special_hermite_polynomial_he_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3313391Z test_dispatch_meta_special_hermite_polynomial_he_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3313535Z test_dispatch_meta_special_i0e_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3313663Z test_dispatch_meta_special_i0e_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3313806Z test_dispatch_meta_special_i0e_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3313944Z test_dispatch_meta_special_i0e_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3314082Z test_dispatch_meta_special_i0e_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3314219Z test_dispatch_meta_special_i0e_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3314357Z test_dispatch_meta_special_i0e_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3314495Z test_dispatch_meta_special_i0e_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3314630Z test_dispatch_meta_special_i0e_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3314758Z test_dispatch_meta_special_i1_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3314898Z test_dispatch_meta_special_i1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3315034Z test_dispatch_meta_special_i1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3315198Z test_dispatch_meta_special_i1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3315334Z test_dispatch_meta_special_i1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3315469Z test_dispatch_meta_special_i1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3315606Z test_dispatch_meta_special_i1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3315739Z test_dispatch_meta_special_i1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3315862Z test_dispatch_meta_special_i1e_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3316030Z test_dispatch_meta_special_i1e_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3316171Z test_dispatch_meta_special_i1e_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3316307Z test_dispatch_meta_special_i1e_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3316446Z test_dispatch_meta_special_i1e_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3316581Z test_dispatch_meta_special_i1e_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3316717Z test_dispatch_meta_special_i1e_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3316852Z test_dispatch_meta_special_i1e_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3317002Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3317167Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3317329Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3317490Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3317644Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3317805Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3317967Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3318125Z test_dispatch_meta_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3318468Z test_dispatch_meta_special_legendre_polynomial_p_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3318799Z test_dispatch_meta_special_legendre_polynomial_p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3319129Z test_dispatch_meta_special_legendre_polynomial_p_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3319463Z test_dispatch_meta_special_legendre_polynomial_p_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3319795Z test_dispatch_meta_special_legendre_polynomial_p_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3320131Z test_dispatch_meta_special_legendre_polynomial_p_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3320468Z test_dispatch_meta_special_legendre_polynomial_p_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3320797Z test_dispatch_meta_special_legendre_polynomial_p_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3320944Z test_dispatch_meta_special_log_ndtr_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3321121Z test_dispatch_meta_special_log_ndtr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3321269Z test_dispatch_meta_special_log_ndtr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3321413Z test_dispatch_meta_special_log_ndtr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3321540Z test_dispatch_meta_special_log_ndtr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3321684Z test_dispatch_meta_special_log_ndtr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3321852Z test_dispatch_meta_special_log_ndtr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3321997Z test_dispatch_meta_special_log_ndtr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3322154Z test_dispatch_meta_special_modified_bessel_i0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3322315Z test_dispatch_meta_special_modified_bessel_i0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3322470Z test_dispatch_meta_special_modified_bessel_i0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3322628Z test_dispatch_meta_special_modified_bessel_i0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3322771Z test_dispatch_meta_special_modified_bessel_i0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3322926Z test_dispatch_meta_special_modified_bessel_i0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3323082Z test_dispatch_meta_special_modified_bessel_i0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3323233Z test_dispatch_meta_special_modified_bessel_i0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3323385Z test_dispatch_meta_special_modified_bessel_i1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3323546Z test_dispatch_meta_special_modified_bessel_i1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3323698Z test_dispatch_meta_special_modified_bessel_i1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3323850Z test_dispatch_meta_special_modified_bessel_i1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3323999Z test_dispatch_meta_special_modified_bessel_i1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3324138Z test_dispatch_meta_special_modified_bessel_i1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3324292Z test_dispatch_meta_special_modified_bessel_i1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3324447Z test_dispatch_meta_special_modified_bessel_i1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3324597Z test_dispatch_meta_special_modified_bessel_k0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3324751Z test_dispatch_meta_special_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3324905Z test_dispatch_meta_special_modified_bessel_k0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3325060Z test_dispatch_meta_special_modified_bessel_k0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3325211Z test_dispatch_meta_special_modified_bessel_k0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3325362Z test_dispatch_meta_special_modified_bessel_k0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3325501Z test_dispatch_meta_special_modified_bessel_k0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3325653Z test_dispatch_meta_special_modified_bessel_k0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3325805Z test_dispatch_meta_special_modified_bessel_k1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3325963Z test_dispatch_meta_special_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3326144Z test_dispatch_meta_special_modified_bessel_k1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3326297Z test_dispatch_meta_special_modified_bessel_k1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3326447Z test_dispatch_meta_special_modified_bessel_k1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3326600Z test_dispatch_meta_special_modified_bessel_k1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3326740Z test_dispatch_meta_special_modified_bessel_k1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3326920Z test_dispatch_meta_special_modified_bessel_k1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3327215Z test_dispatch_meta_special_ndtr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3327359Z test_dispatch_meta_special_ndtr_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3327507Z test_dispatch_meta_special_ndtr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3327650Z test_dispatch_meta_special_ndtr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3327793Z test_dispatch_meta_special_ndtr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3327931Z test_dispatch_meta_special_ndtr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3328065Z test_dispatch_meta_special_ndtr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3328193Z test_dispatch_meta_special_ndtr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3328337Z test_dispatch_meta_special_ndtr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3328480Z test_dispatch_meta_special_ndtri_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3328626Z test_dispatch_meta_special_ndtri_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3328767Z test_dispatch_meta_special_ndtri_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3328909Z test_dispatch_meta_special_ndtri_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3329046Z test_dispatch_meta_special_ndtri_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3329181Z test_dispatch_meta_special_ndtri_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3329307Z test_dispatch_meta_special_ndtri_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3329452Z test_dispatch_meta_special_ndtri_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3329633Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3329809Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3329987Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3330166Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3330340Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3330511Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3330677Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3330838Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3331004Z test_dispatch_meta_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3331170Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3331474Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3331641Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3331808Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3331972Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3332133Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3332355Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3332507Z test_dispatch_meta_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3332674Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3332840Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3333002Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3333166Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3333327Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3333493Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3333655Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3333816Z test_dispatch_meta_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3334181Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3334539Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3334890Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3335243Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3335596Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3335941Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3336303Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3336648Z test_dispatch_meta_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3336992Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3337338Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3337688Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3338081Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3338428Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3338788Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3339131Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3339473Z test_dispatch_meta_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3339818Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3340164Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3340510Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3340852Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3341192Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3341538Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3341879Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3342217Z test_dispatch_meta_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3342565Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3342910Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3343246Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3343588Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3343930Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3344271Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3344612Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3344982Z test_dispatch_meta_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.3345143Z test_dispatch_meta_special_spherical_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3345305Z test_dispatch_meta_special_spherical_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3345465Z test_dispatch_meta_special_spherical_bessel_j0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3345650Z test_dispatch_meta_special_spherical_bessel_j0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3345795Z test_dispatch_meta_special_spherical_bessel_j0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3345952Z test_dispatch_meta_special_spherical_bessel_j0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3346110Z test_dispatch_meta_special_spherical_bessel_j0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3346265Z test_dispatch_meta_special_spherical_bessel_j0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3346414Z test_dispatch_meta_special_xlog1py_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3346559Z test_dispatch_meta_special_xlog1py_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3346705Z test_dispatch_meta_special_xlog1py_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3346851Z test_dispatch_meta_special_xlog1py_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3346994Z test_dispatch_meta_special_xlog1py_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3347124Z test_dispatch_meta_special_xlog1py_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3347261Z test_dispatch_meta_special_xlog1py_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3347399Z test_dispatch_meta_special_xlog1py_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3347541Z test_dispatch_meta_special_xlog1py_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3347677Z test_dispatch_meta_special_xlog1py_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3347819Z test_dispatch_meta_special_zeta_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3347962Z test_dispatch_meta_special_zeta_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3348099Z test_dispatch_meta_special_zeta_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3348229Z test_dispatch_meta_special_zeta_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3348366Z test_dispatch_meta_special_zeta_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3348499Z test_dispatch_meta_special_zeta_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3348640Z test_dispatch_meta_special_zeta_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3348779Z test_dispatch_meta_special_zeta_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3348915Z test_dispatch_meta_split_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3349049Z test_dispatch_meta_split_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3349190Z test_dispatch_meta_split_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3349316Z test_dispatch_meta_split_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3349455Z test_dispatch_meta_split_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3349593Z test_dispatch_meta_split_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3349729Z test_dispatch_meta_split_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3349890Z test_dispatch_meta_split_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3350021Z test_dispatch_meta_split_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3350152Z test_dispatch_meta_split_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3350281Z test_dispatch_meta_split_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3350399Z test_dispatch_meta_split_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3350528Z test_dispatch_meta_split_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3350675Z test_dispatch_meta_split_list_args_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3350844Z test_dispatch_meta_split_list_args_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3350996Z test_dispatch_meta_split_list_args_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3351145Z test_dispatch_meta_split_list_args_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3351292Z test_dispatch_meta_split_list_args_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3351436Z test_dispatch_meta_split_list_args_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3351581Z test_dispatch_meta_split_list_args_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3351712Z test_dispatch_meta_split_list_args_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3351855Z test_dispatch_meta_split_list_args_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3351995Z test_dispatch_meta_split_list_args_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3352137Z test_dispatch_meta_split_list_args_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3352274Z test_dispatch_meta_split_list_args_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3352421Z test_dispatch_meta_split_with_sizes_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3352565Z test_dispatch_meta_split_with_sizes_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3352714Z test_dispatch_meta_split_with_sizes_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3352851Z test_dispatch_meta_split_with_sizes_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3352999Z test_dispatch_meta_split_with_sizes_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3353144Z test_dispatch_meta_split_with_sizes_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3353290Z test_dispatch_meta_split_with_sizes_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3353432Z test_dispatch_meta_split_with_sizes_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3353577Z test_dispatch_meta_split_with_sizes_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3353721Z test_dispatch_meta_split_with_sizes_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3353864Z test_dispatch_meta_split_with_sizes_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3353993Z test_dispatch_meta_split_with_sizes_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3354133Z test_dispatch_meta_split_with_sizes_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3354267Z test_dispatch_meta_sqrt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3354396Z test_dispatch_meta_sqrt_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3354535Z test_dispatch_meta_sqrt_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3354672Z test_dispatch_meta_sqrt_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3354805Z test_dispatch_meta_sqrt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3354968Z test_dispatch_meta_sqrt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3355099Z test_dispatch_meta_sqrt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3355217Z test_dispatch_meta_sqrt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3355344Z test_dispatch_meta_sqrt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3355471Z test_dispatch_meta_sqrt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3355602Z test_dispatch_meta_sqrt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3355743Z test_dispatch_meta_square_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3355904Z test_dispatch_meta_square_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356045Z test_dispatch_meta_square_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356184Z test_dispatch_meta_square_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356310Z test_dispatch_meta_square_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356444Z test_dispatch_meta_square_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356576Z test_dispatch_meta_square_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356708Z test_dispatch_meta_square_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356841Z test_dispatch_meta_square_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3356982Z test_dispatch_meta_square_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3357169Z test_dispatch_meta_square_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3357340Z test_dispatch_meta_square_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3357530Z test_dispatch_meta_squeeze_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3357680Z test_dispatch_meta_squeeze_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3357827Z test_dispatch_meta_squeeze_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3357967Z test_dispatch_meta_squeeze_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3358107Z test_dispatch_meta_squeeze_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3358245Z test_dispatch_meta_squeeze_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3358407Z test_dispatch_meta_squeeze_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3358542Z test_dispatch_meta_squeeze_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3358666Z test_dispatch_meta_squeeze_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3358800Z test_dispatch_meta_squeeze_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3358931Z test_dispatch_meta_squeeze_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3359066Z test_dispatch_meta_squeeze_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3359199Z test_dispatch_meta_squeeze_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3359335Z test_dispatch_meta_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3359467Z test_dispatch_meta_stack_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3359605Z test_dispatch_meta_stack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3359729Z test_dispatch_meta_stack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3359867Z test_dispatch_meta_stack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3360000Z test_dispatch_meta_stack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3360132Z test_dispatch_meta_stack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3360262Z test_dispatch_meta_stack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3360434Z test_dispatch_meta_stack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3360566Z test_dispatch_meta_stack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3360693Z test_dispatch_meta_stack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3360810Z test_dispatch_meta_stack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3360941Z test_dispatch_meta_stack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3361074Z test_dispatch_meta_std_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3361236Z test_dispatch_meta_std_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3361372Z test_dispatch_meta_std_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3361502Z test_dispatch_meta_std_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3361635Z test_dispatch_meta_std_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3361766Z test_dispatch_meta_std_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3361892Z test_dispatch_meta_std_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3362038Z test_dispatch_meta_std_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3362180Z test_dispatch_meta_std_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3362317Z test_dispatch_meta_std_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3362459Z test_dispatch_meta_std_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3362596Z test_dispatch_meta_std_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3362733Z test_dispatch_meta_stft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3362869Z test_dispatch_meta_stft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3362992Z test_dispatch_meta_stft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3363124Z test_dispatch_meta_stft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3363257Z test_dispatch_meta_sub_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3363404Z test_dispatch_meta_sub_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3363599Z test_dispatch_meta_sub_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3363763Z test_dispatch_meta_sub_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3363896Z test_dispatch_meta_sub_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3364028Z test_dispatch_meta_sub_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3364144Z test_dispatch_meta_sub_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3364275Z test_dispatch_meta_sub_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3364402Z test_dispatch_meta_sub_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3364530Z test_dispatch_meta_sub_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3364660Z test_dispatch_meta_sub_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3364791Z test_dispatch_meta_sub_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3364925Z test_dispatch_meta_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365053Z test_dispatch_meta_sum_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365180Z test_dispatch_meta_sum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365314Z test_dispatch_meta_sum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365444Z test_dispatch_meta_sum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365609Z test_dispatch_meta_sum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365738Z test_dispatch_meta_sum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365866Z test_dispatch_meta_sum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3365993Z test_dispatch_meta_sum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3366120Z test_dispatch_meta_sum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3366236Z test_dispatch_meta_sum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3366364Z test_dispatch_meta_sum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3366532Z test_dispatch_meta_sum_to_size_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3366671Z test_dispatch_meta_sum_to_size_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3366815Z test_dispatch_meta_sum_to_size_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3367078Z test_dispatch_meta_sum_to_size_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3367271Z test_dispatch_meta_sum_to_size_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3367407Z test_dispatch_meta_sum_to_size_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3367534Z test_dispatch_meta_sum_to_size_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3367671Z test_dispatch_meta_sum_to_size_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3367809Z test_dispatch_meta_sum_to_size_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3367948Z test_dispatch_meta_sum_to_size_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3368086Z test_dispatch_meta_sum_to_size_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3368222Z test_dispatch_meta_sum_to_size_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3368362Z test_dispatch_meta_svd_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.243s) 2022-12-01T10:23:49.3368499Z test_dispatch_meta_svd_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.241s) 2022-12-01T10:23:49.3368618Z test_dispatch_meta_svd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.172s) 2022-12-01T10:23:49.3368752Z test_dispatch_meta_svd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.172s) 2022-12-01T10:23:49.3368896Z test_dispatch_meta_svd_lowrank_cpu_float32 (__main__.TestMetaCPU) ... ok (2.717s) 2022-12-01T10:23:49.3369033Z test_dispatch_meta_svd_lowrank_cpu_float64 (__main__.TestMetaCPU) ... ok (2.710s) 2022-12-01T10:23:49.3369174Z test_dispatch_meta_symeig_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3369313Z test_dispatch_meta_symeig_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3369448Z test_dispatch_meta_symeig_cpu_float32 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.3369586Z test_dispatch_meta_symeig_cpu_float64 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.3369704Z test_dispatch_meta_t_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3369831Z test_dispatch_meta_t_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3369965Z test_dispatch_meta_t_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3370097Z test_dispatch_meta_t_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3370224Z test_dispatch_meta_t_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3370353Z test_dispatch_meta_t_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3370482Z test_dispatch_meta_t_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3370609Z test_dispatch_meta_t_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3370721Z test_dispatch_meta_t_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3370903Z test_dispatch_meta_t_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3371032Z test_dispatch_meta_t_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3371160Z test_dispatch_meta_t_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3371377Z test_dispatch_meta_take_along_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3371524Z test_dispatch_meta_take_along_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3371677Z test_dispatch_meta_take_along_dim_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3371863Z test_dispatch_meta_take_along_dim_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372011Z test_dispatch_meta_take_along_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372143Z test_dispatch_meta_take_along_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372291Z test_dispatch_meta_take_along_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372434Z test_dispatch_meta_take_along_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372572Z test_dispatch_meta_take_along_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372709Z test_dispatch_meta_take_along_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372850Z test_dispatch_meta_take_along_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3372988Z test_dispatch_meta_take_along_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3373125Z test_dispatch_meta_take_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3373240Z test_dispatch_meta_take_cpu_bool (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3373381Z test_dispatch_meta_take_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.113s) 2022-12-01T10:23:49.3373517Z test_dispatch_meta_take_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.113s) 2022-12-01T10:23:49.3373653Z test_dispatch_meta_take_cpu_float16 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3373786Z test_dispatch_meta_take_cpu_float32 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3373918Z test_dispatch_meta_take_cpu_float64 (__main__.TestMetaCPU) ... ok (0.113s) 2022-12-01T10:23:49.3374049Z test_dispatch_meta_take_cpu_int16 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3374180Z test_dispatch_meta_take_cpu_int32 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3374294Z test_dispatch_meta_take_cpu_int64 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3374424Z test_dispatch_meta_take_cpu_int8 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3374555Z test_dispatch_meta_take_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3374687Z test_dispatch_meta_tan_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3374819Z test_dispatch_meta_tan_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3374955Z test_dispatch_meta_tan_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375090Z test_dispatch_meta_tan_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375220Z test_dispatch_meta_tan_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375336Z test_dispatch_meta_tan_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375463Z test_dispatch_meta_tan_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375587Z test_dispatch_meta_tan_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375716Z test_dispatch_meta_tan_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375849Z test_dispatch_meta_tan_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3375978Z test_dispatch_meta_tan_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3376160Z test_dispatch_meta_tanh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3376286Z test_dispatch_meta_tanh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3376410Z test_dispatch_meta_tanh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3376545Z test_dispatch_meta_tanh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3376678Z test_dispatch_meta_tanh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3376810Z test_dispatch_meta_tanh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3376997Z test_dispatch_meta_tanh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3377129Z test_dispatch_meta_tanh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3377258Z test_dispatch_meta_tanh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3377387Z test_dispatch_meta_tanh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3377505Z test_dispatch_meta_tanh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3377649Z test_dispatch_meta_tensor_split_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3377789Z test_dispatch_meta_tensor_split_cpu_bool (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3377949Z test_dispatch_meta_tensor_split_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3378083Z test_dispatch_meta_tensor_split_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3378237Z test_dispatch_meta_tensor_split_cpu_float16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3378379Z test_dispatch_meta_tensor_split_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3378516Z test_dispatch_meta_tensor_split_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3378656Z test_dispatch_meta_tensor_split_cpu_int16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3378796Z test_dispatch_meta_tensor_split_cpu_int32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3378936Z test_dispatch_meta_tensor_split_cpu_int64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3379076Z test_dispatch_meta_tensor_split_cpu_int8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3379202Z test_dispatch_meta_tensor_split_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3379340Z test_dispatch_meta_tensordot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3379485Z test_dispatch_meta_tensordot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3379628Z test_dispatch_meta_tensordot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3379768Z test_dispatch_meta_tensordot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3379906Z test_dispatch_meta_tensordot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3380046Z test_dispatch_meta_tensordot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3380184Z test_dispatch_meta_tensordot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3380308Z test_dispatch_meta_tensordot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3380444Z test_dispatch_meta_tensordot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3380578Z test_dispatch_meta_tensordot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3380712Z test_dispatch_meta_tile_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3380845Z test_dispatch_meta_tile_cpu_bool (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3380981Z test_dispatch_meta_tile_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3381120Z test_dispatch_meta_tile_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3381252Z test_dispatch_meta_tile_cpu_float16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3381400Z test_dispatch_meta_tile_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3381531Z test_dispatch_meta_tile_cpu_float64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3381661Z test_dispatch_meta_tile_cpu_int16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3381790Z test_dispatch_meta_tile_cpu_int32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3381917Z test_dispatch_meta_tile_cpu_int64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3382045Z test_dispatch_meta_tile_cpu_int8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3382202Z test_dispatch_meta_tile_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3382334Z test_dispatch_meta_to_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3382449Z test_dispatch_meta_to_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3382586Z test_dispatch_meta_to_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3382720Z test_dispatch_meta_to_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3382849Z test_dispatch_meta_to_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3382978Z test_dispatch_meta_to_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3383105Z test_dispatch_meta_to_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3383235Z test_dispatch_meta_to_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3383360Z test_dispatch_meta_to_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3383477Z test_dispatch_meta_to_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3383603Z test_dispatch_meta_to_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3383729Z test_dispatch_meta_to_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3383875Z test_dispatch_meta_to_sparse_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384010Z test_dispatch_meta_to_sparse_cpu_bool (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384153Z test_dispatch_meta_to_sparse_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384294Z test_dispatch_meta_to_sparse_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384432Z test_dispatch_meta_to_sparse_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384557Z test_dispatch_meta_to_sparse_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384697Z test_dispatch_meta_to_sparse_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384832Z test_dispatch_meta_to_sparse_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3384968Z test_dispatch_meta_to_sparse_cpu_int32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3385106Z test_dispatch_meta_to_sparse_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3385247Z test_dispatch_meta_to_sparse_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3385380Z test_dispatch_meta_to_sparse_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3385514Z test_dispatch_meta_topk_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3385634Z test_dispatch_meta_topk_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3385766Z test_dispatch_meta_topk_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3385896Z test_dispatch_meta_topk_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3386028Z test_dispatch_meta_topk_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3386157Z test_dispatch_meta_topk_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3386287Z test_dispatch_meta_topk_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3386444Z test_dispatch_meta_topk_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3386584Z test_dispatch_meta_trace_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3386709Z test_dispatch_meta_trace_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3386842Z test_dispatch_meta_trace_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3386975Z test_dispatch_meta_trace_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3387105Z test_dispatch_meta_trace_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3387265Z test_dispatch_meta_trace_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3387395Z test_dispatch_meta_trace_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3387525Z test_dispatch_meta_trace_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3387652Z test_dispatch_meta_trace_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3387785Z test_dispatch_meta_transpose_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3387922Z test_dispatch_meta_transpose_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3388068Z test_dispatch_meta_transpose_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3388217Z test_dispatch_meta_transpose_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3388356Z test_dispatch_meta_transpose_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3388496Z test_dispatch_meta_transpose_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3388637Z test_dispatch_meta_transpose_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3388774Z test_dispatch_meta_transpose_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3388899Z test_dispatch_meta_transpose_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3389038Z test_dispatch_meta_transpose_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3389174Z test_dispatch_meta_transpose_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3389309Z test_dispatch_meta_transpose_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3389443Z test_dispatch_meta_transpose_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3389587Z test_dispatch_meta_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3389732Z test_dispatch_meta_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3389878Z test_dispatch_meta_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390017Z test_dispatch_meta_trapezoid_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390143Z test_dispatch_meta_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390284Z test_dispatch_meta_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390420Z test_dispatch_meta_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390556Z test_dispatch_meta_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390692Z test_dispatch_meta_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390830Z test_dispatch_meta_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3390963Z test_dispatch_meta_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3391100Z test_dispatch_meta_trapz_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3391227Z test_dispatch_meta_trapz_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3391361Z test_dispatch_meta_trapz_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3391495Z test_dispatch_meta_trapz_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3391660Z test_dispatch_meta_trapz_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3391790Z test_dispatch_meta_trapz_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3391922Z test_dispatch_meta_trapz_cpu_int16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3392052Z test_dispatch_meta_trapz_cpu_int32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3392180Z test_dispatch_meta_trapz_cpu_int64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3392299Z test_dispatch_meta_trapz_cpu_int8 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3392453Z test_dispatch_meta_trapz_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3392608Z test_dispatch_meta_triangular_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3392760Z test_dispatch_meta_triangular_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3392909Z test_dispatch_meta_triangular_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3393058Z test_dispatch_meta_triangular_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3393190Z test_dispatch_meta_tril_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3393319Z test_dispatch_meta_tril_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3393443Z test_dispatch_meta_tril_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3393579Z test_dispatch_meta_tril_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3393713Z test_dispatch_meta_tril_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3393846Z test_dispatch_meta_tril_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3393976Z test_dispatch_meta_tril_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3394106Z test_dispatch_meta_tril_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3394236Z test_dispatch_meta_tril_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3394365Z test_dispatch_meta_tril_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3394482Z test_dispatch_meta_tril_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3394609Z test_dispatch_meta_tril_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3394752Z test_dispatch_meta_tril_indices_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3394888Z test_dispatch_meta_tril_indices_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3395024Z test_dispatch_meta_triu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3395152Z test_dispatch_meta_triu_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3395287Z test_dispatch_meta_triu_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3395427Z test_dispatch_meta_triu_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3395545Z test_dispatch_meta_triu_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3395677Z test_dispatch_meta_triu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3395807Z test_dispatch_meta_triu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3395936Z test_dispatch_meta_triu_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3396064Z test_dispatch_meta_triu_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3396192Z test_dispatch_meta_triu_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3396323Z test_dispatch_meta_triu_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3396452Z test_dispatch_meta_triu_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3396580Z test_dispatch_meta_triu_indices_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3396748Z test_dispatch_meta_triu_indices_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3396892Z test_dispatch_meta_true_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3397036Z test_dispatch_meta_true_divide_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3397182Z test_dispatch_meta_true_divide_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3397327Z test_dispatch_meta_true_divide_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3397468Z test_dispatch_meta_true_divide_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3397636Z test_dispatch_meta_true_divide_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3397762Z test_dispatch_meta_true_divide_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3397900Z test_dispatch_meta_true_divide_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3398042Z test_dispatch_meta_true_divide_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3398178Z test_dispatch_meta_true_divide_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3398316Z test_dispatch_meta_true_divide_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3398452Z test_dispatch_meta_true_divide_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3398588Z test_dispatch_meta_trunc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3398723Z test_dispatch_meta_trunc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3398845Z test_dispatch_meta_trunc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3398977Z test_dispatch_meta_trunc_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3399106Z test_dispatch_meta_trunc_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3399238Z test_dispatch_meta_trunc_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3399368Z test_dispatch_meta_trunc_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3399496Z test_dispatch_meta_trunc_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3399634Z test_dispatch_meta_unbind_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3399764Z test_dispatch_meta_unbind_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3399891Z test_dispatch_meta_unbind_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3400028Z test_dispatch_meta_unbind_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3400169Z test_dispatch_meta_unbind_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3400305Z test_dispatch_meta_unbind_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3400439Z test_dispatch_meta_unbind_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3400577Z test_dispatch_meta_unbind_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3400710Z test_dispatch_meta_unbind_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3400844Z test_dispatch_meta_unbind_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3400977Z test_dispatch_meta_unbind_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3401094Z test_dispatch_meta_unbind_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3401226Z test_dispatch_meta_unbind_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3401372Z test_dispatch_meta_unflatten_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3401507Z test_dispatch_meta_unflatten_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3401653Z test_dispatch_meta_unflatten_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3401827Z test_dispatch_meta_unflatten_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3401964Z test_dispatch_meta_unflatten_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3402103Z test_dispatch_meta_unflatten_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3402228Z test_dispatch_meta_unflatten_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3402367Z test_dispatch_meta_unflatten_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3402503Z test_dispatch_meta_unflatten_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3402670Z test_dispatch_meta_unflatten_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3402807Z test_dispatch_meta_unflatten_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3402943Z test_dispatch_meta_unflatten_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3403078Z test_dispatch_meta_unflatten_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3403268Z test_dispatch_meta_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3403430Z test_dispatch_meta_unfold_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3403618Z test_dispatch_meta_unfold_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3403832Z test_dispatch_meta_unfold_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3403987Z test_dispatch_meta_unfold_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3404123Z test_dispatch_meta_unfold_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3404260Z test_dispatch_meta_unfold_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3404394Z test_dispatch_meta_unfold_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3404526Z test_dispatch_meta_unfold_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3404648Z test_dispatch_meta_unfold_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3404777Z test_dispatch_meta_unfold_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3404908Z test_dispatch_meta_unfold_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3405037Z test_dispatch_meta_unfold_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3405173Z test_dispatch_meta_uniform_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3405317Z test_dispatch_meta_uniform_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3405462Z test_dispatch_meta_uniform_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3405596Z test_dispatch_meta_uniform_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3405719Z test_dispatch_meta_uniform_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3405855Z test_dispatch_meta_uniform_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3406008Z test_dispatch_meta_unique_consecutive_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (1.442s) 2022-12-01T10:23:49.3406158Z test_dispatch_meta_unique_consecutive_cpu_bool (__main__.TestMetaCPU) ... ok (1.437s) 2022-12-01T10:23:49.3406310Z test_dispatch_meta_unique_consecutive_cpu_float32 (__main__.TestMetaCPU) ... ok (1.443s) 2022-12-01T10:23:49.3406461Z test_dispatch_meta_unique_consecutive_cpu_float64 (__main__.TestMetaCPU) ... ok (1.442s) 2022-12-01T10:23:49.3406609Z test_dispatch_meta_unique_consecutive_cpu_int16 (__main__.TestMetaCPU) ... ok (1.438s) 2022-12-01T10:23:49.3406754Z test_dispatch_meta_unique_consecutive_cpu_int32 (__main__.TestMetaCPU) ... ok (1.438s) 2022-12-01T10:23:49.3406888Z test_dispatch_meta_unique_consecutive_cpu_int64 (__main__.TestMetaCPU) ... ok (1.438s) 2022-12-01T10:23:49.3407156Z test_dispatch_meta_unique_consecutive_cpu_int8 (__main__.TestMetaCPU) ... ok (1.444s) 2022-12-01T10:23:49.3407399Z test_dispatch_meta_unique_consecutive_cpu_uint8 (__main__.TestMetaCPU) ... ok (1.439s) 2022-12-01T10:23:49.3407589Z test_dispatch_meta_unique_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (2.886s) 2022-12-01T10:23:49.3407753Z test_dispatch_meta_unique_cpu_bool (__main__.TestMetaCPU) ... ok (2.884s) 2022-12-01T10:23:49.3407920Z test_dispatch_meta_unique_cpu_float32 (__main__.TestMetaCPU) ... ok (2.889s) 2022-12-01T10:23:49.3408086Z test_dispatch_meta_unique_cpu_float64 (__main__.TestMetaCPU) ... ok (2.891s) 2022-12-01T10:23:49.3408208Z test_dispatch_meta_unique_cpu_int16 (__main__.TestMetaCPU) ... ok (2.884s) 2022-12-01T10:23:49.3438089Z test_dispatch_meta_unique_cpu_int32 (__main__.TestMetaCPU) ... ok (2.883s) 2022-12-01T10:23:49.3438291Z test_dispatch_meta_unique_cpu_int64 (__main__.TestMetaCPU) ... ok (2.885s) 2022-12-01T10:23:49.3438421Z test_dispatch_meta_unique_cpu_int8 (__main__.TestMetaCPU) ... ok (2.885s) 2022-12-01T10:23:49.3438548Z test_dispatch_meta_unique_cpu_uint8 (__main__.TestMetaCPU) ... ok (2.883s) 2022-12-01T10:23:49.3438689Z test_dispatch_meta_unsqueeze_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3438815Z test_dispatch_meta_unsqueeze_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3438954Z test_dispatch_meta_unsqueeze_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3439090Z test_dispatch_meta_unsqueeze_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3439222Z test_dispatch_meta_unsqueeze_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3439357Z test_dispatch_meta_unsqueeze_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3439490Z test_dispatch_meta_unsqueeze_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3439623Z test_dispatch_meta_unsqueeze_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3439752Z test_dispatch_meta_unsqueeze_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3439879Z test_dispatch_meta_unsqueeze_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3440008Z test_dispatch_meta_unsqueeze_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3440138Z test_dispatch_meta_unsqueeze_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3440263Z test_dispatch_meta_unsqueeze_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3440390Z test_dispatch_meta_var_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3440515Z test_dispatch_meta_var_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3440643Z test_dispatch_meta_var_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3440766Z test_dispatch_meta_var_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3440883Z test_dispatch_meta_var_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3441002Z test_dispatch_meta_var_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3441134Z test_dispatch_meta_var_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3441266Z test_dispatch_meta_var_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3441399Z test_dispatch_meta_var_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3441527Z test_dispatch_meta_var_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3441656Z test_dispatch_meta_var_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3441784Z test_dispatch_meta_var_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3441907Z test_dispatch_meta_vdot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3442036Z test_dispatch_meta_vdot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3442162Z test_dispatch_meta_vdot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3442329Z test_dispatch_meta_vdot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3442452Z test_dispatch_meta_vdot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3442574Z test_dispatch_meta_vdot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3442695Z test_dispatch_meta_vdot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3442813Z test_dispatch_meta_vdot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3442931Z test_dispatch_meta_vdot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3443082Z test_dispatch_meta_vdot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3443220Z test_dispatch_meta_view_as_complex_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3443358Z test_dispatch_meta_view_as_complex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3443498Z test_dispatch_meta_view_as_complex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3443628Z test_dispatch_meta_view_as_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3443753Z test_dispatch_meta_view_as_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3443886Z test_dispatch_meta_view_as_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444016Z test_dispatch_meta_view_as_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444142Z test_dispatch_meta_view_as_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444272Z test_dispatch_meta_view_as_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444398Z test_dispatch_meta_view_as_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444524Z test_dispatch_meta_view_as_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444649Z test_dispatch_meta_view_as_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444774Z test_dispatch_meta_view_as_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3444895Z test_dispatch_meta_view_as_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3445019Z test_dispatch_meta_view_as_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3445134Z test_dispatch_meta_view_as_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3445270Z test_dispatch_meta_view_as_real_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3445405Z test_dispatch_meta_view_as_real_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3445527Z test_dispatch_meta_view_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3445647Z test_dispatch_meta_view_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3445774Z test_dispatch_meta_view_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3445903Z test_dispatch_meta_view_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3446030Z test_dispatch_meta_view_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3446151Z test_dispatch_meta_view_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3446272Z test_dispatch_meta_view_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3446393Z test_dispatch_meta_view_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3446514Z test_dispatch_meta_view_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3446636Z test_dispatch_meta_view_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3446752Z test_dispatch_meta_view_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3446871Z test_dispatch_meta_view_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3447150Z test_dispatch_meta_view_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3447341Z test_dispatch_meta_vsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3447466Z test_dispatch_meta_vsplit_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3447598Z test_dispatch_meta_vsplit_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3447731Z test_dispatch_meta_vsplit_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3447862Z test_dispatch_meta_vsplit_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3447996Z test_dispatch_meta_vsplit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3448167Z test_dispatch_meta_vsplit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3448306Z test_dispatch_meta_vsplit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3448427Z test_dispatch_meta_vsplit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3448560Z test_dispatch_meta_vsplit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3448690Z test_dispatch_meta_vsplit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3448824Z test_dispatch_meta_vsplit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3448951Z test_dispatch_meta_vsplit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3449092Z test_dispatch_meta_vstack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3449225Z test_dispatch_meta_vstack_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3449365Z test_dispatch_meta_vstack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3449493Z test_dispatch_meta_vstack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3449630Z test_dispatch_meta_vstack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3449765Z test_dispatch_meta_vstack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3449901Z test_dispatch_meta_vstack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450035Z test_dispatch_meta_vstack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450168Z test_dispatch_meta_vstack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450301Z test_dispatch_meta_vstack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450432Z test_dispatch_meta_vstack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450551Z test_dispatch_meta_vstack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450681Z test_dispatch_meta_vstack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450814Z test_dispatch_meta_where_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3450944Z test_dispatch_meta_where_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3451081Z test_dispatch_meta_where_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3451282Z test_dispatch_meta_where_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3451421Z test_dispatch_meta_where_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3451556Z test_dispatch_meta_where_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3451677Z test_dispatch_meta_where_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3451811Z test_dispatch_meta_where_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3451942Z test_dispatch_meta_where_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3452080Z test_dispatch_meta_where_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3452207Z test_dispatch_meta_where_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3452339Z test_dispatch_meta_where_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3452507Z test_dispatch_meta_where_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3452644Z test_dispatch_meta_xlogy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3452763Z test_dispatch_meta_xlogy_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3452897Z test_dispatch_meta_xlogy_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3453031Z test_dispatch_meta_xlogy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3453160Z test_dispatch_meta_xlogy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3453336Z test_dispatch_meta_xlogy_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3453467Z test_dispatch_meta_xlogy_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3453597Z test_dispatch_meta_xlogy_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3453727Z test_dispatch_meta_xlogy_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3453843Z test_dispatch_meta_xlogy_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3453979Z test_dispatch_meta_zero__cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3454111Z test_dispatch_meta_zero__cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3454249Z test_dispatch_meta_zero__cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3454387Z test_dispatch_meta_zero__cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3454519Z test_dispatch_meta_zero__cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3454653Z test_dispatch_meta_zero__cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3454782Z test_dispatch_meta_zero__cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3454900Z test_dispatch_meta_zero__cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3455031Z test_dispatch_meta_zero__cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3455156Z test_dispatch_meta_zero__cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3455286Z test_dispatch_meta_zero__cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3455413Z test_dispatch_meta_zero__cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3455548Z test_dispatch_meta_zeros_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3455680Z test_dispatch_meta_zeros_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3455818Z test_dispatch_meta_zeros_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3455946Z test_dispatch_meta_zeros_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456082Z test_dispatch_meta_zeros_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456217Z test_dispatch_meta_zeros_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456357Z test_dispatch_meta_zeros_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456487Z test_dispatch_meta_zeros_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456618Z test_dispatch_meta_zeros_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456745Z test_dispatch_meta_zeros_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456873Z test_dispatch_meta_zeros_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3456991Z test_dispatch_meta_zeros_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3457120Z test_dispatch_meta_zeros_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3457261Z test_dispatch_meta_zeros_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3457397Z test_dispatch_meta_zeros_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3457542Z test_dispatch_meta_zeros_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3457716Z test_dispatch_meta_zeros_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3457855Z test_dispatch_meta_zeros_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3457995Z test_dispatch_meta_zeros_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3458129Z test_dispatch_meta_zeros_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3458249Z test_dispatch_meta_zeros_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3458412Z test_dispatch_meta_zeros_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3458553Z test_dispatch_meta_zeros_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3458687Z test_dispatch_meta_zeros_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3458821Z test_dispatch_meta_zeros_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3458958Z test_dispatch_meta_zeros_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3459373Z test_empty_quantized_cpu (__main__.TestMetaCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_empty_quantized test_meta.py line 896 2022-12-01T10:23:49.3459439Z due to: 2022-12-01T10:23:49.3459520Z Traceback (most recent call last): 2022-12-01T10:23:49.3459778Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:23:49.3459867Z assert device.type != "meta" 2022-12-01T10:23:49.3459942Z AssertionError 2022-12-01T10:23:49.3459951Z 2022-12-01T10:23:49.3460024Z from user code: 2022-12-01T10:23:49.3460140Z File "test_meta.py", line 897, in test_empty_quantized 2022-12-01T10:23:49.3460318Z r = torch.empty(2 ** 52, device='meta', dtype=torch.qint8) 2022-12-01T10:23:49.3460323Z 2022-12-01T10:23:49.3460442Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.3460507Z ========== 2022-12-01T10:23:49.3460572Z ok (0.003s) 2022-12-01T10:23:49.3460708Z test_map_location_deserialize_cpu (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3460828Z test_meta_H_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3460943Z test_meta_H_cpu_bool (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3461065Z test_meta_H_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3461186Z test_meta_H_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3461292Z test_meta_H_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3461412Z test_meta_H_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3461531Z test_meta_H_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3461648Z test_meta_H_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3461766Z test_meta_H_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3461882Z test_meta_H_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3461997Z test_meta_H_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462099Z test_meta_H_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462212Z test_meta_H_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462330Z test_meta_T_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462445Z test_meta_T_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462567Z test_meta_T_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462689Z test_meta_T_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462806Z test_meta_T_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3462923Z test_meta_T_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463027Z test_meta_T_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463171Z test_meta_T_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463288Z test_meta_T_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463403Z test_meta_T_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463518Z test_meta_T_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463630Z test_meta_T_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463742Z test_meta_T_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3463872Z test_meta___getitem___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3464046Z test_meta___getitem___cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3464183Z test_meta___getitem___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3464312Z test_meta___getitem___cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3464444Z test_meta___getitem___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3464572Z test_meta___getitem___cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3464699Z test_meta___getitem___cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3464821Z test_meta___getitem___cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3464946Z test_meta___getitem___cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3465059Z test_meta___getitem___cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3465184Z test_meta___getitem___cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3465311Z test_meta___getitem___cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3465434Z test_meta___getitem___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3465560Z test_meta___radd___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3465685Z test_meta___radd___cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3465816Z test_meta___radd___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3465945Z test_meta___radd___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3466056Z test_meta___radd___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3466184Z test_meta___radd___cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3466310Z test_meta___radd___cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3466434Z test_meta___radd___cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3466557Z test_meta___radd___cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3466676Z test_meta___radd___cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3466797Z test_meta___radd___cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3466904Z test_meta___radd___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3467024Z test_meta___rand___cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3467140Z test_meta___rand___cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3467253Z test_meta___rand___cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3467366Z test_meta___rand___cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3467482Z test_meta___rand___cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3467599Z test_meta___rand___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3467729Z test_meta___rdiv___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3467838Z test_meta___rdiv___cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3467970Z test_meta___rdiv___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3468099Z test_meta___rdiv___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3468251Z test_meta___rdiv___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3468373Z test_meta___rdiv___cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3468495Z test_meta___rdiv___cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3468616Z test_meta___rdiv___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3468734Z test_meta___rdiv___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3468837Z test_meta___rdiv___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3468982Z test_meta___rdiv___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3469101Z test_meta___rdiv___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3469229Z test_meta___rmatmul___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3469361Z test_meta___rmatmul___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3469495Z test_meta___rmatmul___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3469622Z test_meta___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3469750Z test_meta___rmatmul___cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3469862Z test_meta___rmatmul___cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3469985Z test_meta___rmatmul___cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3470109Z test_meta___rmatmul___cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3470234Z test_meta___rmatmul___cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3470360Z test_meta___rmatmul___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3470482Z test_meta___rmod___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3470605Z test_meta___rmod___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3470728Z test_meta___rmod___cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3470839Z test_meta___rmod___cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3470962Z test_meta___rmul___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3471083Z test_meta___rmul___cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3471211Z test_meta___rmul___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3471335Z test_meta___rmul___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3471458Z test_meta___rmul___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3471580Z test_meta___rmul___cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3471699Z test_meta___rmul___cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3471808Z test_meta___rmul___cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3471930Z test_meta___rmul___cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472045Z test_meta___rmul___cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472165Z test_meta___rmul___cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472280Z test_meta___rmul___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3472399Z test_meta___ror___cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472517Z test_meta___ror___cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472632Z test_meta___ror___cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472735Z test_meta___ror___cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472852Z test_meta___ror___cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3472967Z test_meta___ror___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3473123Z test_meta___rpow___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3473251Z test_meta___rpow___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3473379Z test_meta___rpow___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3473502Z test_meta___rpow___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3473611Z test_meta___rpow___cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3473748Z test_meta___rpow___cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3473867Z test_meta___rpow___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3474011Z test_meta___rpow___cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3474130Z test_meta___rpow___cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3474249Z test_meta___rpow___cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3474366Z test_meta___rpow___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3474491Z test_meta___rsub___cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3474607Z test_meta___rsub___cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3474734Z test_meta___rsub___cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3474856Z test_meta___rsub___cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3474980Z test_meta___rsub___cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3475101Z test_meta___rsub___cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3475222Z test_meta___rsub___cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3475340Z test_meta___rsub___cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3475455Z test_meta___rsub___cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3475563Z test_meta___rsub___cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3475681Z test_meta___rsub___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3475798Z test_meta___rxor___cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3475913Z test_meta___rxor___cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3476029Z test_meta___rxor___cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3476144Z test_meta___rxor___cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3476261Z test_meta___rxor___cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3476376Z test_meta___rxor___cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3476487Z test_meta_abs_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3476608Z test_meta_abs_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3476729Z test_meta_abs_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3476852Z test_meta_abs_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3476974Z test_meta_abs_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477092Z test_meta_abs_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477208Z test_meta_abs_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477325Z test_meta_abs_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477430Z test_meta_abs_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477545Z test_meta_abs_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477665Z test_meta_abs_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477783Z test_meta_abs_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3477908Z test_meta_acos_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478026Z test_meta_acos_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478186Z test_meta_acos_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478301Z test_meta_acos_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478423Z test_meta_acos_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478542Z test_meta_acos_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478659Z test_meta_acos_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478777Z test_meta_acos_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3478895Z test_meta_acos_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479039Z test_meta_acos_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479159Z test_meta_acos_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479273Z test_meta_acosh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479392Z test_meta_acosh_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479519Z test_meta_acosh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479646Z test_meta_acosh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479767Z test_meta_acosh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3479887Z test_meta_acosh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3480009Z test_meta_acosh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3480126Z test_meta_acosh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3480231Z test_meta_acosh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3480348Z test_meta_acosh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3480467Z test_meta_acosh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3480589Z test_meta_add_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3480710Z test_meta_add_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3480834Z test_meta_add_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3480958Z test_meta_add_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3481078Z test_meta_add_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3481185Z test_meta_add_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3481301Z test_meta_add_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3481417Z test_meta_add_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3481535Z test_meta_add_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3481650Z test_meta_add_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3481768Z test_meta_add_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3481886Z test_meta_add_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3481993Z test_meta_add_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3482122Z test_meta_addbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3482249Z test_meta_addbmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3482376Z test_meta_addbmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3482501Z test_meta_addbmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3482621Z test_meta_addbmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3482745Z test_meta_addbmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3482864Z test_meta_addbmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3482966Z test_meta_addbmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3483086Z test_meta_addbmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3483231Z test_meta_addbmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3483359Z test_meta_addcdiv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3483491Z test_meta_addcdiv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3483619Z test_meta_addcdiv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3483749Z test_meta_addcdiv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3483874Z test_meta_addcdiv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3483989Z test_meta_addcmul_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3484143Z test_meta_addcmul_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3484274Z test_meta_addcmul_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3484399Z test_meta_addcmul_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3484527Z test_meta_addcmul_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3484652Z test_meta_addcmul_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3484773Z test_meta_addcmul_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3484892Z test_meta_addcmul_cpu_int64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3485002Z test_meta_addcmul_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3485123Z test_meta_addcmul_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3485247Z test_meta_addmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3485376Z test_meta_addmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3485503Z test_meta_addmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3485625Z test_meta_addmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3485747Z test_meta_addmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3485856Z test_meta_addmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3485973Z test_meta_addmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3486090Z test_meta_addmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3486208Z test_meta_addmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3486327Z test_meta_addmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3486467Z test_meta_addmm_decomposed_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3486614Z test_meta_addmm_decomposed_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3486757Z test_meta_addmm_decomposed_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3486884Z test_meta_addmm_decomposed_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3487164Z test_meta_addmm_decomposed_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3487304Z test_meta_addmm_decomposed_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3487440Z test_meta_addmm_decomposed_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3487574Z test_meta_addmm_decomposed_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3487707Z test_meta_addmm_decomposed_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3487841Z test_meta_addmm_decomposed_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3487968Z test_meta_addmv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3488087Z test_meta_addmv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3488216Z test_meta_addmv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3488341Z test_meta_addmv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3488464Z test_meta_addmv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3488634Z test_meta_addmv_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3488752Z test_meta_addmv_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3488871Z test_meta_addmv_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3488991Z test_meta_addmv_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3489098Z test_meta_addmv_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3489223Z test_meta_addr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3489343Z test_meta_addr_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3489519Z test_meta_addr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3489646Z test_meta_addr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3489767Z test_meta_addr_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3489887Z test_meta_addr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3490002Z test_meta_addr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3490107Z test_meta_addr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3490225Z test_meta_addr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3490344Z test_meta_addr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3490463Z test_meta_addr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3490580Z test_meta_addr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3490706Z test_meta_all_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3490826Z test_meta_all_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3490953Z test_meta_all_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3491065Z test_meta_all_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3491188Z test_meta_all_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3491375Z test_meta_all_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3491492Z test_meta_all_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3491611Z test_meta_all_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3491728Z test_meta_all_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3491845Z test_meta_all_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3491950Z test_meta_all_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3492071Z test_meta_all_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3492202Z test_meta_allclose_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3492335Z test_meta_allclose_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.3492466Z test_meta_allclose_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.3492596Z test_meta_allclose_cpu_float16 (__main__.TestMetaCPU) ... ok (0.135s) 2022-12-01T10:23:49.3492722Z test_meta_allclose_cpu_float32 (__main__.TestMetaCPU) ... ok (0.132s) 2022-12-01T10:23:49.3492851Z test_meta_allclose_cpu_float64 (__main__.TestMetaCPU) ... ok (0.133s) 2022-12-01T10:23:49.3492963Z test_meta_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493082Z test_meta_amax_cpu_bool (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493203Z test_meta_amax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493325Z test_meta_amax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493442Z test_meta_amax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493561Z test_meta_amax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493679Z test_meta_amax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493841Z test_meta_amax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3493946Z test_meta_amax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494094Z test_meta_amax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494218Z test_meta_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494334Z test_meta_amin_cpu_bool (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494454Z test_meta_amin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494572Z test_meta_amin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494713Z test_meta_amin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494830Z test_meta_amin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3494934Z test_meta_amin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3495051Z test_meta_amin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3495171Z test_meta_amin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3495287Z test_meta_amin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3495412Z test_meta_aminmax_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3495540Z test_meta_aminmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3495667Z test_meta_aminmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3495776Z test_meta_aminmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3495897Z test_meta_aminmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3496019Z test_meta_aminmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3496141Z test_meta_aminmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3496260Z test_meta_aminmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3496388Z test_meta_angle_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3496507Z test_meta_angle_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3496633Z test_meta_angle_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3496747Z test_meta_angle_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3496870Z test_meta_angle_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3496990Z test_meta_angle_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3497107Z test_meta_angle_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3497229Z test_meta_angle_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3497346Z test_meta_angle_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3497461Z test_meta_angle_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3497578Z test_meta_angle_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3497687Z test_meta_angle_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3497807Z test_meta_any_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3497924Z test_meta_any_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3498051Z test_meta_any_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3498179Z test_meta_any_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3498300Z test_meta_any_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3498416Z test_meta_any_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3498535Z test_meta_any_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3498642Z test_meta_any_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3498761Z test_meta_any_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3498908Z test_meta_any_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3499023Z test_meta_any_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3499139Z test_meta_any_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3499267Z test_meta_arange_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3499391Z test_meta_arange_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3499500Z test_meta_arange_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3499619Z test_meta_arange_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3499767Z test_meta_arange_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3499889Z test_meta_arange_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3500006Z test_meta_arange_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3500124Z test_meta_arange_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3500243Z test_meta_arange_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3500373Z test_meta_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3500487Z test_meta_argmax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3500608Z test_meta_argmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3500725Z test_meta_argmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3500845Z test_meta_argmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3500963Z test_meta_argmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501082Z test_meta_argmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501203Z test_meta_argmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501319Z test_meta_argmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501434Z test_meta_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501557Z test_meta_argmin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501679Z test_meta_argmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501799Z test_meta_argmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3501920Z test_meta_argmin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3502038Z test_meta_argmin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3502153Z test_meta_argmin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3502275Z test_meta_argmin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3502379Z test_meta_argmin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3502509Z test_meta_argsort_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3502632Z test_meta_argsort_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3502760Z test_meta_argsort_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3502885Z test_meta_argsort_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3503007Z test_meta_argsort_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3503132Z test_meta_argsort_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3503242Z test_meta_argsort_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3503359Z test_meta_argsort_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3503480Z test_meta_argsort_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3503601Z test_meta_argsort_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3503732Z test_meta_argwhere_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3503856Z test_meta_argwhere_cpu_bool (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504017Z test_meta_argwhere_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504147Z test_meta_argwhere_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504263Z test_meta_argwhere_cpu_float16 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504389Z test_meta_argwhere_cpu_float32 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504513Z test_meta_argwhere_cpu_float64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504637Z test_meta_argwhere_cpu_int16 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504758Z test_meta_argwhere_cpu_int32 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3504903Z test_meta_argwhere_cpu_int64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3505026Z test_meta_argwhere_cpu_int8 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3505146Z test_meta_argwhere_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3505265Z test_meta_as_strided_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3505390Z test_meta_as_strided_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3505525Z test_meta_as_strided_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3505656Z test_meta_as_strided_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3505788Z test_meta_as_strided_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3505916Z test_meta_as_strided_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506043Z test_meta_as_strided_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506170Z test_meta_as_strided_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506284Z test_meta_as_strided_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506407Z test_meta_as_strided_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506533Z test_meta_as_strided_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506659Z test_meta_as_strided_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506783Z test_meta_as_strided_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3506925Z test_meta_as_strided_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3507059Z test_meta_as_strided_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3507203Z test_meta_as_strided_scatter_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3507334Z test_meta_as_strided_scatter_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3507472Z test_meta_as_strided_scatter_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3507608Z test_meta_as_strided_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3507746Z test_meta_as_strided_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3507884Z test_meta_as_strided_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3508018Z test_meta_as_strided_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3508154Z test_meta_as_strided_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3508288Z test_meta_as_strided_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3508411Z test_meta_as_strided_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3508545Z test_meta_as_strided_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3508669Z test_meta_asin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3508787Z test_meta_asin_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3508914Z test_meta_asin_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509067Z test_meta_asin_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509187Z test_meta_asin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509305Z test_meta_asin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509411Z test_meta_asin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509527Z test_meta_asin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509643Z test_meta_asin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509764Z test_meta_asin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3509906Z test_meta_asin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510032Z test_meta_asinh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510148Z test_meta_asinh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510274Z test_meta_asinh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510390Z test_meta_asinh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510509Z test_meta_asinh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510628Z test_meta_asinh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510747Z test_meta_asinh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510863Z test_meta_asinh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3510977Z test_meta_asinh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3511091Z test_meta_asinh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3511213Z test_meta_asinh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3511324Z test_meta_atan2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3511439Z test_meta_atan2_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3511562Z test_meta_atan2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3511686Z test_meta_atan2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3511806Z test_meta_atan2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3511923Z test_meta_atan2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3512037Z test_meta_atan2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3512141Z test_meta_atan2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3512259Z test_meta_atan2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3512381Z test_meta_atan_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3512501Z test_meta_atan_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3512626Z test_meta_atan_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3512751Z test_meta_atan_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3512873Z test_meta_atan_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3512992Z test_meta_atan_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513098Z test_meta_atan_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513214Z test_meta_atan_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513331Z test_meta_atan_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513447Z test_meta_atan_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513564Z test_meta_atan_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513691Z test_meta_atanh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513808Z test_meta_atanh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3513936Z test_meta_atanh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514049Z test_meta_atanh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514200Z test_meta_atanh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514323Z test_meta_atanh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514441Z test_meta_atanh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514559Z test_meta_atanh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514673Z test_meta_atanh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514791Z test_meta_atanh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3514909Z test_meta_atanh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3515051Z test_meta_atleast_1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3515179Z test_meta_atleast_1d_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3515310Z test_meta_atleast_1d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3515444Z test_meta_atleast_1d_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3515575Z test_meta_atleast_1d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3515704Z test_meta_atleast_1d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3515830Z test_meta_atleast_1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3515945Z test_meta_atleast_1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3516071Z test_meta_atleast_1d_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3516195Z test_meta_atleast_1d_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3516320Z test_meta_atleast_1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3516445Z test_meta_atleast_1d_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3516570Z test_meta_atleast_1d_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3516702Z test_meta_atleast_2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3516828Z test_meta_atleast_2d_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3516949Z test_meta_atleast_2d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3517078Z test_meta_atleast_2d_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3517207Z test_meta_atleast_2d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3517335Z test_meta_atleast_2d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3517461Z test_meta_atleast_2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3517589Z test_meta_atleast_2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3517716Z test_meta_atleast_2d_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3517838Z test_meta_atleast_2d_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3517952Z test_meta_atleast_2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3518076Z test_meta_atleast_2d_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3518201Z test_meta_atleast_2d_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3518334Z test_meta_atleast_3d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3518457Z test_meta_atleast_3d_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3518589Z test_meta_atleast_3d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3518718Z test_meta_atleast_3d_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3518847Z test_meta_atleast_3d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3518961Z test_meta_atleast_3d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3519086Z test_meta_atleast_3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3519241Z test_meta_atleast_3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3519363Z test_meta_atleast_3d_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3519488Z test_meta_atleast_3d_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3519610Z test_meta_atleast_3d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3519735Z test_meta_atleast_3d_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3519856Z test_meta_atleast_3d_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3519969Z test_meta_baddbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3520124Z test_meta_baddbmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3520257Z test_meta_baddbmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3520383Z test_meta_baddbmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3520510Z test_meta_baddbmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3520633Z test_meta_baddbmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3520755Z test_meta_baddbmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3520873Z test_meta_baddbmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3520982Z test_meta_baddbmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3521103Z test_meta_baddbmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3521229Z test_meta_bernoulli_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3521355Z test_meta_bernoulli_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3521482Z test_meta_bernoulli_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3521611Z test_meta_bfloat16_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3521734Z test_meta_bfloat16_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3521864Z test_meta_bfloat16_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3521979Z test_meta_bfloat16_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3522107Z test_meta_bfloat16_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3522232Z test_meta_bfloat16_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3522358Z test_meta_bfloat16_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3522480Z test_meta_bfloat16_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3522608Z test_meta_bfloat16_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3522728Z test_meta_bfloat16_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3522845Z test_meta_bfloat16_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3522955Z test_meta_bfloat16_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3523075Z test_meta_bfloat16_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3523195Z test_meta_bincount_cpu_int16 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3523313Z test_meta_bincount_cpu_int32 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3523430Z test_meta_bincount_cpu_int64 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3523550Z test_meta_bincount_cpu_int8 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3523669Z test_meta_bincount_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3523786Z test_meta_bitwise_and_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3523918Z test_meta_bitwise_and_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524043Z test_meta_bitwise_and_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524167Z test_meta_bitwise_and_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524321Z test_meta_bitwise_and_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524445Z test_meta_bitwise_and_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524580Z test_meta_bitwise_left_shift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524715Z test_meta_bitwise_left_shift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524837Z test_meta_bitwise_left_shift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3524971Z test_meta_bitwise_left_shift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3525145Z test_meta_bitwise_left_shift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3525272Z test_meta_bitwise_not_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3525397Z test_meta_bitwise_not_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3525522Z test_meta_bitwise_not_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3525652Z test_meta_bitwise_not_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3525774Z test_meta_bitwise_not_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3525886Z test_meta_bitwise_not_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3526015Z test_meta_bitwise_or_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3526137Z test_meta_bitwise_or_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3526259Z test_meta_bitwise_or_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3526385Z test_meta_bitwise_or_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3526507Z test_meta_bitwise_or_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3526630Z test_meta_bitwise_or_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3526770Z test_meta_bitwise_right_shift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3526897Z test_meta_bitwise_right_shift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3527166Z test_meta_bitwise_right_shift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3527303Z test_meta_bitwise_right_shift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3527436Z test_meta_bitwise_right_shift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3527561Z test_meta_bitwise_xor_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3527687Z test_meta_bitwise_xor_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3527815Z test_meta_bitwise_xor_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3527939Z test_meta_bitwise_xor_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3528049Z test_meta_bitwise_xor_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3528175Z test_meta_bitwise_xor_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3528308Z test_meta_block_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3528435Z test_meta_block_diag_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3528572Z test_meta_block_diag_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3528705Z test_meta_block_diag_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3528837Z test_meta_block_diag_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3528966Z test_meta_block_diag_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3529083Z test_meta_block_diag_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3529216Z test_meta_block_diag_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3529343Z test_meta_block_diag_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3529519Z test_meta_block_diag_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3529644Z test_meta_block_diag_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3529772Z test_meta_block_diag_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3529898Z test_meta_block_diag_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3530020Z test_meta_bmm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3530133Z test_meta_bmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3530256Z test_meta_bmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3530411Z test_meta_bmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3530531Z test_meta_bmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3530650Z test_meta_bmm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3530769Z test_meta_bmm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3530888Z test_meta_bmm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3531006Z test_meta_bmm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3531109Z test_meta_bmm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3531304Z test_meta_bool_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3531426Z test_meta_bool_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3531554Z test_meta_bool_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3531684Z test_meta_bool_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3531809Z test_meta_bool_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3531932Z test_meta_bool_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3532039Z test_meta_bool_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3532157Z test_meta_bool_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3532275Z test_meta_bool_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3532395Z test_meta_bool_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3532512Z test_meta_bool_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3532631Z test_meta_bool_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3532750Z test_meta_bool_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3532888Z test_meta_broadcast_shapes_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3533018Z test_meta_broadcast_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3533155Z test_meta_broadcast_tensors_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3533299Z test_meta_broadcast_tensors_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3533441Z test_meta_broadcast_tensors_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3533582Z test_meta_broadcast_tensors_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3533721Z test_meta_broadcast_tensors_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3533860Z test_meta_broadcast_tensors_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3533995Z test_meta_broadcast_tensors_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3534118Z test_meta_broadcast_tensors_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3534252Z test_meta_broadcast_tensors_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3534388Z test_meta_broadcast_tensors_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3534521Z test_meta_broadcast_tensors_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3534656Z test_meta_broadcast_to_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3534823Z test_meta_broadcast_to_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3534959Z test_meta_broadcast_to_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3535091Z test_meta_broadcast_to_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3535210Z test_meta_broadcast_to_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3535344Z test_meta_broadcast_to_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3535471Z test_meta_broadcast_to_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3535627Z test_meta_broadcast_to_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3535757Z test_meta_broadcast_to_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3535884Z test_meta_broadcast_to_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3536012Z test_meta_broadcast_to_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3536142Z test_meta_broadcast_to_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3536255Z test_meta_bucketize_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.179s) 2022-12-01T10:23:49.3536384Z test_meta_bucketize_cpu_float16 (__main__.TestMetaCPU) ... ok (0.184s) 2022-12-01T10:23:49.3536510Z test_meta_bucketize_cpu_float32 (__main__.TestMetaCPU) ... ok (0.179s) 2022-12-01T10:23:49.3536638Z test_meta_bucketize_cpu_float64 (__main__.TestMetaCPU) ... ok (0.179s) 2022-12-01T10:23:49.3536762Z test_meta_bucketize_cpu_int16 (__main__.TestMetaCPU) ... ok (0.178s) 2022-12-01T10:23:49.3536889Z test_meta_bucketize_cpu_int32 (__main__.TestMetaCPU) ... ok (0.178s) 2022-12-01T10:23:49.3537012Z test_meta_bucketize_cpu_int64 (__main__.TestMetaCPU) ... ok (0.178s) 2022-12-01T10:23:49.3537138Z test_meta_bucketize_cpu_int8 (__main__.TestMetaCPU) ... ok (0.178s) 2022-12-01T10:23:49.3537251Z test_meta_bucketize_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.178s) 2022-12-01T10:23:49.3537377Z test_meta_byte_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3537494Z test_meta_byte_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3537619Z test_meta_byte_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3537746Z test_meta_byte_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3537866Z test_meta_byte_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3537984Z test_meta_byte_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3538099Z test_meta_byte_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3538207Z test_meta_byte_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3538347Z test_meta_byte_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3538462Z test_meta_byte_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3538582Z test_meta_byte_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3538699Z test_meta_byte_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3538836Z test_meta_cartesian_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3538968Z test_meta_cartesian_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3539107Z test_meta_cartesian_prod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3539234Z test_meta_cartesian_prod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3539369Z test_meta_cartesian_prod_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3539504Z test_meta_cartesian_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3539636Z test_meta_cartesian_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3539766Z test_meta_cartesian_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3539926Z test_meta_cartesian_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3540053Z test_meta_cartesian_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3540183Z test_meta_cartesian_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3540296Z test_meta_cartesian_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3540419Z test_meta_cat_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3540536Z test_meta_cat_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3540660Z test_meta_cat_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3540811Z test_meta_cat_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3540932Z test_meta_cat_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3541056Z test_meta_cat_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3541178Z test_meta_cat_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3541282Z test_meta_cat_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3541400Z test_meta_cat_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3541517Z test_meta_cat_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3541632Z test_meta_cat_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3541750Z test_meta_cat_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3541866Z test_meta_cat_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3541991Z test_meta_cdist_cpu_float32 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3542102Z test_meta_cdist_cpu_float64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3542222Z test_meta_ceil_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3542345Z test_meta_ceil_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3542465Z test_meta_ceil_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3542583Z test_meta_ceil_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3542702Z test_meta_ceil_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3542819Z test_meta_ceil_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3542935Z test_meta_ceil_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3543039Z test_meta_ceil_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3543166Z test_meta_chalf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3543286Z test_meta_chalf_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3543414Z test_meta_chalf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3543541Z test_meta_chalf_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3543665Z test_meta_chalf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3543789Z test_meta_chalf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3543910Z test_meta_chalf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3544015Z test_meta_chalf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3544133Z test_meta_chalf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3544250Z test_meta_chalf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3544366Z test_meta_chalf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3544483Z test_meta_chalf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3544605Z test_meta_chalf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3544727Z test_meta_char_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3544844Z test_meta_char_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3545009Z test_meta_char_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545135Z test_meta_char_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545256Z test_meta_char_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545378Z test_meta_char_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545495Z test_meta_char_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545610Z test_meta_char_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545728Z test_meta_char_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545858Z test_meta_char_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3545977Z test_meta_char_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3546095Z test_meta_char_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3546212Z test_meta_char_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3546346Z test_meta_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3546478Z test_meta_cholesky_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3546607Z test_meta_cholesky_cpu_float32 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3546734Z test_meta_cholesky_cpu_float64 (__main__.TestMetaCPU) ... ok (0.110s) 2022-12-01T10:23:49.3546864Z test_meta_cholesky_inverse_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.087s) 2022-12-01T10:23:49.3547007Z test_meta_cholesky_inverse_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.087s) 2022-12-01T10:23:49.3547146Z test_meta_cholesky_inverse_cpu_float32 (__main__.TestMetaCPU) ... ok (0.086s) 2022-12-01T10:23:49.3547280Z test_meta_cholesky_inverse_cpu_float64 (__main__.TestMetaCPU) ... ok (0.087s) 2022-12-01T10:23:49.3547418Z test_meta_cholesky_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.120s) 2022-12-01T10:23:49.3547554Z test_meta_cholesky_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.119s) 2022-12-01T10:23:49.3547693Z test_meta_cholesky_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.119s) 2022-12-01T10:23:49.3547829Z test_meta_cholesky_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.119s) 2022-12-01T10:23:49.3547942Z test_meta_chunk_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3548059Z test_meta_chunk_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3548185Z test_meta_chunk_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3548314Z test_meta_chunk_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3548441Z test_meta_chunk_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3548563Z test_meta_chunk_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3548684Z test_meta_chunk_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3548801Z test_meta_chunk_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3548910Z test_meta_chunk_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3549028Z test_meta_chunk_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3549141Z test_meta_chunk_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3549260Z test_meta_chunk_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3549380Z test_meta_chunk_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3549505Z test_meta_clamp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3549631Z test_meta_clamp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3549754Z test_meta_clamp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3549861Z test_meta_clamp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3549975Z test_meta_clamp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3550116Z test_meta_clamp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3550234Z test_meta_clamp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3550352Z test_meta_clamp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3550482Z test_meta_clamp_max_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3550604Z test_meta_clamp_max_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3550731Z test_meta_clamp_max_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3550846Z test_meta_clamp_max_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3550995Z test_meta_clamp_max_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3551122Z test_meta_clamp_max_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3551245Z test_meta_clamp_max_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3551370Z test_meta_clamp_max_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3551496Z test_meta_clamp_max_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3551620Z test_meta_clamp_max_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3551738Z test_meta_clamp_min_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3551860Z test_meta_clamp_min_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3551987Z test_meta_clamp_min_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3552113Z test_meta_clamp_min_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3552240Z test_meta_clamp_min_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3552365Z test_meta_clamp_min_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3552489Z test_meta_clamp_min_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3552613Z test_meta_clamp_min_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3552726Z test_meta_clamp_min_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3552850Z test_meta_clamp_min_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3552974Z test_meta_clone_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553092Z test_meta_clone_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553219Z test_meta_clone_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553343Z test_meta_clone_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553471Z test_meta_clone_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553597Z test_meta_clone_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553705Z test_meta_clone_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553823Z test_meta_clone_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3553945Z test_meta_clone_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3554062Z test_meta_clone_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3554177Z test_meta_clone_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3554294Z test_meta_clone_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3554413Z test_meta_clone_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3554544Z test_meta_column_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3554657Z test_meta_column_stack_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3554799Z test_meta_column_stack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3554936Z test_meta_column_stack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3555069Z test_meta_column_stack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3555227Z test_meta_column_stack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3555353Z test_meta_column_stack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3555484Z test_meta_column_stack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3555610Z test_meta_column_stack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3555726Z test_meta_column_stack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3555851Z test_meta_column_stack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3555978Z test_meta_column_stack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3556128Z test_meta_column_stack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3556265Z test_meta_combinations_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3556393Z test_meta_combinations_cpu_bool (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3556532Z test_meta_combinations_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3556670Z test_meta_combinations_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3556789Z test_meta_combinations_cpu_float16 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3556920Z test_meta_combinations_cpu_float32 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3557051Z test_meta_combinations_cpu_float64 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3557180Z test_meta_combinations_cpu_int16 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3557310Z test_meta_combinations_cpu_int32 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3557439Z test_meta_combinations_cpu_int64 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3557567Z test_meta_combinations_cpu_int8 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3557694Z test_meta_combinations_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.081s) 2022-12-01T10:23:49.3557809Z test_meta_complex_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3557935Z test_meta_complex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3558059Z test_meta_complex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3558184Z test_meta_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3558302Z test_meta_conj_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3558425Z test_meta_conj_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3558551Z test_meta_conj_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3558674Z test_meta_conj_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3558783Z test_meta_conj_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3558899Z test_meta_conj_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559019Z test_meta_conj_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559138Z test_meta_conj_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559255Z test_meta_conj_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559372Z test_meta_conj_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559491Z test_meta_conj_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559594Z test_meta_conj_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559728Z test_meta_conj_physical_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559859Z test_meta_conj_physical_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3559996Z test_meta_conj_physical_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3560132Z test_meta_conj_physical_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3560270Z test_meta_conj_physical_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3560437Z test_meta_conj_physical_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3560569Z test_meta_conj_physical_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3560687Z test_meta_conj_physical_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3560816Z test_meta_conj_physical_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3560945Z test_meta_conj_physical_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3561072Z test_meta_conj_physical_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3561238Z test_meta_conj_physical_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3561371Z test_meta_conj_physical_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3561506Z test_meta_constant_pad_nd_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3561641Z test_meta_constant_pad_nd_cpu_bool (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3561768Z test_meta_constant_pad_nd_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3561909Z test_meta_constant_pad_nd_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3562043Z test_meta_constant_pad_nd_cpu_float16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3562179Z test_meta_constant_pad_nd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3562312Z test_meta_constant_pad_nd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3562445Z test_meta_constant_pad_nd_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3562577Z test_meta_constant_pad_nd_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3562709Z test_meta_constant_pad_nd_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3562829Z test_meta_constant_pad_nd_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3562960Z test_meta_constant_pad_nd_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3563093Z test_meta_contiguous_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3563221Z test_meta_contiguous_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3563355Z test_meta_contiguous_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3563487Z test_meta_contiguous_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3563620Z test_meta_contiguous_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3563751Z test_meta_contiguous_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3563867Z test_meta_contiguous_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3563996Z test_meta_contiguous_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3564125Z test_meta_contiguous_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3564254Z test_meta_contiguous_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3564381Z test_meta_contiguous_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3564507Z test_meta_contiguous_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3564634Z test_meta_contiguous_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3564763Z test_meta_copysign_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3564876Z test_meta_copysign_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3565004Z test_meta_copysign_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3565129Z test_meta_copysign_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3565254Z test_meta_copysign_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3565380Z test_meta_copysign_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3565530Z test_meta_copysign_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3565648Z test_meta_copysign_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3565773Z test_meta_copysign_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3565881Z test_meta_copysign_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3566008Z test_meta_corrcoef_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3566139Z test_meta_corrcoef_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3566268Z test_meta_corrcoef_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3566418Z test_meta_corrcoef_cpu_float32 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3566544Z test_meta_corrcoef_cpu_float64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3566668Z test_meta_corrcoef_cpu_int16 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3566793Z test_meta_corrcoef_cpu_int32 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3566901Z test_meta_corrcoef_cpu_int64 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3567148Z test_meta_corrcoef_cpu_int8 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3567269Z test_meta_corrcoef_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.025s) 2022-12-01T10:23:49.3567392Z test_meta_cos_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3567510Z test_meta_cos_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3567637Z test_meta_cos_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3567764Z test_meta_cos_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3567885Z test_meta_cos_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3567989Z test_meta_cos_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568108Z test_meta_cos_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568229Z test_meta_cos_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568348Z test_meta_cos_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568465Z test_meta_cos_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568582Z test_meta_cos_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568707Z test_meta_cosh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568812Z test_meta_cosh_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3568939Z test_meta_cosh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569067Z test_meta_cosh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569189Z test_meta_cosh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569307Z test_meta_cosh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569429Z test_meta_cosh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569550Z test_meta_cosh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569672Z test_meta_cosh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569774Z test_meta_cosh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3569889Z test_meta_cosh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3570024Z test_meta_count_nonzero_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3570154Z test_meta_count_nonzero_cpu_bool (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3570292Z test_meta_count_nonzero_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3570430Z test_meta_count_nonzero_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3570561Z test_meta_count_nonzero_cpu_float16 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3570741Z test_meta_count_nonzero_cpu_float32 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3570857Z test_meta_count_nonzero_cpu_float64 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3570986Z test_meta_count_nonzero_cpu_int16 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3571116Z test_meta_count_nonzero_cpu_int32 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3571328Z test_meta_count_nonzero_cpu_int64 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3571459Z test_meta_count_nonzero_cpu_int8 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3571589Z test_meta_count_nonzero_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3571750Z test_meta_cov_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.195s) 2022-12-01T10:23:49.3571876Z test_meta_cov_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.197s) 2022-12-01T10:23:49.3571988Z test_meta_cov_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3572111Z test_meta_cov_cpu_float32 (__main__.TestMetaCPU) ... ok (0.197s) 2022-12-01T10:23:49.3572231Z test_meta_cov_cpu_float64 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3572350Z test_meta_cov_cpu_int16 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3572466Z test_meta_cov_cpu_int32 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3572584Z test_meta_cov_cpu_int64 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3572702Z test_meta_cov_cpu_int8 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3572818Z test_meta_cov_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.198s) 2022-12-01T10:23:49.3572930Z test_meta_cross_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3573060Z test_meta_cross_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3573187Z test_meta_cross_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3573312Z test_meta_cross_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3573435Z test_meta_cross_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3573553Z test_meta_cross_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3573669Z test_meta_cross_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3573782Z test_meta_cross_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3573888Z test_meta_cross_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3574011Z test_meta_cross_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3574136Z test_meta_cummax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3574254Z test_meta_cummax_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3574376Z test_meta_cummax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3574497Z test_meta_cummax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3574620Z test_meta_cummax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3574728Z test_meta_cummax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3574847Z test_meta_cummax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3574964Z test_meta_cummax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575081Z test_meta_cummax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575205Z test_meta_cummin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575326Z test_meta_cummin_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575451Z test_meta_cummin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575576Z test_meta_cummin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575686Z test_meta_cummin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575803Z test_meta_cummin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3575948Z test_meta_cummin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3576066Z test_meta_cummin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3576182Z test_meta_cummin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3576309Z test_meta_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3576440Z test_meta_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3576570Z test_meta_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3576682Z test_meta_cumprod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3576836Z test_meta_cumprod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3576963Z test_meta_cumprod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3577087Z test_meta_cumprod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3577208Z test_meta_cumprod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3577329Z test_meta_cumprod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3577450Z test_meta_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3577577Z test_meta_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3577692Z test_meta_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3577820Z test_meta_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3577943Z test_meta_cumsum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3578066Z test_meta_cumsum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3578185Z test_meta_cumsum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3578301Z test_meta_cumsum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3578416Z test_meta_cumsum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3578525Z test_meta_cumsum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3578641Z test_meta_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3578786Z test_meta_cumulative_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3578934Z test_meta_cumulative_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3579080Z test_meta_cumulative_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3579222Z test_meta_cumulative_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3579364Z test_meta_cumulative_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3579504Z test_meta_cumulative_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3579645Z test_meta_cumulative_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3579775Z test_meta_cumulative_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3579918Z test_meta_cumulative_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3580055Z test_meta_cumulative_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3580185Z test_meta_deg2rad_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3580309Z test_meta_deg2rad_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3580434Z test_meta_deg2rad_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3580560Z test_meta_deg2rad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3580685Z test_meta_deg2rad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3580796Z test_meta_deg2rad_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3580918Z test_meta_deg2rad_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3581070Z test_meta_deg2rad_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3581190Z test_meta_deg2rad_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3581308Z test_meta_deg2rad_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3581427Z test_meta_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3581545Z test_meta_diag_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3581659Z test_meta_diag_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3581784Z test_meta_diag_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3581928Z test_meta_diag_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3582048Z test_meta_diag_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3582167Z test_meta_diag_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3582285Z test_meta_diag_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3582405Z test_meta_diag_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3582523Z test_meta_diag_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3582628Z test_meta_diag_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3582757Z test_meta_diag_embed_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3582883Z test_meta_diag_embed_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3583018Z test_meta_diag_embed_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3583153Z test_meta_diag_embed_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3583285Z test_meta_diag_embed_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3583414Z test_meta_diag_embed_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3583541Z test_meta_diag_embed_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3583660Z test_meta_diag_embed_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3583788Z test_meta_diag_embed_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3583914Z test_meta_diag_embed_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3584039Z test_meta_diag_embed_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3584165Z test_meta_diag_embed_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3584289Z test_meta_diag_embed_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3584419Z test_meta_diagflat_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3584544Z test_meta_diagflat_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3584663Z test_meta_diagflat_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3584791Z test_meta_diagflat_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3584922Z test_meta_diagflat_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3585048Z test_meta_diagflat_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3585173Z test_meta_diagflat_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3585297Z test_meta_diagflat_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3585416Z test_meta_diagflat_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3585542Z test_meta_diagflat_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3585649Z test_meta_diagflat_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3585779Z test_meta_diagonal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3585904Z test_meta_diagonal_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3586035Z test_meta_diagonal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3586192Z test_meta_diagonal_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3586322Z test_meta_diagonal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3586449Z test_meta_diagonal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3586575Z test_meta_diagonal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3586687Z test_meta_diagonal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3586810Z test_meta_diagonal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3586933Z test_meta_diagonal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3587079Z test_meta_diagonal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3587205Z test_meta_diagonal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3587325Z test_meta_diagonal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3587467Z test_meta_diagonal_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3587590Z test_meta_diagonal_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3587731Z test_meta_diagonal_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3587866Z test_meta_diagonal_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3588000Z test_meta_diagonal_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3588133Z test_meta_diagonal_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3588267Z test_meta_diagonal_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3588403Z test_meta_diagonal_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3588538Z test_meta_diagonal_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3588668Z test_meta_diagonal_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3588781Z test_meta_diff_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.050s) 2022-12-01T10:23:49.3588901Z test_meta_diff_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3589027Z test_meta_diff_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.057s) 2022-12-01T10:23:49.3589152Z test_meta_diff_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.055s) 2022-12-01T10:23:49.3589273Z test_meta_diff_cpu_float16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3589393Z test_meta_diff_cpu_float32 (__main__.TestMetaCPU) ... ok (0.050s) 2022-12-01T10:23:49.3589510Z test_meta_diff_cpu_float64 (__main__.TestMetaCPU) ... ok (0.050s) 2022-12-01T10:23:49.3589619Z test_meta_diff_cpu_int16 (__main__.TestMetaCPU) ... ok (0.048s) 2022-12-01T10:23:49.3589737Z test_meta_diff_cpu_int32 (__main__.TestMetaCPU) ... ok (0.048s) 2022-12-01T10:23:49.3589855Z test_meta_diff_cpu_int64 (__main__.TestMetaCPU) ... ok (0.048s) 2022-12-01T10:23:49.3589975Z test_meta_diff_cpu_int8 (__main__.TestMetaCPU) ... ok (0.048s) 2022-12-01T10:23:49.3590092Z test_meta_diff_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.048s) 2022-12-01T10:23:49.3590219Z test_meta_digamma_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3590340Z test_meta_digamma_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3590466Z test_meta_digamma_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3590579Z test_meta_digamma_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3590703Z test_meta_digamma_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3590826Z test_meta_digamma_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3590946Z test_meta_digamma_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3591067Z test_meta_digamma_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3591186Z test_meta_digamma_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3591331Z test_meta_dist_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3591458Z test_meta_dist_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3591572Z test_meta_dist_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3591691Z test_meta_dist_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3591809Z test_meta_dist_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3591925Z test_meta_dist_cpu_float64 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3592067Z test_meta_div_floor_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3592233Z test_meta_div_floor_rounding_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3592374Z test_meta_div_floor_rounding_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3592512Z test_meta_div_floor_rounding_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3592637Z test_meta_div_floor_rounding_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3592771Z test_meta_div_floor_rounding_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3592904Z test_meta_div_floor_rounding_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3593042Z test_meta_div_floor_rounding_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3593175Z test_meta_div_floor_rounding_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3593317Z test_meta_div_no_rounding_mode_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3593456Z test_meta_div_no_rounding_mode_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3593606Z test_meta_div_no_rounding_mode_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3593738Z test_meta_div_no_rounding_mode_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3593881Z test_meta_div_no_rounding_mode_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3594017Z test_meta_div_no_rounding_mode_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3594148Z test_meta_div_no_rounding_mode_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3594284Z test_meta_div_no_rounding_mode_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3594422Z test_meta_div_no_rounding_mode_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3594559Z test_meta_div_no_rounding_mode_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3594698Z test_meta_div_no_rounding_mode_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3594819Z test_meta_div_no_rounding_mode_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3594963Z test_meta_div_trunc_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3595101Z test_meta_div_trunc_rounding_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3595235Z test_meta_div_trunc_rounding_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3595374Z test_meta_div_trunc_rounding_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3595512Z test_meta_div_trunc_rounding_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3595648Z test_meta_div_trunc_rounding_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3595782Z test_meta_div_trunc_rounding_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3595907Z test_meta_div_trunc_rounding_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3596041Z test_meta_div_trunc_rounding_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3596165Z test_meta_dot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3596289Z test_meta_dot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3596442Z test_meta_dot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3596561Z test_meta_dot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3596680Z test_meta_dot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3596801Z test_meta_dot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3596908Z test_meta_dot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3597028Z test_meta_dot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3597146Z test_meta_dot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3597302Z test_meta_dot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3597429Z test_meta_double_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3597548Z test_meta_double_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3597676Z test_meta_double_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3597805Z test_meta_double_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3597921Z test_meta_double_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598045Z test_meta_double_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598166Z test_meta_double_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598286Z test_meta_double_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598408Z test_meta_double_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598530Z test_meta_double_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598647Z test_meta_double_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3598766Z test_meta_double_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598871Z test_meta_double_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3598999Z test_meta_dsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599121Z test_meta_dsplit_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599252Z test_meta_dsplit_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599379Z test_meta_dsplit_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599507Z test_meta_dsplit_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599628Z test_meta_dsplit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599747Z test_meta_dsplit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599855Z test_meta_dsplit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3599975Z test_meta_dsplit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3600092Z test_meta_dsplit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3600209Z test_meta_dsplit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3600329Z test_meta_dsplit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3600448Z test_meta_dsplit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3600574Z test_meta_dstack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3600683Z test_meta_dstack_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3600811Z test_meta_dstack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3600936Z test_meta_dstack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601065Z test_meta_dstack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601186Z test_meta_dstack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601305Z test_meta_dstack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601424Z test_meta_dstack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601569Z test_meta_dstack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601673Z test_meta_dstack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601787Z test_meta_dstack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3601904Z test_meta_dstack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3602021Z test_meta_dstack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3602144Z test_meta_einsum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3602297Z test_meta_einsum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3602422Z test_meta_einsum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3602546Z test_meta_einsum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3602656Z test_meta_einsum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3602778Z test_meta_einsum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3602896Z test_meta_einsum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3603013Z test_meta_einsum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3603133Z test_meta_einsum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3603250Z test_meta_einsum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3603373Z test_meta_empty_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3603493Z test_meta_empty_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3603609Z test_meta_empty_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3603737Z test_meta_empty_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3603862Z test_meta_empty_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3603991Z test_meta_empty_cpu_float16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604113Z test_meta_empty_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604235Z test_meta_empty_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604354Z test_meta_empty_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604458Z test_meta_empty_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604573Z test_meta_empty_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604691Z test_meta_empty_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604814Z test_meta_empty_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3604943Z test_meta_empty_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605067Z test_meta_empty_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605203Z test_meta_empty_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605336Z test_meta_empty_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605455Z test_meta_empty_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605586Z test_meta_empty_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605713Z test_meta_empty_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605840Z test_meta_empty_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3605967Z test_meta_empty_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3606095Z test_meta_empty_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3606218Z test_meta_empty_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3606344Z test_meta_empty_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3606455Z test_meta_empty_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3606605Z test_meta_eq_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3606722Z test_meta_eq_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3606847Z test_meta_eq_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3607082Z test_meta_eq_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3607201Z test_meta_eq_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3607321Z test_meta_eq_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3607439Z test_meta_eq_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3607591Z test_meta_eq_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3607711Z test_meta_eq_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3607825Z test_meta_eq_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3607944Z test_meta_eq_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3608063Z test_meta_eq_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3608180Z test_meta_eq_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3608308Z test_meta_equal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3608426Z test_meta_equal_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3608541Z test_meta_equal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3608670Z test_meta_equal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3608794Z test_meta_equal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3608918Z test_meta_equal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609038Z test_meta_equal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609158Z test_meta_equal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609277Z test_meta_equal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609380Z test_meta_equal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609500Z test_meta_equal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609619Z test_meta_equal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609740Z test_meta_erf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609854Z test_meta_erf_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3609973Z test_meta_erf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3610092Z test_meta_erf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3610210Z test_meta_erf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3610314Z test_meta_erf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3610430Z test_meta_erf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3610547Z test_meta_erf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3610664Z test_meta_erf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3610787Z test_meta_erfc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3610902Z test_meta_erfc_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611024Z test_meta_erfc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611143Z test_meta_erfc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611332Z test_meta_erfc_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611457Z test_meta_erfc_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611575Z test_meta_erfc_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611691Z test_meta_erfc_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611809Z test_meta_erfc_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3611979Z test_meta_erfinv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612100Z test_meta_erfinv_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612225Z test_meta_erfinv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612335Z test_meta_erfinv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612456Z test_meta_erfinv_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612575Z test_meta_erfinv_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612691Z test_meta_erfinv_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612847Z test_meta_erfinv_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3612964Z test_meta_erfinv_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3613087Z test_meta_exp2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3613193Z test_meta_exp2_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3613315Z test_meta_exp2_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3613434Z test_meta_exp2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3613552Z test_meta_exp2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3613672Z test_meta_exp2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3613791Z test_meta_exp2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3613911Z test_meta_exp2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614030Z test_meta_exp2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614134Z test_meta_exp2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614260Z test_meta_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614377Z test_meta_exp_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614505Z test_meta_exp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614630Z test_meta_exp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614750Z test_meta_exp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614867Z test_meta_exp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3614983Z test_meta_exp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3615087Z test_meta_exp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3615203Z test_meta_exp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3615323Z test_meta_exp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3615440Z test_meta_exp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3615571Z test_meta_expand_as_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3615696Z test_meta_expand_as_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3615830Z test_meta_expand_as_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3615948Z test_meta_expand_as_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3616077Z test_meta_expand_as_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3616207Z test_meta_expand_as_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3616334Z test_meta_expand_as_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3616461Z test_meta_expand_as_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3616586Z test_meta_expand_as_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3616711Z test_meta_expand_as_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3616834Z test_meta_expand_as_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3616944Z test_meta_expand_as_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3617095Z test_meta_expand_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3617218Z test_meta_expand_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3617345Z test_meta_expand_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3617476Z test_meta_expand_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3617600Z test_meta_expand_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3617721Z test_meta_expand_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3617866Z test_meta_expand_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3617976Z test_meta_expand_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3618094Z test_meta_expand_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3618210Z test_meta_expand_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3618332Z test_meta_expand_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3618449Z test_meta_expand_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3618569Z test_meta_expm1_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3618688Z test_meta_expm1_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3618813Z test_meta_expm1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3618923Z test_meta_expm1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3619044Z test_meta_expm1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3619164Z test_meta_expm1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3619277Z test_meta_expm1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3619395Z test_meta_expm1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3619514Z test_meta_expm1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3619634Z test_meta_eye_cpu_bool (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3619760Z test_meta_eye_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3619871Z test_meta_eye_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3619990Z test_meta_eye_cpu_float16 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3620107Z test_meta_eye_cpu_float32 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3620222Z test_meta_eye_cpu_float64 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3620342Z test_meta_eye_cpu_int16 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3620463Z test_meta_eye_cpu_int32 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3620579Z test_meta_eye_cpu_int64 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3620682Z test_meta_eye_cpu_int8 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3620802Z test_meta_eye_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.027s) 2022-12-01T10:23:49.3620925Z test_meta_fft_fft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3621055Z test_meta_fft_fft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3621183Z test_meta_fft_fft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3621309Z test_meta_fft_fft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3621433Z test_meta_fft_fft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3621558Z test_meta_fft_fft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3621667Z test_meta_fft_fft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3621783Z test_meta_fft_fft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3621904Z test_meta_fft_fft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3622024Z test_meta_fft_fft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3622177Z test_meta_fft_fft_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3622305Z test_meta_fft_fft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3622432Z test_meta_fft_fft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3622560Z test_meta_fft_fft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3622671Z test_meta_fft_fft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3622792Z test_meta_fft_fft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3622960Z test_meta_fft_fft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3623080Z test_meta_fft_fft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3623201Z test_meta_fft_fft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3623318Z test_meta_fft_fft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3623436Z test_meta_fft_fftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3623566Z test_meta_fft_fftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3623681Z test_meta_fft_fftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3623806Z test_meta_fft_fftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3623929Z test_meta_fft_fftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3624052Z test_meta_fft_fftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3624172Z test_meta_fft_fftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3624294Z test_meta_fft_fftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3624415Z test_meta_fft_fftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3624533Z test_meta_fft_fftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3624656Z test_meta_fft_fftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3624783Z test_meta_fft_fftshift_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3624920Z test_meta_fft_fftshift_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625053Z test_meta_fft_fftshift_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625187Z test_meta_fft_fftshift_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625317Z test_meta_fft_fftshift_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625446Z test_meta_fft_fftshift_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625576Z test_meta_fft_fftshift_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625692Z test_meta_fft_fftshift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625818Z test_meta_fft_fftshift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3625947Z test_meta_fft_fftshift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3626075Z test_meta_fft_fftshift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3626201Z test_meta_fft_fftshift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3626325Z test_meta_fft_hfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3626455Z test_meta_fft_hfft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3626584Z test_meta_fft_hfft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3626697Z test_meta_fft_hfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3626825Z test_meta_fft_hfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3626947Z test_meta_fft_hfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627071Z test_meta_fft_hfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627220Z test_meta_fft_hfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627341Z test_meta_fft_hfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627463Z test_meta_fft_hfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627575Z test_meta_fft_hfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627703Z test_meta_fft_hfft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627831Z test_meta_fft_hfft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3627955Z test_meta_fft_hfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3628104Z test_meta_fft_hfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3628225Z test_meta_fft_hfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3628343Z test_meta_fft_hfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3628461Z test_meta_fft_hfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3628570Z test_meta_fft_hfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3628690Z test_meta_fft_hfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3628807Z test_meta_fft_hfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3628936Z test_meta_fft_hfftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629066Z test_meta_fft_hfftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629193Z test_meta_fft_hfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629322Z test_meta_fft_hfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629444Z test_meta_fft_hfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629556Z test_meta_fft_hfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629681Z test_meta_fft_hfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629806Z test_meta_fft_hfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3629927Z test_meta_fft_hfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3630051Z test_meta_fft_ifft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3630180Z test_meta_fft_ifft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3630310Z test_meta_fft_ifft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3630435Z test_meta_fft_ifft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3630550Z test_meta_fft_ifft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3630670Z test_meta_fft_ifft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3630791Z test_meta_fft_ifft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3630913Z test_meta_fft_ifft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3631039Z test_meta_fft_ifft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3631160Z test_meta_fft_ifft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3631283Z test_meta_fft_ifft_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3631412Z test_meta_fft_ifft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3631527Z test_meta_fft_ifft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3631652Z test_meta_fft_ifft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3631779Z test_meta_fft_ifft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3631902Z test_meta_fft_ifft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3632021Z test_meta_fft_ifft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3632142Z test_meta_fft_ifft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3632292Z test_meta_fft_ifft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3632409Z test_meta_fft_ifft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3632514Z test_meta_fft_ifftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3632644Z test_meta_fft_ifftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3632775Z test_meta_fft_ifftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3632901Z test_meta_fft_ifftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3633063Z test_meta_fft_ifftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3633188Z test_meta_fft_ifftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3633310Z test_meta_fft_ifftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3633431Z test_meta_fft_ifftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3633543Z test_meta_fft_ifftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3633664Z test_meta_fft_ifftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3633798Z test_meta_fft_ifftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3633928Z test_meta_fft_ifftshift_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634064Z test_meta_fft_ifftshift_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634200Z test_meta_fft_ifftshift_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634334Z test_meta_fft_ifftshift_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634467Z test_meta_fft_ifftshift_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634587Z test_meta_fft_ifftshift_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634717Z test_meta_fft_ifftshift_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634850Z test_meta_fft_ifftshift_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3634982Z test_meta_fft_ifftshift_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3635110Z test_meta_fft_ifftshift_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3635239Z test_meta_fft_ifftshift_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3635368Z test_meta_fft_ifftshift_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3635493Z test_meta_fft_ihfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3635607Z test_meta_fft_ihfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3635738Z test_meta_fft_ihfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3635863Z test_meta_fft_ihfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3635988Z test_meta_fft_ihfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3636113Z test_meta_fft_ihfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3636236Z test_meta_fft_ihfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3636361Z test_meta_fft_ihfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3636471Z test_meta_fft_ihfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3636595Z test_meta_fft_ihfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3636724Z test_meta_fft_ihfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3636850Z test_meta_fft_ihfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3636976Z test_meta_fft_ihfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3637096Z test_meta_fft_ihfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3637222Z test_meta_fft_ihfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3637373Z test_meta_fft_ihfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3637483Z test_meta_fft_ihfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3637611Z test_meta_fft_ihfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3637738Z test_meta_fft_ihfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3637865Z test_meta_fft_ihfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3637989Z test_meta_fft_ihfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3638138Z test_meta_fft_ihfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3638262Z test_meta_fft_ihfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3638386Z test_meta_fft_ihfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3638496Z test_meta_fft_irfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3638631Z test_meta_fft_irfft2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3638760Z test_meta_fft_irfft2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3638886Z test_meta_fft_irfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3639011Z test_meta_fft_irfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3639135Z test_meta_fft_irfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3639259Z test_meta_fft_irfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3639384Z test_meta_fft_irfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3639493Z test_meta_fft_irfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3639615Z test_meta_fft_irfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3639740Z test_meta_fft_irfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3639871Z test_meta_fft_irfft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640001Z test_meta_fft_irfft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640126Z test_meta_fft_irfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640254Z test_meta_fft_irfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640376Z test_meta_fft_irfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640488Z test_meta_fft_irfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640612Z test_meta_fft_irfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640738Z test_meta_fft_irfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640862Z test_meta_fft_irfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3640984Z test_meta_fft_irfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641121Z test_meta_fft_irfftn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641253Z test_meta_fft_irfftn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641380Z test_meta_fft_irfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641493Z test_meta_fft_irfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641621Z test_meta_fft_irfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641746Z test_meta_fft_irfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641870Z test_meta_fft_irfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3641995Z test_meta_fft_irfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3642121Z test_meta_fft_irfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3642247Z test_meta_fft_rfft2_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3642409Z test_meta_fft_rfft2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3642523Z test_meta_fft_rfft2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3642643Z test_meta_fft_rfft2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3642768Z test_meta_fft_rfft2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3642888Z test_meta_fft_rfft2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643013Z test_meta_fft_rfft2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643137Z test_meta_fft_rfft2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643290Z test_meta_fft_rfft_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643416Z test_meta_fft_rfft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643527Z test_meta_fft_rfft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643650Z test_meta_fft_rfft_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643771Z test_meta_fft_rfft_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3643890Z test_meta_fft_rfft_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644011Z test_meta_fft_rfft_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644129Z test_meta_fft_rfft_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644248Z test_meta_fft_rfftn_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644361Z test_meta_fft_rfftn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644487Z test_meta_fft_rfftn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644612Z test_meta_fft_rfftn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644734Z test_meta_fft_rfftn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644855Z test_meta_fft_rfftn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3644982Z test_meta_fft_rfftn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3645106Z test_meta_fft_rfftn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3645229Z test_meta_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3645335Z test_meta_fill_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3645459Z test_meta_fill_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3645584Z test_meta_fill_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3645709Z test_meta_fill_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3645829Z test_meta_fill_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3645950Z test_meta_fill_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646066Z test_meta_fill_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646186Z test_meta_fill_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646291Z test_meta_fill_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646407Z test_meta_fill_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646525Z test_meta_fill_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646640Z test_meta_fill_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646768Z test_meta_flatten_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3646887Z test_meta_flatten_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3647146Z test_meta_flatten_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3647276Z test_meta_flatten_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3647392Z test_meta_flatten_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3647567Z test_meta_flatten_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3647691Z test_meta_flatten_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3647815Z test_meta_flatten_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3647941Z test_meta_flatten_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3648064Z test_meta_flatten_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3648241Z test_meta_flatten_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3648404Z test_meta_flatten_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3648609Z test_meta_flatten_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3648779Z test_meta_flip_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3648950Z test_meta_flip_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3649127Z test_meta_flip_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3649302Z test_meta_flip_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3649501Z test_meta_flip_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3649673Z test_meta_flip_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3649822Z test_meta_flip_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3649987Z test_meta_flip_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3650153Z test_meta_flip_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3650307Z test_meta_flip_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3650467Z test_meta_flip_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3650635Z test_meta_flip_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3650794Z test_meta_fliplr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3650917Z test_meta_fliplr_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3651037Z test_meta_fliplr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3651165Z test_meta_fliplr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3651401Z test_meta_fliplr_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3651526Z test_meta_fliplr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3651646Z test_meta_fliplr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3651768Z test_meta_fliplr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3651893Z test_meta_fliplr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652011Z test_meta_fliplr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652119Z test_meta_fliplr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652236Z test_meta_fliplr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652365Z test_meta_flipud_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652489Z test_meta_flipud_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652619Z test_meta_flipud_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652748Z test_meta_flipud_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652874Z test_meta_flipud_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3652999Z test_meta_flipud_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3653108Z test_meta_flipud_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3653232Z test_meta_flipud_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3653350Z test_meta_flipud_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3653467Z test_meta_flipud_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3653655Z test_meta_flipud_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3653773Z test_meta_flipud_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3653896Z test_meta_float_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3654018Z test_meta_float_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3654132Z test_meta_float_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3654261Z test_meta_float_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3654389Z test_meta_float_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3654548Z test_meta_float_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3654671Z test_meta_float_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3654789Z test_meta_float_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3654910Z test_meta_float_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3655017Z test_meta_float_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3655131Z test_meta_float_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3655248Z test_meta_float_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3655366Z test_meta_float_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3655498Z test_meta_float_power_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3655623Z test_meta_float_power_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3655759Z test_meta_float_power_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3655894Z test_meta_float_power_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3656011Z test_meta_float_power_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3656138Z test_meta_float_power_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3656269Z test_meta_float_power_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3656395Z test_meta_float_power_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3656520Z test_meta_float_power_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3656648Z test_meta_float_power_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3656776Z test_meta_float_power_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3656902Z test_meta_float_power_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3657015Z test_meta_floor_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657138Z test_meta_floor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657257Z test_meta_floor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657375Z test_meta_floor_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657495Z test_meta_floor_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657609Z test_meta_floor_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657727Z test_meta_floor_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657846Z test_meta_floor_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3657967Z test_meta_floor_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3658098Z test_meta_floor_divide_cpu_float16 (__main__.TestMetaCPU) ... ok (0.053s) 2022-12-01T10:23:49.3658227Z test_meta_floor_divide_cpu_float32 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3658356Z test_meta_floor_divide_cpu_float64 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3658485Z test_meta_floor_divide_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3658612Z test_meta_floor_divide_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3658769Z test_meta_floor_divide_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3658896Z test_meta_floor_divide_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3659011Z test_meta_floor_divide_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3659136Z test_meta_fmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3659256Z test_meta_fmax_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3659379Z test_meta_fmax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3659497Z test_meta_fmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3659639Z test_meta_fmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3659760Z test_meta_fmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3659877Z test_meta_fmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3659981Z test_meta_fmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3660098Z test_meta_fmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3660218Z test_meta_fmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3660340Z test_meta_fmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3660457Z test_meta_fmin_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3660578Z test_meta_fmin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3660697Z test_meta_fmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3660801Z test_meta_fmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3660919Z test_meta_fmin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3661036Z test_meta_fmin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3661150Z test_meta_fmin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3661266Z test_meta_fmin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3661381Z test_meta_fmin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3661506Z test_meta_fmod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3661627Z test_meta_fmod_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3661731Z test_meta_fmod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3661846Z test_meta_fmod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3661962Z test_meta_fmod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3662077Z test_meta_fmod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3662193Z test_meta_fmod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3662310Z test_meta_fmod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3662424Z test_meta_fmod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3662551Z test_meta_frac_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3662659Z test_meta_frac_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3662778Z test_meta_frac_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3662895Z test_meta_frac_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3663019Z test_meta_frexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3663142Z test_meta_frexp_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3663261Z test_meta_frexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3663381Z test_meta_frexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3663497Z test_meta_full_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3663620Z test_meta_full_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3663753Z test_meta_full_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3663913Z test_meta_full_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3664038Z test_meta_full_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3664163Z test_meta_full_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3664287Z test_meta_full_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3664414Z test_meta_full_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3664526Z test_meta_full_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3664676Z test_meta_full_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3664800Z test_meta_full_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3664923Z test_meta_full_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3665048Z test_meta_gather_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3665172Z test_meta_gather_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3665299Z test_meta_gather_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3665430Z test_meta_gather_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3665540Z test_meta_gather_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3665660Z test_meta_gather_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3665777Z test_meta_gather_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3665901Z test_meta_gather_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3666022Z test_meta_gather_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3666139Z test_meta_gather_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3666258Z test_meta_gather_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3666378Z test_meta_gather_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3666483Z test_meta_gcd_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3666602Z test_meta_gcd_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3666719Z test_meta_gcd_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3666839Z test_meta_gcd_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3666956Z test_meta_gcd_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3667077Z test_meta_ge_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3667195Z test_meta_ge_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3667313Z test_meta_ge_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3667418Z test_meta_ge_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3667535Z test_meta_ge_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3667656Z test_meta_ge_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3667774Z test_meta_ge_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3667890Z test_meta_ge_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3668007Z test_meta_ge_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3668123Z test_meta_ge_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3668239Z test_meta_geqrf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.3668366Z test_meta_geqrf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.126s) 2022-12-01T10:23:49.3668491Z test_meta_geqrf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.124s) 2022-12-01T10:23:49.3668612Z test_meta_geqrf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.124s) 2022-12-01T10:23:49.3668740Z test_meta_gradient_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3668901Z test_meta_gradient_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3669032Z test_meta_gradient_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3669159Z test_meta_gradient_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3669275Z test_meta_gradient_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3669400Z test_meta_gradient_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3669526Z test_meta_gradient_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3669646Z test_meta_gradient_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3669802Z test_meta_gradient_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3669927Z test_meta_gradient_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3670048Z test_meta_gt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3670165Z test_meta_gt_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3670274Z test_meta_gt_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3670392Z test_meta_gt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3670508Z test_meta_gt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3670626Z test_meta_gt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3670742Z test_meta_gt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3670856Z test_meta_gt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3670973Z test_meta_gt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3671088Z test_meta_gt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3671202Z test_meta_half_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3671320Z test_meta_half_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3671447Z test_meta_half_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3671576Z test_meta_half_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3671696Z test_meta_half_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3671815Z test_meta_half_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3671932Z test_meta_half_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3672037Z test_meta_half_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3672154Z test_meta_half_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3672271Z test_meta_half_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3672392Z test_meta_half_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3672507Z test_meta_half_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3672638Z test_meta_heaviside_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3672771Z test_meta_heaviside_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3672901Z test_meta_heaviside_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3673018Z test_meta_heaviside_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3673144Z test_meta_heaviside_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3673272Z test_meta_heaviside_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3673396Z test_meta_heaviside_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3673522Z test_meta_heaviside_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3673649Z test_meta_heaviside_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3673774Z test_meta_heaviside_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3673898Z test_meta_histc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.701s) 2022-12-01T10:23:49.3674039Z test_meta_histc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.703s) 2022-12-01T10:23:49.3674160Z test_meta_histc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.703s) 2022-12-01T10:23:49.3674287Z test_meta_histogram_cpu_float32 (__main__.TestMetaCPU) ... ok (0.636s) 2022-12-01T10:23:49.3674411Z test_meta_histogram_cpu_float64 (__main__.TestMetaCPU) ... ok (0.636s) 2022-12-01T10:23:49.3674544Z test_meta_histogramdd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.459s) 2022-12-01T10:23:49.3674677Z test_meta_histogramdd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.572s) 2022-12-01T10:23:49.3674805Z test_meta_hsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3674950Z test_meta_hsplit_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3675066Z test_meta_hsplit_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3675194Z test_meta_hsplit_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3675320Z test_meta_hsplit_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3675447Z test_meta_hsplit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3675569Z test_meta_hsplit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3675688Z test_meta_hsplit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3675810Z test_meta_hsplit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3675928Z test_meta_hsplit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3676031Z test_meta_hsplit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3676153Z test_meta_hsplit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3676271Z test_meta_hsplit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3676397Z test_meta_hstack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3676517Z test_meta_hstack_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3676647Z test_meta_hstack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3676777Z test_meta_hstack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3676892Z test_meta_hstack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677018Z test_meta_hstack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677138Z test_meta_hstack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677262Z test_meta_hstack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677383Z test_meta_hstack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677503Z test_meta_hstack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677621Z test_meta_hstack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677740Z test_meta_hstack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677846Z test_meta_hstack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3677967Z test_meta_hypot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3678090Z test_meta_hypot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3678210Z test_meta_hypot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3678328Z test_meta_i0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3678443Z test_meta_i0_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3678559Z test_meta_i0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3678679Z test_meta_i0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3678782Z test_meta_i0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3678901Z test_meta_i0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3679015Z test_meta_i0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3679160Z test_meta_i0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3679275Z test_meta_i0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3679403Z test_meta_igamma_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3679528Z test_meta_igamma_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3679650Z test_meta_igamma_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3679756Z test_meta_igamma_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3679883Z test_meta_igammac_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3680037Z test_meta_igammac_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3680164Z test_meta_igammac_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3680289Z test_meta_igammac_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3680414Z test_meta_imag_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3680545Z test_meta_imag_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3680668Z test_meta_imag_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3680787Z test_meta_index_add_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3680909Z test_meta_index_add_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3681042Z test_meta_index_add_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3681175Z test_meta_index_add_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3681307Z test_meta_index_add_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3681434Z test_meta_index_add_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3681562Z test_meta_index_add_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3681675Z test_meta_index_add_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3681801Z test_meta_index_add_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3681926Z test_meta_index_add_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3682051Z test_meta_index_add_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3682174Z test_meta_index_add_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3682298Z test_meta_index_add_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3682429Z test_meta_index_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3682556Z test_meta_index_copy_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3682678Z test_meta_index_copy_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3682809Z test_meta_index_copy_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3682937Z test_meta_index_copy_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683068Z test_meta_index_copy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683195Z test_meta_index_copy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683322Z test_meta_index_copy_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683447Z test_meta_index_copy_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683572Z test_meta_index_copy_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683684Z test_meta_index_copy_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683812Z test_meta_index_copy_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3683941Z test_meta_index_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3684065Z test_meta_index_fill_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3684202Z test_meta_index_fill_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3684366Z test_meta_index_fill_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3684494Z test_meta_index_fill_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3684620Z test_meta_index_fill_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3684735Z test_meta_index_fill_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3684859Z test_meta_index_fill_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3684985Z test_meta_index_fill_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3685136Z test_meta_index_fill_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3685263Z test_meta_index_fill_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3685385Z test_meta_index_fill_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3685514Z test_meta_index_put_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3685641Z test_meta_index_put_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3685759Z test_meta_index_put_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3685889Z test_meta_index_put_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686019Z test_meta_index_put_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686147Z test_meta_index_put_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686273Z test_meta_index_put_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686399Z test_meta_index_put_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686524Z test_meta_index_put_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686646Z test_meta_index_put_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686759Z test_meta_index_put_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3686886Z test_meta_index_put_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3687140Z test_meta_index_put_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3687277Z test_meta_index_reduce_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3687408Z test_meta_index_reduce_cpu_float16 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3687542Z test_meta_index_reduce_cpu_float32 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3687672Z test_meta_index_reduce_cpu_float64 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3687802Z test_meta_index_reduce_cpu_int16 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3687917Z test_meta_index_reduce_cpu_int32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3688046Z test_meta_index_reduce_cpu_int64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3688177Z test_meta_index_reduce_cpu_int8 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3688307Z test_meta_index_reduce_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3688442Z test_meta_index_select_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3688569Z test_meta_index_select_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3688707Z test_meta_index_select_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3688844Z test_meta_index_select_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3688965Z test_meta_index_select_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3689096Z test_meta_index_select_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3689226Z test_meta_index_select_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3689354Z test_meta_index_select_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3689483Z test_meta_index_select_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3689663Z test_meta_index_select_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3689789Z test_meta_index_select_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3689918Z test_meta_index_select_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3690031Z test_meta_index_select_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3690157Z test_meta_inner_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3690288Z test_meta_inner_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3690450Z test_meta_inner_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3690576Z test_meta_inner_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3690698Z test_meta_inner_cpu_float64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3690818Z test_meta_inner_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3690935Z test_meta_inner_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3691039Z test_meta_inner_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3691159Z test_meta_inner_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3691393Z test_meta_inner_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3691518Z test_meta_int_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3691635Z test_meta_int_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3691762Z test_meta_int_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3691891Z test_meta_int_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3691999Z test_meta_int_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692114Z test_meta_int_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692230Z test_meta_int_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692349Z test_meta_int_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692468Z test_meta_int_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692584Z test_meta_int_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692702Z test_meta_int_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692819Z test_meta_int_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3692936Z test_meta_isclose_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3693064Z test_meta_isclose_cpu_bool (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3693193Z test_meta_isclose_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3693324Z test_meta_isclose_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3693452Z test_meta_isclose_cpu_float16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3693579Z test_meta_isclose_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3693705Z test_meta_isclose_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3693829Z test_meta_isclose_cpu_int16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3693937Z test_meta_isclose_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3694055Z test_meta_isclose_cpu_int64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3694177Z test_meta_isclose_cpu_int8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3694294Z test_meta_isclose_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3694421Z test_meta_isfinite_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3694545Z test_meta_isfinite_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3694677Z test_meta_isfinite_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3694841Z test_meta_isfinite_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3694959Z test_meta_isfinite_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3695084Z test_meta_isfinite_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3695213Z test_meta_isfinite_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3695339Z test_meta_isfinite_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3695465Z test_meta_isfinite_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3695585Z test_meta_isfinite_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3695732Z test_meta_isfinite_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3695857Z test_meta_isfinite_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3695964Z test_meta_isfinite_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3696087Z test_meta_isin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3696207Z test_meta_isin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3696326Z test_meta_isin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3696445Z test_meta_isin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3696562Z test_meta_isin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3696679Z test_meta_isin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3696783Z test_meta_isin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3696909Z test_meta_isinf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3697025Z test_meta_isinf_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3697150Z test_meta_isinf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3697277Z test_meta_isinf_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3697406Z test_meta_isinf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3697531Z test_meta_isinf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3697651Z test_meta_isinf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3697758Z test_meta_isinf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3697878Z test_meta_isinf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3697995Z test_meta_isinf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3698110Z test_meta_isinf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3698232Z test_meta_isinf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3698350Z test_meta_isinf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3698476Z test_meta_isnan_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3698594Z test_meta_isnan_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3698711Z test_meta_isnan_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3698835Z test_meta_isnan_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3698958Z test_meta_isnan_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699076Z test_meta_isnan_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699194Z test_meta_isnan_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699313Z test_meta_isnan_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699430Z test_meta_isnan_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699543Z test_meta_isnan_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699648Z test_meta_isnan_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699768Z test_meta_isnan_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3699924Z test_meta_isneginf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700044Z test_meta_isneginf_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700170Z test_meta_isneginf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700294Z test_meta_isneginf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700422Z test_meta_isneginf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700532Z test_meta_isneginf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700651Z test_meta_isneginf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700795Z test_meta_isneginf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3700920Z test_meta_isneginf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701040Z test_meta_isneginf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701169Z test_meta_isposinf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701294Z test_meta_isposinf_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701418Z test_meta_isposinf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701530Z test_meta_isposinf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701655Z test_meta_isposinf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701775Z test_meta_isposinf_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3701891Z test_meta_isposinf_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702012Z test_meta_isposinf_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702134Z test_meta_isposinf_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702255Z test_meta_isposinf_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702380Z test_meta_isreal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702489Z test_meta_isreal_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702617Z test_meta_isreal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702742Z test_meta_isreal_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702867Z test_meta_isreal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3702986Z test_meta_isreal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703103Z test_meta_isreal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703222Z test_meta_isreal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703343Z test_meta_isreal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703449Z test_meta_isreal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703567Z test_meta_isreal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703688Z test_meta_isreal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703805Z test_meta_isreal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3703935Z test_meta_istft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.058s) 2022-12-01T10:23:49.3704063Z test_meta_istft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.058s) 2022-12-01T10:23:49.3704186Z test_meta_istft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.057s) 2022-12-01T10:23:49.3704307Z test_meta_istft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.058s) 2022-12-01T10:23:49.3704476Z test_meta_jiterator_2inputs_2outputs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3704650Z test_meta_jiterator_2inputs_2outputs_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3704828Z test_meta_jiterator_2inputs_2outputs_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3705050Z test_meta_jiterator_2inputs_2outputs_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3705220Z test_meta_jiterator_2inputs_2outputs_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3705390Z test_meta_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3705562Z test_meta_jiterator_2inputs_2outputs_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3705727Z test_meta_jiterator_2inputs_2outputs_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3705929Z test_meta_jiterator_2inputs_2outputs_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3706080Z test_meta_jiterator_2inputs_2outputs_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3706246Z test_meta_jiterator_2inputs_2outputs_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3706407Z test_meta_jiterator_2inputs_2outputs_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3706587Z test_meta_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3706765Z test_meta_jiterator_4inputs_with_extra_args_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3706944Z test_meta_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3707122Z test_meta_jiterator_4inputs_with_extra_args_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3707300Z test_meta_jiterator_4inputs_with_extra_args_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3707471Z test_meta_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3707628Z test_meta_jiterator_4inputs_with_extra_args_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3707801Z test_meta_jiterator_4inputs_with_extra_args_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3707968Z test_meta_jiterator_4inputs_with_extra_args_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3708133Z test_meta_jiterator_4inputs_with_extra_args_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3708305Z test_meta_jiterator_4inputs_with_extra_args_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3708470Z test_meta_jiterator_4inputs_with_extra_args_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3708631Z test_meta_jiterator_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3708789Z test_meta_jiterator_binary_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3708952Z test_meta_jiterator_binary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3709113Z test_meta_jiterator_binary_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3709260Z test_meta_jiterator_binary_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3709415Z test_meta_jiterator_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3709570Z test_meta_jiterator_binary_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3709724Z test_meta_jiterator_binary_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3709875Z test_meta_jiterator_binary_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3710058Z test_meta_jiterator_binary_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3710210Z test_meta_jiterator_binary_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3710366Z test_meta_jiterator_binary_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3710524Z test_meta_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3710718Z test_meta_jiterator_binary_return_by_ref_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3710897Z test_meta_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3711072Z test_meta_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3711243Z test_meta_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3711407Z test_meta_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3711569Z test_meta_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3711737Z test_meta_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3711910Z test_meta_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3712079Z test_meta_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3712236Z test_meta_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3712403Z test_meta_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3712563Z test_meta_jiterator_unary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3712716Z test_meta_jiterator_unary_cpu_bool (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3712880Z test_meta_jiterator_unary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3713042Z test_meta_jiterator_unary_cpu_complex64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3713201Z test_meta_jiterator_unary_cpu_float16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3713353Z test_meta_jiterator_unary_cpu_float32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3713505Z test_meta_jiterator_unary_cpu_float64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3713649Z test_meta_jiterator_unary_cpu_int16 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3713804Z test_meta_jiterator_unary_cpu_int32 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3713958Z test_meta_jiterator_unary_cpu_int64 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3714111Z test_meta_jiterator_unary_cpu_int8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3714263Z test_meta_jiterator_unary_cpu_uint8 (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:23:49.3714390Z test_meta_kron_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3714510Z test_meta_kron_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3714639Z test_meta_kron_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3714753Z test_meta_kron_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3714900Z test_meta_kron_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715018Z test_meta_kron_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715132Z test_meta_kron_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715249Z test_meta_kron_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715367Z test_meta_kron_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715484Z test_meta_kron_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715602Z test_meta_kron_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715728Z test_meta_kron_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3715862Z test_meta_kthvalue_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3715990Z test_meta_kthvalue_cpu_float32 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3716120Z test_meta_kthvalue_cpu_float64 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3716244Z test_meta_kthvalue_cpu_int16 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3716364Z test_meta_kthvalue_cpu_int32 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3716483Z test_meta_kthvalue_cpu_int64 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3716606Z test_meta_kthvalue_cpu_int8 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3716712Z test_meta_kthvalue_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3716829Z test_meta_lcm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3716949Z test_meta_lcm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3717065Z test_meta_lcm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3717185Z test_meta_lcm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3717300Z test_meta_lcm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3717428Z test_meta_ldexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3717534Z test_meta_ldexp_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3717663Z test_meta_ldexp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3717791Z test_meta_ldexp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3717914Z test_meta_ldexp_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3718034Z test_meta_ldexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3718152Z test_meta_ldexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3718274Z test_meta_ldexp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3718392Z test_meta_ldexp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3718495Z test_meta_ldexp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3718612Z test_meta_ldexp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3718734Z test_meta_ldexp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3718851Z test_meta_le_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3718969Z test_meta_le_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3719086Z test_meta_le_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3719203Z test_meta_le_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3719320Z test_meta_le_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3719424Z test_meta_le_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3719541Z test_meta_le_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3719657Z test_meta_le_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3719773Z test_meta_le_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3719915Z test_meta_le_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3720041Z test_meta_lerp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3720168Z test_meta_lerp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3720282Z test_meta_lerp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3720403Z test_meta_lerp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3720523Z test_meta_lerp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3720652Z test_meta_lgamma_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3720796Z test_meta_lgamma_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3720922Z test_meta_lgamma_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3721046Z test_meta_lgamma_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3721172Z test_meta_lgamma_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3721281Z test_meta_lgamma_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3721399Z test_meta_lgamma_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3721517Z test_meta_lgamma_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3721633Z test_meta_lgamma_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3721773Z test_meta_linalg_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3721917Z test_meta_linalg_cholesky_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3722055Z test_meta_linalg_cholesky_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3722191Z test_meta_linalg_cholesky_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3722323Z test_meta_linalg_cholesky_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3722463Z test_meta_linalg_cholesky_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3722602Z test_meta_linalg_cholesky_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3722740Z test_meta_linalg_cholesky_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3722875Z test_meta_linalg_cond_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3723009Z test_meta_linalg_cond_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3723138Z test_meta_linalg_cond_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3723267Z test_meta_linalg_cond_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3723388Z test_meta_linalg_cross_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3723524Z test_meta_linalg_cross_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3723660Z test_meta_linalg_cross_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3723795Z test_meta_linalg_cross_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3723926Z test_meta_linalg_cross_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3724055Z test_meta_linalg_cross_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3724182Z test_meta_linalg_cross_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3724310Z test_meta_linalg_cross_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3724426Z test_meta_linalg_cross_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3724553Z test_meta_linalg_cross_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3724688Z test_meta_linalg_det_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3724819Z test_meta_linalg_det_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3724944Z test_meta_linalg_det_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3725105Z test_meta_linalg_det_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3725250Z test_meta_linalg_det_singular_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3725394Z test_meta_linalg_det_singular_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3725520Z test_meta_linalg_det_singular_cpu_float32 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3725656Z test_meta_linalg_det_singular_cpu_float64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3725789Z test_meta_linalg_eig_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3725944Z test_meta_linalg_eig_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3726075Z test_meta_linalg_eig_cpu_float32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3726201Z test_meta_linalg_eig_cpu_float64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3726337Z test_meta_linalg_eigh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3726473Z test_meta_linalg_eigh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3726591Z test_meta_linalg_eigh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3726723Z test_meta_linalg_eigh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3726862Z test_meta_linalg_eigvals_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.098s) 2022-12-01T10:23:49.3727119Z test_meta_linalg_eigvals_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.098s) 2022-12-01T10:23:49.3727255Z test_meta_linalg_eigvals_cpu_float32 (__main__.TestMetaCPU) ... ok (0.098s) 2022-12-01T10:23:49.3727389Z test_meta_linalg_eigvals_cpu_float64 (__main__.TestMetaCPU) ... ok (0.098s) 2022-12-01T10:23:49.3727530Z test_meta_linalg_eigvalsh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3727673Z test_meta_linalg_eigvalsh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3727813Z test_meta_linalg_eigvalsh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3727937Z test_meta_linalg_eigvalsh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3728092Z test_meta_linalg_householder_product_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.060s) 2022-12-01T10:23:49.3728246Z test_meta_linalg_householder_product_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.3728394Z test_meta_linalg_householder_product_cpu_float32 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.3728544Z test_meta_linalg_householder_product_cpu_float64 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.3728679Z test_meta_linalg_inv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3728810Z test_meta_linalg_inv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3728939Z test_meta_linalg_inv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3729057Z test_meta_linalg_inv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3729194Z test_meta_linalg_inv_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3729330Z test_meta_linalg_inv_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3729459Z test_meta_linalg_inv_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3729593Z test_meta_linalg_inv_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3729734Z test_meta_linalg_ldl_factor_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3729880Z test_meta_linalg_ldl_factor_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3730016Z test_meta_linalg_ldl_factor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3730142Z test_meta_linalg_ldl_factor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3730285Z test_meta_linalg_ldl_factor_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3730482Z test_meta_linalg_ldl_factor_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3730626Z test_meta_linalg_ldl_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3730765Z test_meta_linalg_ldl_factor_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3730905Z test_meta_linalg_ldl_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3731045Z test_meta_linalg_ldl_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3731180Z test_meta_linalg_ldl_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3731418Z test_meta_linalg_ldl_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3731556Z test_meta_linalg_lstsq_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.171s) 2022-12-01T10:23:49.3731692Z test_meta_linalg_lstsq_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.171s) 2022-12-01T10:23:49.3731824Z test_meta_linalg_lstsq_cpu_float32 (__main__.TestMetaCPU) ... ok (0.169s) 2022-12-01T10:23:49.3731957Z test_meta_linalg_lstsq_cpu_float64 (__main__.TestMetaCPU) ... ok (0.169s) 2022-12-01T10:23:49.3732111Z test_meta_linalg_lstsq_grad_oriented_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.172s) 2022-12-01T10:23:49.3732262Z test_meta_linalg_lstsq_grad_oriented_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.172s) 2022-12-01T10:23:49.3732410Z test_meta_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestMetaCPU) ... ok (0.170s) 2022-12-01T10:23:49.3732542Z test_meta_linalg_lstsq_grad_oriented_cpu_float64 (__main__.TestMetaCPU) ... ok (0.169s) 2022-12-01T10:23:49.3732676Z test_meta_linalg_lu_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3732812Z test_meta_linalg_lu_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3732941Z test_meta_linalg_lu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3733073Z test_meta_linalg_lu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3733214Z test_meta_linalg_lu_factor_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3733353Z test_meta_linalg_lu_factor_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3733486Z test_meta_linalg_lu_factor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3733608Z test_meta_linalg_lu_factor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3733753Z test_meta_linalg_lu_factor_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3733897Z test_meta_linalg_lu_factor_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3734034Z test_meta_linalg_lu_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3734167Z test_meta_linalg_lu_factor_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3734307Z test_meta_linalg_lu_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3734443Z test_meta_linalg_lu_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3734576Z test_meta_linalg_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.094s) 2022-12-01T10:23:49.3734711Z test_meta_linalg_lu_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.094s) 2022-12-01T10:23:49.3734832Z test_meta_linalg_matrix_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3734971Z test_meta_linalg_matrix_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3735113Z test_meta_linalg_matrix_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3735248Z test_meta_linalg_matrix_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3735384Z test_meta_linalg_matrix_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3735520Z test_meta_linalg_matrix_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3735697Z test_meta_linalg_matrix_power_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3735840Z test_meta_linalg_matrix_power_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3735967Z test_meta_linalg_matrix_power_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3736100Z test_meta_linalg_matrix_power_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3736239Z test_meta_linalg_matrix_rank_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3736406Z test_meta_linalg_matrix_rank_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3736543Z test_meta_linalg_matrix_rank_cpu_float32 (__main__.TestMetaCPU) ... ok (0.074s) 2022-12-01T10:23:49.3736676Z test_meta_linalg_matrix_rank_cpu_float64 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.3736832Z test_meta_linalg_matrix_rank_hermitian_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3736988Z test_meta_linalg_matrix_rank_hermitian_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3737125Z test_meta_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3737274Z test_meta_linalg_matrix_rank_hermitian_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3737410Z test_meta_linalg_multi_dot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3737550Z test_meta_linalg_multi_dot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3737688Z test_meta_linalg_multi_dot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3737822Z test_meta_linalg_multi_dot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3737959Z test_meta_linalg_multi_dot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3738091Z test_meta_linalg_multi_dot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3738212Z test_meta_linalg_multi_dot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3738342Z test_meta_linalg_multi_dot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3738474Z test_meta_linalg_multi_dot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3738603Z test_meta_linalg_multi_dot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3738733Z test_meta_linalg_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.045s) 2022-12-01T10:23:49.3738861Z test_meta_linalg_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.065s) 2022-12-01T10:23:49.3738994Z test_meta_linalg_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.064s) 2022-12-01T10:23:49.3739124Z test_meta_linalg_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.045s) 2022-12-01T10:23:49.3739242Z test_meta_linalg_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.062s) 2022-12-01T10:23:49.3739368Z test_meta_linalg_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.062s) 2022-12-01T10:23:49.3739529Z test_meta_linalg_norm_subgradients_at_zero_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3739694Z test_meta_linalg_norm_subgradients_at_zero_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.3739851Z test_meta_linalg_norm_subgradients_at_zero_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.3740005Z test_meta_linalg_norm_subgradients_at_zero_cpu_float16 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3740160Z test_meta_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3740315Z test_meta_linalg_norm_subgradients_at_zero_cpu_float64 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3740450Z test_meta_linalg_pinv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3740572Z test_meta_linalg_pinv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.028s) 2022-12-01T10:23:49.3740733Z test_meta_linalg_pinv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3740862Z test_meta_linalg_pinv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3741010Z test_meta_linalg_pinv_hermitian_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3741156Z test_meta_linalg_pinv_hermitian_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3741300Z test_meta_linalg_pinv_hermitian_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3741440Z test_meta_linalg_pinv_hermitian_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3741699Z test_meta_linalg_pinv_singular_cpu_complex128 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.3741898Z test_meta_linalg_pinv_singular_cpu_complex64 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.3742105Z test_meta_linalg_pinv_singular_cpu_float32 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.3742299Z test_meta_linalg_pinv_singular_cpu_float64 (__main__.TestMetaCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:23:49.3742432Z test_meta_linalg_qr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3742563Z test_meta_linalg_qr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3742689Z test_meta_linalg_qr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3742817Z test_meta_linalg_qr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3742957Z test_meta_linalg_slogdet_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3743096Z test_meta_linalg_slogdet_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3743218Z test_meta_linalg_slogdet_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3743351Z test_meta_linalg_slogdet_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3743485Z test_meta_linalg_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3743618Z test_meta_linalg_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3743748Z test_meta_linalg_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3743876Z test_meta_linalg_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3744016Z test_meta_linalg_solve_ex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3744152Z test_meta_linalg_solve_ex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3744273Z test_meta_linalg_solve_ex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3744407Z test_meta_linalg_solve_ex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3744558Z test_meta_linalg_solve_triangular_cpu_complex128 (__main__.TestMetaCPU) ... ok (1.110s) 2022-12-01T10:23:49.3744708Z test_meta_linalg_solve_triangular_cpu_complex64 (__main__.TestMetaCPU) ... ok (1.110s) 2022-12-01T10:23:49.3744854Z test_meta_linalg_solve_triangular_cpu_float32 (__main__.TestMetaCPU) ... ok (1.101s) 2022-12-01T10:23:49.3744999Z test_meta_linalg_solve_triangular_cpu_float64 (__main__.TestMetaCPU) ... ok (1.101s) 2022-12-01T10:23:49.3745134Z test_meta_linalg_svd_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.045s) 2022-12-01T10:23:49.3745266Z test_meta_linalg_svd_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.045s) 2022-12-01T10:23:49.3745383Z test_meta_linalg_svd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.105s) 2022-12-01T10:23:49.3745510Z test_meta_linalg_svd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.104s) 2022-12-01T10:23:49.3745650Z test_meta_linalg_svdvals_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3745816Z test_meta_linalg_svdvals_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.026s) 2022-12-01T10:23:49.3745949Z test_meta_linalg_svdvals_cpu_float32 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3746081Z test_meta_linalg_svdvals_cpu_float64 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3746223Z test_meta_linalg_tensorinv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3746363Z test_meta_linalg_tensorinv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3746498Z test_meta_linalg_tensorinv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3746646Z test_meta_linalg_tensorinv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3746792Z test_meta_linalg_tensorsolve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3746934Z test_meta_linalg_tensorsolve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3747073Z test_meta_linalg_tensorsolve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3747212Z test_meta_linalg_tensorsolve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3747347Z test_meta_linalg_vander_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3747484Z test_meta_linalg_vander_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3747617Z test_meta_linalg_vander_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3747737Z test_meta_linalg_vander_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3747871Z test_meta_linalg_vander_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3748001Z test_meta_linalg_vander_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3748128Z test_meta_linalg_vander_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3748257Z test_meta_linalg_vander_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3748391Z test_meta_linalg_vander_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3748524Z test_meta_linalg_vecdot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3748659Z test_meta_linalg_vecdot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3748780Z test_meta_linalg_vecdot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3748913Z test_meta_linalg_vecdot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3749046Z test_meta_linalg_vecdot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3749186Z test_meta_linalg_vector_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.097s) 2022-12-01T10:23:49.3749329Z test_meta_linalg_vector_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.100s) 2022-12-01T10:23:49.3749469Z test_meta_linalg_vector_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.099s) 2022-12-01T10:23:49.3749609Z test_meta_linalg_vector_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.097s) 2022-12-01T10:23:49.3749744Z test_meta_linalg_vector_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.097s) 2022-12-01T10:23:49.3749867Z test_meta_linalg_vector_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.097s) 2022-12-01T10:23:49.3749996Z test_meta_linspace_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3750129Z test_meta_linspace_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3750260Z test_meta_linspace_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3750390Z test_meta_linspace_cpu_float16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3750517Z test_meta_linspace_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3750643Z test_meta_linspace_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3750773Z test_meta_linspace_cpu_int16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3750908Z test_meta_linspace_cpu_int32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3751029Z test_meta_linspace_cpu_int64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3751153Z test_meta_linspace_cpu_int8 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3751275Z test_meta_linspace_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3751392Z test_meta_log10_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3751514Z test_meta_log10_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3751642Z test_meta_log10_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3751797Z test_meta_log10_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3751909Z test_meta_log10_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3752031Z test_meta_log10_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3752151Z test_meta_log10_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3752267Z test_meta_log10_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3752381Z test_meta_log10_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3752499Z test_meta_log10_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3752620Z test_meta_log10_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3752730Z test_meta_log1p_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3752849Z test_meta_log1p_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3752974Z test_meta_log1p_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3753098Z test_meta_log1p_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3753219Z test_meta_log1p_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3753334Z test_meta_log1p_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3753452Z test_meta_log1p_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3753572Z test_meta_log1p_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3753679Z test_meta_log1p_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3753804Z test_meta_log2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3753923Z test_meta_log2_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754049Z test_meta_log2_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754173Z test_meta_log2_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754297Z test_meta_log2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754423Z test_meta_log2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754541Z test_meta_log2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754658Z test_meta_log2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754764Z test_meta_log2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754881Z test_meta_log2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3754999Z test_meta_log2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755121Z test_meta_log_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755238Z test_meta_log_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755363Z test_meta_log_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755488Z test_meta_log_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755599Z test_meta_log_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755716Z test_meta_log_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755833Z test_meta_log_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3755976Z test_meta_log_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3756093Z test_meta_log_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3756209Z test_meta_log_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3756327Z test_meta_log_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3756457Z test_meta_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3756574Z test_meta_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3756703Z test_meta_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3756867Z test_meta_log_softmax_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757004Z test_meta_log_softmax_dtype_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757148Z test_meta_log_softmax_dtype_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757292Z test_meta_log_softmax_dtype_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757429Z test_meta_log_softmax_dtype_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757568Z test_meta_log_softmax_dtype_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757693Z test_meta_log_softmax_dtype_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757828Z test_meta_log_softmax_dtype_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3757962Z test_meta_log_softmax_dtype_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3758098Z test_meta_log_softmax_dtype_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3758232Z test_meta_log_softmax_dtype_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3758365Z test_meta_log_softmax_dtype_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3758497Z test_meta_log_softmax_dtype_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3758629Z test_meta_logaddexp2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3758747Z test_meta_logaddexp2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3758878Z test_meta_logaddexp2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3759006Z test_meta_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3759137Z test_meta_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3759266Z test_meta_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3759405Z test_meta_logcumsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3759538Z test_meta_logcumsumexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3759670Z test_meta_logcumsumexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3759787Z test_meta_logdet_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3759916Z test_meta_logdet_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3760042Z test_meta_logdet_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3760164Z test_meta_logdet_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3760295Z test_meta_logical_and_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3760422Z test_meta_logical_and_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3760557Z test_meta_logical_and_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3760693Z test_meta_logical_and_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3760811Z test_meta_logical_and_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3760939Z test_meta_logical_and_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3761093Z test_meta_logical_and_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3761220Z test_meta_logical_and_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3761346Z test_meta_logical_and_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3761472Z test_meta_logical_and_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3761600Z test_meta_logical_and_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3761725Z test_meta_logical_and_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3761844Z test_meta_logical_not_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3761994Z test_meta_logical_not_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3762131Z test_meta_logical_not_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3762265Z test_meta_logical_not_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3762396Z test_meta_logical_not_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3762523Z test_meta_logical_not_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3762650Z test_meta_logical_not_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3762777Z test_meta_logical_not_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3762891Z test_meta_logical_not_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3763016Z test_meta_logical_not_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3763142Z test_meta_logical_not_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3763270Z test_meta_logical_not_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3763400Z test_meta_logical_or_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3763528Z test_meta_logical_or_cpu_bool (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3763662Z test_meta_logical_or_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3763795Z test_meta_logical_or_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3763909Z test_meta_logical_or_cpu_float16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3764038Z test_meta_logical_or_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3764164Z test_meta_logical_or_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3764289Z test_meta_logical_or_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3764417Z test_meta_logical_or_cpu_int32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3764544Z test_meta_logical_or_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3764669Z test_meta_logical_or_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3764793Z test_meta_logical_or_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3764914Z test_meta_logical_xor_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3765040Z test_meta_logical_xor_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3765176Z test_meta_logical_xor_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3765310Z test_meta_logical_xor_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3765440Z test_meta_logical_xor_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3765569Z test_meta_logical_xor_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3765697Z test_meta_logical_xor_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3765829Z test_meta_logical_xor_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3765941Z test_meta_logical_xor_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3766067Z test_meta_logical_xor_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3766221Z test_meta_logical_xor_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3766347Z test_meta_logical_xor_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3766471Z test_meta_logit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3766591Z test_meta_logit_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3766714Z test_meta_logit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3766836Z test_meta_logit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3767139Z test_meta_logit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3767306Z test_meta_logit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3767424Z test_meta_logit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3767549Z test_meta_logit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3767671Z test_meta_logit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3767803Z test_meta_logspace_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.119s) 2022-12-01T10:23:49.3767938Z test_meta_logspace_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.119s) 2022-12-01T10:23:49.3768058Z test_meta_logspace_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.120s) 2022-12-01T10:23:49.3768185Z test_meta_logspace_cpu_float32 (__main__.TestMetaCPU) ... ok (0.120s) 2022-12-01T10:23:49.3768313Z test_meta_logspace_cpu_float64 (__main__.TestMetaCPU) ... ok (0.118s) 2022-12-01T10:23:49.3768438Z test_meta_logspace_cpu_int16 (__main__.TestMetaCPU) ... ok (0.112s) 2022-12-01T10:23:49.3768561Z test_meta_logspace_cpu_int32 (__main__.TestMetaCPU) ... ok (0.111s) 2022-12-01T10:23:49.3768682Z test_meta_logspace_cpu_int64 (__main__.TestMetaCPU) ... ok (0.111s) 2022-12-01T10:23:49.3768809Z test_meta_logspace_cpu_int8 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3768932Z test_meta_logspace_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.037s) 2022-12-01T10:23:49.3769051Z test_meta_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3769178Z test_meta_logsumexp_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3769307Z test_meta_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3769435Z test_meta_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3769564Z test_meta_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3769691Z test_meta_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3769819Z test_meta_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3769949Z test_meta_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3770062Z test_meta_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3770188Z test_meta_long_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3770311Z test_meta_long_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3770436Z test_meta_long_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3770561Z test_meta_long_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3770682Z test_meta_long_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3770803Z test_meta_long_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3770922Z test_meta_long_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3771025Z test_meta_long_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3771147Z test_meta_long_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3771368Z test_meta_long_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3771489Z test_meta_long_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3771611Z test_meta_long_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3771775Z test_meta_long_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3771898Z test_meta_lt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3772016Z test_meta_lt_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3772121Z test_meta_lt_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3772241Z test_meta_lt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3778174Z test_meta_lt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3778324Z test_meta_lt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3778512Z test_meta_lt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3778633Z test_meta_lt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3778756Z test_meta_lt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3778860Z test_meta_lt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3778993Z test_meta_lu_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3779118Z test_meta_lu_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3779240Z test_meta_lu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3779359Z test_meta_lu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3779491Z test_meta_lu_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3779624Z test_meta_lu_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3779741Z test_meta_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3779867Z test_meta_lu_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3780000Z test_meta_lu_unpack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3780132Z test_meta_lu_unpack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3780263Z test_meta_lu_unpack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3780390Z test_meta_lu_unpack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3780510Z test_meta_mH_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3780627Z test_meta_mH_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3780738Z test_meta_mH_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3780858Z test_meta_mH_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3780977Z test_meta_mH_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781098Z test_meta_mH_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781217Z test_meta_mH_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781334Z test_meta_mH_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781454Z test_meta_mH_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781570Z test_meta_mH_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781674Z test_meta_mH_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781791Z test_meta_mH_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3781905Z test_meta_mH_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3782027Z test_meta_mT_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3782145Z test_meta_mT_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3782268Z test_meta_mT_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3782395Z test_meta_mT_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3782512Z test_meta_mT_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3782618Z test_meta_mT_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3782772Z test_meta_mT_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3782888Z test_meta_mT_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3783001Z test_meta_mT_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3783116Z test_meta_mT_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3783229Z test_meta_mT_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3783345Z test_meta_mT_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3783446Z test_meta_mT_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3783622Z test_meta_masked_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.324s) 2022-12-01T10:23:49.3783756Z test_meta_masked_amax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.323s) 2022-12-01T10:23:49.3783890Z test_meta_masked_amax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.324s) 2022-12-01T10:23:49.3784020Z test_meta_masked_amax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.323s) 2022-12-01T10:23:49.3784151Z test_meta_masked_amax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3784279Z test_meta_masked_amax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3784408Z test_meta_masked_amax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3784523Z test_meta_masked_amax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3784649Z test_meta_masked_amax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3784779Z test_meta_masked_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.323s) 2022-12-01T10:23:49.3784909Z test_meta_masked_amin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.322s) 2022-12-01T10:23:49.3785038Z test_meta_masked_amin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.322s) 2022-12-01T10:23:49.3785162Z test_meta_masked_amin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.323s) 2022-12-01T10:23:49.3785287Z test_meta_masked_amin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3785415Z test_meta_masked_amin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3785529Z test_meta_masked_amin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3785658Z test_meta_masked_amin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.279s) 2022-12-01T10:23:49.3785785Z test_meta_masked_amin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.278s) 2022-12-01T10:23:49.3785924Z test_meta_masked_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.185s) 2022-12-01T10:23:49.3786058Z test_meta_masked_argmax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.186s) 2022-12-01T10:23:49.3786193Z test_meta_masked_argmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.185s) 2022-12-01T10:23:49.3786325Z test_meta_masked_argmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.185s) 2022-12-01T10:23:49.3786455Z test_meta_masked_argmax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.160s) 2022-12-01T10:23:49.3786571Z test_meta_masked_argmax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.160s) 2022-12-01T10:23:49.3786697Z test_meta_masked_argmax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.159s) 2022-12-01T10:23:49.3786828Z test_meta_masked_argmax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.161s) 2022-12-01T10:23:49.3786957Z test_meta_masked_argmax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.161s) 2022-12-01T10:23:49.3787090Z test_meta_masked_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.185s) 2022-12-01T10:23:49.3787224Z test_meta_masked_argmin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.186s) 2022-12-01T10:23:49.3787356Z test_meta_masked_argmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.185s) 2022-12-01T10:23:49.3787488Z test_meta_masked_argmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.186s) 2022-12-01T10:23:49.3787603Z test_meta_masked_argmin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.160s) 2022-12-01T10:23:49.3787731Z test_meta_masked_argmin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.161s) 2022-12-01T10:23:49.3787897Z test_meta_masked_argmin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.159s) 2022-12-01T10:23:49.3788024Z test_meta_masked_argmin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.160s) 2022-12-01T10:23:49.3788150Z test_meta_masked_argmin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.160s) 2022-12-01T10:23:49.3788284Z test_meta_masked_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3788424Z test_meta_masked_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.3788562Z test_meta_masked_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.3788684Z test_meta_masked_cumprod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3788865Z test_meta_masked_cumprod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3788999Z test_meta_masked_cumprod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3789129Z test_meta_masked_cumprod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3789258Z test_meta_masked_cumprod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3789389Z test_meta_masked_cumprod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3789515Z test_meta_masked_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3789643Z test_meta_masked_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3789767Z test_meta_masked_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3789903Z test_meta_masked_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790037Z test_meta_masked_cumsum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790167Z test_meta_masked_cumsum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790293Z test_meta_masked_cumsum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790423Z test_meta_masked_cumsum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790549Z test_meta_masked_cumsum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790677Z test_meta_masked_cumsum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790793Z test_meta_masked_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.3790921Z test_meta_masked_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3791049Z test_meta_masked_fill_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3791180Z test_meta_masked_fill_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3791314Z test_meta_masked_fill_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3791445Z test_meta_masked_fill_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3791573Z test_meta_masked_fill_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3791700Z test_meta_masked_fill_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3791815Z test_meta_masked_fill_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3791943Z test_meta_masked_fill_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3792075Z test_meta_masked_fill_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3792199Z test_meta_masked_fill_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3792326Z test_meta_masked_fill_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3792448Z test_meta_masked_fill_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3792591Z test_meta_masked_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3792731Z test_meta_masked_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3792857Z test_meta_masked_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.052s) 2022-12-01T10:23:49.3793027Z test_meta_masked_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.071s) 2022-12-01T10:23:49.3793166Z test_meta_masked_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.071s) 2022-12-01T10:23:49.3793303Z test_meta_masked_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.072s) 2022-12-01T10:23:49.3793440Z test_meta_masked_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.352s) 2022-12-01T10:23:49.3793574Z test_meta_masked_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.351s) 2022-12-01T10:23:49.3793707Z test_meta_masked_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.352s) 2022-12-01T10:23:49.3793866Z test_meta_masked_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... ok (0.305s) 2022-12-01T10:23:49.3793988Z test_meta_masked_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... ok (0.306s) 2022-12-01T10:23:49.3794123Z test_meta_masked_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... ok (0.306s) 2022-12-01T10:23:49.3794258Z test_meta_masked_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... ok (0.305s) 2022-12-01T10:23:49.3794390Z test_meta_masked_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.305s) 2022-12-01T10:23:49.3794520Z test_meta_masked_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.740s) 2022-12-01T10:23:49.3794645Z test_meta_masked_mean_cpu_bool (__main__.TestMetaCPU) ... ok (0.606s) 2022-12-01T10:23:49.3794778Z test_meta_masked_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.610s) 2022-12-01T10:23:49.3794909Z test_meta_masked_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.613s) 2022-12-01T10:23:49.3795026Z test_meta_masked_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.741s) 2022-12-01T10:23:49.3795154Z test_meta_masked_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.739s) 2022-12-01T10:23:49.3795279Z test_meta_masked_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.739s) 2022-12-01T10:23:49.3795403Z test_meta_masked_mean_cpu_int16 (__main__.TestMetaCPU) ... ok (0.608s) 2022-12-01T10:23:49.3795528Z test_meta_masked_mean_cpu_int32 (__main__.TestMetaCPU) ... ok (0.609s) 2022-12-01T10:23:49.3795657Z test_meta_masked_mean_cpu_int64 (__main__.TestMetaCPU) ... ok (0.610s) 2022-12-01T10:23:49.3795781Z test_meta_masked_mean_cpu_int8 (__main__.TestMetaCPU) ... ok (0.610s) 2022-12-01T10:23:49.3795905Z test_meta_masked_mean_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.609s) 2022-12-01T10:23:49.3796025Z test_meta_masked_median_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.057s) 2022-12-01T10:23:49.3796155Z test_meta_masked_median_cpu_float32 (__main__.TestMetaCPU) ... ok (0.057s) 2022-12-01T10:23:49.3796287Z test_meta_masked_median_cpu_float64 (__main__.TestMetaCPU) ... ok (0.056s) 2022-12-01T10:23:49.3796419Z test_meta_masked_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (1.488s) 2022-12-01T10:23:49.3796550Z test_meta_masked_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (1.489s) 2022-12-01T10:23:49.3796678Z test_meta_masked_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (1.489s) 2022-12-01T10:23:49.3796808Z test_meta_masked_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (1.491s) 2022-12-01T10:23:49.3796950Z test_meta_masked_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.3797080Z test_meta_masked_normalize_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.063s) 2022-12-01T10:23:49.3797222Z test_meta_masked_normalize_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.063s) 2022-12-01T10:23:49.3797356Z test_meta_masked_normalize_cpu_float16 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.3797492Z test_meta_masked_normalize_cpu_float32 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.3797629Z test_meta_masked_normalize_cpu_float64 (__main__.TestMetaCPU) ... ok (0.061s) 2022-12-01T10:23:49.3797756Z test_meta_masked_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.298s) 2022-12-01T10:23:49.3797891Z test_meta_masked_prod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.298s) 2022-12-01T10:23:49.3798024Z test_meta_masked_prod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.297s) 2022-12-01T10:23:49.3798170Z test_meta_masked_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.355s) 2022-12-01T10:23:49.3798298Z test_meta_masked_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.356s) 2022-12-01T10:23:49.3798426Z test_meta_masked_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.300s) 2022-12-01T10:23:49.3798555Z test_meta_masked_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.300s) 2022-12-01T10:23:49.3798686Z test_meta_masked_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.298s) 2022-12-01T10:23:49.3798811Z test_meta_masked_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.300s) 2022-12-01T10:23:49.3798966Z test_meta_masked_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.300s) 2022-12-01T10:23:49.3799104Z test_meta_masked_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3799222Z test_meta_masked_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3799364Z test_meta_masked_scatter_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3799503Z test_meta_masked_scatter_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3799637Z test_meta_masked_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3799767Z test_meta_masked_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3799896Z test_meta_masked_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3800026Z test_meta_masked_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3800161Z test_meta_masked_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3800279Z test_meta_masked_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3800406Z test_meta_masked_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3800533Z test_meta_masked_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3800666Z test_meta_masked_select_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3800798Z test_meta_masked_select_cpu_bool (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3800933Z test_meta_masked_select_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801074Z test_meta_masked_select_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801209Z test_meta_masked_select_cpu_float16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801328Z test_meta_masked_select_cpu_float32 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801457Z test_meta_masked_select_cpu_float64 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801597Z test_meta_masked_select_cpu_int16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801722Z test_meta_masked_select_cpu_int32 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801847Z test_meta_masked_select_cpu_int64 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3801977Z test_meta_masked_select_cpu_int8 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3802107Z test_meta_masked_select_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3802244Z test_meta_masked_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3802365Z test_meta_masked_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3802495Z test_meta_masked_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3802631Z test_meta_masked_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3802766Z test_meta_masked_softmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3802895Z test_meta_masked_softmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.051s) 2022-12-01T10:23:49.3803022Z test_meta_masked_std_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (2.292s) 2022-12-01T10:23:49.3803157Z test_meta_masked_std_cpu_complex128 (__main__.TestMetaCPU) ... ok (1.876s) 2022-12-01T10:23:49.3803315Z test_meta_masked_std_cpu_complex64 (__main__.TestMetaCPU) ... ok (1.872s) 2022-12-01T10:23:49.3803432Z test_meta_masked_std_cpu_float32 (__main__.TestMetaCPU) ... ok (2.310s) 2022-12-01T10:23:49.3803559Z test_meta_masked_std_cpu_float64 (__main__.TestMetaCPU) ... ok (2.308s) 2022-12-01T10:23:49.3803688Z test_meta_masked_std_cpu_int16 (__main__.TestMetaCPU) ... ok (1.902s) 2022-12-01T10:23:49.3803814Z test_meta_masked_std_cpu_int32 (__main__.TestMetaCPU) ... ok (1.903s) 2022-12-01T10:23:49.3803938Z test_meta_masked_std_cpu_int64 (__main__.TestMetaCPU) ... ok (1.904s) 2022-12-01T10:23:49.3804089Z test_meta_masked_std_cpu_int8 (__main__.TestMetaCPU) ... ok (2.017s) 2022-12-01T10:23:49.3804215Z test_meta_masked_std_cpu_uint8 (__main__.TestMetaCPU) ... ok (1.902s) 2022-12-01T10:23:49.3804342Z test_meta_masked_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.325s) 2022-12-01T10:23:49.3804454Z test_meta_masked_sum_cpu_bool (__main__.TestMetaCPU) ... ok (0.272s) 2022-12-01T10:23:49.3804589Z test_meta_masked_sum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.274s) 2022-12-01T10:23:49.3804722Z test_meta_masked_sum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.273s) 2022-12-01T10:23:49.3804848Z test_meta_masked_sum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.324s) 2022-12-01T10:23:49.3804973Z test_meta_masked_sum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.326s) 2022-12-01T10:23:49.3805099Z test_meta_masked_sum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.326s) 2022-12-01T10:23:49.3805223Z test_meta_masked_sum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.273s) 2022-12-01T10:23:49.3805348Z test_meta_masked_sum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.274s) 2022-12-01T10:23:49.3805460Z test_meta_masked_sum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.272s) 2022-12-01T10:23:49.3805585Z test_meta_masked_sum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.273s) 2022-12-01T10:23:49.3805708Z test_meta_masked_sum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.274s) 2022-12-01T10:23:49.3805841Z test_meta_masked_var_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (2.263s) 2022-12-01T10:23:49.3805974Z test_meta_masked_var_cpu_complex128 (__main__.TestMetaCPU) ... ok (1.852s) 2022-12-01T10:23:49.3806103Z test_meta_masked_var_cpu_complex64 (__main__.TestMetaCPU) ... ok (1.852s) 2022-12-01T10:23:49.3806234Z test_meta_masked_var_cpu_float16 (__main__.TestMetaCPU) ... ok (2.261s) 2022-12-01T10:23:49.3806360Z test_meta_masked_var_cpu_float32 (__main__.TestMetaCPU) ... ok (2.266s) 2022-12-01T10:23:49.3806474Z test_meta_masked_var_cpu_float64 (__main__.TestMetaCPU) ... ok (2.265s) 2022-12-01T10:23:49.3806599Z test_meta_masked_var_cpu_int16 (__main__.TestMetaCPU) ... ok (1.863s) 2022-12-01T10:23:49.3806722Z test_meta_masked_var_cpu_int32 (__main__.TestMetaCPU) ... ok (1.864s) 2022-12-01T10:23:49.3806846Z test_meta_masked_var_cpu_int64 (__main__.TestMetaCPU) ... ok (1.865s) 2022-12-01T10:23:49.3807105Z test_meta_masked_var_cpu_int8 (__main__.TestMetaCPU) ... ok (1.866s) 2022-12-01T10:23:49.3807233Z test_meta_masked_var_cpu_uint8 (__main__.TestMetaCPU) ... ok (1.866s) 2022-12-01T10:23:49.3807359Z test_meta_matmul_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3807488Z test_meta_matmul_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3807604Z test_meta_matmul_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3807729Z test_meta_matmul_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3807851Z test_meta_matmul_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3807976Z test_meta_matmul_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3808096Z test_meta_matmul_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3808212Z test_meta_matmul_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3808334Z test_meta_matmul_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3808504Z test_meta_matmul_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3808622Z test_meta_matrix_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3808756Z test_meta_matrix_exp_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3808888Z test_meta_matrix_exp_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3809016Z test_meta_matrix_exp_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3809144Z test_meta_matrix_exp_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3809273Z test_meta_max_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3809435Z test_meta_max_binary_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3809550Z test_meta_max_binary_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3809676Z test_meta_max_binary_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3809805Z test_meta_max_binary_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3809931Z test_meta_max_binary_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3810058Z test_meta_max_binary_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3810183Z test_meta_max_binary_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3810310Z test_meta_max_binary_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3810434Z test_meta_max_binary_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3810569Z test_meta_max_reduction_no_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3810712Z test_meta_max_reduction_no_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3810851Z test_meta_max_reduction_no_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3810989Z test_meta_max_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3811124Z test_meta_max_reduction_no_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3811330Z test_meta_max_reduction_no_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3811471Z test_meta_max_reduction_no_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3811610Z test_meta_max_reduction_no_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3811746Z test_meta_max_reduction_no_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3811868Z test_meta_max_reduction_no_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3812018Z test_meta_max_reduction_with_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3812159Z test_meta_max_reduction_with_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3812302Z test_meta_max_reduction_with_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3812444Z test_meta_max_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3812580Z test_meta_max_reduction_with_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3812721Z test_meta_max_reduction_with_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3812858Z test_meta_max_reduction_with_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3812978Z test_meta_max_reduction_with_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3813118Z test_meta_max_reduction_with_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3813252Z test_meta_max_reduction_with_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3813377Z test_meta_maximum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3813504Z test_meta_maximum_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3813671Z test_meta_maximum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3813794Z test_meta_maximum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3813918Z test_meta_maximum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3814029Z test_meta_maximum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3814148Z test_meta_maximum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3814268Z test_meta_maximum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3814389Z test_meta_maximum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3814531Z test_meta_maximum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3814652Z test_meta_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3814777Z test_meta_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3814903Z test_meta_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3815015Z test_meta_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3815133Z test_meta_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3815250Z test_meta_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3815378Z test_meta_median_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3815503Z test_meta_median_cpu_float32 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3815624Z test_meta_median_cpu_float64 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3815748Z test_meta_median_cpu_int16 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3815853Z test_meta_median_cpu_int32 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3815968Z test_meta_median_cpu_int64 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3816089Z test_meta_median_cpu_int8 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3816208Z test_meta_median_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.054s) 2022-12-01T10:23:49.3816358Z test_meta_meshgrid_list_of_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3816500Z test_meta_meshgrid_list_of_tensors_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3816651Z test_meta_meshgrid_list_of_tensors_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3816800Z test_meta_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3816946Z test_meta_meshgrid_list_of_tensors_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3817079Z test_meta_meshgrid_list_of_tensors_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3817221Z test_meta_meshgrid_list_of_tensors_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3817363Z test_meta_meshgrid_list_of_tensors_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3817502Z test_meta_meshgrid_list_of_tensors_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3817636Z test_meta_meshgrid_list_of_tensors_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3817777Z test_meta_meshgrid_list_of_tensors_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3817914Z test_meta_meshgrid_list_of_tensors_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3818062Z test_meta_meshgrid_variadic_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3818193Z test_meta_meshgrid_variadic_tensors_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3818346Z test_meta_meshgrid_variadic_tensors_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3818496Z test_meta_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3818640Z test_meta_meshgrid_variadic_tensors_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3818814Z test_meta_meshgrid_variadic_tensors_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3818958Z test_meta_meshgrid_variadic_tensors_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3819103Z test_meta_meshgrid_variadic_tensors_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3819246Z test_meta_meshgrid_variadic_tensors_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3819380Z test_meta_meshgrid_variadic_tensors_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3819557Z test_meta_meshgrid_variadic_tensors_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3819704Z test_meta_meshgrid_variadic_tensors_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3819834Z test_meta_min_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3819964Z test_meta_min_binary_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3820092Z test_meta_min_binary_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3820222Z test_meta_min_binary_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3820353Z test_meta_min_binary_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3820467Z test_meta_min_binary_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3820591Z test_meta_min_binary_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3820714Z test_meta_min_binary_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3820840Z test_meta_min_binary_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3820966Z test_meta_min_binary_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3821105Z test_meta_min_reduction_no_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3821243Z test_meta_min_reduction_no_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3821383Z test_meta_min_reduction_no_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3821507Z test_meta_min_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3821642Z test_meta_min_reduction_no_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3821780Z test_meta_min_reduction_no_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3821915Z test_meta_min_reduction_no_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3822053Z test_meta_min_reduction_no_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3822191Z test_meta_min_reduction_no_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3822329Z test_meta_min_reduction_no_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3822474Z test_meta_min_reduction_with_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3822615Z test_meta_min_reduction_with_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3822745Z test_meta_min_reduction_with_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3822881Z test_meta_min_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3823017Z test_meta_min_reduction_with_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3823155Z test_meta_min_reduction_with_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3823288Z test_meta_min_reduction_with_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3823422Z test_meta_min_reduction_with_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3823561Z test_meta_min_reduction_with_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3823694Z test_meta_min_reduction_with_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3823833Z test_meta_minimum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3823954Z test_meta_minimum_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3824084Z test_meta_minimum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3824208Z test_meta_minimum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3824330Z test_meta_minimum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3824454Z test_meta_minimum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3824575Z test_meta_minimum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3824717Z test_meta_minimum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3824826Z test_meta_minimum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3824946Z test_meta_minimum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3825069Z test_meta_mm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3825190Z test_meta_mm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3825309Z test_meta_mm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3825427Z test_meta_mm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3825544Z test_meta_mm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3825650Z test_meta_mm_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3825765Z test_meta_mm_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3825883Z test_meta_mm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3825998Z test_meta_mm_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3826115Z test_meta_mm_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3826238Z test_meta_mode_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3826364Z test_meta_mode_cpu_bool (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3826483Z test_meta_mode_cpu_float16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3826591Z test_meta_mode_cpu_float32 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3826707Z test_meta_mode_cpu_float64 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3826824Z test_meta_mode_cpu_int16 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3826943Z test_meta_mode_cpu_int32 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3827060Z test_meta_mode_cpu_int64 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3827178Z test_meta_mode_cpu_int8 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3827295Z test_meta_mode_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3827425Z test_meta_movedim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3827532Z test_meta_movedim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3827665Z test_meta_movedim_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3827795Z test_meta_movedim_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3827925Z test_meta_movedim_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828050Z test_meta_movedim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828175Z test_meta_movedim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828299Z test_meta_movedim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828424Z test_meta_movedim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828533Z test_meta_movedim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828652Z test_meta_movedim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828776Z test_meta_movedim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3828925Z test_meta_movedim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3829047Z test_meta_msort_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3829167Z test_meta_msort_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3829289Z test_meta_msort_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3829397Z test_meta_msort_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3829515Z test_meta_msort_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3829633Z test_meta_msort_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3829773Z test_meta_msort_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3829891Z test_meta_msort_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3830008Z test_meta_msort_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3830134Z test_meta_msort_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3830254Z test_meta_mul_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3830359Z test_meta_mul_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3830482Z test_meta_mul_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3830604Z test_meta_mul_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3830724Z test_meta_mul_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3830843Z test_meta_mul_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3830962Z test_meta_mul_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3831075Z test_meta_mul_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3831191Z test_meta_mul_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3831296Z test_meta_mul_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3831412Z test_meta_mul_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3831528Z test_meta_mul_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3831642Z test_meta_mul_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3831775Z test_meta_multinomial_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.077s) 2022-12-01T10:23:49.3831906Z test_meta_multinomial_cpu_float32 (__main__.TestMetaCPU) ... ok (0.077s) 2022-12-01T10:23:49.3832036Z test_meta_multinomial_cpu_float64 (__main__.TestMetaCPU) ... ok (0.077s) 2022-12-01T10:23:49.3832154Z test_meta_mv_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3832267Z test_meta_mv_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3832386Z test_meta_mv_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3832502Z test_meta_mv_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3832617Z test_meta_mv_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3832735Z test_meta_mv_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3832850Z test_meta_mv_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3832965Z test_meta_mv_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3833070Z test_meta_mv_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3833184Z test_meta_mv_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3833329Z test_meta_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3833472Z test_meta_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3833607Z test_meta_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3833746Z test_meta_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3833880Z test_meta_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3834038Z test_meta_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3834162Z test_meta_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3834298Z test_meta_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3834443Z test_meta_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3834582Z test_meta_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3834743Z test_meta_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3834884Z test_meta_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3835016Z test_meta_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3835147Z test_meta_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3835284Z test_meta_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3835411Z test_meta_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3835552Z test_meta_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3835691Z test_meta_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3835831Z test_meta_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3835965Z test_meta_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3836097Z test_meta_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3836227Z test_meta_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3836365Z test_meta_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3836494Z test_meta_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3836621Z test_meta_nan_to_num_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3836744Z test_meta_nan_to_num_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3836870Z test_meta_nan_to_num_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3836996Z test_meta_nan_to_num_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3837120Z test_meta_nan_to_num_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3837248Z test_meta_nan_to_num_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3837370Z test_meta_nan_to_num_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3837482Z test_meta_nan_to_num_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3837607Z test_meta_nan_to_num_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3837734Z test_meta_nan_to_num_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3837858Z test_meta_nanmean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3837984Z test_meta_nanmean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3838108Z test_meta_nanmean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3838233Z test_meta_nanmean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3838360Z test_meta_nanmedian_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3838480Z test_meta_nanmedian_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3838608Z test_meta_nanmedian_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3838730Z test_meta_nanmedian_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3838854Z test_meta_nanmedian_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3839007Z test_meta_nanmedian_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3839131Z test_meta_nanmedian_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3839254Z test_meta_nanmedian_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3839384Z test_meta_nanquantile_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3839501Z test_meta_nanquantile_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3839622Z test_meta_nansum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3839769Z test_meta_nansum_cpu_bool (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3839896Z test_meta_nansum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3840017Z test_meta_nansum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3840134Z test_meta_nansum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3840256Z test_meta_nansum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3840362Z test_meta_nansum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3840479Z test_meta_nansum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3840597Z test_meta_nansum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3840714Z test_meta_nansum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3840845Z test_meta_narrow_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3840972Z test_meta_narrow_copy_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3841108Z test_meta_narrow_copy_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3841245Z test_meta_narrow_copy_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3841366Z test_meta_narrow_copy_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3841498Z test_meta_narrow_copy_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3841626Z test_meta_narrow_copy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3841751Z test_meta_narrow_copy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3841877Z test_meta_narrow_copy_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3842002Z test_meta_narrow_copy_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3842128Z test_meta_narrow_copy_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3842253Z test_meta_narrow_copy_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3842368Z test_meta_narrow_copy_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.3842494Z test_meta_narrow_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3842619Z test_meta_narrow_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3842746Z test_meta_narrow_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3842870Z test_meta_narrow_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3842994Z test_meta_narrow_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843115Z test_meta_narrow_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843237Z test_meta_narrow_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843343Z test_meta_narrow_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843462Z test_meta_narrow_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843581Z test_meta_narrow_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843695Z test_meta_narrow_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843814Z test_meta_narrow_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3843931Z test_meta_narrow_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3844094Z test_meta_native_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3844230Z test_meta_native_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3844354Z test_meta_native_batch_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3844491Z test_meta_native_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3844627Z test_meta_native_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3844760Z test_meta_native_layer_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3844908Z test_meta_ne_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3845029Z test_meta_ne_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3845153Z test_meta_ne_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3845278Z test_meta_ne_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3845385Z test_meta_ne_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3845502Z test_meta_ne_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3845618Z test_meta_ne_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3845734Z test_meta_ne_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3845850Z test_meta_ne_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3845967Z test_meta_ne_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3846085Z test_meta_ne_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3846189Z test_meta_ne_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3846312Z test_meta_neg_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3846435Z test_meta_neg_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3846562Z test_meta_neg_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3846688Z test_meta_neg_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3846807Z test_meta_neg_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3846924Z test_meta_neg_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3847169Z test_meta_neg_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3847276Z test_meta_neg_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3847393Z test_meta_neg_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3847513Z test_meta_neg_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3847629Z test_meta_neg_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3847745Z test_meta_neg_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3847875Z test_meta_new_empty_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848007Z test_meta_new_empty_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848140Z test_meta_new_empty_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848258Z test_meta_new_empty_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848390Z test_meta_new_empty_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848518Z test_meta_new_empty_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848643Z test_meta_new_empty_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848775Z test_meta_new_empty_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3848898Z test_meta_new_empty_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3849025Z test_meta_new_empty_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3849149Z test_meta_new_empty_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3849309Z test_meta_new_empty_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3849431Z test_meta_new_empty_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3849610Z test_meta_new_empty_strided_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3849747Z test_meta_new_empty_strided_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3849891Z test_meta_new_empty_strided_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3850031Z test_meta_new_empty_strided_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3850210Z test_meta_new_empty_strided_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3850352Z test_meta_new_empty_strided_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3850477Z test_meta_new_empty_strided_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3850617Z test_meta_new_empty_strided_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3850751Z test_meta_new_empty_strided_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3850885Z test_meta_new_empty_strided_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3851023Z test_meta_new_empty_strided_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3851154Z test_meta_new_empty_strided_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3851379Z test_meta_new_empty_strided_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3851509Z test_meta_new_full_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3851624Z test_meta_new_full_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3851756Z test_meta_new_full_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3851886Z test_meta_new_full_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3852015Z test_meta_new_full_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3852142Z test_meta_new_full_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3852267Z test_meta_new_full_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3852394Z test_meta_new_full_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3852517Z test_meta_new_full_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3852625Z test_meta_new_full_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3852744Z test_meta_new_full_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3852868Z test_meta_new_full_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3852989Z test_meta_new_full_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853113Z test_meta_new_ones_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853237Z test_meta_new_ones_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853372Z test_meta_new_ones_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853502Z test_meta_new_ones_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853616Z test_meta_new_ones_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853743Z test_meta_new_ones_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853867Z test_meta_new_ones_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3853993Z test_meta_new_ones_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854114Z test_meta_new_ones_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854229Z test_meta_new_ones_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854348Z test_meta_new_ones_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854471Z test_meta_new_ones_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854616Z test_meta_new_ones_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854743Z test_meta_new_zeros_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854864Z test_meta_new_zeros_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3854995Z test_meta_new_zeros_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3855127Z test_meta_new_zeros_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3855254Z test_meta_new_zeros_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3855421Z test_meta_new_zeros_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3855549Z test_meta_new_zeros_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3855662Z test_meta_new_zeros_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3855786Z test_meta_new_zeros_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3855914Z test_meta_new_zeros_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3856037Z test_meta_new_zeros_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3856160Z test_meta_new_zeros_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3856282Z test_meta_new_zeros_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3856412Z test_meta_nextafter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3856526Z test_meta_nextafter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3856655Z test_meta_nextafter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3856827Z test_meta_nn_functional__scaled_dot_product_attention_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3856997Z test_meta_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3857167Z test_meta_nn_functional__scaled_dot_product_attention_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3857327Z test_meta_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3857486Z test_meta_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3857642Z test_meta_nn_functional_adaptive_avg_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3857802Z test_meta_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3857950Z test_meta_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3858106Z test_meta_nn_functional_adaptive_avg_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3858260Z test_meta_nn_functional_adaptive_avg_pool3d_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3858418Z test_meta_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3858571Z test_meta_nn_functional_adaptive_avg_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3858727Z test_meta_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3858880Z test_meta_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3859034Z test_meta_nn_functional_adaptive_max_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3859193Z test_meta_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3859336Z test_meta_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3859489Z test_meta_nn_functional_adaptive_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3859673Z test_meta_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3859823Z test_meta_nn_functional_adaptive_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3859970Z test_meta_nn_functional_avg_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3860118Z test_meta_nn_functional_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3860263Z test_meta_nn_functional_avg_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3860406Z test_meta_nn_functional_avg_pool1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3860566Z test_meta_nn_functional_avg_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3860713Z test_meta_nn_functional_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3860857Z test_meta_nn_functional_avg_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3861002Z test_meta_nn_functional_avg_pool2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3861148Z test_meta_nn_functional_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3861292Z test_meta_nn_functional_avg_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3861433Z test_meta_nn_functional_avg_pool3d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3861577Z test_meta_nn_functional_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3861720Z test_meta_nn_functional_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3861849Z test_meta_nn_functional_batch_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3861995Z test_meta_nn_functional_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3862136Z test_meta_nn_functional_bilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3862272Z test_meta_nn_functional_bilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3862412Z test_meta_nn_functional_bilinear_cpu_int16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3862549Z test_meta_nn_functional_bilinear_cpu_int32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3862682Z test_meta_nn_functional_bilinear_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3862821Z test_meta_nn_functional_bilinear_cpu_int8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3862946Z test_meta_nn_functional_bilinear_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3863101Z test_meta_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3863257Z test_meta_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3863433Z test_meta_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3863604Z test_meta_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3863769Z test_meta_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3863910Z test_meta_nn_functional_celu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3864047Z test_meta_nn_functional_celu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3864184Z test_meta_nn_functional_celu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3864317Z test_meta_nn_functional_conv1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3864464Z test_meta_nn_functional_conv1d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3864607Z test_meta_nn_functional_conv1d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3864773Z test_meta_nn_functional_conv1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3864908Z test_meta_nn_functional_conv1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3865044Z test_meta_nn_functional_conv1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3865187Z test_meta_nn_functional_conv2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.024s) 2022-12-01T10:23:49.3865330Z test_meta_nn_functional_conv2d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3865457Z test_meta_nn_functional_conv2d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3865615Z test_meta_nn_functional_conv2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3865749Z test_meta_nn_functional_conv2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.023s) 2022-12-01T10:23:49.3865884Z test_meta_nn_functional_conv2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3866043Z test_meta_nn_functional_conv_transpose1d_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3866200Z test_meta_nn_functional_conv_transpose1d_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3866352Z test_meta_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3866505Z test_meta_nn_functional_conv_transpose1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3866643Z test_meta_nn_functional_conv_transpose1d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3866793Z test_meta_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3866940Z test_meta_nn_functional_conv_transpose2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3867089Z test_meta_nn_functional_conv_transpose2d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3867237Z test_meta_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3867387Z test_meta_nn_functional_conv_transpose3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3867533Z test_meta_nn_functional_conv_transpose3d_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3867698Z test_meta_nn_functional_cosine_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3867854Z test_meta_nn_functional_cosine_embedding_loss_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3868003Z test_meta_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3868157Z test_meta_nn_functional_cosine_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3868313Z test_meta_nn_functional_cosine_embedding_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3868471Z test_meta_nn_functional_cosine_embedding_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3868624Z test_meta_nn_functional_cosine_embedding_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3868774Z test_meta_nn_functional_cosine_embedding_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3868925Z test_meta_nn_functional_cosine_embedding_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3869082Z test_meta_nn_functional_cosine_similarity_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3869235Z test_meta_nn_functional_cosine_similarity_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3869377Z test_meta_nn_functional_cosine_similarity_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3869530Z test_meta_nn_functional_cross_entropy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3869676Z test_meta_nn_functional_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3869877Z test_meta_nn_functional_cross_entropy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3870016Z test_meta_nn_functional_ctc_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3870151Z test_meta_nn_functional_ctc_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3870298Z test_meta_nn_functional_dropout2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3870441Z test_meta_nn_functional_dropout2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3870599Z test_meta_nn_functional_dropout2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3870745Z test_meta_nn_functional_dropout3d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3870888Z test_meta_nn_functional_dropout3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3871032Z test_meta_nn_functional_dropout3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3871174Z test_meta_nn_functional_dropout_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3871315Z test_meta_nn_functional_dropout_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3871455Z test_meta_nn_functional_dropout_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3871594Z test_meta_nn_functional_elu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3871720Z test_meta_nn_functional_elu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3871861Z test_meta_nn_functional_elu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3872011Z test_meta_nn_functional_embedding_bag_cpu_float16 (__main__.TestMetaCPU) ... ok (0.036s) 2022-12-01T10:23:49.3872157Z test_meta_nn_functional_embedding_bag_cpu_float32 (__main__.TestMetaCPU) ... ok (0.035s) 2022-12-01T10:23:49.3872303Z test_meta_nn_functional_embedding_bag_cpu_float64 (__main__.TestMetaCPU) ... ok (0.032s) 2022-12-01T10:23:49.3872448Z test_meta_nn_functional_embedding_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3872588Z test_meta_nn_functional_embedding_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3872732Z test_meta_nn_functional_embedding_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3872873Z test_meta_nn_functional_embedding_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3873035Z test_meta_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3873208Z test_meta_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3873376Z test_meta_nn_functional_feature_alpha_dropout_with_train_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3873550Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3873723Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3873901Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3874076Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3874249Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3874423Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3874584Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3874756Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3874958Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3875127Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3875295Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3875462Z test_meta_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3875647Z test_meta_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3875808Z test_meta_nn_functional_fractional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3875958Z test_meta_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3876097Z test_meta_nn_functional_fractional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3876250Z test_meta_nn_functional_gaussian_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (1.721s) 2022-12-01T10:23:49.3876402Z test_meta_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (1.722s) 2022-12-01T10:23:49.3876553Z test_meta_nn_functional_gaussian_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (1.725s) 2022-12-01T10:23:49.3876693Z test_meta_nn_functional_gelu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3876832Z test_meta_nn_functional_gelu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3876972Z test_meta_nn_functional_gelu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3877111Z test_meta_nn_functional_glu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3877248Z test_meta_nn_functional_glu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3877379Z test_meta_nn_functional_glu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3877525Z test_meta_nn_functional_grid_sample_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3877672Z test_meta_nn_functional_grid_sample_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3877815Z test_meta_nn_functional_group_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3877958Z test_meta_nn_functional_group_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3878100Z test_meta_nn_functional_group_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3878249Z test_meta_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3878393Z test_meta_nn_functional_hardshrink_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3878524Z test_meta_nn_functional_hardshrink_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3878673Z test_meta_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3878819Z test_meta_nn_functional_hardsigmoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3878963Z test_meta_nn_functional_hardsigmoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3879104Z test_meta_nn_functional_hardswish_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3879246Z test_meta_nn_functional_hardswish_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3879392Z test_meta_nn_functional_hardswish_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3879536Z test_meta_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3879666Z test_meta_nn_functional_hardtanh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3879805Z test_meta_nn_functional_hardtanh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3879978Z test_meta_nn_functional_hardtanh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3880114Z test_meta_nn_functional_hardtanh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3880247Z test_meta_nn_functional_hardtanh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3880385Z test_meta_nn_functional_hardtanh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3880545Z test_meta_nn_functional_hinge_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3880727Z test_meta_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3880884Z test_meta_nn_functional_hinge_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3881017Z test_meta_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3881163Z test_meta_nn_functional_huber_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3881308Z test_meta_nn_functional_huber_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3881449Z test_meta_nn_functional_huber_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3881599Z test_meta_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3881751Z test_meta_nn_functional_instance_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3881897Z test_meta_nn_functional_instance_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3882052Z test_meta_nn_functional_interpolate_area_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3882193Z test_meta_nn_functional_interpolate_area_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3882352Z test_meta_nn_functional_interpolate_bicubic_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3882510Z test_meta_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3882668Z test_meta_nn_functional_interpolate_bicubic_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3882827Z test_meta_nn_functional_interpolate_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3882985Z test_meta_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3883140Z test_meta_nn_functional_interpolate_bilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3883295Z test_meta_nn_functional_interpolate_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3883452Z test_meta_nn_functional_interpolate_linear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3883594Z test_meta_nn_functional_interpolate_linear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3883747Z test_meta_nn_functional_interpolate_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3883901Z test_meta_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3884054Z test_meta_nn_functional_interpolate_nearest_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3884207Z test_meta_nn_functional_interpolate_nearest_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3884366Z test_meta_nn_functional_interpolate_trilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3884526Z test_meta_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3884679Z test_meta_nn_functional_interpolate_trilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3884819Z test_meta_nn_functional_kl_div_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3884976Z test_meta_nn_functional_kl_div_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3885111Z test_meta_nn_functional_kl_div_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3885252Z test_meta_nn_functional_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3885395Z test_meta_nn_functional_l1_loss_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3885535Z test_meta_nn_functional_l1_loss_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3885675Z test_meta_nn_functional_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3885835Z test_meta_nn_functional_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3885971Z test_meta_nn_functional_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3886103Z test_meta_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3886245Z test_meta_nn_functional_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3886385Z test_meta_nn_functional_layer_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3886527Z test_meta_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3886672Z test_meta_nn_functional_leaky_relu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3886812Z test_meta_nn_functional_leaky_relu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3887060Z test_meta_nn_functional_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3887206Z test_meta_nn_functional_linear_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3887336Z test_meta_nn_functional_linear_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3887474Z test_meta_nn_functional_linear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3887613Z test_meta_nn_functional_linear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3887750Z test_meta_nn_functional_linear_cpu_int16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3887886Z test_meta_nn_functional_linear_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3888023Z test_meta_nn_functional_linear_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3888162Z test_meta_nn_functional_linear_cpu_int8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3888298Z test_meta_nn_functional_linear_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3888457Z test_meta_nn_functional_local_response_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3888600Z test_meta_nn_functional_local_response_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3888757Z test_meta_nn_functional_local_response_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3888913Z test_meta_nn_functional_local_response_norm_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3889061Z test_meta_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3889207Z test_meta_nn_functional_logsigmoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3889351Z test_meta_nn_functional_logsigmoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3889504Z test_meta_nn_functional_margin_ranking_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3889659Z test_meta_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3889801Z test_meta_nn_functional_margin_ranking_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3889953Z test_meta_nn_functional_margin_ranking_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3890149Z test_meta_nn_functional_margin_ranking_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3890303Z test_meta_nn_functional_margin_ranking_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3890453Z test_meta_nn_functional_margin_ranking_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3890600Z test_meta_nn_functional_margin_ranking_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3890745Z test_meta_nn_functional_max_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.344s) 2022-12-01T10:23:49.3890935Z test_meta_nn_functional_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.344s) 2022-12-01T10:23:49.3891082Z test_meta_nn_functional_max_pool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.344s) 2022-12-01T10:23:49.3891284Z test_meta_nn_functional_max_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.566s) 2022-12-01T10:23:49.3891433Z test_meta_nn_functional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.565s) 2022-12-01T10:23:49.3891576Z test_meta_nn_functional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.583s) 2022-12-01T10:23:49.3891720Z test_meta_nn_functional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (2.228s) 2022-12-01T10:23:49.3891863Z test_meta_nn_functional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (2.238s) 2022-12-01T10:23:49.3892009Z test_meta_nn_functional_max_unpool1d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.508s) 2022-12-01T10:23:49.3892154Z test_meta_nn_functional_max_unpool1d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.509s) 2022-12-01T10:23:49.3892310Z test_meta_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.091s) 2022-12-01T10:23:49.3892450Z test_meta_nn_functional_max_unpool1d_grad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.089s) 2022-12-01T10:23:49.3892595Z test_meta_nn_functional_max_unpool2d_cpu_float32 (__main__.TestMetaCPU) ... ok (1.007s) 2022-12-01T10:23:49.3892739Z test_meta_nn_functional_max_unpool2d_cpu_float64 (__main__.TestMetaCPU) ... ok (1.025s) 2022-12-01T10:23:49.3892888Z test_meta_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.123s) 2022-12-01T10:23:49.3893036Z test_meta_nn_functional_max_unpool2d_grad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.137s) 2022-12-01T10:23:49.3893178Z test_meta_nn_functional_max_unpool3d_cpu_float32 (__main__.TestMetaCPU) ... ok (0.351s) 2022-12-01T10:23:49.3893320Z test_meta_nn_functional_max_unpool3d_cpu_float64 (__main__.TestMetaCPU) ... ok (0.355s) 2022-12-01T10:23:49.3893470Z test_meta_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestMetaCPU) ... ok (0.082s) 2022-12-01T10:23:49.3893618Z test_meta_nn_functional_max_unpool3d_grad_cpu_float64 (__main__.TestMetaCPU) ... ok (0.059s) 2022-12-01T10:23:49.3893744Z test_meta_nn_functional_mish_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3893883Z test_meta_nn_functional_mish_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3894028Z test_meta_nn_functional_mse_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3894163Z test_meta_nn_functional_mse_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3894298Z test_meta_nn_functional_mse_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3894447Z test_meta_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3894594Z test_meta_nn_functional_multi_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3894761Z test_meta_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3894905Z test_meta_nn_functional_multilabel_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3895073Z test_meta_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3895275Z test_meta_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3895439Z test_meta_nn_functional_multilabel_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3895582Z test_meta_nn_functional_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3895723Z test_meta_nn_functional_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3895861Z test_meta_nn_functional_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3896033Z test_meta_nn_functional_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3896183Z test_meta_nn_functional_normalize_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3896317Z test_meta_nn_functional_normalize_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3896459Z test_meta_nn_functional_normalize_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3896603Z test_meta_nn_functional_normalize_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3896741Z test_meta_nn_functional_one_hot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3896892Z test_meta_nn_functional_pad_circular_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3897039Z test_meta_nn_functional_pad_circular_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3897194Z test_meta_nn_functional_pad_circular_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3897348Z test_meta_nn_functional_pad_circular_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3897483Z test_meta_nn_functional_pad_circular_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3897629Z test_meta_nn_functional_pad_circular_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3897780Z test_meta_nn_functional_pad_circular_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3897926Z test_meta_nn_functional_pad_circular_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3898070Z test_meta_nn_functional_pad_circular_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3898215Z test_meta_nn_functional_pad_circular_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3898360Z test_meta_nn_functional_pad_circular_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3898503Z test_meta_nn_functional_pad_circular_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3898653Z test_meta_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3898783Z test_meta_nn_functional_pad_constant_cpu_bool (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3898936Z test_meta_nn_functional_pad_constant_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3899091Z test_meta_nn_functional_pad_constant_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3899238Z test_meta_nn_functional_pad_constant_cpu_float16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3899384Z test_meta_nn_functional_pad_constant_cpu_float32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3899527Z test_meta_nn_functional_pad_constant_cpu_float64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3899674Z test_meta_nn_functional_pad_constant_cpu_int16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3899816Z test_meta_nn_functional_pad_constant_cpu_int32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3899946Z test_meta_nn_functional_pad_constant_cpu_int64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3900087Z test_meta_nn_functional_pad_constant_cpu_int8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3900256Z test_meta_nn_functional_pad_constant_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3900404Z test_meta_nn_functional_pad_reflect_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3900553Z test_meta_nn_functional_pad_reflect_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3900699Z test_meta_nn_functional_pad_reflect_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3900845Z test_meta_nn_functional_pad_reflect_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3901000Z test_meta_nn_functional_pad_replicate_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3901177Z test_meta_nn_functional_pad_replicate_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3901313Z test_meta_nn_functional_pad_replicate_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3901459Z test_meta_nn_functional_pad_replicate_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3901617Z test_meta_nn_functional_pairwise_distance_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3901778Z test_meta_nn_functional_pairwise_distance_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3901934Z test_meta_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3902088Z test_meta_nn_functional_pairwise_distance_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3902239Z test_meta_nn_functional_pairwise_distance_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3902393Z test_meta_nn_functional_pairwise_distance_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3902529Z test_meta_nn_functional_pairwise_distance_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3902680Z test_meta_nn_functional_pairwise_distance_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3902827Z test_meta_nn_functional_pairwise_distance_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3902975Z test_meta_nn_functional_pairwise_distance_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3903120Z test_meta_nn_functional_pairwise_distance_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3903261Z test_meta_nn_functional_pdist_cpu_float32 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3903397Z test_meta_nn_functional_pdist_cpu_float64 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3903545Z test_meta_nn_functional_pixel_shuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3903692Z test_meta_nn_functional_pixel_shuffle_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3903835Z test_meta_nn_functional_pixel_shuffle_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3903986Z test_meta_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3904134Z test_meta_nn_functional_pixel_shuffle_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3904281Z test_meta_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3904424Z test_meta_nn_functional_pixel_shuffle_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3904569Z test_meta_nn_functional_pixel_shuffle_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3904716Z test_meta_nn_functional_pixel_shuffle_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3904862Z test_meta_nn_functional_pixel_shuffle_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3904994Z test_meta_nn_functional_pixel_shuffle_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3905138Z test_meta_nn_functional_pixel_shuffle_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3905320Z test_meta_nn_functional_pixel_unshuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3905468Z test_meta_nn_functional_pixel_unshuffle_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3905623Z test_meta_nn_functional_pixel_unshuffle_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3905780Z test_meta_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3905931Z test_meta_nn_functional_pixel_unshuffle_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3906077Z test_meta_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3906247Z test_meta_nn_functional_pixel_unshuffle_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3906384Z test_meta_nn_functional_pixel_unshuffle_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3906528Z test_meta_nn_functional_pixel_unshuffle_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3906674Z test_meta_nn_functional_pixel_unshuffle_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3906820Z test_meta_nn_functional_pixel_unshuffle_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3906965Z test_meta_nn_functional_pixel_unshuffle_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3907116Z test_meta_nn_functional_poisson_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.041s) 2022-12-01T10:23:49.3907270Z test_meta_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.043s) 2022-12-01T10:23:49.3907421Z test_meta_nn_functional_poisson_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3907557Z test_meta_nn_functional_poisson_nll_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.040s) 2022-12-01T10:23:49.3907705Z test_meta_nn_functional_poisson_nll_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3907850Z test_meta_nn_functional_poisson_nll_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.044s) 2022-12-01T10:23:49.3907996Z test_meta_nn_functional_poisson_nll_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3908137Z test_meta_nn_functional_poisson_nll_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.039s) 2022-12-01T10:23:49.3908278Z test_meta_nn_functional_prelu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3908416Z test_meta_nn_functional_prelu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3908550Z test_meta_nn_functional_prelu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3908690Z test_meta_nn_functional_relu6_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3908814Z test_meta_nn_functional_relu6_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3908945Z test_meta_nn_functional_relu6_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3909086Z test_meta_nn_functional_relu6_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3909222Z test_meta_nn_functional_relu6_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3909356Z test_meta_nn_functional_relu6_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3909489Z test_meta_nn_functional_relu6_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3909624Z test_meta_nn_functional_relu6_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3909763Z test_meta_nn_functional_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3909889Z test_meta_nn_functional_relu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3910025Z test_meta_nn_functional_relu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3910157Z test_meta_nn_functional_relu_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3910320Z test_meta_nn_functional_relu_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3910454Z test_meta_nn_functional_relu_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3910586Z test_meta_nn_functional_relu_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3910717Z test_meta_nn_functional_relu_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3910857Z test_meta_nn_functional_rrelu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3910983Z test_meta_nn_functional_rrelu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3911142Z test_meta_nn_functional_rrelu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3911278Z test_meta_nn_functional_selu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3911417Z test_meta_nn_functional_selu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3911551Z test_meta_nn_functional_selu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3911703Z test_meta_nn_functional_silu_complex_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3911853Z test_meta_nn_functional_silu_complex_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3911989Z test_meta_nn_functional_silu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3912113Z test_meta_nn_functional_silu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3912250Z test_meta_nn_functional_silu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3912398Z test_meta_nn_functional_smooth_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3912544Z test_meta_nn_functional_smooth_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3912686Z test_meta_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3912827Z test_meta_nn_functional_smooth_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3912978Z test_meta_nn_functional_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3913126Z test_meta_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3913274Z test_meta_nn_functional_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3913404Z test_meta_nn_functional_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3913546Z test_meta_nn_functional_softmin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3913685Z test_meta_nn_functional_softmin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3913838Z test_meta_nn_functional_softmin_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3913993Z test_meta_nn_functional_softmin_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3914150Z test_meta_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3914302Z test_meta_nn_functional_softmin_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3914454Z test_meta_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3914595Z test_meta_nn_functional_softmin_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3914744Z test_meta_nn_functional_softmin_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3914893Z test_meta_nn_functional_softmin_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3915038Z test_meta_nn_functional_softmin_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3915188Z test_meta_nn_functional_softmin_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3915359Z test_meta_nn_functional_softmin_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3915505Z test_meta_nn_functional_softplus_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3915649Z test_meta_nn_functional_softplus_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3915789Z test_meta_nn_functional_softplus_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3915923Z test_meta_nn_functional_softshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3916067Z test_meta_nn_functional_softshrink_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3916236Z test_meta_nn_functional_softshrink_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3916380Z test_meta_nn_functional_softsign_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3916524Z test_meta_nn_functional_softsign_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3916671Z test_meta_nn_functional_softsign_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3916813Z test_meta_nn_functional_softsign_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3916950Z test_meta_nn_functional_softsign_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3917073Z test_meta_nn_functional_softsign_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3917213Z test_meta_nn_functional_softsign_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3917349Z test_meta_nn_functional_softsign_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3917485Z test_meta_nn_functional_softsign_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3917622Z test_meta_nn_functional_softsign_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3917757Z test_meta_nn_functional_softsign_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3917905Z test_meta_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3918055Z test_meta_nn_functional_tanhshrink_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3918191Z test_meta_nn_functional_tanhshrink_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3918333Z test_meta_nn_functional_tanhshrink_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3918476Z test_meta_nn_functional_tanhshrink_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3918618Z test_meta_nn_functional_tanhshrink_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3918756Z test_meta_nn_functional_tanhshrink_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3918893Z test_meta_nn_functional_tanhshrink_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3919033Z test_meta_nn_functional_tanhshrink_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3919171Z test_meta_nn_functional_tanhshrink_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3919314Z test_meta_nn_functional_threshold_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3919448Z test_meta_nn_functional_threshold_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3919594Z test_meta_nn_functional_threshold_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3919734Z test_meta_nn_functional_threshold_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3919873Z test_meta_nn_functional_threshold_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3920008Z test_meta_nn_functional_threshold_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3920147Z test_meta_nn_functional_threshold_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3920285Z test_meta_nn_functional_threshold_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3920468Z test_meta_nn_functional_triplet_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3920615Z test_meta_nn_functional_triplet_margin_loss_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3920772Z test_meta_nn_functional_triplet_margin_loss_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3920927Z test_meta_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3921080Z test_meta_nn_functional_triplet_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3921257Z test_meta_nn_functional_triplet_margin_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3921413Z test_meta_nn_functional_triplet_margin_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3921561Z test_meta_nn_functional_triplet_margin_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3921713Z test_meta_nn_functional_triplet_margin_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3921863Z test_meta_nn_functional_triplet_margin_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3922026Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3922202Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3922379Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3922551Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3922720Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3922888Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3923058Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3923220Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3923388Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3923541Z test_meta_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3923689Z test_meta_nn_functional_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.153s) 2022-12-01T10:23:49.3923833Z test_meta_nn_functional_unfold_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.161s) 2022-12-01T10:23:49.3923976Z test_meta_nn_functional_unfold_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.158s) 2022-12-01T10:23:49.3924119Z test_meta_nn_functional_unfold_cpu_float16 (__main__.TestMetaCPU) ... ok (0.146s) 2022-12-01T10:23:49.3924256Z test_meta_nn_functional_unfold_cpu_float32 (__main__.TestMetaCPU) ... ok (0.147s) 2022-12-01T10:23:49.3924388Z test_meta_nn_functional_unfold_cpu_float64 (__main__.TestMetaCPU) ... ok (0.150s) 2022-12-01T10:23:49.3924543Z test_meta_nn_functional_upsample_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3924684Z test_meta_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3924835Z test_meta_nn_functional_upsample_bilinear_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3924992Z test_meta_nn_functional_upsample_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3925145Z test_meta_nn_functional_upsample_nearest_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3925299Z test_meta_nn_functional_upsample_nearest_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3925476Z test_meta_nn_functional_upsample_nearest_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3925605Z test_meta_nonzero_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3925727Z test_meta_nonzero_cpu_bool (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3925857Z test_meta_nonzero_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3925974Z test_meta_nonzero_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.137s) 2022-12-01T10:23:49.3926101Z test_meta_nonzero_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.137s) 2022-12-01T10:23:49.3926263Z test_meta_nonzero_cpu_float16 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3926391Z test_meta_nonzero_cpu_float32 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3926513Z test_meta_nonzero_cpu_float64 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3926635Z test_meta_nonzero_cpu_int16 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3926758Z test_meta_nonzero_cpu_int32 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3926880Z test_meta_nonzero_cpu_int64 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3927117Z test_meta_nonzero_cpu_int8 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3927239Z test_meta_nonzero_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.136s) 2022-12-01T10:23:49.3927357Z test_meta_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.030s) 2022-12-01T10:23:49.3927486Z test_meta_norm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.033s) 2022-12-01T10:23:49.3927619Z test_meta_norm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3927742Z test_meta_norm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3927861Z test_meta_norm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.029s) 2022-12-01T10:23:49.3927965Z test_meta_norm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.031s) 2022-12-01T10:23:49.3928094Z test_meta_norm_fro_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3928224Z test_meta_norm_fro_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3928353Z test_meta_norm_fro_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3928476Z test_meta_norm_fro_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3928603Z test_meta_norm_fro_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3928731Z test_meta_norm_inf_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3928865Z test_meta_norm_inf_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3928982Z test_meta_norm_inf_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3929107Z test_meta_norm_inf_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3929231Z test_meta_norm_inf_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3929355Z test_meta_norm_inf_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3929486Z test_meta_norm_nuc_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3929614Z test_meta_norm_nuc_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3929740Z test_meta_norm_nuc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3929863Z test_meta_norm_nuc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3929976Z test_meta_normal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3930100Z test_meta_normal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3930225Z test_meta_normal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3930345Z test_meta_normal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3930484Z test_meta_normal_number_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3930670Z test_meta_normal_number_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3930808Z test_meta_normal_number_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3930949Z test_meta_normal_number_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3931061Z test_meta_ones_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3931178Z test_meta_ones_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3931379Z test_meta_ones_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3931504Z test_meta_ones_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3931670Z test_meta_ones_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3931792Z test_meta_ones_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3931911Z test_meta_ones_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3932034Z test_meta_ones_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3932140Z test_meta_ones_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3932259Z test_meta_ones_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3932378Z test_meta_ones_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3932498Z test_meta_ones_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3932615Z test_meta_ones_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3932744Z test_meta_ones_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3932869Z test_meta_ones_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933000Z test_meta_ones_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933118Z test_meta_ones_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933245Z test_meta_ones_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3933373Z test_meta_ones_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933501Z test_meta_ones_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933623Z test_meta_ones_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933747Z test_meta_ones_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933869Z test_meta_ones_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3933991Z test_meta_ones_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3934103Z test_meta_ones_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3934230Z test_meta_ones_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3934360Z test_meta_ormqr_cpu_complex128 (__main__.TestMetaCPU) ... ok (1.121s) 2022-12-01T10:23:49.3934484Z test_meta_ormqr_cpu_complex64 (__main__.TestMetaCPU) ... ok (1.120s) 2022-12-01T10:23:49.3934609Z test_meta_ormqr_cpu_float32 (__main__.TestMetaCPU) ... ok (1.224s) 2022-12-01T10:23:49.3934728Z test_meta_ormqr_cpu_float64 (__main__.TestMetaCPU) ... ok (1.111s) 2022-12-01T10:23:49.3934851Z test_meta_outer_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3934957Z test_meta_outer_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935084Z test_meta_outer_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935209Z test_meta_outer_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935331Z test_meta_outer_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935453Z test_meta_outer_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935570Z test_meta_outer_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935690Z test_meta_outer_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935834Z test_meta_outer_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3935935Z test_meta_outer_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3936052Z test_meta_outer_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3936170Z test_meta_outer_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3936300Z test_meta_pca_lowrank_cpu_float32 (__main__.TestMetaCPU) ... ok (1.037s) 2022-12-01T10:23:49.3936428Z test_meta_pca_lowrank_cpu_float64 (__main__.TestMetaCPU) ... ok (1.038s) 2022-12-01T10:23:49.3936554Z test_meta_permute_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3936704Z test_meta_permute_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3936833Z test_meta_permute_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3936952Z test_meta_permute_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3937082Z test_meta_permute_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3937205Z test_meta_permute_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3937328Z test_meta_permute_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3937456Z test_meta_permute_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3937578Z test_meta_permute_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3937698Z test_meta_permute_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3937816Z test_meta_permute_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3937926Z test_meta_permute_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3938046Z test_meta_permute_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3938174Z test_meta_pinverse_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3938304Z test_meta_pinverse_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3938433Z test_meta_pinverse_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3938558Z test_meta_pinverse_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3938681Z test_meta_polar_cpu_float32 (__main__.TestMetaCPU) ... ok (0.080s) 2022-12-01T10:23:49.3938800Z test_meta_polar_cpu_float64 (__main__.TestMetaCPU) ... ok (0.079s) 2022-12-01T10:23:49.3938936Z test_meta_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3939081Z test_meta_polygamma_polygamma_n_0_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3939227Z test_meta_polygamma_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3939372Z test_meta_polygamma_polygamma_n_0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3939515Z test_meta_polygamma_polygamma_n_0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3939651Z test_meta_polygamma_polygamma_n_0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3939787Z test_meta_polygamma_polygamma_n_0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3939924Z test_meta_polygamma_polygamma_n_0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3940048Z test_meta_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3940194Z test_meta_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3940334Z test_meta_polygamma_polygamma_n_1_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3940479Z test_meta_polygamma_polygamma_n_1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3940618Z test_meta_polygamma_polygamma_n_1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3940758Z test_meta_polygamma_polygamma_n_1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3940921Z test_meta_polygamma_polygamma_n_1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3941058Z test_meta_polygamma_polygamma_n_1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3941186Z test_meta_polygamma_polygamma_n_1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3941321Z test_meta_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3941465Z test_meta_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3941606Z test_meta_polygamma_polygamma_n_2_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3941773Z test_meta_polygamma_polygamma_n_2_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3941916Z test_meta_polygamma_polygamma_n_2_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3942058Z test_meta_polygamma_polygamma_n_2_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3942199Z test_meta_polygamma_polygamma_n_2_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3942335Z test_meta_polygamma_polygamma_n_2_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3942462Z test_meta_polygamma_polygamma_n_2_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3942597Z test_meta_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3942739Z test_meta_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3942882Z test_meta_polygamma_polygamma_n_3_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943028Z test_meta_polygamma_polygamma_n_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943171Z test_meta_polygamma_polygamma_n_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943313Z test_meta_polygamma_polygamma_n_3_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943451Z test_meta_polygamma_polygamma_n_3_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943573Z test_meta_polygamma_polygamma_n_3_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943710Z test_meta_polygamma_polygamma_n_3_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943846Z test_meta_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3943987Z test_meta_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3944126Z test_meta_polygamma_polygamma_n_4_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3944271Z test_meta_polygamma_polygamma_n_4_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3944413Z test_meta_polygamma_polygamma_n_4_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3944553Z test_meta_polygamma_polygamma_n_4_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3944679Z test_meta_polygamma_polygamma_n_4_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3944817Z test_meta_polygamma_polygamma_n_4_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3944953Z test_meta_polygamma_polygamma_n_4_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3945087Z test_meta_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3945215Z test_meta_positive_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3945348Z test_meta_positive_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3945480Z test_meta_positive_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3945609Z test_meta_positive_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3945725Z test_meta_positive_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3945879Z test_meta_positive_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3946005Z test_meta_positive_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3946130Z test_meta_positive_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3946250Z test_meta_positive_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3946367Z test_meta_positive_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3946489Z test_meta_positive_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3946609Z test_meta_positive_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3946774Z test_meta_pow_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3946897Z test_meta_pow_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3947021Z test_meta_pow_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3947146Z test_meta_pow_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3947262Z test_meta_pow_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3947379Z test_meta_pow_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3947497Z test_meta_pow_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3947615Z test_meta_pow_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3947719Z test_meta_pow_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3947836Z test_meta_pow_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3947953Z test_meta_pow_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3948074Z test_meta_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3948201Z test_meta_prod_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3948329Z test_meta_prod_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3948450Z test_meta_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3948559Z test_meta_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3948678Z test_meta_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3948796Z test_meta_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3948914Z test_meta_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3949029Z test_meta_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3949145Z test_meta_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3949265Z test_meta_put_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3949384Z test_meta_put_cpu_bool (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3949498Z test_meta_put_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3949621Z test_meta_put_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3949741Z test_meta_put_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3949860Z test_meta_put_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3949978Z test_meta_put_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3950093Z test_meta_put_cpu_int16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3950208Z test_meta_put_cpu_int32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3950324Z test_meta_put_cpu_int64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3950427Z test_meta_put_cpu_int8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3950544Z test_meta_put_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.3950670Z test_meta_qr_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3950795Z test_meta_qr_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3950914Z test_meta_qr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3951059Z test_meta_qr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.3951185Z test_meta_quantile_cpu_float32 (__main__.TestMetaCPU) ... ok (0.072s) 2022-12-01T10:23:49.3951311Z test_meta_quantile_cpu_float64 (__main__.TestMetaCPU) ... ok (0.071s) 2022-12-01T10:23:49.3951426Z test_meta_rad2deg_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3951551Z test_meta_rad2deg_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3951677Z test_meta_rad2deg_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3951799Z test_meta_rad2deg_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3951946Z test_meta_rad2deg_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3952070Z test_meta_rad2deg_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3952189Z test_meta_rad2deg_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3952296Z test_meta_rad2deg_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3952416Z test_meta_rad2deg_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3952532Z test_meta_rad2deg_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3952657Z test_meta_rand_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3952789Z test_meta_rand_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3952918Z test_meta_rand_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3953048Z test_meta_rand_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3953178Z test_meta_rand_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3953292Z test_meta_rand_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3953417Z test_meta_rand_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3953552Z test_meta_randint_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3953677Z test_meta_randint_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3953809Z test_meta_randint_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3953936Z test_meta_randint_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3954062Z test_meta_randint_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3954190Z test_meta_randint_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3954304Z test_meta_randint_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3954431Z test_meta_randint_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3954557Z test_meta_randint_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3954683Z test_meta_randn_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3954810Z test_meta_randn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3954938Z test_meta_randn_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3955065Z test_meta_randn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3955187Z test_meta_randn_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3955295Z test_meta_randn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3955413Z test_meta_randn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3955541Z test_meta_randn_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3955677Z test_meta_randn_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3955807Z test_meta_randn_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3955935Z test_meta_randn_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3956090Z test_meta_randn_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3956216Z test_meta_randn_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3956330Z test_meta_randn_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3956453Z test_meta_ravel_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3956571Z test_meta_ravel_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3956696Z test_meta_ravel_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3956821Z test_meta_ravel_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3956970Z test_meta_ravel_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957095Z test_meta_ravel_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957216Z test_meta_ravel_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957321Z test_meta_ravel_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957442Z test_meta_ravel_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957559Z test_meta_ravel_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957673Z test_meta_ravel_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957790Z test_meta_ravel_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3957910Z test_meta_ravel_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958031Z test_meta_real_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958150Z test_meta_real_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958265Z test_meta_real_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958386Z test_meta_real_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958508Z test_meta_real_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958631Z test_meta_real_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958744Z test_meta_real_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958859Z test_meta_real_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3958975Z test_meta_real_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3959079Z test_meta_real_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3959194Z test_meta_real_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3959313Z test_meta_real_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3959427Z test_meta_real_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3959557Z test_meta_reciprocal_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3959686Z test_meta_reciprocal_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3959819Z test_meta_reciprocal_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3959952Z test_meta_reciprocal_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960067Z test_meta_reciprocal_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960196Z test_meta_reciprocal_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960322Z test_meta_reciprocal_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960451Z test_meta_reciprocal_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960577Z test_meta_reciprocal_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960704Z test_meta_reciprocal_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960834Z test_meta_reciprocal_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3960960Z test_meta_reciprocal_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3961076Z test_meta_remainder_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3961236Z test_meta_remainder_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3961361Z test_meta_remainder_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3961488Z test_meta_remainder_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.3961612Z test_meta_remainder_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3961736Z test_meta_remainder_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3961860Z test_meta_remainder_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3962023Z test_meta_remainder_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3962138Z test_meta_remainder_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3962259Z test_meta_renorm_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3962386Z test_meta_renorm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3962513Z test_meta_renorm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3962636Z test_meta_renorm_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3962756Z test_meta_renorm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3962875Z test_meta_renorm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3962998Z test_meta_repeat_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3963108Z test_meta_repeat_cpu_bool (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.3963237Z test_meta_repeat_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3963367Z test_meta_repeat_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3963489Z test_meta_repeat_cpu_float16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3963609Z test_meta_repeat_cpu_float32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3963729Z test_meta_repeat_cpu_float64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3963849Z test_meta_repeat_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3963965Z test_meta_repeat_cpu_int32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3964069Z test_meta_repeat_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3964187Z test_meta_repeat_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3964305Z test_meta_repeat_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3964442Z test_meta_repeat_interleave_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3964580Z test_meta_repeat_interleave_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3964723Z test_meta_repeat_interleave_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3964867Z test_meta_repeat_interleave_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3965006Z test_meta_repeat_interleave_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3965133Z test_meta_repeat_interleave_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3965269Z test_meta_repeat_interleave_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3965407Z test_meta_repeat_interleave_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3965540Z test_meta_repeat_interleave_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3965678Z test_meta_repeat_interleave_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3965813Z test_meta_repeat_interleave_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3965951Z test_meta_repeat_interleave_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3966082Z test_meta_repeat_interleave_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3966201Z test_meta_reshape_as_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3966356Z test_meta_reshape_as_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3966489Z test_meta_reshape_as_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3966622Z test_meta_reshape_as_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3966753Z test_meta_reshape_as_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3966882Z test_meta_reshape_as_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3967138Z test_meta_reshape_as_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3967311Z test_meta_reshape_as_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3967427Z test_meta_reshape_as_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3967553Z test_meta_reshape_as_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3967675Z test_meta_reshape_as_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3967802Z test_meta_reshape_as_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3967925Z test_meta_reshape_as_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3968052Z test_meta_reshape_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3968175Z test_meta_reshape_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3968305Z test_meta_reshape_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3968423Z test_meta_reshape_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3968554Z test_meta_reshape_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3968682Z test_meta_reshape_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3968808Z test_meta_reshape_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3968933Z test_meta_reshape_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3969060Z test_meta_reshape_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3969182Z test_meta_reshape_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3969288Z test_meta_reshape_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3969412Z test_meta_reshape_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3969532Z test_meta_reshape_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3969655Z test_meta_resize__cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3969779Z test_meta_resize__cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3969914Z test_meta_resize__cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970042Z test_meta_resize__cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970168Z test_meta_resize__cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970282Z test_meta_resize__cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970406Z test_meta_resize__cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970526Z test_meta_resize__cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970643Z test_meta_resize__cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970759Z test_meta_resize__cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970879Z test_meta_resize__cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3970995Z test_meta_resize__cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3971125Z test_meta_resize_as__cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3971314Z test_meta_resize_as__cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3971449Z test_meta_resize_as__cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3971625Z test_meta_resize_as__cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3971753Z test_meta_resize_as__cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3971880Z test_meta_resize_as__cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3972008Z test_meta_resize_as__cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3972133Z test_meta_resize_as__cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3972259Z test_meta_resize_as__cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3972371Z test_meta_resize_as__cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3972531Z test_meta_resize_as__cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3972685Z test_meta_resize_as__cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3972817Z test_meta_resolve_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3972948Z test_meta_resolve_conj_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973083Z test_meta_resolve_conj_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973216Z test_meta_resolve_conj_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973344Z test_meta_resolve_conj_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973460Z test_meta_resolve_conj_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973585Z test_meta_resolve_conj_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973710Z test_meta_resolve_conj_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973838Z test_meta_resolve_conj_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3973966Z test_meta_resolve_conj_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974094Z test_meta_resolve_conj_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974221Z test_meta_resolve_conj_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974351Z test_meta_resolve_neg_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974466Z test_meta_resolve_neg_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974597Z test_meta_resolve_neg_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974729Z test_meta_resolve_neg_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974863Z test_meta_resolve_neg_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3974994Z test_meta_resolve_neg_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975124Z test_meta_resolve_neg_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975249Z test_meta_resolve_neg_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975374Z test_meta_resolve_neg_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975492Z test_meta_resolve_neg_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975616Z test_meta_resolve_neg_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975741Z test_meta_resolve_neg_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975864Z test_meta_resolve_neg_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3975985Z test_meta_roll_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3976102Z test_meta_roll_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3976226Z test_meta_roll_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3976349Z test_meta_roll_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3976459Z test_meta_roll_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3976579Z test_meta_roll_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3976728Z test_meta_roll_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3976844Z test_meta_roll_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3976960Z test_meta_roll_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3977077Z test_meta_roll_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3977193Z test_meta_roll_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3977299Z test_meta_roll_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3977414Z test_meta_roll_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3977561Z test_meta_rot90_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3977681Z test_meta_rot90_cpu_bool (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3977805Z test_meta_rot90_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.3977929Z test_meta_rot90_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.3978053Z test_meta_rot90_cpu_float16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3978171Z test_meta_rot90_cpu_float32 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3978277Z test_meta_rot90_cpu_float64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.3978396Z test_meta_rot90_cpu_int16 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3978509Z test_meta_rot90_cpu_int32 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3978622Z test_meta_rot90_cpu_int64 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3978737Z test_meta_rot90_cpu_int8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3978858Z test_meta_rot90_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.012s) 2022-12-01T10:23:49.3978983Z test_meta_round_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979105Z test_meta_round_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979217Z test_meta_round_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979334Z test_meta_round_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979450Z test_meta_round_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979564Z test_meta_round_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979680Z test_meta_round_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979800Z test_meta_round_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3979936Z test_meta_round_decimals_0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3980073Z test_meta_round_decimals_0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3980197Z test_meta_round_decimals_0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3980331Z test_meta_round_decimals_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3980469Z test_meta_round_decimals_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3980601Z test_meta_round_decimals_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3980747Z test_meta_round_decimals_neg_3_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3980885Z test_meta_round_decimals_neg_3_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981018Z test_meta_round_decimals_neg_3_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981140Z test_meta_rsqrt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981245Z test_meta_rsqrt_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981375Z test_meta_rsqrt_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981501Z test_meta_rsqrt_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981623Z test_meta_rsqrt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981773Z test_meta_rsqrt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3981893Z test_meta_rsqrt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3982006Z test_meta_rsqrt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3982123Z test_meta_rsqrt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3982228Z test_meta_rsqrt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3982349Z test_meta_rsqrt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3982471Z test_meta_rsub_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3982622Z test_meta_rsub_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3982747Z test_meta_rsub_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3982868Z test_meta_rsub_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3982984Z test_meta_rsub_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3983091Z test_meta_rsub_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.3983206Z test_meta_rsub_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3983321Z test_meta_rsub_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3983439Z test_meta_rsub_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3983559Z test_meta_rsub_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3983675Z test_meta_rsub_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.3983805Z test_meta_scatter_add_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3983934Z test_meta_scatter_add_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3984058Z test_meta_scatter_add_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3984196Z test_meta_scatter_add_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.3984329Z test_meta_scatter_add_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3984459Z test_meta_scatter_add_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3984585Z test_meta_scatter_add_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3984716Z test_meta_scatter_add_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3984841Z test_meta_scatter_add_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3984966Z test_meta_scatter_add_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3985080Z test_meta_scatter_add_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3985207Z test_meta_scatter_add_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.3985332Z test_meta_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3985456Z test_meta_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3985587Z test_meta_scatter_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3985716Z test_meta_scatter_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3985841Z test_meta_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3985966Z test_meta_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3986078Z test_meta_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3986201Z test_meta_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3986320Z test_meta_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3986438Z test_meta_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.013s) 2022-12-01T10:23:49.3986559Z test_meta_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3986682Z test_meta_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.014s) 2022-12-01T10:23:49.3986850Z test_meta_scatter_reduce_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3986984Z test_meta_scatter_reduce_amax_cpu_bool (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3987114Z test_meta_scatter_reduce_amax_cpu_float16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3987246Z test_meta_scatter_reduce_amax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3987379Z test_meta_scatter_reduce_amax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3987517Z test_meta_scatter_reduce_amax_cpu_int16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3987678Z test_meta_scatter_reduce_amax_cpu_int32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3987815Z test_meta_scatter_reduce_amax_cpu_int64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3987947Z test_meta_scatter_reduce_amax_cpu_int8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3988081Z test_meta_scatter_reduce_amax_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3988212Z test_meta_scatter_reduce_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3988347Z test_meta_scatter_reduce_amin_cpu_bool (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3988486Z test_meta_scatter_reduce_amin_cpu_float16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3988621Z test_meta_scatter_reduce_amin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3988754Z test_meta_scatter_reduce_amin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3988888Z test_meta_scatter_reduce_amin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3989025Z test_meta_scatter_reduce_amin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3989156Z test_meta_scatter_reduce_amin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3989277Z test_meta_scatter_reduce_amin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3989411Z test_meta_scatter_reduce_amin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3989550Z test_meta_scatter_reduce_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3989685Z test_meta_scatter_reduce_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3989818Z test_meta_scatter_reduce_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3989950Z test_meta_scatter_reduce_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.022s) 2022-12-01T10:23:49.3990083Z test_meta_scatter_reduce_mean_cpu_int16 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3990216Z test_meta_scatter_reduce_mean_cpu_int32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3990338Z test_meta_scatter_reduce_mean_cpu_int64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3990471Z test_meta_scatter_reduce_mean_cpu_int8 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3990605Z test_meta_scatter_reduce_mean_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3990748Z test_meta_scatter_reduce_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3990884Z test_meta_scatter_reduce_prod_cpu_bool (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3991023Z test_meta_scatter_reduce_prod_cpu_float16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3991156Z test_meta_scatter_reduce_prod_cpu_float32 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3991287Z test_meta_scatter_reduce_prod_cpu_float64 (__main__.TestMetaCPU) ... ok (0.020s) 2022-12-01T10:23:49.3991412Z test_meta_scatter_reduce_prod_cpu_int16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3991545Z test_meta_scatter_reduce_prod_cpu_int32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3991680Z test_meta_scatter_reduce_prod_cpu_int64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3991840Z test_meta_scatter_reduce_prod_cpu_int8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3991972Z test_meta_scatter_reduce_prod_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3992110Z test_meta_scatter_reduce_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3992247Z test_meta_scatter_reduce_sum_cpu_bool (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3992385Z test_meta_scatter_reduce_sum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3992521Z test_meta_scatter_reduce_sum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3992672Z test_meta_scatter_reduce_sum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.021s) 2022-12-01T10:23:49.3992808Z test_meta_scatter_reduce_sum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3992943Z test_meta_scatter_reduce_sum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3993077Z test_meta_scatter_reduce_sum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3993213Z test_meta_scatter_reduce_sum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3993344Z test_meta_scatter_reduce_sum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.3993480Z test_meta_searchsorted_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (1.468s) 2022-12-01T10:23:49.3993610Z test_meta_searchsorted_cpu_float16 (__main__.TestMetaCPU) ... ok (1.469s) 2022-12-01T10:23:49.3993730Z test_meta_searchsorted_cpu_float32 (__main__.TestMetaCPU) ... ok (1.469s) 2022-12-01T10:23:49.3993857Z test_meta_searchsorted_cpu_float64 (__main__.TestMetaCPU) ... ok (1.469s) 2022-12-01T10:23:49.3993988Z test_meta_searchsorted_cpu_int16 (__main__.TestMetaCPU) ... ok (1.466s) 2022-12-01T10:23:49.3994120Z test_meta_searchsorted_cpu_int32 (__main__.TestMetaCPU) ... ok (1.474s) 2022-12-01T10:23:49.3994249Z test_meta_searchsorted_cpu_int64 (__main__.TestMetaCPU) ... ok (1.473s) 2022-12-01T10:23:49.3994381Z test_meta_searchsorted_cpu_int8 (__main__.TestMetaCPU) ... ok (1.467s) 2022-12-01T10:23:49.3994509Z test_meta_searchsorted_cpu_uint8 (__main__.TestMetaCPU) ... ok (1.582s) 2022-12-01T10:23:49.3994654Z test_meta_segment_reduce_lengths_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.303s) 2022-12-01T10:23:49.3994785Z test_meta_segment_reduce_lengths_cpu_float16 (__main__.TestMetaCPU) ... ok (0.303s) 2022-12-01T10:23:49.3994922Z test_meta_segment_reduce_lengths_cpu_float32 (__main__.TestMetaCPU) ... ok (0.304s) 2022-12-01T10:23:49.3995056Z test_meta_segment_reduce_lengths_cpu_float64 (__main__.TestMetaCPU) ... ok (0.306s) 2022-12-01T10:23:49.3995202Z test_meta_segment_reduce_offsets_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.303s) 2022-12-01T10:23:49.3995344Z test_meta_segment_reduce_offsets_cpu_float16 (__main__.TestMetaCPU) ... ok (0.303s) 2022-12-01T10:23:49.3995482Z test_meta_segment_reduce_offsets_cpu_float32 (__main__.TestMetaCPU) ... ok (0.304s) 2022-12-01T10:23:49.3995617Z test_meta_segment_reduce_offsets_cpu_float64 (__main__.TestMetaCPU) ... ok (0.306s) 2022-12-01T10:23:49.3995747Z test_meta_select_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3995856Z test_meta_select_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3995985Z test_meta_select_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996112Z test_meta_select_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996239Z test_meta_select_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996364Z test_meta_select_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996486Z test_meta_select_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996603Z test_meta_select_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996723Z test_meta_select_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996830Z test_meta_select_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3996972Z test_meta_select_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3997091Z test_meta_select_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3997208Z test_meta_select_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3997343Z test_meta_select_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3997471Z test_meta_select_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3997605Z test_meta_select_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3997775Z test_meta_select_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3997895Z test_meta_select_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.3998023Z test_meta_select_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3998151Z test_meta_select_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3998279Z test_meta_select_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3998407Z test_meta_select_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3998532Z test_meta_select_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.3998653Z test_meta_sgn_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3998770Z test_meta_sgn_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3998882Z test_meta_sgn_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999008Z test_meta_sgn_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999131Z test_meta_sgn_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999249Z test_meta_sgn_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999364Z test_meta_sgn_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999479Z test_meta_sgn_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999597Z test_meta_sgn_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999703Z test_meta_sgn_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999820Z test_meta_sgn_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.3999935Z test_meta_sgn_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4000048Z test_meta_sgn_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4000175Z test_meta_short_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4000297Z test_meta_short_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4000425Z test_meta_short_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4000552Z test_meta_short_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4000663Z test_meta_short_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4000787Z test_meta_short_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4000906Z test_meta_short_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4001024Z test_meta_short_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4001139Z test_meta_short_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4001251Z test_meta_short_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4001368Z test_meta_short_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4001487Z test_meta_short_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4001604Z test_meta_sigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4001724Z test_meta_sigmoid_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4001853Z test_meta_sigmoid_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002006Z test_meta_sigmoid_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002133Z test_meta_sigmoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002259Z test_meta_sigmoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002381Z test_meta_sigmoid_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002500Z test_meta_sigmoid_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002607Z test_meta_sigmoid_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002726Z test_meta_sigmoid_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002871Z test_meta_sigmoid_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4002992Z test_meta_sign_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003109Z test_meta_sign_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003228Z test_meta_sign_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003347Z test_meta_sign_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003453Z test_meta_sign_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003569Z test_meta_sign_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003686Z test_meta_sign_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003801Z test_meta_sign_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4003941Z test_meta_sign_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004054Z test_meta_sign_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004183Z test_meta_signbit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004304Z test_meta_signbit_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004417Z test_meta_signbit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004545Z test_meta_signbit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004668Z test_meta_signbit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004793Z test_meta_signbit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4004914Z test_meta_signbit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005031Z test_meta_signbit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005154Z test_meta_signbit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005274Z test_meta_signbit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005383Z test_meta_sin_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005502Z test_meta_sin_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005627Z test_meta_sin_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005749Z test_meta_sin_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005870Z test_meta_sin_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4005987Z test_meta_sin_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4006103Z test_meta_sin_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4006217Z test_meta_sin_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4006320Z test_meta_sin_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4006438Z test_meta_sin_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4006554Z test_meta_sin_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4006679Z test_meta_sinc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4006798Z test_meta_sinc_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4006922Z test_meta_sinc_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4007216Z test_meta_sinc_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4007325Z test_meta_sinc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4007443Z test_meta_sinc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4007561Z test_meta_sinc_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4007679Z test_meta_sinc_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4007798Z test_meta_sinc_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4007914Z test_meta_sinc_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4008072Z test_meta_sinc_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4008198Z test_meta_sinh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4008303Z test_meta_sinh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4008445Z test_meta_sinh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4008571Z test_meta_sinh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4008691Z test_meta_sinh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4008812Z test_meta_sinh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4008927Z test_meta_sinh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4009049Z test_meta_sinh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4009165Z test_meta_sinh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4009270Z test_meta_sinh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4009387Z test_meta_sinh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4009517Z test_meta_slice_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4009634Z test_meta_slice_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4009763Z test_meta_slice_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4009893Z test_meta_slice_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4010018Z test_meta_slice_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4010129Z test_meta_slice_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4010249Z test_meta_slice_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4010367Z test_meta_slice_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4010493Z test_meta_slice_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4010612Z test_meta_slice_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4010727Z test_meta_slice_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4010845Z test_meta_slice_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4010965Z test_meta_slice_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4011089Z test_meta_slice_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4011277Z test_meta_slice_scatter_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4011416Z test_meta_slice_scatter_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4011549Z test_meta_slice_scatter_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4011681Z test_meta_slice_scatter_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4011812Z test_meta_slice_scatter_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4011944Z test_meta_slice_scatter_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4012067Z test_meta_slice_scatter_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4012182Z test_meta_slice_scatter_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4012312Z test_meta_slice_scatter_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4012479Z test_meta_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4012604Z test_meta_softmax_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4012728Z test_meta_softmax_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4012870Z test_meta_softmax_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013005Z test_meta_softmax_with_dtype_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013147Z test_meta_softmax_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013304Z test_meta_softmax_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013440Z test_meta_softmax_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013578Z test_meta_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013715Z test_meta_softmax_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013850Z test_meta_softmax_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4013986Z test_meta_softmax_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4014123Z test_meta_softmax_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4014258Z test_meta_softmax_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4014379Z test_meta_softmax_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4014502Z test_meta_sort_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.4014624Z test_meta_sort_cpu_bool (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.4014746Z test_meta_sort_cpu_float16 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.4014866Z test_meta_sort_cpu_float32 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.4014983Z test_meta_sort_cpu_float64 (__main__.TestMetaCPU) ... ok (0.018s) 2022-12-01T10:23:49.4015101Z test_meta_sort_cpu_int16 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.4015217Z test_meta_sort_cpu_int32 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.4015322Z test_meta_sort_cpu_int64 (__main__.TestMetaCPU) ... ok (0.019s) 2022-12-01T10:23:49.4015438Z test_meta_sort_cpu_int8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.4015556Z test_meta_sort_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.4015703Z test_meta_sparse_sampled_addmm_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4015852Z test_meta_sparse_sampled_addmm_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4015996Z test_meta_sparse_sampled_addmm_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4016134Z test_meta_sparse_sampled_addmm_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4016266Z test_meta_special_airy_ai_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4016388Z test_meta_special_airy_ai_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4016522Z test_meta_special_airy_ai_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4016659Z test_meta_special_airy_ai_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4016789Z test_meta_special_airy_ai_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4016915Z test_meta_special_airy_ai_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017047Z test_meta_special_airy_ai_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017174Z test_meta_special_airy_ai_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017305Z test_meta_special_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017431Z test_meta_special_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017604Z test_meta_special_bessel_j0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017737Z test_meta_special_bessel_j0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017868Z test_meta_special_bessel_j0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4017998Z test_meta_special_bessel_j0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4018128Z test_meta_special_bessel_j0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4018258Z test_meta_special_bessel_j0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4018416Z test_meta_special_bessel_j1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4018539Z test_meta_special_bessel_j1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4018673Z test_meta_special_bessel_j1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4018807Z test_meta_special_bessel_j1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4018939Z test_meta_special_bessel_j1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019070Z test_meta_special_bessel_j1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019203Z test_meta_special_bessel_j1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019330Z test_meta_special_bessel_j1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019462Z test_meta_special_bessel_y0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019587Z test_meta_special_bessel_y0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019720Z test_meta_special_bessel_y0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019852Z test_meta_special_bessel_y0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4019984Z test_meta_special_bessel_y0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4020116Z test_meta_special_bessel_y0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4020246Z test_meta_special_bessel_y0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4020377Z test_meta_special_bessel_y0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4020509Z test_meta_special_bessel_y1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4020630Z test_meta_special_bessel_y1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4020765Z test_meta_special_bessel_y1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4020899Z test_meta_special_bessel_y1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4021031Z test_meta_special_bessel_y1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4021159Z test_meta_special_bessel_y1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4021296Z test_meta_special_bessel_y1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4021423Z test_meta_special_bessel_y1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4021575Z test_meta_special_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4021729Z test_meta_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4021870Z test_meta_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4022024Z test_meta_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4022176Z test_meta_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4022322Z test_meta_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4022469Z test_meta_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4022640Z test_meta_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4022784Z test_meta_special_chebyshev_polynomial_u_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4022934Z test_meta_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4023073Z test_meta_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4023218Z test_meta_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4023390Z test_meta_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4023535Z test_meta_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4023682Z test_meta_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4023828Z test_meta_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4024271Z test_meta_special_chebyshev_polynomial_v_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4024603Z test_meta_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4024931Z test_meta_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4025252Z test_meta_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4025562Z test_meta_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4025885Z test_meta_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4026205Z test_meta_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4026519Z test_meta_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4026841Z test_meta_special_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4027163Z test_meta_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4027481Z test_meta_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4027797Z test_meta_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4028117Z test_meta_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4028427Z test_meta_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4028746Z test_meta_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4029046Z test_meta_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4029230Z test_meta_special_entr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4029364Z test_meta_special_entr_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4029494Z test_meta_special_entr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4029625Z test_meta_special_entr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4029752Z test_meta_special_entr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4029878Z test_meta_special_entr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4030005Z test_meta_special_entr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4030164Z test_meta_special_entr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4030294Z test_meta_special_entr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4030422Z test_meta_special_erfcx_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4030560Z test_meta_special_erfcx_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4030692Z test_meta_special_erfcx_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4030822Z test_meta_special_erfcx_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4030949Z test_meta_special_erfcx_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4031076Z test_meta_special_erfcx_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4031191Z test_meta_special_erfcx_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4031319Z test_meta_special_erfcx_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4031470Z test_meta_special_hermite_polynomial_h_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4031621Z test_meta_special_hermite_polynomial_h_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4031768Z test_meta_special_hermite_polynomial_h_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4031916Z test_meta_special_hermite_polynomial_h_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4032065Z test_meta_special_hermite_polynomial_h_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4032210Z test_meta_special_hermite_polynomial_h_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4032355Z test_meta_special_hermite_polynomial_h_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4032487Z test_meta_special_hermite_polynomial_h_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4032635Z test_meta_special_hermite_polynomial_he_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4032787Z test_meta_special_hermite_polynomial_he_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4032935Z test_meta_special_hermite_polynomial_he_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4033086Z test_meta_special_hermite_polynomial_he_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4033231Z test_meta_special_hermite_polynomial_he_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4033374Z test_meta_special_hermite_polynomial_he_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4033519Z test_meta_special_hermite_polynomial_he_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4033656Z test_meta_special_hermite_polynomial_he_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4033789Z test_meta_special_i0e_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4033917Z test_meta_special_i0e_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034046Z test_meta_special_i0e_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034173Z test_meta_special_i0e_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034329Z test_meta_special_i0e_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034454Z test_meta_special_i0e_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034579Z test_meta_special_i0e_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034693Z test_meta_special_i0e_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034818Z test_meta_special_i0e_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4034944Z test_meta_special_i1_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035071Z test_meta_special_i1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035235Z test_meta_special_i1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035361Z test_meta_special_i1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035486Z test_meta_special_i1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035610Z test_meta_special_i1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035725Z test_meta_special_i1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035847Z test_meta_special_i1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4035971Z test_meta_special_i1e_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036099Z test_meta_special_i1e_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036225Z test_meta_special_i1e_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036349Z test_meta_special_i1e_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036477Z test_meta_special_i1e_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036601Z test_meta_special_i1e_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036713Z test_meta_special_i1e_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036834Z test_meta_special_i1e_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4036991Z test_meta_special_laguerre_polynomial_l_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4037141Z test_meta_special_laguerre_polynomial_l_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4037295Z test_meta_special_laguerre_polynomial_l_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4037443Z test_meta_special_laguerre_polynomial_l_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4037591Z test_meta_special_laguerre_polynomial_l_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4037736Z test_meta_special_laguerre_polynomial_l_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4037871Z test_meta_special_laguerre_polynomial_l_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4038019Z test_meta_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4038352Z test_meta_special_legendre_polynomial_p_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4038677Z test_meta_special_legendre_polynomial_p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4038998Z test_meta_special_legendre_polynomial_p_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4039316Z test_meta_special_legendre_polynomial_p_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4039641Z test_meta_special_legendre_polynomial_p_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4039959Z test_meta_special_legendre_polynomial_p_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4040303Z test_meta_special_legendre_polynomial_p_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4040623Z test_meta_special_legendre_polynomial_p_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4040760Z test_meta_special_log_ndtr_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4040886Z test_meta_special_log_ndtr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041045Z test_meta_special_log_ndtr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041180Z test_meta_special_log_ndtr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041311Z test_meta_special_log_ndtr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041440Z test_meta_special_log_ndtr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041577Z test_meta_special_log_ndtr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041705Z test_meta_special_log_ndtr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041850Z test_meta_special_modified_bessel_i0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4041984Z test_meta_special_modified_bessel_i0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4042130Z test_meta_special_modified_bessel_i0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4042275Z test_meta_special_modified_bessel_i0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4042422Z test_meta_special_modified_bessel_i0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4042565Z test_meta_special_modified_bessel_i0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4042708Z test_meta_special_modified_bessel_i0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4042851Z test_meta_special_modified_bessel_i0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4042993Z test_meta_special_modified_bessel_i1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4043125Z test_meta_special_modified_bessel_i1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4043269Z test_meta_special_modified_bessel_i1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4043406Z test_meta_special_modified_bessel_i1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4043549Z test_meta_special_modified_bessel_i1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4043689Z test_meta_special_modified_bessel_i1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4043833Z test_meta_special_modified_bessel_i1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4043973Z test_meta_special_modified_bessel_i1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4044116Z test_meta_special_modified_bessel_k0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4044256Z test_meta_special_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4044389Z test_meta_special_modified_bessel_k0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4044530Z test_meta_special_modified_bessel_k0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4044670Z test_meta_special_modified_bessel_k0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4044813Z test_meta_special_modified_bessel_k0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4044956Z test_meta_special_modified_bessel_k0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4045092Z test_meta_special_modified_bessel_k0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4045259Z test_meta_special_modified_bessel_k1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4045399Z test_meta_special_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4045530Z test_meta_special_modified_bessel_k1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4045667Z test_meta_special_modified_bessel_k1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4045805Z test_meta_special_modified_bessel_k1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4045943Z test_meta_special_modified_bessel_k1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4046108Z test_meta_special_modified_bessel_k1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4046247Z test_meta_special_modified_bessel_k1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4046381Z test_meta_special_ndtr_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4046513Z test_meta_special_ndtr_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4046630Z test_meta_special_ndtr_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4046761Z test_meta_special_ndtr_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4046889Z test_meta_special_ndtr_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4047150Z test_meta_special_ndtr_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4047279Z test_meta_special_ndtr_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4047409Z test_meta_special_ndtr_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4047538Z test_meta_special_ndtr_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4047667Z test_meta_special_ndtri_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4047789Z test_meta_special_ndtri_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4047927Z test_meta_special_ndtri_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4048058Z test_meta_special_ndtri_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4048187Z test_meta_special_ndtri_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4048313Z test_meta_special_ndtri_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4048440Z test_meta_special_ndtri_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4048571Z test_meta_special_ndtri_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4048742Z test_meta_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4048907Z test_meta_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4049061Z test_meta_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4049230Z test_meta_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4049390Z test_meta_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4049548Z test_meta_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4049701Z test_meta_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4049861Z test_meta_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4050016Z test_meta_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4050169Z test_meta_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4050313Z test_meta_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4050515Z test_meta_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4050666Z test_meta_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4050818Z test_meta_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4050967Z test_meta_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4051114Z test_meta_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4051381Z test_meta_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4051537Z test_meta_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4051694Z test_meta_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4051836Z test_meta_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4051985Z test_meta_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4052137Z test_meta_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4052288Z test_meta_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4052440Z test_meta_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4052591Z test_meta_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4052944Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4053288Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4053621Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4053952Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4054270Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4054607Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4054939Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4055271Z test_meta_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4055598Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4055933Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4056267Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4056593Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4056954Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4057280Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4057606Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4057958Z test_meta_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4058276Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4058608Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4058939Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4059266Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4059596Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4059921Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4060248Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4060577Z test_meta_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4060906Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4061236Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4061564Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4061888Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4062204Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4062531Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4062857Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4063183Z test_meta_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:23:49.4063334Z test_meta_special_spherical_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4063484Z test_meta_special_spherical_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4063630Z test_meta_special_spherical_bessel_j0_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4063806Z test_meta_special_spherical_bessel_j0_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4063949Z test_meta_special_spherical_bessel_j0_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4064092Z test_meta_special_spherical_bessel_j0_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4064224Z test_meta_special_spherical_bessel_j0_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4064369Z test_meta_special_spherical_bessel_j0_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4064532Z test_meta_special_xlog1py_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4064670Z test_meta_special_xlog1py_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4064807Z test_meta_special_xlog1py_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4064944Z test_meta_special_xlog1py_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4065082Z test_meta_special_xlog1py_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4065216Z test_meta_special_xlog1py_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4065335Z test_meta_special_xlog1py_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4065465Z test_meta_special_xlog1py_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4065598Z test_meta_special_xlog1py_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4065725Z test_meta_special_xlog1py_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4065856Z test_meta_special_zeta_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4065988Z test_meta_special_zeta_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4066119Z test_meta_special_zeta_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4066248Z test_meta_special_zeta_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4066362Z test_meta_special_zeta_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4066490Z test_meta_special_zeta_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4066615Z test_meta_special_zeta_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4066741Z test_meta_special_zeta_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4066865Z test_meta_split_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4066983Z test_meta_split_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067114Z test_meta_split_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067241Z test_meta_split_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067358Z test_meta_split_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067481Z test_meta_split_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067605Z test_meta_split_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067722Z test_meta_split_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067843Z test_meta_split_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4067962Z test_meta_split_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4068081Z test_meta_split_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4068187Z test_meta_split_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4068309Z test_meta_split_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4068444Z test_meta_split_list_args_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4068575Z test_meta_split_list_args_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4068717Z test_meta_split_list_args_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4068882Z test_meta_split_list_args_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4069015Z test_meta_split_list_args_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4069148Z test_meta_split_list_args_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4069268Z test_meta_split_list_args_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4069401Z test_meta_split_list_args_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4069532Z test_meta_split_list_args_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4069685Z test_meta_split_list_args_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4069817Z test_meta_split_list_args_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4069943Z test_meta_split_list_args_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4070081Z test_meta_split_with_sizes_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4070209Z test_meta_split_with_sizes_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4070337Z test_meta_split_with_sizes_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4070478Z test_meta_split_with_sizes_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4070614Z test_meta_split_with_sizes_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4070746Z test_meta_split_with_sizes_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4070881Z test_meta_split_with_sizes_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4071017Z test_meta_split_with_sizes_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4071150Z test_meta_split_with_sizes_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4071283Z test_meta_split_with_sizes_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4071402Z test_meta_split_with_sizes_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4071535Z test_meta_split_with_sizes_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4071661Z test_meta_split_with_sizes_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4071784Z test_meta_sqrt_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4071903Z test_meta_sqrt_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072028Z test_meta_sqrt_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072155Z test_meta_sqrt_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072277Z test_meta_sqrt_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072385Z test_meta_sqrt_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072503Z test_meta_sqrt_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072621Z test_meta_sqrt_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072737Z test_meta_sqrt_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072854Z test_meta_sqrt_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4072970Z test_meta_sqrt_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4073095Z test_meta_square_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4073218Z test_meta_square_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4073336Z test_meta_square_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4073465Z test_meta_square_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4073590Z test_meta_square_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4073710Z test_meta_square_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4073859Z test_meta_square_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4073978Z test_meta_square_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4074096Z test_meta_square_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4074213Z test_meta_square_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4074322Z test_meta_square_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4074440Z test_meta_square_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4074568Z test_meta_squeeze_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4074727Z test_meta_squeeze_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4074859Z test_meta_squeeze_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4074986Z test_meta_squeeze_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4075116Z test_meta_squeeze_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4075242Z test_meta_squeeze_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4075354Z test_meta_squeeze_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4075476Z test_meta_squeeze_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4075599Z test_meta_squeeze_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4075720Z test_meta_squeeze_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4075836Z test_meta_squeeze_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4075957Z test_meta_squeeze_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4076077Z test_meta_squeeze_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4076190Z test_meta_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4076310Z test_meta_stack_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4076440Z test_meta_stack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4076563Z test_meta_stack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4076690Z test_meta_stack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4076814Z test_meta_stack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4076936Z test_meta_stack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4077054Z test_meta_stack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4077162Z test_meta_stack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4077282Z test_meta_stack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4077401Z test_meta_stack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4077518Z test_meta_stack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4077635Z test_meta_stack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4077756Z test_meta_std_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4077885Z test_meta_std_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4078010Z test_meta_std_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4078118Z test_meta_std_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4078232Z test_meta_std_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4078348Z test_meta_std_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4078476Z test_meta_std_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4078607Z test_meta_std_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4078732Z test_meta_std_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4078858Z test_meta_std_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4079011Z test_meta_std_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4079123Z test_meta_std_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4079247Z test_meta_stft_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4079371Z test_meta_stft_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4079491Z test_meta_stft_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4079610Z test_meta_stft_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4079725Z test_meta_sub_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.4079875Z test_meta_sub_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.4080002Z test_meta_sub_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.4080113Z test_meta_sub_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.011s) 2022-12-01T10:23:49.4080234Z test_meta_sub_cpu_float16 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.4080349Z test_meta_sub_cpu_float32 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.4080464Z test_meta_sub_cpu_float64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.4080581Z test_meta_sub_cpu_int16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4080699Z test_meta_sub_cpu_int32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4080815Z test_meta_sub_cpu_int64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4080919Z test_meta_sub_cpu_int8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4081036Z test_meta_sub_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4081158Z test_meta_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4081273Z test_meta_sum_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4081399Z test_meta_sum_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4081524Z test_meta_sum_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4081643Z test_meta_sum_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4081759Z test_meta_sum_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4081861Z test_meta_sum_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4081979Z test_meta_sum_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4082096Z test_meta_sum_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4082212Z test_meta_sum_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4082329Z test_meta_sum_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4082445Z test_meta_sum_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4082575Z test_meta_sum_to_size_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4082701Z test_meta_sum_to_size_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4082823Z test_meta_sum_to_size_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4082952Z test_meta_sum_to_size_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4083080Z test_meta_sum_to_size_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4083205Z test_meta_sum_to_size_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4083328Z test_meta_sum_to_size_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4083453Z test_meta_sum_to_size_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4083578Z test_meta_sum_to_size_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4083702Z test_meta_sum_to_size_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4083814Z test_meta_sum_to_size_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4083936Z test_meta_sum_to_size_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4084094Z test_meta_svd_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.046s) 2022-12-01T10:23:49.4084217Z test_meta_svd_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.047s) 2022-12-01T10:23:49.4084334Z test_meta_svd_cpu_float32 (__main__.TestMetaCPU) ... ok (0.106s) 2022-12-01T10:23:49.4084452Z test_meta_svd_cpu_float64 (__main__.TestMetaCPU) ... ok (0.105s) 2022-12-01T10:23:49.4084580Z test_meta_svd_lowrank_cpu_float32 (__main__.TestMetaCPU) ... ok (1.231s) 2022-12-01T10:23:49.4084706Z test_meta_svd_lowrank_cpu_float64 (__main__.TestMetaCPU) ... ok (1.227s) 2022-12-01T10:23:49.4084846Z test_meta_symeig_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.4084977Z test_meta_symeig_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.4085098Z test_meta_symeig_cpu_float32 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.4085220Z test_meta_symeig_cpu_float64 (__main__.TestMetaCPU) ... ok (0.038s) 2022-12-01T10:23:49.4085339Z test_meta_t_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4085454Z test_meta_t_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4085578Z test_meta_t_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4085687Z test_meta_t_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4085805Z test_meta_t_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4085921Z test_meta_t_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086035Z test_meta_t_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086152Z test_meta_t_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086266Z test_meta_t_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086380Z test_meta_t_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086495Z test_meta_t_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086598Z test_meta_t_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086734Z test_meta_take_along_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4086865Z test_meta_take_along_dim_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4087137Z test_meta_take_along_dim_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4087273Z test_meta_take_along_dim_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4087407Z test_meta_take_along_dim_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4087542Z test_meta_take_along_dim_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4087671Z test_meta_take_along_dim_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4087788Z test_meta_take_along_dim_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4087916Z test_meta_take_along_dim_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4088047Z test_meta_take_along_dim_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4088174Z test_meta_take_along_dim_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4088302Z test_meta_take_along_dim_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4088431Z test_meta_take_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.4088548Z test_meta_take_cpu_bool (__main__.TestMetaCPU) ... ok (0.072s) 2022-12-01T10:23:49.4088676Z test_meta_take_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.4088792Z test_meta_take_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.4088914Z test_meta_take_cpu_float16 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.4089034Z test_meta_take_cpu_float32 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.4089149Z test_meta_take_cpu_float64 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.4089313Z test_meta_take_cpu_int16 (__main__.TestMetaCPU) ... ok (0.072s) 2022-12-01T10:23:49.4089431Z test_meta_take_cpu_int32 (__main__.TestMetaCPU) ... ok (0.072s) 2022-12-01T10:23:49.4089548Z test_meta_take_cpu_int64 (__main__.TestMetaCPU) ... ok (0.072s) 2022-12-01T10:23:49.4089667Z test_meta_take_cpu_int8 (__main__.TestMetaCPU) ... ok (0.072s) 2022-12-01T10:23:49.4089772Z test_meta_take_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.073s) 2022-12-01T10:23:49.4089895Z test_meta_tan_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090013Z test_meta_tan_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090173Z test_meta_tan_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090302Z test_meta_tan_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090421Z test_meta_tan_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090539Z test_meta_tan_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090645Z test_meta_tan_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090762Z test_meta_tan_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090876Z test_meta_tan_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4090993Z test_meta_tan_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4091111Z test_meta_tan_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4091310Z test_meta_tanh_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4091429Z test_meta_tanh_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4091559Z test_meta_tanh_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4091672Z test_meta_tanh_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4091796Z test_meta_tanh_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4091917Z test_meta_tanh_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4092034Z test_meta_tanh_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4092150Z test_meta_tanh_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4092267Z test_meta_tanh_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4092383Z test_meta_tanh_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4092499Z test_meta_tanh_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4092620Z test_meta_tensor_split_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4092752Z test_meta_tensor_split_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4092889Z test_meta_tensor_split_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4093025Z test_meta_tensor_split_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4093156Z test_meta_tensor_split_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4093289Z test_meta_tensor_split_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4093416Z test_meta_tensor_split_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4093543Z test_meta_tensor_split_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4093657Z test_meta_tensor_split_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4093785Z test_meta_tensor_split_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4093913Z test_meta_tensor_split_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4094042Z test_meta_tensor_split_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4094170Z test_meta_tensordot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4094300Z test_meta_tensordot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4094465Z test_meta_tensordot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4094593Z test_meta_tensordot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4094708Z test_meta_tensordot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4094835Z test_meta_tensordot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4094961Z test_meta_tensordot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4095085Z test_meta_tensordot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4095211Z test_meta_tensordot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4095366Z test_meta_tensordot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4095490Z test_meta_tile_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.4095596Z test_meta_tile_cpu_bool (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.4095718Z test_meta_tile_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.4095844Z test_meta_tile_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.017s) 2022-12-01T10:23:49.4095965Z test_meta_tile_cpu_float16 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.4096083Z test_meta_tile_cpu_float32 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.4096200Z test_meta_tile_cpu_float64 (__main__.TestMetaCPU) ... ok (0.016s) 2022-12-01T10:23:49.4096318Z test_meta_tile_cpu_int16 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.4096437Z test_meta_tile_cpu_int32 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.4096542Z test_meta_tile_cpu_int64 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.4096662Z test_meta_tile_cpu_int8 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.4096778Z test_meta_tile_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.015s) 2022-12-01T10:23:49.4096917Z test_meta_to_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097052Z test_meta_to_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097190Z test_meta_to_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097326Z test_meta_to_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097460Z test_meta_to_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097581Z test_meta_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097711Z test_meta_to_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097844Z test_meta_to_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4097974Z test_meta_to_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4098102Z test_meta_to_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4098232Z test_meta_to_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4098360Z test_meta_to_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:23:49.4098492Z test_meta_to_sparse_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4098605Z test_meta_to_sparse_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4098733Z test_meta_to_sparse_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4098863Z test_meta_to_sparse_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4098989Z test_meta_to_sparse_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099116Z test_meta_to_sparse_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099241Z test_meta_to_sparse_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099366Z test_meta_to_sparse_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099488Z test_meta_to_sparse_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099627Z test_meta_to_sparse_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099750Z test_meta_to_sparse_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099871Z test_meta_to_sparse_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4099995Z test_meta_topk_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100117Z test_meta_topk_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100238Z test_meta_topk_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100356Z test_meta_topk_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100499Z test_meta_topk_cpu_int32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100604Z test_meta_topk_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100723Z test_meta_topk_cpu_int8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100840Z test_meta_topk_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4100969Z test_meta_trace_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4101095Z test_meta_trace_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4101217Z test_meta_trace_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4101337Z test_meta_trace_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4101456Z test_meta_trace_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4101561Z test_meta_trace_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4101679Z test_meta_trace_cpu_int64 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4101797Z test_meta_trace_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4101915Z test_meta_trace_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4102045Z test_meta_transpose_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4102172Z test_meta_transpose_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4102305Z test_meta_transpose_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4102422Z test_meta_transpose_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4102553Z test_meta_transpose_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4102678Z test_meta_transpose_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4102804Z test_meta_transpose_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4102932Z test_meta_transpose_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4103054Z test_meta_transpose_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4103180Z test_meta_transpose_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4103305Z test_meta_transpose_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4103419Z test_meta_transpose_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4103545Z test_meta_transpose_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4103677Z test_meta_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4103808Z test_meta_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4103938Z test_meta_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4104065Z test_meta_trapezoid_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4104194Z test_meta_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4104321Z test_meta_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4104435Z test_meta_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4104558Z test_meta_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4104717Z test_meta_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4104840Z test_meta_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4104962Z test_meta_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4105086Z test_meta_trapz_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4105213Z test_meta_trapz_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4105337Z test_meta_trapz_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4105449Z test_meta_trapz_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4105598Z test_meta_trapz_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4105721Z test_meta_trapz_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4105841Z test_meta_trapz_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4105959Z test_meta_trapz_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4106076Z test_meta_trapz_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4106194Z test_meta_trapz_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4106313Z test_meta_trapz_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4106443Z test_meta_triangular_solve_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4106585Z test_meta_triangular_solve_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4106723Z test_meta_triangular_solve_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4106863Z test_meta_triangular_solve_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4106984Z test_meta_tril_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4107101Z test_meta_tril_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4107227Z test_meta_tril_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4107350Z test_meta_tril_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4107458Z test_meta_tril_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4107575Z test_meta_tril_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4107691Z test_meta_tril_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4107808Z test_meta_tril_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4107923Z test_meta_tril_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4108045Z test_meta_tril_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4108161Z test_meta_tril_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4108266Z test_meta_tril_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4108393Z test_meta_tril_indices_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4108522Z test_meta_tril_indices_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4108646Z test_meta_triu_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4108762Z test_meta_triu_cpu_bool (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4108888Z test_meta_triu_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4109013Z test_meta_triu_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4109132Z test_meta_triu_cpu_float16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4109238Z test_meta_triu_cpu_float32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4109356Z test_meta_triu_cpu_float64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4109475Z test_meta_triu_cpu_int16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4109592Z test_meta_triu_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4109708Z test_meta_triu_cpu_int64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4109853Z test_meta_triu_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4109971Z test_meta_triu_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4110097Z test_meta_triu_indices_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4110211Z test_meta_triu_indices_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4110343Z test_meta_true_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4110472Z test_meta_true_divide_cpu_bool (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4110665Z test_meta_true_divide_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.4110797Z test_meta_true_divide_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.010s) 2022-12-01T10:23:49.4110929Z test_meta_true_divide_cpu_float16 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4111058Z test_meta_true_divide_cpu_float32 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4111187Z test_meta_true_divide_cpu_float64 (__main__.TestMetaCPU) ... ok (0.009s) 2022-12-01T10:23:49.4111303Z test_meta_true_divide_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4111429Z test_meta_true_divide_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4111556Z test_meta_true_divide_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4111683Z test_meta_true_divide_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4111808Z test_meta_true_divide_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4111936Z test_meta_trunc_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112062Z test_meta_trunc_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112184Z test_meta_trunc_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112292Z test_meta_trunc_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112411Z test_meta_trunc_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112526Z test_meta_trunc_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112644Z test_meta_trunc_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112763Z test_meta_trunc_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4112888Z test_meta_unbind_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4113008Z test_meta_unbind_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4113134Z test_meta_unbind_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4113251Z test_meta_unbind_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4113382Z test_meta_unbind_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4113507Z test_meta_unbind_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4113629Z test_meta_unbind_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4113749Z test_meta_unbind_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4113870Z test_meta_unbind_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4113987Z test_meta_unbind_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4114091Z test_meta_unbind_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4114209Z test_meta_unbind_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4114324Z test_meta_unbind_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4114454Z test_meta_unflatten_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4114579Z test_meta_unflatten_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4114710Z test_meta_unflatten_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4114842Z test_meta_unflatten_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4115001Z test_meta_unflatten_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4115118Z test_meta_unflatten_cpu_float16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4115243Z test_meta_unflatten_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4115371Z test_meta_unflatten_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4115495Z test_meta_unflatten_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4115619Z test_meta_unflatten_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4115765Z test_meta_unflatten_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4115890Z test_meta_unflatten_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4116014Z test_meta_unflatten_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4116126Z test_meta_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4116246Z test_meta_unfold_cpu_bool (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4116372Z test_meta_unfold_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4116501Z test_meta_unfold_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4116627Z test_meta_unfold_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4116745Z test_meta_unfold_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4116871Z test_meta_unfold_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4117003Z test_meta_unfold_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4117126Z test_meta_unfold_cpu_int16 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4117232Z test_meta_unfold_cpu_int32 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4117347Z test_meta_unfold_cpu_int64 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4117468Z test_meta_unfold_cpu_int8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4117585Z test_meta_unfold_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.006s) 2022-12-01T10:23:49.4117713Z test_meta_uniform_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4117843Z test_meta_uniform_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4117971Z test_meta_uniform_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4118098Z test_meta_uniform_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4118209Z test_meta_uniform_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4118336Z test_meta_uniform_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4118478Z test_meta_unique_consecutive_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.805s) 2022-12-01T10:23:49.4118614Z test_meta_unique_consecutive_cpu_bool (__main__.TestMetaCPU) ... ok (0.800s) 2022-12-01T10:23:49.4118755Z test_meta_unique_consecutive_cpu_float32 (__main__.TestMetaCPU) ... ok (0.806s) 2022-12-01T10:23:49.4118893Z test_meta_unique_consecutive_cpu_float64 (__main__.TestMetaCPU) ... ok (0.805s) 2022-12-01T10:23:49.4119030Z test_meta_unique_consecutive_cpu_int16 (__main__.TestMetaCPU) ... ok (0.801s) 2022-12-01T10:23:49.4119165Z test_meta_unique_consecutive_cpu_int32 (__main__.TestMetaCPU) ... ok (0.801s) 2022-12-01T10:23:49.4119288Z test_meta_unique_consecutive_cpu_int64 (__main__.TestMetaCPU) ... ok (0.801s) 2022-12-01T10:23:49.4119424Z test_meta_unique_consecutive_cpu_int8 (__main__.TestMetaCPU) ... ok (0.802s) 2022-12-01T10:23:49.4119560Z test_meta_unique_consecutive_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.801s) 2022-12-01T10:23:49.4119685Z test_meta_unique_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (1.607s) 2022-12-01T10:23:49.4119808Z test_meta_unique_cpu_bool (__main__.TestMetaCPU) ... ok (1.602s) 2022-12-01T10:23:49.4119932Z test_meta_unique_cpu_float32 (__main__.TestMetaCPU) ... ok (1.611s) 2022-12-01T10:23:49.4120087Z test_meta_unique_cpu_float64 (__main__.TestMetaCPU) ... ok (1.610s) 2022-12-01T10:23:49.4120208Z test_meta_unique_cpu_int16 (__main__.TestMetaCPU) ... ok (1.609s) 2022-12-01T10:23:49.4120314Z test_meta_unique_cpu_int32 (__main__.TestMetaCPU) ... ok (1.609s) 2022-12-01T10:23:49.4120430Z test_meta_unique_cpu_int64 (__main__.TestMetaCPU) ... ok (1.611s) 2022-12-01T10:23:49.4120549Z test_meta_unique_cpu_int8 (__main__.TestMetaCPU) ... ok (1.605s) 2022-12-01T10:23:49.4120666Z test_meta_unique_cpu_uint8 (__main__.TestMetaCPU) ... ok (1.607s) 2022-12-01T10:23:49.4120797Z test_meta_unsqueeze_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4120947Z test_meta_unsqueeze_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4121080Z test_meta_unsqueeze_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4121210Z test_meta_unsqueeze_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4121329Z test_meta_unsqueeze_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4121454Z test_meta_unsqueeze_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4121582Z test_meta_unsqueeze_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4121708Z test_meta_unsqueeze_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4121835Z test_meta_unsqueeze_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4121958Z test_meta_unsqueeze_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4122082Z test_meta_unsqueeze_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4122207Z test_meta_unsqueeze_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4122319Z test_meta_unsqueeze_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4122441Z test_meta_var_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4122569Z test_meta_var_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4122692Z test_meta_var_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4122812Z test_meta_var_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4122928Z test_meta_var_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4123042Z test_meta_var_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4123157Z test_meta_var_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4123288Z test_meta_var_mean_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4123418Z test_meta_var_mean_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4123546Z test_meta_var_mean_cpu_float16 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4123671Z test_meta_var_mean_cpu_float32 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4123798Z test_meta_var_mean_cpu_float64 (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4123920Z test_meta_vdot_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4124044Z test_meta_vdot_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4124158Z test_meta_vdot_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4124280Z test_meta_vdot_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4124398Z test_meta_vdot_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4124517Z test_meta_vdot_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4124639Z test_meta_vdot_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4124757Z test_meta_vdot_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4124874Z test_meta_vdot_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4124990Z test_meta_vdot_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4125138Z test_meta_view_as_complex_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4125273Z test_meta_view_as_complex_cpu_float32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4125406Z test_meta_view_as_complex_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4125531Z test_meta_view_as_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4125652Z test_meta_view_as_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4125780Z test_meta_view_as_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4125934Z test_meta_view_as_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126063Z test_meta_view_as_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126176Z test_meta_view_as_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126300Z test_meta_view_as_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126427Z test_meta_view_as_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126549Z test_meta_view_as_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126668Z test_meta_view_as_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126785Z test_meta_view_as_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4126905Z test_meta_view_as_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4127131Z test_meta_view_as_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4127253Z test_meta_view_as_real_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4127389Z test_meta_view_as_real_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4127513Z test_meta_view_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4127636Z test_meta_view_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4127766Z test_meta_view_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4127891Z test_meta_view_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4128015Z test_meta_view_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4128138Z test_meta_view_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4128244Z test_meta_view_cpu_float32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4128360Z test_meta_view_cpu_float64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4128479Z test_meta_view_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4128600Z test_meta_view_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4128719Z test_meta_view_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4128838Z test_meta_view_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4128955Z test_meta_view_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4129069Z test_meta_vsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4129190Z test_meta_vsplit_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4129320Z test_meta_vsplit_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4129450Z test_meta_vsplit_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4129578Z test_meta_vsplit_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4129702Z test_meta_vsplit_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4129822Z test_meta_vsplit_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4129942Z test_meta_vsplit_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4130050Z test_meta_vsplit_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4130167Z test_meta_vsplit_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4130333Z test_meta_vsplit_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4130454Z test_meta_vsplit_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4130575Z test_meta_vsplit_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4130701Z test_meta_vstack_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4130824Z test_meta_vstack_cpu_bool (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4130954Z test_meta_vstack_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4131068Z test_meta_vstack_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4131315Z test_meta_vstack_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4131446Z test_meta_vstack_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4131568Z test_meta_vstack_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4131686Z test_meta_vstack_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4131810Z test_meta_vstack_cpu_int16 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4131929Z test_meta_vstack_cpu_int32 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4132045Z test_meta_vstack_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4132150Z test_meta_vstack_cpu_int8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4132268Z test_meta_vstack_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.001s) 2022-12-01T10:23:49.4132390Z test_meta_where_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4132512Z test_meta_where_cpu_bool (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4132642Z test_meta_where_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4132771Z test_meta_where_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4132899Z test_meta_where_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4133026Z test_meta_where_cpu_float16 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4133135Z test_meta_where_cpu_float32 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4133253Z test_meta_where_cpu_float64 (__main__.TestMetaCPU) ... ok (0.005s) 2022-12-01T10:23:49.4133378Z test_meta_where_cpu_int16 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4133496Z test_meta_where_cpu_int32 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4133610Z test_meta_where_cpu_int64 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4133729Z test_meta_where_cpu_int8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4133849Z test_meta_where_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.004s) 2022-12-01T10:23:49.4133961Z test_meta_xlogy_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4134079Z test_meta_xlogy_cpu_bool (__main__.TestMetaCPU) ... ok (0.007s) 2022-12-01T10:23:49.4134202Z test_meta_xlogy_cpu_float16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4134325Z test_meta_xlogy_cpu_float32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4144803Z test_meta_xlogy_cpu_float64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4145045Z test_meta_xlogy_cpu_int16 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4145174Z test_meta_xlogy_cpu_int32 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4145301Z test_meta_xlogy_cpu_int64 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4145422Z test_meta_xlogy_cpu_int8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4145549Z test_meta_xlogy_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.008s) 2022-12-01T10:23:49.4145685Z test_meta_zero__cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4145807Z test_meta_zero__cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4145940Z test_meta_zero__cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4146144Z test_meta_zero__cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4146271Z test_meta_zero__cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4146383Z test_meta_zero__cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4146504Z test_meta_zero__cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4146626Z test_meta_zero__cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4146744Z test_meta_zero__cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4146863Z test_meta_zero__cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4147026Z test_meta_zero__cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4147150Z test_meta_zero__cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4147264Z test_meta_zeros_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4147388Z test_meta_zeros_cpu_bool (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4147517Z test_meta_zeros_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4147651Z test_meta_zeros_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4147779Z test_meta_zeros_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4147910Z test_meta_zeros_cpu_float16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148037Z test_meta_zeros_cpu_float32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148161Z test_meta_zeros_cpu_float64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148271Z test_meta_zeros_cpu_int16 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148392Z test_meta_zeros_cpu_int32 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148512Z test_meta_zeros_cpu_int64 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148633Z test_meta_zeros_cpu_int8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148753Z test_meta_zeros_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.002s) 2022-12-01T10:23:49.4148885Z test_meta_zeros_like_cpu_bfloat16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149011Z test_meta_zeros_like_cpu_bool (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149148Z test_meta_zeros_like_cpu_complex128 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149271Z test_meta_zeros_like_cpu_complex32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149406Z test_meta_zeros_like_cpu_complex64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149535Z test_meta_zeros_like_cpu_float16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149667Z test_meta_zeros_like_cpu_float32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149799Z test_meta_zeros_like_cpu_float64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4149930Z test_meta_zeros_like_cpu_int16 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4150069Z test_meta_zeros_like_cpu_int32 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4150195Z test_meta_zeros_like_cpu_int64 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4150309Z test_meta_zeros_like_cpu_int8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4150435Z test_meta_zeros_like_cpu_uint8 (__main__.TestMetaCPU) ... ok (0.003s) 2022-12-01T10:23:49.4150891Z test_complex_noncontiguous_bug (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_complex_noncontiguous_bug test_meta.py line 125 2022-12-01T10:23:49.4150959Z due to: 2022-12-01T10:23:49.4151057Z Traceback (most recent call last): 2022-12-01T10:23:49.4151221Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4151477Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4151816Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4151855Z 2022-12-01T10:23:49.4151917Z from user code: 2022-12-01T10:23:49.4152081Z File "test_meta.py", line 127, in test_complex_noncontiguous_bug 2022-12-01T10:23:49.4152165Z m = MetaConverter()(x) 2022-12-01T10:23:49.4152171Z 2022-12-01T10:23:49.4152307Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4152373Z ========== 2022-12-01T10:23:49.4152440Z ok (0.005s) 2022-12-01T10:23:49.4152743Z test_imag (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_imag test_meta.py line 148 2022-12-01T10:23:49.4152811Z due to: 2022-12-01T10:23:49.4152938Z Traceback (most recent call last): 2022-12-01T10:23:49.4153100Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4153350Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4153658Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4153663Z 2022-12-01T10:23:49.4153737Z from user code: 2022-12-01T10:23:49.4153841Z File "test_meta.py", line 151, in test_imag 2022-12-01T10:23:49.4153926Z m = MetaConverter()(y) 2022-12-01T10:23:49.4153931Z 2022-12-01T10:23:49.4154064Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4154116Z ========== 2022-12-01T10:23:49.4154184Z ok (0.004s) 2022-12-01T10:23:49.4154477Z test_leaf (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_leaf test_meta.py line 90 2022-12-01T10:23:49.4154546Z due to: 2022-12-01T10:23:49.4154640Z Traceback (most recent call last): 2022-12-01T10:23:49.4154797Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4155048Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4155353Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4155358Z 2022-12-01T10:23:49.4155417Z from user code: 2022-12-01T10:23:49.4155519Z File "test_meta.py", line 92, in test_leaf 2022-12-01T10:23:49.4155605Z to_meta = MetaConverter() 2022-12-01T10:23:49.4155610Z 2022-12-01T10:23:49.4155742Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4155805Z ========== 2022-12-01T10:23:49.4155873Z ok (0.003s) 2022-12-01T10:23:49.4156175Z test_non_leaf (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_non_leaf test_meta.py line 98 2022-12-01T10:23:49.4156228Z due to: 2022-12-01T10:23:49.4156320Z Traceback (most recent call last): 2022-12-01T10:23:49.4156482Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4156732Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4157040Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4157045Z 2022-12-01T10:23:49.4157117Z from user code: 2022-12-01T10:23:49.4157225Z File "test_meta.py", line 101, in test_non_leaf 2022-12-01T10:23:49.4157312Z to_meta = MetaConverter() 2022-12-01T10:23:49.4157317Z 2022-12-01T10:23:49.4157449Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4157501Z ========== 2022-12-01T10:23:49.4157568Z ok (0.003s) 2022-12-01T10:23:49.4157909Z test_requires_grad_false (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_requires_grad_false test_meta.py line 107 2022-12-01T10:23:49.4157977Z due to: 2022-12-01T10:23:49.4158071Z Traceback (most recent call last): 2022-12-01T10:23:49.4158227Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4158507Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4158794Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4158812Z 2022-12-01T10:23:49.4158871Z from user code: 2022-12-01T10:23:49.4158992Z File "test_meta.py", line 109, in test_requires_grad_false 2022-12-01T10:23:49.4159079Z to_meta = MetaConverter() 2022-12-01T10:23:49.4159084Z 2022-12-01T10:23:49.4159216Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4159282Z ========== 2022-12-01T10:23:49.4159380Z ok (0.003s) 2022-12-01T10:23:49.4159742Z test_tensor_outlives_converter (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensor_outlives_converter test_meta.py line 179 2022-12-01T10:23:49.4159796Z due to: 2022-12-01T10:23:49.4159893Z Traceback (most recent call last): 2022-12-01T10:23:49.4160050Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4160298Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4160598Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4160604Z 2022-12-01T10:23:49.4160676Z from user code: 2022-12-01T10:23:49.4160803Z File "test_meta.py", line 180, in test_tensor_outlives_converter 2022-12-01T10:23:49.4160884Z m = MetaConverter() 2022-12-01T10:23:49.4160890Z 2022-12-01T10:23:49.4161012Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4161077Z ========== 2022-12-01T10:23:49.4161145Z ok (0.002s) 2022-12-01T10:23:49.4161470Z test_view_as_complex (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_view_as_complex test_meta.py line 132 2022-12-01T10:23:49.4161539Z due to: 2022-12-01T10:23:49.4161633Z Traceback (most recent call last): 2022-12-01T10:23:49.4161793Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4162042Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4162330Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4162336Z 2022-12-01T10:23:49.4162410Z from user code: 2022-12-01T10:23:49.4162527Z File "test_meta.py", line 135, in test_view_as_complex 2022-12-01T10:23:49.4162613Z m = MetaConverter()(y) 2022-12-01T10:23:49.4162619Z 2022-12-01T10:23:49.4162751Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4162816Z ========== 2022-12-01T10:23:49.4162882Z ok (0.004s) 2022-12-01T10:23:49.4163196Z test_view_as_real (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_view_as_real test_meta.py line 117 2022-12-01T10:23:49.4163252Z due to: 2022-12-01T10:23:49.4163343Z Traceback (most recent call last): 2022-12-01T10:23:49.4163501Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4163750Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4164052Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4164057Z 2022-12-01T10:23:49.4164133Z from user code: 2022-12-01T10:23:49.4164246Z File "test_meta.py", line 120, in test_view_as_real 2022-12-01T10:23:49.4164334Z m = MetaConverter()(y) 2022-12-01T10:23:49.4164339Z 2022-12-01T10:23:49.4164458Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4164522Z ========== 2022-12-01T10:23:49.4164591Z ok (0.004s) 2022-12-01T10:23:49.4164935Z test_view_dtype (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_view_dtype test_meta.py line 140 2022-12-01T10:23:49.4165004Z due to: 2022-12-01T10:23:49.4165097Z Traceback (most recent call last): 2022-12-01T10:23:49.4165275Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4165512Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4165814Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4165818Z 2022-12-01T10:23:49.4165916Z from user code: 2022-12-01T10:23:49.4166027Z File "test_meta.py", line 143, in test_view_dtype 2022-12-01T10:23:49.4166110Z m = MetaConverter()(y) 2022-12-01T10:23:49.4166115Z 2022-12-01T10:23:49.4166264Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4166331Z ========== 2022-12-01T10:23:49.4166399Z ok (0.004s) 2022-12-01T10:23:49.4166704Z test_view_of_leaf (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_view_of_leaf test_meta.py line 78 2022-12-01T10:23:49.4166770Z due to: 2022-12-01T10:23:49.4166862Z Traceback (most recent call last): 2022-12-01T10:23:49.4167222Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4167471Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4167775Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4167783Z 2022-12-01T10:23:49.4167856Z from user code: 2022-12-01T10:23:49.4188627Z File "test_meta.py", line 82, in test_view_of_leaf 2022-12-01T10:23:49.4188768Z to_meta = MetaConverter() 2022-12-01T10:23:49.4188782Z 2022-12-01T10:23:49.4188914Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4188980Z ========== 2022-12-01T10:23:49.4189285Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assertSameVersionCounter test_meta.py line 54 2022-12-01T10:23:49.4189342Z due to: 2022-12-01T10:23:49.4189428Z Traceback (most recent call last): 2022-12-01T10:23:49.4189677Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:23:49.4189758Z assert device.type != "meta" 2022-12-01T10:23:49.4189817Z AssertionError 2022-12-01T10:23:49.4189823Z 2022-12-01T10:23:49.4189944Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4189999Z ========== 2022-12-01T10:23:49.4190060Z ok (0.005s) 2022-12-01T10:23:49.4190383Z test_view_of_non_leaf (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_view_of_non_leaf test_meta.py line 65 2022-12-01T10:23:49.4190440Z due to: 2022-12-01T10:23:49.4190523Z Traceback (most recent call last): 2022-12-01T10:23:49.4190669Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4190912Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4191204Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4191209Z 2022-12-01T10:23:49.4191272Z from user code: 2022-12-01T10:23:49.4191379Z File "test_meta.py", line 70, in test_view_of_non_leaf 2022-12-01T10:23:49.4191458Z to_meta = MetaConverter() 2022-12-01T10:23:49.4191463Z 2022-12-01T10:23:49.4191588Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4191643Z ========== 2022-12-01T10:23:49.4191696Z ok (0.005s) 2022-12-01T10:23:49.4191990Z test_weakref (__main__.TestMetaConverter) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_weakref test_meta.py line 157 2022-12-01T10:23:49.4192149Z due to: 2022-12-01T10:23:49.4192233Z Traceback (most recent call last): 2022-12-01T10:23:49.4192383Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:23:49.4192626Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:23:49.4192920Z AssertionError: torch.* op returned non-Tensor MetaConverter call_function 2022-12-01T10:23:49.4192926Z 2022-12-01T10:23:49.4192987Z from user code: 2022-12-01T10:23:49.4193079Z File "test_meta.py", line 159, in test_weakref 2022-12-01T10:23:49.4193149Z m = MetaConverter() 2022-12-01T10:23:49.4193153Z 2022-12-01T10:23:49.4193314Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:23:49.4193372Z ========== 2022-12-01T10:23:49.4193430Z ok (0.004s) 2022-12-01T10:23:49.4193435Z 2022-12-01T10:23:49.4193629Z ---------------------------------------------------------------------- 2022-12-01T10:23:49.4193703Z Ran 10212 tests in 456.065s 2022-12-01T10:23:49.4193708Z 2022-12-01T10:23:49.4193773Z OK (skipped=252) 2022-12-01T10:23:49.4193778Z 2022-12-01T10:23:49.4193848Z Generating XML reports... 2022-12-01T10:23:49.4194106Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaCPU-20221201101611.xml 2022-12-01T10:23:49.4194380Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaConverter-20221201101611.xml 2022-12-01T10:23:49.4194385Z 2022-12-01T10:23:49.4194782Z ##[endgroup] 2022-12-01T10:23:49.4195039Z FINISHED PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_una5vq0p) 2022-12-01T10:23:49.4195044Z 2022-12-01T10:23:49.4195206Z Running test_ops_gradients ... [2022-12-01 10:23:49.228552] 2022-12-01T10:23:50.3851830Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:23:50.4360086Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:23:50.7784258Z Ignoring disabled issues: [] 2022-12-01T10:23:50.7918730Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-x', '--reruns=2', '-rfEX', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:23:50.791533] 2022-12-01T10:23:50.8263378Z Ignoring disabled issues: [] 2022-12-01T10:23:50.8396438Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-x', '--reruns=2', '-rfEX', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:23:50.839330] 2022-12-01T10:31:05.6412130Z 2022-12-01T10:31:05.6412729Z Expand the folded group to see the log file of test_ops_gradients 2022-12-01T10:31:05.6415836Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_kzytnpkv) 2022-12-01T10:31:05.6423616Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-3f9103b48b3a2385.xml 2022-12-01T10:31:05.6424586Z ============================= test session starts ============================== 2022-12-01T10:31:05.6425322Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python 2022-12-01T10:31:05.6425821Z cachedir: .pytest_cache 2022-12-01T10:31:05.6426670Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-12-01T10:31:05.6427432Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-12-01T10:31:05.6428163Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T10:31:05.6428675Z collecting ... collected 7560 items / 18 deselected / 7542 selected 2022-12-01T10:31:05.7211646Z Running 3784 items in this shard: test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___radd___cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___radd___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_acos_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_all_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_amax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_amin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_angle_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_angle_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_bernoulli_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_block_diag_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_bool_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_broadcast_tensors_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_byte_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_byte_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cat_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cat_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cdist_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_char_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cholesky_inverse_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_chunk_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_clamp_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_clamp_max_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_clamp_min_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_clone_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_combinations_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_complex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_conj_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_contiguous_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_copysign_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_corrcoef_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cosh_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cov_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cross_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cummax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_cumulative_trapezoid_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_deg2rad_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diag_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diag_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diag_embed_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diag_embed_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diagonal_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diagonal_scatter_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diff_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_diff_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_double_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_dstack_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_empty_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_equal_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_erf_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_erfc_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_exp2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_exp_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_expand_as_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_expand_as_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_expand_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_eye_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_fft2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_fft_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_fftshift_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_hfft2_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_hfftn_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_ifft2_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_ifft_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_ifftn_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_ifftn_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_ifftshift_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_ihfft_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_ihfftn_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_irfft2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_irfft_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_irfftn_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_rfft2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_rfft_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fft_rfftn_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fill_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fill_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_flatten_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_flip_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fliplr_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_flipud_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_flipud_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_float_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_float_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_float_power_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_floor_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fmin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_fmod_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_frac_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_gather_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_geqrf_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_gradient_cpu_float64, 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test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_quantile_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rand_like_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randint_like_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_like_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_real_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_remainder_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_renorm_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_repeat_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_repeat_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize_as__cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_roll_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_roll_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rot90_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsub_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_amax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_amin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_prod_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_sum_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_searchsorted_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_segment_reduce_offsets_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_short_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_signbit_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sin_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinc_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinc_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinh_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_slice_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_softmax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_airy_ai_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_y0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_y1_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_t_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_u_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_v_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_w_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_entr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_erfcx_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_h_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_i1_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_i1e_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_laguerre_polynomial_l_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i1_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k1_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_ndtri_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_zeta_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sqrt_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sqrt_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_square_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_square_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_squeeze_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sum_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_t_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_t_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tanh_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_transpose_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tril_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tril_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_true_divide_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unbind_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unbind_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unflatten_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unique_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_mean_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vdot_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_where_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zero__cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128 2022-12-01T10:31:05.7839640Z 2022-12-01T10:31:05.7840126Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128 SKIPPED (Skipped! 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Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:05.8146186Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:05.8146584Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_amax_cpu_float64 PASSED [ 12%] 2022-12-01T10:31:05.8147100Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:05.8147508Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_angle_cpu_complex128 PASSED [ 12%] 2022-12-01T10:31:05.8147864Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_angle_cpu_float64 PASSED [ 12%] 2022-12-01T10:31:05.8148373Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:05.8148942Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:05.8149547Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:05.8150122Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:05.8150553Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 12%] 2022-12-01T10:31:05.8151017Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_complex128 SKIPPED (Passes on complex128 and float64 only) [ 12%] 2022-12-01T10:31:05.8151428Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_complex128 PASSED [ 12%] 2022-12-01T10:31:05.8151785Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_float64 PASSED [ 12%] 2022-12-01T10:31:05.8152131Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_complex128 PASSED [ 12%] 2022-12-01T10:31:05.8152489Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atan2_cpu_float64 PASSED [ 12%] 2022-12-01T10:31:05.8152844Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_complex128 PASSED [ 12%] 2022-12-01T10:31:05.8153197Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_float64 PASSED [ 12%] 2022-12-01T10:31:05.8153540Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8153908Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8154274Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8154620Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atleast_2d_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8154984Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_complex128 XFAIL [ 13%] 2022-12-01T10:31:05.8155341Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_float64 XFAIL [ 13%] 2022-12-01T10:31:05.8155695Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bmm_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8156032Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bmm_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8156549Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:05.8156974Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8157361Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8157725Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8158096Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8158628Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:05.8159206Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:05.8159609Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cartesian_prod_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8159972Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cdist_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8160326Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_chalf_cpu_complex128 XFAIL [ 13%] 2022-12-01T10:31:05.8160859Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:05.8161280Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_inverse_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8161661Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_inverse_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8162040Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_solve_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8162394Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_chunk_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8162815Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_chunk_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8163172Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_clamp_min_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8163535Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_clone_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8163892Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_column_stack_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8164255Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_conj_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8164626Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_constant_pad_nd_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8164996Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_copysign_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8165333Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cos_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8165689Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cosh_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:05.8166041Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cosh_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8166400Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cov_cpu_complex128 SKIPPED (Barely fails) [ 13%] 2022-12-01T10:31:05.8166787Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cov_cpu_float64 SKIPPED (Barely fails) [ 13%] 2022-12-01T10:31:05.8167267Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cross_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8167645Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8167997Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diag_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:05.8168360Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diag_embed_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8168736Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diagflat_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8169100Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diagflat_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8169451Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diagonal_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8169818Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diagonal_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8170258Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diff_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8170606Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diff_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8170971Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8171359Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_div_trunc_rounding_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8171732Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dot_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8172072Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_double_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8172431Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dsplit_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8172872Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dstack_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8173234Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_einsum_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8173579Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_einsum_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8174117Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:05.8174734Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:05.8175145Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_erf_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8175483Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_erfc_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8175843Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_expand_as_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8176207Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_expand_as_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8176555Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_expand_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8176916Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_expand_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8177270Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_expm1_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8177794Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:05.8178197Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fft2_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8178560Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fftn_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8178924Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fftn_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8179284Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fftshift_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8179638Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_hfft2_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8180000Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_hfft_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8180357Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_hfft_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8180701Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_hfftn_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8181058Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifft2_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8181413Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifft_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8181773Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifftn_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:05.8182122Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifftn_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8182488Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifftshift_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:05.8182852Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ihfft2_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8183218Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ihfftn_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8183564Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_irfft_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8183924Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_irfftn_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8184317Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_rfft2_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8184680Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_rfftn_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8185039Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_flatten_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:05.8185401Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_flatten_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8185758Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_flip_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:05.8186097Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_flip_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8186471Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fliplr_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8186832Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_float_power_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:05.8187204Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_float_power_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8187547Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_floor_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8188079Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8188488Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fmod_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8188820Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_frac_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8189171Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_frexp_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8189699Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8190276Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8190833Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8191242Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_half_cpu_complex128 XFAIL [ 15%] 2022-12-01T10:31:05.8191767Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8192351Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8192931Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8193335Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_hsplit_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:05.8193700Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_hstack_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8194051Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_hypot_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8194392Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_add_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8194754Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_copy_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8195115Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_fill_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8195478Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_put_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8195830Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_select_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8196188Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_inner_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:05.8196738Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8197303Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8240019Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8241019Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:05.8241616Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8242189Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8242779Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8243351Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8243922Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8244498Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8244913Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_istft_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8245322Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 16%] 2022-12-01T10:31:05.8245753Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 16%] 2022-12-01T10:31:05.8246182Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 16%] 2022-12-01T10:31:05.8246610Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 16%] 2022-12-01T10:31:05.8247220Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_kron_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8247571Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_kron_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8247929Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_kthvalue_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8248289Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ldexp_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8248802Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8249210Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lgamma_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8249576Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cond_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8249952Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cond_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8250393Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_det_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8250763Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eig_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8251134Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eig_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8251567Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eigh_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8251921Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eigh_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8252288Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eigvals_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8252660Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eigvalsh_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8253053Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_householder_product_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8253473Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_inv_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8253843Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_inv_ex_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8254390Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8255007Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8255601Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8256197Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:05.8256638Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 16%] 2022-12-01T10:31:05.8257034Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 16%] 2022-12-01T10:31:05.8257418Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8257803Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_factor_ex_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:05.8258179Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_solve_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:05.8258554Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_norm_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8258919Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_power_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8259303Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_power_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8259853Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:05.8260460Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:05.8260886Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_multi_dot_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8261262Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_norm_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8261659Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 17%] 2022-12-01T10:31:05.8262053Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_pinv_hermitian_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8262508Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 17%] 2022-12-01T10:31:05.8262942Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_qr_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8263347Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_slogdet_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8263714Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_solve_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8264082Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_solve_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8264451Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_solve_ex_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8264974Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_solve_ex_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8265349Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_solve_triangular_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8265727Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_svd_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8266092Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_svd_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8266461Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_svdvals_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8266820Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_svdvals_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8267201Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_tensorinv_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8267586Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_tensorinv_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8267959Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_vander_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8268326Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_vector_norm_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8268709Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_vector_norm_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8269261Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:05.8269658Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log2_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8270011Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:05.8270361Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8270720Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log_softmax_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8271071Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logaddexp_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8271442Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logcumsumexp_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8271805Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logdet_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:05.8272342Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:05.8272931Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:05.8273511Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:05.8274096Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:05.8274674Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:05.8275114Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logsumexp_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8275636Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:05.8276041Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lu_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8276409Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lu_solve_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8276760Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lu_solve_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8277146Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lu_unpack_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8277504Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mH_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8277864Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_amax_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8278228Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_cumsum_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8278600Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_fill_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8278973Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_fill_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8279333Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_log_softmax_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8279713Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_logaddexp_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8280089Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_logsumexp_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8280459Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_mean_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8280817Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_mean_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8281191Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_normalize_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8281571Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_normalize_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8281941Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_scatter_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8282295Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_select_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8282660Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_softmax_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8283018Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_std_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8283380Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_sum_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8283732Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_var_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8284087Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_matmul_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8284451Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_matrix_exp_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8284793Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_maximum_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8285149Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mean_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8285504Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_median_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8285882Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_meshgrid_list_of_tensors_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8286270Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_meshgrid_list_of_tensors_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8286725Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_meshgrid_variadic_tensors_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8287230Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mm_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8287583Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mode_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8287931Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_movedim_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:05.8288307Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:05.8288739Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nan_to_num_cpu_float64 PASSED [ 19%] 2022-12-01T10:31:05.8289093Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nanmedian_cpu_float64 PASSED [ 19%] 2022-12-01T10:31:05.8289642Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! 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Op doesn't support autograd for this dtype.) [ 21%] 2022-12-01T10:31:05.8328005Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:05.8328376Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_inf_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:05.8328761Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 21%] 2022-12-01T10:31:05.8329193Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 21%] 2022-12-01T10:31:05.8329754Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 21%] 2022-12-01T10:31:05.8330403Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 21%] 2022-12-01T10:31:05.8330964Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ormqr_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 21%] 2022-12-01T10:31:05.8331381Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_outer_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:05.8331740Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_outer_cpu_float64 PASSED [ 21%] 2022-12-01T10:31:05.8332101Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_permute_cpu_float64 PASSED [ 21%] 2022-12-01T10:31:05.8332455Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_pinverse_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:05.8332814Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_polar_cpu_float64 XFAIL [ 21%] 2022-12-01T10:31:05.8333247Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 21%] 2022-12-01T10:31:05.8333641Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 21%] 2022-12-01T10:31:05.8334062Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 21%] 2022-12-01T10:31:05.8334453Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_positive_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:05.8334855Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_prod_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:05.8335202Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_prod_cpu_float64 PASSED [ 21%] 2022-12-01T10:31:05.8335558Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_put_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:05.8335919Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_quantile_cpu_float64 PASSED [ 21%] 2022-12-01T10:31:05.8336449Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 21%] 2022-12-01T10:31:05.8337022Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8337600Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8338188Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8338601Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ravel_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8338949Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_renorm_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8339310Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_renorm_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8339671Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_repeat_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8340054Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_repeat_interleave_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8340424Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_reshape_as_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8340790Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_reshape_as_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8341154Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_reshape_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8341517Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_reshape_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8342029Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8342615Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8343199Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8343624Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resolve_conj_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8343986Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resolve_conj_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8344353Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resolve_neg_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8344710Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_roll_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8345092Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rot90_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8345474Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 22%] 2022-12-01T10:31:05.8345862Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_add_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8346228Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8346590Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_reduce_sum_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8347000Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_segment_reduce_offsets_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8347378Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_select_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8347736Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_select_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8348090Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_select_scatter_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8348449Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sgn_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8348978Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8349556Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8349953Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sign_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8350307Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sinh_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8350665Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_slice_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8351012Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_softmax_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8351384Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_softmax_with_dtype_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:05.8351767Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_softmax_with_dtype_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:05.8352323Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:05.8352955Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2022-12-01T10:31:05.8353399Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_entr_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8353764Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_i0e_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8354125Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_i1e_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8354684Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2022-12-01T10:31:05.8355133Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_log_ndtr_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8355696Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:05.8356318Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:05.8356925Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:05.8357576Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:05.8358015Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_split_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8358387Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_split_list_args_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8358768Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_split_with_sizes_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8359165Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_split_with_sizes_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8359536Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sqrt_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8359886Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sqrt_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8360231Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_square_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8360594Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_squeeze_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8360961Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_squeeze_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8361322Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_std_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8361679Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_std_mean_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8362040Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_std_mean_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8362391Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_stft_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8362746Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sub_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8363087Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sub_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8363438Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sum_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8363797Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sum_to_size_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8364145Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_svd_lowrank_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8364497Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_t_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8364864Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_take_along_dim_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8365232Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_take_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8365572Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_take_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8365925Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tan_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8366273Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tan_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8366614Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tanh_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:05.8367082Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_to_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8367614Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:05.8368042Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_to_sparse_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:05.8368388Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_topk_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8368747Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_trace_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8369184Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_transpose_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8369552Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_transpose_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8369904Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_trapezoid_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8370363Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_trapz_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8370725Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_triu_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8371127Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_triu_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8371484Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_true_divide_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8371843Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_trunc_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8372203Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unbind_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8372728Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%] 2022-12-01T10:31:05.8373333Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%] 2022-12-01T10:31:05.8373764Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unsqueeze_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8374129Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_var_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8374473Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_var_mean_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8374829Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_vdot_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8375197Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_view_as_complex_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8375566Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_view_as_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8375917Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_vsplit_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8376278Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_vstack_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8376640Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_where_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8376999Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_where_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8377344Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_zero__cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8377686Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_H_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8378023Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_H_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8378344Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_T_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8378670Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_T_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8379009Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___getitem___cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8379357Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___getitem___cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8379691Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___radd___cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8380035Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rdiv___cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8380371Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rdiv___cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8380768Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rmod___cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8381122Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rpow___cpu_float64 SKIPPED (Skipped!) [ 24%] 2022-12-01T10:31:05.8381469Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rsub___cpu_float64 PASSED [ 24%] 2022-12-01T10:31:05.8381806Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_abs_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:05.8382132Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_abs_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8382463Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_acosh_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8382819Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_add_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8383148Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addbmm_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8383490Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addcdiv_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8383832Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addmm_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8384185Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addmm_decomposed_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8384530Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addr_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8384865Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addr_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8385268Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_allclose_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8385733Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_allclose_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8386157Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_amin_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8386668Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_aminmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8387069Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_angle_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8387474Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_arange_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8387911Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_argmin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8388364Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_argsort_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8388789Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 25%] 2022-12-01T10:31:05.8389179Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 25%] 2022-12-01T10:31:05.8389530Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_asin_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8389868Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_asin_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8390204Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_asinh_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8390528Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atan_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8390869Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atanh_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8391210Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atanh_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8391558Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atleast_1d_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8391894Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atleast_1d_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8392240Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atleast_2d_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8392635Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atleast_3d_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8392966Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_baddbmm_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8393307Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bernoulli_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8393650Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_block_diag_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8394052Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bool_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8394517Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bool_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8394923Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_broadcast_to_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:05.8395337Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bucketize_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:05.8395743Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cartesian_prod_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8396074Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cat_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:05.8396406Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ceil_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8396743Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_chalf_cpu_complex128 XFAIL [ 26%] 2022-12-01T10:31:05.8397063Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_chalf_cpu_float64 XFAIL [ 26%] 2022-12-01T10:31:05.8397541Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_char_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:05.8397993Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_char_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:05.8398391Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cholesky_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8398724Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cholesky_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8399079Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cholesky_solve_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8399429Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_chunk_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8399766Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_chunk_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8400090Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_clamp_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8400430Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_clamp_min_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8400769Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_clone_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8401108Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_column_stack_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8401461Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_column_stack_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8401810Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_combinations_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8402166Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_constant_pad_nd_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8402513Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_constant_pad_nd_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8402858Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_copysign_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8403202Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_corrcoef_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8403541Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cos_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8403863Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cosh_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8404234Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cosh_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8404635Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_count_nonzero_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:05.8405021Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cov_cpu_complex128 XFAIL [ 26%] 2022-12-01T10:31:05.8405349Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cov_cpu_float64 XFAIL [ 26%] 2022-12-01T10:31:05.8405682Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cummin_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8406043Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cumprod_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8406373Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cumsum_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8406735Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cumulative_trapezoid_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8407216Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diag_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8407379Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diag_embed_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8407544Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diagflat_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8407692Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diagflat_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8407856Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diagonal_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8408013Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diff_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8408175Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dist_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:05.8408332Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dist_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:05.8408513Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_div_no_rounding_mode_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8408690Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_div_trunc_rounding_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8408856Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dot_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8408997Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dot_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8409159Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_double_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8409320Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_double_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8409483Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dstack_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8409641Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dstack_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8409805Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_einsum_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8409964Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_einsum_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8410276Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_empty_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:05.8410501Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_empty_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:05.8410714Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_empty_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:05.8410937Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_eq_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:05.8411159Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_equal_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:05.8411375Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_equal_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:05.8411588Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_erfc_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8411743Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_exp2_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8411903Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_exp_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8412061Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_exp_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8412224Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_expand_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8412403Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_expand_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8412629Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_eye_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:05.8412797Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fft_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8412959Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fft_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8413122Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fftn_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8413284Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fftn_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8413456Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fftshift_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8413624Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fftshift_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8413792Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_hfft2_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8413938Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_hfft2_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8414098Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_hfft_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8414263Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_hfftn_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8414424Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_hfftn_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8414582Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifft2_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8414745Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifft_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8414909Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifftn_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:05.8415067Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifftn_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:05.8415241Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifftshift_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8415390Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ihfft2_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8415549Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ihfft_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8415713Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ihfftn_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8415880Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_irfft2_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8416042Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_irfft_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8416206Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_irfftn_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8416366Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_rfft_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8416528Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fill_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8416678Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_flatten_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8416837Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_flatten_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8417023Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_flip_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8417187Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_float_power_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8417345Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_float_power_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8417497Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fmod_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8417646Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_frac_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8417797Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_frexp_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8417988Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_gather_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8418193Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ge_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8418350Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_gradient_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8418576Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_histogram_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8418800Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_histogramdd_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8418957Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_hsplit_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8419118Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_hstack_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8419274Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_hstack_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8419431Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_hypot_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8419585Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_imag_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8419734Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_add_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8419899Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_copy_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:05.8420059Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_copy_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8420214Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_put_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8420375Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_reduce_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:05.8420591Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_int_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8420811Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isclose_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8421036Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isfinite_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8421254Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isinf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8421460Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isnan_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8421668Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isnan_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:05.8421890Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isreal_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:05.8422101Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isreal_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:05.8422259Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_istft_cpu_complex128 XFAIL [ 29%] 2022-12-01T10:31:05.8422490Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:05.8422685Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:05.8422895Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:05.8423081Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:05.8423308Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:05.8423460Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_kthvalue_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8423622Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ldexp_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8423780Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ldexp_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8423990Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_le_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:05.8424154Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cond_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8424315Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cond_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8424478Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cross_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8424640Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cross_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8424803Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_det_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8424952Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_det_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8425114Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eig_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8425271Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eigh_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8425435Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eigvals_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8425604Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eigvalsh_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8425770Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eigvalsh_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8425959Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_householder_product_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8426124Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_inv_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8426353Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:05.8426578Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:05.8426755Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8426917Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8427086Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_factor_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8427254Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_solve_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8427415Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_solve_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8427593Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_power_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8427806Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_power_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8428034Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:05.8428214Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 29%] 2022-12-01T10:31:05.8428379Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_pinv_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:05.8428551Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_pinv_hermitian_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:05.8428809Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 30%] 2022-12-01T10:31:05.8428977Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_slogdet_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8429145Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_solve_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8429315Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_solve_ex_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8429481Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_solve_ex_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8429659Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_solve_triangular_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8429813Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_svd_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8429988Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_svdvals_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8430151Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_svdvals_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8430321Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_tensorinv_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8430492Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_vander_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8430656Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_vecdot_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8430828Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_vector_norm_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8430997Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_vector_norm_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8431219Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linspace_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:05.8431431Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linspace_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:05.8431589Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log2_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8431748Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log_softmax_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8431909Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logaddexp2_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8432073Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logcumsumexp_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8432297Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_and_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:05.8432517Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_and_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:05.8432733Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_xor_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:05.8432891Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logsumexp_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8433046Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lu_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8433231Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lu_solve_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8433388Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mT_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:05.8433546Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_amax_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8433703Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_amin_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:05.8433924Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_argmin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) 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[ 35%] 2022-12-01T10:31:05.8466091Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_i0e_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8466297Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_i1e_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8466539Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:05.8466691Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_ndtr_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8466937Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:05.8467345Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 35%] 2022-12-01T10:31:05.8467716Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 35%] 2022-12-01T10:31:05.8468088Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 35%] 2022-12-01T10:31:05.8468465Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 35%] 2022-12-01T10:31:05.8468629Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_split_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8468802Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_split_list_args_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8468972Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_split_list_args_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8469144Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_split_with_sizes_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8469302Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_split_with_sizes_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8469462Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sqrt_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8469624Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_square_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8469789Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_squeeze_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8469948Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_squeeze_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8470109Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_stack_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8470268Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_std_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8470431Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_std_mean_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8470589Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_stft_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:05.8470736Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_stft_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:05.8470894Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sub_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8471051Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sum_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8471214Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sum_to_size_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8471368Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_svd_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8471530Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_svd_lowrank_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8471694Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_symeig_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8471863Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_take_along_dim_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8472007Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_take_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8472198Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tan_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8472368Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tensor_split_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8472527Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tile_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8472682Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tile_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8472839Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_to_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8472993Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_to_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8473181Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_to_sparse_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8473323Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_topk_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8473477Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_trace_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8473647Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_transpose_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8473813Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_trapezoid_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8473969Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_trapz_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8474130Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_triu_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8474283Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_triu_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8474452Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_true_divide_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8474612Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unbind_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8474766Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unflatten_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8474928Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unflatten_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8475086Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unfold_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8475303Z 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[ 36%] 2022-12-01T10:31:05.8475458Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_var_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8475622Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_var_mean_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8475781Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_var_mean_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8475940Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_vdot_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8476099Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_view_as_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8476254Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_view_as_real_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8476411Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_view_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8476570Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_vsplit_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8476727Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_vsplit_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:05.8476889Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_vstack_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:05.8477051Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_vstack_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8477212Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_where_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8477370Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_zero__cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8477581Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_zeros_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:05.8477835Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_zeros_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:05.8477995Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_H_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8478154Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_T_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8478311Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_T_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8478474Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___radd___cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8478704Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rdiv___cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8478878Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rmatmul___cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8479047Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rmatmul___cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8479199Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rmod___cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8479366Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rmul___cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8479529Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_abs_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8479692Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_acos_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8479854Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_acos_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8480017Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_acosh_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8480182Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_add_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8480352Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addcdiv_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8480504Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addcdiv_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8480669Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addmm_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8480853Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addmm_decomposed_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8481021Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addmv_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8481181Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addmv_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8481344Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addr_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8481688Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 37%] 2022-12-01T10:31:05.8481849Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_amin_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8482018Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_angle_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8482166Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_angle_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8482495Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 37%] 2022-12-01T10:31:05.8482824Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 37%] 2022-12-01T10:31:05.8483006Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_as_strided_scatter_cpu_complex128 XFAIL [ 37%] 2022-12-01T10:31:05.8483167Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_asin_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8483332Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_asinh_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8483491Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_asinh_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:05.8483683Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atan_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:05.8483842Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atan_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8483995Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atanh_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8484162Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atleast_1d_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8484329Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atleast_2d_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8484520Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atleast_3d_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8484694Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_baddbmm_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8484854Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bfloat16_cpu_float64 XFAIL [ 38%] 2022-12-01T10:31:05.8485016Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bmm_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8485348Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:05.8485671Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:05.8485838Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_broadcast_tensors_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8486016Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_broadcast_to_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8486340Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:05.8486504Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_chalf_cpu_complex128 XFAIL [ 38%] 2022-12-01T10:31:05.8486665Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_chalf_cpu_float64 XFAIL [ 38%] 2022-12-01T10:31:05.8487132Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:05.8487460Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:05.8487631Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cholesky_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8487800Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cholesky_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8487982Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cholesky_inverse_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8488146Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cholesky_inverse_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8488326Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cholesky_solve_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8488499Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cholesky_solve_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8488660Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_chunk_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8488821Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_clamp_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8489001Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_combinations_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8489167Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_conj_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8489348Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_conj_physical_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8489507Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_contiguous_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8489678Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_contiguous_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8489899Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_copysign_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8490133Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cos_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8490304Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cosh_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8490463Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cov_cpu_complex128 XFAIL [ 38%] 2022-12-01T10:31:05.8490621Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cov_cpu_float64 XFAIL [ 38%] 2022-12-01T10:31:05.8490830Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cummax_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8491003Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cumprod_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:05.8491153Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cumprod_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:05.8491317Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cumsum_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8491476Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_deg2rad_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8491639Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diag_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8491800Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diag_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8491970Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diagflat_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8492144Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diagonal_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8492308Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diagonal_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8492457Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diff_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8492620Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diff_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8492802Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_div_no_rounding_mode_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8492966Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dot_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8493129Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_double_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8493299Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_einsum_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8493461Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_einsum_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8493799Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%] 2022-12-01T10:31:05.8494135Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%] 2022-12-01T10:31:05.8494446Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%] 2022-12-01T10:31:05.8494608Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_erf_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8494771Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_erfinv_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8494933Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_exp_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8495092Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_exp_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8495260Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_expand_as_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8495433Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_expand_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8495602Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fft_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8495798Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fft_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8495949Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fftn_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8496120Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fftshift_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8496285Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_hfft2_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8496455Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_hfftn_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8496649Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifft_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8496820Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifftn_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8496990Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifftn_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8497166Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifftshift_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8497333Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ihfft2_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8497517Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ihfftn_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8497690Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_irfft2_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8497857Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_irfft_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:05.8498022Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_rfft_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:05.8498183Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_rfftn_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8498345Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fill_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8498511Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_flatten_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8498680Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_flip_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8498830Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_flip_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8498994Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fliplr_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8499160Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_flipud_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8499320Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_flipud_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8499492Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_float_power_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8499653Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_floor_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8499993Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8500155Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fmod_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8500314Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_frac_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8500463Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_frexp_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8500802Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8501134Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8501302Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_gather_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8501466Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_gather_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8501828Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8502152Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8502323Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_gradient_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8502486Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_half_cpu_complex128 XFAIL [ 40%] 2022-12-01T10:31:05.8502674Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_half_cpu_float64 XFAIL [ 40%] 2022-12-01T10:31:05.8502993Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8503328Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8503500Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_hsplit_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8503663Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_hsplit_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8503829Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_hstack_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8503987Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_i0_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8504315Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8504641Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8504807Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_imag_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8504971Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_add_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8505144Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_fill_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8505310Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_inner_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:05.8505473Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_inner_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:05.8505793Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8506127Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:05.8506456Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:05.8506779Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:05.8507109Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:05.8507435Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:05.8507633Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 41%] 2022-12-01T10:31:05.8507842Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 41%] 2022-12-01T10:31:05.8508057Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 41%] 2022-12-01T10:31:05.8508311Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 41%] 2022-12-01T10:31:05.8508518Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 41%] 2022-12-01T10:31:05.8508715Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 41%] 2022-12-01T10:31:05.8508909Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 41%] 2022-12-01T10:31:05.8509106Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_kron_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8509275Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_kthvalue_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8509600Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:05.8509757Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lerp_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8509921Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lgamma_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8510089Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cond_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8510264Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cross_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8510433Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cross_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8510614Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_det_singular_cpu_complex128 XFAIL [ 41%] 2022-12-01T10:31:05.8510785Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eig_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8510957Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eigvals_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8511139Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eigvalsh_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8511304Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eigvalsh_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8511498Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_householder_product_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8511666Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_inv_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8512017Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:05.8512360Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:05.8512551Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 41%] 2022-12-01T10:31:05.8512744Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8512931Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8513110Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_factor_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8513274Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_factor_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8513457Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_factor_ex_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8513637Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_factor_ex_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8513814Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_solve_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8513987Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_solve_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:05.8514199Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_norm_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:05.8514384Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_power_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8514562Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_power_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8514931Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:05.8515142Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_multi_dot_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8515326Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 42%] 2022-12-01T10:31:05.8515503Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_pinv_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8515675Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_pinv_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8515860Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_pinv_hermitian_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8516044Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_pinv_hermitian_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8516212Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_qr_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8516389Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_slogdet_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8516564Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_slogdet_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8516722Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_solve_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8516902Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_solve_ex_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8517077Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_solve_ex_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8517245Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_svd_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8517426Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_tensorinv_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8517601Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_tensorinv_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8517786Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_tensorsolve_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8517963Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_tensorsolve_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8518139Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_vander_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8518301Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_vander_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8518470Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_vecdot_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8518651Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_vector_norm_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8518825Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_vector_norm_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8518991Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log2_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8519157Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8519317Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8519661Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:05.8520028Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:05.8520371Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:05.8520519Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lu_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8520685Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lu_unpack_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8520879Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mH_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8521043Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mT_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:05.8521202Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mT_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8521372Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_amax_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8521541Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_amin_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:05.8521879Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:05.8522056Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_fill_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8522221Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_log_softmax_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8522392Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_mean_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8522560Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_mean_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8522731Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_median_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8522901Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_norm_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8523080Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_normalize_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8523247Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_prod_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8523423Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_scatter_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8523580Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_scatter_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8523758Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_select_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8523929Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_softmax_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8524100Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_softmin_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8524270Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_std_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8524443Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_std_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8524615Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_sum_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8524785Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_sum_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8524959Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_var_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8525117Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_var_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8525281Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_matmul_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8525447Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_max_binary_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8525640Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_maximum_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8525804Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mean_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8525964Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mean_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8526128Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_median_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8526317Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_meshgrid_list_of_tensors_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8526527Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_meshgrid_list_of_tensors_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8526707Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_meshgrid_variadic_tensors_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:05.8526896Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_meshgrid_variadic_tensors_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8527209Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_min_reduction_no_dim_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8527375Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_movedim_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8527537Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mul_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8527881Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:05.8528042Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mv_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8528226Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8528398Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nan_to_num_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:05.8528551Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nanmean_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8528725Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nanquantile_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8528891Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nansum_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8529232Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8529569Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8529739Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_narrow_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:05.8529917Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_native_layer_norm_cpu_float64 XFAIL [ 44%] 2022-12-01T10:31:05.8530317Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8530491Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_neg_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:05.8530810Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8531156Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8531488Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8531823Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8532149Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8532528Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8532855Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8533180Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:05.8533377Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8533605Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8533794Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8533967Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8534166Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8534352Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool3d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8534541Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_bilinear_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8534737Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_binary_cross_entropy_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8534948Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8535126Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_celu_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8535308Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv1d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8535495Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv2d_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:05.8535678Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose1d_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:05.8535872Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose3d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8536055Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_dropout2d_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8536428Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 44%] 2022-12-01T10:31:05.8536609Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_embedding_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8536788Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_gelu_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8536972Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_hardtanh_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8537169Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8537362Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_bicubic_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:05.8537557Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_linear_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8537745Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_trilinear_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8537930Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_layer_norm_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8538114Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_linear_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8538337Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8538520Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_pool1d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8538700Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_pool3d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8538891Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8539122Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped!) [ 45%] 2022-12-01T10:31:05.8539315Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool2d_grad_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8539502Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped!) [ 45%] 2022-12-01T10:31:05.8539684Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_mish_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8540067Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 45%] 2022-12-01T10:31:05.8540268Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8540449Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_nll_loss_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8540640Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_normalize_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8540825Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_normalize_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8541017Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_constant_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8541203Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_constant_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8541392Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_reflect_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8541569Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_replicate_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8541767Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pairwise_distance_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8541961Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pairwise_distance_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8542319Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pdist_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 45%] 2022-12-01T10:31:05.8542512Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pixel_shuffle_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8542699Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8542875Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_silu_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8543056Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_softmin_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8543251Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8543435Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_softplus_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8543611Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_softsign_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8543790Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_softsign_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8544002Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_threshold_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8544215Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8544395Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_unfold_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8544588Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_upsample_nearest_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8544781Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:05.8544948Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_fro_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:05.8545142Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 46%] 2022-12-01T10:31:05.8545464Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8545786Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8546121Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8546449Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8546779Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ormqr_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8546945Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_outer_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8547117Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_pca_lowrank_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8547281Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_permute_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8547452Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_pinverse_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8547601Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_polar_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8547786Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8547953Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_pow_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8548123Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_prod_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8548283Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_put_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8548444Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_qr_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8548601Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_qr_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8548766Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_quantile_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8549105Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8549426Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8549590Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ravel_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8549755Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_real_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8549930Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_reciprocal_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8550143Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_reciprocal_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8550311Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_remainder_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8550472Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_renorm_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8550634Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_repeat_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8550814Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_repeat_interleave_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8550998Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_reshape_as_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8551170Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_reshape_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8551334Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_reshape_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8551671Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8552001Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8552339Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:05.8552509Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resolve_neg_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8552674Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_roll_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8552840Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rot90_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:05.8552988Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_round_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:05.8553183Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 47%] 2022-12-01T10:31:05.8553349Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rsqrt_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8553509Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rsqrt_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8553673Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rsub_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8553834Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rsub_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8554005Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_add_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8554167Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8554346Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_reduce_mean_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8554515Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_reduce_sum_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8554858Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:05.8555225Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_segment_reduce_lengths_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 47%] 2022-12-01T10:31:05.8555390Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_select_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8555555Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sgn_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8555723Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sigmoid_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8555886Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sigmoid_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8556245Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:05.8556409Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sin_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8556571Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sinc_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8556724Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sinh_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8556890Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_slice_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:05.8557092Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_softmax_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8557296Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Skipped!) [ 47%] 2022-12-01T10:31:05.8557492Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped!) [ 47%] 2022-12-01T10:31:05.8557837Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:05.8558204Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:05.8558571Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:05.8558953Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 47%] 2022-12-01T10:31:05.8559127Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_erfcx_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8559287Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_i0e_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8559455Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_i1_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8559830Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 47%] 2022-12-01T10:31:05.8560010Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_log_ndtr_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8560368Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:05.8560540Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_ndtri_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8560745Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8561132Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 47%] 2022-12-01T10:31:05.8561521Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 47%] 2022-12-01T10:31:05.8561699Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_xlog1py_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:05.8561855Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_split_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8562022Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_split_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8562201Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_split_list_args_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8562361Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sqrt_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8562559Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_square_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8562724Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_squeeze_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8562890Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_stack_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8563049Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_stack_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8563196Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_std_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8563358Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_stft_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8563547Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sub_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8563717Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sum_to_size_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8563881Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_svd_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8564042Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_svd_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8564204Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_symeig_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8564365Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_t_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8564541Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_take_along_dim_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8564700Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_take_along_dim_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8564862Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_take_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8565024Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tan_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8565182Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tan_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8565355Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tensor_split_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8565523Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tensordot_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8565682Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tile_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8565851Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_to_sparse_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8565999Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_trace_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8566171Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_transpose_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8566346Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_trapezoid_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8566514Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_trapezoid_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8566680Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_trapz_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8566843Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_trapz_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8567124Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_triangular_solve_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8567290Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tril_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8567456Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_triu_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8567603Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_triu_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8567778Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_true_divide_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:05.8567938Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_trunc_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8568102Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unbind_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:05.8568316Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unflatten_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8568483Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unfold_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8568646Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unfold_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8568819Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unsqueeze_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8568989Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_var_mean_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8569173Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_var_mean_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8569336Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_vdot_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8569510Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_view_as_complex_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8569681Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_view_as_real_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8569847Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_vstack_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8570009Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_where_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8570409Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:05.8570735Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:05.8570908Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_H_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8571075Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___getitem___cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8571245Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___getitem___cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8571416Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___radd___cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8571585Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rdiv___cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8571753Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rmod___cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8571920Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rmul___cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8572085Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rsub___cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8572256Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_acos_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8572409Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_acos_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8572580Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_acosh_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8572748Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_acosh_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8572922Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_add_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8573088Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_add_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8573261Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addbmm_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8573432Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addbmm_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8573609Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addcdiv_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:05.8573779Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addcdiv_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8573933Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addmv_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8574169Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addr_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8574502Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:05.8574845Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:05.8575011Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_amax_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8575205Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_amin_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:05.8575542Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8575876Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8576208Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8576544Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8576727Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 50%] 2022-12-01T10:31:05.8576899Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_asin_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8577066Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_asin_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8577238Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_asinh_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8577405Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atan2_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8577571Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atan_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8577747Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atleast_2d_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8577923Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atleast_3d_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8578097Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_baddbmm_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8578253Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bfloat16_cpu_complex128 XFAIL [ 50%] 2022-12-01T10:31:05.8578423Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bfloat16_cpu_float64 XFAIL [ 50%] 2022-12-01T10:31:05.8578598Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_block_diag_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8578768Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bmm_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8579097Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8579273Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_broadcast_to_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8579598Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8579777Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cartesian_prod_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8579944Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cat_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8580099Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cdist_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8580262Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_chalf_cpu_float64 XFAIL [ 50%] 2022-12-01T10:31:05.8580628Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8580959Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-12-01T10:31:05.8581142Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cholesky_inverse_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8581321Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cholesky_inverse_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8581513Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_chunk_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8581681Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_clamp_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8581853Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_clamp_max_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8582018Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_column_stack_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8582187Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_complex_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8582356Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_conj_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8582518Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_conj_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8582700Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_conj_physical_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:05.8582877Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_conj_physical_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8583055Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_constant_pad_nd_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:05.8583227Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_contiguous_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8583402Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_copysign_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8583558Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cos_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8583723Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cos_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8583887Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cosh_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8584237Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:05.8584582Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:05.8584747Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cov_cpu_complex128 XFAIL [ 51%] 2022-12-01T10:31:05.8584910Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cov_cpu_float64 XFAIL [ 51%] 2022-12-01T10:31:05.8585083Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cross_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8585251Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cross_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8585404Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cummax_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8585576Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cumprod_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8585748Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cumsum_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8585917Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cumsum_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8586107Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cumulative_trapezoid_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8586273Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_deg2rad_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8586466Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diag_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8586642Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diagflat_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8586813Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diagflat_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8586975Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diagonal_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8587158Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diagonal_scatter_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8587352Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diff_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8587523Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dist_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8587704Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_div_floor_rounding_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8587887Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_div_trunc_rounding_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8588057Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dot_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8588220Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dot_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8588388Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dsplit_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8588548Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_einsum_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8588716Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_einsum_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8589054Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:05.8589391Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:05.8589717Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:05.8589886Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_erfinv_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8590052Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_exp2_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:05.8590219Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_exp_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8590398Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_expand_as_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:05.8590556Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_expand_as_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8590729Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_expand_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8591068Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%] 2022-12-01T10:31:05.8591398Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%] 2022-12-01T10:31:05.8591571Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fft2_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8591741Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fft_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8591910Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fft_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8592089Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fftshift_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8592267Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fftshift_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8592473Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_hfft2_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8592643Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_hfft2_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8592812Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_hfft_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8592987Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_hfftn_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8593157Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifft_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8593351Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifft_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8593521Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifftn_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8593703Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifftshift_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8593876Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ihfft2_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8594033Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ihfft_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8594205Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ihfftn_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8594372Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_irfft2_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8594540Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_irfft_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8594720Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_irfftn_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8594892Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_irfftn_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8595060Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_rfft2_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8595231Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_rfft_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8595398Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fill_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8595551Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fill_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8595722Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_flatten_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8595889Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_flatten_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8596061Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fliplr_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8596229Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_float_cpu_complex128 XFAIL [ 52%] 2022-12-01T10:31:05.8596408Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_float_power_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8596582Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_float_power_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:05.8596924Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%] 2022-12-01T10:31:05.8597096Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_gather_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:05.8597408Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%] 2022-12-01T10:31:05.8597746Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%] 2022-12-01T10:31:05.8597911Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_half_cpu_float64 XFAIL [ 53%] 2022-12-01T10:31:05.8598253Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8598456Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_hsplit_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8598618Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_i0_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8598947Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8599117Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_add_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8599324Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_copy_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8599483Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_copy_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8599658Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_fill_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8599828Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_fill_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8600004Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_put_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8600173Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_put_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8600348Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_reduce_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8600513Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_inner_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8600846Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8601181Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8601516Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8601838Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8602166Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8602498Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8602834Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8603166Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8603342Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_istft_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8603508Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_istft_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8603729Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 53%] 2022-12-01T10:31:05.8603931Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 53%] 2022-12-01T10:31:05.8604145Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 53%] 2022-12-01T10:31:05.8604302Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_kron_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8604469Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_kron_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8604825Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:05.8604990Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lerp_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8605156Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lgamma_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8605331Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cond_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8605544Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cross_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8605736Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_det_singular_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8605919Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_det_singular_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8606080Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eig_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:05.8606258Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eigh_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:05.8606438Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eigvalsh_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8606630Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_householder_product_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8606806Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_inv_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8607102Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_inv_ex_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8607278Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_inv_ex_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8607639Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:05.8607991Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:05.8608351Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:05.8608690Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:05.8609037Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:05.8609235Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8609429Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8609615Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_factor_ex_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8609798Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_factor_ex_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8609976Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_solve_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8610242Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_norm_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8610430Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_norm_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8610613Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_power_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8610954Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:05.8611379Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:05.8611558Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_multi_dot_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8611734Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_norm_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8611967Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 54%] 2022-12-01T10:31:05.8612140Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_pinv_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8612331Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_pinv_hermitian_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8612522Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_pinv_hermitian_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8612772Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 54%] 2022-12-01T10:31:05.8612955Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_slogdet_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8613117Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_solve_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8613301Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_solve_ex_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8613493Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_solve_triangular_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8613674Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_svdvals_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8613852Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_svdvals_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8614038Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_tensorinv_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8614220Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_tensorinv_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8614406Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_tensorsolve_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8614589Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_tensorsolve_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:05.8614759Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_vector_norm_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:05.8614937Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_vector_norm_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8615284Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8615458Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log10_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8615622Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log10_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8615789Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log1p_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8615952Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log2_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8616122Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8616298Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log_softmax_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8616469Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log_softmax_dtype_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8616679Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log_softmax_dtype_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8616851Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logdet_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8617018Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logdet_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8617373Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8617711Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8618080Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8618417Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8618586Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logit_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8618922Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8619084Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logsumexp_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8619416Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8619747Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8620069Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8620240Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lu_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8620409Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lu_unpack_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8620571Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mH_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8620736Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mT_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8620898Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mT_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8621063Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_amax_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8621405Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:05.8621590Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_cumprod_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8621765Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_fill_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8621947Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_log_softmax_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8622127Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_logaddexp_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8622309Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_logsumexp_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8622484Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_median_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8622658Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_norm_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8622838Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_normalize_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:05.8623032Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_prod_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:05.8623210Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_select_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8623386Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_softmax_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8623562Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_softmin_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8623740Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_std_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:05.8623937Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_std_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8624109Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_matmul_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:05.8624297Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_max_reduction_with_dim_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8624457Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mean_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:05.8624625Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mean_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8624818Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:05.8625008Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_meshgrid_variadic_tensors_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8625195Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_min_reduction_with_dim_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8625366Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_minimum_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8625533Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mm_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:05.8625700Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mode_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8625878Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_movedim_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:05.8626033Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_movedim_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8626200Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_msort_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8626363Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mul_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8626547Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8626719Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nan_to_num_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8626886Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nansum_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8627237Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:05.8627402Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_neg_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8627739Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:05.8628094Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:05.8628429Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:05.8628766Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:05.8629105Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:05.8629332Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8629531Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8629724Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8629921Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8630160Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8630346Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv2d_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8630548Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv_transpose1d_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:05.8630731Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv_transpose1d_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:05.8630926Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv_transpose2d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8631125Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8631323Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_cosine_similarity_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8631514Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_cross_entropy_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8631702Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_ctc_loss_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8631890Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_dropout_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8632068Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_elu_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8632279Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cpu_float64 XFAIL [ 57%] 2022-12-01T10:31:05.8632499Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:05.8632703Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8632902Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8633097Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8633281Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_gelu_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8633469Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_hardshrink_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8633658Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_hardsigmoid_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8633846Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_hardswish_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8634045Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8634242Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_interpolate_bicubic_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8634426Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_interpolate_linear_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8634666Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_interpolate_trilinear_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8634850Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_kl_div_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8635037Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_l1_loss_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:05.8635222Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_layer_norm_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8635431Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_leaky_relu_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8635628Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_local_response_norm_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8635812Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_pool2d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8636015Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped!) [ 57%] 2022-12-01T10:31:05.8636212Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8636394Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_unpool2d_grad_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8636580Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_mse_loss_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8636782Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_multilabel_margin_loss_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8636985Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8637172Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_normalize_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8637367Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_circular_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:05.8637558Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_reflect_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8637757Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:05.8637951Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8638122Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_relu6_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:05.8638306Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_rrelu_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8638491Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_selu_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8638675Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_silu_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8638861Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_softmin_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8639061Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8639248Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_softsign_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8639436Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_tanhshrink_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8639631Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8639976Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-12-01T10:31:05.8640165Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_fro_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8640335Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_inf_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8640509Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_nuc_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8640838Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-12-01T10:31:05.8641206Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-12-01T10:31:05.8641540Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ormqr_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-12-01T10:31:05.8641869Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ormqr_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-12-01T10:31:05.8642043Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_outer_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8642217Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_pca_lowrank_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8642390Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_permute_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8642547Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_permute_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8642737Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_polygamma_polygamma_n_0_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8642936Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 58%] 2022-12-01T10:31:05.8643134Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 58%] 2022-12-01T10:31:05.8643311Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_positive_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8643478Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_pow_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8643646Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_put_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8643813Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_put_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8643980Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_qr_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8644141Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_quantile_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8644308Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rad2deg_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8644648Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-12-01T10:31:05.8644818Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_real_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8644993Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_remainder_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8645163Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_renorm_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8645330Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_renorm_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8645503Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_repeat_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8645687Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_repeat_interleave_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:05.8645853Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_reshape_as_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:05.8646022Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_reshape_as_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8646224Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_reshape_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8646391Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_reshape_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8646733Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:05.8647186Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:05.8647569Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:05.8647906Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:05.8648091Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resolve_conj_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8648252Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resolve_conj_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8648430Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resolve_neg_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8648602Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_resolve_neg_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8648769Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rot90_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8648938Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_round_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8649130Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 59%] 2022-12-01T10:31:05.8649302Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rsqrt_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8649484Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_add_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8649656Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8649812Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8649996Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_reduce_amax_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8650246Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_reduce_amin_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8650433Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_reduce_mean_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8650616Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_reduce_sum_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8650964Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:05.8651152Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_segment_reduce_lengths_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8651326Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_select_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8651495Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_select_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8651659Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_select_scatter_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8651827Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sgn_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8652162Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:05.8652376Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sigmoid_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8652542Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sign_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8652874Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:05.8653040Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sin_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:05.8653203Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sin_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8653395Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sinc_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8653562Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_slice_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8653726Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_slice_scatter_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8653897Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_softmax_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:05.8654076Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_softmax_with_dtype_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:05.8654239Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sort_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:05.8654589Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:05.8654942Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:05.8655318Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:05.8655703Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 60%] 2022-12-01T10:31:05.8655885Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_entr_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:05.8656058Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_i0e_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:05.8656214Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_i1e_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:05.8656588Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:05.8656770Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_log_ndtr_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:05.8657131Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:05.8657311Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_ndtri_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:05.8657703Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 60%] 2022-12-01T10:31:05.8658095Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 60%] 2022-12-01T10:31:05.8658438Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) 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[ 61%] 2022-12-01T10:31:05.8667384Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_unsqueeze_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:05.8667556Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_unsqueeze_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:05.8667721Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_var_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:05.8667885Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_var_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:05.8668053Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_vdot_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:05.8668222Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_view_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:05.8668393Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_vstack_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:05.8668549Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_xlogy_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:05.8668723Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_zero__cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:05.8669060Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_zeros_cpu_complex128 SKIPPED (Skipped! 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[ 62%] 2022-12-01T10:31:05.8673056Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_add_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:05.8673230Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_add_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:05.8673411Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addbmm_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:05.8673584Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addcdiv_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:05.8673768Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addcmul_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:05.8673963Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addmm_decomposed_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:05.8674145Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addmv_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:05.8674321Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addmv_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:05.8674497Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addr_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:05.8674843Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_all_cpu_complex128 SKIPPED (Skipped! 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[ 62%] 2022-12-01T10:31:05.8676641Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:05.8676979Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:05.8677323Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:05.8677695Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:05.8678037Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:05.8678393Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:05.8678603Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 62%] 2022-12-01T10:31:05.8678856Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_as_strided_scatter_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 62%] 2022-12-01T10:31:05.8679107Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_as_strided_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 62%] 2022-12-01T10:31:05.8679292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_asin_cpu_complex128 PASSED [ 63%] 2022-12-01T10:31:05.8679519Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_asinh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8679697Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atan2_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:05.8679875Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atan_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:05.8680113Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atanh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8680349Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8680592Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atleast_1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8680837Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atleast_3d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8681076Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atleast_3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8681260Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_baddbmm_cpu_complex128 PASSED [ 63%] 2022-12-01T10:31:05.8681440Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_baddbmm_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:05.8681668Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_bfloat16_cpu_complex128 SKIPPED (Skipped! 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[ 63%] 2022-12-01T10:31:05.8683369Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_broadcast_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8683713Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-12-01T10:31:05.8684053Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-12-01T10:31:05.8684307Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cartesian_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8684553Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cartesian_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8684790Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8685021Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8685260Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8685510Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cholesky_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8685751Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cholesky_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8685989Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_chunk_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8686168Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_clamp_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:05.8686404Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_clone_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8686639Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_clone_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8686880Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_column_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8687241Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_constant_pad_nd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8687482Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_contiguous_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8687670Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_copysign_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:05.8687898Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_corrcoef_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8688123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cos_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:05.8688361Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cov_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:05.8688591Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cov_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8688829Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8689105Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8689292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cumprod_cpu_complex128 PASSED [ 64%] 2022-12-01T10:31:05.8689476Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cumprod_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:05.8689658Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cumsum_cpu_complex128 PASSED [ 64%] 2022-12-01T10:31:05.8689837Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cumsum_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:05.8690153Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cumulative_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8690406Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diag_embed_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8690652Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diagflat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8690893Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diagflat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8691136Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diagonal_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8691376Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diagonal_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8691617Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diff_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8691852Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dist_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8692086Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8692282Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_div_no_rounding_mode_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:05.8692514Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8692756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_double_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8692979Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8693217Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8693491Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_einsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8693724Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_einsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8694074Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:05.8694446Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:05.8694787Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:05.8695123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:05.8695474Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:05.8695654Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_erfc_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:05.8695828Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_exp2_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:05.8696055Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_expand_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8696299Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_expand_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8696636Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:05.8696873Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8697106Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_hfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8697335Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8697574Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8697816Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:05.8698051Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ihfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8698282Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ihfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8698521Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_irfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8698757Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_irfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8698984Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_irfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8699222Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_irfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8699482Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_rfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8699710Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_rfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8699946Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_flatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8700214Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_flip_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8700453Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_flip_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8700690Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_float_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8700925Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_float_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8701104Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_floor_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:05.8701458Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8701694Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8701913Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8702093Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_frac_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:05.8702326Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_frexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8702678Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8702929Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_gather_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8703266Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8703508Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_gradient_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8703827Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8704061Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_half_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8704410Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8704647Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_hsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8704826Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_hypot_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:05.8705028Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_i0_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:05.8705371Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8705723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8705908Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_add_cpu_complex128 PASSED [ 65%] 2022-12-01T10:31:05.8706114Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_add_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:05.8706287Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_fill_cpu_complex128 PASSED [ 65%] 2022-12-01T10:31:05.8706530Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:05.8706879Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8707219Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8707566Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:05.8707909Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8708257Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8708608Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8708952Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8709179Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%] 2022-12-01T10:31:05.8709403Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 66%] 2022-12-01T10:31:05.8709622Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 66%] 2022-12-01T10:31:05.8709844Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_kron_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8710085Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ldexp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8710319Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ldexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8710500Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lerp_cpu_complex128 PASSED [ 66%] 2022-12-01T10:31:05.8710680Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lerp_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:05.8710857Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lgamma_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:05.8711095Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8711362Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_det_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8711612Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_det_singular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8711857Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8712126Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8712355Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eigh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8712607Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eigvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8712855Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eigvalsh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8713100Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eigvalsh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8713363Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_householder_product_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8713621Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_householder_product_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8713865Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_inv_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8714103Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_inv_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8714467Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8714840Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8715201Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8715564Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:05.8715822Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8716061Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8716302Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8716548Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8716831Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8717081Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8717328Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8717603Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_power_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:05.8717971Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8718351Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8718595Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8718865Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8719129Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8719371Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_pinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8719600Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_pinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8719848Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8720100Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 67%] 2022-12-01T10:31:05.8720347Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8720593Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_slogdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8720837Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8721079Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_svd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8721328Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_tensorinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8721578Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_tensorinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8721831Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_tensorsolve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8722107Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_vander_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8722351Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_vander_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8722582Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_vecdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8722960Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8723137Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log10_cpu_float64 PASSED [ 67%] 2022-12-01T10:31:05.8723315Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log2_cpu_complex128 PASSED [ 67%] 2022-12-01T10:31:05.8723492Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log2_cpu_float64 PASSED [ 67%] 2022-12-01T10:31:05.8723731Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8723974Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log_softmax_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8724214Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8724459Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logcumsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8724815Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8725162Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8725513Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8725845Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8726199Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8726547Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8726894Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8727352Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8727687Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:05.8727933Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8728168Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:05.8728403Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8728695Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_amax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8729047Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:05.8729393Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:05.8729659Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8729907Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8730227Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8730419Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_fill_cpu_complex128 PASSED [ 68%] 2022-12-01T10:31:05.8730604Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_fill_cpu_float64 PASSED [ 68%] 2022-12-01T10:31:05.8730855Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8731102Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8731343Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8731596Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8731836Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8732027Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_complex128 PASSED [ 68%] 2022-12-01T10:31:05.8732260Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8732504Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8732752Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8732989Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8733229Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8733478Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8733719Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8733989Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8734226Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8734468Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8734743Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_max_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8734982Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_maximum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8735219Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8735472Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_min_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8735706Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_minimum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8735940Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8736175Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_msort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8736349Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_float64 PASSED [ 68%] 2022-12-01T10:31:05.8736712Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:05.8736949Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8737177Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:05.8737371Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 68%] 2022-12-01T10:31:05.8737554Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nan_to_num_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:05.8737791Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nanmean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8738129Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8738366Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8738704Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8738883Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_neg_cpu_complex128 PASSED [ 69%] 2022-12-01T10:31:05.8739058Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_neg_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:05.8739409Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8739784Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8740149Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8740507Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8740874Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8741226Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-12-01T10:31:05.8741480Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8741744Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8742008Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8742269Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8742525Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8742777Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8743029Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8743280Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8743531Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8743794Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8744068Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8744324Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8744585Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8744850Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8745098Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8745386Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8745586Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout2d_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:05.8745781Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:05.8746026Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cpu_float64 XFAIL [ 69%] 2022-12-01T10:31:05.8746253Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:05.8746502Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_gelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8746757Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardtanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8747012Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_instance_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8747277Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_area_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8747540Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bicubic_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:05.8747805Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8748054Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8748322Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8748577Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8748826Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8749024Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cpu_float64 PASSED [ 70%] 2022-12-01T10:31:05.8749273Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8749537Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8749793Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_logsigmoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8750045Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8750292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8750589Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8750848Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8751124Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8751375Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8751649Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8751903Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8752159Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8752418Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8752672Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8752927Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8753169Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu6_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8753361Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rrelu_cpu_float64 XFAIL [ 70%] 2022-12-01T10:31:05.8753748Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:05.8753938Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_cpu_float64 PASSED [ 70%] 2022-12-01T10:31:05.8754197Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8754448Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8754697Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8754958Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8755211Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softplus_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8755466Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8755787Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8756044Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8756334Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8756602Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8756884Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8757138Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:05.8757488Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:05.8757726Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8758148Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8758441Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8758716Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8758982Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8759218Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 71%] 2022-12-01T10:31:05.8759591Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8759981Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8760356Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8760692Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8761092Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8761368Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8761634Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8761902Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8762181Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 71%] 2022-12-01T10:31:05.8762419Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 71%] 2022-12-01T10:31:05.8762722Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8763011Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8763299Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8763567Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8763788Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8763992Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_put_cpu_float64 PASSED [ 71%] 2022-12-01T10:31:05.8764261Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8764527Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_quantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8764736Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rad2deg_cpu_float64 PASSED [ 71%] 2022-12-01T10:31:05.8765123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8765495Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8765898Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8766168Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8766436Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_real_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8766653Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_complex128 PASSED [ 71%] 2022-12-01T10:31:05.8766828Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_float64 PASSED [ 71%] 2022-12-01T10:31:05.8767155Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_float64 PASSED [ 71%] 2022-12-01T10:31:05.8767449Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8767721Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reshape_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8767991Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reshape_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:05.8768394Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8768834Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-12-01T10:31:05.8769101Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resolve_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8769377Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resolve_neg_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8769681Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resolve_neg_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8769946Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_roll_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8770282Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_roll_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8770452Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_round_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:05.8770691Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rsqrt_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:05.8770976Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rsub_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8771197Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_add_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:05.8771409Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:05.8771665Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_amax_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:05.8771882Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_amin_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:05.8772100Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_sum_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:05.8772498Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:05.8772784Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_segment_reduce_lengths_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8773015Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8773300Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8773574Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_select_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8773779Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sgn_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:05.8773985Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sigmoid_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:05.8774189Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sign_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:05.8774571Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:05.8774777Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:05.8775014Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:05.8775239Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:05.8775407Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:05.8775677Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_slice_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8775992Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_slice_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8776273Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_slice_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8776560Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sparse_sampled_addmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8776956Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:05.8777345Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:05.8777737Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:05.8778166Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:05.8778593Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 72%] 2022-12-01T10:31:05.8778874Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_entr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8779148Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_erfcx_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:05.8779519Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:05.8779787Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_i0e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8780054Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_i1_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8780474Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 73%] 2022-12-01T10:31:05.8780876Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:05.8781298Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:05.8781729Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:05.8782120Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:05.8782582Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 73%] 2022-12-01T10:31:05.8792908Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 73%] 2022-12-01T10:31:05.8793369Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8793636Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_split_list_args_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8793882Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8794142Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8794323Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sqrt_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:05.8794510Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_square_cpu_complex128 PASSED [ 73%] 2022-12-01T10:31:05.8794700Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_complex128 PASSED [ 73%] 2022-12-01T10:31:05.8794886Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:05.8795129Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8795371Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8795619Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_std_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8795855Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_std_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8796098Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_stft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8796266Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_complex128 PASSED [ 73%] 2022-12-01T10:31:05.8796504Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8796738Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8796979Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_svd_lowrank_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8797216Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_symeig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8797395Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_t_cpu_complex128 PASSED [ 73%] 2022-12-01T10:31:05.8797638Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8797919Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_take_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8798152Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_take_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8798330Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tan_cpu_complex128 PASSED [ 73%] 2022-12-01T10:31:05.8798491Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tan_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:05.8798694Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tanh_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:05.8798944Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tensor_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8799180Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tile_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8799413Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8799651Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_to_sparse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:05.8799882Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_topk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8800071Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:05.8800304Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_trapz_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8800556Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8800730Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_triu_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:05.8800892Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_trunc_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:05.8801128Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8801374Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8801756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-12-01T10:31:05.8802127Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-12-01T10:31:05.8802469Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-12-01T10:31:05.8802659Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:05.8802897Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8803140Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8803377Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8803656Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_view_as_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8803890Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8804123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_view_as_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8804386Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_view_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8804627Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8804869Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8805105Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8805342Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_where_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:05.8805524Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_zero__cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:05.8805880Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-12-01T10:31:05.8806218Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-12-01T10:31:05.8806417Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_H_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8806606Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_H_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8806803Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___getitem___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8807138Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___radd___cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8807344Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rdiv___cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8807542Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rmatmul___cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8807738Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rmod___cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8807943Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rmul___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8808137Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rmul___cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8808322Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rpow___cpu_float64 SKIPPED (Skipped!) [ 74%] 2022-12-01T10:31:05.8808523Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rsub___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-12-01T10:31:05.8808689Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_abs_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:05.8808845Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_acos_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8809007Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_acos_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:05.8809231Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_add_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8809403Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addbmm_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8809570Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addbmm_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:05.8809741Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addmm_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8809911Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addmv_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8810201Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addmv_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:05.8810359Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addr_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8810523Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addr_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:05.8810863Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:05.8811190Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:05.8811529Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:05.8811728Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_amax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8811927Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_amin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8812256Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:05.8812585Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:05.8812781Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 75%] 2022-12-01T10:31:05.8812936Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_asinh_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8813146Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atleast_1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8813348Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atleast_1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8813550Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atleast_2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8813744Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atleast_3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8813921Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_baddbmm_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:05.8814090Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_baddbmm_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:05.8814290Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bernoulli_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8814487Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bfloat16_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8814694Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_block_diag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8814878Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_block_diag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8815074Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bmm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8815296Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bmm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8815620Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:05.8815833Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_broadcast_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8816040Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_broadcast_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8816274Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_broadcast_to_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8816475Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_broadcast_to_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:05.8816812Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:05.8817017Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cartesian_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8817200Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8817362Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ceil_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8817564Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_chalf_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8817886Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:05.8818083Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cholesky_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8818292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cholesky_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8818465Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_clamp_max_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8818634Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_clamp_min_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8818843Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_column_stack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8819034Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_combinations_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8819231Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_conj_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8819410Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_conj_physical_cpu_complex128 PASSED [ 76%] 2022-12-01T10:31:05.8819587Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_conj_physical_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8819796Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_constant_pad_nd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8820000Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_contiguous_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8820167Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_copysign_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8820332Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cos_cpu_complex128 PASSED [ 76%] 2022-12-01T10:31:05.8820497Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cos_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8820658Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cosh_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8820990Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:05.8821220Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cross_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8821416Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cummax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8821611Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cummin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8821780Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cumsum_cpu_complex128 PASSED [ 76%] 2022-12-01T10:31:05.8822027Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cumulative_trapezoid_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8822227Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8822428Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diag_embed_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8822630Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diagflat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8822827Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diagflat_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8823012Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diagonal_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8823208Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diff_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8823402Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diff_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8823568Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_digamma_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8823756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_div_no_rounding_mode_cpu_complex128 PASSED [ 76%] 2022-12-01T10:31:05.8823936Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_div_no_rounding_mode_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8824117Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_div_trunc_rounding_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:05.8824312Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:05.8824505Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8824694Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8824890Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8825091Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8825286Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8825481Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_einsum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8825811Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:05.8826140Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:05.8826461Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:05.8826626Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_exp2_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:05.8826856Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_expand_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8827037Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_expand_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8827369Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:05.8827568Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8827791Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8827991Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8828190Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8828396Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fftshift_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8828596Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fftshift_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8828797Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_hfft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8828995Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_hfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8829175Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_hfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8829375Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_hfftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8829577Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8829773Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8829977Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifftshift_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8830178Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifftshift_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8830376Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ihfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8830573Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ihfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8830768Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ihfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8830976Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_irfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8831161Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_irfft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8831354Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_rfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8831550Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_rfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8831718Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fill_cpu_complex128 PASSED [ 77%] 2022-12-01T10:31:05.8831917Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_flatten_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8832145Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fliplr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8832338Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fliplr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:05.8832539Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_flipud_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8832731Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_flipud_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8832958Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_float_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8833142Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_float_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8833317Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_float_power_cpu_complex128 PASSED [ 78%] 2022-12-01T10:31:05.8833481Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fmod_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:05.8833674Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_frexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8834014Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8834213Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_gather_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8834410Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_gather_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8834733Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8835067Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8835395Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8835704Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8835907Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_half_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8836102Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_half_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8836435Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8836770Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8836969Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_hsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8837164Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_hstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8837327Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_i0_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:05.8837503Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_add_cpu_complex128 PASSED [ 78%] 2022-12-01T10:31:05.8837662Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_copy_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:05.8837836Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_fill_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:05.8838008Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_put_cpu_complex128 PASSED [ 78%] 2022-12-01T10:31:05.8838209Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_put_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:05.8838381Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_reduce_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:05.8838587Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_select_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8838787Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8838986Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_inner_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8839340Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8839661Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8839984Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8840308Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8840635Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8840957Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8841287Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:05.8841486Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_istft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:05.8841698Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:05.8841894Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:05.8842093Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:05.8842290Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:05.8842473Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_kron_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8842669Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_kthvalue_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8842833Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ldexp_cpu_float64 PASSED [ 79%] 2022-12-01T10:31:05.8843001Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lerp_cpu_complex128 PASSED [ 79%] 2022-12-01T10:31:05.8843165Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lgamma_cpu_float64 PASSED [ 79%] 2022-12-01T10:31:05.8843372Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cond_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8843571Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cond_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8843778Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_det_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8843986Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_det_singular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8844182Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eig_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8844407Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eigvals_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8844615Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eigvalsh_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8844816Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eigvalsh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8845072Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_householder_product_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8845418Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8845775Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8846123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8846465Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8846655Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 79%] 2022-12-01T10:31:05.8846875Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8847221Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8847405Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8847616Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8847829Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8848042Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_power_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8848260Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_power_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8848616Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8848963Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8849334Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8849694Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:05.8849907Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_multi_dot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8850189Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_multi_dot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8850380Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8850642Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_pinv_hermitian_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:05.8850890Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 80%] 2022-12-01T10:31:05.8851131Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 80%] 2022-12-01T10:31:05.8851337Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_qr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8851583Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_qr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8851795Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_slogdet_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8852004Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_slogdet_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8852209Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8852408Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_solve_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8852610Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_solve_triangular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8852821Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_svdvals_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8853022Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_svdvals_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8853226Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_tensorinv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8853428Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_vecdot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8853641Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_vector_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8853981Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8854150Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log1p_cpu_float64 PASSED [ 80%] 2022-12-01T10:31:05.8854324Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log2_cpu_complex128 PASSED [ 80%] 2022-12-01T10:31:05.8854486Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log2_cpu_float64 PASSED [ 80%] 2022-12-01T10:31:05.8854686Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log_softmax_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8854896Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log_softmax_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8855093Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logaddexp2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8855288Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logdet_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8855626Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8855960Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8856300Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8856668Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8856998Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8857197Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8857553Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8857865Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8858061Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lu_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8858252Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8858451Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lu_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8858647Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lu_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8858843Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mT_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8859183Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8859518Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:05.8859730Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_cumprod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:05.8859931Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_cumsum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8860116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8860327Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_normalize_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8860534Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_normalize_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8860737Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8860940Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8861116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_scatter_cpu_float64 PASSED [ 81%] 2022-12-01T10:31:05.8861320Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_select_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8861519Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8861720Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8861924Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_softmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8862107Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_std_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8862330Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_sum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8862531Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_var_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8862727Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_var_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8862923Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_matmul_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8863174Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_matrix_exp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8863371Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_max_binary_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8863579Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_max_reduction_no_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8863792Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8864014Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8864216Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8864433Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_min_reduction_no_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8864646Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_min_reduction_with_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8864845Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_movedim_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8865014Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mul_cpu_complex128 PASSED [ 81%] 2022-12-01T10:31:05.8865177Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mul_cpu_float64 PASSED [ 81%] 2022-12-01T10:31:05.8865368Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8865554Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 81%] 2022-12-01T10:31:05.8865727Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nan_to_num_cpu_float64 PASSED [ 81%] 2022-12-01T10:31:05.8865930Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nanmedian_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8866117Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nanquantile_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8866317Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nansum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8866655Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-12-01T10:31:05.8866858Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_narrow_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:05.8867194Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-12-01T10:31:05.8867541Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-12-01T10:31:05.8867874Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:05.8868231Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:05.8868559Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:05.8868892Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:05.8869249Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:05.8869461Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8869674Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_batch_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8869885Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8870064Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_celu_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:05.8870276Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8870487Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8870709Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv_transpose2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8870933Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8871162Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_cosine_similarity_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8871378Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_cross_entropy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8871574Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_ctc_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8871756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_dropout_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:05.8871972Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8872181Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:05.8872395Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:05.8872620Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8872838Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8873042Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_glu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8873255Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_hardtanh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8873465Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_huber_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8873714Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8873922Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_interpolate_nearest_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8874146Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_interpolate_trilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8874351Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_kl_div_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8874591Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_l1_loss_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8874778Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_leaky_relu_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:05.8874988Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_linear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8875211Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_local_response_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8875422Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8875635Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8875858Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_unpool1d_grad_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8876072Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8876276Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:05.8876483Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_mse_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8876699Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_normalize_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8876910Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_constant_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8877130Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_reflect_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8877346Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_reflect_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8877570Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_replicate_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8877795Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8878017Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pairwise_distance_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8878224Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pdist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8878432Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8878646Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pixel_shuffle_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8878900Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pixel_unshuffle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8879116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8879323Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_prelu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8879526Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_relu6_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8879757Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_relu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8879940Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_silu_cpu_float64 PASSED [ 83%] 2022-12-01T10:31:05.8880155Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8880364Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_softmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8880587Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8880795Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8881005Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_softplus_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8881216Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_softshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8881430Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_softsign_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8881638Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_softsign_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8881857Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_tanhshrink_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8882046Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_threshold_cpu_float64 PASSED [ 83%] 2022-12-01T10:31:05.8882288Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8882523Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8882734Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_unfold_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8883070Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-12-01T10:31:05.8883256Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_fro_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8883452Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_inf_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8883649Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_inf_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8883847Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_nuc_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:05.8884040Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 83%] 2022-12-01T10:31:05.8884275Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 83%] 2022-12-01T10:31:05.8884604Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-12-01T10:31:05.8884927Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8885288Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8885622Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8885931Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ormqr_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8886134Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_pca_lowrank_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8886335Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_permute_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8886534Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 84%] 2022-12-01T10:31:05.8886731Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 84%] 2022-12-01T10:31:05.8886924Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 84%] 2022-12-01T10:31:05.8887254Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 84%] 2022-12-01T10:31:05.8887458Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_positive_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8887657Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8887850Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_qr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8888004Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rad2deg_cpu_float64 PASSED [ 84%] 2022-12-01T10:31:05.8888344Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8888682Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8889006Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8889346Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8889681Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8889878Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ravel_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8890155Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_real_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8890356Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_real_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8890531Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_reciprocal_cpu_float64 PASSED [ 84%] 2022-12-01T10:31:05.8890740Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_remainder_cpu_float64 PASSED [ 84%] 2022-12-01T10:31:05.8890914Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_renorm_cpu_complex128 PASSED [ 84%] 2022-12-01T10:31:05.8891082Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_renorm_cpu_float64 PASSED [ 84%] 2022-12-01T10:31:05.8891284Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_repeat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8891494Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_repeat_interleave_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8891746Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_reshape_as_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8891946Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_reshape_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8892289Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8892631Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:05.8892837Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resolve_conj_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8893024Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resolve_conj_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8893230Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resolve_neg_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8893428Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_roll_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8893623Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_roll_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8893823Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rot90_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:05.8894003Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_round_decimals_0_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:05.8894194Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 85%] 2022-12-01T10:31:05.8894361Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rsqrt_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:05.8894562Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rsub_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8894746Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_reduce_prod_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:05.8895072Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8895289Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_segment_reduce_lengths_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8895505Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_segment_reduce_offsets_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8895706Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_select_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8895904Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8896073Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sgn_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:05.8896234Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sgn_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:05.8896562Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8896765Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sigmoid_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:05.8897079Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8897241Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sinc_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:05.8897408Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sinh_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:05.8897633Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_slice_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8897828Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_slice_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8898031Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_slice_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8898247Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_softmax_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8898455Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_softmax_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8898645Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sort_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8898856Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sparse_sampled_addmm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8899187Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8899535Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8899880Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8900248Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8900626Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%] 2022-12-01T10:31:05.8901003Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%] 2022-12-01T10:31:05.8901205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_entr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8901570Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8901771Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_i1e_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8902142Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%] 2022-12-01T10:31:05.8902506Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8902865Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8903212Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:05.8903469Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_polygamma_special_polygamma_n_0_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:05.8903839Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-12-01T10:31:05.8904253Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-12-01T10:31:05.8904618Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-12-01T10:31:05.8904824Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_xlog1py_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8905162Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-12-01T10:31:05.8905364Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_split_list_args_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8905572Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_split_with_sizes_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8905737Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sqrt_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:05.8905910Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_square_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:05.8906063Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_square_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:05.8906235Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_squeeze_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:05.8906402Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_squeeze_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:05.8906602Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_stack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8906798Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_std_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8906998Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_std_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8907196Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_stft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8907389Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_stft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8907586Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_svd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8907788Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_symeig_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8907971Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_take_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8908138Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tan_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:05.8908305Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tanh_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:05.8908514Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tensor_split_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8908719Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tensordot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8908913Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_to_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8909280Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-12-01T10:31:05.8909481Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_trace_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8909680Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_trapezoid_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8909861Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_trapz_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8910094Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_triangular_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8910263Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tril_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:05.8910426Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tril_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:05.8910594Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_triu_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:05.8910755Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_triu_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:05.8910924Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_true_divide_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:05.8911120Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unfold_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:05.8911452Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-12-01T10:31:05.8911769Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-12-01T10:31:05.8911943Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unsqueeze_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:05.8912114Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unsqueeze_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:05.8912312Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_var_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8912510Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_var_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8912715Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_view_as_complex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8912915Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_view_as_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8913111Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_view_as_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8913306Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_view_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8913499Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_view_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8913685Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_vsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8913883Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_vstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8914073Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_where_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:05.8914240Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_xlogy_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:05.8914567Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-12-01T10:31:05.8914908Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-12-01T10:31:05.8915267Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-12-01T10:31:05.8915497Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_H_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:05.8915727Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_T_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:05.8915995Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___getitem___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:05.8916231Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rdiv___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:05.8916453Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rmul___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:05.8916638Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 87%] 2022-12-01T10:31:05.8916870Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rsub___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:05.8917202Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_abs_cpu_complex128 SKIPPED (In-place abs not supported for complex tensors) [ 87%] 2022-12-01T10:31:05.8917372Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_abs_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:05.8917545Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_acos_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:05.8917779Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_acosh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:05.8917953Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_add_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:05.8918128Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addcdiv_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:05.8918300Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addcmul_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:05.8918458Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addcmul_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:05.8918633Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addmm_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:05.8918819Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addmm_decomposed_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:05.8918990Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addmv_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:05.8919161Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addmv_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:05.8919327Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addr_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:05.8919664Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-12-01T10:31:05.8919895Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_amax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8920231Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:05.8920552Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:05.8920896Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:05.8921128Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 88%] 2022-12-01T10:31:05.8921357Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_asinh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8921529Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atan_cpu_complex128 PASSED [ 88%] 2022-12-01T10:31:05.8921780Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8922019Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atleast_2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8922260Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atleast_3d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8922434Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_baddbmm_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:05.8922668Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bernoulli_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8922902Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bfloat16_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8923230Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:05.8923556Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:05.8923802Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_broadcast_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8924043Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_broadcast_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8924278Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_broadcast_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8924524Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cartesian_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8924756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8924924Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ceil_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:05.8925256Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:05.8925491Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_chunk_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8925667Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_clamp_min_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:05.8925884Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_clone_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8926126Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_column_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8926360Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_column_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8926620Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8926851Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8927210Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8927504Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_constant_pad_nd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8927750Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_constant_pad_nd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8927991Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_contiguous_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8928174Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cosh_cpu_complex128 PASSED [ 88%] 2022-12-01T10:31:05.8928528Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:05.8928748Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cov_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8928989Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8929224Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:05.8929456Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cummax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8929685Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cummin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8929860Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cumprod_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8930037Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cumsum_cpu_complex128 PASSED [ 89%] 2022-12-01T10:31:05.8930285Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cumsum_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8930542Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cumulative_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8930780Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8931015Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8931241Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diag_embed_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8931476Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diagonal_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8931715Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diff_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8931890Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_digamma_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8932119Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8932350Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_div_floor_rounding_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8932542Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_div_no_rounding_mode_cpu_complex128 PASSED [ 89%] 2022-12-01T10:31:05.8932727Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_div_no_rounding_mode_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8932958Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8933241Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8933460Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8933698Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_einsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8933930Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_einsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8934272Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:05.8934603Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:05.8934944Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:05.8935269Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:05.8935609Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:05.8935937Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:05.8936108Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_erf_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8936277Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_erfc_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8936433Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_exp2_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8936607Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_exp_cpu_complex128 PASSED [ 89%] 2022-12-01T10:31:05.8936848Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_expand_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8937089Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_expand_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8937325Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_expand_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8937496Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_expm1_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:05.8937831Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:05.8938067Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8938297Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:05.8938560Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_hfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8938795Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_hfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8939013Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_hfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8939274Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8939505Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8939749Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8939979Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ihfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8940209Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_irfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8940443Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_irfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8940681Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_irfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8940909Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_rfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8941143Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_rfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8941369Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_rfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8941532Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fill_cpu_complex128 PASSED [ 90%] 2022-12-01T10:31:05.8941700Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fill_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8941933Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_flip_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8942164Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fliplr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8942395Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fliplr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8942621Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_flipud_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8942805Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_float_power_cpu_complex128 PASSED [ 90%] 2022-12-01T10:31:05.8942981Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_float_power_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8943153Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fmod_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8943385Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_frexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8943736Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-12-01T10:31:05.8943974Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_gather_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8944200Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_half_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8944538Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-12-01T10:31:05.8944807Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_hstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8944979Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_hypot_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8945146Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_i0_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8945480Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-12-01T10:31:05.8945814Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-12-01T10:31:05.8945993Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_copy_cpu_complex128 PASSED [ 90%] 2022-12-01T10:31:05.8946171Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_copy_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8946328Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_fill_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8946499Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_put_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8946678Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_reduce_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:05.8946915Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:05.8947148Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_inner_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8947383Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_inner_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8947713Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8948045Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8948384Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8948715Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8949038Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8949367Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8949597Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_istft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8949816Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 91%] 2022-12-01T10:31:05.8950049Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 91%] 2022-12-01T10:31:05.8950265Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 91%] 2022-12-01T10:31:05.8950467Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 91%] 2022-12-01T10:31:05.8950664Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 91%] 2022-12-01T10:31:05.8950924Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_kthvalue_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8951093Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lerp_cpu_float64 PASSED [ 91%] 2022-12-01T10:31:05.8951335Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cond_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8951557Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cond_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8951796Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_det_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8952041Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_det_singular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8952276Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eigh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8952519Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eigvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8952763Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eigvalsh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8952998Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_inv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8953232Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_inv_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8953586Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8953948Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8954306Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8954505Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 91%] 2022-12-01T10:31:05.8954681Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 91%] 2022-12-01T10:31:05.8954938Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8955192Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8955424Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8955727Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8955974Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8956212Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:05.8956599Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8956957Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:05.8957202Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_multi_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8957439Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_multi_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8957662Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8957899Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8958161Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8958420Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8958663Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_pinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8958914Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8959168Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 92%] 2022-12-01T10:31:05.8959407Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8959647Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_slogdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8959882Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8960121Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_solve_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8960356Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_solve_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8960607Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_solve_triangular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8960840Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_solve_triangular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8961108Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_svd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8961341Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_svd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8961585Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_tensorinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8961853Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_tensorinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8962092Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_vander_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8962329Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_vander_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8962575Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_vector_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8962812Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_vector_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8963153Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:05.8963322Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log10_cpu_float64 PASSED [ 92%] 2022-12-01T10:31:05.8963479Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log1p_cpu_float64 PASSED [ 92%] 2022-12-01T10:31:05.8963655Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log2_cpu_complex128 PASSED [ 92%] 2022-12-01T10:31:05.8963819Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log2_cpu_float64 PASSED [ 92%] 2022-12-01T10:31:05.8964052Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8964294Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log_softmax_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8964540Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log_softmax_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8964773Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8965116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:05.8965459Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:05.8965793Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:05.8966123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:05.8966345Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:05.8966580Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lu_unpack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8966839Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lu_unpack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8967192Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mT_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8967423Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mT_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8967698Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_amax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8967935Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_amin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8968287Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:05.8968632Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:05.8968872Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_cumsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8969120Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8969358Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8969578Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8969824Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8970154Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8970392Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8970643Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8970885Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8971130Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8971369Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8971609Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8971848Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8972083Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_sum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8972322Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8972585Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8972818Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_matmul_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8973050Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_matmul_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8973322Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_matrix_exp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8973555Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8973786Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8974035Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8974291Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8974522Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_msort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:05.8974690Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mul_cpu_float64 PASSED [ 93%] 2022-12-01T10:31:05.8975037Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:05.8975215Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 93%] 2022-12-01T10:31:05.8975404Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 93%] 2022-12-01T10:31:05.8975577Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nan_to_num_cpu_float64 PASSED [ 93%] 2022-12-01T10:31:05.8975812Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nanmedian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8976050Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nanquantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8976283Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nansum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8976635Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8976977Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8977210Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_narrow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8977442Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_narrow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8977685Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_native_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8978004Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8978373Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8978731Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8979068Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8979427Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8979756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8980098Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8980440Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-12-01T10:31:05.8980699Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8980956Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8981203Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8981454Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8981702Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8981971Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8982160Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_celu_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:05.8982408Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8982653Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8982905Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8983163Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8983417Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8983673Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8983929Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_cosine_similarity_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8984205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8984451Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_ctc_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8984643Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_dropout2d_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:05.8984846Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_dropout3d_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:05.8985032Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_elu_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:05.8985283Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_embedding_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:05.8985499Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:05.8985720Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 94%] 2022-12-01T10:31:05.8985937Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 95%] 2022-12-01T10:31:05.8986199Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8986455Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8986699Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_glu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8986948Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_group_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8987141Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_hardsigmoid_cpu_float64 XFAIL [ 95%] 2022-12-01T10:31:05.8987377Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_hardswish_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8987623Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_hardtanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8987870Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_huber_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8988123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_instance_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8988380Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_area_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8988640Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_bicubic_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8988899Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_trilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8989143Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_kl_div_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8989416Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_l1_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8989661Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8989910Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_linear_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8990184Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8990442Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_local_response_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8990678Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_logsigmoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8990933Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8991181Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8991431Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8991687Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool1d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8991943Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool2d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8992193Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8992436Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_mse_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8992685Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8992936Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_circular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8993192Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_constant_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8993446Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_reflect_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8993682Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_reflect_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8993938Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_replicate_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8994198Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8994487Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8994729Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_prelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8994914Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_selu_cpu_float64 PASSED [ 95%] 2022-12-01T10:31:05.8995186Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:05.8995432Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8995692Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8995940Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softsign_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8996185Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softsign_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8996433Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_tanhshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8996625Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_threshold_cpu_float64 PASSED [ 96%] 2022-12-01T10:31:05.8996870Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8997148Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8997392Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8997649Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_upsample_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8997908Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_upsample_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8998144Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8998378Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8998617Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_fro_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8998849Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_fro_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8999082Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_inf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8999317Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_nuc_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.8999562Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 96%] 2022-12-01T10:31:05.8999891Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:05.9000234Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:05.9000491Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_outer_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9000727Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_pca_lowrank_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9000956Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_permute_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9001194Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_pinverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9001426Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_pinverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9001653Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polar_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9001845Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 96%] 2022-12-01T10:31:05.9002049Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 96%] 2022-12-01T10:31:05.9002254Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 96%] 2022-12-01T10:31:05.9002479Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_positive_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9002709Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_pow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9002943Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9003175Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9003348Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_put_cpu_complex128 PASSED [ 96%] 2022-12-01T10:31:05.9003581Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_quantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:05.9003929Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:05.9004268Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:05.9004606Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:05.9004947Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:05.9005178Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9005381Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9005558Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9005731Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_remainder_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9005902Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_renorm_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9006138Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_repeat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9006398Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_repeat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9006637Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9006869Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9007341Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:05.9007583Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9007821Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_roll_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9008035Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_roll_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9008269Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rot90_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9008448Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9008680Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsub_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9008865Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9009044Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9009223Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9009398Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9009585Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_amax_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9009759Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_amin_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9009945Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_prod_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9010195Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_sum_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9010551Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:05.9010809Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_segment_reduce_offsets_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9011149Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:05.9011384Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9011725Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:05.9011899Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sin_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9012074Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinc_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9012230Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinc_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:05.9012452Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinh_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:05.9012690Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_slice_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9012922Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9013170Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9013412Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:05.9013663Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9014012Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9014367Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9014719Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9015089Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9015452Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9015839Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 98%] 2022-12-01T10:31:05.9016214Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 98%] 2022-12-01T10:31:05.9016459Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_entr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9016702Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_erfcx_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9017072Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9017309Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_i1_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9017543Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_i1e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9017946Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9018314Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9018676Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9019069Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9019308Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_ndtri_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9019564Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9019941Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9020333Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 98%] 2022-12-01T10:31:05.9020730Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 98%] 2022-12-01T10:31:05.9021123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 98%] 2022-12-01T10:31:05.9021515Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 98%] 2022-12-01T10:31:05.9021859Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:05.9022106Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9022283Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sqrt_cpu_complex128 PASSED [ 98%] 2022-12-01T10:31:05.9022452Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sqrt_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:05.9022627Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_square_cpu_complex128 PASSED [ 98%] 2022-12-01T10:31:05.9022798Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_square_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:05.9022962Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_squeeze_cpu_complex128 PASSED [ 98%] 2022-12-01T10:31:05.9023190Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9023427Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9023661Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9023836Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128 PASSED [ 98%] 2022-12-01T10:31:05.9024061Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:05.9024257Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_t_cpu_complex128 PASSED [ 98%] 2022-12-01T10:31:05.9024421Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_t_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:05.9024654Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9024824Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:05.9025010Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:05.9025180Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tanh_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:05.9025419Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9025663Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9025896Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9026245Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-12-01T10:31:05.9026427Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_transpose_cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:05.9026655Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9026899Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9027075Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tril_cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:05.9027231Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tril_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:05.9027395Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triu_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:05.9027577Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_true_divide_cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:05.9027750Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:05.9027986Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unbind_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9028218Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unbind_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9028455Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unflatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9028687Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9029029Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-12-01T10:31:05.9029363Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-12-01T10:31:05.9029681Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-12-01T10:31:05.9029890Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:05.9030069Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:05.9030300Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9030528Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9030792Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9031022Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9031257Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9031488Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9031728Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9031957Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9032182Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9032415Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9032646Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_where_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:05.9032816Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zero__cpu_float64 PASSED [ 99%] 2022-12-01T10:31:05.9033153Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%] 2022-12-01T10:31:05.9033162Z 2022-12-01T10:31:05.9033495Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-3f9103b48b3a2385.xml - 2022-12-01T10:31:05.9033643Z = 1769 passed, 1980 skipped, 18 deselected, 35 xfailed, 97 warnings in 431.05s (0:07:11) = 2022-12-01T10:31:05.9033815Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-12-01T10:31:05.9033821Z 2022-12-01T10:31:05.9034189Z ##[endgroup] 2022-12-01T10:31:05.9034471Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_kzytnpkv) 2022-12-01T10:31:05.9034492Z 2022-12-01T10:31:31.4062780Z 2022-12-01T10:31:31.4063180Z Expand the folded group to see the log file of test_ops_gradients 2022-12-01T10:31:31.4063930Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_cy7m24jt) 2022-12-01T10:31:31.4073355Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-cc671452e445163d.xml 2022-12-01T10:31:31.4073851Z ============================= test session starts ============================== 2022-12-01T10:31:31.4074579Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python 2022-12-01T10:31:31.4074945Z cachedir: .pytest_cache 2022-12-01T10:31:31.4075594Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-12-01T10:31:31.4076290Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-12-01T10:31:31.4076794Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T10:31:31.4077309Z collecting ... collected 7560 items / 14 deselected / 7546 selected 2022-12-01T10:31:31.4506591Z Running 3744 items in this shard: test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_T_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_T_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rmod___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_abs_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_abs_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_acos_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_add_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_add_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addr_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_addr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_all_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_aminmax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_any_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_any_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_arange_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_argmax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_argmin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_argsort_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_asin_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_asin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_atan2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_atan_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_atan_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_atanh_cpu_complex128, 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test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_celu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv2d_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_dropout_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_elu_cpu_float64, 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test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_normalize_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_normalize_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_pad_circular_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_pad_constant_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_pixel_shuffle_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_prelu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_relu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_rrelu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_silu_complex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_silu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_soft_margin_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_softmin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_softsign_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_tanhshrink_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_unfold_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_upsample_bilinear_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nonzero_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_fro_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_fro_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_inf_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_nuc_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_norm_nuc_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ones_like_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ones_like_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ormqr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_pca_lowrank_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_permute_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_pinverse_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_3_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_4_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_positive_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_pow_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_pow_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_put_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_qr_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_qr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rad2deg_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rand_like_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_randn_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_randn_like_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ravel_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_real_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_real_cpu_float64, 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test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log_softmax_dtype_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logaddexp2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logdet_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logdet_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_not_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_or_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_or_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logit_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logspace_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logsumexp_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_amin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_log_softmax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_median_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_softmax_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_max_binary_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_max_reduction_with_dim_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_median_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_min_binary_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_min_reduction_no_dim_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mode_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nanmedian_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nanquantile_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nansum_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_native_batch_norm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_native_layer_norm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_complex128, 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test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_elu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool2d_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool3d_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_gaussian_nll_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_glu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_grid_sample_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_group_norm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardshrink_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardsigmoid_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardswish_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hinge_embedding_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_huber_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_kl_div_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool2d_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mish_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mse_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_nll_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pdist_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_prelu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_selu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_threshold_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_normal_number_mean_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polar_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_put_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_remainder_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resize_as__cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resolve_conj_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_round_decimals_0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_round_decimals_3_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_round_decimals_neg_3_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rsqrt_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rsub_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_add_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_cpu_float64, 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test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_rrelu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_silu_complex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_silu_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_soft_margin_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softplus_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softshrink_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_tanhshrink_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_unfold_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nonzero_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nonzero_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_inf_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_norm_nuc_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_normal_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ones_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ones_like_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ormqr_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ormqr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_outer_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_permute_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_2_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_4_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_positive_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_pow_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_put_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_qr_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_qr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rad2deg_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rand_like_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_like_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ravel_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ravel_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_real_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_renorm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_repeat_interleave_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_repeat_interleave_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize__cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize__cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize_as__cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rot90_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_decimals_0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_decimals_3_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_decimals_neg_3_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsub_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_mean_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_segment_reduce_lengths_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_select_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_select_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_select_scatter_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sgn_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sgn_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_short_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sign_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sin_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinh_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_slice_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_slice_scatter_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sort_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_j0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_j1_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_he_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_i0e_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_legendre_polynomial_p_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_log_ndtr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_ndtr_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_spherical_bessel_j0_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_xlog1py_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_squeeze_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stack_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_mean_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stft_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sub_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_svd_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_svd_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_symeig_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_symeig_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tan_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tile_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_topk_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trace_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_transpose_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unflatten_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unfold_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_mean_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vdot_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_complex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_where_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64 2022-12-01T10:31:31.4873747Z 2022-12-01T10:31:31.4874014Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_T_cpu_complex128 SKIPPED (Skipped! 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Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5203300Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_trapz_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5203747Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_tril_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5204217Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_triu_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5204641Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_triu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5205095Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_true_divide_cpu_complex128 SKIPPED (Skipped! 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Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5208128Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_var_mean_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5208565Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_vdot_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5209020Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_view_as_complex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5209477Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_view_as_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5209934Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_view_as_real_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5210455Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_view_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5210912Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_vstack_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5211362Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_zero__cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:31.5211931Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%] 2022-12-01T10:31:31.5212491Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5213076Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5213490Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5213845Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5214196Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5214564Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5214938Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5215304Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5215706Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5216080Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___rpow___cpu_float64 SKIPPED (Skipped!) [ 13%] 2022-12-01T10:31:31.5216457Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5216816Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5217155Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5217548Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5217911Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5218261Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5218614Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5218976Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5219338Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5219686Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5220046Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_addmv_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5220410Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5220769Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5221281Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5221870Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5222286Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_amin_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5222804Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5223366Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5223939Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5224518Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%] 2022-12-01T10:31:31.5224960Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 13%] 2022-12-01T10:31:31.5225383Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_float64 SKIPPED (Passes on complex128 and float64 only) [ 13%] 2022-12-01T10:31:31.5225785Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5226141Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5226511Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atleast_2d_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5226872Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5227240Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_float64 PASSED [ 13%] 2022-12-01T10:31:31.5227637Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_complex128 PASSED [ 13%] 2022-12-01T10:31:31.5227989Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5228356Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bernoulli_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5228726Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5229092Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5229643Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:31.5230215Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:31.5230648Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cartesian_prod_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5231021Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cat_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5231361Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cat_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5231713Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ceil_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5232065Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_chalf_cpu_float64 XFAIL [ 14%] 2022-12-01T10:31:31.5232591Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:31.5233000Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5233366Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5233739Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_solve_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5234090Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_clamp_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5234451Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_clamp_max_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5234808Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_clone_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5235176Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_column_stack_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5235539Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_combinations_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5235917Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_combinations_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5236280Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_complex_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5236641Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_conj_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5236997Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_conj_physical_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5237375Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_conj_physical_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5237750Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_constant_pad_nd_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5238108Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_contiguous_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5238479Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_contiguous_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5238850Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_corrcoef_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5239215Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_corrcoef_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5239591Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cos_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5240136Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:31.5240729Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%] 2022-12-01T10:31:31.5241153Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cross_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5241529Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cummax_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5241888Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cummin_cpu_float64 PASSED [ 14%] 2022-12-01T10:31:31.5242249Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cumprod_cpu_complex128 PASSED [ 14%] 2022-12-01T10:31:31.5242615Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cumprod_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5242963Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cumsum_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5243323Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cumsum_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5243701Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5244067Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_deg2rad_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5244426Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diag_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5244793Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diag_embed_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5245167Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_diagonal_scatter_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5245525Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_digamma_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5245886Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dist_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5246237Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dist_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5246607Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_div_floor_rounding_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5247097Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5247467Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dot_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5247826Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_double_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5248177Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dsplit_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5248543Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_dstack_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5249074Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:31.5249661Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:31.5250315Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:31.5250895Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:31.5251462Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:31.5252088Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:31.5252506Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_erfinv_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5252849Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_exp2_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5253202Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_exp_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5253599Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_exp_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5254114Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%] 2022-12-01T10:31:31.5254531Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fft2_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5254901Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fft_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5255263Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fft_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5255619Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_fftshift_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5255990Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_hfft2_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5256359Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_hfftn_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5256728Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifft2_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5257080Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifft_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5257455Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ifftshift_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:31.5257828Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_ihfft_cpu_float64 PASSED [ 15%] 2022-12-01T10:31:31.5258180Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_irfft2_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5258543Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_irfft2_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5258908Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_irfft_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5259279Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_irfftn_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5259631Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fft_rfft_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5259990Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fill_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5260351Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fill_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5260710Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fliplr_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5261060Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_flipud_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5261425Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_flipud_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5261784Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_float_cpu_complex128 XFAIL [ 16%] 2022-12-01T10:31:31.5262127Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_float_cpu_float64 XFAIL [ 16%] 2022-12-01T10:31:31.5262481Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fmax_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5262830Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_fmin_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5263365Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:31.5263808Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_gather_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5264172Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_gather_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5264692Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:31.5265109Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_gradient_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5265502Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_gradient_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5266028Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:31.5266436Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_half_cpu_float64 XFAIL [ 16%] 2022-12-01T10:31:31.5266958Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:31.5267358Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_hsplit_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5267722Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_hstack_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5268080Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_i0_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5268604Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:31.5269169Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:31.5269588Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_imag_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5269954Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_add_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5270313Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_copy_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5270678Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_fill_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5271056Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_put_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5271431Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_reduce_cpu_float64 PASSED [ 16%] 2022-12-01T10:31:31.5271789Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_index_select_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5272156Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_inner_cpu_complex128 PASSED [ 16%] 2022-12-01T10:31:31.5272680Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-12-01T10:31:31.5273270Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5273843Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5274419Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5274996Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5275411Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_istft_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5275832Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 17%] 2022-12-01T10:31:31.5276282Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 17%] 2022-12-01T10:31:31.5276719Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 17%] 2022-12-01T10:31:31.5277156Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 17%] 2022-12-01T10:31:31.5277610Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 17%] 2022-12-01T10:31:31.5278028Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 17%] 2022-12-01T10:31:31.5278422Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ldexp_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5278789Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lerp_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5279133Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lerp_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5279498Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cross_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5279871Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cross_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5280247Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_det_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5280616Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_det_singular_cpu_complex128 XFAIL [ 17%] 2022-12-01T10:31:31.5281005Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_det_singular_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5281391Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eigvals_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5281775Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_eigvalsh_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5282155Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_householder_product_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5282539Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_inv_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5282910Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_inv_ex_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5283455Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5284067Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5284516Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5284902Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5285252Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5285628Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_factor_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5286011Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_factor_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5286398Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_factor_ex_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5286764Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_lu_solve_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5287280Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_norm_cpu_complex128 PASSED [ 17%] 2022-12-01T10:31:31.5287857Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5288493Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-12-01T10:31:31.5288922Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_multi_dot_cpu_float64 PASSED [ 17%] 2022-12-01T10:31:31.5289335Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_norm_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5289727Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 18%] 2022-12-01T10:31:31.5290198Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_pinv_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5290566Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_pinv_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5290952Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_pinv_hermitian_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5291413Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 18%] 2022-12-01T10:31:31.5291856Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_qr_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5292218Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_slogdet_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5292609Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_solve_triangular_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5293006Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_tensorsolve_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5293396Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_tensorsolve_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5293764Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_vander_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5294142Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_vecdot_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5294514Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_vecdot_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5295055Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5295460Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log10_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5295815Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log10_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5296175Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log1p_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5296520Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log2_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5296897Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log_softmax_dtype_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5297282Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_log_softmax_dtype_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5297656Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logaddexp2_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5298009Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logdet_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5298548Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5299140Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5299779Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5300355Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5300767Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logit_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5301323Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5301908Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5302466Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-12-01T10:31:31.5302869Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lu_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5303235Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_lu_unpack_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5303595Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mH_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5303933Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mT_cpu_complex128 PASSED [ 18%] 2022-12-01T10:31:31.5304287Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_mT_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5304644Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_amin_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:31.5305190Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) 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test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_celu_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5326671Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cpu_complex128 PASSED [ 20%] 2022-12-01T10:31:31.5327162Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5327552Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv2d_cpu_complex128 PASSED [ 20%] 2022-12-01T10:31:31.5327962Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose1d_cpu_complex128 PASSED [ 20%] 2022-12-01T10:31:31.5328363Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_dropout_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5328735Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_elu_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5329143Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5329575Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5329979Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_group_norm_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5330441Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_hardshrink_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5330842Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_hardsigmoid_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5331249Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [ 20%] 2022-12-01T10:31:31.5331655Z 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[ 21%] 2022-12-01T10:31:31.5350928Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_positive_cpu_float64 PASSED [ 21%] 2022-12-01T10:31:31.5351280Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_pow_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:31.5351636Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_pow_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5352111Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_put_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5352451Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_qr_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5352806Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_qr_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5353164Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rad2deg_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5353706Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:31.5354282Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:31.5354867Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:31.5355284Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_ravel_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5355650Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_real_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5355996Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_real_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5356367Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_reciprocal_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5356746Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_reciprocal_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5357115Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_remainder_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5357469Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_repeat_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5357847Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_repeat_interleave_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5358394Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:31.5358858Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_resolve_neg_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5359208Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_roll_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5359571Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rot90_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5359934Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_round_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5360321Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_round_decimals_0_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5360722Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 22%] 2022-12-01T10:31:31.5361103Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rsqrt_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5361464Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rsqrt_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5361804Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rsub_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5362158Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_rsub_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5362521Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_add_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5362889Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5363254Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_reduce_amax_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5363640Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_reduce_amin_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5364020Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_reduce_mean_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5364400Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_scatter_reduce_prod_cpu_float64 XFAIL [ 22%] 2022-12-01T10:31:31.5364937Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 22%] 2022-12-01T10:31:31.5365377Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_segment_reduce_lengths_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5365750Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sgn_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5366097Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sigmoid_cpu_complex128 PASSED [ 22%] 2022-12-01T10:31:31.5366459Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sigmoid_cpu_float64 PASSED [ 22%] 2022-12-01T10:31:31.5367085Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5367504Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sin_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:31.5367843Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sin_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5368198Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sinc_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:31.5368555Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sinc_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5368909Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sinh_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5369250Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_slice_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:31.5369622Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_slice_scatter_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5369980Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sort_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5370488Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Skipped!) [ 23%] 2022-12-01T10:31:31.5370910Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped!) [ 23%] 2022-12-01T10:31:31.5371490Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5372098Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5372740Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5373333Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5373961Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5374593Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5375243Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2022-12-01T10:31:31.5375679Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_erfcx_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5376245Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5376888Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5377329Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_i1_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5377880Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5378515Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5378954Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_ndtr_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5379327Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_ndtri_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5379717Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5380320Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5380983Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2022-12-01T10:31:31.5381656Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2022-12-01T10:31:31.5382328Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2022-12-01T10:31:31.5383009Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2022-12-01T10:31:31.5383651Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5384097Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_xlog1py_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5384639Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%] 2022-12-01T10:31:31.5385069Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_split_cpu_float64 PASSED [ 23%] 2022-12-01T10:31:31.5385448Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_split_list_args_cpu_complex128 PASSED [ 23%] 2022-12-01T10:31:31.5385822Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_square_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5386189Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_stack_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5386536Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_stack_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5386893Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_std_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5387251Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_stft_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5387606Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sum_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5387959Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_sum_to_size_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5388327Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_svd_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5388682Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_svd_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5389037Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_symeig_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5389401Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_symeig_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5389762Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_t_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5390129Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_take_along_dim_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5390477Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tanh_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5390848Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tensor_split_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5391223Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tensor_split_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5391595Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tensordot_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5391953Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tensordot_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5392319Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tile_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5392676Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tile_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5393021Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_to_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5393374Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_trace_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5393738Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_trapezoid_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5394101Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_trapz_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5394462Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_triangular_solve_cpu_complex128 XFAIL [ 24%] 2022-12-01T10:31:31.5394885Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_triangular_solve_cpu_float64 XFAIL [ 24%] 2022-12-01T10:31:31.5395255Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tril_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5395610Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_tril_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5395960Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_true_divide_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5396320Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unbind_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5396714Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unflatten_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5397069Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unflatten_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5397431Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unfold_cpu_complex128 PASSED [ 24%] 2022-12-01T10:31:31.5397794Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unfold_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5398329Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%] 2022-12-01T10:31:31.5398895Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%] 2022-12-01T10:31:31.5399313Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_unsqueeze_cpu_float64 PASSED [ 24%] 2022-12-01T10:31:31.5399678Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_var_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5400043Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_var_mean_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5400395Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_vdot_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5400758Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_view_as_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5401124Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_view_as_real_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5401490Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_view_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5401829Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_view_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5402193Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_vsplit_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5402559Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_vstack_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5402903Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_xlogy_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5403258Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_zero__cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5403801Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%] 2022-12-01T10:31:31.5404385Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%] 2022-12-01T10:31:31.5404961Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%] 2022-12-01T10:31:31.5405551Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%] 2022-12-01T10:31:31.5405963Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___radd___cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5406314Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rmatmul___cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5406697Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rmatmul___cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5407154Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rmul___cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5407495Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rmul___cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5407857Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 25%] 2022-12-01T10:31:31.5408205Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad___rsub___cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5408550Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_acos_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5408949Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_acos_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5409277Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_acosh_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5409619Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_add_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5409966Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addbmm_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5410387Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addcdiv_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5410726Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addcmul_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5411079Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addcmul_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5411422Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addmm_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5411762Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addmm_decomposed_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5412120Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addmv_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5412460Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_addmv_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5412862Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_all_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:31.5413301Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_all_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-12-01T10:31:31.5413689Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_amax_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:31.5414031Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_angle_cpu_complex128 PASSED [ 25%] 2022-12-01T10:31:31.5414435Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_any_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:31.5414872Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_any_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:31.5415318Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_argmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:31.5415777Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_argwhere_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:31.5416230Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_argwhere_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:31.5416623Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_as_strided_scatter_cpu_complex128 XFAIL [ 26%] 2022-12-01T10:31:31.5416987Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_as_strided_scatter_cpu_float64 XFAIL [ 26%] 2022-12-01T10:31:31.5417340Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_asinh_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5417684Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atan2_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5418006Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atan_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5418350Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atleast_2d_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5418750Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_atleast_3d_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5419080Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_baddbmm_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5419420Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bfloat16_cpu_complex128 XFAIL [ 26%] 2022-12-01T10:31:31.5419761Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bfloat16_cpu_float64 XFAIL [ 26%] 2022-12-01T10:31:31.5420108Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_block_diag_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5420478Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bmm_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5420815Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_bmm_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5421175Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_broadcast_tensors_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5421538Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_broadcast_tensors_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5421899Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_broadcast_to_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5422307Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_byte_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:31.5422767Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_byte_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-12-01T10:31:31.5423158Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cartesian_prod_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5423515Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cat_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5423853Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cdist_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5424211Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cholesky_inverse_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5424566Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cholesky_inverse_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5424927Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cholesky_solve_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5425277Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_clamp_max_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5425615Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_clone_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5425947Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_combinations_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5426294Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_complex_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5426633Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_conj_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5426957Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_conj_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5427309Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_conj_physical_cpu_complex128 PASSED [ 26%] 2022-12-01T10:31:31.5427667Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_conj_physical_cpu_float64 PASSED [ 26%] 2022-12-01T10:31:31.5428021Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_contiguous_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5428357Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_contiguous_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5428704Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_corrcoef_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5429045Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cos_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5429279Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:31.5429439Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cross_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5429617Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cross_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5429774Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cummax_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5429939Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cumprod_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5430100Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cumsum_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5430277Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_cumulative_trapezoid_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5430436Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_deg2rad_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5430636Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diag_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5430804Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diag_embed_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5430955Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diagonal_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5431131Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diagonal_scatter_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5431292Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_diff_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5431450Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_digamma_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5431623Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_div_floor_rounding_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5431795Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_div_no_rounding_mode_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5431959Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dsplit_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5432123Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_dsplit_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5432353Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_empty_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:31.5432563Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_eq_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:31.5432723Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_erf_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5432881Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_erfinv_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5433047Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_expand_as_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5433210Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_expand_as_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5433371Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_expm1_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5433590Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_eye_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-12-01T10:31:31.5433757Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fft2_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5433919Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_fft2_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5434071Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_hfft_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5434237Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifft2_cpu_complex128 PASSED [ 27%] 2022-12-01T10:31:31.5434400Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifft_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5434569Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_ifftshift_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5434733Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_irfft2_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5434894Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_irfft_cpu_float64 PASSED [ 27%] 2022-12-01T10:31:31.5435061Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_irfftn_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5435250Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_rfft2_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5435394Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fft_rfftn_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5435551Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fill_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5435706Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_flip_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5435866Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fliplr_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5436026Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fliplr_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5436224Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_flipud_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5436384Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_flipud_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5436542Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_float_cpu_complex128 XFAIL [ 28%] 2022-12-01T10:31:31.5436683Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_float_cpu_float64 XFAIL [ 28%] 2022-12-01T10:31:31.5436841Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_floor_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5437069Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_floor_divide_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5437229Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fmax_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5437383Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_fmin_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5437611Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_full_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5437832Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_full_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5437993Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_gather_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5438216Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_geqrf_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5438437Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_geqrf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5438591Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_gradient_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5438803Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_gt_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5438965Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_half_cpu_complex128 XFAIL [ 28%] 2022-12-01T10:31:31.5439121Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_half_cpu_float64 XFAIL [ 28%] 2022-12-01T10:31:31.5439343Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_heaviside_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5439563Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_histc_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5439730Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_hsplit_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5439888Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_i0_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5440110Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_igamma_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5440319Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_igammac_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-12-01T10:31:31.5440486Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_add_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5440655Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_fill_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5440851Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_fill_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5441018Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_put_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5441189Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_select_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5441352Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_index_select_cpu_float64 PASSED [ 28%] 2022-12-01T10:31:31.5441513Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_inner_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:31.5441700Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_inner_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5441903Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_int_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5442126Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isclose_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5442349Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isfinite_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5442563Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5442785Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isinf_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5443006Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isneginf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5443226Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_isposinf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5443384Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_istft_cpu_float64 XFAIL [ 29%] 2022-12-01T10:31:31.5443593Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:31.5443785Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:31.5443977Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:31.5444171Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:31.5444363Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 29%] 2022-12-01T10:31:31.5444527Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_kron_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5444685Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_kron_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5444851Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lerp_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5445009Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lerp_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5445166Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lgamma_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5445348Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_det_singular_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5445512Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_det_singular_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5445682Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eig_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5445853Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eigh_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5446026Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_eigvals_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5446246Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_householder_product_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5446408Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_inv_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5446580Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_inv_ex_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5446746Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_inv_ex_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5447088Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5447356Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5447591Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5447824Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-12-01T10:31:31.5448008Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 29%] 2022-12-01T10:31:31.5448187Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 29%] 2022-12-01T10:31:31.5448376Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5448538Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5448714Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_factor_cpu_float64 PASSED [ 29%] 2022-12-01T10:31:31.5448891Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_factor_ex_cpu_complex128 PASSED [ 29%] 2022-12-01T10:31:31.5449066Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_lu_factor_ex_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5449229Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_norm_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5449401Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_norm_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5449632Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:31.5449875Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:31.5450177Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:31.5450357Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_multi_dot_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5450528Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_multi_dot_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5450699Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_norm_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5450867Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_norm_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5451042Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 30%] 2022-12-01T10:31:31.5451207Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_pinv_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5451392Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_pinv_hermitian_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5451638Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 30%] 2022-12-01T10:31:31.5451851Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_qr_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5452013Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_qr_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5452184Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_slogdet_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5452351Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_solve_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5452531Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_solve_triangular_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5452681Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_svd_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5452883Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_tensorinv_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5453065Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_tensorsolve_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5453241Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_tensorsolve_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5453413Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_vander_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5453585Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_vecdot_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5453747Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log10_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5453908Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log10_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5454065Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log1p_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5454208Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log2_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5454369Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5454532Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5454710Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log_softmax_dtype_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5454892Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_log_softmax_dtype_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5455057Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logaddexp_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5455219Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logdet_cpu_complex128 PASSED [ 30%] 2022-12-01T10:31:31.5455380Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logdet_cpu_float64 PASSED [ 30%] 2022-12-01T10:31:31.5455596Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_not_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-12-01T10:31:31.5455823Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_not_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5456049Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_or_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5456274Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_or_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5456502Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logical_xor_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5456664Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logit_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5456893Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logspace_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5457117Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_logspace_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5457335Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_long_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5457583Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_long_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5457795Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lt_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5457941Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lu_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5458106Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lu_solve_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5458299Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lu_unpack_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5458462Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_lu_unpack_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5458622Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mH_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5458782Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mH_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5458934Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mT_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5459160Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_argmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-12-01T10:31:31.5459332Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_cumprod_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5459490Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_cumprod_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5459667Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_cumsum_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5459835Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_cumsum_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5460006Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_logaddexp_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5460179Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_logsumexp_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5460346Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_median_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5460515Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_norm_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5460691Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_normalize_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5460846Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_prod_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5461022Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_scatter_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5461194Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_softmin_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5461360Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_std_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5461525Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_sum_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5461694Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_masked_var_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5461863Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_matrix_exp_cpu_complex128 PASSED [ 31%] 2022-12-01T10:31:31.5462027Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_matrix_exp_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5462190Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_max_binary_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5462353Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_max_reduction_with_dim_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5462514Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_maximum_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:31.5462672Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mean_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5462855Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_meshgrid_list_of_tensors_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5463067Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_meshgrid_variadic_tensors_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5463233Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_min_binary_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5463393Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_minimum_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5463553Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mm_cpu_complex128 PASSED [ 32%] 2022-12-01T10:31:31.5463693Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mm_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5463882Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_movedim_cpu_complex128 PASSED [ 32%] 2022-12-01T10:31:31.5464043Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mul_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5464270Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_multinomial_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5464430Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mv_cpu_complex128 PASSED [ 32%] 2022-12-01T10:31:31.5464584Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mv_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5464760Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5464933Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5465111Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5465258Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nanmean_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5465419Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nanmedian_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5465585Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nanquantile_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5465744Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nansum_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5465974Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5466198Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_narrow_copy_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5466368Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_native_batch_norm_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5466584Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ne_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5466748Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_neg_cpu_complex128 PASSED [ 32%] 2022-12-01T10:31:31.5466889Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_neg_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5467121Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5467354Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5467575Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_new_full_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5467792Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_new_ones_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 32%] 2022-12-01T10:31:31.5467994Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5468182Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5468373Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5468592Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5468778Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5468956Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5469141Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5469366Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_avg_pool2d_cpu_float64 PASSED [ 32%] 2022-12-01T10:31:31.5469541Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_batch_norm_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5469728Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_binary_cross_entropy_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5469914Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_conv2d_cpu_complex128 PASSED [ 33%] 2022-12-01T10:31:31.5470088Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_conv2d_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5470273Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_conv_transpose1d_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5470462Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5470646Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_cosine_similarity_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5470809Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_ctc_loss_cpu_float64 XFAIL [ 33%] 2022-12-01T10:31:31.5470988Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_dropout3d_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5471158Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_elu_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5471372Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 33%] 2022-12-01T10:31:31.5471560Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5471732Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_gelu_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5471911Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_grid_sample_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5472089Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_group_norm_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5472275Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_hardshrink_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5472449Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_hardtanh_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5472626Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_huber_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5472806Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_instance_norm_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5472991Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_interpolate_area_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5473178Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_interpolate_bicubic_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5473368Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_interpolate_linear_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5473556Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_interpolate_nearest_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5473726Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_kl_div_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5473932Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_l1_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5474095Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_leaky_relu_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5474268Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_linear_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5474450Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5474627Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_max_pool1d_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5474826Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_max_pool2d_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5475002Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_max_pool3d_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5475186Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5475379Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped!) [ 33%] 2022-12-01T10:31:31.5475549Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_mse_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5475718Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_multi_margin_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5475908Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_multilabel_margin_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5476080Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_nll_loss_cpu_float64 PASSED [ 33%] 2022-12-01T10:31:31.5476260Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_normalize_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5476445Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pad_constant_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5476629Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pad_constant_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5476814Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pad_reflect_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5477000Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pad_replicate_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5477180Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pad_replicate_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5477356Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pairwise_distance_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5477536Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5477721Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_pixel_unshuffle_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5477892Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_prelu_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5478061Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_selu_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5478300Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-12-01T10:31:31.5478473Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_silu_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5478655Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5478838Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5479010Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_softmin_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5479173Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_softplus_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5479379Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_softsign_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5479561Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_tanhshrink_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5479763Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5479940Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_unfold_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5480112Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_unfold_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5480322Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nn_functional_upsample_nearest_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5480548Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_nonzero_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-12-01T10:31:31.5480711Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_norm_inf_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5480919Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ones_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-12-01T10:31:31.5481138Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ones_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-12-01T10:31:31.5481357Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_ones_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-12-01T10:31:31.5481522Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_permute_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5481680Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_polar_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5481870Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 34%] 2022-12-01T10:31:31.5482057Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 34%] 2022-12-01T10:31:31.5482237Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 34%] 2022-12-01T10:31:31.5482397Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_positive_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5482545Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_prod_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5482706Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_put_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5482865Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_put_cpu_float64 PASSED [ 34%] 2022-12-01T10:31:31.5483022Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_qr_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:31.5483181Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_qr_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5483342Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rad2deg_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5483571Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rand_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:31.5483728Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_real_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5483884Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_real_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5484040Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_reciprocal_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5484203Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_reciprocal_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5484367Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_renorm_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5484524Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_renorm_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5484685Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_repeat_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5484897Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_repeat_interleave_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5485121Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_resize_as__cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:31.5485293Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_resolve_conj_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5485457Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_resolve_conj_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5485612Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_resolve_neg_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5485800Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rot90_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5485955Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rot90_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5486124Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_round_decimals_0_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5486312Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 35%] 2022-12-01T10:31:31.5486496Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 35%] 2022-12-01T10:31:31.5486655Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rsqrt_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5486813Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rsqrt_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5487069Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rsub_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5487226Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_rsub_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5487392Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_scatter_add_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5487550Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_scatter_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5487726Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_scatter_reduce_prod_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5487954Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_searchsorted_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:31.5488131Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_segment_reduce_lengths_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5488310Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_segment_reduce_offsets_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5488470Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_select_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5488618Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sgn_cpu_float64 PASSED [ 35%] 2022-12-01T10:31:31.5488839Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_short_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:31.5489058Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_short_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:31.5489223Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sigmoid_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5489441Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_signbit_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%] 2022-12-01T10:31:31.5489599Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sin_cpu_complex128 PASSED [ 35%] 2022-12-01T10:31:31.5489758Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sinc_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5489916Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sinc_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5490155Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_slice_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5490303Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_slice_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5490548Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped!) [ 36%] 2022-12-01T10:31:31.5490782Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5491012Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5491254Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5491533Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5491699Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_i1_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5492139Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 36%] 2022-12-01T10:31:31.5492312Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_log_ndtr_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5492552Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5492780Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5493016Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5493247Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5493418Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_ndtri_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5493619Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5493863Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5494099Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5494269Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_xlog1py_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5494497Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_special_zeta_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%] 2022-12-01T10:31:31.5494658Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_split_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5494819Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sqrt_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5494967Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_square_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5495125Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_stack_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5495283Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_std_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5495445Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_std_mean_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5495603Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sub_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5495756Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sum_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5495925Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_sum_to_size_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5496116Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_svd_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5496259Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_symeig_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5496414Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_t_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5496567Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_t_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5496734Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_take_along_dim_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5496894Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_take_cpu_complex128 PASSED [ 36%] 2022-12-01T10:31:31.5497077Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tan_cpu_float64 PASSED [ 36%] 2022-12-01T10:31:31.5497238Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tanh_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5497392Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tanh_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5497547Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tensor_split_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5497713Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tensordot_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5497875Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tensordot_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5498100Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_to_sparse_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:31.5498265Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_trace_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5498430Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_transpose_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5498594Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_trapezoid_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5498755Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_trapz_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5498932Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_triangular_solve_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5499090Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_triangular_solve_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5499251Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tril_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5499403Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_tril_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5499563Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_true_divide_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5499722Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_trunc_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5499877Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unbind_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5500037Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unfold_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5500263Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_uniform_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:31.5500484Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_uniform_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:31.5500700Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:31.5500869Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unsqueeze_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5501030Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_unsqueeze_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5501190Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_var_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5501349Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_vdot_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5501518Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_view_as_complex_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5501713Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_view_as_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5501873Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_view_cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5502031Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_where_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5502172Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_xlogy_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5502329Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_zero__cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5502577Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_zeros_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:31.5502799Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_zeros_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%] 2022-12-01T10:31:31.5502953Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_H_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5503129Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___getitem___cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5503298Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___getitem___cpu_float64 PASSED [ 37%] 2022-12-01T10:31:31.5503468Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___radd___cpu_complex128 PASSED [ 37%] 2022-12-01T10:31:31.5503634Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rdiv___cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5503784Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rmul___cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5503971Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 38%] 2022-12-01T10:31:31.5504151Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rpow___cpu_float64 SKIPPED (Skipped!) [ 38%] 2022-12-01T10:31:31.5504318Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rsub___cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5504486Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad___rsub___cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5504647Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_abs_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5504813Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_acosh_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5504974Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_add_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5505132Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addbmm_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5505300Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addbmm_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5505469Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addcmul_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5505635Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addcmul_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5505798Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addmm_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5505976Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addmm_decomposed_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5506141Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_addr_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5506481Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5506810Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5507130Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5507293Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_amax_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5507651Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5507978Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5508296Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5508626Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5508987Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5509325Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5509657Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%] 2022-12-01T10:31:31.5509851Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 38%] 2022-12-01T10:31:31.5510041Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 38%] 2022-12-01T10:31:31.5510209Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_as_strided_scatter_cpu_float64 XFAIL [ 38%] 2022-12-01T10:31:31.5510380Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_asin_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5510543Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atan2_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5510708Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atanh_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5510891Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atleast_1d_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5511065Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atleast_2d_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5511242Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_atleast_3d_cpu_complex128 PASSED [ 38%] 2022-12-01T10:31:31.5511411Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_baddbmm_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5511582Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bernoulli_cpu_float64 PASSED [ 38%] 2022-12-01T10:31:31.5511739Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bfloat16_cpu_complex128 XFAIL [ 39%] 2022-12-01T10:31:31.5511914Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_block_diag_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5512085Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_block_diag_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5512254Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bmm_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5512443Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_broadcast_tensors_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5512617Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_broadcast_to_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5512953Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%] 2022-12-01T10:31:31.5513282Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%] 2022-12-01T10:31:31.5513465Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cartesian_prod_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5513628Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cartesian_prod_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5513795Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cat_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5513992Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cat_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5514331Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cdist_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 39%] 2022-12-01T10:31:31.5514495Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ceil_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5514664Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_chunk_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5514835Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_clamp_max_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5515033Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_clamp_min_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5515202Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_clone_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5515350Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_clone_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5515528Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_column_stack_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5515701Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_column_stack_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5515876Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_combinations_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5516041Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_complex_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5516199Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_conj_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5516375Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_conj_physical_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5516554Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_constant_pad_nd_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5516716Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_constant_pad_nd_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5516888Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_corrcoef_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5517055Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_corrcoef_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5517216Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cos_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5517379Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cosh_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5517721Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%] 2022-12-01T10:31:31.5518060Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%] 2022-12-01T10:31:31.5518229Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cross_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5518393Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cross_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5518544Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cummin_cpu_float64 PASSED [ 39%] 2022-12-01T10:31:31.5518711Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cumsum_cpu_complex128 PASSED [ 39%] 2022-12-01T10:31:31.5518900Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cumulative_trapezoid_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5519083Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_cumulative_trapezoid_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5519255Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diag_embed_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5519427Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diag_embed_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5519595Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diagflat_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5519772Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_diagonal_scatter_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5519967Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_digamma_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5520120Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dist_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5520281Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dist_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5520461Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_div_floor_rounding_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5520647Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_div_no_rounding_mode_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5520855Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_div_trunc_rounding_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5521020Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dot_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5521187Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_double_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5521359Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dsplit_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5521526Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dsplit_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5521678Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dstack_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5521841Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_dstack_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5522178Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:31.5522517Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:31.5522838Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:31.5523169Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:31.5523493Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:31.5523661Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_erfc_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5523827Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_exp2_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5523990Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_expand_as_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5524153Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_expand_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5524316Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_expm1_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5524650Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:31.5524975Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-12-01T10:31:31.5525148Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fft2_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5525313Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fft2_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5525482Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fftn_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5525663Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_fftshift_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5525820Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_hfft2_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5525992Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_hfft_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:31.5526190Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_hfft_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5526357Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_hfftn_cpu_float64 PASSED [ 40%] 2022-12-01T10:31:31.5526527Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifft2_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5526694Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifft2_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5526857Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifft_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5527218Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ifftshift_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5527385Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_ihfft_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5527541Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_irfft2_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5527713Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_irfft_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5527886Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_irfftn_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5528055Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_irfftn_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5528222Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fft_rfft2_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5528385Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fill_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5528553Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_flatten_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5528718Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fliplr_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5528882Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_float_cpu_complex128 XFAIL [ 41%] 2022-12-01T10:31:31.5529031Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_float_cpu_float64 XFAIL [ 41%] 2022-12-01T10:31:31.5529206Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_float_power_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5529367Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fmax_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5529523Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_fmin_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5529846Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:31.5530091Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_gradient_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5530420Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:31.5530748Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:31.5531083Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:31.5531235Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_hstack_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5531397Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_hypot_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5531563Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_add_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5531742Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_copy_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5531912Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_copy_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5532081Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_fill_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5532309Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_put_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5532476Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_put_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5532647Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_reduce_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5532811Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_select_cpu_complex128 PASSED [ 41%] 2022-12-01T10:31:31.5532987Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_index_select_cpu_float64 PASSED [ 41%] 2022-12-01T10:31:31.5533347Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:31.5533683Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:31.5534013Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-12-01T10:31:31.5534340Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5534664Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5534992Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5535325Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5535649Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5535963Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5536134Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_istft_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5536298Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_istft_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5536505Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 42%] 2022-12-01T10:31:31.5536701Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 42%] 2022-12-01T10:31:31.5536918Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 42%] 2022-12-01T10:31:31.5537084Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_kron_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5537255Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ldexp_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5537419Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ldexp_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5537568Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lerp_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5537745Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cond_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5537919Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_det_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5538089Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_det_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5538276Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_det_singular_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5538448Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eig_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5538623Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eigh_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5538824Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eigh_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5539004Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_eigvals_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5539182Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_householder_product_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5539353Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_inv_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5539531Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_inv_ex_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5539730Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_inv_ex_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5540085Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5540430Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5540784Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5541130Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5541318Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 42%] 2022-12-01T10:31:31.5541493Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_cpu_complex128 PASSED [ 42%] 2022-12-01T10:31:31.5541648Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_lu_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5541827Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_norm_cpu_float64 PASSED [ 42%] 2022-12-01T10:31:31.5542179Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5542524Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-12-01T10:31:31.5542886Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5543067Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_multi_dot_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5543245Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_norm_cpu_complex128 XFAIL [ 43%] 2022-12-01T10:31:31.5543413Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_norm_cpu_float64 XFAIL [ 43%] 2022-12-01T10:31:31.5543608Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 43%] 2022-12-01T10:31:31.5543858Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 43%] 2022-12-01T10:31:31.5544087Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 43%] 2022-12-01T10:31:31.5544264Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_qr_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5544441Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_solve_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5544629Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_solve_triangular_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5544817Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_solve_triangular_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5545033Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_svd_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5545217Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_svdvals_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5545391Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_svdvals_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5545568Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_vecdot_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5545920Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5546256Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5546427Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log10_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5546592Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log10_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5546753Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log1p_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5546916Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log2_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5547086Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log_softmax_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5547269Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log_softmax_dtype_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5547449Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_log_softmax_dtype_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5547606Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logaddexp2_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5547777Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logaddexp_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5547951Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logcumsumexp_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5548119Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logdet_cpu_complex128 PASSED [ 43%] 2022-12-01T10:31:31.5548285Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logdet_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5548633Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5548969Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5549308Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5549639Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5549975Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5550125Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logit_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5550460Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5550791Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-12-01T10:31:31.5550962Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_logsumexp_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:31.5551290Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:31.5551641Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:31.5551953Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:31.5552116Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lu_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5552288Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lu_solve_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5552453Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lu_solve_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5552649Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_lu_unpack_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5552812Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mH_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5553153Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-12-01T10:31:31.5553336Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_cumprod_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5553511Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_cumprod_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5553690Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_cumsum_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5553863Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_cumsum_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5554036Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_fill_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5554229Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_logaddexp_cpu_float64 SKIPPED (Skipped!) [ 44%] 2022-12-01T10:31:31.5554392Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_logsumexp_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5554569Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_normalize_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5554742Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_prod_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5554911Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_masked_select_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5555081Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_matmul_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5555253Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_matrix_exp_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5555424Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_matrix_exp_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5555606Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_max_reduction_no_dim_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5555788Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_max_reduction_with_dim_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5555945Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_min_binary_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5556128Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_min_reduction_with_dim_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5556292Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_minimum_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5556454Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mm_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5556614Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mm_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5556776Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mode_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5556947Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_movedim_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5557110Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_msort_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5557290Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mul_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5557450Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mv_cpu_complex128 PASSED [ 44%] 2022-12-01T10:31:31.5557631Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5557812Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5557979Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nanmedian_cpu_float64 PASSED [ 44%] 2022-12-01T10:31:31.5558143Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_narrow_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5558345Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_native_batch_norm_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5558669Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-12-01T10:31:31.5558832Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_neg_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5559156Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-12-01T10:31:31.5559506Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-12-01T10:31:31.5559841Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-12-01T10:31:31.5560053Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5560249Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5560434Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool1d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5560623Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool2d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5560809Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_batch_norm_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5560995Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv1d_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:31.5561179Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv2d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5561360Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose1d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5561550Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose2d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5561749Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5561943Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_cosine_similarity_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5562132Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_cross_entropy_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5562312Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_ctc_loss_cpu_float64 XFAIL [ 45%] 2022-12-01T10:31:31.5562497Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_dropout3d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5562681Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_dropout_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5562860Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_elu_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5563057Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5563309Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 45%] 2022-12-01T10:31:31.5563522Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5563718Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5563915Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5564135Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5564313Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_glu_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5564683Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_grid_sample_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 45%] 2022-12-01T10:31:31.5564873Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_group_norm_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5565061Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_hardshrink_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5565415Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_hardsigmoid_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 45%] 2022-12-01T10:31:31.5565601Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_hardswish_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5565787Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_huber_loss_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5565980Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_instance_norm_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5566175Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_area_cpu_float64 PASSED [ 45%] 2022-12-01T10:31:31.5566372Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_bilinear_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5566571Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_nearest_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5566754Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_kl_div_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5566940Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_l1_loss_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5567244Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_l1_loss_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5567415Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_leaky_relu_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5567602Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_linear_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5567801Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_local_response_norm_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5567987Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_logsigmoid_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5568170Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_pool2d_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5568373Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped!) [ 46%] 2022-12-01T10:31:31.5568567Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool3d_grad_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5568750Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_mse_loss_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5569142Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 46%] 2022-12-01T10:31:31.5569368Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_circular_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5569556Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_circular_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5569741Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_reflect_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5569934Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pad_replicate_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5570240Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pixel_unshuffle_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5570440Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_pixel_unshuffle_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5570646Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_poisson_nll_loss_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5570828Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_prelu_cpu_float64 XFAIL [ 46%] 2022-12-01T10:31:31.5571010Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_relu6_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5571190Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_relu_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5571355Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_rrelu_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5571537Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_selu_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5571909Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-12-01T10:31:31.5572098Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5572292Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5572491Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_softmin_with_dtype_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5572678Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_softshrink_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5572869Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_tanhshrink_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5573056Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_tanhshrink_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5573240Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5573435Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5573648Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 46%] 2022-12-01T10:31:31.5573831Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_unfold_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:31.5574024Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nn_functional_upsample_bilinear_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5574359Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5574692Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5574857Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5575031Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_fro_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5575232Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_inf_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5575385Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_inf_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5575553Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_nuc_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5575717Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_norm_nuc_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5575927Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 47%] 2022-12-01T10:31:31.5576279Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ormqr_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5576442Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_outer_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5576615Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_permute_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5576781Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_pinverse_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5576977Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 47%] 2022-12-01T10:31:31.5577159Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 47%] 2022-12-01T10:31:31.5577359Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 47%] 2022-12-01T10:31:31.5577551Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 47%] 2022-12-01T10:31:31.5577723Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_positive_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5577889Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_positive_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5578053Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_pow_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5578216Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_prod_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5578375Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_put_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5578540Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rad2deg_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5578866Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5579199Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5579528Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5579860Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5580183Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5580351Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_ravel_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5580516Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_real_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5580688Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_renorm_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5580856Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_repeat_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5581026Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_repeat_interleave_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5581228Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_reshape_as_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5581560Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-12-01T10:31:31.5581739Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resolve_conj_cpu_complex128 PASSED [ 47%] 2022-12-01T10:31:31.5581912Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resolve_conj_cpu_float64 PASSED [ 47%] 2022-12-01T10:31:31.5582086Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_resolve_neg_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:31.5582280Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_roll_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:31.5582444Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_rot90_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5582622Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_round_decimals_0_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5582798Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 48%] 2022-12-01T10:31:31.5582975Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_add_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:31.5583143Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:31.5583323Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_reduce_amax_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5583500Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_reduce_amin_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5583683Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_scatter_reduce_prod_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5584050Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_segment_reduce_offsets_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 48%] 2022-12-01T10:31:31.5584223Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_select_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:31.5584396Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_select_scatter_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5584557Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sgn_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5584876Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5585201Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5585366Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sign_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5585527Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sin_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5585691Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sinc_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5585855Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sinh_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5586018Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_slice_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5586192Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_slice_scatter_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5586362Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_softmax_with_dtype_cpu_complex128 PASSED [ 48%] 2022-12-01T10:31:31.5586539Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_softmax_with_dtype_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5586706Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sort_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5587047Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5587418Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5587763Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5588100Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5588478Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 48%] 2022-12-01T10:31:31.5588681Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_entr_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5589045Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5589410Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5589567Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_i1e_cpu_float64 PASSED [ 48%] 2022-12-01T10:31:31.5589929Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5590291Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5590648Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-12-01T10:31:31.5590998Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:31.5591176Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_ndtr_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5591540Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:31.5591905Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:31.5592297Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 49%] 2022-12-01T10:31:31.5592682Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 49%] 2022-12-01T10:31:31.5593046Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:31.5593387Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-12-01T10:31:31.5593551Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_split_list_args_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5593732Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_split_with_sizes_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5593917Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_split_with_sizes_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5594089Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sqrt_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5594252Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_square_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5594449Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_squeeze_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5594601Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_std_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5594770Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_std_mean_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5594934Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_std_mean_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5595098Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_stft_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5595295Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sub_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5595459Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sum_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5595620Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sum_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5595795Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_sum_to_size_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5595962Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_svd_lowrank_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5596117Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_symeig_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5596276Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_t_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5596439Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_take_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5596604Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tanh_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5596765Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tanh_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5596938Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tensor_split_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5597108Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tensordot_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5597273Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tile_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5597433Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_to_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5597581Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_to_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5597918Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_to_sparse_cpu_complex128 SKIPPED (Skipped! 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[ 49%] 2022-12-01T10:31:31.5598080Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_topk_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5598246Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_trace_cpu_complex128 PASSED [ 49%] 2022-12-01T10:31:31.5598414Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_transpose_cpu_float64 PASSED [ 49%] 2022-12-01T10:31:31.5598596Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_triangular_solve_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5598760Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_tril_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5598929Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_true_divide_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5599081Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unbind_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5599253Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unflatten_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5599589Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_uniform_cpu_complex128 SKIPPED (Skipped! 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[ 50%] 2022-12-01T10:31:31.5600782Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_unsqueeze_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5600947Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_var_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5601107Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_var_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5601302Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_vdot_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5601457Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_view_as_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5601617Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_view_as_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5601782Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_view_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5601942Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_view_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5602107Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_vsplit_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5602271Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_vsplit_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5602435Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_vstack_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5602599Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_where_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5602750Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_xlogy_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5602914Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_zero__cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5603073Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_zero__cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5603415Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! 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[ 50%] 2022-12-01T10:31:31.5603910Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_H_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5604072Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_T_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5604233Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_T_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5604405Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___radd___cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5604574Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rdiv___cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5604739Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rmatmul___cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5604904Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rmatmul___cpu_float64 PASSED [ 50%] 2022-12-01T10:31:31.5605068Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rmul___cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5605254Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rpow___cpu_complex128 SKIPPED (Skipped!) [ 50%] 2022-12-01T10:31:31.5605437Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rpow___cpu_float64 SKIPPED (Skipped!) [ 50%] 2022-12-01T10:31:31.5605611Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD___rsub___cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5605778Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_abs_cpu_complex128 PASSED [ 50%] 2022-12-01T10:31:31.5605942Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_abs_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5606132Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addcmul_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5606299Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addcmul_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5606470Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addmm_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5606637Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addmm_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5606821Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addmm_decomposed_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5607139Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addmm_decomposed_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5607315Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addmv_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5607486Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_addr_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5607820Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5608138Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5608310Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_angle_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5608478Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_angle_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5608807Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5609137Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5609470Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5609804Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5610221Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5610424Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 51%] 2022-12-01T10:31:31.5610615Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_as_strided_scatter_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5610797Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_as_strided_scatter_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5610949Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_asinh_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5611120Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atan_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5611294Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atanh_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5611459Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atanh_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5611636Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atleast_1d_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5611808Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atleast_1d_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5611979Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atleast_2d_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5612143Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_atleast_3d_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5612298Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_baddbmm_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5612515Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bernoulli_cpu_float64 XFAIL [ 51%] 2022-12-01T10:31:31.5612691Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_block_diag_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5612853Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bmm_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5613187Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-12-01T10:31:31.5613371Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_broadcast_tensors_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5613583Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_broadcast_tensors_cpu_float64 PASSED [ 51%] 2022-12-01T10:31:31.5613763Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_broadcast_to_cpu_complex128 PASSED [ 51%] 2022-12-01T10:31:31.5614099Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%] 2022-12-01T10:31:31.5614431Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%] 2022-12-01T10:31:31.5614602Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cartesian_prod_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5614771Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cat_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5614937Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ceil_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5615108Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_chalf_cpu_complex128 XFAIL [ 52%] 2022-12-01T10:31:31.5615284Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cholesky_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5615453Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cholesky_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5615635Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cholesky_solve_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5615813Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cholesky_solve_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5615983Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_chunk_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5616138Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_clamp_min_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5616307Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_clone_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5616473Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_clone_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5616650Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_column_stack_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5616824Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_combinations_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5617002Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_combinations_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5617183Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_constant_pad_nd_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5617358Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_contiguous_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5617531Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_corrcoef_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5617689Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_corrcoef_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5617858Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cosh_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5618024Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cummin_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5618196Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cumprod_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5618408Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_cumulative_trapezoid_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5618577Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diag_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5618752Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diag_embed_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5618922Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diag_embed_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5619078Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diagonal_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5619268Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_diff_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5619437Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_digamma_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5619597Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dist_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5619787Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_div_no_rounding_mode_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5619970Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_div_no_rounding_mode_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5620143Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_double_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5620310Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_double_cpu_float64 PASSED [ 52%] 2022-12-01T10:31:31.5620482Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dsplit_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5620640Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dstack_cpu_complex128 PASSED [ 52%] 2022-12-01T10:31:31.5620807Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_dstack_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5621143Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:31.5621490Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:31.5621828Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:31.5622150Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:31.5622486Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:31.5622650Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_erf_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5622814Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_erfc_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5622976Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_exp_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5623129Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_expand_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5623294Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_expm1_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5623464Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fft2_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5623636Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fftn_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5623806Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_fftn_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5623979Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_hfft_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5624149Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_hfftn_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5624351Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifft2_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5624517Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifft2_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5624680Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifftn_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5624855Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_ifftshift_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5625029Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_irfft2_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5625229Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_irfft_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5625399Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fft_rfftn_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5625568Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_flip_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5625732Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_flip_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5625900Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fliplr_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5626057Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_flipud_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:31.5626226Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_flipud_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5626388Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_float_cpu_float64 XFAIL [ 53%] 2022-12-01T10:31:31.5626552Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_floor_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5626894Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:31.5627059Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fmax_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5627221Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fmin_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5627379Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_fmod_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5627540Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_frac_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5627691Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_frexp_cpu_float64 PASSED [ 53%] 2022-12-01T10:31:31.5628029Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%] 2022-12-01T10:31:31.5628195Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_gather_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5628527Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5628702Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_gradient_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5628868Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_gradient_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5629193Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5629360Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_half_cpu_complex128 XFAIL [ 54%] 2022-12-01T10:31:31.5629700Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5630027Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5630347Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5630544Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_hsplit_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5630716Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_hstack_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5630885Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_hstack_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5631050Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_hypot_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5631405Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5631577Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_imag_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5631752Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_add_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5631931Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_select_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5632093Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_index_select_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5632262Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_inner_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5632596Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5632937Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5633278Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5633602Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5633929Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5634265Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5634594Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-12-01T10:31:31.5634807Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 54%] 2022-12-01T10:31:31.5635016Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 54%] 2022-12-01T10:31:31.5635217Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 54%] 2022-12-01T10:31:31.5635414Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 54%] 2022-12-01T10:31:31.5635624Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 54%] 2022-12-01T10:31:31.5635823Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 54%] 2022-12-01T10:31:31.5636023Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 54%] 2022-12-01T10:31:31.5636194Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_kthvalue_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5636364Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ldexp_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5636560Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ldexp_cpu_float64 PASSED [ 54%] 2022-12-01T10:31:31.5636733Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lerp_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5636912Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cond_cpu_complex128 PASSED [ 54%] 2022-12-01T10:31:31.5637073Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cross_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5637248Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_det_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5637461Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_det_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5637637Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eig_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5637813Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eigh_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5637997Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eigvals_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5638172Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eigvals_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5638355Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_eigvalsh_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5638551Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_householder_product_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5638708Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_inv_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5639060Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:31.5639252Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 55%] 2022-12-01T10:31:31.5639440Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 55%] 2022-12-01T10:31:31.5639614Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5639781Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5639965Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_factor_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5640141Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_factor_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5640321Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_lu_solve_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5640495Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_power_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5640848Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:31.5641215Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 55%] 2022-12-01T10:31:31.5641394Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_multi_dot_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5641570Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_norm_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5641771Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 55%] 2022-12-01T10:31:31.5641948Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_pinv_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5642197Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 55%] 2022-12-01T10:31:31.5642401Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_qr_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5642571Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_qr_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5642736Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_slogdet_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5642914Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_solve_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5643089Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_solve_ex_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5643302Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_solve_triangular_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5643479Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_svd_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5643648Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_svd_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5643827Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_vander_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5644001Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_vander_cpu_float64 PASSED [ 55%] 2022-12-01T10:31:31.5644178Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_vecdot_cpu_complex128 PASSED [ 55%] 2022-12-01T10:31:31.5644337Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_vecdot_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5644678Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:31.5644848Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log2_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5645011Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_log_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5645185Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logaddexp2_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5645354Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logaddexp_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5645531Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logcumsumexp_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5645866Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:31.5646213Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:31.5646532Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:31.5646874Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:31.5647308Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:31.5647472Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lu_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5647647Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lu_solve_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5647816Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lu_solve_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5647994Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_lu_unpack_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5648157Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mH_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5648330Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_amin_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5648719Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-12-01T10:31:31.5648883Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_cumprod_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5649062Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_cumsum_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5649235Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_cumsum_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5649444Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_fill_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5649623Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_mean_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5649796Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_mean_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5649984Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_normalize_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5650236Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_prod_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5650424Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_scatter_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5650585Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_scatter_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5650767Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_select_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5650947Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_sum_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5651120Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_sum_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5651296Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_var_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5651468Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_masked_var_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5651637Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_matmul_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5651814Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_matrix_exp_cpu_complex128 PASSED [ 56%] 2022-12-01T10:31:31.5651987Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_matrix_exp_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5652141Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_max_binary_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:31.5652328Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_max_reduction_no_dim_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5652497Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_maximum_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5652665Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_median_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5652857Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_meshgrid_list_of_tensors_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5653053Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:31.5653227Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_min_binary_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5653410Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_min_reduction_no_dim_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5653571Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mm_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5653725Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mul_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:31.5654068Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5654276Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mv_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:31.5654437Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mv_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5654620Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5654836Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5654994Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nanmean_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5655344Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nanmedian_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5655566Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nanquantile_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5655938Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5656190Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_narrow_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:31.5656384Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_narrow_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5656588Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_native_batch_norm_cpu_float64 XFAIL [ 57%] 2022-12-01T10:31:31.5656806Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_native_layer_norm_cpu_float64 SKIPPED (Skipped!) [ 57%] 2022-12-01T10:31:31.5657126Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5657482Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5657707Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_neg_cpu_complex128 PASSED [ 57%] 2022-12-01T10:31:31.5658078Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5658445Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5658799Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5659169Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5659532Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5659892Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-12-01T10:31:31.5660136Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5660319Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5660567Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5660790Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_avg_pool1d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5661004Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_avg_pool2d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5661250Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_avg_pool3d_cpu_float64 PASSED [ 57%] 2022-12-01T10:31:31.5661496Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_batch_norm_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5661707Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_bilinear_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5661937Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_binary_cross_entropy_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5662152Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_celu_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5662388Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv1d_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:31.5662587Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv1d_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5662803Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv2d_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:31.5663025Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_conv_transpose3d_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5663240Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_dropout2d_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5663453Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_dropout3d_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5663672Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_embedding_bag_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5663893Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_embedding_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5664123Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5664348Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_glu_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5664526Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_grid_sample_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5664776Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_group_norm_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5664989Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_hardtanh_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5665201Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_huber_loss_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5665415Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_instance_norm_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5665650Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_interpolate_area_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5665878Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_interpolate_bilinear_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5666108Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5666338Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_l1_loss_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5666557Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_linear_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:31.5666727Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_linear_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5666941Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_logsigmoid_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5667164Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5667381Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_pool1d_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5667592Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_pool3d_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5667837Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64 XFAIL [ 58%] 2022-12-01T10:31:31.5668049Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_unpool3d_cpu_float64 XFAIL [ 58%] 2022-12-01T10:31:31.5668322Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_max_unpool3d_grad_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5668531Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_mish_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5668738Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5668963Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_nll_loss_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5669180Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_normalize_cpu_complex128 PASSED [ 58%] 2022-12-01T10:31:31.5669396Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_circular_cpu_float64 PASSED [ 58%] 2022-12-01T10:31:31.5669617Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_constant_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5669833Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_constant_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5670051Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_reflect_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5670299Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5670524Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pad_replicate_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5670751Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5670937Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5671146Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pdist_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5671366Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5671582Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5671805Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_poisson_nll_loss_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5672050Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_prelu_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5672285Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_relu_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5672696Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:31.5672917Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5673095Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5673318Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5673534Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_softplus_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5673747Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_softshrink_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5673965Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_softsign_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5674229Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_tanhshrink_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5674463Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_threshold_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5674688Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5674914Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5675183Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5675383Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5675598Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_unfold_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5675816Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_unfold_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5676077Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nn_functional_upsample_bilinear_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5676441Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:31.5676661Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5676854Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5677052Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_fro_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5677251Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_inf_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:31.5677411Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_norm_nuc_cpu_float64 PASSED [ 59%] 2022-12-01T10:31:31.5677645Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 59%] 2022-12-01T10:31:31.5677882Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 59%] 2022-12-01T10:31:31.5678245Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-12-01T10:31:31.5678610Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:31.5678823Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_outer_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5679032Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_pinverse_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5679232Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_pinverse_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5679430Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_polar_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5679657Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 60%] 2022-12-01T10:31:31.5679844Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 60%] 2022-12-01T10:31:31.5680074Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_positive_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5680266Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_pow_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5680462Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_prod_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5680704Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_prod_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5680900Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_qr_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5681271Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:31.5681634Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:31.5682023Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:31.5682342Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:31.5682711Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:31.5683078Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-12-01T10:31:31.5683276Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ravel_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5683497Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_ravel_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5683692Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_real_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5683899Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_reciprocal_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5684099Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_reciprocal_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5684321Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_repeat_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5684539Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_repeat_interleave_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5684694Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_roll_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5684884Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_roll_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5685088Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rot90_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5685312Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_round_decimals_0_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5685539Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 60%] 2022-12-01T10:31:31.5685734Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rsqrt_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5685931Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rsub_cpu_complex128 PASSED [ 60%] 2022-12-01T10:31:31.5686124Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_rsub_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5686284Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_add_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5686490Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_scatter_reduce_prod_cpu_float64 XFAIL [ 60%] 2022-12-01T10:31:31.5686715Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_segment_reduce_offsets_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5686906Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sgn_cpu_float64 PASSED [ 60%] 2022-12-01T10:31:31.5687422Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5687626Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sigmoid_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5687824Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sinc_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5688104Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sinh_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5688302Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sinh_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5688461Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_slice_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5688673Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_softmax_with_dtype_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5688935Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sparse_sampled_addmm_cpu_complex128 SKIPPED (Skipped!) [ 61%] 2022-12-01T10:31:31.5689166Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped!) [ 61%] 2022-12-01T10:31:31.5689562Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5689940Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5690401Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5690812Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5691228Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 61%] 2022-12-01T10:31:31.5691434Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_erfcx_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5691830Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5692186Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5692387Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_i1_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5692819Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 61%] 2022-12-01T10:31:31.5693208Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5693639Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5694030Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5694233Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_ndtr_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5694464Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5694869Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5695270Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5695753Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 61%] 2022-12-01T10:31:31.5696170Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 61%] 2022-12-01T10:31:31.5696524Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-12-01T10:31:31.5696767Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_special_xlog1py_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5696981Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_split_list_args_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5697191Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_split_with_sizes_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5714505Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sqrt_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5714781Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sqrt_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5714967Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_square_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5715129Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_square_cpu_float64 PASSED [ 61%] 2022-12-01T10:31:31.5715309Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_stack_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5715479Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_std_cpu_complex128 PASSED [ 61%] 2022-12-01T10:31:31.5715666Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_std_mean_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5715835Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_stft_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5716001Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sub_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5716187Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_sum_to_size_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5716360Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_symeig_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5716526Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_symeig_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5716700Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_take_along_dim_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5716865Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_take_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5717035Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tanh_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5717200Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tanh_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5717376Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tensor_split_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5717551Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tensordot_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5717722Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tensordot_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5717887Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tile_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5718056Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_to_sparse_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5718211Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tril_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5718376Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_tril_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5718538Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_triu_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5718701Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_trunc_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5718987Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_unflatten_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5719158Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_unflatten_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5719564Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:31.5719899Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-12-01T10:31:31.5720111Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_var_mean_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5720269Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_var_mean_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5720435Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_vdot_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5720615Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_view_as_complex_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5720793Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_view_as_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5720962Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_view_as_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5721136Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_view_as_real_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5721302Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_view_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5721472Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_vsplit_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5721638Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_vsplit_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5721793Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_vstack_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5721965Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_where_cpu_complex128 PASSED [ 62%] 2022-12-01T10:31:31.5722131Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_where_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5722294Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_zero__cpu_float64 PASSED [ 62%] 2022-12-01T10:31:31.5722533Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_H_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5722774Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_T_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5723007Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_T_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5723251Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___radd___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5723494Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___radd___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5723737Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___rdiv___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5723958Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___rdiv___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5724205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___rmatmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5724436Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___rmod___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5724705Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___rmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5724935Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD___rsub___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5725108Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_abs_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:31.5725392Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_acosh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5725574Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addbmm_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:31.5725753Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addcdiv_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:31.5725940Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addcmul_cpu_complex128 PASSED [ 63%] 2022-12-01T10:31:31.5726121Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addmm_cpu_complex128 PASSED [ 63%] 2022-12-01T10:31:31.5726283Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addmm_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:31.5726472Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addmm_decomposed_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:31.5726645Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_addr_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:31.5727205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-12-01T10:31:31.5727558Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-12-01T10:31:31.5727799Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_angle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5728149Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-12-01T10:31:31.5728499Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-12-01T10:31:31.5728703Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 63%] 2022-12-01T10:31:31.5728879Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_asin_cpu_float64 PASSED [ 63%] 2022-12-01T10:31:31.5729102Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_asinh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5729285Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atan_cpu_complex128 PASSED [ 63%] 2022-12-01T10:31:31.5729532Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atleast_1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5729777Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atleast_2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5730074Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_atleast_2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5730319Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_bernoulli_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5730559Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_block_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5730854Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_block_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5731086Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_bmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5731336Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_broadcast_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5731609Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_broadcast_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 63%] 2022-12-01T10:31:31.5731961Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:31.5732183Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5732413Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5732587Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ceil_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:31.5732824Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_chalf_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5733055Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_chalf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5733400Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:31.5733739Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:31.5733984Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cholesky_inverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5734225Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cholesky_inverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5734455Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_chunk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5734631Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_clamp_max_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:31.5734801Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_clamp_min_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:31.5735039Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_column_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5735280Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_combinations_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5735520Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_combinations_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5735750Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5735983Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5736272Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5736460Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_conj_physical_cpu_complex128 PASSED [ 64%] 2022-12-01T10:31:31.5736641Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_conj_physical_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:31.5736906Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_constant_pad_nd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5737145Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_contiguous_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5737369Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_corrcoef_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5737546Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cos_cpu_complex128 PASSED [ 64%] 2022-12-01T10:31:31.5737723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cosh_cpu_complex128 PASSED [ 64%] 2022-12-01T10:31:31.5737893Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cosh_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:31.5738249Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:31.5738601Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-12-01T10:31:31.5738832Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cummax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5739064Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cummin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5739319Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_cumulative_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5739494Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_deg2rad_cpu_float64 PASSED [ 64%] 2022-12-01T10:31:31.5739729Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5739949Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5740193Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diag_embed_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5740437Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diagonal_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 64%] 2022-12-01T10:31:31.5740659Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_diff_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5740831Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_digamma_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:31.5741018Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_div_floor_rounding_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:31.5741209Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_div_no_rounding_mode_cpu_complex128 PASSED [ 65%] 2022-12-01T10:31:31.5741394Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_div_trunc_rounding_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:31.5741652Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5741882Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_double_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5742108Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5742360Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_dstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5742703Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:31.5743053Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:31.5743382Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:31.5743551Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_erf_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:31.5743721Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_erfinv_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:31.5743895Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_exp_cpu_complex128 PASSED [ 65%] 2022-12-01T10:31:31.5744062Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_exp_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:31.5744297Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_expand_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5744529Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_expand_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5744690Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_expm1_cpu_float64 PASSED [ 65%] 2022-12-01T10:31:31.5745026Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-12-01T10:31:31.5745264Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5745495Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5745723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5745956Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5746182Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5746423Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5746654Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_fftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5746880Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_hfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5747139Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_hfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5747364Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_hfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5747590Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_hfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5747843Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_hfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5748073Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5748304Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5748537Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5748765Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5749002Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ifftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5749230Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_ihfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:31.5749458Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_irfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5749685Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_irfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5749911Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fft_rfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5750083Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fill_cpu_complex128 PASSED [ 66%] 2022-12-01T10:31:31.5750249Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fill_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:31.5750478Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_flatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5750710Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fliplr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5750936Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fliplr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5751163Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_flipud_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5751390Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_flipud_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5751569Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_float_power_cpu_complex128 PASSED [ 66%] 2022-12-01T10:31:31.5751745Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_float_power_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:31.5751941Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_fmod_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:31.5752284Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5752511Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_gather_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5752834Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5753214Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5753447Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_gradient_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5753676Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_half_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5754020Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5754353Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5754695Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5754923Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_hsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5755150Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_hstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5755376Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_hstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5755604Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_imag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5755783Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_copy_cpu_complex128 PASSED [ 66%] 2022-12-01T10:31:31.5755954Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_copy_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:31.5756127Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_fill_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:31.5756304Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_put_cpu_complex128 PASSED [ 66%] 2022-12-01T10:31:31.5756477Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_put_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:31.5756654Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_reduce_cpu_float64 PASSED [ 66%] 2022-12-01T10:31:31.5756892Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_index_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5757124Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_inner_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5757354Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_inner_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%] 2022-12-01T10:31:31.5757696Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5758058Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-12-01T10:31:31.5758385Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5758723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5759076Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5759408Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5759744Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5760079Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5760307Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_istft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5760537Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_istft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5760749Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 67%] 2022-12-01T10:31:31.5760955Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 67%] 2022-12-01T10:31:31.5761162Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 67%] 2022-12-01T10:31:31.5761359Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 67%] 2022-12-01T10:31:31.5761566Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 67%] 2022-12-01T10:31:31.5761773Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 67%] 2022-12-01T10:31:31.5761971Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 67%] 2022-12-01T10:31:31.5762195Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_kron_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5762426Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_kthvalue_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5762756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5762995Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cond_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5763233Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cond_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5763467Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5763733Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_det_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5763973Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_det_singular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5764205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eigh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5764476Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_eigvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5764710Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_inv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5764946Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_inv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5765305Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5765655Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-12-01T10:31:31.5765849Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 67%] 2022-12-01T10:31:31.5766038Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 67%] 2022-12-01T10:31:31.5766267Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5766510Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_factor_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5766750Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_factor_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5767104Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5767342Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5767583Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_power_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%] 2022-12-01T10:31:31.5767941Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:31.5768322Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:31.5768567Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_multi_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5768807Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_multi_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5769042Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5769334Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5769582Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%] 2022-12-01T10:31:31.5769809Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5770152Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_slogdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5770398Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5770646Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5770874Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5771127Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_triangular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5771378Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_triangular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5771614Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_svd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5771862Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_svdvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5772107Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_svdvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5772355Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_tensorsolve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5772599Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_vecdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5772850Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_vector_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5773106Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_vector_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5773458Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:31.5773640Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log10_cpu_complex128 PASSED [ 68%] 2022-12-01T10:31:31.5773804Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log1p_cpu_float64 PASSED [ 68%] 2022-12-01T10:31:31.5773984Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log_cpu_complex128 PASSED [ 68%] 2022-12-01T10:31:31.5774160Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log_cpu_float64 PASSED [ 68%] 2022-12-01T10:31:31.5774410Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_log_softmax_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5774687Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logaddexp2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5774926Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5775161Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5775542Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:31.5775895Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:31.5776241Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:31.5776416Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logit_cpu_float64 PASSED [ 68%] 2022-12-01T10:31:31.5776750Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-12-01T10:31:31.5776988Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5777219Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5777451Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:31.5777691Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5777929Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5778162Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5778392Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5778626Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5778867Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_amin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5779116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5779360Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5779594Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5779836Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5780102Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5780351Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5780596Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5780785Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:31.5781056Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5781302Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5781541Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5781772Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5782000Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_max_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5782248Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_max_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5782473Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5782706Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5782939Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5783195Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5783457Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5783712Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5783950Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_min_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5784194Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_min_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5784430Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5784662Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5784890Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mode_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5785126Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5785331Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_complex128 PASSED [ 69%] 2022-12-01T10:31:31.5785511Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:31.5785697Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 69%] 2022-12-01T10:31:31.5785963Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nanmedian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5786205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nanquantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%] 2022-12-01T10:31:31.5786438Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nansum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5786797Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:31.5787028Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5787272Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_native_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5787520Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_native_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5787859Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:31.5788209Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:31.5788539Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:31.5788881Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:31.5789227Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:31.5789575Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-12-01T10:31:31.5789854Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5790121Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5790388Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5790581Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_celu_cpu_float64 PASSED [ 70%] 2022-12-01T10:31:31.5790829Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5791111Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5791359Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5791619Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5791910Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5792157Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5792408Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_ctc_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5792604Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout3d_cpu_float64 PASSED [ 70%] 2022-12-01T10:31:31.5792790Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_elu_cpu_float64 PASSED [ 70%] 2022-12-01T10:31:31.5793046Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5793298Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5793526Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 70%] 2022-12-01T10:31:31.5793789Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5794051Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5794308Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5794554Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_glu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5794807Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_grid_sample_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5795047Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_group_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5795299Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5795500Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardsigmoid_cpu_float64 PASSED [ 70%] 2022-12-01T10:31:31.5795751Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardswish_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5796017Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hinge_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5796294Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_huber_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%] 2022-12-01T10:31:31.5796555Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5796802Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_kl_div_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5797076Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5797329Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5797591Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5797838Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5798094Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5798345Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5798591Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5798782Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mish_cpu_float64 PASSED [ 71%] 2022-12-01T10:31:31.5799029Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mse_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5799280Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5799526Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5799779Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5800036Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5800288Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5800536Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5800796Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5801057Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5801350Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5801609Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5801885Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5802144Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5802406Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5802666Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5802923Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5803174Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_prelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5803418Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5803608Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_selu_cpu_float64 PASSED [ 71%] 2022-12-01T10:31:31.5803864Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5804114Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5804364Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5804562Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_threshold_cpu_float64 PASSED [ 71%] 2022-12-01T10:31:31.5804824Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5805080Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5805340Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5805598Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:31.5805956Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5806194Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5806455Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5806695Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5806913Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 72%] 2022-12-01T10:31:31.5807431Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5807675Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5807912Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5808156Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5808383Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5808620Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polar_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5808820Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:31.5809031Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 72%] 2022-12-01T10:31:31.5809236Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 72%] 2022-12-01T10:31:31.5809475Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5809656Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_put_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:31.5809889Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5810321Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5810672Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5811022Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5811360Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5811598Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5811837Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5812022Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_remainder_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:31.5812205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_complex128 PASSED [ 72%] 2022-12-01T10:31:31.5812485Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5812737Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5812987Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5813255Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5813491Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5813844Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5814182Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%] 2022-12-01T10:31:31.5814426Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_resolve_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5814661Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5814893Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%] 2022-12-01T10:31:31.5815081Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_round_decimals_0_cpu_float64 PASSED [ 72%] 2022-12-01T10:31:31.5815285Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 72%] 2022-12-01T10:31:31.5815490Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 72%] 2022-12-01T10:31:31.5815667Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rsqrt_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:31.5815912Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_rsub_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5816095Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_add_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:31.5816273Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:31.5816454Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_mean_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:31.5816642Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_prod_cpu_float64 XFAIL [ 73%] 2022-12-01T10:31:31.5816894Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_segment_reduce_offsets_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5817070Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sgn_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:31.5817419Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5817758Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5817940Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sigmoid_cpu_complex128 PASSED [ 73%] 2022-12-01T10:31:31.5818145Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:31.5818314Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_float64 PASSED [ 73%] 2022-12-01T10:31:31.5818551Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5818849Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5819099Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5819334Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5819587Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5819946Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5820309Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5820692Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5821088Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 73%] 2022-12-01T10:31:31.5821470Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5821711Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_i1e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5822097Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5822339Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_log_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5822578Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5822810Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_ndtri_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5823082Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_polygamma_special_polygamma_n_0_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5823469Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5823852Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5824260Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 73%] 2022-12-01T10:31:31.5824687Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 73%] 2022-12-01T10:31:31.5825064Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5825332Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_xlog1py_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5825684Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-12-01T10:31:31.5825918Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%] 2022-12-01T10:31:31.5826167Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_split_list_args_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5826349Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sqrt_cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:31.5826513Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_square_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:31.5826752Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5826983Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5827214Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_stft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5827389Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:31.5827630Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sum_to_size_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5827871Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_sum_to_size_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5828108Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_svd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5828338Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_svd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5828575Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_symeig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5828745Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_t_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:31.5828979Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5829160Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tanh_cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:31.5829403Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tensor_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5829641Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tensordot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5829903Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tensordot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5830130Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5830365Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5830742Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-12-01T10:31:31.5830978Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_trace_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5831210Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_trace_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5831393Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:31.5831635Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5831859Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5832094Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_trapz_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5832344Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5832524Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tril_cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:31.5832701Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_tril_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:31.5832879Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_triu_cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:31.5833064Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_true_divide_cpu_complex128 PASSED [ 74%] 2022-12-01T10:31:31.5833248Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_true_divide_cpu_float64 PASSED [ 74%] 2022-12-01T10:31:31.5833486Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5833719Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5833938Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5834173Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%] 2022-12-01T10:31:31.5834524Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:31.5834708Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5834938Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:31.5835177Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:31.5835437Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:31.5835676Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:31.5835913Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_view_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:31.5836178Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:31.5836414Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_where_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:31.5836592Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_xlogy_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5836750Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_zero__cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5837107Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:31.5837453Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:31.5837649Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_T_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5837840Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_T_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5838041Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___getitem___cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5838239Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___radd___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5838438Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rdiv___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5838641Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rmatmul___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5838826Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 75%] 2022-12-01T10:31:31.5839008Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad___rsub___cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5839332Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_abs_cpu_complex128 SKIPPED (In-place abs not supported for complex tensors) [ 75%] 2022-12-01T10:31:31.5839502Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_acosh_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:31.5839665Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_acosh_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5839827Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_add_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5839998Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addcdiv_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:31.5840163Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addcdiv_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5840336Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addcmul_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:31.5840500Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addcmul_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5840650Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addmm_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5840863Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addmm_decomposed_cpu_complex128 PASSED [ 75%] 2022-12-01T10:31:31.5841041Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_addmm_decomposed_cpu_float64 PASSED [ 75%] 2022-12-01T10:31:31.5841374Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:31.5841702Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:31.5841937Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_angle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5842132Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_angle_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-12-01T10:31:31.5842462Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:31.5842786Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-12-01T10:31:31.5843111Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5843424Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5843759Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5844087Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5844277Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 76%] 2022-12-01T10:31:31.5844490Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_as_strided_scatter_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5844698Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_as_strided_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5844866Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_asin_cpu_complex128 PASSED [ 76%] 2022-12-01T10:31:31.5845030Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_asin_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:31.5845193Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_asinh_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:31.5845353Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atan2_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:31.5845506Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atan_cpu_complex128 PASSED [ 76%] 2022-12-01T10:31:31.5845666Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atan_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:31.5845835Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atanh_cpu_complex128 PASSED [ 76%] 2022-12-01T10:31:31.5845995Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atanh_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:31.5846200Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atleast_2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5846404Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_atleast_3d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5846605Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bfloat16_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5846935Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5847435Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5847746Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5847959Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cartesian_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5848151Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cat_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5848379Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cdist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5848575Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_chalf_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5848909Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-12-01T10:31:31.5849116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cholesky_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5849325Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cholesky_inverse_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5849531Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cholesky_inverse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5849736Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cholesky_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5849921Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_chunk_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5850177Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_chunk_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5850350Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_clamp_cpu_float64 PASSED [ 76%] 2022-12-01T10:31:31.5850548Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_clone_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5850743Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_clone_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5850945Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_column_stack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5851150Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_combinations_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-12-01T10:31:31.5851348Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_complex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5851539Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_conj_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5851748Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_constant_pad_nd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5851933Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_contiguous_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5852137Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_corrcoef_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5852333Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_corrcoef_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5852502Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cosh_cpu_complex128 PASSED [ 77%] 2022-12-01T10:31:31.5852841Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:31.5853035Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cov_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5853264Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cov_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5853457Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cross_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5853630Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cumprod_cpu_complex128 PASSED [ 77%] 2022-12-01T10:31:31.5853783Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cumprod_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5853974Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cumsum_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5854186Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_cumulative_trapezoid_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5854350Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_deg2rad_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5854545Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5854748Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diag_embed_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5854952Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diagonal_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5855158Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_diagonal_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5855355Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dist_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5855544Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_dist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5855711Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_div_floor_rounding_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5855911Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_double_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5856102Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_double_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5856300Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_einsum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5856632Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:31.5856973Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:31.5857307Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:31.5857636Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:31.5857960Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-12-01T10:31:31.5858123Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_erf_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5858272Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_erfc_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5858439Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_erfinv_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5858603Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_exp_cpu_complex128 PASSED [ 77%] 2022-12-01T10:31:31.5858762Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_exp_cpu_float64 PASSED [ 77%] 2022-12-01T10:31:31.5858963Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_expand_as_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5859191Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_expand_as_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-12-01T10:31:31.5859352Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_expm1_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:31.5859676Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:31.5859872Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5860083Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_fftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5860282Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_hfft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5860480Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_hfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5860678Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5860872Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5861072Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5861267Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_ifft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5861467Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_irfft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5861665Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_irfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5861869Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_irfftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5862052Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_irfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5862245Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fft_rfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5862405Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fill_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:31.5862602Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_flatten_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5862798Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_flip_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5862990Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_flip_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5863164Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_float_power_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:31.5863325Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_floor_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:31.5863665Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:31.5863858Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5864039Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_fmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5864199Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_frac_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:31.5864527Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:31.5864756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_gradient_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5864955Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_gradient_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5865280Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:31.5865636Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:31.5865836Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_hsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5866033Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_hstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5866197Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_hypot_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:31.5866513Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:31.5866839Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-12-01T10:31:31.5867031Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_imag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:31.5867201Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_add_cpu_float64 PASSED [ 78%] 2022-12-01T10:31:31.5867373Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_copy_cpu_complex128 PASSED [ 79%] 2022-12-01T10:31:31.5867544Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_index_fill_cpu_complex128 PASSED [ 79%] 2022-12-01T10:31:31.5867740Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_inner_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5868075Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5868403Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5868729Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5869044Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5869361Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5869689Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5870019Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5870345Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5870542Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_istft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5870751Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:31.5870967Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:31.5871207Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:31.5871405Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:31.5871602Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:31.5871812Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 79%] 2022-12-01T10:31:31.5872036Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_kron_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5872206Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ldexp_cpu_complex128 PASSED [ 79%] 2022-12-01T10:31:31.5872525Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5872690Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lerp_cpu_float64 PASSED [ 79%] 2022-12-01T10:31:31.5872892Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cross_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5873089Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cross_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5873288Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_det_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5873503Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_det_singular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5873693Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eig_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5873902Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eigh_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5874101Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eigh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5874306Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_eigvals_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5874525Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_householder_product_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5874725Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_inv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5874922Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_inv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5875127Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_inv_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5875327Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_inv_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-12-01T10:31:31.5875674Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5876021Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-12-01T10:31:31.5876196Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 79%] 2022-12-01T10:31:31.5876395Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5876605Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_factor_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5876840Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_factor_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5877048Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5877256Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_factor_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5877460Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_lu_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5877692Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_matrix_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5877893Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5878119Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5878326Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5878525Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_pinv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5878725Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_pinv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5878940Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5879137Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5879343Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_solve_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5879554Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_solve_triangular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5879757Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_svd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5879952Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_svd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5880163Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_tensorinv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5880361Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_tensorsolve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5880568Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_tensorsolve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5880773Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_vander_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5880974Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_vander_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5881178Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_vecdot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5881383Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_vector_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5881720Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:31.5881885Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log10_cpu_complex128 PASSED [ 80%] 2022-12-01T10:31:31.5882076Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log10_cpu_float64 PASSED [ 80%] 2022-12-01T10:31:31.5882242Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log_cpu_complex128 PASSED [ 80%] 2022-12-01T10:31:31.5882390Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log_cpu_float64 PASSED [ 80%] 2022-12-01T10:31:31.5882588Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_log_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5882786Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logaddexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5883023Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logcumsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5883222Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logdet_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 80%] 2022-12-01T10:31:31.5883566Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:31.5883908Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:31.5884240Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-12-01T10:31:31.5884576Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-12-01T10:31:31.5884909Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-12-01T10:31:31.5885060Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_logit_cpu_float64 PASSED [ 81%] 2022-12-01T10:31:31.5885382Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-12-01T10:31:31.5885582Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lu_unpack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5885780Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_lu_unpack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5885972Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mH_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5886164Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mH_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5886348Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mT_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5886547Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_amax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5886752Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_amin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5887079Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_cumprod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5887277Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_cumsum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5887453Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_fill_cpu_complex128 PASSED [ 81%] 2022-12-01T10:31:31.5887628Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_fill_cpu_float64 PASSED [ 81%] 2022-12-01T10:31:31.5887836Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_log_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5888043Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_logaddexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5888290Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_logsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5888491Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5888691Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5888895Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_median_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5889112Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_scatter_cpu_complex128 PASSED [ 81%] 2022-12-01T10:31:31.5889299Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_std_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5889508Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_masked_sum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5889702Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_matmul_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5889903Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_matrix_exp_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5890172Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_max_reduction_with_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5890377Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_maximum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5890575Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5890767Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5890964Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_median_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5891183Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_meshgrid_list_of_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5891366Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_min_binary_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5891561Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_minimum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5891757Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5891951Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5892146Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mode_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5892342Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_movedim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:31.5892534Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_msort_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5892883Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5893082Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5893266Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:31.5893437Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:31.5893668Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nanmean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5894009Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5894202Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_narrow_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5894405Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_native_batch_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5894633Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_native_layer_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5894959Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5895275Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5895445Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_neg_cpu_complex128 PASSED [ 82%] 2022-12-01T10:31:31.5895606Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_neg_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:31.5895929Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5896280Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5896608Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5896937Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-12-01T10:31:31.5897175Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5897397Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5897616Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5897845Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5898062Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5898277Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5898491Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_avg_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5898695Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_avg_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5898902Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5899126Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5899358Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5899594Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5899807Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5900028Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv_transpose1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5900246Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv_transpose1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5900494Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 82%] 2022-12-01T10:31:31.5900682Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_dropout2d_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:31.5900869Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_dropout3d_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:31.5901038Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_elu_cpu_float64 PASSED [ 82%] 2022-12-01T10:31:31.5901251Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_embedding_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5901468Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 83%] 2022-12-01T10:31:31.5901695Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5901902Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_gelu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5902116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_grid_sample_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5902330Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_group_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5902543Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_hardshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5902730Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_hardsigmoid_cpu_float64 PASSED [ 83%] 2022-12-01T10:31:31.5902945Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_hardswish_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5903157Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_hinge_embedding_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5903373Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_instance_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5903594Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_interpolate_area_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5903817Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_interpolate_bicubic_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5904039Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5904249Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_l1_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5904462Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_layer_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5904675Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_linear_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5904914Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_logsigmoid_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5905133Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5905342Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5905544Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5905787Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_unpool2d_grad_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5906000Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_max_unpool3d_grad_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5906180Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_mish_cpu_float64 PASSED [ 83%] 2022-12-01T10:31:31.5906394Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5906615Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5906846Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_multilabel_soft_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5907060Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5907270Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_normalize_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5907492Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_circular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5907710Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_circular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5907917Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_constant_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5908131Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pad_replicate_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5908353Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_pixel_unshuffle_cpu_float64 SKIPPED (Op has no inplace variant!) [ 83%] 2022-12-01T10:31:31.5908533Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_rrelu_cpu_float64 PASSED [ 83%] 2022-12-01T10:31:31.5908716Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_selu_cpu_float64 PASSED [ 83%] 2022-12-01T10:31:31.5909085Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-12-01T10:31:31.5909302Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_soft_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5909516Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_tanhshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5909744Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_loss_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5909961Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5910220Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_unfold_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5910442Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_upsample_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5910656Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nn_functional_upsample_nearest_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5910984Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:31.5911206Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5911404Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5911603Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_fro_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5911803Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_norm_nuc_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5912135Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ormqr_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:31.5912330Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_outer_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5912528Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_outer_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5912711Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_permute_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5912912Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_pinverse_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5913110Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_pinverse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5913304Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_polar_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5913490Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 84%] 2022-12-01T10:31:31.5913690Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_positive_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5913859Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_pow_cpu_complex128 PASSED [ 84%] 2022-12-01T10:31:31.5914020Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_pow_cpu_float64 PASSED [ 84%] 2022-12-01T10:31:31.5914212Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5914363Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_put_cpu_complex128 PASSED [ 84%] 2022-12-01T10:31:31.5914520Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_put_cpu_float64 PASSED [ 84%] 2022-12-01T10:31:31.5914715Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_qr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5914909Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_quantile_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5915247Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:31.5915576Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:31.5915776Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_ravel_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5915981Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_reciprocal_cpu_complex128 PASSED [ 84%] 2022-12-01T10:31:31.5916176Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_repeat_cpu_float64 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5916387Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_repeat_interleave_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5916579Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_reshape_as_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5916802Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_reshape_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:31.5917129Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:31.5917464Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-12-01T10:31:31.5917662Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_resolve_neg_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5917855Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rot90_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5918018Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_round_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5918209Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 85%] 2022-12-01T10:31:31.5918379Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rsqrt_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:31.5918557Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_rsub_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5918732Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_add_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:31.5918900Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_add_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5919070Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:31.5919234Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5919411Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_reduce_amax_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5919588Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_reduce_amin_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5919768Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_reduce_mean_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5919946Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_scatter_reduce_sum_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5920140Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_select_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5920473Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5920638Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sigmoid_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5920800Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sign_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5920965Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sin_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:31.5921126Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sin_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5921291Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sinc_cpu_complex128 PASSED [ 85%] 2022-12-01T10:31:31.5921448Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sinh_cpu_float64 PASSED [ 85%] 2022-12-01T10:31:31.5921671Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5921874Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5922221Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5922567Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5922974Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5923180Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_erfcx_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5923542Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5923742Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_i0e_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5923939Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_i1_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5924305Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5924510Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_log_ndtr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5924869Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5925072Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_ndtr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5925262Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_ndtri_cpu_float64 SKIPPED (Op has no inplace variant!) [ 85%] 2022-12-01T10:31:31.5925634Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-12-01T10:31:31.5926030Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-12-01T10:31:31.5926418Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-12-01T10:31:31.5926807Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-12-01T10:31:31.5927154Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_split_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5927352Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_split_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5927561Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_split_list_args_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5927766Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_split_with_sizes_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5927934Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sqrt_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:31.5928133Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_stack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5928358Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_std_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5928554Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_std_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5928720Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sub_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:31.5928882Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sub_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:31.5929110Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5929306Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5929510Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sum_to_size_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5929712Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_sum_to_size_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5929904Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_svd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5930154Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_svd_lowrank_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5930352Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_symeig_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5930519Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_t_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:31.5930682Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_t_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:31.5930892Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_take_along_dim_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5931100Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_take_along_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5931297Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_take_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5931460Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tan_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:31.5931624Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tanh_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:31.5931815Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tensor_split_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5932015Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tensordot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5932212Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tile_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5932405Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_tile_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5932597Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_to_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5932793Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_to_sparse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5932985Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_topk_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5933181Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_trace_cpu_float64 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5933355Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_transpose_cpu_complex128 PASSED [ 86%] 2022-12-01T10:31:31.5933523Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_transpose_cpu_float64 PASSED [ 86%] 2022-12-01T10:31:31.5933748Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_trapezoid_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 86%] 2022-12-01T10:31:31.5933945Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_trapz_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5934156Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_triangular_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5934332Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_true_divide_cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:31.5934524Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_trunc_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:31.5934723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unbind_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5934918Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unbind_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5935120Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unflatten_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5935318Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unflatten_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5935503Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unfold_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5935848Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-12-01T10:31:31.5936195Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-12-01T10:31:31.5936386Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_var_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5936586Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_var_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5936783Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_vdot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5936975Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_vdot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5937179Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_view_as_real_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5937375Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_vsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5937570Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_vstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5937769Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_where_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:31.5937926Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_zero__cpu_complex128 PASSED [ 87%] 2022-12-01T10:31:31.5938087Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_zero__cpu_float64 PASSED [ 87%] 2022-12-01T10:31:31.5938414Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-12-01T10:31:31.5938646Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_H_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5938881Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_T_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5939119Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___getitem___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5939407Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___radd___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5939639Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___radd___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5939865Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rdiv___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5940103Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rmatmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5940351Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rmatmul___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5940583Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rmod___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5940816Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5941001Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rpow___cpu_float64 SKIPPED (Skipped!) [ 87%] 2022-12-01T10:31:31.5941228Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad___rsub___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5941396Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_acos_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:31.5941625Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_acosh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-12-01T10:31:31.5941792Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_add_cpu_float64 PASSED [ 87%] 2022-12-01T10:31:31.5941968Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addbmm_cpu_complex128 PASSED [ 88%] 2022-12-01T10:31:31.5942142Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addbmm_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:31.5942303Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addcdiv_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:31.5942473Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addmm_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:31.5942662Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addmm_decomposed_cpu_complex128 PASSED [ 88%] 2022-12-01T10:31:31.5942836Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_addr_cpu_complex128 PASSED [ 88%] 2022-12-01T10:31:31.5943172Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5943517Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5943856Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5944087Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_amin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5944420Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5944659Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_angle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5944888Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_angle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5945239Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5945566Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5945896Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5946228Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5946594Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-12-01T10:31:31.5946791Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 88%] 2022-12-01T10:31:31.5947038Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_as_strided_scatter_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5947279Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_as_strided_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5947451Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_asin_cpu_complex128 PASSED [ 88%] 2022-12-01T10:31:31.5947667Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_asin_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:31.5947888Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_asinh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5948057Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atan2_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:31.5948224Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atan_cpu_float64 PASSED [ 88%] 2022-12-01T10:31:31.5948458Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atanh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5948697Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atleast_1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5948931Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atleast_1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5949168Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atleast_2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5949396Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_atleast_3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5949577Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_baddbmm_cpu_complex128 PASSED [ 88%] 2022-12-01T10:31:31.5949810Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bfloat16_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5950047Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_block_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5950269Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_block_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5950500Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5950728Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bmm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5951011Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_broadcast_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-12-01T10:31:31.5951360Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:31.5951692Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:31.5952045Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:31.5952284Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cartesian_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5952511Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5952739Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5952974Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_chalf_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5953203Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_chalf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5953532Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:31.5953767Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5954000Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5954244Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cholesky_inverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5954483Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cholesky_inverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5954725Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cholesky_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5954960Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cholesky_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5955187Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_chunk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5955359Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_clamp_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:31.5955534Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_clamp_max_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:31.5955765Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_clone_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5955993Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_combinations_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5956227Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_combinations_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5956411Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_conj_physical_cpu_complex128 PASSED [ 89%] 2022-12-01T10:31:31.5956622Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_conj_physical_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:31.5956856Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_contiguous_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5957028Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_copysign_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:31.5957265Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_corrcoef_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5957525Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_corrcoef_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5957704Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cos_cpu_complex128 PASSED [ 89%] 2022-12-01T10:31:31.5957871Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cos_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:31.5958029Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cosh_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:31.5958376Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-12-01T10:31:31.5958606Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cov_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5958784Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cumprod_cpu_complex128 PASSED [ 89%] 2022-12-01T10:31:31.5959037Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_cumulative_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5959209Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_deg2rad_cpu_float64 PASSED [ 89%] 2022-12-01T10:31:31.5959447Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diag_embed_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5959682Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diagflat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-12-01T10:31:31.5959914Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diagflat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5960148Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diagonal_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5960391Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diagonal_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5960606Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_diff_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5960840Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dist_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5961025Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_div_trunc_rounding_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:31.5961256Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5961492Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_double_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5961723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_double_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5961955Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5962222Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_dstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5962564Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-12-01T10:31:31.5962894Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-12-01T10:31:31.5963106Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_erfinv_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:31.5963262Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_exp_cpu_float64 PASSED [ 90%] 2022-12-01T10:31:31.5963494Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_expand_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5963828Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-12-01T10:31:31.5964063Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5964292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5964529Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5964756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5964995Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5965234Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_fftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5965469Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_hfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5965706Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_hfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5965928Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_hfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5966159Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5966396Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5966623Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5966858Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5967231Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ifftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5967463Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ihfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5967692Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_ihfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5967986Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_irfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5968225Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_irfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5968458Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fft_irfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5968714Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_flatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5968948Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_flatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:31.5969179Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_flip_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5969415Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_flipud_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5969650Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_float_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5969882Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_float_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5970136Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_floor_cpu_float64 PASSED [ 91%] 2022-12-01T10:31:31.5970492Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5970723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5970952Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_fmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5971121Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_frac_cpu_float64 PASSED [ 91%] 2022-12-01T10:31:31.5971452Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5971686Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_gather_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5972016Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5972357Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5972689Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5972927Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_gradient_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5973167Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_gradient_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5973499Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5973733Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_half_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5974104Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5974440Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5974781Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5975029Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_hsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5975261Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_hsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5975497Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_hstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5975732Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_imag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5975910Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_add_cpu_complex128 PASSED [ 91%] 2022-12-01T10:31:31.5976083Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_add_cpu_float64 PASSED [ 91%] 2022-12-01T10:31:31.5976263Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_fill_cpu_complex128 PASSED [ 91%] 2022-12-01T10:31:31.5976441Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_put_cpu_complex128 PASSED [ 91%] 2022-12-01T10:31:31.5976683Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_index_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-12-01T10:31:31.5977019Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5977347Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5977695Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5978035Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5978362Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5978707Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5979041Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-12-01T10:31:31.5979378Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:31.5979709Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:31.5979944Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_istft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5980158Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 92%] 2022-12-01T10:31:31.5980405Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 92%] 2022-12-01T10:31:31.5980627Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 92%] 2022-12-01T10:31:31.5980816Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 92%] 2022-12-01T10:31:31.5981031Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 92%] 2022-12-01T10:31:31.5981292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_kron_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5981521Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_kron_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5981757Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ldexp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5981987Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ldexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5982314Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:31.5982489Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lerp_cpu_complex128 PASSED [ 92%] 2022-12-01T10:31:31.5982662Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lgamma_cpu_float64 PASSED [ 92%] 2022-12-01T10:31:31.5982903Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5983128Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5983364Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_det_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5983610Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_det_singular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5983851Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5984083Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5984320Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eigh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5984558Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eigvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5984795Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_eigvalsh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5985053Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_householder_product_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5985306Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_householder_product_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5985536Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_inv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5985802Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_inv_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5986146Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:31.5986497Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:31.5986869Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-12-01T10:31:31.5987109Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5987354Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5987590Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5987833Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5988075Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5988310Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-12-01T10:31:31.5988549Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_power_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5988791Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_power_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5989163Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5989529Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5989750Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_pinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5989993Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_pinv_hermitian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5990242Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 93%] 2022-12-01T10:31:31.5990477Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5990717Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_slogdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5990955Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5991197Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_svdvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5991466Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_svdvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5991713Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_tensorsolve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5991953Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_tensorsolve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5992222Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_vecdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5992456Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_vecdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5992791Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5992963Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log10_cpu_complex128 PASSED [ 93%] 2022-12-01T10:31:31.5993134Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log_cpu_complex128 PASSED [ 93%] 2022-12-01T10:31:31.5993302Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_log_cpu_float64 PASSED [ 93%] 2022-12-01T10:31:31.5993540Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logaddexp2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5993779Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logcumsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5994012Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5994245Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5994592Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5994931Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5995266Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5995603Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5995953Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5996292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5996461Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logit_cpu_float64 PASSED [ 93%] 2022-12-01T10:31:31.5996802Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5997138Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5997374Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5997732Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-12-01T10:31:31.5997962Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5998188Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5998482Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:31.5998701Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mH_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.5998927Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mH_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.5999173Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_cumprod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.5999412Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_cumprod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.5999656Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_cumsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.5999842Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_fill_cpu_complex128 PASSED [ 94%] 2022-12-01T10:31:31.6000022Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_fill_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:31.6000263Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6000506Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6000744Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6000981Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6001208Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6001394Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_scatter_cpu_complex128 PASSED [ 94%] 2022-12-01T10:31:31.6001577Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_scatter_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:31.6001814Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_masked_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6002052Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_matrix_exp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6002285Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_max_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6002532Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_max_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6002776Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_max_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6003033Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_maximum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6003262Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6003516Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_meshgrid_list_of_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6003797Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6004032Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_min_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6004274Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_min_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6004519Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_min_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6004748Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_minimum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6004978Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6005205Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6005430Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mode_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6005665Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_movedim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6005894Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_movedim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6006068Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mul_cpu_complex128 PASSED [ 94%] 2022-12-01T10:31:31.6006282Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6006508Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6006697Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 94%] 2022-12-01T10:31:31.6006927Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nanmean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-12-01T10:31:31.6007292Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_native_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6007624Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-12-01T10:31:31.6007798Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_neg_cpu_complex128 PASSED [ 95%] 2022-12-01T10:31:31.6007971Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_neg_cpu_float64 PASSED [ 95%] 2022-12-01T10:31:31.6008309Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-12-01T10:31:31.6008707Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-12-01T10:31:31.6009047Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-12-01T10:31:31.6009368Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-12-01T10:31:31.6009669Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6009930Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6010259Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6010514Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6010761Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6011009Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6011262Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6011512Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6011760Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6012016Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6012280Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6012476Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_dropout_cpu_float64 PASSED [ 95%] 2022-12-01T10:31:31.6012713Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6012975Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6013221Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_gelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6013472Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_grid_sample_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6013723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_hardshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6013984Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_hinge_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6014271Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6014527Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6014783Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6015055Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6015247Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_leaky_relu_cpu_float64 PASSED [ 95%] 2022-12-01T10:31:31.6015498Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6015734Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6015984Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6016242Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool3d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6016428Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_mish_cpu_float64 PASSED [ 95%] 2022-12-01T10:31:31.6016680Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6016943Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-12-01T10:31:31.6017208Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_multilabel_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6017454Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6017704Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6017959Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_circular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6018210Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_constant_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6018467Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pad_replicate_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6018724Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pairwise_distance_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6018955Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6019203Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_shuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6019492Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_unshuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6019743Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_unshuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6020022Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6020261Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_relu6_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6020499Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_relu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6020686Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_rrelu_cpu_float64 PASSED [ 96%] 2022-12-01T10:31:31.6021063Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:31.6021252Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_silu_cpu_float64 PASSED [ 96%] 2022-12-01T10:31:31.6021507Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6021756Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6021988Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softplus_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6022235Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_softshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6022486Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_tanhshrink_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6022748Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6023019Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6023266Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nn_functional_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6023608Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_nonzero_cpu_complex128 SKIPPED (Skipped! 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[ 96%] 2022-12-01T10:31:31.6025297Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:31.6025633Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ormqr_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:31.6025988Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ormqr_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-12-01T10:31:31.6026220Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_outer_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6026456Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_permute_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:31.6026659Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 96%] 2022-12-01T10:31:31.6026860Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 97%] 2022-12-01T10:31:31.6027092Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_positive_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6027322Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_pow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6027488Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_put_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:31.6027714Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6027930Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6028104Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rad2deg_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:31.6028439Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:31.6028775Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:31.6029121Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:31.6029355Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_ravel_cpu_complex128 SKIPPED (Skipped! 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[ 97%] 2022-12-01T10:31:31.6030699Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6030959Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6031298Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:31.6031633Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:31.6031996Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-12-01T10:31:31.6032241Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6032483Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6032723Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6032951Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rot90_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6033120Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:31.6033307Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_decimals_0_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:31.6033487Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 97%] 2022-12-01T10:31:31.6033686Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 97%] 2022-12-01T10:31:31.6033854Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:31.6034081Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_rsub_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6034266Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_scatter_reduce_mean_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:31.6034513Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_segment_reduce_lengths_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6034746Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6034978Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6035218Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_select_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-12-01T10:31:31.6035389Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sgn_cpu_complex128 PASSED [ 97%] 2022-12-01T10:31:31.6035543Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sgn_cpu_float64 PASSED [ 97%] 2022-12-01T10:31:31.6035878Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:31.6036050Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:31.6036223Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sign_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:31.6036415Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sin_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:31.6036576Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sinh_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:31.6036810Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_slice_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6037048Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_slice_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6037302Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6037547Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6037885Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:31.6038233Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:31.6038601Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:31.6038840Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_i0e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6039230Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 98%] 2022-12-01T10:31:31.6039472Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_log_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6039841Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:31.6040077Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6040455Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:31.6040825Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-12-01T10:31:31.6041065Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_special_xlog1py_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6041301Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6041530Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6041754Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6041996Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6042232Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6042432Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_squeeze_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:31.6042667Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6042898Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6043128Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6043394Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_std_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6043622Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_stft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-12-01T10:31:31.6043790Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sub_cpu_float64 PASSED [ 98%] 2022-12-01T10:31:31.6044021Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128 SKIPPED (Skipped! 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[ 99%] 2022-12-01T10:31:31.6045402Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_symeig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6045631Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_symeig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6045875Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6046111Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6046339Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_take_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6046505Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tan_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:31.6046732Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6047094Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6047370Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6047603Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_tile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6047829Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6048116Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6048343Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_topk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6048578Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6048841Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trace_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6049020Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_transpose_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:31.6049258Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6049483Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6049715Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6049960Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6050203Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:31.6050384Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:31.6050623Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unflatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6050863Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6051228Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-12-01T10:31:31.6051459Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_var_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6051692Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6051930Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_as_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6052146Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_view_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6052376Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6052608Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6052845Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_where_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-12-01T10:31:31.6053015Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64 PASSED [ 99%] 2022-12-01T10:31:31.6053189Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128 PASSED [ 99%] 2022-12-01T10:31:31.6053552Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-12-01T10:31:31.6053896Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-12-01T10:31:31.6054233Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%] 2022-12-01T10:31:31.6054246Z 2022-12-01T10:31:31.6054608Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-cc671452e445163d.xml - 2022-12-01T10:31:31.6054752Z = 1671 passed, 2034 skipped, 14 deselected, 39 xfailed, 68 warnings in 456.98s (0:07:36) = 2022-12-01T10:31:31.6054910Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-12-01T10:31:31.6054931Z 2022-12-01T10:31:31.6055315Z ##[endgroup] 2022-12-01T10:31:31.6055611Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_cy7m24jt) 2022-12-01T10:31:31.6055617Z 2022-12-01T10:31:31.8209410Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-x', '--reruns=2', '-rfEX', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:31:31.820541] 2022-12-01T10:31:51.4375674Z 2022-12-01T10:31:51.4376216Z Expand the folded group to see the log file of test_ops_gradients 2022-12-01T10:31:51.4377254Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_iw9m5xg1) 2022-12-01T10:31:51.4378197Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-43b88fdbd3fa60af.xml 2022-12-01T10:31:51.4409191Z ============================= test session starts ============================== 2022-12-01T10:31:51.4414700Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python 2022-12-01T10:31:51.4415111Z cachedir: .pytest_cache 2022-12-01T10:31:51.4415912Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-12-01T10:31:51.4416477Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-12-01T10:31:51.4416890Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T10:31:51.4417218Z collecting ... collected 7560 items / 7528 deselected / 32 selected 2022-12-01T10:31:51.4420892Z Running 32 items in this shard: test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_float64 2022-12-01T10:31:51.4424348Z 2022-12-01T10:31:51.4424591Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 3%] 2022-12-01T10:31:51.4425083Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 6%] 2022-12-01T10:31:51.4425565Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 9%] 2022-12-01T10:31:51.4426030Z test_ops_gradients.py::TestGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%] 2022-12-01T10:31:51.4426461Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_cpu_complex128 PASSED [ 15%] 2022-12-01T10:31:51.4426853Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_cpu_float64 PASSED [ 18%] 2022-12-01T10:31:51.4427241Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cpu_complex128 PASSED [ 21%] 2022-12-01T10:31:51.4427615Z test_ops_gradients.py::TestGradientsCPU::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cpu_float64 PASSED [ 25%] 2022-12-01T10:31:51.4427994Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_cpu_complex128 PASSED [ 28%] 2022-12-01T10:31:51.4428352Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_cpu_float64 PASSED [ 31%] 2022-12-01T10:31:51.4428712Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_complex128 PASSED [ 34%] 2022-12-01T10:31:51.4429067Z test_ops_gradients.py::TestGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_float64 PASSED [ 37%] 2022-12-01T10:31:51.4429434Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_complex128 PASSED [ 40%] 2022-12-01T10:31:51.4429806Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_float64 PASSED [ 43%] 2022-12-01T10:31:51.4430173Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_complex128 PASSED [ 46%] 2022-12-01T10:31:51.4430550Z test_ops_gradients.py::TestGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_float64 PASSED [ 50%] 2022-12-01T10:31:51.4430974Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_cpu_complex128 PASSED [ 53%] 2022-12-01T10:31:51.4431352Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_cpu_float64 PASSED [ 56%] 2022-12-01T10:31:51.4431721Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_ex_cpu_complex128 PASSED [ 59%] 2022-12-01T10:31:51.4432100Z test_ops_gradients.py::TestGradientsCPU::test_forward_mode_AD_linalg_cholesky_ex_cpu_float64 PASSED [ 62%] 2022-12-01T10:31:51.4432580Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%] 2022-12-01T10:31:51.4433098Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%] 2022-12-01T10:31:51.4433605Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%] 2022-12-01T10:31:51.4434118Z test_ops_gradients.py::TestGradientsCPU::test_inplace_forward_mode_AD_linalg_cholesky_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%] 2022-12-01T10:31:51.4434593Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-12-01T10:31:51.4435027Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_float64 SKIPPED (Op has no inplace variant!) [ 81%] 2022-12-01T10:31:51.4435450Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 84%] 2022-12-01T10:31:51.4435887Z test_ops_gradients.py::TestGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 87%] 2022-12-01T10:31:51.4436357Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-12-01T10:31:51.4436857Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-12-01T10:31:51.4437356Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-12-01T10:31:51.4437843Z test_ops_gradients.py::TestGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [100%] 2022-12-01T10:31:51.4438101Z 2022-12-01T10:31:51.4438464Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-43b88fdbd3fa60af.xml - 2022-12-01T10:31:51.4438851Z ========= 16 passed, 16 skipped, 7528 deselected, 1 warning in 16.28s ========== 2022-12-01T10:31:51.4439179Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-12-01T10:31:51.4439371Z 2022-12-01T10:31:51.4439643Z ##[endgroup] 2022-12-01T10:31:51.4440039Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_iw9m5xg1) 2022-12-01T10:31:51.4440263Z 2022-12-01T10:31:51.4440413Z Running test_nn ... [2022-12-01 10:31:51.438400] 2022-12-01T10:31:51.4440841Z Executing ['/opt/conda/bin/python', '-bb', 'test_nn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:31:51.438711] 2022-12-01T10:40:47.5620732Z 2022-12-01T10:40:47.5621133Z Expand the folded group to see the log file of test_nn 2022-12-01T10:40:47.5621803Z ##[group]PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_kwzqu53k) 2022-12-01T10:40:47.5626762Z Test results will be stored in test-reports/python-unittest/test_nn 2022-12-01T10:40:47.5627251Z 2022-12-01T10:40:47.5627378Z Running tests... 2022-12-01T10:40:47.5627876Z ---------------------------------------------------------------------- 2022-12-01T10:40:47.5628283Z test_add_relu (__main__.TestAddRelu) ... ok (0.125s) 2022-12-01T10:40:47.5766674Z test_add_relu_broadcasting (__main__.TestAddRelu) ... ok (0.018s) 2022-12-01T10:40:47.5767232Z test_constant_pad_nd (__main__.TestConstantPadNd) ... ok (0.009s) 2022-12-01T10:40:47.5768374Z test_preserves_memory_format (__main__.TestConstantPadNd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 11487 2022-12-01T10:40:47.5768723Z due to: 2022-12-01T10:40:47.5769131Z Traceback (most recent call last): 2022-12-01T10:40:47.5769440Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:40:47.5769795Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:40:47.5770192Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:40:47.5770445Z 2022-12-01T10:40:47.5770561Z from user code: 2022-12-01T10:40:47.5770840Z File "test_nn.py", line 11491, in 2022-12-01T10:40:47.5771428Z self.assertTrue(nhwc_padded.is_contiguous(memory_format=torch.channels_last)) 2022-12-01T10:40:47.5771777Z 2022-12-01T10:40:47.5772023Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5772300Z ========== 2022-12-01T10:40:47.5772546Z ok (0.011s) 2022-12-01T10:40:47.5772800Z test_pickle_softsign (__main__.TestFunctionalPickle) ... ok (0.003s) 2022-12-01T10:40:47.5773886Z test_fuse_module_eval_numerics (__main__.TestFusionEval) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /opt/conda/lib/python3.7/site-packages/hypothesis/strategies/_internal/numbers.py line 152 2022-12-01T10:40:47.5774480Z due to: 2022-12-01T10:40:47.5774759Z Traceback (most recent call last): 2022-12-01T10:40:47.5775320Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:40:47.5775959Z return super().call_method(tx, args, kwargs) 2022-12-01T10:40:47.5776686Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:40:47.5777058Z 2022-12-01T10:40:47.5777209Z from user code: 2022-12-01T10:40:47.5778036Z File "/opt/conda/lib/python3.7/site-packages/hypothesis/strategies/_internal/numbers.py", line 153, in __init__ 2022-12-01T10:40:47.5778679Z SearchStrategy.__init__(self) 2022-12-01T10:40:47.5778996Z 2022-12-01T10:40:47.5779258Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5779743Z ========== 2022-12-01T10:40:47.5780687Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT biased_coin /opt/conda/lib/python3.7/site-packages/hypothesis/internal/conjecture/utils.py line 161 2022-12-01T10:40:47.5781357Z due to: 2022-12-01T10:40:47.5781722Z Traceback (most recent call last): 2022-12-01T10:40:47.5782338Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/dicts.py", line 52, in getitem_const 2022-12-01T10:40:47.5783063Z return self.items[ConstDictVariable.get_key(arg)].add_options(self, arg) 2022-12-01T10:40:47.5783588Z KeyError: 7122516918311139221 2022-12-01T10:40:47.5783837Z 2022-12-01T10:40:47.5783989Z from user code: 2022-12-01T10:40:47.5784770Z File "/opt/conda/lib/python3.7/site-packages/hypothesis/internal/conjecture/utils.py", line 191, in biased_coin 2022-12-01T10:40:47.5785429Z data.start_example(BIASED_COIN_LABEL) 2022-12-01T10:40:47.5785720Z 2022-12-01T10:40:47.5786003Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5786479Z ========== 2022-12-01T10:40:47.5786795Z ok (1.709s) 2022-12-01T10:40:47.5787292Z test_chained_initialization (__main__.TestLazyModules) ... ok (0.932s) 2022-12-01T10:40:47.5788370Z test_invalid_functions (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_invalid_functions test_nn.py line 18707 2022-12-01T10:40:47.5789172Z due to: 2022-12-01T10:40:47.5789575Z Traceback (most recent call last): 2022-12-01T10:40:47.5790401Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5791124Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5791842Z RecursionError: maximum recursion depth exceeded while calling a Python object 2022-12-01T10:40:47.5792240Z 2022-12-01T10:40:47.5792544Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5792902Z 2022-12-01T10:40:47.5793104Z Traceback (most recent call last): 2022-12-01T10:40:47.5793757Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5794363Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5794873Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5795176Z 2022-12-01T10:40:47.5795321Z from user code: 2022-12-01T10:40:47.5795763Z File "test_nn.py", line 18709, in test_invalid_functions 2022-12-01T10:40:47.5796370Z param = torch.nn.parameter.UninitializedParameter() 2022-12-01T10:40:47.5796757Z 2022-12-01T10:40:47.5797038Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5797499Z ========== 2022-12-01T10:40:47.5797840Z ok (0.015s) 2022-12-01T10:40:47.5799140Z test_lazy_batchnorm1d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5800446Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5803141Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5804224Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5805495Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5806562Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5807221Z ok (0.058s) 2022-12-01T10:40:47.5808603Z test_lazy_batchnorm1d_pickle (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5809881Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5811164Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5812211Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5813493Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5814549Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5815057Z ok (0.041s) 2022-12-01T10:40:47.5870100Z test_lazy_batchnorm1d_state (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5870841Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5871429Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5872022Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5872246Z ok (0.011s) 2022-12-01T10:40:47.5872836Z test_lazy_batchnorm2d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5873374Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5873605Z ok (0.010s) 2022-12-01T10:40:47.5874241Z test_lazy_batchnorm2d_pickle (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5874780Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5875010Z ok (0.008s) 2022-12-01T10:40:47.5875603Z test_lazy_batchnorm2d_state (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5876124Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5876693Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5877183Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5877415Z ok (0.010s) 2022-12-01T10:40:47.5877982Z test_lazy_batchnorm3d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5878516Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5878747Z ok (0.011s) 2022-12-01T10:40:47.5879328Z test_lazy_batchnorm3d_pickle (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5879864Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5880096Z ok (0.009s) 2022-12-01T10:40:47.5880691Z test_lazy_batchnorm3d_state (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5881304Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5881907Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5882389Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5882622Z ok (0.010s) 2022-12-01T10:40:47.5882826Z test_lazy_conv1d (__main__.TestLazyModules) ... ok (0.087s) 2022-12-01T10:40:47.5883102Z test_lazy_conv1d_pickle (__main__.TestLazyModules) ... ok (0.139s) 2022-12-01T10:40:47.5883383Z test_lazy_conv1d_state (__main__.TestLazyModules) ... ok (0.006s) 2022-12-01T10:40:47.5883654Z test_lazy_conv2d (__main__.TestLazyModules) ... ok (0.059s) 2022-12-01T10:40:47.5883911Z test_lazy_conv2d_pickle (__main__.TestLazyModules) ... ok (0.073s) 2022-12-01T10:40:47.5884187Z test_lazy_conv2d_state (__main__.TestLazyModules) ... ok (0.005s) 2022-12-01T10:40:47.5884500Z test_lazy_conv3d (__main__.TestLazyModules) ... ok (0.097s) 2022-12-01T10:40:47.5884759Z test_lazy_conv3d_pickle (__main__.TestLazyModules) ... ok (0.092s) 2022-12-01T10:40:47.5885035Z test_lazy_conv3d_state (__main__.TestLazyModules) ... ok (0.005s) 2022-12-01T10:40:47.5885323Z test_lazy_conv_transpose1d_pickle (__main__.TestLazyModules) ... ok (0.076s) 2022-12-01T10:40:47.5885611Z test_lazy_conv_transpose1d_state (__main__.TestLazyModules) ... ok (0.005s) 2022-12-01T10:40:47.5885904Z test_lazy_conv_transpose2d (__main__.TestLazyModules) ... ok (0.079s) 2022-12-01T10:40:47.5886231Z test_lazy_conv_transpose2d_pickle (__main__.TestLazyModules) ... ok (0.079s) 2022-12-01T10:40:47.5886538Z test_lazy_conv_transpose2d_state (__main__.TestLazyModules) ... ok (0.005s) 2022-12-01T10:40:47.5886817Z test_lazy_conv_transpose3d (__main__.TestLazyModules) ... ok (0.266s) 2022-12-01T10:40:47.5887320Z test_lazy_conv_transpose3d_pickle (__main__.TestLazyModules) ... ok (0.142s) 2022-12-01T10:40:47.5887631Z test_lazy_conv_transpose3d_state (__main__.TestLazyModules) ... ok (0.005s) 2022-12-01T10:40:47.5887915Z test_lazy_conv_transposed1d (__main__.TestLazyModules) ... ok (0.071s) 2022-12-01T10:40:47.5888191Z test_lazy_forward_hook (__main__.TestLazyModules) 2022-12-01T10:40:47.5888858Z This test is to test whether lazymodule can register other forward hook ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5889496Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5889720Z ok (0.012s) 2022-12-01T10:40:47.5890311Z test_lazy_instancenorm1d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5890849Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5891083Z ok (0.010s) 2022-12-01T10:40:47.5891674Z test_lazy_instancenorm1d_pickle (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5892213Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5892443Z ok (0.010s) 2022-12-01T10:40:47.5893041Z test_lazy_instancenorm1d_state (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5893566Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5894133Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5894614Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5894842Z ok (0.015s) 2022-12-01T10:40:47.5895418Z test_lazy_instancenorm2d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5895953Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5896181Z ok (0.010s) 2022-12-01T10:40:47.5896765Z test_lazy_instancenorm2d_pickle (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5897367Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5897596Z ok (0.009s) 2022-12-01T10:40:47.5898194Z test_lazy_instancenorm2d_state (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5898733Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5899324Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5899806Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5900039Z ok (0.013s) 2022-12-01T10:40:47.5900619Z test_lazy_instancenorm3d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5901151Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5901379Z ok (0.011s) 2022-12-01T10:40:47.5901978Z test_lazy_instancenorm3d_pickle (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5902506Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5902736Z ok (0.010s) 2022-12-01T10:40:47.5903331Z test_lazy_instancenorm3d_state (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5903866Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5904418Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5904897Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5905127Z ok (0.014s) 2022-12-01T10:40:47.5905353Z test_lazy_linear_pickle (__main__.TestLazyModules) ... ok (0.123s) 2022-12-01T10:40:47.5905856Z test_lazy_module_buffer (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18143 2022-12-01T10:40:47.5906171Z due to: 2022-12-01T10:40:47.5906358Z Traceback (most recent call last): 2022-12-01T10:40:47.5906724Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5907068Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5907380Z RecursionError: maximum recursion depth exceeded in __subclasscheck__ 2022-12-01T10:40:47.5907551Z 2022-12-01T10:40:47.5907686Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5907836Z 2022-12-01T10:40:47.5907933Z Traceback (most recent call last): 2022-12-01T10:40:47.5908210Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5908483Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5908707Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5908849Z 2022-12-01T10:40:47.5908920Z from user code: 2022-12-01T10:40:47.5909155Z File "test_nn.py", line 18144, in 2022-12-01T10:40:47.5909498Z module.register_buffer('test_buffer', UninitializedBuffer()) 2022-12-01T10:40:47.5909682Z 2022-12-01T10:40:47.5909817Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5910036Z ========== 2022-12-01T10:40:47.5910193Z ok (0.018s) 2022-12-01T10:40:47.5910644Z test_lazy_module_jit_buffer (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18181 2022-12-01T10:40:47.5910966Z due to: 2022-12-01T10:40:47.5911147Z Traceback (most recent call last): 2022-12-01T10:40:47.5911508Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5911879Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5912189Z RecursionError: maximum recursion depth exceeded in __subclasscheck__ 2022-12-01T10:40:47.5912357Z 2022-12-01T10:40:47.5912490Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5912655Z 2022-12-01T10:40:47.5912733Z Traceback (most recent call last): 2022-12-01T10:40:47.5913010Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5913285Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5913508Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5913649Z 2022-12-01T10:40:47.5913721Z from user code: 2022-12-01T10:40:47.5913958Z File "test_nn.py", line 18182, in 2022-12-01T10:40:47.5914306Z module.register_buffer('test_buffer', UninitializedBuffer()) 2022-12-01T10:40:47.5914455Z 2022-12-01T10:40:47.5914587Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5914809Z ========== 2022-12-01T10:40:47.5914966Z ok (0.014s) 2022-12-01T10:40:47.5915415Z test_lazy_module_jit_param (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18173 2022-12-01T10:40:47.5915740Z due to: 2022-12-01T10:40:47.5915922Z Traceback (most recent call last): 2022-12-01T10:40:47.5916281Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5916620Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5916930Z RecursionError: maximum recursion depth exceeded in __subclasscheck__ 2022-12-01T10:40:47.5917100Z 2022-12-01T10:40:47.5917235Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5917398Z 2022-12-01T10:40:47.5917475Z Traceback (most recent call last): 2022-12-01T10:40:47.5917753Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5918027Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5918248Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5918389Z 2022-12-01T10:40:47.5918459Z from user code: 2022-12-01T10:40:47.5918695Z File "test_nn.py", line 18174, in 2022-12-01T10:40:47.5919058Z module.register_parameter('test_param', UninitializedParameter()) 2022-12-01T10:40:47.5919217Z 2022-12-01T10:40:47.5919347Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5919567Z ========== 2022-12-01T10:40:47.5919724Z ok (0.104s) 2022-12-01T10:40:47.5920173Z test_lazy_module_parameter (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18114 2022-12-01T10:40:47.5920495Z due to: 2022-12-01T10:40:47.5920679Z Traceback (most recent call last): 2022-12-01T10:40:47.5921044Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5921385Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5921692Z RecursionError: maximum recursion depth exceeded in __subclasscheck__ 2022-12-01T10:40:47.5921893Z 2022-12-01T10:40:47.5922027Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5922193Z 2022-12-01T10:40:47.5922272Z Traceback (most recent call last): 2022-12-01T10:40:47.5922546Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5922817Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5923036Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5923176Z 2022-12-01T10:40:47.5923247Z from user code: 2022-12-01T10:40:47.5923485Z File "test_nn.py", line 18115, in 2022-12-01T10:40:47.5923880Z module.register_parameter('test_param', UninitializedParameter()) 2022-12-01T10:40:47.5924041Z 2022-12-01T10:40:47.5924172Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5924388Z ========== 2022-12-01T10:40:47.5924545Z ok (0.019s) 2022-12-01T10:40:47.5924743Z test_lazy_pre_forward_hook (__main__.TestLazyModules) 2022-12-01T10:40:47.5925420Z This test is to test whether lazymodule can register other pre-forward hook ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T10:40:47.5925980Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T10:40:47.5926211Z ok (0.011s) 2022-12-01T10:40:47.5926666Z test_lazy_share_memory_buffer (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18197 2022-12-01T10:40:47.5927126Z due to: 2022-12-01T10:40:47.5927322Z Traceback (most recent call last): 2022-12-01T10:40:47.5927692Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5928034Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5928348Z RecursionError: maximum recursion depth exceeded in __subclasscheck__ 2022-12-01T10:40:47.5928518Z 2022-12-01T10:40:47.5928653Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5928805Z 2022-12-01T10:40:47.5928966Z Traceback (most recent call last): 2022-12-01T10:40:47.5929252Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5929526Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5929749Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5929894Z 2022-12-01T10:40:47.5929965Z from user code: 2022-12-01T10:40:47.5930210Z File "test_nn.py", line 18198, in 2022-12-01T10:40:47.5930564Z module.register_buffer('test_buffer', UninitializedBuffer()) 2022-12-01T10:40:47.5930714Z 2022-12-01T10:40:47.5930845Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5931064Z ========== 2022-12-01T10:40:47.5931229Z ok (0.013s) 2022-12-01T10:40:47.5931682Z test_lazy_share_memory_param (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18189 2022-12-01T10:40:47.5932002Z due to: 2022-12-01T10:40:47.5932185Z Traceback (most recent call last): 2022-12-01T10:40:47.5932548Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5932889Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5933197Z RecursionError: maximum recursion depth exceeded in __subclasscheck__ 2022-12-01T10:40:47.5933366Z 2022-12-01T10:40:47.5933503Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5933668Z 2022-12-01T10:40:47.5933746Z Traceback (most recent call last): 2022-12-01T10:40:47.5934022Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5934366Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5934590Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5934732Z 2022-12-01T10:40:47.5934803Z from user code: 2022-12-01T10:40:47.5935045Z File "test_nn.py", line 18190, in 2022-12-01T10:40:47.5935414Z module.register_parameter('test_param', UninitializedParameter()) 2022-12-01T10:40:47.5935575Z 2022-12-01T10:40:47.5935707Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5935926Z ========== 2022-12-01T10:40:47.5936084Z ok (0.013s) 2022-12-01T10:40:47.5936280Z test_linear (__main__.TestLazyModules) ... ok (0.073s) 2022-12-01T10:40:47.5936798Z test_linear_state (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18240 2022-12-01T10:40:47.5937107Z due to: 2022-12-01T10:40:47.5937276Z Traceback (most recent call last): 2022-12-01T10:40:47.5937553Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.5937987Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.5938430Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:40:47.5938626Z 2022-12-01T10:40:47.5938684Z from user code: 2022-12-01T10:40:47.5938913Z File "test_nn.py", line 18244, in 2022-12-01T10:40:47.5939197Z self.assertFalse(lazy_module.has_uninitialized_params()) 2022-12-01T10:40:47.5939357Z 2022-12-01T10:40:47.5939476Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5939698Z ========== 2022-12-01T10:40:47.5939857Z ok (0.027s) 2022-12-01T10:40:47.5940094Z test_materialize_device (__main__.TestLazyModules) ... skip: CUDA not available (0.002s) 2022-12-01T10:40:47.5940628Z test_materialize_dtype (__main__.TestLazyModules) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 18621 2022-12-01T10:40:47.5940946Z due to: 2022-12-01T10:40:47.5941128Z Traceback (most recent call last): 2022-12-01T10:40:47.5941490Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 512, in 2022-12-01T10:40:47.5941829Z if any(not issubclass(t, FakeTensor) and t is not torch.Tensor for t in types): 2022-12-01T10:40:47.5942138Z RecursionError: maximum recursion depth exceeded in __subclasscheck__ 2022-12-01T10:40:47.5942307Z 2022-12-01T10:40:47.5942441Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.5942590Z 2022-12-01T10:40:47.5942681Z Traceback (most recent call last): 2022-12-01T10:40:47.5942957Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.5943230Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.5943451Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.5943595Z 2022-12-01T10:40:47.5943665Z from user code: 2022-12-01T10:40:47.5943899Z File "test_nn.py", line 18622, in 2022-12-01T10:40:47.5944248Z module.register_parameter('test_param', UninitializedParameter()) 2022-12-01T10:40:47.5944422Z 2022-12-01T10:40:47.5944553Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.5944769Z ========== 2022-12-01T10:40:47.5944923Z ok (0.014s) 2022-12-01T10:40:47.5945130Z test_optimizer_pass (__main__.TestLazyModules) ... ok (0.912s) 2022-12-01T10:40:47.5945401Z test_spectral_norm (__main__.TestLazyModules) ... ok (0.009s) 2022-12-01T10:40:47.5945672Z test_weight_norm (__main__.TestLazyModules) ... ok (0.008s) 2022-12-01T10:40:47.5946004Z test_global_and_local_hooks_order (__main__.TestModuleGlobalHooks) ... skip: TorchDynamo does not work well with hooks (0.016s) 2022-12-01T10:40:47.5946458Z test_module_backward_global_hook_writeable (__main__.TestModuleGlobalHooks) ... skip: https://github.com/pytorch/torchdynamo/issues/847 (0.001s) 2022-12-01T10:40:47.5946880Z test_module_forward_forward_hook_removable (__main__.TestModuleGlobalHooks) 2022-12-01T10:40:47.5947255Z This test is to test when multiple forward hook functions can be registered ... skip: TorchDynamo does not work well with hooks (0.001s) 2022-12-01T10:40:47.5947612Z test_module_forward_preforward_hook_removable (__main__.TestModuleGlobalHooks) 2022-12-01T10:40:47.5948075Z This test is to test when multiple pre-forward hook functions can be ... skip: TorchDynamo does not work well with hooks (0.001s) 2022-12-01T10:40:47.5948551Z test_module_global_forward_preforward_hook_writeable (__main__.TestModuleGlobalHooks) ... skip: TorchDynamo does not work well with hooks (0.001s) 2022-12-01T10:40:47.5949514Z test_module_global_hook_invalid_outputs (__main__.TestModuleGlobalHooks) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1113: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-12-01T10:40:47.5950227Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-12-01T10:40:47.5951016Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1113: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-12-01T10:40:47.5951662Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-12-01T10:40:47.5951917Z ok (0.032s) 2022-12-01T10:40:47.5952201Z test_module_global_hooks (__main__.TestModuleGlobalHooks) ... skip: TorchDynamo does not work well with hooks (0.003s) 2022-12-01T10:40:47.5952515Z test_AdaptiveAvgPool1d (__main__.TestNN) ... ok (0.137s) 2022-12-01T10:40:47.5952863Z test_AdaptiveAvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.027s) 2022-12-01T10:40:47.5953174Z test_AdaptiveAvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.098s) 2022-12-01T10:40:47.5953491Z test_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5953812Z test_AdaptiveAvgPool1d_one_output (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5954139Z test_AdaptiveAvgPool1d_one_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5954462Z test_AdaptiveAvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.038s) 2022-12-01T10:40:47.5954773Z test_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5955083Z test_AdaptiveAvgPool2d_single (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5955375Z test_AdaptiveAvgPool2d_single_1x1output (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5955699Z test_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5956056Z test_AdaptiveAvgPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5956364Z test_AdaptiveAvgPool2d_tuple (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5956678Z test_AdaptiveAvgPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5956978Z test_AdaptiveAvgPool2d_tuple_none (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5957300Z test_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5957618Z test_AdaptiveAvgPool3d_last_dim (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.5957923Z test_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5958273Z test_AdaptiveAvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5958597Z test_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5958908Z test_AdaptiveAvgPool3d_single (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5959208Z test_AdaptiveAvgPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5959520Z test_AdaptiveAvgPool3d_tuple (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5959831Z test_AdaptiveAvgPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5960162Z test_AdaptiveAvgPool3d_tuple_none (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.5960485Z test_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5960794Z test_AdaptiveLogSoftmax (__main__.TestNN) ... ok (0.152s) 2022-12-01T10:40:47.5961100Z test_AdaptiveLogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5961382Z test_AdaptiveMaxPool1d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5961678Z test_AdaptiveMaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5961986Z test_AdaptiveMaxPool1d_no_batch_dim (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.5962297Z test_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5962613Z test_AdaptiveMaxPool2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5962939Z test_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5963250Z test_AdaptiveMaxPool2d_single (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.5963551Z test_AdaptiveMaxPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5963859Z test_AdaptiveMaxPool2d_tuple (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5964170Z test_AdaptiveMaxPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5964471Z test_AdaptiveMaxPool2d_tuple_none (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5964791Z test_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5965109Z test_AdaptiveMaxPool3d_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5965432Z test_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5965730Z test_AdaptiveMaxPool3d_single (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5966041Z test_AdaptiveMaxPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5966362Z test_AdaptiveMaxPool3d_single_nonatomic (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5966688Z test_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5967148Z test_AdaptiveMaxPool3d_tuple (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5967472Z test_AdaptiveMaxPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5967794Z test_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5968122Z test_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5968449Z test_AdaptiveMaxPool3d_tuple_none (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.5968775Z test_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5969151Z test_AvgPool1d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5969417Z test_AvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5969703Z test_AvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5970059Z test_AvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5970337Z test_AvgPool1d_stride (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5970624Z test_AvgPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5970916Z test_AvgPool1d_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5971200Z test_AvgPool1d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5971481Z test_AvgPool2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5971791Z test_AvgPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5972075Z test_AvgPool2d_divisor (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5972350Z test_AvgPool2d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5972646Z test_AvgPool2d_divisor_stride (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.5972949Z test_AvgPool2d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5973240Z test_AvgPool2d_divisor_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5973555Z test_AvgPool2d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5973882Z test_AvgPool2d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.028s) 2022-12-01T10:40:47.5974233Z test_AvgPool2d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5974560Z test_AvgPool2d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5974898Z test_AvgPool2d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5975228Z test_AvgPool2d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-12-01T10:40:47.5975555Z test_AvgPool2d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5975846Z test_AvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.5976142Z test_AvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5976433Z test_AvgPool2d_stride (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5976706Z test_AvgPool2d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5976996Z test_AvgPool2d_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5977296Z test_AvgPool2d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5977573Z test_AvgPool3d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5977832Z test_AvgPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5978112Z test_AvgPool3d_divisor (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5978400Z test_AvgPool3d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5978679Z test_AvgPool3d_divisor_stride (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5978965Z test_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5979310Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5979661Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor (__main__.TestNN) ... ok (0.026s) 2022-12-01T10:40:47.5980023Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5980387Z test_AvgPool3d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5980691Z test_AvgPool3d_divisor_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5981028Z test_AvgPool3d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5981358Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5981712Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5982079Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor (__main__.TestNN) ... ok (0.026s) 2022-12-01T10:40:47.5982486Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5982856Z test_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5983212Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5983583Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.5983957Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5984322Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5984678Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5985049Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.5985424Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5985783Z test_AvgPool3d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5986128Z test_AvgPool3d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5986456Z test_AvgPool3d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5986792Z test_AvgPool3d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5987117Z test_AvgPool3d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-12-01T10:40:47.5987442Z test_AvgPool3d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5987735Z test_AvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5988036Z test_AvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5988325Z test_AvgPool3d_stride (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5988596Z test_AvgPool3d_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5988911Z test_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5989247Z test_AvgPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5989536Z test_AvgPool3d_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5989820Z test_AvgPool3d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5990133Z test_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5990473Z test_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5990812Z test_AvgPool3d_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.5991133Z test_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5991471Z test_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5991839Z test_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5992122Z test_BCELoss (__main__.TestNN) ... ok (0.026s) 2022-12-01T10:40:47.5992399Z test_BCELoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.003s) 2022-12-01T10:40:47.5992716Z test_BCELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.003s) 2022-12-01T10:40:47.5993031Z test_BCELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.003s) 2022-12-01T10:40:47.5993357Z test_BCELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.003s) 2022-12-01T10:40:47.5993648Z test_BCELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.5993958Z test_BCELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5994289Z test_BCELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5994633Z test_BCELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5994933Z test_BCELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.5995242Z test_BCELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5995571Z test_BCELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5995911Z test_BCELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5996212Z test_BCELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.5996515Z test_BCELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5996842Z test_BCELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5997184Z test_BCELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5997475Z test_BCELoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.5997750Z test_BCELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5998038Z test_BCELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.5998339Z test_BCELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5998635Z test_BCELoss_scalar_weights (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.5998929Z test_BCELoss_scalar_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5999277Z test_BCELoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5999625Z test_BCELoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.5999957Z test_BCELoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6000249Z test_BCELoss_weights (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6000545Z test_BCELoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6000878Z test_BCELoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6001194Z test_BCELoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6001523Z test_BCELoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6001817Z test_BCELoss_weights_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6002125Z test_BCELoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6002453Z test_BCELoss_weights_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6002774Z test_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6003079Z test_BCEWithLogitsLoss (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6003375Z test_BCEWithLogitsLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6003719Z test_BCEWithLogitsLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6004059Z test_BCEWithLogitsLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6004744Z test_BCEWithLogitsLoss_legacy_enum (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-12-01T10:40:47.6005135Z warnings.warn(warning.format(ret)) 2022-12-01T10:40:47.6005618Z /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-12-01T10:40:47.6005971Z warnings.warn(warning.format(ret)) 2022-12-01T10:40:47.6006152Z ok (0.006s) 2022-12-01T10:40:47.6006422Z test_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6006751Z test_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6007241Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6007612Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6007988Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6008324Z test_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6008668Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6009108Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6009485Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6009815Z test_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6010142Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6010515Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6010888Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6011212Z test_BCEWithLogitsLoss_no_reduce (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6011519Z test_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6011841Z test_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6012177Z test_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6012502Z test_BCEWithLogitsLoss_scalar_weights (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6012829Z test_BCEWithLogitsLoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6013200Z test_BCEWithLogitsLoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6013572Z test_BCEWithLogitsLoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6013950Z test_BCEWithLogitsLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6014275Z test_BCEWithLogitsLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6014636Z test_BCEWithLogitsLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6014995Z test_BCEWithLogitsLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6015290Z test_BatchNorm1d_3d_input (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6015589Z test_BatchNorm1d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6015922Z test_BatchNorm1d_3d_input_eval (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6016233Z test_BatchNorm1d_3d_input_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6016528Z test_BatchNorm1d_3d_input_not_affine (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6016847Z test_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6017167Z test_BatchNorm1d_3d_input_not_affine_eval (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6017483Z test_BatchNorm1d_3d_input_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6017782Z test_BatchNorm1d_affine (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6018075Z test_BatchNorm1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6018368Z test_BatchNorm1d_affine_eval (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6018659Z test_BatchNorm1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6018971Z test_BatchNorm1d_affine_simple_average (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6019297Z test_BatchNorm1d_affine_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6019613Z test_BatchNorm1d_affine_simple_average_eval (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6019950Z test_BatchNorm1d_affine_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6020262Z test_BatchNorm1d_not_affine (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6020563Z test_BatchNorm1d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6020851Z test_BatchNorm1d_not_affine_eval (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6021166Z test_BatchNorm1d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6021481Z test_BatchNorm1d_not_tracking_stats (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6021790Z test_BatchNorm1d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6022107Z test_BatchNorm1d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6022442Z test_BatchNorm1d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6022751Z test_BatchNorm1d_zero_batch (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6023042Z test_BatchNorm1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6023343Z test_BatchNorm1d_zero_batch_eval (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6023655Z test_BatchNorm1d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6023933Z test_BatchNorm2d (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6024195Z test_BatchNorm2d_2d_simple_average (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6024511Z test_BatchNorm2d_2d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6024825Z test_BatchNorm2d_2d_simple_average_eval (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6025167Z test_BatchNorm2d_2d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6025499Z test_BatchNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6025780Z test_BatchNorm2d_eval (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6026054Z test_BatchNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6026340Z test_BatchNorm2d_momentum (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6026636Z test_BatchNorm2d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6026959Z test_BatchNorm2d_momentum_eval (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6027256Z test_BatchNorm2d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6027555Z test_BatchNorm2d_not_affine (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6027857Z test_BatchNorm2d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6028143Z test_BatchNorm2d_not_affine_eval (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6028453Z test_BatchNorm2d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6028766Z test_BatchNorm2d_not_tracking_stats (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6029085Z test_BatchNorm2d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6029389Z test_BatchNorm2d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6029716Z test_BatchNorm2d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6030025Z test_BatchNorm2d_zero_batch (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6030311Z test_BatchNorm2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6030614Z test_BatchNorm2d_zero_batch_eval (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6030925Z test_BatchNorm2d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6031210Z test_BatchNorm3d (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6031457Z test_BatchNorm3d_3d_simple_average (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6031775Z test_BatchNorm3d_3d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6032091Z test_BatchNorm3d_3d_simple_average_eval (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6032407Z test_BatchNorm3d_3d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6032741Z test_BatchNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6033022Z test_BatchNorm3d_eval (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6033310Z test_BatchNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6033586Z test_BatchNorm3d_momentum (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6033879Z test_BatchNorm3d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6034177Z test_BatchNorm3d_momentum_eval (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6034473Z test_BatchNorm3d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6034771Z test_BatchNorm3d_not_affine (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6035072Z test_BatchNorm3d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6035376Z test_BatchNorm3d_not_affine_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6035674Z test_BatchNorm3d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6036019Z test_BatchNorm3d_not_tracking_stats (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6036339Z test_BatchNorm3d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6036666Z test_BatchNorm3d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6036983Z test_BatchNorm3d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6037291Z test_BatchNorm3d_zero_batch (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6037592Z test_BatchNorm3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6037906Z test_BatchNorm3d_zero_batch_eval (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6038223Z test_BatchNorm3d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6038500Z test_CELU (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6038748Z test_CELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6039018Z test_CELU_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6039304Z test_CELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6039578Z test_CELU_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6039837Z test_CELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6040361Z test_CTCLoss_2d_int_target_lengths_intlists (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _forward_criterion test_nn.py line 108 2022-12-01T10:40:47.6040664Z due to: 2022-12-01T10:40:47.6040837Z Traceback (most recent call last): 2022-12-01T10:40:47.6041201Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2629, in ctc_loss 2022-12-01T10:40:47.6041562Z log_probs, targets, input_lengths, target_lengths, blank, _Reduction.get_enum(reduction), zero_infinity 2022-12-01T10:40:47.6042178Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:40:47.6042478Z 2022-12-01T10:40:47.6042602Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6042770Z 2022-12-01T10:40:47.6042861Z Traceback (most recent call last): 2022-12-01T10:40:47.6043139Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6043413Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6043636Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6043779Z 2022-12-01T10:40:47.6043849Z from user code: 2022-12-01T10:40:47.6044059Z File "test_nn.py", line 115, in _forward_criterion 2022-12-01T10:40:47.6044291Z output = criterion(input, target, *extra_args) 2022-12-01T10:40:47.6044432Z 2022-12-01T10:40:47.6044565Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6044782Z ========== 2022-12-01T10:40:47.6044927Z ok (0.044s) 2022-12-01T10:40:47.6045207Z test_CTCLoss_2d_int_target_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6045584Z test_CTCLoss_2d_int_target_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6045929Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6046283Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6046679Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6047323Z test_CTCLoss_2d_int_target_lengths_tensors (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6047722Z test_CTCLoss_2d_int_target_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6048083Z test_CTCLoss_2d_int_target_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6048430Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6048797Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6049278Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6049638Z test_CTCLoss_2d_lengths_tensors (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6049959Z test_CTCLoss_2d_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6050310Z test_CTCLoss_2d_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6050618Z test_CTCLoss_2d_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6050956Z test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6051332Z test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6051675Z test_CTCLoss_critical_target_len (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6051957Z test_CTCLoss_lengthchecks_cpu (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6052258Z test_CTCLoss_lengthchecks_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6052546Z test_CTCLoss_lengths_intlists (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6052843Z test_CTCLoss_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6053194Z test_CTCLoss_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6053514Z test_CTCLoss_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6053856Z test_CTCLoss_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6054219Z test_CTCLoss_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6054536Z test_CTCLoss_lengths_tensors (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6054846Z test_CTCLoss_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6055192Z test_CTCLoss_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6055496Z test_CTCLoss_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6055837Z test_CTCLoss_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6056211Z test_CTCLoss_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6056548Z test_CTCLoss_long_targets (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6057032Z test_CTCLoss_typechecks (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_CTCLoss_typechecks test_nn.py line 6681 2022-12-01T10:40:47.6057324Z due to: 2022-12-01T10:40:47.6057508Z Traceback (most recent call last): 2022-12-01T10:40:47.6057783Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6058072Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6058503Z TypeError: randint() received an invalid combination of arguments - got (int, int, tuple, dtype=torch.dtype), but expected one of: 2022-12-01T10:40:47.6059002Z * (int high, tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6059458Z * (int high, tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6059936Z * (int low, int high, tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6060445Z * (int low, int high, tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6060685Z 2022-12-01T10:40:47.6060689Z 2022-12-01T10:40:47.6060761Z from user code: 2022-12-01T10:40:47.6060968Z File "test_nn.py", line 6684, in test_CTCLoss_typechecks 2022-12-01T10:40:47.6061248Z targets = torch.randint(1, 15, (sum(target_lengths),), dtype=torch.int) 2022-12-01T10:40:47.6061416Z 2022-12-01T10:40:47.6061549Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6061755Z ========== 2022-12-01T10:40:47.6061912Z ok (0.014s) 2022-12-01T10:40:47.6062152Z test_CTCLoss_zero_infinity (__main__.TestNN) ... skip: CUDA not available (0.002s) 2022-12-01T10:40:47.6062429Z test_ConstantPad1d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6062674Z test_ConstantPad1d_batch (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6063088Z test_ConstantPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6063392Z test_ConstantPad1d_complex (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6063685Z test_ConstantPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6064016Z test_ConstantPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6064303Z test_ConstantPad2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6064546Z test_ConstantPad2d_complex (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6064851Z test_ConstantPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6065180Z test_ConstantPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6065476Z test_ConstantPad2d_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6065774Z test_ConstantPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6066070Z test_ConstantPad3d (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6066329Z test_ConstantPad3d_complex (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6066621Z test_ConstantPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6066947Z test_ConstantPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6067241Z test_ConstantPad3d_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6067556Z test_ConstantPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6067824Z test_Conv1d (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6068077Z test_Conv1d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6068392Z test_Conv1d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6068699Z test_Conv1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6068972Z test_Conv1d_dilated (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6069251Z test_Conv1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6069529Z test_Conv1d_groups (__main__.TestNN) ... ok (0.052s) 2022-12-01T10:40:47.6069794Z test_Conv1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6070647Z test_Conv1d_module_same_padding (__main__.TestNN) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:896.) 2022-12-01T10:40:47.6071181Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6071383Z ok (0.107s) 2022-12-01T10:40:47.6071571Z test_Conv1d_pad1 (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6071846Z test_Conv1d_pad1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6072150Z test_Conv1d_pad1size1 (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6072423Z test_Conv1d_pad1size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6072699Z test_Conv1d_pad2 (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6072977Z test_Conv1d_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6073242Z test_Conv1d_pad2size1 (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6073527Z test_Conv1d_pad2size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6073808Z test_Conv1d_pad_same (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6074051Z test_Conv1d_pad_same2 (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6074320Z test_Conv1d_pad_same2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6074632Z test_Conv1d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6074920Z test_Conv1d_pad_same_dilated (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6075211Z test_Conv1d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6075499Z test_Conv1d_pad_valid (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6075786Z test_Conv1d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6076077Z test_Conv1d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6076374Z test_Conv1d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6076681Z test_Conv1d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6077000Z test_Conv1d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6077277Z test_Conv1d_stride (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6077557Z test_Conv1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6077836Z test_Conv1d_zero_batch (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6078121Z test_Conv1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6078401Z test_Conv1d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6078703Z test_Conv1d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6078980Z test_Conv2d (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6079410Z test_Conv2d_1x1 (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6194 2022-12-01T10:40:47.6079695Z due to: 2022-12-01T10:40:47.6079883Z Traceback (most recent call last): 2022-12-01T10:40:47.6080161Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6080577Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6081066Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:40:47.6081287Z 2022-12-01T10:40:47.6081393Z from user code: 2022-12-01T10:40:47.6081610Z File "test_nn.py", line 6197, in 2022-12-01T10:40:47.6081889Z with torch.backends.mkldnn.flags(enabled=enabled): 2022-12-01T10:40:47.6082047Z 2022-12-01T10:40:47.6082180Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6082398Z ========== 2022-12-01T10:40:47.6082543Z ok (0.019s) 2022-12-01T10:40:47.6082934Z test_Conv2d_OneDNN (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_Conv2d_OneDNN test_nn.py line 6200 2022-12-01T10:40:47.6083212Z due to: 2022-12-01T10:40:47.6083386Z Traceback (most recent call last): 2022-12-01T10:40:47.6083696Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6084130Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6084605Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:40:47.6084829Z 2022-12-01T10:40:47.6084900Z from user code: 2022-12-01T10:40:47.6085107Z File "test_nn.py", line 6224, in test_Conv2d_OneDNN 2022-12-01T10:40:47.6085369Z with torch.backends.mkldnn.flags(enabled=False): 2022-12-01T10:40:47.6085512Z 2022-12-01T10:40:47.6085643Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6085860Z ========== 2022-12-01T10:40:47.6086017Z ok (0.206s) 2022-12-01T10:40:47.6086219Z test_Conv2d_backward_twice (__main__.TestNN) ... ok (0.041s) 2022-12-01T10:40:47.6086488Z test_Conv2d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.030s) 2022-12-01T10:40:47.6086807Z test_Conv2d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6087235Z test_Conv2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6087515Z test_Conv2d_depthwise (__main__.TestNN) ... ok (0.024s) 2022-12-01T10:40:47.6087805Z test_Conv2d_depthwise_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6088100Z test_Conv2d_depthwise_dilated (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6088392Z test_Conv2d_depthwise_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6088692Z test_Conv2d_depthwise_padded (__main__.TestNN) ... ok (0.026s) 2022-12-01T10:40:47.6089056Z test_Conv2d_depthwise_padded_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6089350Z test_Conv2d_depthwise_strided (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6089654Z test_Conv2d_depthwise_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6089970Z test_Conv2d_depthwise_with_multiplier (__main__.TestNN) ... ok (0.025s) 2022-12-01T10:40:47.6090297Z test_Conv2d_depthwise_with_multiplier_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6090583Z test_Conv2d_dilated (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6090867Z test_Conv2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6091166Z test_Conv2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.046s) 2022-12-01T10:40:47.6091471Z test_Conv2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6091764Z test_Conv2d_groups (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6092045Z test_Conv2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6092330Z test_Conv2d_groups_nobias (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6092577Z test_Conv2d_groups_nobias_v2 (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6092832Z test_Conv2d_groups_thnn (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6093119Z test_Conv2d_groups_thnn_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6093483Z test_Conv2d_groups_thnn_with_long_tensor (__main__.TestNN) ... ok (0.046s) 2022-12-01T10:40:47.6093806Z test_Conv2d_groups_thnn_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6094121Z test_Conv2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6094438Z test_Conv2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6094736Z test_Conv2d_inconsistent_types (__main__.TestNN) ... ok (0.032s) 2022-12-01T10:40:47.6095059Z test_Conv2d_inconsistent_types_on_GPU_with_cudnn (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6095455Z test_Conv2d_inconsistent_types_on_GPU_without_cudnn (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6095949Z test_Conv2d_missing_argument (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6261 2022-12-01T10:40:47.6096218Z due to: 2022-12-01T10:40:47.6096401Z Traceback (most recent call last): 2022-12-01T10:40:47.6096683Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6096956Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6097432Z TypeError: conv2d() received an invalid combination of arguments - got (NoneType, FakeTensor, FakeTensor, tuple, tuple, tuple, int), but expected one of: 2022-12-01T10:40:47.6097871Z * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of ints padding, tuple of ints dilation, int groups) 2022-12-01T10:40:47.6098378Z didn't match because some of the arguments have invalid types: (!NoneType!, !FakeTensor!, !FakeTensor!, !tuple!, !tuple!, !tuple!, int) 2022-12-01T10:40:47.6098764Z * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, str padding, tuple of ints dilation, int groups) 2022-12-01T10:40:47.6099256Z didn't match because some of the arguments have invalid types: (!NoneType!, !FakeTensor!, !FakeTensor!, !tuple!, !tuple!, !tuple!, int) 2022-12-01T10:40:47.6099480Z 2022-12-01T10:40:47.6099484Z 2022-12-01T10:40:47.6099556Z from user code: 2022-12-01T10:40:47.6099756Z File "test_nn.py", line 6261, in 2022-12-01T10:40:47.6099980Z self.assertRaises(TypeError, lambda: c(None)) 2022-12-01T10:40:47.6100126Z 2022-12-01T10:40:47.6100257Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6100475Z ========== 2022-12-01T10:40:47.6100621Z ok (0.021s) 2022-12-01T10:40:47.6100842Z test_Conv2d_module_same_padding (__main__.TestNN) ... ok (0.120s) 2022-12-01T10:40:47.6101098Z test_Conv2d_no_bias (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6101364Z test_Conv2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6101660Z test_Conv2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.034s) 2022-12-01T10:40:47.6101976Z test_Conv2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6102270Z test_Conv2d_pad_same (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6102536Z test_Conv2d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6102825Z test_Conv2d_pad_same_dilated (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6103126Z test_Conv2d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6103402Z test_Conv2d_pad_valid (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6103686Z test_Conv2d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6103967Z test_Conv2d_padding (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6104236Z test_Conv2d_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6104532Z test_Conv2d_padding_with_long_tensor (__main__.TestNN) ... ok (0.042s) 2022-12-01T10:40:47.6104849Z test_Conv2d_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6105193Z test_Conv2d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6105486Z test_Conv2d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6105795Z test_Conv2d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6106109Z test_Conv2d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6106402Z test_Conv2d_strided (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6106698Z test_Conv2d_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6106994Z test_Conv2d_strided_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6107310Z test_Conv2d_strided_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6107600Z test_Conv2d_with_long_tensor (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6107895Z test_Conv2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6108181Z test_Conv2d_zero_batch (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6108453Z test_Conv2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6108752Z test_Conv2d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6109072Z test_Conv2d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6109379Z test_Conv2d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6109670Z test_Conv2d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6109946Z test_Conv3d (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6110187Z test_Conv3d_1x1x1_no_bias (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6110459Z test_Conv3d_1x1x1_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6110758Z test_Conv3d_1x1x1_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6111074Z test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6111383Z test_Conv3d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.038s) 2022-12-01T10:40:47.6111685Z test_Conv3d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6112001Z test_Conv3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6112269Z test_Conv3d_dilated (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6112538Z test_Conv3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6112823Z test_Conv3d_dilated_strided (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6113125Z test_Conv3d_dilated_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6113411Z test_Conv3d_groups (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6113676Z test_Conv3d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6114189Z test_Conv3d_groups_nobias (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6467 2022-12-01T10:40:47.6114496Z due to: 2022-12-01T10:40:47.6114668Z Traceback (most recent call last): 2022-12-01T10:40:47.6114947Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:40:47.6115212Z return n.meta["example_value"] 2022-12-01T10:40:47.6115446Z KeyError: 'example_value' 2022-12-01T10:40:47.6115552Z 2022-12-01T10:40:47.6115623Z from user code: 2022-12-01T10:40:47.6115861Z File "test_nn.py", line 6471, in 2022-12-01T10:40:47.6116157Z torch.cat([i1.grad.data, i2.grad.data], 1), 2022-12-01T10:40:47.6116295Z 2022-12-01T10:40:47.6116413Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6116630Z ========== 2022-12-01T10:40:47.6116788Z ok (0.261s) 2022-12-01T10:40:47.6117208Z test_Conv3d_groups_wbias (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6497 2022-12-01T10:40:47.6117509Z due to: 2022-12-01T10:40:47.6117691Z Traceback (most recent call last): 2022-12-01T10:40:47.6117966Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:40:47.6118243Z return n.meta["example_value"] 2022-12-01T10:40:47.6118478Z KeyError: 'example_value' 2022-12-01T10:40:47.6118596Z 2022-12-01T10:40:47.6118670Z from user code: 2022-12-01T10:40:47.6118891Z File "test_nn.py", line 6501, in 2022-12-01T10:40:47.6119155Z torch.cat([i1.grad.data, i2.grad.data], 1), 2022-12-01T10:40:47.6119292Z 2022-12-01T10:40:47.6119424Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6119629Z ========== 2022-12-01T10:40:47.6119785Z ok (0.465s) 2022-12-01T10:40:47.6120009Z test_Conv3d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6120312Z test_Conv3d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6120621Z test_Conv3d_module_same_padding (__main__.TestNN) ... ok (0.140s) 2022-12-01T10:40:47.6120878Z test_Conv3d_no_bias (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6121159Z test_Conv3d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6121444Z test_Conv3d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6121755Z test_Conv3d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6122050Z test_Conv3d_pad_same (__main__.TestNN) ... ok (0.028s) 2022-12-01T10:40:47.6122319Z test_Conv3d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6122606Z test_Conv3d_pad_same_dilated (__main__.TestNN) ... ok (0.028s) 2022-12-01T10:40:47.6122906Z test_Conv3d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6123193Z test_Conv3d_pad_valid (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6123464Z test_Conv3d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6123762Z test_Conv3d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6124081Z test_Conv3d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6124361Z test_Conv3d_stride (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6124640Z test_Conv3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6124929Z test_Conv3d_stride_padding (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6125230Z test_Conv3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6125528Z test_Conv3d_stride_padding_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6125860Z test_Conv3d_stride_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6126176Z test_Conv3d_stride_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6126477Z test_Conv3d_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6126775Z test_Conv3d_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6127222Z test_Conv3d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6127515Z test_Conv3d_zero_batch (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6127840Z test_Conv3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6128143Z test_Conv3d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6128468Z test_Conv3d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6128763Z test_Conv3d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6129129Z test_Conv3d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6129426Z test_ConvTranspose1d (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6129759Z test_ConvTranspose1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6130047Z test_ConvTranspose1d_dilated (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6130356Z test_ConvTranspose1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6130664Z test_ConvTranspose1d_groups (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6130964Z test_ConvTranspose1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6131271Z test_ConvTranspose1d_no_bias (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6131573Z test_ConvTranspose1d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6131864Z test_ConvTranspose2d (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6132138Z test_ConvTranspose2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6132434Z test_ConvTranspose2d_dilated (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6132744Z test_ConvTranspose2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6133056Z test_ConvTranspose2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-12-01T10:40:47.6133404Z test_ConvTranspose2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6133722Z test_ConvTranspose2d_groups (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6134028Z test_ConvTranspose2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6134336Z test_ConvTranspose2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-12-01T10:40:47.6134675Z test_ConvTranspose2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6135025Z test_ConvTranspose2d_half_cublas_gemm (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6135332Z test_ConvTranspose2d_no_bias (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6135623Z test_ConvTranspose2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6135939Z test_ConvTranspose2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-12-01T10:40:47.6136281Z test_ConvTranspose2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6136591Z test_ConvTranspose2d_output_size (__main__.TestNN) ... ok (0.181s) 2022-12-01T10:40:47.6136898Z test_ConvTranspose2d_output_size_downsample_upsample (__main__.TestNN) ... ok (2.967s) 2022-12-01T10:40:47.6137204Z test_ConvTranspose2d_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6137529Z test_ConvTranspose2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6137819Z test_ConvTranspose3d (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6138096Z test_ConvTranspose3d_correct_output_size (__main__.TestNN) ... ok (0.043s) 2022-12-01T10:40:47.6138408Z test_ConvTranspose3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6138689Z test_ConvTranspose3d_dilated (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6139032Z test_ConvTranspose3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6139332Z test_CosineEmbeddingLoss (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6139645Z test_CosineEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6139980Z test_CosineEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6140329Z test_CosineEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6140647Z test_CosineEmbeddingLoss_margin (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6140993Z test_CosineEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6141359Z test_CosineEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6141724Z test_CosineEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6142062Z test_CosineEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6142407Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6142804Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6143201Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6143547Z test_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6143886Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6144268Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6144651Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6144975Z test_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6145322Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6145701Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6146078Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6146404Z test_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6146748Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6147126Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6147503Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6147829Z test_CosineEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6148173Z test_CosineEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6148552Z test_CosineEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6148933Z test_CosineEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6149233Z test_CrossEntropyLoss (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6149491Z test_CrossEntropyLoss_2d (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6149797Z test_CrossEntropyLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6150157Z test_CrossEntropyLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6150497Z test_CrossEntropyLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6150811Z test_CrossEntropyLoss_2d_ignore_index (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6151147Z test_CrossEntropyLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6151502Z test_CrossEntropyLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6151892Z test_CrossEntropyLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6152232Z test_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6152593Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6152975Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6153365Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6153730Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6154098Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6154517Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6154932Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6155310Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6155688Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6156109Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6156526Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6156900Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6157261Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6157670Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6158073Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6158416Z test_CrossEntropyLoss_2d_prob_target (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6158736Z test_CrossEntropyLoss_2d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6159102Z test_CrossEntropyLoss_2d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6159468Z test_CrossEntropyLoss_2d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6159803Z test_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6160144Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6160571Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6160955Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6161319Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6161687Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6162125Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6162538Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6162902Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6163258Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6163659Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6164058Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6164413Z test_CrossEntropyLoss_2d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6164765Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6165155Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6165546Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6165880Z test_CrossEntropyLoss_2d_prob_target_weights (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6166229Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6166614Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6167115Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6167463Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6167845Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6168256Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6168666Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6169073Z test_CrossEntropyLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6169413Z test_CrossEntropyLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6169789Z test_CrossEntropyLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6170159Z test_CrossEntropyLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6170469Z test_CrossEntropyLoss_2d_weights (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6170795Z test_CrossEntropyLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6171155Z test_CrossEntropyLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6171577Z test_CrossEntropyLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6171897Z test_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6172261Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6172657Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6173070Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6173440Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6173828Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6174246Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6174645Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6175024Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6175409Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6175831Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6176232Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6176626Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6177039Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6177481Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6177908Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6178272Z test_CrossEntropyLoss_3d_prob_target (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6178608Z test_CrossEntropyLoss_3d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6178977Z test_CrossEntropyLoss_3d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6179333Z test_CrossEntropyLoss_3d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6179672Z test_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6180025Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6180412Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6180598Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6180746Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6180945Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6181174Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6181371Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6181521Z test_CrossEntropyLoss_3d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6181710Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6181922Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6182109Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6182250Z test_CrossEntropyLoss_3d_prob_target_weights (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6182423Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6182606Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6182784Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6182943Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6183143Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6183342Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6183536Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6183669Z test_CrossEntropyLoss_4d_prob_target (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6183849Z test_CrossEntropyLoss_4d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6184021Z test_CrossEntropyLoss_4d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6184183Z test_CrossEntropyLoss_4d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6184332Z test_CrossEntropyLoss_4d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6184520Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6184708Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6184894Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6185037Z test_CrossEntropyLoss_4d_prob_target_weights (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6185224Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6185405Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6185587Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6185733Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6185932Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6186131Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6186356Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6186520Z test_CrossEntropyLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6186679Z test_CrossEntropyLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6186837Z test_CrossEntropyLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6186990Z test_CrossEntropyLoss_dim_is_3 (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6187160Z test_CrossEntropyLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6187313Z test_CrossEntropyLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6187483Z test_CrossEntropyLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6187624Z test_CrossEntropyLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6187806Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6187989Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6188165Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6188299Z test_CrossEntropyLoss_higher_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6188472Z test_CrossEntropyLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6188641Z test_CrossEntropyLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6188800Z test_CrossEntropyLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6188947Z test_CrossEntropyLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6189133Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6189319Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6189504Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6189631Z test_CrossEntropyLoss_weights (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6189803Z test_CrossEntropyLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6189974Z test_CrossEntropyLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6190145Z test_CrossEntropyLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6190245Z test_CrossMapLRN2d (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6190394Z test_CrossMapLRN2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6190490Z test_ELU (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6190624Z test_ELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6190734Z test_ELU_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6190885Z test_ELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6190989Z test_ELU_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6191131Z test_ELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6191223Z test_Embedding (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6191379Z test_EmbeddingBag_discontiguous (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6191547Z test_EmbeddingBag_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6191662Z test_EmbeddingBag_max (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6191815Z test_EmbeddingBag_max_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6191944Z test_EmbeddingBag_max_padding_idx (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6192112Z test_EmbeddingBag_max_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6192255Z test_EmbeddingBag_mean (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6192396Z test_EmbeddingBag_mean_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6192525Z test_EmbeddingBag_mean_padding_idx (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6192695Z test_EmbeddingBag_mean_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6192814Z test_EmbeddingBag_sparse (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6192969Z test_EmbeddingBag_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6193083Z test_EmbeddingBag_sum (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6193231Z test_EmbeddingBag_sum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6193362Z test_EmbeddingBag_sum_padding_idx (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6193520Z test_EmbeddingBag_sum_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6193661Z test_Embedding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6193785Z test_Embedding_discontiguous (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6193944Z test_Embedding_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6194060Z test_Embedding_sparse (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6194209Z test_Embedding_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6194309Z test_Flatten (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6194446Z test_Flatten_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6194550Z test_Flatten_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6194703Z test_Flatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6194802Z test_Fold (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6194937Z test_Fold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6195047Z test_Fold_int_input (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6195193Z test_Fold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6195314Z test_Fold_no_batch_dim_input (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6195469Z test_Fold_no_batch_dim_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6195581Z test_Fold_no_batch_dim_int_input (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6195740Z test_Fold_no_batch_dim_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6195870Z test_FractionalMaxPool2d_ratio (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6196040Z test_FractionalMaxPool2d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6196186Z test_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6196364Z test_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6196527Z test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6196756Z test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6196892Z test_FractionalMaxPool2d_ratio_return_indices (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6197073Z test_FractionalMaxPool2d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6197201Z test_FractionalMaxPool2d_size (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6197366Z test_FractionalMaxPool2d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6197532Z test_FractionalMaxPool2d_size_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6197710Z test_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6197872Z test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6198070Z test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6198206Z test_FractionalMaxPool3d_asymsize (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6198361Z test_FractionalMaxPool3d_asymsize_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6198491Z test_FractionalMaxPool3d_ratio (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6198654Z test_FractionalMaxPool3d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6198798Z test_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6198976Z test_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6199139Z test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6199340Z test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6199489Z test_FractionalMaxPool3d_ratio_return_indices (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6199668Z test_FractionalMaxPool3d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6199781Z test_FractionalMaxPool3d_size (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6199946Z test_FractionalMaxPool3d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6200092Z test_FractionalMaxPool3d_size_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6200270Z test_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6200431Z test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6200628Z test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6200726Z test_GELU (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6200862Z test_GELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6200962Z test_GELU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6201109Z test_GELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6201216Z test_GELU_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6201364Z test_GELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6201460Z test_GLU (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6201596Z test_GLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6201697Z test_GLU_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6201865Z test_GLU_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6201964Z test_GLU_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6202112Z test_GLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6202229Z test_GroupNorm_1d_affine (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6202350Z test_GroupNorm_1d_affine_GN (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6202508Z test_GroupNorm_1d_affine_GN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6202659Z test_GroupNorm_1d_affine_GN_eval (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6202821Z test_GroupNorm_1d_affine_GN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6202972Z test_GroupNorm_1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6203082Z test_GroupNorm_1d_affine_eval (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6203240Z test_GroupNorm_1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6203405Z test_GroupNorm_1d_affine_large_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6203573Z test_GroupNorm_1d_affine_large_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6203694Z test_GroupNorm_1d_no_affine_IN (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6203854Z test_GroupNorm_1d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6203983Z test_GroupNorm_1d_no_affine_IN_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6204146Z test_GroupNorm_1d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6204266Z test_GroupNorm_1d_no_affine_LN (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6204411Z test_GroupNorm_1d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6204538Z test_GroupNorm_1d_no_affine_LN_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6204704Z test_GroupNorm_1d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6204820Z test_GroupNorm_2d_affine (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6204971Z test_GroupNorm_2d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6205094Z test_GroupNorm_2d_affine_eval (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6205254Z test_GroupNorm_2d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6205421Z test_GroupNorm_2d_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6205580Z test_GroupNorm_2d_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6205703Z test_GroupNorm_2d_no_affine_IN (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6205859Z test_GroupNorm_2d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6205985Z test_GroupNorm_2d_no_affine_IN_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6206148Z test_GroupNorm_2d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6206270Z test_GroupNorm_2d_no_affine_LN (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6206430Z test_GroupNorm_2d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6206557Z test_GroupNorm_2d_no_affine_LN_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6206704Z test_GroupNorm_2d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6206876Z test_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6207198Z test_GroupNorm_2d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6207306Z test_Hardshrink (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6207452Z test_Hardshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6207573Z test_Hardshrink_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6207731Z test_Hardshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6207893Z test_Hardshrink_scalar (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6208045Z test_Hardshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6208154Z test_Hardsigmoid_no_batch_dim (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6208312Z test_Hardsigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6208433Z test_Hardswish_no_batch_dim (__main__.TestNN) ... ok (0.003s) 2022-12-01T10:40:47.6208589Z test_Hardswish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6208692Z test_Hardtanh (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6208836Z test_Hardtanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6209041Z test_Hardtanh_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6209198Z test_Hardtanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6209299Z test_Hardtanh_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6209448Z test_Hardtanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6209569Z test_HingeEmbeddingLoss (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6209738Z test_HingeEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6209906Z test_HingeEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6210071Z test_HingeEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6210200Z test_HingeEmbeddingLoss_margin (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6210375Z test_HingeEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6210533Z test_HingeEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6210709Z test_HingeEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6210848Z test_HingeEmbeddingLoss_margin_no_reduce (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6211028Z test_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6211176Z test_HingeEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6211365Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6211554Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6211741Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6211880Z test_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6212053Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6212237Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6212473Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6212613Z test_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6212795Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6212975Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6213154Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6213322Z test_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6213505Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6213669Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6213848Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6213978Z test_HingeEmbeddingLoss_no_reduce (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6214143Z test_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6214277Z test_HingeEmbeddingLoss_scalar_margin (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6214462Z test_HingeEmbeddingLoss_scalar_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6214644Z test_HingeEmbeddingLoss_scalar_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6214826Z test_HingeEmbeddingLoss_scalar_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6214977Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6215161Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6215357Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6215547Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6215683Z test_HingeEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6215864Z test_HingeEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6216038Z test_HingeEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6216213Z test_HingeEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6216317Z test_HuberLoss (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6216468Z test_HuberLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6216606Z test_HuberLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6216752Z test_HuberLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6216897Z test_HuberLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6217007Z test_HuberLoss_delta (__main__.TestNN) ... ok (0.058s) 2022-12-01T10:40:47.6217155Z test_HuberLoss_delta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6217280Z test_HuberLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6217448Z test_HuberLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6217646Z test_HuberLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6217802Z test_HuberLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6217926Z test_HuberLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6218091Z test_HuberLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6218255Z test_HuberLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6218446Z test_HuberLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6218567Z test_HuberLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6218727Z test_HuberLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6218891Z test_HuberLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6219054Z test_HuberLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6219163Z test_HuberLoss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6219329Z test_HuberLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6219490Z test_HuberLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6219657Z test_HuberLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6219817Z test_HuberLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6219926Z test_InstanceNorm1d (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6220072Z test_InstanceNorm1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6220192Z test_InstanceNorm1d_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6220331Z test_InstanceNorm1d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6220461Z test_InstanceNorm1d_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6220624Z test_InstanceNorm1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6220754Z test_InstanceNorm1d_no_batch_dim_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6220922Z test_InstanceNorm1d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6221050Z test_InstanceNorm1d_tracking_stats (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6221215Z test_InstanceNorm1d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6221351Z test_InstanceNorm1d_tracking_stats_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6221520Z test_InstanceNorm1d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6221652Z test_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6221828Z test_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6221976Z test_InstanceNorm1d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6222160Z test_InstanceNorm1d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6222270Z test_InstanceNorm2d (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6222416Z test_InstanceNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6222534Z test_InstanceNorm2d_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6222715Z test_InstanceNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6222829Z test_InstanceNorm2d_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6222989Z test_InstanceNorm2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6223116Z test_InstanceNorm2d_no_batch_dim_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6223286Z test_InstanceNorm2d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6223413Z test_InstanceNorm2d_tracking_stats (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6223603Z test_InstanceNorm2d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6223734Z test_InstanceNorm2d_tracking_stats_eval (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6223902Z test_InstanceNorm2d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6224043Z test_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6224209Z test_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6224353Z test_InstanceNorm2d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6224534Z test_InstanceNorm2d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6224644Z test_InstanceNorm3d (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6224794Z test_InstanceNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6224912Z test_InstanceNorm3d_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6225061Z test_InstanceNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6225186Z test_InstanceNorm3d_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6225337Z test_InstanceNorm3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6225466Z test_InstanceNorm3d_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6225632Z test_InstanceNorm3d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6225758Z test_InstanceNorm3d_tracking_stats (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6225921Z test_InstanceNorm3d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6226055Z test_InstanceNorm3d_tracking_stats_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6226225Z test_InstanceNorm3d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6226365Z test_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6226530Z test_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6226675Z test_InstanceNorm3d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6226854Z test_InstanceNorm3d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6227553Z test_KLDivLoss (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6227774Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6228366Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6228617Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6229246Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6229467Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6229530Z ok (0.006s) 2022-12-01T10:40:47.6229646Z test_KLDivLoss_batch_mean (__main__.TestNN) ... ok (0.030s) 2022-12-01T10:40:47.6229778Z test_KLDivLoss_batch_mean_log_target (__main__.TestNN) ... ok (0.028s) 2022-12-01T10:40:47.6229924Z test_KLDivLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6230073Z test_KLDivLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6230218Z test_KLDivLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6230886Z test_KLDivLoss_log_target (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6231092Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6231702Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6231919Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6232515Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6232730Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6232795Z ok (0.005s) 2022-12-01T10:40:47.6232950Z test_KLDivLoss_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6233118Z test_KLDivLoss_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6233277Z test_KLDivLoss_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6233410Z test_KLDivLoss_log_target_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6233587Z test_KLDivLoss_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6233764Z test_KLDivLoss_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6233938Z test_KLDivLoss_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6234061Z test_KLDivLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6234217Z test_KLDivLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6234422Z test_KLDivLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6234584Z test_KLDivLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6234706Z test_KLDivLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6234868Z test_KLDivLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6235061Z test_KLDivLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6235224Z test_KLDivLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6235343Z test_KLDivLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6235507Z test_KLDivLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6235661Z test_KLDivLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6235823Z test_KLDivLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6235939Z test_KLDivLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6236089Z test_KLDivLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6236217Z test_KLDivLoss_no_reduce_log_target (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6236388Z test_KLDivLoss_no_reduce_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6236509Z test_KLDivLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6236666Z test_KLDivLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6236800Z test_KLDivLoss_no_reduce_scalar_log_target (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6236960Z test_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6237629Z test_KLDivLoss_scalar (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6237845Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6238439Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6238654Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6239235Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6239446Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6239514Z ok (0.005s) 2022-12-01T10:40:47.6239671Z test_KLDivLoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6239829Z test_KLDivLoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6240021Z test_KLDivLoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6240709Z test_KLDivLoss_scalar_log_target (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6240911Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6241527Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6241741Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6241806Z ok (0.005s) 2022-12-01T10:40:47.6241973Z test_KLDivLoss_scalar_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6242141Z test_KLDivLoss_scalar_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6242307Z test_KLDivLoss_scalar_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6242444Z test_KLDivLoss_scalar_log_target_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6242629Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6242811Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6242984Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6243110Z test_KLDivLoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6243280Z test_KLDivLoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6243448Z test_KLDivLoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6243613Z test_KLDivLoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6243734Z test_KLDivLoss_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6243896Z test_KLDivLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6244055Z test_KLDivLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6244213Z test_KLDivLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6244334Z test_KLDivLoss_with_log_target_no_reduce (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6244502Z test_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6244625Z test_KLDivLoss_with_target_no_reduce (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6244787Z test_KLDivLoss_with_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6244883Z test_L1Loss (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6245026Z test_L1Loss_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.005s) 2022-12-01T10:40:47.6245166Z test_L1Loss_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.003s) 2022-12-01T10:40:47.6245309Z test_L1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6245486Z test_L1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6245627Z test_L1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6245741Z test_L1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6245905Z test_L1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6246065Z test_L1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6246223Z test_L1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6246365Z test_L1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6246524Z test_L1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6246680Z test_L1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6246829Z test_L1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6246940Z test_L1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6247211Z test_L1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6247365Z test_L1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6247520Z test_L1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6247633Z test_L1Loss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6247749Z test_L1Loss_no_reduce_complex (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6247903Z test_L1Loss_no_reduce_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6248040Z test_L1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6248157Z test_L1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6248309Z test_L1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6248412Z test_L1Loss_scalar (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6248569Z test_L1Loss_scalar_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6248716Z test_L1Loss_scalar_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6248942Z test_L1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6249102Z test_L1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6249240Z test_L1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6249346Z test_LPPool1d (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6249484Z test_LPPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6249597Z test_LPPool1d_no_batch_dim (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6249749Z test_LPPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6249857Z test_LPPool1d_norm (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6250000Z test_LPPool1d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6250097Z test_LPPool2d (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6250226Z test_LPPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6250329Z test_LPPool2d_norm (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6250470Z test_LPPool2d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6250636Z test_LSTM_cell (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6250948Z test_LSTM_cell_forward_hidden_size (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6826 2022-12-01T10:40:47.6251009Z due to: 2022-12-01T10:40:47.6251097Z Traceback (most recent call last): 2022-12-01T10:40:47.6251253Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6251349Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6251489Z RuntimeError: hidden0 has inconsistent hidden_size: got 21, expected 20 2022-12-01T10:40:47.6251496Z 2022-12-01T10:40:47.6251663Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6251669Z 2022-12-01T10:40:47.6251755Z Traceback (most recent call last): 2022-12-01T10:40:47.6251911Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6252004Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6252112Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6252117Z 2022-12-01T10:40:47.6252184Z from user code: 2022-12-01T10:40:47.6252268Z File "test_nn.py", line 6826, in 2022-12-01T10:40:47.6252393Z self.assertRaises(Exception, lambda: lstm(input, (hx, cx))) 2022-12-01T10:40:47.6252397Z 2022-12-01T10:40:47.6252523Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6252582Z ========== 2022-12-01T10:40:47.6252793Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6827 2022-12-01T10:40:47.6252852Z due to: 2022-12-01T10:40:47.6252940Z Traceback (most recent call last): 2022-12-01T10:40:47.6253096Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6253188Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6253320Z RuntimeError: hidden0 has inconsistent hidden_size: got 21, expected 20 2022-12-01T10:40:47.6253325Z 2022-12-01T10:40:47.6253459Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6253463Z 2022-12-01T10:40:47.6253549Z Traceback (most recent call last): 2022-12-01T10:40:47.6253699Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6253790Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6253894Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6253899Z 2022-12-01T10:40:47.6253965Z from user code: 2022-12-01T10:40:47.6254048Z File "test_nn.py", line 6827, in 2022-12-01T10:40:47.6254174Z self.assertRaises(Exception, lambda: lstm(input, (cx, hx))) 2022-12-01T10:40:47.6254179Z 2022-12-01T10:40:47.6254306Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6254365Z ========== 2022-12-01T10:40:47.6254426Z ok (0.068s) 2022-12-01T10:40:47.6254731Z test_LSTM_cell_forward_input_size (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6819 2022-12-01T10:40:47.6254794Z due to: 2022-12-01T10:40:47.6254871Z Traceback (most recent call last): 2022-12-01T10:40:47.6255025Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6255128Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6255261Z RuntimeError: input has inconsistent input_size: got 11 expected 10 2022-12-01T10:40:47.6255266Z 2022-12-01T10:40:47.6255394Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6255399Z 2022-12-01T10:40:47.6255483Z Traceback (most recent call last): 2022-12-01T10:40:47.6255637Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6255730Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6255834Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6255839Z 2022-12-01T10:40:47.6255895Z from user code: 2022-12-01T10:40:47.6255988Z File "test_nn.py", line 6819, in 2022-12-01T10:40:47.6256147Z self.assertRaises(Exception, lambda: lstm(input, (hx, cx))) 2022-12-01T10:40:47.6256152Z 2022-12-01T10:40:47.6256278Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6256339Z ========== 2022-12-01T10:40:47.6256405Z ok (0.038s) 2022-12-01T10:40:47.6256535Z test_LayerNorm_1d_elementwise_affine (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6256693Z test_LayerNorm_1d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6256828Z test_LayerNorm_1d_elementwise_affine_eval (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6257027Z test_LayerNorm_1d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6257163Z test_LayerNorm_1d_empty_elementwise_affine (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6257337Z test_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6257480Z test_LayerNorm_1d_empty_elementwise_affine_eval (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6257659Z test_LayerNorm_1d_empty_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6257788Z test_LayerNorm_1d_no_elementwise_affine (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6257954Z test_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6258079Z test_LayerNorm_1d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6258254Z test_LayerNorm_1d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6258383Z test_LayerNorm_3d_elementwise_affine (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6258548Z test_LayerNorm_3d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6258681Z test_LayerNorm_3d_elementwise_affine_eval (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6258851Z test_LayerNorm_3d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6258982Z test_LayerNorm_3d_no_affine_large_feature (__main__.TestNN) ... ok (0.615s) 2022-12-01T10:40:47.6259150Z test_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6259276Z test_LayerNorm_3d_no_affine_large_feature_eval (__main__.TestNN) ... ok (0.620s) 2022-12-01T10:40:47.6259447Z test_LayerNorm_3d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6259581Z test_LayerNorm_3d_no_elementwise_affine (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6259747Z test_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6259876Z test_LayerNorm_3d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6260046Z test_LayerNorm_3d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6260148Z test_LeakyReLU (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6260288Z test_LeakyReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6260401Z test_LeakyReLU_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6260545Z test_LeakyReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6260661Z test_LeakyReLU_with_negval (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6260812Z test_LeakyReLU_with_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6260937Z test_LeakyReLU_with_negval_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6261100Z test_LeakyReLU_with_negval_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6261247Z test_LeakyReLU_with_zero_negval (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6261406Z test_LeakyReLU_with_zero_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6261505Z test_Linear (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6261629Z test_Linear_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6261739Z test_Linear_no_batch_dim (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6261887Z test_Linear_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6262018Z test_Linear_no_bias (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6262160Z test_Linear_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6262280Z test_LocalResponseNorm_1d (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6262434Z test_LocalResponseNorm_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6262569Z test_LocalResponseNorm_2d_uneven_pad (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6262728Z test_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6262862Z test_LocalResponseNorm_3d_custom_params (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6263032Z test_LocalResponseNorm_3d_custom_params_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6263134Z test_LogSigmoid (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6263275Z test_LogSigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6263391Z test_LogSigmoid_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6263548Z test_LogSigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6263661Z test_LogSigmoid_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6263800Z test_LogSigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6263901Z test_LogSoftmax (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6264041Z test_LogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6264159Z test_LogSoftmax_multiparam (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6264313Z test_LogSoftmax_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6264439Z test_LogSoftmax_multiparam_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6264602Z test_LogSoftmax_multiparam_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6264719Z test_LogSoftmax_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6264862Z test_LogSoftmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6264964Z test_MSELoss (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6265106Z test_MSELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6265250Z test_MSELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6265393Z test_MSELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6265508Z test_MSELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6265670Z test_MSELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6265831Z test_MSELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6265982Z test_MSELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6266098Z test_MSELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6266292Z test_MSELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6266455Z test_MSELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6266616Z test_MSELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6266735Z test_MSELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6266896Z test_MSELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6267080Z test_MSELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6267248Z test_MSELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6267347Z test_MSELoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6267495Z test_MSELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6267616Z test_MSELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6267774Z test_MSELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6267880Z test_MSELoss_prec (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6268034Z test_MSELoss_prec_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6268188Z test_MSELoss_prec_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6268337Z test_MSELoss_prec_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6268474Z test_MSELoss_prec_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6268583Z test_MSELoss_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6268739Z test_MSELoss_scalar_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6268897Z test_MSELoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6269051Z test_MSELoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6269204Z test_MSELoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6269331Z test_MSELoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6269504Z test_MSELoss_scalar_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6269676Z test_MSELoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6269832Z test_MSELoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6270001Z test_MSELoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6270122Z test_MSELoss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6270286Z test_MSELoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6270446Z test_MSELoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6270606Z test_MSELoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6270725Z test_MarginRankingLoss (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6270892Z test_MarginRankingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6271042Z test_MarginRankingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6271200Z test_MarginRankingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6271358Z test_MarginRankingLoss_margin (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6271527Z test_MarginRankingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6271696Z test_MarginRankingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6271863Z test_MarginRankingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6272007Z test_MarginRankingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6272194Z test_MarginRankingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6272407Z test_MarginRankingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6272578Z test_MarginRankingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6272718Z test_MarginRankingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6272898Z test_MarginRankingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6273074Z test_MarginRankingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6273249Z test_MarginRankingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6273385Z test_MarginRankingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6273567Z test_MarginRankingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6273745Z test_MarginRankingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6273919Z test_MarginRankingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6274044Z test_MarginRankingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6274223Z test_MarginRankingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6274401Z test_MarginRankingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6274574Z test_MarginRankingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6274708Z test_MarginRankingLoss_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6274887Z test_MarginRankingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6275067Z test_MarginRankingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6275242Z test_MarginRankingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6275353Z test_MaxPool1d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6275482Z test_MaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6275607Z test_MaxPool1d_return_indices (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6275766Z test_MaxPool1d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6275879Z test_MaxPool1d_stride (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6276027Z test_MaxPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6276146Z test_MaxPool2d_3d_input (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6276298Z test_MaxPool2d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6276409Z test_MaxPool2d_4d_input (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6276571Z test_MaxPool2d_4d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6276691Z test_MaxPool2d_return_indices (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6276849Z test_MaxPool2d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6276953Z test_MaxPool3d (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6277094Z test_MaxPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6277217Z test_MaxPool3d_return_indices (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6277402Z test_MaxPool3d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6277514Z test_MaxPool3d_stride (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6277648Z test_MaxPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6277769Z test_MaxPool3d_stride_padding (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6277930Z test_MaxPool3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6278041Z test_MaxUnpool1d_net (__main__.TestNN) ... ok (0.071s) 2022-12-01T10:40:47.6278188Z test_MaxUnpool1d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6278314Z test_MaxUnpool1d_net_no_batch_dim (__main__.TestNN) ... ok (0.068s) 2022-12-01T10:40:47.6278476Z test_MaxUnpool1d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6278588Z test_MaxUnpool2d_net (__main__.TestNN) ... ok (0.049s) 2022-12-01T10:40:47.6278724Z test_MaxUnpool2d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6278849Z test_MaxUnpool2d_net_no_batch_dim (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6279013Z test_MaxUnpool2d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6279125Z test_MaxUnpool3d_net (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6279270Z test_MaxUnpool3d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6279394Z test_MaxUnpool3d_net_no_batch_dim (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6279555Z test_MaxUnpool3d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6279652Z test_Mish (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6279774Z test_Mish_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6279884Z test_Mish_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6280032Z test_Mish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6280138Z test_Mish_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6280279Z test_Mish_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6280384Z test_ModuleDict (__main__.TestNN) ... ok (0.663s) 2022-12-01T10:40:47.6280486Z test_ModuleList (__main__.TestNN) ... ok (0.349s) 2022-12-01T10:40:47.6280609Z test_MultiLabelMarginLoss (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6280735Z test_MultiLabelMarginLoss_0d_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-12-01T10:40:47.6280910Z test_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6281035Z test_MultiLabelMarginLoss_1d (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6281209Z test_MultiLabelMarginLoss_1d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6281383Z test_MultiLabelMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6281554Z test_MultiLabelMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6281753Z test_MultiLabelMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6281891Z test_MultiLabelMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6282066Z test_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6282194Z test_MultiLabelMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6282380Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6282593Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6282778Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6282961Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6283132Z test_MultiLabelMarginLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6283297Z test_MultiLabelMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6299255Z test_MultiLabelMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6299506Z test_MultiLabelMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6299640Z test_MultiLabelMarginLoss_index_neg (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6299818Z test_MultiLabelMarginLoss_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6299951Z test_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6300132Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6300317Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6300494Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6300626Z test_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6300800Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6300975Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6301148Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6301280Z test_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6301451Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6301627Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6301799Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6301924Z test_MultiLabelMarginLoss_no_reduce (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6302096Z test_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6302234Z test_MultiLabelMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.016s) 2022-12-01T10:40:47.6302419Z test_MultiLabelMarginLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6302601Z test_MultiLabelMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6302904Z test_MultiLabelMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6303069Z test_MultiLabelMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6303199Z test_MultiLabelSoftMarginLoss (__main__.TestNN) ... ok (0.003s) 2022-12-01T10:40:47.6303374Z test_MultiLabelSoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6303548Z test_MultiLabelSoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6303764Z test_MultiLabelSoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6303916Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6304109Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6304303Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6304493Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6304629Z test_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6304818Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6305008Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6305190Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6305339Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6305530Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6305717Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6305907Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6306048Z test_MultiLabelSoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6306215Z test_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6306359Z test_MultiLabelSoftMarginLoss_weights (__main__.TestNN) ... ok (0.003s) 2022-12-01T10:40:47.6306543Z test_MultiLabelSoftMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6306723Z test_MultiLabelSoftMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6306909Z test_MultiLabelSoftMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6307063Z test_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6307250Z test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6307406Z test_MultiLabelSoftMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.003s) 2022-12-01T10:40:47.6307606Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6307795Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6307990Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6308131Z test_MultiMarginLoss (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6308247Z test_MultiMarginLoss_1d (__main__.TestNN) ... ok (0.002s) 2022-12-01T10:40:47.6308408Z test_MultiMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6308565Z test_MultiMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6308723Z test_MultiMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6308851Z test_MultiMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6309029Z test_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6309163Z test_MultiMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.003s) 2022-12-01T10:40:47.6309337Z test_MultiMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6309513Z test_MultiMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6309689Z test_MultiMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6309849Z test_MultiMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6310004Z test_MultiMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6310158Z test_MultiMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6310277Z test_MultiMarginLoss_margin (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6310431Z test_MultiMarginLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6310590Z test_MultiMarginLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6310757Z test_MultiMarginLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6310889Z test_MultiMarginLoss_margin_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6311056Z test_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6311193Z test_MultiMarginLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6311374Z test_MultiMarginLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6311555Z test_MultiMarginLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6311732Z test_MultiMarginLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6311843Z test_MultiMarginLoss_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6312006Z test_MultiMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6312122Z test_MultiMarginLoss_p (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6312282Z test_MultiMarginLoss_p_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6312436Z test_MultiMarginLoss_p_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6312593Z test_MultiMarginLoss_p_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6312717Z test_MultiMarginLoss_p_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6312881Z test_MultiMarginLoss_p_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6313001Z test_MultiMarginLoss_p_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6313177Z test_MultiMarginLoss_p_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6313379Z test_MultiMarginLoss_p_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6313548Z test_MultiMarginLoss_p_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6313676Z test_MultiMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6313846Z test_MultiMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6314017Z test_MultiMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6314214Z test_MultiMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6314338Z test_MultiMarginLoss_weights (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6314493Z test_MultiMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6314661Z test_MultiMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6314823Z test_MultiMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6314960Z test_MultiMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6315131Z test_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6315266Z test_MultiMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6315447Z test_MultiMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6315629Z test_MultiMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6315806Z test_MultiMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6315896Z test_NLLLoss (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6316011Z test_NLLLoss2d_no_reduce (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6316159Z test_NLLLoss2d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6316288Z test_NLLLoss2d_no_reduce_ignore_index (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6316455Z test_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6316580Z test_NLLLoss2d_no_reduce_weights (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6316741Z test_NLLLoss2d_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6316858Z test_NLLLossNd_no_reduce (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6316998Z test_NLLLossNd_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6317129Z test_NLLLossNd_no_reduce_ignore_index (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6317294Z test_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6317417Z test_NLLLossNd_no_reduce_weights (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6317576Z test_NLLLossNd_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6317678Z test_NLLLoss_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6317826Z test_NLLLoss_2d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6317976Z test_NLLLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6318112Z test_NLLLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6318258Z test_NLLLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6318405Z test_NLLLoss_2d_ignore_index (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6318569Z test_NLLLoss_2d_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6318734Z test_NLLLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6318893Z test_NLLLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6319051Z test_NLLLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6319202Z test_NLLLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6319370Z test_NLLLoss_2d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6319521Z test_NLLLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6319687Z test_NLLLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6319849Z test_NLLLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6319959Z test_NLLLoss_2d_weights (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6320116Z test_NLLLoss_2d_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6320269Z test_NLLLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6320427Z test_NLLLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6320582Z test_NLLLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6320728Z test_NLLLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6320863Z test_NLLLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6321009Z test_NLLLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6321149Z test_NLLLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6321252Z test_NLLLoss_dim_is_3 (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6321407Z test_NLLLoss_dim_is_3_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6321561Z test_NLLLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6321716Z test_NLLLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6323276Z test_NLLLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6323391Z test_NLLLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6323565Z test_NLLLoss_dim_is_3_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6323736Z test_NLLLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6323903Z test_NLLLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6324069Z test_NLLLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6324182Z test_NLLLoss_higher_dim (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6324340Z test_NLLLoss_higher_dim_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6324497Z test_NLLLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6324651Z test_NLLLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6324837Z test_NLLLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6324967Z test_NLLLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6325143Z test_NLLLoss_higher_dim_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6325313Z test_NLLLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6325487Z test_NLLLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6325685Z test_NLLLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6325800Z test_NLLLoss_ignore_index (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6325962Z test_NLLLoss_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6326125Z test_NLLLoss_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6326271Z test_NLLLoss_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6326428Z test_NLLLoss_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6326550Z test_NLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6326713Z test_NLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6326876Z test_NLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6327163Z test_NLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6327284Z test_NLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6327451Z test_NLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6327611Z test_NLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6327760Z test_NLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6327875Z test_NLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6328033Z test_NLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6328192Z test_NLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6328352Z test_NLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6328462Z test_NLLLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6328611Z test_NLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6328739Z test_NLLLoss_no_reduce_ignore_index (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6328986Z test_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6329110Z test_NLLLoss_no_reduce_weights (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6329269Z test_NLLLoss_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6329406Z test_NLLLoss_no_reduce_weights_ignore_index (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6329582Z test_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6329724Z test_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6329899Z test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6330069Z test_NLLLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6330235Z test_NLLLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6330385Z test_NLLLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6330543Z test_NLLLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6330699Z test_NLLLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6330810Z test_NLLLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6330999Z test_NLLLoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6331150Z test_NLLLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6331303Z test_NLLLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6331457Z test_NLLLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6331571Z test_NLLLoss_weights_ignore_index (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6331746Z test_NLLLoss_weights_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6331914Z test_NLLLoss_weights_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6332081Z test_NLLLoss_weights_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6332255Z test_NLLLoss_weights_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6332384Z test_NLLLoss_weights_ignore_index_neg (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6332559Z test_NLLLoss_weights_ignore_index_neg_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6332733Z test_NLLLoss_weights_ignore_index_neg_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6332906Z test_NLLLoss_weights_ignore_index_neg_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6333065Z test_NLLLoss_weights_ignore_index_neg_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6333166Z test_PReLU_1d (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6333304Z test_PReLU_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6333421Z test_PReLU_1d_multiparam (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6333574Z test_PReLU_1d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6333674Z test_PReLU_2d (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6333813Z test_PReLU_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6333927Z test_PReLU_2d_multiparam (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6334068Z test_PReLU_2d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6334165Z test_PReLU_3d (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6334306Z test_PReLU_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6334419Z test_PReLU_3d_multiparam (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6334570Z test_PReLU_3d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6334705Z test_PReLU_backward_requires_grad_false (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6334816Z test_PReLU_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6334963Z test_PReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6335099Z test_PReLU_scalar (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6335244Z test_PReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6335365Z test_Padding122112_3dcircular (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6335524Z test_Padding122112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6335643Z test_Padding1221_2dcircular (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6335796Z test_Padding1221_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6335912Z test_Padding12_1dcircular (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6336089Z test_Padding12_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6336196Z test_Padding2322_2dcircular (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6336352Z test_Padding2322_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6336471Z test_Padding31_1dcircular (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6336624Z test_Padding31_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6336742Z test_Padding322112_3dcircular (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6336898Z test_Padding322112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6337015Z test_Padding332122_3dcircular (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6337171Z test_Padding332122_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6337277Z test_Padding3331_2dcircular (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6337432Z test_Padding3331_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6337546Z test_Padding33_1dcircular (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6337699Z test_Padding33_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6337814Z test_PairwiseDistance (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6337947Z test_PairwiseDistance_broadcast_lhs (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6338119Z test_PairwiseDistance_broadcast_lhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6338248Z test_PairwiseDistance_broadcast_rhs (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6338408Z test_PairwiseDistance_broadcast_rhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6338559Z test_PairwiseDistance_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6338688Z test_PairwiseDistance_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6338855Z test_PairwiseDistance_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6338997Z test_PairwiseDistance_with_non_default_args (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6339172Z test_PairwiseDistance_with_non_default_args_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6339280Z test_ParameterDict (__main__.TestNN) ... ok (1.533s) 2022-12-01T10:40:47.6339405Z test_ParameterDict_replication (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6339510Z test_ParameterList (__main__.TestNN) ... ok (0.356s) 2022-12-01T10:40:47.6339863Z test_ParameterList_meta (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_ParameterList_meta test_nn.py line 1701 2022-12-01T10:40:47.6339931Z due to: 2022-12-01T10:40:47.6340023Z Traceback (most recent call last): 2022-12-01T10:40:47.6340284Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:40:47.6340370Z assert device.type != "meta" 2022-12-01T10:40:47.6340442Z AssertionError 2022-12-01T10:40:47.6340488Z 2022-12-01T10:40:47.6340558Z from user code: 2022-12-01T10:40:47.6340665Z File "test_nn.py", line 1702, in test_ParameterList_meta 2022-12-01T10:40:47.6340840Z p = torch.nn.Parameter(torch.empty(1, device='meta')) 2022-12-01T10:40:47.6340846Z 2022-12-01T10:40:47.6340974Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6341036Z ========== 2022-12-01T10:40:47.6341346Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __iadd__ /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py line 586 2022-12-01T10:40:47.6341408Z due to: 2022-12-01T10:40:47.6341498Z Traceback (most recent call last): 2022-12-01T10:40:47.6341769Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:40:47.6341847Z assert device.type != "meta" 2022-12-01T10:40:47.6341917Z AssertionError 2022-12-01T10:40:47.6341922Z 2022-12-01T10:40:47.6342050Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6342114Z ========== 2022-12-01T10:40:47.6342426Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT extra_repr /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py line 619 2022-12-01T10:40:47.6342489Z due to: 2022-12-01T10:40:47.6342579Z Traceback (most recent call last): 2022-12-01T10:40:47.6342822Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:40:47.6342894Z assert device.type != "meta" 2022-12-01T10:40:47.6342962Z AssertionError 2022-12-01T10:40:47.6342966Z 2022-12-01T10:40:47.6343033Z from user code: 2022-12-01T10:40:47.6343283Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py", line 621, in extra_repr 2022-12-01T10:40:47.6343367Z for k, p in enumerate(self): 2022-12-01T10:40:47.6343372Z 2022-12-01T10:40:47.6343501Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6343562Z ========== 2022-12-01T10:40:47.6343615Z ok (0.070s) 2022-12-01T10:40:47.6343742Z test_ParameterList_replication (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6343850Z test_PixelShuffle (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6343995Z test_PixelShuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6344107Z test_PixelUnshuffle (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6344258Z test_PixelUnshuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6344379Z test_PoissonNLLLoss_full_loss (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6344544Z test_PoissonNLLLoss_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6344701Z test_PoissonNLLLoss_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6344865Z test_PoissonNLLLoss_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6345001Z test_PoissonNLLLoss_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6345183Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6345359Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6345538Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6345669Z test_PoissonNLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6345848Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6346026Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6346186Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s) 2022-12-01T10:40:47.6346345Z test_PoissonNLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6346517Z test_PoissonNLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6346687Z test_PoissonNLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6346858Z test_PoissonNLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6346987Z test_PoissonNLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6347185Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6347357Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6347526Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6347643Z test_PoissonNLLLoss_no_full_loss (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6347810Z test_PoissonNLLLoss_no_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6347976Z test_PoissonNLLLoss_no_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6348141Z test_PoissonNLLLoss_no_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6348280Z test_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6348461Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6348640Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6348818Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6348940Z test_PoissonNLLLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6349089Z test_PoissonNLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6349186Z test_RNN_cell (__main__.TestNN) ... ok (0.020s) 2022-12-01T10:40:47.6349487Z test_RNN_cell_forward_hidden_size (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6557 2022-12-01T10:40:47.6349549Z due to: 2022-12-01T10:40:47.6349645Z Traceback (most recent call last): 2022-12-01T10:40:47.6349805Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6349910Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6350035Z RuntimeError: hidden0 has inconsistent hidden_size: got 21, expected 20 2022-12-01T10:40:47.6350050Z 2022-12-01T10:40:47.6350172Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6350179Z 2022-12-01T10:40:47.6350269Z Traceback (most recent call last): 2022-12-01T10:40:47.6350424Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6350517Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6350623Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6350628Z 2022-12-01T10:40:47.6350695Z from user code: 2022-12-01T10:40:47.6350790Z File "test_nn.py", line 6557, in 2022-12-01T10:40:47.6350912Z self.assertRaises(Exception, lambda: cell(input, hx)) 2022-12-01T10:40:47.6350918Z 2022-12-01T10:40:47.6351038Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6351099Z ========== 2022-12-01T10:40:47.6351164Z ok (0.025s) 2022-12-01T10:40:47.6351464Z test_RNN_cell_forward_input_size (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6548 2022-12-01T10:40:47.6351563Z due to: 2022-12-01T10:40:47.6351650Z Traceback (most recent call last): 2022-12-01T10:40:47.6351805Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6351898Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6352031Z RuntimeError: input has inconsistent input_size: got 11 expected 10 2022-12-01T10:40:47.6352036Z 2022-12-01T10:40:47.6352169Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6352174Z 2022-12-01T10:40:47.6352261Z Traceback (most recent call last): 2022-12-01T10:40:47.6352415Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6352535Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6352643Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6352648Z 2022-12-01T10:40:47.6352714Z from user code: 2022-12-01T10:40:47.6352798Z File "test_nn.py", line 6548, in 2022-12-01T10:40:47.6352923Z self.assertRaises(Exception, lambda: cell(input, hx)) 2022-12-01T10:40:47.6352927Z 2022-12-01T10:40:47.6353054Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6353113Z ========== 2022-12-01T10:40:47.6353177Z ok (0.022s) 2022-12-01T10:40:47.6353307Z test_RNN_cell_forward_zero_hidden_size (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6353606Z test_RNN_cell_no_broadcasting (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6776 2022-12-01T10:40:47.6353669Z due to: 2022-12-01T10:40:47.6353746Z Traceback (most recent call last): 2022-12-01T10:40:47.6353904Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6354010Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6354197Z RuntimeError: Input batch size 3 doesn't match hidden0 batch size 1 2022-12-01T10:40:47.6354202Z 2022-12-01T10:40:47.6354335Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6354342Z 2022-12-01T10:40:47.6354429Z Traceback (most recent call last): 2022-12-01T10:40:47.6354583Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6354675Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6354768Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6354773Z 2022-12-01T10:40:47.6354839Z from user code: 2022-12-01T10:40:47.6354932Z File "test_nn.py", line 6776, in 2022-12-01T10:40:47.6355060Z self.assertRaises(RuntimeError, lambda: cell(input, hx)) 2022-12-01T10:40:47.6355065Z 2022-12-01T10:40:47.6355193Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6355258Z ========== 2022-12-01T10:40:47.6355320Z ok (0.529s) 2022-12-01T10:40:47.6355455Z test_RNN_change_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.002s) 2022-12-01T10:40:47.6355585Z test_RNN_cpu_vs_cudnn_no_dropout (__main__.TestNN) ... skip: needs cudnn (0.000s) 2022-12-01T10:40:47.6355733Z test_RNN_cpu_vs_cudnn_with_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.000s) 2022-12-01T10:40:47.6355862Z test_RNN_cudnn_weight_norm (__main__.TestNN) ... skip: needs cudnn (0.001s) 2022-12-01T10:40:47.6355987Z test_RNN_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.002s) 2022-12-01T10:40:47.6356117Z test_RNN_dropout_state (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.002s) 2022-12-01T10:40:47.6356230Z test_RNN_input_size_zero (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6356341Z test_RNN_nonlinearity (__main__.TestNN) ... ok (0.025s) 2022-12-01T10:40:47.6356425Z test_RReLU (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6356564Z test_RReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6356675Z test_RReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6356823Z test_RReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6356965Z test_RReLU_with_up_down (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6357108Z test_RReLU_with_up_down_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6357226Z test_RReLU_with_up_down_scalar (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6357384Z test_RReLU_with_up_down_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6357469Z test_ReLU (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6357566Z test_ReLU6 (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6357703Z test_ReLU6_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6357842Z test_ReLU6_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6357989Z test_ReLU6_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6358093Z test_ReLU6_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6358234Z test_ReLU6_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6358369Z test_ReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6358468Z test_ReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6358616Z test_ReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6358718Z test_ReLU_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6358859Z test_ReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6358973Z test_ReflectionPad1d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6359095Z test_ReflectionPad1d_batch (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6359253Z test_ReflectionPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6359374Z test_ReflectionPad1d_complex (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6359524Z test_ReflectionPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6359677Z test_ReflectionPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6359790Z test_ReflectionPad2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6359912Z test_ReflectionPad2d_complex (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6360072Z test_ReflectionPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6360220Z test_ReflectionPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6360345Z test_ReflectionPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6360510Z test_ReflectionPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6360610Z test_ReflectionPad3d (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6360729Z test_ReflectionPad3d_complex (__main__.TestNN) ... ok (0.024s) 2022-12-01T10:40:47.6360890Z test_ReflectionPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6361036Z test_ReflectionPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6361162Z test_ReflectionPad3d_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6361324Z test_ReflectionPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6361438Z test_ReplicationPad1d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6361558Z test_ReplicationPad1d_batch (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6361709Z test_ReplicationPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6361833Z test_ReplicationPad1d_complex (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6361997Z test_ReplicationPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6362177Z test_ReplicationPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6362290Z test_ReplicationPad2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6362411Z test_ReplicationPad2d_complex (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6362573Z test_ReplicationPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6362723Z test_ReplicationPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6362852Z test_ReplicationPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6363037Z test_ReplicationPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6363154Z test_ReplicationPad3d (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6363276Z test_ReplicationPad3d_complex (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6363438Z test_ReplicationPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6363590Z test_ReplicationPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6363719Z test_ReplicationPad3d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6363887Z test_ReplicationPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6363980Z test_SELU (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6364101Z test_SELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6364210Z test_SELU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6364357Z test_SELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6364462Z test_SELU_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6364604Z test_SELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6364714Z test_Sequential_add (__main__.TestNN) ... ok (0.186s) 2022-12-01T10:40:47.6364827Z test_Sequential_append (__main__.TestNN) ... ok (0.099s) 2022-12-01T10:40:47.6364929Z test_Sequential_delitem (__main__.TestNN) ... ok (0.048s) 2022-12-01T10:40:47.6365036Z test_Sequential_extend (__main__.TestNN) ... ok (0.044s) 2022-12-01T10:40:47.6365146Z test_Sequential_getitem (__main__.TestNN) ... ok (0.246s) 2022-12-01T10:40:47.6365255Z test_Sequential_iadd (__main__.TestNN) ... ok (0.046s) 2022-12-01T10:40:47.6365362Z test_Sequential_imul (__main__.TestNN) ... ok (0.059s) 2022-12-01T10:40:47.6365476Z test_Sequential_insert (__main__.TestNN) ... ok (0.077s) 2022-12-01T10:40:47.6365599Z test_Sequential_insert_fail_case (__main__.TestNN) ... ok (0.047s) 2022-12-01T10:40:47.6365705Z test_Sequential_mul (__main__.TestNN) ... ok (0.050s) 2022-12-01T10:40:47.6365801Z test_Sequential_pop (__main__.TestNN) ... ok (0.073s) 2022-12-01T10:40:47.6365905Z test_Sequential_rmul (__main__.TestNN) ... ok (0.029s) 2022-12-01T10:40:47.6366018Z test_Sequential_setitem (__main__.TestNN) ... ok (0.075s) 2022-12-01T10:40:47.6366137Z test_Sequential_setitem_named (__main__.TestNN) ... ok (0.051s) 2022-12-01T10:40:47.6366232Z test_SiLU (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6366367Z test_SiLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6366476Z test_SiLU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6366622Z test_SiLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6366713Z test_SiLU_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6366853Z test_SiLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6367061Z test_Sigmoid (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6367200Z test_Sigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6367314Z test_Sigmoid_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6367512Z test_Sigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6367620Z test_Sigmoid_scalar (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6367755Z test_Sigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6367863Z test_SmoothL1Loss (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6367975Z test_SmoothL1Loss_beta (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6368124Z test_SmoothL1Loss_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6368309Z test_SmoothL1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6368461Z test_SmoothL1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6368612Z test_SmoothL1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6368742Z test_SmoothL1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6368991Z test_SmoothL1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6369152Z test_SmoothL1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6369318Z test_SmoothL1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6369444Z test_SmoothL1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6369619Z test_SmoothL1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6369783Z test_SmoothL1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6369944Z test_SmoothL1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6370073Z test_SmoothL1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6370238Z test_SmoothL1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6370403Z test_SmoothL1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6370558Z test_SmoothL1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6370678Z test_SmoothL1Loss_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6370835Z test_SmoothL1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6370963Z test_SmoothL1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6371127Z test_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6371243Z test_SmoothL1Loss_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6371405Z test_SmoothL1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6371566Z test_SmoothL1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6371713Z test_SmoothL1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6371846Z test_SmoothL1Loss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6372019Z test_SmoothL1Loss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6372193Z test_SmoothL1Loss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6372365Z test_SmoothL1Loss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6372486Z test_SmoothL1Loss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6372703Z test_SmoothL1Loss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6372868Z test_SmoothL1Loss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6373031Z test_SmoothL1Loss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6373136Z test_SmoothL1Loss_zero_beta (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6373288Z test_SmoothL1Loss_zero_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6373428Z test_SoftMarginLoss (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6373587Z test_SoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6373741Z test_SoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6373897Z test_SoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6374025Z test_SoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6374199Z test_SoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6374361Z test_SoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6374531Z test_SoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6374661Z test_SoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6374832Z test_SoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6375006Z test_SoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6375180Z test_SoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6375311Z test_SoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6375482Z test_SoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6375651Z test_SoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6375810Z test_SoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6375931Z test_SoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6376089Z test_SoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6376215Z test_SoftMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6376387Z test_SoftMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6376557Z test_SoftMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6376726Z test_SoftMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6376826Z test_Softmax (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6376915Z test_Softmax2d (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6377055Z test_Softmax2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6377171Z test_Softmax2d_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6377328Z test_Softmax2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6377465Z test_Softmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6377577Z test_Softmax_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6377754Z test_Softmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6377863Z test_Softmax_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6377997Z test_Softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6378096Z test_Softmin (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6378235Z test_Softmin_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6378345Z test_Softmin_multidim (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6378519Z test_Softmin_multidim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6378634Z test_Softmin_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6378785Z test_Softmin_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6378891Z test_Softmin_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6379026Z test_Softmin_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6379126Z test_Softplus (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6379231Z test_Softplus_beta (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6379376Z test_Softplus_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6379495Z test_Softplus_beta_threshold (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6379650Z test_Softplus_beta_threshold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6379778Z test_Softplus_beta_threshold_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6379942Z test_Softplus_beta_threshold_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6380071Z test_Softplus_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6380188Z test_Softplus_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6380336Z test_Softplus_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6380438Z test_Softshrink (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6380578Z test_Softshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6380689Z test_Softshrink_lambda (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6380835Z test_Softshrink_lambda_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6380953Z test_Softshrink_lambda_scalar (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6381103Z test_Softshrink_lambda_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6381220Z test_Softshrink_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6381377Z test_Softshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6381478Z test_Softsign (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6381616Z test_Softsign_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6381730Z test_Softsign_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6381879Z test_Softsign_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6381987Z test_Softsign_scalar (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6382123Z test_Softsign_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6382220Z test_Tanh (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6382356Z test_Tanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6382468Z test_Tanh_no_batch_dim (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6382612Z test_Tanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6382743Z test_Tanh_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6382880Z test_Tanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6382982Z test_Tanhshrink (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6383110Z test_Tanhshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6383227Z test_Tanhshrink_no_batch_dim (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6383381Z test_Tanhshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6383490Z test_Tanhshrink_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6383664Z test_Tanhshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6383782Z test_Threshold_large_value (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6383931Z test_Threshold_large_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6384050Z test_Threshold_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6384191Z test_Threshold_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6384339Z test_Threshold_threshold_value (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6384562Z test_Threshold_threshold_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6384693Z test_Threshold_threshold_value_scalar (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6384860Z test_Threshold_threshold_value_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6385013Z test_TransformerDecoderLayer_gelu_activation (__main__.TestNN) ... ok (0.072s) 2022-12-01T10:40:47.6385200Z test_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6385347Z test_TransformerDecoderLayer_relu_activation (__main__.TestNN) ... ok (0.065s) 2022-12-01T10:40:47.6385532Z test_TransformerDecoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6385667Z test_TransformerEncoderLayer_gelu_activation (__main__.TestNN) ... ok (0.037s) 2022-12-01T10:40:47.6385852Z test_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6385997Z test_TransformerEncoderLayer_relu_activation (__main__.TestNN) ... ok (0.145s) 2022-12-01T10:40:47.6386177Z test_TransformerEncoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6386291Z test_Transformer_cell (__main__.TestNN) ... ok (0.589s) 2022-12-01T10:40:47.6386419Z test_Transformer_multilayer_coder (__main__.TestNN) ... ok (0.356s) 2022-12-01T10:40:47.6386582Z test_Transformer_multilayer_coder_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6386721Z test_TripletMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6386892Z test_TripletMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6387068Z test_TripletMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6387242Z test_TripletMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6387375Z test_TripletMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6387557Z test_TripletMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6387734Z test_TripletMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6387908Z test_TripletMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6388077Z test_TripletMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6388252Z test_TripletMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6388415Z test_TripletMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6388590Z test_TripletMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6388706Z test_Unflatten_no_batch_dim (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6388885Z test_Unflatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6388983Z test_Unfold (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6389122Z test_Unfold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6389235Z test_Unfold_int_input (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6389381Z test_Unfold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6389474Z test_ZeroPad2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6389587Z test_ZeroPad2d_complex (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6389737Z test_ZeroPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6389878Z test_ZeroPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6389997Z test_ZeroPad2d_negative_dims (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6390154Z test_ZeroPad2d_negative_dims_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6390274Z test_ZeroPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6390429Z test_ZeroPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6390537Z test_adaptive_log_softmax (__main__.TestNN) ... ok (0.089s) 2022-12-01T10:40:47.6390639Z test_add_module (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6390771Z test_add_module_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6391087Z test_affine_grid (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_affine_grid test_nn.py line 9913 2022-12-01T10:40:47.6391151Z due to: 2022-12-01T10:40:47.6391241Z Traceback (most recent call last): 2022-12-01T10:40:47.6391485Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 4299, in affine_grid 2022-12-01T10:40:47.6391650Z raise ValueError("Expected theta to have floating point type, but got {}".format(theta.dtype)) 2022-12-01T10:40:47.6391781Z ValueError: Expected theta to have floating point type, but got torch.int64 2022-12-01T10:40:47.6391802Z 2022-12-01T10:40:47.6391860Z from user code: 2022-12-01T10:40:47.6391964Z File "test_nn.py", line 9916, in test_affine_grid 2022-12-01T10:40:47.6392098Z output = F.affine_grid(input, torch.Size([1, 1, 2, 2]), align_corners=True) 2022-12-01T10:40:47.6392103Z 2022-12-01T10:40:47.6392235Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6392296Z ========== 2022-12-01T10:40:47.6392360Z ok (0.018s) 2022-12-01T10:40:47.6392655Z test_affine_grid_3d (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_affine_grid_3d test_nn.py line 9961 2022-12-01T10:40:47.6392707Z due to: 2022-12-01T10:40:47.6392795Z Traceback (most recent call last): 2022-12-01T10:40:47.6393030Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 4299, in affine_grid 2022-12-01T10:40:47.6393196Z raise ValueError("Expected theta to have floating point type, but got {}".format(theta.dtype)) 2022-12-01T10:40:47.6393337Z ValueError: Expected theta to have floating point type, but got torch.int64 2022-12-01T10:40:47.6393342Z 2022-12-01T10:40:47.6393439Z from user code: 2022-12-01T10:40:47.6393547Z File "test_nn.py", line 9964, in test_affine_grid_3d 2022-12-01T10:40:47.6393683Z output = F.affine_grid(input, torch.Size([1, 1, 2, 2, 2]), align_corners=True) 2022-12-01T10:40:47.6393688Z 2022-12-01T10:40:47.6393806Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6393867Z ========== 2022-12-01T10:40:47.6393928Z ok (0.019s) 2022-12-01T10:40:47.6394051Z test_affine_grid_error_checking (__main__.TestNN) ... ok (0.083s) 2022-12-01T10:40:47.6394154Z test_assignment (__main__.TestNN) ... ok (0.404s) 2022-12-01T10:40:47.6394302Z test_batchnorm_buffer_update_when_stats_are_not_tracked (__main__.TestNN) ... ok (0.056s) 2022-12-01T10:40:47.6394469Z test_batchnorm_cudnn_half (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:40:47.6394611Z test_batchnorm_cudnn_nhwc (__main__.TestNN) ... skip: CUDA unavailable (0.002s) 2022-12-01T10:40:47.6394910Z test_batchnorm_nhwc_cpu (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 8790 2022-12-01T10:40:47.6394995Z due to: 2022-12-01T10:40:47.6395133Z Traceback (most recent call last): 2022-12-01T10:40:47.6395364Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:40:47.6395486Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:40:47.6395667Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:40:47.6395673Z 2022-12-01T10:40:47.6395742Z from user code: 2022-12-01T10:40:47.6395913Z File "test_nn.py", line 8790, in 2022-12-01T10:40:47.6395988Z ref_out.backward(ref_grad) 2022-12-01T10:40:47.6395993Z 2022-12-01T10:40:47.6396124Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6396185Z ========== 2022-12-01T10:40:47.6396249Z ok (0.816s) 2022-12-01T10:40:47.6396392Z test_batchnorm_nhwc_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6396750Z test_batchnorm_non_contig_cpu (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 8815 2022-12-01T10:40:47.6396815Z due to: 2022-12-01T10:40:47.6396893Z Traceback (most recent call last): 2022-12-01T10:40:47.6397054Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:40:47.6397169Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:40:47.6397289Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:40:47.6397294Z 2022-12-01T10:40:47.6397363Z from user code: 2022-12-01T10:40:47.6397502Z File "test_nn.py", line 8820, in 2022-12-01T10:40:47.6397642Z self.assertTrue(out.is_contiguous(memory_format=torch.channels_last)) 2022-12-01T10:40:47.6397647Z 2022-12-01T10:40:47.6397774Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6397826Z ========== 2022-12-01T10:40:47.6397890Z ok (0.141s) 2022-12-01T10:40:47.6398051Z test_batchnorm_nonaffine_cuda_half_input (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:40:47.6398206Z test_batchnorm_raises_error_if_bias_is_not_same_size_as_input (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6398363Z test_batchnorm_raises_error_if_less_than_one_value_per_channel (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6398526Z test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6398685Z test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6399182Z test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 8946 2022-12-01T10:40:47.6399284Z due to: 2022-12-01T10:40:47.6399363Z Traceback (most recent call last): 2022-12-01T10:40:47.6399515Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6399766Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6400048Z AssertionError: torch.* op returned non-Tensor dual_level call_function 2022-12-01T10:40:47.6400054Z 2022-12-01T10:40:47.6400123Z from user code: 2022-12-01T10:40:47.6400311Z File "test_nn.py", line 8951, in 2022-12-01T10:40:47.6400421Z with fwAD.dual_level(): 2022-12-01T10:40:47.6400426Z 2022-12-01T10:40:47.6400554Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6400605Z ========== 2022-12-01T10:40:47.6400674Z ok (0.031s) 2022-12-01T10:40:47.6400833Z test_batchnorm_raises_error_if_weight_is_not_same_size_as_input (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6400960Z test_bce_loss_always_nonnegative (__main__.TestNN) ... ok (0.033s) 2022-12-01T10:40:47.6401083Z test_bce_loss_broadcasts_weights (__main__.TestNN) ... ok (0.076s) 2022-12-01T10:40:47.6401198Z test_bce_loss_input_range (__main__.TestNN) ... ok (0.028s) 2022-12-01T10:40:47.6401314Z test_bce_loss_size_mismatch (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6401452Z test_bce_with_logits_broadcasts_pos_weights (__main__.TestNN) ... ok (0.048s) 2022-12-01T10:40:47.6401572Z test_bce_with_logits_broadcasts_weights (__main__.TestNN) ... ok (0.062s) 2022-12-01T10:40:47.6401728Z test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss (__main__.TestNN) ... ok (0.323s) 2022-12-01T10:40:47.6401907Z test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad (__main__.TestNN) ... ok (0.040s) 2022-12-01T10:40:47.6402253Z test_bce_with_logits_has_correct_forward_grad (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT > test_nn.py line 8650 2022-12-01T10:40:47.6402319Z due to: 2022-12-01T10:40:47.6402411Z Traceback (most recent call last): 2022-12-01T10:40:47.6402660Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/graph_module.py", line 71, in _exec_with_source 2022-12-01T10:40:47.6402804Z exec(compile(src, key, 'exec'), globals) 2022-12-01T10:40:47.6402879Z File ".538", line 4 2022-12-01T10:40:47.6403057Z SyntaxError: duplicate argument 'self' in function definition 2022-12-01T10:40:47.6403063Z 2022-12-01T10:40:47.6403129Z from user code: 2022-12-01T10:40:47.6403245Z File "test_nn.py", line 8650, in > 2022-12-01T10:40:47.6403409Z gradcheck(lambda self, target: nn.BCEWithLogitsLoss(reduction=reduction)(self, target), 2022-12-01T10:40:47.6403415Z 2022-12-01T10:40:47.6403544Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6403605Z ========== 2022-12-01T10:40:47.6403674Z ok (0.038s) 2022-12-01T10:40:47.6403798Z test_bce_with_logits_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6403951Z test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none (__main__.TestNN) ... ok (0.027s) 2022-12-01T10:40:47.6404111Z test_bce_with_logits_raises_if_target_and_input_are_different_size (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6404229Z test_bce_with_logits_stability (__main__.TestNN) ... ok (0.048s) 2022-12-01T10:40:47.6404385Z test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.025s) 2022-12-01T10:40:47.6404487Z test_bilinear (__main__.TestNN) ... ok (0.060s) 2022-12-01T10:40:47.6404606Z test_bilinear_broadcasting (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6404715Z test_bilinear_no_bias (__main__.TestNN) ... ok (0.185s) 2022-12-01T10:40:47.6404822Z test_bilinear_non_contiguous (__main__.TestNN) ... ok (0.114s) 2022-12-01T10:40:47.6405063Z test_broadcast_double_backwards_gpu (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-12-01T10:40:47.6405305Z test_broadcast_no_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-12-01T10:40:47.6405536Z test_broadcast_not_requiring_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-12-01T10:40:47.6405655Z test_buffer_not_persistent (__main__.TestNN) ... ok (0.034s) 2022-12-01T10:40:47.6405779Z test_buffer_not_persistent_assign (__main__.TestNN) ... ok (0.124s) 2022-12-01T10:40:47.6405898Z test_buffer_not_persistent_del (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6406020Z test_buffer_not_persistent_load (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6406197Z test_buffer_not_persistent_overwrite (__main__.TestNN) ... ok (0.091s) 2022-12-01T10:40:47.6406318Z test_buffers_and_named_buffers (__main__.TestNN) ... ok (0.050s) 2022-12-01T10:40:47.6406426Z test_caching_parametrization (__main__.TestNN) 2022-12-01T10:40:47.6406725Z Test the caching system of a parametrization ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 3053 2022-12-01T10:40:47.6406789Z due to: 2022-12-01T10:40:47.6406879Z Traceback (most recent call last): 2022-12-01T10:40:47.6407162Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:40:47.6407254Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:40:47.6407372Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:40:47.6407377Z 2022-12-01T10:40:47.6407445Z from user code: 2022-12-01T10:40:47.6407542Z File "test_nn.py", line 3055, in forward 2022-12-01T10:40:47.6407644Z return X - X.T 2022-12-01T10:40:47.6407652Z 2022-12-01T10:40:47.6407783Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6407844Z ========== 2022-12-01T10:40:47.6407909Z ok (0.017s) 2022-12-01T10:40:47.6408059Z test_caching_parametrization_with_transfer_parametrizations_and_params (__main__.TestNN) 2022-12-01T10:40:47.6408403Z Test that transferring parametrizations doesn't cause issues with caching ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 3078 2022-12-01T10:40:47.6408465Z due to: 2022-12-01T10:40:47.6408555Z Traceback (most recent call last): 2022-12-01T10:40:47.6408716Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:40:47.6408815Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:40:47.6409002Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:40:47.6409008Z 2022-12-01T10:40:47.6409077Z from user code: 2022-12-01T10:40:47.6409160Z File "test_nn.py", line 3080, in forward 2022-12-01T10:40:47.6409261Z return X - X.T 2022-12-01T10:40:47.6409267Z 2022-12-01T10:40:47.6409400Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6409460Z ========== 2022-12-01T10:40:47.6409523Z ok (0.018s) 2022-12-01T10:40:47.6410258Z test_call_supports_python_dict_output (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1078: UserWarning: Using non-full backward hooks on a Module that does not return a single Tensor or a tuple of Tensors is deprecated and will be removed in future versions. This hook will be missing some of the grad_output. Please use register_full_backward_hook to get the documented behavior. 2022-12-01T10:40:47.6410476Z warnings.warn("Using non-full backward hooks on a Module that does not return a " 2022-12-01T10:40:47.6410540Z ok (0.016s) 2022-12-01T10:40:47.6410638Z test_channel_shuffle (__main__.TestNN) ... ok (0.079s) 2022-12-01T10:40:47.6410763Z test_channel_shuffle_return_self (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6410864Z test_children (__main__.TestNN) ... ok (0.046s) 2022-12-01T10:40:47.6411184Z test_clip_grad_norm (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 2209 2022-12-01T10:40:47.6411316Z due to: 2022-12-01T10:40:47.6411411Z Traceback (most recent call last): 2022-12-01T10:40:47.6411564Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:40:47.6411651Z return n.meta["example_value"] 2022-12-01T10:40:47.6411752Z KeyError: 'example_value' 2022-12-01T10:40:47.6411757Z 2022-12-01T10:40:47.6411824Z from user code: 2022-12-01T10:40:47.6411949Z File "test_nn.py", line 2231, in 2022-12-01T10:40:47.6412041Z p._grad = g.clone().view_as(p.data) 2022-12-01T10:40:47.6412046Z 2022-12-01T10:40:47.6412175Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6412236Z ========== 2022-12-01T10:40:47.6412334Z ok (0.162s) 2022-12-01T10:40:47.6412643Z test_clip_grad_value (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 2265 2022-12-01T10:40:47.6412706Z due to: 2022-12-01T10:40:47.6412793Z Traceback (most recent call last): 2022-12-01T10:40:47.6413009Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6413103Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6413306Z RuntimeError: result type Double can't be cast to the desired output type Long 2022-12-01T10:40:47.6413312Z 2022-12-01T10:40:47.6413445Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6413451Z 2022-12-01T10:40:47.6413539Z Traceback (most recent call last): 2022-12-01T10:40:47.6413691Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6413774Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6413883Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6413888Z 2022-12-01T10:40:47.6413954Z from user code: 2022-12-01T10:40:47.6414084Z File "test_nn.py", line 2268, in 2022-12-01T10:40:47.6414293Z grad_w, grad_b = torch.arange(-50., 50).view(10, 10).div_(5), torch.ones(10).mul_(2) 2022-12-01T10:40:47.6414300Z 2022-12-01T10:40:47.6414430Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6414491Z ========== 2022-12-01T10:40:47.6414544Z ok (0.046s) 2022-12-01T10:40:47.6414650Z test_compute_nparams_to_prune (__main__.TestNN) 2022-12-01T10:40:47.6414999Z Test that requested pruning `amount` gets translated into the ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_compute_nparams_to_prune test_nn.py line 3440 2022-12-01T10:40:47.6415062Z due to: 2022-12-01T10:40:47.6415151Z Traceback (most recent call last): 2022-12-01T10:40:47.6415309Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6415558Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6415834Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:40:47.6415840Z 2022-12-01T10:40:47.6415907Z from user code: 2022-12-01T10:40:47.6416018Z File "test_nn.py", line 3446, in test_compute_nparams_to_prune 2022-12-01T10:40:47.6416140Z prune._compute_nparams_toprune(amount=0, tensor_size=15), 2022-12-01T10:40:47.6416145Z 2022-12-01T10:40:47.6416272Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6416333Z ========== 2022-12-01T10:40:47.6416397Z ok (0.003s) 2022-12-01T10:40:47.6416504Z test_container_copy (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6416630Z test_conv2d_discontiguous_weight (__main__.TestNN) ... ok (0.046s) 2022-12-01T10:40:47.6416727Z test_conv_backcompat (__main__.TestNN) ... ok (0.121s) 2022-12-01T10:40:47.6416884Z test_conv_cudnn_memory_layout_dominance (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:40:47.6417001Z test_conv_invalid_groups (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6417333Z test_conv_modules_raise_error_on_incorrect_input_size (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6285 2022-12-01T10:40:47.6417426Z due to: 2022-12-01T10:40:47.6417517Z Traceback (most recent call last): 2022-12-01T10:40:47.6417674Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6417777Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6417928Z RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [3] 2022-12-01T10:40:47.6417934Z 2022-12-01T10:40:47.6418067Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6418072Z 2022-12-01T10:40:47.6418190Z Traceback (most recent call last): 2022-12-01T10:40:47.6418344Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6418438Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6418544Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6418551Z 2022-12-01T10:40:47.6418619Z from user code: 2022-12-01T10:40:47.6418716Z File "test_nn.py", line 6285, in 2022-12-01T10:40:47.6418830Z self.assertRaises(RuntimeError, lambda: module(input)) 2022-12-01T10:40:47.6418835Z 2022-12-01T10:40:47.6418961Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6419022Z ========== 2022-12-01T10:40:47.6419085Z ok (0.122s) 2022-12-01T10:40:47.6419198Z test_conv_padding_mode (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6420005Z test_conv_shapecheck (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6420162Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6420228Z ok (0.355s) 2022-12-01T10:40:47.6420328Z test_conv_tbc (__main__.TestNN) ... ok (0.027s) 2022-12-01T10:40:47.6420458Z test_convert_sync_batchnorm (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6420591Z test_cosine_embedding_loss_invalid_shape (__main__.TestNN) ... ok (0.022s) 2022-12-01T10:40:47.6420725Z test_cosine_embedding_loss_margin_no_reduce (__main__.TestNN) ... ok (0.061s) 2022-12-01T10:40:47.6420851Z test_cosine_embedding_loss_no_reduce (__main__.TestNN) ... ok (0.060s) 2022-12-01T10:40:47.6420983Z test_cosine_embedding_loss_with_diff_type (__main__.TestNN) ... ok (0.069s) 2022-12-01T10:40:47.6421098Z test_cosine_similarity (__main__.TestNN) ... ok (0.488s) 2022-12-01T10:40:47.6421210Z test_cross_entropy_loss (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6421334Z test_cross_entropy_loss_precision (__main__.TestNN) ... ok (3.003s) 2022-12-01T10:40:47.6421449Z test_cross_entropy_loss_zero_div (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6421589Z test_cudnn_non_contiguous (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6421738Z test_cudnn_noncontiguous_weight (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:40:47.6421990Z test_cudnn_rnn_dropout_states_device (__main__.TestNN) ... skip: CUDNN or multi-gpu not available (0.001s) 2022-12-01T10:40:47.6422131Z test_cudnn_weight_format (__main__.TestNN) ... skip: CUDNN not available (0.002s) 2022-12-01T10:40:47.6422269Z test_cudnn_weight_tying (__main__.TestNN) ... skip: CUDNN not available (0.002s) 2022-12-01T10:40:47.6422375Z test_custom_from_mask_pruning (__main__.TestNN) 2022-12-01T10:40:47.6422715Z Test that the CustomFromMask is capable of receiving ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_custom_from_mask_pruning test_nn.py line 4091 2022-12-01T10:40:47.6422766Z due to: 2022-12-01T10:40:47.6422858Z Traceback (most recent call last): 2022-12-01T10:40:47.6423041Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6423288Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6423591Z AssertionError: torch.* op returned non-Tensor CustomFromMask call_function 2022-12-01T10:40:47.6423597Z 2022-12-01T10:40:47.6423666Z from user code: 2022-12-01T10:40:47.6423784Z File "test_nn.py", line 4104, in test_custom_from_mask_pruning 2022-12-01T10:40:47.6423882Z p = prune.CustomFromMask(mask=mask) 2022-12-01T10:40:47.6423887Z 2022-12-01T10:40:47.6424031Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6424093Z ========== 2022-12-01T10:40:47.6424159Z ok (0.007s) 2022-12-01T10:40:47.6424276Z test_deepcopy_after_parametrization (__main__.TestNN) 2022-12-01T10:40:47.6424633Z Test that we are able to create a deepcopy of the module when it's parametrized. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __deepcopy__ test_nn.py line 3154 2022-12-01T10:40:47.6424696Z due to: 2022-12-01T10:40:47.6424786Z Traceback (most recent call last): 2022-12-01T10:40:47.6424950Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:40:47.6425054Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:40:47.6425259Z AttributeError: 'builtin_function_or_method' object has no attribute '__code__' 2022-12-01T10:40:47.6425265Z 2022-12-01T10:40:47.6425332Z from user code: 2022-12-01T10:40:47.6425433Z File "test_nn.py", line 3155, in __deepcopy__ 2022-12-01T10:40:47.6425528Z result = self.__new__(self.__class__) 2022-12-01T10:40:47.6425532Z 2022-12-01T10:40:47.6425659Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6425717Z ========== 2022-12-01T10:40:47.6425770Z ok (0.180s) 2022-12-01T10:40:47.6425864Z test_dir (__main__.TestNN) ... ok (0.065s) 2022-12-01T10:40:47.6425968Z test_dir_digit (__main__.TestNN) ... ok (1.104s) 2022-12-01T10:40:47.6426088Z test_elu_inplace_gradgrad (__main__.TestNN) ... ok (0.030s) 2022-12-01T10:40:47.6426198Z test_elu_inplace_on_view (__main__.TestNN) ... ok (0.034s) 2022-12-01T10:40:47.6426314Z test_error_RNN_seq_len_zero (__main__.TestNN) ... ok (0.035s) 2022-12-01T10:40:47.6426460Z test_errors_parametrized_tensor_parametrization (__main__.TestNN) ... ok (0.034s) 2022-12-01T10:40:47.6426609Z test_errors_unparametrized_tensor_parametrization (__main__.TestNN) ... ok (0.081s) 2022-12-01T10:40:47.6426702Z test_extra_state (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6426834Z test_extra_state_missing_get_extra_state (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6426960Z test_extra_state_missing_set_extra_state (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6427071Z test_extra_state_non_dict (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6427404Z test_fb_fc_packed (__main__.TestNN) ... test_nn.py:5153: UserWarning: fbgemm_pack_gemm_matrix_fp16 is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:374.) 2022-12-01T10:40:47.6427531Z packed_w_tensor = torch.fbgemm_pack_gemm_matrix_fp16(w_tensor) 2022-12-01T10:40:47.6427843Z test_nn.py:5154: UserWarning: fbgemm_linear_fp16_weight_fp32_activation is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:409.) 2022-12-01T10:40:47.6427994Z actual_output = torch.fbgemm_linear_fp16_weight(x_tensor, packed_w_tensor, b_tensor) 2022-12-01T10:40:47.6428060Z ok (0.015s) 2022-12-01T10:40:47.6428148Z test_flatten (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6428256Z test_fold_invalid_arg (__main__.TestNN) ... ok (0.047s) 2022-12-01T10:40:47.6428369Z test_functional_grad_conv (__main__.TestNN) ... ok (0.197s) 2022-12-01T10:40:47.6428516Z test_functional_grad_conv2d (__main__.TestNN) ... ok (0.597s) 2022-12-01T10:40:47.6428629Z test_gaussian_nll_loss_args (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6428757Z test_gaussian_nll_loss_broadcasting (__main__.TestNN) ... ok (0.120s) 2022-12-01T10:40:47.6428887Z test_gaussian_nll_loss_reduction_modes (__main__.TestNN) ... ok (0.081s) 2022-12-01T10:40:47.6428976Z test_get_buffer (__main__.TestNN) ... ok (0.040s) 2022-12-01T10:40:47.6429096Z test_get_buffer_from_submodules (__main__.TestNN) ... ok (0.017s) 2022-12-01T10:40:47.6429399Z test_getattr_with_property (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT some_property test_nn.py line 1246 2022-12-01T10:40:47.6429494Z due to: 2022-12-01T10:40:47.6429585Z Traceback (most recent call last): 2022-12-01T10:40:47.6429753Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 303, in var_getattr 2022-12-01T10:40:47.6429845Z if isinstance(subobj, property): 2022-12-01T10:40:47.6430047Z UnboundLocalError: local variable 'subobj' referenced before assignment 2022-12-01T10:40:47.6430053Z 2022-12-01T10:40:47.6430111Z from user code: 2022-12-01T10:40:47.6430214Z File "test_nn.py", line 1248, in some_property 2022-12-01T10:40:47.6430315Z return self.something_that_doesnt_exist 2022-12-01T10:40:47.6430320Z 2022-12-01T10:40:47.6430447Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6430507Z ========== 2022-12-01T10:40:47.6430586Z expected failure (0.083s) 2022-12-01T10:40:47.6430678Z test_global_pruning (__main__.TestNN) 2022-12-01T10:40:47.6430825Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.055s) 2022-12-01T10:40:47.6430933Z test_global_pruning_importance_scores (__main__.TestNN) 2022-12-01T10:40:47.6431330Z Test that global l1 unstructured pruning over 2 parameters removes ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 4052 2022-12-01T10:40:47.6431395Z due to: 2022-12-01T10:40:47.6431485Z Traceback (most recent call last): 2022-12-01T10:40:47.6431647Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 859, in BUILD_MAP 2022-12-01T10:40:47.6431779Z isinstance(k, TensorVariable) and k.parameter_value is not None 2022-12-01T10:40:47.6431850Z AssertionError 2022-12-01T10:40:47.6431855Z 2022-12-01T10:40:47.6431923Z from user code: 2022-12-01T10:40:47.6432060Z File "test_nn.py", line 4073, in 2022-12-01T10:40:47.6432191Z (n, 'weight'): n_importance_scores, 2022-12-01T10:40:47.6432196Z 2022-12-01T10:40:47.6432326Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6432389Z ========== 2022-12-01T10:40:47.6432453Z ok (0.029s) 2022-12-01T10:40:47.6432564Z test_grad_conv1d_input (__main__.TestNN) ... ok (0.062s) 2022-12-01T10:40:47.6432675Z test_grad_conv1d_weight (__main__.TestNN) ... ok (0.033s) 2022-12-01T10:40:47.6432774Z test_grad_conv2d_input (__main__.TestNN) ... ok (0.038s) 2022-12-01T10:40:47.6432883Z test_grad_conv2d_weight (__main__.TestNN) ... ok (0.037s) 2022-12-01T10:40:47.6432989Z test_grad_conv3d_input (__main__.TestNN) ... ok (0.056s) 2022-12-01T10:40:47.6433095Z test_grad_conv3d_weight (__main__.TestNN) ... ok (0.052s) 2022-12-01T10:40:47.6433199Z test_grid_sample (__main__.TestNN) ... ok (1.315s) 2022-12-01T10:40:47.6433498Z test_grid_sample_3d (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_grid_sample_3d test_nn.py line 9785 2022-12-01T10:40:47.6433559Z due to: 2022-12-01T10:40:47.6433650Z Traceback (most recent call last): 2022-12-01T10:40:47.6433801Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6433906Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6434270Z TypeError: randn() received an invalid combination of arguments - got (FakeTensor, FakeTensor, FakeTensor, FakeTensor, FakeTensor, requires_grad=bool), but expected one of: 2022-12-01T10:40:47.6434546Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6434779Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6434981Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6435217Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6435223Z 2022-12-01T10:40:47.6435227Z 2022-12-01T10:40:47.6435297Z from user code: 2022-12-01T10:40:47.6435407Z File "test_nn.py", line 9898, in test_grid_sample_3d 2022-12-01T10:40:47.6435512Z input = torch.randn(N, C, D, H, W, requires_grad=True) 2022-12-01T10:40:47.6435528Z 2022-12-01T10:40:47.6435645Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6435706Z ========== 2022-12-01T10:40:47.6435769Z ok (0.601s) 2022-12-01T10:40:47.6436391Z test_grid_sample_error_checking (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4228: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. 2022-12-01T10:40:47.6436518Z "Default grid_sample and affine_grid behavior has changed " 2022-12-01T10:40:47.6436585Z ok (0.063s) 2022-12-01T10:40:47.6436738Z test_grouped_conv_cudnn_nhwc_support (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:40:47.6436854Z test_hardtanh_backward (__main__.TestNN) ... ok (0.127s) 2022-12-01T10:40:47.6436965Z test_hardtanh_inplace_gradgrad (__main__.TestNN) ... ok (0.031s) 2022-12-01T10:40:47.6437077Z test_hook_backward_size (__main__.TestNN) ... ok (0.054s) 2022-12-01T10:40:47.6437245Z test_hook_backward_writeable (__main__.TestNN) ... skip: TorchDynamo does not work well with hooks (0.002s) 2022-12-01T10:40:47.6437348Z test_hook_cpp (__main__.TestNN) ... ok (0.039s) 2022-12-01T10:40:47.6437458Z test_hook_extra_input (__main__.TestNN) ... ok (0.031s) 2022-12-01T10:40:47.6437639Z test_hook_forward_preforward_writable (__main__.TestNN) ... skip: TorchDynamo does not work well with hooks (0.002s) 2022-12-01T10:40:47.6437917Z test_hook_inplace (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 439 2022-12-01T10:40:47.6437977Z due to: 2022-12-01T10:40:47.6438056Z Traceback (most recent call last): 2022-12-01T10:40:47.6438210Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6438314Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6438544Z RuntimeError: a leaf Variable that requires grad is being used in an in-place operation. 2022-12-01T10:40:47.6438550Z 2022-12-01T10:40:47.6438683Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6438688Z 2022-12-01T10:40:47.6438777Z Traceback (most recent call last): 2022-12-01T10:40:47.6438932Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6439025Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6439119Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6439124Z 2022-12-01T10:40:47.6439193Z from user code: 2022-12-01T10:40:47.6439287Z File "test_nn.py", line 442, in forward 2022-12-01T10:40:47.6439349Z inp += 1 2022-12-01T10:40:47.6439354Z 2022-12-01T10:40:47.6439482Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6439542Z ========== 2022-12-01T10:40:47.6439607Z ok (0.028s) 2022-12-01T10:40:47.6440312Z test_hook_invalid_outputs (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1113: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-12-01T10:40:47.6440557Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-12-01T10:40:47.6441177Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1113: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-12-01T10:40:47.6441421Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-12-01T10:40:47.6441487Z ok (0.037s) 2022-12-01T10:40:47.6441612Z test_hook_last_arg_requires_grad (__main__.TestNN) ... ok (0.031s) 2022-12-01T10:40:47.6441780Z test_hook_no_requires_grad (__main__.TestNN) ... skip: TorchDynamo does not work well with hooks (0.002s) 2022-12-01T10:40:47.6441894Z test_hook_non_full_warning (__main__.TestNN) ... ok (0.053s) 2022-12-01T10:40:47.6442010Z test_hook_requires_grad (__main__.TestNN) ... ok (0.028s) 2022-12-01T10:40:47.6442156Z test_hooks (__main__.TestNN) ... skip: TorchDynamo does not work well with hooks (0.001s) 2022-12-01T10:40:47.6442275Z test_huber_loss_invalid_delta (__main__.TestNN) ... ok (0.071s) 2022-12-01T10:40:47.6442360Z test_identity_pruning (__main__.TestNN) 2022-12-01T10:40:47.6442495Z Test that a mask of 1s does not change forward or backward. ... ok (0.124s) 2022-12-01T10:40:47.6442614Z test_initialization_parametrization (__main__.TestNN) 2022-12-01T10:40:47.6442935Z Test that it is possible to initialize a parametrization when it ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 2665 2022-12-01T10:40:47.6443001Z due to: 2022-12-01T10:40:47.6443093Z Traceback (most recent call last): 2022-12-01T10:40:47.6443255Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:40:47.6443345Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:40:47.6443464Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:40:47.6443469Z 2022-12-01T10:40:47.6443537Z from user code: 2022-12-01T10:40:47.6443634Z File "test_nn.py", line 2667, in forward 2022-12-01T10:40:47.6443730Z return A - A.T 2022-12-01T10:40:47.6443735Z 2022-12-01T10:40:47.6443867Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6443928Z ========== 2022-12-01T10:40:47.6443991Z ok (0.087s) 2022-12-01T10:40:47.6444085Z test_inplace_thnn (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6444190Z test_interpolate (__main__.TestNN) ... ok (1.072s) 2022-12-01T10:40:47.6444309Z test_interpolate_bicubic_2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6444469Z test_interpolate_bicubic_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6444596Z test_interpolate_bicubic_2d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6444760Z test_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6444886Z test_interpolate_bicubic_scale_2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6445048Z test_interpolate_bicubic_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6445179Z test_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6445358Z test_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6445496Z test_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6445687Z test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6445881Z test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6446055Z test_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6446179Z test_interpolate_bicubic_tuple_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6446319Z test_interpolate_bicubic_tuple_2d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6446605Z test_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6446786Z test_interpolate_bicubic_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6446907Z test_interpolate_bilinear_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6447184Z test_interpolate_bilinear_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6447315Z test_interpolate_bilinear_2d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6447482Z test_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6447614Z test_interpolate_bilinear_scale_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6447779Z test_interpolate_bilinear_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6447920Z test_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6448089Z test_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6448229Z test_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6448384Z test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6448579Z test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6448758Z test_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6448960Z test_interpolate_bilinear_tuple_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6449106Z test_interpolate_bilinear_tuple_2d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6449287Z test_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6449450Z test_interpolate_bilinear_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6449595Z test_interpolate_illegal_memory_access (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:40:47.6449713Z test_interpolate_linear_1d (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6449848Z test_interpolate_linear_1d_align_corners (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6450018Z test_interpolate_linear_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6450173Z test_interpolate_linear_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6450295Z test_interpolate_linear_1d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6450457Z test_interpolate_linear_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6450583Z test_interpolate_linear_scale_1d (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6450712Z test_interpolate_linear_scale_1d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6450889Z test_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6451119Z test_interpolate_linear_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6451244Z test_interpolate_linear_tuple_1d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6451401Z test_interpolate_linear_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6451518Z test_interpolate_nearest_1d (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6451674Z test_interpolate_nearest_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6451804Z test_interpolate_nearest_1d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6451991Z test_interpolate_nearest_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6452111Z test_interpolate_nearest_2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6452264Z test_interpolate_nearest_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6452402Z test_interpolate_nearest_2d_launch_configs (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6452575Z test_interpolate_nearest_2d_launch_configs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6452699Z test_interpolate_nearest_2d_zero_dim (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6452864Z test_interpolate_nearest_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6452983Z test_interpolate_nearest_3d (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6453137Z test_interpolate_nearest_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6453253Z test_interpolate_nearest_3d_zero_dim (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6453418Z test_interpolate_nearest_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6453541Z test_interpolate_nearest_scale_1d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6453705Z test_interpolate_nearest_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6453830Z test_interpolate_nearest_scale_2d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6453993Z test_interpolate_nearest_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6454116Z test_interpolate_nearest_scale_3d (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6454278Z test_interpolate_nearest_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6454390Z test_interpolate_nearest_tuple_1d (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6454551Z test_interpolate_nearest_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6454675Z test_interpolate_nearest_tuple_2d (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6454835Z test_interpolate_nearest_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6454959Z test_interpolate_nearest_tuple_3d (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6455120Z test_interpolate_nearest_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6455241Z test_interpolate_trilinear_3d (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6455397Z test_interpolate_trilinear_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6455514Z test_interpolate_trilinear_3d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-12-01T10:40:47.6455685Z test_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6455811Z test_interpolate_trilinear_scale_3d (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6455952Z test_interpolate_trilinear_scale_3d_align_corners (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6456131Z test_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6456326Z test_interpolate_trilinear_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6456454Z test_interpolate_trilinear_tuple_3d (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6456598Z test_interpolate_trilinear_tuple_3d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6456779Z test_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6456959Z test_interpolate_trilinear_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6457925Z test_invalid_conv1d (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6458087Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6458153Z ok (0.071s) 2022-12-01T10:40:47.6458954Z test_invalid_conv2d (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6459112Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6459837Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6459993Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6460704Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6460857Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6460925Z ok (0.201s) 2022-12-01T10:40:47.6461706Z test_invalid_conv3d (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6461863Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6462582Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6462771Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6462834Z ok (0.134s) 2022-12-01T10:40:47.6462944Z test_kl_div_log_softmax_target (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6463619Z test_kl_div_with_diff_type (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6463867Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6463932Z ok (0.029s) 2022-12-01T10:40:47.6464617Z test_kl_div_with_diff_type_log_target (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6464837Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6464902Z ok (0.030s) 2022-12-01T10:40:47.6465012Z test_l1_loss_correct (__main__.TestNN) ... ok (9.310s) 2022-12-01T10:40:47.6465119Z test_l1_unstructured_pruning (__main__.TestNN) 2022-12-01T10:40:47.6465261Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.047s) 2022-12-01T10:40:47.6465384Z test_l1_unstructured_pruning_with_importance_scores (__main__.TestNN) 2022-12-01T10:40:47.6465525Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.050s) 2022-12-01T10:40:47.6465660Z test_layer_norm_grads_with_create_graph_flag (__main__.TestNN) ... ok (0.057s) 2022-12-01T10:40:47.6465778Z test_linear_broadcasting (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6465881Z test_ln_structured_pruning (__main__.TestNN) 2022-12-01T10:40:47.6465993Z Check Ln structured pruning by hand. ... ok (0.053s) 2022-12-01T10:40:47.6466118Z test_ln_structured_pruning_importance_scores (__main__.TestNN) 2022-12-01T10:40:47.6466228Z Check Ln structured pruning by hand. ... ok (0.061s) 2022-12-01T10:40:47.6466543Z test_load_state_dict (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5807 2022-12-01T10:40:47.6466606Z due to: 2022-12-01T10:40:47.6466696Z Traceback (most recent call last): 2022-12-01T10:40:47.6466955Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/immutable_collections.py", line 16, in _no_mutation 2022-12-01T10:40:47.6467209Z raise NotImplementedError(f"'{type(self).__name__}' object does not support mutation. {_help_mutation}") 2022-12-01T10:40:47.6467536Z NotImplementedError: 'immutable_dict' object does not support mutation. If you are attempting to modify the kwargs or args of a torch.fx.Node object, 2022-12-01T10:40:47.6467661Z instead create a new copy of it and assign the copy to the node: 2022-12-01T10:40:47.6467752Z new_args = ... # copy and mutate args 2022-12-01T10:40:47.6467817Z node.args = new_args 2022-12-01T10:40:47.6467823Z 2022-12-01T10:40:47.6467828Z 2022-12-01T10:40:47.6467961Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6467967Z 2022-12-01T10:40:47.6468054Z Traceback (most recent call last): 2022-12-01T10:40:47.6468213Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6468307Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6468415Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6468419Z 2022-12-01T10:40:47.6468488Z from user code: 2022-12-01T10:40:47.6468614Z File "test_nn.py", line 5813, in 2022-12-01T10:40:47.6468872Z torch.nn.modules.utils.consume_prefix_in_state_dict_if_present(ddp_state_dict, 'module.') 2022-12-01T10:40:47.6468888Z 2022-12-01T10:40:47.6469005Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6469065Z ========== 2022-12-01T10:40:47.6469130Z ok (0.447s) 2022-12-01T10:40:47.6469244Z test_load_state_dict_BC (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6469363Z test_load_state_dict_child (__main__.TestNN) ... ok (0.203s) 2022-12-01T10:40:47.6469480Z test_load_state_dict_custom (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6469597Z test_load_state_dict_invalid (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6469785Z test_load_state_dict_ref_cycle (__main__.TestNN) ... skip: TorchDynamo fails here for unknown reasons (0.001s) 2022-12-01T10:40:47.6469900Z test_load_state_dict_type (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6470008Z test_log_softmax_cpu (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6470119Z test_log_softmax_dim0 (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6470264Z test_log_softmax_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6470370Z test_log_softmax_dim3 (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6470515Z test_log_softmax_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6470627Z test_log_softmax_lastdim (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6470766Z test_log_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6470876Z test_log_softmax_scalar (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6471029Z test_log_softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6471139Z test_log_softmax_spatial (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6471292Z test_log_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6471419Z test_log_softmax_spatial_special (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6471580Z test_log_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6471886Z test_loss_equal_input_target_shape (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6582 2022-12-01T10:40:47.6471937Z due to: 2022-12-01T10:40:47.6472026Z Traceback (most recent call last): 2022-12-01T10:40:47.6472268Z File "/opt/conda/lib/python3.7/site-packages/torch/functional.py", line 74, in broadcast_tensors 2022-12-01T10:40:47.6472463Z return _VF.broadcast_tensors(tensors) # type: ignore[attr-defined] 2022-12-01T10:40:47.6472710Z RuntimeError: The size of tensor a (5) must match the size of tensor b (3) at non-singleton dimension 1 2022-12-01T10:40:47.6472715Z 2022-12-01T10:40:47.6472852Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6472859Z 2022-12-01T10:40:47.6472948Z Traceback (most recent call last): 2022-12-01T10:40:47.6473104Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6473187Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6473290Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6473295Z 2022-12-01T10:40:47.6473361Z from user code: 2022-12-01T10:40:47.6473458Z File "test_nn.py", line 6582, in 2022-12-01T10:40:47.6473586Z self.assertRaises(Exception, lambda: fn(input, target)) 2022-12-01T10:40:47.6473591Z 2022-12-01T10:40:47.6473720Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6473783Z ========== 2022-12-01T10:40:47.6473994Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6571 2022-12-01T10:40:47.6474045Z due to: 2022-12-01T10:40:47.6474136Z Traceback (most recent call last): 2022-12-01T10:40:47.6474376Z File "/opt/conda/lib/python3.7/site-packages/torch/functional.py", line 74, in broadcast_tensors 2022-12-01T10:40:47.6474596Z return _VF.broadcast_tensors(tensors) # type: ignore[attr-defined] 2022-12-01T10:40:47.6474843Z RuntimeError: The size of tensor a (5) must match the size of tensor b (3) at non-singleton dimension 1 2022-12-01T10:40:47.6474847Z 2022-12-01T10:40:47.6474981Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6474986Z 2022-12-01T10:40:47.6475074Z Traceback (most recent call last): 2022-12-01T10:40:47.6475227Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6475310Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6475442Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6475447Z 2022-12-01T10:40:47.6475515Z from user code: 2022-12-01T10:40:47.6475610Z File "test_nn.py", line 6571, in 2022-12-01T10:40:47.6475750Z 'mse_loss': lambda x, y: F.mse_loss(x, y), 2022-12-01T10:40:47.6475757Z 2022-12-01T10:40:47.6475880Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6475939Z ========== 2022-12-01T10:40:47.6476153Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6572 2022-12-01T10:40:47.6476206Z due to: 2022-12-01T10:40:47.6476293Z Traceback (most recent call last): 2022-12-01T10:40:47.6476530Z File "/opt/conda/lib/python3.7/site-packages/torch/functional.py", line 74, in broadcast_tensors 2022-12-01T10:40:47.6476721Z return _VF.broadcast_tensors(tensors) # type: ignore[attr-defined] 2022-12-01T10:40:47.6476960Z RuntimeError: The size of tensor a (5) must match the size of tensor b (3) at non-singleton dimension 1 2022-12-01T10:40:47.6476965Z 2022-12-01T10:40:47.6477101Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6477106Z 2022-12-01T10:40:47.6477194Z Traceback (most recent call last): 2022-12-01T10:40:47.6477347Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6477431Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6477536Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6477540Z 2022-12-01T10:40:47.6477608Z from user code: 2022-12-01T10:40:47.6477701Z File "test_nn.py", line 6572, in 2022-12-01T10:40:47.6477837Z 'l1_loss': lambda x, y: F.l1_loss(x, y), 2022-12-01T10:40:47.6477842Z 2022-12-01T10:40:47.6477970Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6478033Z ========== 2022-12-01T10:40:47.6478243Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6573 2022-12-01T10:40:47.6478294Z due to: 2022-12-01T10:40:47.6478382Z Traceback (most recent call last): 2022-12-01T10:40:47.6478621Z File "/opt/conda/lib/python3.7/site-packages/torch/functional.py", line 74, in broadcast_tensors 2022-12-01T10:40:47.6478814Z return _VF.broadcast_tensors(tensors) # type: ignore[attr-defined] 2022-12-01T10:40:47.6479054Z RuntimeError: The size of tensor a (5) must match the size of tensor b (3) at non-singleton dimension 1 2022-12-01T10:40:47.6479062Z 2022-12-01T10:40:47.6479199Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6479204Z 2022-12-01T10:40:47.6479292Z Traceback (most recent call last): 2022-12-01T10:40:47.6479445Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6479527Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6479630Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6479634Z 2022-12-01T10:40:47.6479701Z from user code: 2022-12-01T10:40:47.6479797Z File "test_nn.py", line 6573, in 2022-12-01T10:40:47.6479962Z 'smooth_l1_loss': lambda x, y: F.smooth_l1_loss(x, y), 2022-12-01T10:40:47.6479966Z 2022-12-01T10:40:47.6480095Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6480155Z ========== 2022-12-01T10:40:47.6480364Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6574 2022-12-01T10:40:47.6480444Z due to: 2022-12-01T10:40:47.6480534Z Traceback (most recent call last): 2022-12-01T10:40:47.6480776Z File "/opt/conda/lib/python3.7/site-packages/torch/functional.py", line 74, in broadcast_tensors 2022-12-01T10:40:47.6480969Z return _VF.broadcast_tensors(tensors) # type: ignore[attr-defined] 2022-12-01T10:40:47.6481212Z RuntimeError: The size of tensor a (5) must match the size of tensor b (3) at non-singleton dimension 1 2022-12-01T10:40:47.6481217Z 2022-12-01T10:40:47.6481348Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6481353Z 2022-12-01T10:40:47.6481440Z Traceback (most recent call last): 2022-12-01T10:40:47.6481619Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6481703Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6481807Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6481812Z 2022-12-01T10:40:47.6481878Z from user code: 2022-12-01T10:40:47.6481976Z File "test_nn.py", line 6574, in 2022-12-01T10:40:47.6482123Z 'huber_loss': lambda x, y: F.huber_loss(x, y), 2022-12-01T10:40:47.6482128Z 2022-12-01T10:40:47.6482253Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6482312Z ========== 2022-12-01T10:40:47.6482511Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6575 2022-12-01T10:40:47.6482573Z due to: 2022-12-01T10:40:47.6482663Z Traceback (most recent call last): 2022-12-01T10:40:47.6482872Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6482967Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6483213Z RuntimeError: The size of tensor a (3) must match the size of tensor b (5) at non-singleton dimension 1 2022-12-01T10:40:47.6483218Z 2022-12-01T10:40:47.6483351Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6483355Z 2022-12-01T10:40:47.6483445Z Traceback (most recent call last): 2022-12-01T10:40:47.6483595Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6483677Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6483779Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6483783Z 2022-12-01T10:40:47.6483850Z from user code: 2022-12-01T10:40:47.6483945Z File "test_nn.py", line 6575, in 2022-12-01T10:40:47.6484074Z 'kl_div': lambda x, y: F.kl_div(x, y), 2022-12-01T10:40:47.6484079Z 2022-12-01T10:40:47.6484205Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6484265Z ========== 2022-12-01T10:40:47.6484465Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 6576 2022-12-01T10:40:47.6484525Z due to: 2022-12-01T10:40:47.6484612Z Traceback (most recent call last): 2022-12-01T10:40:47.6484820Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6484917Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6485161Z RuntimeError: The size of tensor a (3) must match the size of tensor b (5) at non-singleton dimension 1 2022-12-01T10:40:47.6485166Z 2022-12-01T10:40:47.6485295Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6485299Z 2022-12-01T10:40:47.6485387Z Traceback (most recent call last): 2022-12-01T10:40:47.6485525Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6485617Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6485723Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6485727Z 2022-12-01T10:40:47.6485793Z from user code: 2022-12-01T10:40:47.6485888Z File "test_nn.py", line 6576, in 2022-12-01T10:40:47.6486056Z 'poisson_nll_loss': lambda x, y: F.poisson_nll_loss(x, y), 2022-12-01T10:40:47.6486061Z 2022-12-01T10:40:47.6486190Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6486276Z ========== 2022-12-01T10:40:47.6486607Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6486711Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6487158Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6487311Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6487598Z test_nn.py:6571: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6487742Z 'mse_loss': lambda x, y: F.mse_loss(x, y), 2022-12-01T10:40:47.6488073Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6488175Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6488458Z test_nn.py:6572: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6488592Z 'l1_loss': lambda x, y: F.l1_loss(x, y), 2022-12-01T10:40:47.6488968Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6489063Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6489337Z test_nn.py:6573: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6489500Z 'smooth_l1_loss': lambda x, y: F.smooth_l1_loss(x, y), 2022-12-01T10:40:47.6489824Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6489929Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6490204Z test_nn.py:6574: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6490350Z 'huber_loss': lambda x, y: F.huber_loss(x, y), 2022-12-01T10:40:47.6490948Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2917: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-12-01T10:40:47.6491167Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-12-01T10:40:47.6491236Z ok (0.139s) 2022-12-01T10:40:47.6491370Z test_margin_ranking_loss_margin_no_reduce (__main__.TestNN) ... ok (0.056s) 2022-12-01T10:40:47.6491485Z test_margin_ranking_loss_no_reduce (__main__.TestNN) ... ok (0.054s) 2022-12-01T10:40:47.6491602Z test_mismatch_shape_conv2d (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6491779Z test_module_apply_inplace_op (__main__.TestNN) ... ok (0.073s) 2022-12-01T10:40:47.6491890Z test_module_backcompat (__main__.TestNN) ... ok (0.140s) 2022-12-01T10:40:47.6492003Z test_module_to_argparse (__main__.TestNN) ... ok (0.024s) 2022-12-01T10:40:47.6492102Z test_modules (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6492215Z test_mse_loss_size_warning (__main__.TestNN) ... ok (0.069s) 2022-12-01T10:40:47.6492361Z test_multihead_attention_average_attn_weights_False (__main__.TestNN) ... ok (2.487s) 2022-12-01T10:40:47.6492496Z test_multihead_attention_average_attn_weights_True (__main__.TestNN) ... ok (2.344s) 2022-12-01T10:40:47.6492644Z test_multihead_attn_3d_attn_mask (__main__.TestNN) ... ok (0.072s) 2022-12-01T10:40:47.6492780Z test_multihead_attn_fast_path_invalid_shape (__main__.TestNN) ... ok (0.060s) 2022-12-01T10:40:47.6492905Z test_multihead_attn_invalid_shape (__main__.TestNN) ... ok (0.054s) 2022-12-01T10:40:47.6493334Z test_multihead_attn_nested_tensor_outside_fast_path (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5660 2022-12-01T10:40:47.6493399Z due to: 2022-12-01T10:40:47.6493488Z Traceback (most recent call last): 2022-12-01T10:40:47.6493728Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:40:47.6493835Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:40:47.6493966Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:40:47.6493971Z 2022-12-01T10:40:47.6494041Z from user code: 2022-12-01T10:40:47.6494207Z File "test_nn.py", line 5661, in 2022-12-01T10:40:47.6494327Z nt = torch.nested.nested_tensor([torch.randn(4, 4)]) 2022-12-01T10:40:47.6494332Z 2022-12-01T10:40:47.6494459Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6494522Z ========== 2022-12-01T10:40:47.6495030Z /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:47: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:177.) 2022-12-01T10:40:47.6495178Z nt = torch._nested_tensor_from_tensor_list(new_data, dtype, None, device, pin_memory) 2022-12-01T10:40:47.6495232Z ok (0.023s) 2022-12-01T10:40:47.6495353Z test_multihead_attn_no_bias (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6495498Z test_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-12-01T10:40:47.6495680Z test_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6495814Z test_multiple_inputs_parametrization (__main__.TestNN) ... ok (0.260s) 2022-12-01T10:40:47.6495931Z test_multiple_pruning_calls (__main__.TestNN) ... ok (0.116s) 2022-12-01T10:40:47.6496041Z test_named_children (__main__.TestNN) ... ok (0.058s) 2022-12-01T10:40:47.6496137Z test_named_modules (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6496256Z test_nested_tensor_from_mask (__main__.TestNN) ... ok (0.010s) 2022-12-01T10:40:47.6496559Z test_nested_tensor_from_mask_error (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5185 2022-12-01T10:40:47.6496621Z due to: 2022-12-01T10:40:47.6496712Z Traceback (most recent call last): 2022-12-01T10:40:47.6496922Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6497020Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6498943Z NotImplementedError: Could not run 'aten::_nested_tensor_from_mask' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_tensor_from_mask' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:40:47.6498978Z 2022-12-01T10:40:47.6499147Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:40:47.6499383Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:40:47.6499584Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:40:47.6499813Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:40:47.6500026Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:40:47.6500202Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:40:47.6500388Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6500575Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6500765Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:40:47.6500991Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:40:47.6501190Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6501390Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6501588Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6501788Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6501984Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6502172Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6502362Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6502556Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6502747Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6502943Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6503139Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6503336Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6503573Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6503779Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6503977Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6504179Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6504379Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:40:47.6504573Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:40:47.6504766Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:40:47.6504995Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:40:47.6505228Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:40:47.6505419Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:40:47.6505626Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:40:47.6505833Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:40:47.6506044Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:40:47.6506260Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:40:47.6506469Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:40:47.6506475Z 2022-12-01T10:40:47.6506479Z 2022-12-01T10:40:47.6506611Z During handling of the above exception, another exception occurred: 2022-12-01T10:40:47.6506617Z 2022-12-01T10:40:47.6506705Z Traceback (most recent call last): 2022-12-01T10:40:47.6506927Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6507022Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6507164Z RuntimeError: Expected mask to be of ScalarType Bool, but got Float instead. 2022-12-01T10:40:47.6507169Z 2022-12-01T10:40:47.6507302Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6507309Z 2022-12-01T10:40:47.6507395Z Traceback (most recent call last): 2022-12-01T10:40:47.6507540Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6507633Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6507738Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6507743Z 2022-12-01T10:40:47.6507810Z from user code: 2022-12-01T10:40:47.6507908Z File "test_nn.py", line 5185, in 2022-12-01T10:40:47.6508064Z self.assertRaises(RuntimeError, lambda: torch._nested_tensor_from_mask(input, mask)) 2022-12-01T10:40:47.6508069Z 2022-12-01T10:40:47.6508198Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6508259Z ========== 2022-12-01T10:40:47.6508460Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5189 2022-12-01T10:40:47.6508522Z due to: 2022-12-01T10:40:47.6508611Z Traceback (most recent call last): 2022-12-01T10:40:47.6508848Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6508943Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6510786Z NotImplementedError: Could not run 'aten::_nested_tensor_from_mask' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_tensor_from_mask' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:40:47.6510797Z 2022-12-01T10:40:47.6510966Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:40:47.6511200Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:40:47.6511402Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:40:47.6511632Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:40:47.6511847Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:40:47.6512036Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:40:47.6512223Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6512398Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6512587Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:40:47.6512810Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:40:47.6513012Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6513211Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6513408Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6513603Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6513799Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6513997Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6514190Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6514372Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6514561Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6514782Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6514979Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6515175Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6515381Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6515615Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6515816Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6516028Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6516205Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:40:47.6516387Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:40:47.6516578Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:40:47.6516809Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:40:47.6517039Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:40:47.6517229Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:40:47.6517438Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:40:47.6517645Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:40:47.6517857Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:40:47.6518084Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:40:47.6518294Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:40:47.6518300Z 2022-12-01T10:40:47.6518304Z 2022-12-01T10:40:47.6518427Z During handling of the above exception, another exception occurred: 2022-12-01T10:40:47.6518444Z 2022-12-01T10:40:47.6518526Z Traceback (most recent call last): 2022-12-01T10:40:47.6518741Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6518836Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6518933Z RuntimeError: Padding mask should be 2D 2022-12-01T10:40:47.6518938Z 2022-12-01T10:40:47.6519070Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6519075Z 2022-12-01T10:40:47.6519164Z Traceback (most recent call last): 2022-12-01T10:40:47.6519320Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6519412Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6519508Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6519513Z 2022-12-01T10:40:47.6519581Z from user code: 2022-12-01T10:40:47.6519676Z File "test_nn.py", line 5189, in 2022-12-01T10:40:47.6519832Z self.assertRaises(RuntimeError, lambda: torch._nested_tensor_from_mask(input, mask)) 2022-12-01T10:40:47.6519865Z 2022-12-01T10:40:47.6519992Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6520054Z ========== 2022-12-01T10:40:47.6520266Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5194 2022-12-01T10:40:47.6520327Z due to: 2022-12-01T10:40:47.6520404Z Traceback (most recent call last): 2022-12-01T10:40:47.6520616Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6520712Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6522544Z NotImplementedError: Could not run 'aten::_nested_tensor_from_mask' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_tensor_from_mask' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:40:47.6522554Z 2022-12-01T10:40:47.6522724Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:40:47.6522959Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:40:47.6523155Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:40:47.6523382Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:40:47.6523597Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:40:47.6523785Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:40:47.6523971Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6524159Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6524337Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:40:47.6524560Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:40:47.6524761Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6524959Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6525157Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6525354Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6525549Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6525745Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6525963Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6526152Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6526341Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6526525Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6526748Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6527060Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6527273Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6527484Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6527686Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6527899Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6528073Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:40:47.6528270Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:40:47.6528464Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:40:47.6528683Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:40:47.6528970Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:40:47.6529164Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:40:47.6529371Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:40:47.6529578Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:40:47.6529790Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:40:47.6530017Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:40:47.6530227Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:40:47.6530232Z 2022-12-01T10:40:47.6530236Z 2022-12-01T10:40:47.6530371Z During handling of the above exception, another exception occurred: 2022-12-01T10:40:47.6530377Z 2022-12-01T10:40:47.6530467Z Traceback (most recent call last): 2022-12-01T10:40:47.6530679Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6530775Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6530888Z RuntimeError: Input should be a 3D tensor, N * L * D 2022-12-01T10:40:47.6530895Z 2022-12-01T10:40:47.6531027Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6531033Z 2022-12-01T10:40:47.6531121Z Traceback (most recent call last): 2022-12-01T10:40:47.6531276Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6531442Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6531548Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6531552Z 2022-12-01T10:40:47.6531609Z from user code: 2022-12-01T10:40:47.6531705Z File "test_nn.py", line 5194, in 2022-12-01T10:40:47.6531862Z self.assertRaises(RuntimeError, lambda: torch._nested_tensor_from_mask(input, mask)) 2022-12-01T10:40:47.6531866Z 2022-12-01T10:40:47.6531995Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6532059Z ========== 2022-12-01T10:40:47.6532272Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5199 2022-12-01T10:40:47.6532372Z due to: 2022-12-01T10:40:47.6532463Z Traceback (most recent call last): 2022-12-01T10:40:47.6532665Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6532760Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6534588Z NotImplementedError: Could not run 'aten::_nested_tensor_from_mask' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_tensor_from_mask' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:40:47.6534607Z 2022-12-01T10:40:47.6534776Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:40:47.6535000Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:40:47.6535197Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:40:47.6535424Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:40:47.6535639Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:40:47.6535825Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:40:47.6536008Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6536196Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6536384Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:40:47.6536607Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:40:47.6536796Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6536998Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6537196Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6537390Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6537615Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6537811Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6538001Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6538192Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6538407Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6538606Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6538796Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6538991Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6539200Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6539410Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6539616Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6539829Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6540004Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:40:47.6540200Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:40:47.6540393Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:40:47.6540623Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:40:47.6540854Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:40:47.6541035Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:40:47.6541241Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:40:47.6541450Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:40:47.6541661Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:40:47.6541887Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:40:47.6542095Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:40:47.6542100Z 2022-12-01T10:40:47.6542104Z 2022-12-01T10:40:47.6542242Z During handling of the above exception, another exception occurred: 2022-12-01T10:40:47.6542247Z 2022-12-01T10:40:47.6542336Z Traceback (most recent call last): 2022-12-01T10:40:47.6542554Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6542678Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6542775Z RuntimeError: Mask size should match input size 2022-12-01T10:40:47.6542780Z 2022-12-01T10:40:47.6542912Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6542917Z 2022-12-01T10:40:47.6543006Z Traceback (most recent call last): 2022-12-01T10:40:47.6543162Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6543254Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6543357Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6543362Z 2022-12-01T10:40:47.6543430Z from user code: 2022-12-01T10:40:47.6543550Z File "test_nn.py", line 5199, in 2022-12-01T10:40:47.6543698Z self.assertRaises(RuntimeError, lambda: torch._nested_tensor_from_mask(input, mask)) 2022-12-01T10:40:47.6543703Z 2022-12-01T10:40:47.6543832Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6543892Z ========== 2022-12-01T10:40:47.6544108Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5205 2022-12-01T10:40:47.6544168Z due to: 2022-12-01T10:40:47.6544253Z Traceback (most recent call last): 2022-12-01T10:40:47.6544466Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6544550Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6546390Z NotImplementedError: Could not run 'aten::_nested_tensor_from_mask' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_tensor_from_mask' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:40:47.6546399Z 2022-12-01T10:40:47.6546566Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:40:47.6546800Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:40:47.6546995Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:40:47.6547210Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:40:47.6547421Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:40:47.6547606Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:40:47.6547789Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6547974Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6548161Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:40:47.6548385Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:40:47.6548587Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6548816Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6549003Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6549202Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6549393Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6549617Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6549809Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6549999Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6550192Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6550389Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6550585Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6550779Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6550980Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6551187Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6551390Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6551600Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:40:47.6551774Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:40:47.6551966Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:40:47.6552159Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:40:47.6552388Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:40:47.6552618Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:40:47.6552811Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:40:47.6553009Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:40:47.6553215Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:40:47.6553425Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:40:47.6553656Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:40:47.6553861Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:40:47.6553900Z 2022-12-01T10:40:47.6553904Z 2022-12-01T10:40:47.6554040Z During handling of the above exception, another exception occurred: 2022-12-01T10:40:47.6554045Z 2022-12-01T10:40:47.6554134Z Traceback (most recent call last): 2022-12-01T10:40:47.6554399Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:40:47.6554544Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:40:47.6554723Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:40:47.6554727Z 2022-12-01T10:40:47.6554888Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6554894Z 2022-12-01T10:40:47.6554972Z Traceback (most recent call last): 2022-12-01T10:40:47.6555128Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:40:47.6555193Z ) from e 2022-12-01T10:40:47.6555431Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:40:47.6555435Z 2022-12-01T10:40:47.6555568Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6555573Z 2022-12-01T10:40:47.6555661Z Traceback (most recent call last): 2022-12-01T10:40:47.6555815Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6555910Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6556005Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6556020Z 2022-12-01T10:40:47.6556076Z from user code: 2022-12-01T10:40:47.6556174Z File "test_nn.py", line 5205, in 2022-12-01T10:40:47.6556328Z self.assertRaises(RuntimeError, lambda: torch._nested_tensor_from_mask(input, mask)) 2022-12-01T10:40:47.6556333Z 2022-12-01T10:40:47.6556461Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6556523Z ========== 2022-12-01T10:40:47.6556588Z ok (0.187s) 2022-12-01T10:40:47.6556700Z test_new_spectral_norm (__main__.TestNN) ... ok (6.324s) 2022-12-01T10:40:47.6556806Z test_new_spectral_norm_dim (__main__.TestNN) ... ok (0.042s) 2022-12-01T10:40:47.6556926Z test_new_spectral_norm_forward (__main__.TestNN) ... ok (0.040s) 2022-12-01T10:40:47.6557053Z test_new_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.070s) 2022-12-01T10:40:47.6557158Z test_nnpack_conv (__main__.TestNN) ... ok (0.234s) 2022-12-01T10:40:47.6557255Z test_no_grad (__main__.TestNN) ... ok (0.032s) 2022-12-01T10:40:47.6557368Z test_non_leaf_parameters (__main__.TestNN) ... ok (0.037s) 2022-12-01T10:40:47.6557469Z test_normalize (__main__.TestNN) ... ok (0.086s) 2022-12-01T10:40:47.6557568Z test_orthogonal_errors (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6557892Z test_orthogonal_parametrization (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT assert_is_orthogonal test_nn.py line 4996 2022-12-01T10:40:47.6557957Z due to: 2022-12-01T10:40:47.6558046Z Traceback (most recent call last): 2022-12-01T10:40:47.6558198Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:40:47.6558282Z return n.meta["example_value"] 2022-12-01T10:40:47.6558396Z KeyError: 'example_value' 2022-12-01T10:40:47.6558401Z 2022-12-01T10:40:47.6558467Z from user code: 2022-12-01T10:40:47.6558566Z File "test_nn.py", line 5001, in assert_is_orthogonal 2022-12-01T10:40:47.6558775Z Id = torch.eye(k, dtype=X.dtype, device=X.device).expand(*(X.size()[:-2]), k, k) 2022-12-01T10:40:47.6558780Z 2022-12-01T10:40:47.6558908Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6558967Z ========== 2022-12-01T10:40:47.6559210Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assert_weight_allclose_Q test_nn.py line 5006 2022-12-01T10:40:47.6559272Z due to: 2022-12-01T10:40:47.6559360Z Traceback (most recent call last): 2022-12-01T10:40:47.6559539Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:40:47.6559614Z return n.meta["example_value"] 2022-12-01T10:40:47.6559724Z KeyError: 'example_value' 2022-12-01T10:40:47.6559729Z 2022-12-01T10:40:47.6559795Z from user code: 2022-12-01T10:40:47.6559911Z File "test_nn.py", line 5012, in assert_weight_allclose_Q 2022-12-01T10:40:47.6559994Z Q, R = torch.linalg.qr(W) 2022-12-01T10:40:47.6559999Z 2022-12-01T10:40:47.6560127Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6560186Z ========== 2022-12-01T10:40:47.6560789Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6560887Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6561470Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6561564Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6562136Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6562231Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6562802Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6562898Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6563469Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6563559Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6564132Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6564223Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6564796Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6564879Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6565450Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6565542Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6566117Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6566238Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6566809Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6566903Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6567654Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6567749Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6568324Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6568417Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6569055Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6569148Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6569709Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6569801Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6570369Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6570462Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6571029Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6571124Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6571692Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6571788Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6572350Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6572443Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6573015Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6573105Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6573660Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6573808Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6574377Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6574467Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6575065Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6575160Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6575727Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6575819Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6576382Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6576475Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6577040Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6577133Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6577695Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6577775Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6578341Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:40:47.6578431Z warnings.warn(msg, FutureWarning) 2022-12-01T10:40:47.6578498Z ok (0.641s) 2022-12-01T10:40:47.6578815Z test_overwrite_module_params_on_conversion (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 2056 2022-12-01T10:40:47.6578879Z due to: 2022-12-01T10:40:47.6578970Z Traceback (most recent call last): 2022-12-01T10:40:47.6579130Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6579226Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6579641Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:40:47.6579648Z 2022-12-01T10:40:47.6579781Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6579786Z 2022-12-01T10:40:47.6579872Z Traceback (most recent call last): 2022-12-01T10:40:47.6580059Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6580154Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6580262Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6580267Z 2022-12-01T10:40:47.6580334Z from user code: 2022-12-01T10:40:47.6580428Z File "test_nn.py", line 2056, in 2022-12-01T10:40:47.6580584Z m = m._apply(lambda t: torch.sparse_coo_tensor(torch.zeros([2, 1]), torch.ones([1]), torch.Size([10, 20]))) 2022-12-01T10:40:47.6580599Z 2022-12-01T10:40:47.6580718Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6580778Z ========== 2022-12-01T10:40:47.6581102Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 2056 2022-12-01T10:40:47.6581166Z due to: 2022-12-01T10:40:47.6581252Z Traceback (most recent call last): 2022-12-01T10:40:47.6581479Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py", line 41, in __new__ 2022-12-01T10:40:47.6581640Z raise RuntimeError(f"Creating a Parameter from an instance of type {type(data).__name__} " 2022-12-01T10:40:47.6582010Z RuntimeError: Creating a Parameter from an instance of type FakeTensor requires that detach() returns an instance of the same type, but return type Tensor was found instead. To use the type as a Parameter, please correct the detach() semantics defined by its __torch_dispatch__() implementation. 2022-12-01T10:40:47.6582015Z 2022-12-01T10:40:47.6582072Z from user code: 2022-12-01T10:40:47.6582226Z File "test_nn.py", line 2057, in 2022-12-01T10:40:47.6582357Z self.assertNotEqual(weight_ref.layout, m.weight.layout) 2022-12-01T10:40:47.6582362Z 2022-12-01T10:40:47.6582489Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6582548Z ========== 2022-12-01T10:40:47.6582612Z ok (0.132s) 2022-12-01T10:40:47.6582765Z test_pack_sequence_batch_sizes_throw (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6583048Z test_pad_scalar_error (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5160 2022-12-01T10:40:47.6583100Z due to: 2022-12-01T10:40:47.6583188Z Traceback (most recent call last): 2022-12-01T10:40:47.6583345Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6583449Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6583545Z RuntimeError: Padding length too large 2022-12-01T10:40:47.6583549Z 2022-12-01T10:40:47.6583682Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6583689Z 2022-12-01T10:40:47.6583777Z Traceback (most recent call last): 2022-12-01T10:40:47.6583930Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6584013Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6584121Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6584126Z 2022-12-01T10:40:47.6584193Z from user code: 2022-12-01T10:40:47.6584288Z File "test_nn.py", line 5160, in 2022-12-01T10:40:47.6584421Z self.assertRaises(RuntimeError, lambda: F.pad(inputs, (1, 1))) 2022-12-01T10:40:47.6584426Z 2022-12-01T10:40:47.6584551Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6584610Z ========== 2022-12-01T10:40:47.6584824Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5161 2022-12-01T10:40:47.6584875Z due to: 2022-12-01T10:40:47.6584962Z Traceback (most recent call last): 2022-12-01T10:40:47.6585116Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6585223Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6585338Z RuntimeError: Padding length must be divisible by 2 2022-12-01T10:40:47.6585343Z 2022-12-01T10:40:47.6585475Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6585508Z 2022-12-01T10:40:47.6585597Z Traceback (most recent call last): 2022-12-01T10:40:47.6585750Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6585832Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6585935Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6585940Z 2022-12-01T10:40:47.6586007Z from user code: 2022-12-01T10:40:47.6586103Z File "test_nn.py", line 5161, in 2022-12-01T10:40:47.6586235Z self.assertRaises(RuntimeError, lambda: F.pad(inputs, (1,))) 2022-12-01T10:40:47.6586240Z 2022-12-01T10:40:47.6586429Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6586493Z ========== 2022-12-01T10:40:47.6586547Z ok (0.048s) 2022-12-01T10:40:47.6586656Z test_padding_list (__main__.TestNN) ... ok (0.043s) 2022-12-01T10:40:47.6586771Z test_pairwise_distance (__main__.TestNN) ... ok (0.030s) 2022-12-01T10:40:47.6586946Z test_parameter_assignment (__main__.TestNN) ... skip: TorchDynamo fails here for unknown reasons (0.002s) 2022-12-01T10:40:47.6587077Z test_parameterlistdict_pickle (__main__.TestNN) ... ok (0.087s) 2022-12-01T10:40:47.6587215Z test_parameterlistdict_setting_attributes (__main__.TestNN) ... ok (0.069s) 2022-12-01T10:40:47.6587347Z test_parameters_and_named_parameters (__main__.TestNN) ... ok (0.044s) 2022-12-01T10:40:47.6587463Z test_parameters_to_vector (__main__.TestNN) ... ok (0.031s) 2022-12-01T10:40:47.6587572Z test_parametrization_same_training_mode (__main__.TestNN) 2022-12-01T10:40:47.6587715Z Test training mode updated on parametrization registration ... ok (0.006s) 2022-12-01T10:40:47.6587995Z test_parse_to (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parse_to test_nn.py line 170 2022-12-01T10:40:47.6588057Z due to: 2022-12-01T10:40:47.6588147Z Traceback (most recent call last): 2022-12-01T10:40:47.6588296Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6588548Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6588781Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:40:47.6588786Z 2022-12-01T10:40:47.6588843Z from user code: 2022-12-01T10:40:47.6588945Z File "test_nn.py", line 173, in test_parse_to 2022-12-01T10:40:47.6589082Z repr(torch._C._nn._parse_to(memory_format=torch.contiguous_format)[3]), 2022-12-01T10:40:47.6589087Z 2022-12-01T10:40:47.6589215Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6589275Z ========== 2022-12-01T10:40:47.6589340Z ok (0.003s) 2022-12-01T10:40:47.6589484Z test_partial_flat_weights (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6589571Z test_pdist (__main__.TestNN) ... ok (0.122s) 2022-12-01T10:40:47.6589721Z test_pdist_cpu_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.012s) 2022-12-01T10:40:47.6590087Z test_pdist_cuda_gradgrad_unimplemented (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pdist_cuda_gradgrad_unimplemented test_nn.py line 9027 2022-12-01T10:40:47.6590146Z due to: 2022-12-01T10:40:47.6590234Z Traceback (most recent call last): 2022-12-01T10:40:47.6590464Z File "/opt/conda/lib/python3.7/site-packages/torch/cuda/__init__.py", line 221, in _lazy_init 2022-12-01T10:40:47.6590591Z raise AssertionError("Torch not compiled with CUDA enabled") 2022-12-01T10:40:47.6590705Z AssertionError: Torch not compiled with CUDA enabled 2022-12-01T10:40:47.6590710Z 2022-12-01T10:40:47.6590777Z from user code: 2022-12-01T10:40:47.6590901Z File "test_nn.py", line 9029, in test_pdist_cuda_gradgrad_unimplemented 2022-12-01T10:40:47.6591071Z inp = torch.randn(4, 5, device='cuda', requires_grad=True) 2022-12-01T10:40:47.6591075Z 2022-12-01T10:40:47.6591203Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6591292Z ========== 2022-12-01T10:40:47.6591371Z expected failure (0.002s) 2022-12-01T10:40:47.6591478Z test_pdist_empty_col (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6591586Z test_pdist_empty_row (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6591678Z test_pdist_large (__main__.TestNN) ... ok (0.031s) 2022-12-01T10:40:47.6591763Z test_pdist_zeros (__main__.TestNN) 2022-12-01T10:40:47.6591879Z Test that grad is still valid when dist is 0 ... ok (0.103s) 2022-12-01T10:40:47.6592225Z test_pixel_shuffle_nhwc_cpu (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 8497 2022-12-01T10:40:47.6592315Z due to: 2022-12-01T10:40:47.6592406Z Traceback (most recent call last): 2022-12-01T10:40:47.6592568Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:40:47.6592683Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:40:47.6592795Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:40:47.6592800Z 2022-12-01T10:40:47.6592870Z from user code: 2022-12-01T10:40:47.6593006Z File "test_nn.py", line 8499, in 2022-12-01T10:40:47.6593146Z self.assertTrue(out.is_contiguous(memory_format=torch.channels_last)) 2022-12-01T10:40:47.6593151Z 2022-12-01T10:40:47.6593277Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6593336Z ========== 2022-12-01T10:40:47.6593401Z ok (0.248s) 2022-12-01T10:40:47.6593740Z test_pixel_shuffle_unshuffle (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_pixel_shuffle_unshuffle_helper test_nn.py line 8383 2022-12-01T10:40:47.6593791Z due to: 2022-12-01T10:40:47.6593879Z Traceback (most recent call last): 2022-12-01T10:40:47.6594033Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6594136Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6594421Z TypeError: rand() received an invalid combination of arguments - got (FakeTensor, requires_grad=bool), but expected one of: 2022-12-01T10:40:47.6594668Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6594903Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6595106Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6595317Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6595322Z 2022-12-01T10:40:47.6595327Z 2022-12-01T10:40:47.6595384Z from user code: 2022-12-01T10:40:47.6595516Z File "test_nn.py", line 8404, in _test_pixel_shuffle_unshuffle_helper 2022-12-01T10:40:47.6595625Z input = torch.rand(channels, requires_grad=True) 2022-12-01T10:40:47.6595630Z 2022-12-01T10:40:47.6595757Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6595822Z ========== 2022-12-01T10:40:47.6596035Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 8423 2022-12-01T10:40:47.6596100Z due to: 2022-12-01T10:40:47.6596188Z Traceback (most recent call last): 2022-12-01T10:40:47.6596392Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6596488Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6596662Z RuntimeError: pixel_shuffle expects input to have at least 3 dimensions, but got input with 1 dimension(s) 2022-12-01T10:40:47.6596668Z 2022-12-01T10:40:47.6596798Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6596832Z 2022-12-01T10:40:47.6596921Z Traceback (most recent call last): 2022-12-01T10:40:47.6597076Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6597170Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6597277Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6597282Z 2022-12-01T10:40:47.6597339Z from user code: 2022-12-01T10:40:47.6597434Z File "test_nn.py", line 8423, in 2022-12-01T10:40:47.6597550Z self.assertRaises(RuntimeError, lambda: ps(input)) 2022-12-01T10:40:47.6597555Z 2022-12-01T10:40:47.6597680Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6597738Z ========== 2022-12-01T10:40:47.6598035Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_pixel_unshuffle_error_case_helper test_nn.py line 8425 2022-12-01T10:40:47.6598098Z due to: 2022-12-01T10:40:47.6598187Z Traceback (most recent call last): 2022-12-01T10:40:47.6598332Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6598438Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6598722Z TypeError: rand() received an invalid combination of arguments - got (FakeTensor, requires_grad=bool), but expected one of: 2022-12-01T10:40:47.6598966Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6599197Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6599399Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6599609Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6599617Z 2022-12-01T10:40:47.6599621Z 2022-12-01T10:40:47.6599688Z from user code: 2022-12-01T10:40:47.6599822Z File "test_nn.py", line 8435, in _test_pixel_unshuffle_error_case_helper 2022-12-01T10:40:47.6599923Z input = torch.rand(channels, requires_grad=True) 2022-12-01T10:40:47.6599938Z 2022-12-01T10:40:47.6600054Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6600115Z ========== 2022-12-01T10:40:47.6600327Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 8443 2022-12-01T10:40:47.6600389Z due to: 2022-12-01T10:40:47.6600476Z Traceback (most recent call last): 2022-12-01T10:40:47.6600693Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6600787Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6600956Z RuntimeError: pixel_unshuffle expects input to have at least 3 dimensions, but got input with 1 dimension(s) 2022-12-01T10:40:47.6600961Z 2022-12-01T10:40:47.6601096Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6601101Z 2022-12-01T10:40:47.6601187Z Traceback (most recent call last): 2022-12-01T10:40:47.6601340Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6601433Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6601537Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6601542Z 2022-12-01T10:40:47.6601607Z from user code: 2022-12-01T10:40:47.6601702Z File "test_nn.py", line 8443, in 2022-12-01T10:40:47.6601812Z self.assertRaises(RuntimeError, lambda: pus(input)) 2022-12-01T10:40:47.6601816Z 2022-12-01T10:40:47.6601948Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6602008Z ========== 2022-12-01T10:40:47.6602072Z ok (0.564s) 2022-12-01T10:40:47.6602457Z test_pointwise_loss_broadcast (__main__.TestNN) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6602599Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6602933Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6603035Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6603337Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6603621Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6603956Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6604048Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6604327Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6604598Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6604932Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6605035Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6605308Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6605587Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6605923Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6606028Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6606300Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6606568Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6606895Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6607146Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6607421Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6607681Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6608054Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6608160Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6608437Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6608705Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6609107Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6609214Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6609483Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6609756Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6610088Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6610193Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6610467Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6610733Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6611063Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6611166Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6611425Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6611699Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6612081Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6612183Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6612485Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6612752Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6613081Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6613185Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6613459Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6613732Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6614061Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6614166Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6614433Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6614697Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6615021Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6615113Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6615388Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6615657Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6615988Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6616092Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6616397Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6616667Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6617023Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6617126Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6617400Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6617669Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6617995Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6618100Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6618370Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6618636Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6618963Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6619055Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6619324Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6619587Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6619918Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6620021Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6620288Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6620563Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6620921Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6621020Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6621289Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6621581Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6621912Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6622015Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6622284Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6622542Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6622871Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6622972Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6623239Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6623503Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6623834Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6623938Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6624207Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6624473Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6624801Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6624904Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6625176Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6625473Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6625800Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6625927Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6626184Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6626455Z :5: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-12-01T10:40:47.6626520Z ok (0.241s) 2022-12-01T10:40:47.6626661Z test_pointwise_loss_target_grad_none_reduction (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6626792Z test_poisson_nll_loss_reduction_modes (__main__.TestNN) ... ok (0.046s) 2022-12-01T10:40:47.6626921Z test_projections_errors_on_gru_and_rnn (__main__.TestNN) ... ok (0.005s) 2022-12-01T10:40:47.6627048Z test_projections_lstm_args_check (__main__.TestNN) ... ok (0.230s) 2022-12-01T10:40:47.6627304Z test_projections_lstm_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-12-01T10:40:47.6627438Z test_projections_lstm_initial_hidden_state (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6627700Z test_prune (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_prune test_nn.py line 4226 2022-12-01T10:40:47.6627767Z due to: 2022-12-01T10:40:47.6627853Z Traceback (most recent call last): 2022-12-01T10:40:47.6628008Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6628259Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6628564Z AssertionError: torch.* op returned non-Tensor L1Unstructured call_function 2022-12-01T10:40:47.6628571Z 2022-12-01T10:40:47.6628640Z from user code: 2022-12-01T10:40:47.6628744Z File "test_nn.py", line 4228, in test_prune 2022-12-01T10:40:47.6628833Z p = prune.L1Unstructured(amount=2) 2022-12-01T10:40:47.6628838Z 2022-12-01T10:40:47.6628966Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6629026Z ========== 2022-12-01T10:40:47.6629089Z ok (0.003s) 2022-12-01T10:40:47.6629421Z test_prune_importance_scores (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_prune_importance_scores test_nn.py line 4239 2022-12-01T10:40:47.6629484Z due to: 2022-12-01T10:40:47.6629574Z Traceback (most recent call last): 2022-12-01T10:40:47.6629717Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6629961Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6630263Z AssertionError: torch.* op returned non-Tensor L1Unstructured call_function 2022-12-01T10:40:47.6630268Z 2022-12-01T10:40:47.6630338Z from user code: 2022-12-01T10:40:47.6630459Z File "test_nn.py", line 4241, in test_prune_importance_scores 2022-12-01T10:40:47.6630557Z p = prune.L1Unstructured(amount=2) 2022-12-01T10:40:47.6630562Z 2022-12-01T10:40:47.6630692Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6630784Z ========== 2022-12-01T10:40:47.6630837Z ok (0.003s) 2022-12-01T10:40:47.6631207Z test_prune_importance_scores_mimic_default (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_prune_importance_scores_mimic_default test_nn.py line 4255 2022-12-01T10:40:47.6631271Z due to: 2022-12-01T10:40:47.6631360Z Traceback (most recent call last): 2022-12-01T10:40:47.6631511Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6631757Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6632084Z AssertionError: torch.* op returned non-Tensor L1Unstructured call_function 2022-12-01T10:40:47.6632090Z 2022-12-01T10:40:47.6632160Z from user code: 2022-12-01T10:40:47.6632294Z File "test_nn.py", line 4257, in test_prune_importance_scores_mimic_default 2022-12-01T10:40:47.6632383Z p = prune.L1Unstructured(amount=2) 2022-12-01T10:40:47.6632388Z 2022-12-01T10:40:47.6632513Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6632572Z ========== 2022-12-01T10:40:47.6632635Z ok (0.003s) 2022-12-01T10:40:47.6632946Z test_pruning_container (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pruning_container test_nn.py line 3761 2022-12-01T10:40:47.6633011Z due to: 2022-12-01T10:40:47.6633099Z Traceback (most recent call last): 2022-12-01T10:40:47.6633242Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6633489Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6633806Z AssertionError: torch.* op returned non-Tensor PruningContainer call_function 2022-12-01T10:40:47.6633811Z 2022-12-01T10:40:47.6633878Z from user code: 2022-12-01T10:40:47.6633992Z File "test_nn.py", line 3763, in test_pruning_container 2022-12-01T10:40:47.6634102Z container = prune.PruningContainer() 2022-12-01T10:40:47.6634107Z 2022-12-01T10:40:47.6634236Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6634295Z ========== 2022-12-01T10:40:47.6634348Z ok (0.003s) 2022-12-01T10:40:47.6634464Z test_pruning_container_compute_mask (__main__.TestNN) 2022-12-01T10:40:47.6634822Z Test `compute_mask` of pruning container with a known `t` and ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pruning_container_compute_mask test_nn.py line 3786 2022-12-01T10:40:47.6634884Z due to: 2022-12-01T10:40:47.6634974Z Traceback (most recent call last): 2022-12-01T10:40:47.6635130Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6635373Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6635685Z AssertionError: torch.* op returned non-Tensor PruningContainer call_function 2022-12-01T10:40:47.6635693Z 2022-12-01T10:40:47.6635761Z from user code: 2022-12-01T10:40:47.6635880Z File "test_nn.py", line 3792, in test_pruning_container_compute_mask 2022-12-01T10:40:47.6635985Z container = prune.PruningContainer() 2022-12-01T10:40:47.6635990Z 2022-12-01T10:40:47.6636117Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6636178Z ========== 2022-12-01T10:40:47.6636240Z ok (0.005s) 2022-12-01T10:40:47.6636342Z test_pruning_id_consistency (__main__.TestNN) 2022-12-01T10:40:47.6636548Z Test that pruning doesn't change the id of the parameters, which ... ok (0.051s) 2022-12-01T10:40:47.6636635Z test_pruning_rollback (__main__.TestNN) 2022-12-01T10:40:47.6636776Z Test that if something fails when the we try to compute the mask, ... ok (0.135s) 2022-12-01T10:40:47.6636903Z test_pruning_serialization_model (__main__.TestNN) ... ok (0.206s) 2022-12-01T10:40:47.6637061Z test_pruning_serialization_state_dict (__main__.TestNN) ... ok (0.373s) 2022-12-01T10:40:47.6637170Z test_random_pruning (__main__.TestNN) ... ok (0.029s) 2022-12-01T10:40:47.6637271Z test_random_pruning_0perc (__main__.TestNN) 2022-12-01T10:40:47.6637403Z Test that a mask of 1s does not change forward or backward. ... ok (0.078s) 2022-12-01T10:40:47.6637504Z test_random_pruning_forward (__main__.TestNN) 2022-12-01T10:40:47.6637598Z check forward with mask (by hand). ... ok (0.024s) 2022-12-01T10:40:47.6637700Z test_random_pruning_new_weight (__main__.TestNN) 2022-12-01T10:40:47.6637832Z Test that module.name now contains a pruned version of ... ok (0.069s) 2022-12-01T10:40:47.6637959Z test_random_pruning_orig (__main__.TestNN) 2022-12-01T10:40:47.6638155Z Test that original tensor is correctly stored in 'orig' ... ok (0.059s) 2022-12-01T10:40:47.6638272Z test_random_pruning_pickle (__main__.TestNN) ... ok (0.062s) 2022-12-01T10:40:47.6638370Z test_random_pruning_sizes (__main__.TestNN) 2022-12-01T10:40:47.6638504Z Test that the new parameters and buffers created by the pruning ... ok (0.081s) 2022-12-01T10:40:47.6638855Z test_random_structured_pruning_amount (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_random_structured_pruning_amount test_nn.py line 3901 2022-12-01T10:40:47.6638916Z due to: 2022-12-01T10:40:47.6639007Z Traceback (most recent call last): 2022-12-01T10:40:47.6639160Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6639405Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6639720Z AssertionError: torch.* op returned non-Tensor RandomStructured call_function 2022-12-01T10:40:47.6639725Z 2022-12-01T10:40:47.6639794Z from user code: 2022-12-01T10:40:47.6639925Z File "test_nn.py", line 3904, in test_random_structured_pruning_amount 2022-12-01T10:40:47.6640038Z p = prune.RandomStructured(amount=AMOUNT, dim=AXIS) 2022-12-01T10:40:47.6640043Z 2022-12-01T10:40:47.6640172Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6640231Z ========== 2022-12-01T10:40:47.6640295Z ok (0.003s) 2022-12-01T10:40:47.6640426Z test_register_and_remove_buffer_parametrization (__main__.TestNN) 2022-12-01T10:40:47.6640580Z Test that it is possible to add and remove parametrizations on buffers ... ok (0.021s) 2022-12-01T10:40:47.6640709Z test_register_and_remove_nested_parametrization (__main__.TestNN) 2022-12-01T10:40:47.6641006Z Test that it is possible to nest the parametrizations ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 2534 2022-12-01T10:40:47.6641068Z due to: 2022-12-01T10:40:47.6641156Z Traceback (most recent call last): 2022-12-01T10:40:47.6641319Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:40:47.6641421Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:40:47.6641542Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:40:47.6641547Z 2022-12-01T10:40:47.6641614Z from user code: 2022-12-01T10:40:47.6641709Z File "test_nn.py", line 2536, in forward 2022-12-01T10:40:47.6641794Z return X - X.T 2022-12-01T10:40:47.6641799Z 2022-12-01T10:40:47.6641925Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6641985Z ========== 2022-12-01T10:40:47.6642049Z ok (0.011s) 2022-12-01T10:40:47.6642171Z test_register_and_remove_parametrization (__main__.TestNN) 2022-12-01T10:40:47.6642485Z Test that it is possible to add a few parametrizations ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 2317 2022-12-01T10:40:47.6642548Z due to: 2022-12-01T10:40:47.6642626Z Traceback (most recent call last): 2022-12-01T10:40:47.6642787Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:40:47.6642887Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:40:47.6643034Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:40:47.6643039Z 2022-12-01T10:40:47.6643106Z from user code: 2022-12-01T10:40:47.6643198Z File "test_nn.py", line 2319, in forward 2022-12-01T10:40:47.6643295Z return X - X.T 2022-12-01T10:40:47.6643300Z 2022-12-01T10:40:47.6643428Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6643478Z ========== 2022-12-01T10:40:47.6643547Z ok (0.089s) 2022-12-01T10:40:47.6643696Z test_register_buffer_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.045s) 2022-12-01T10:40:47.6643864Z test_register_buffer_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6644011Z test_register_buffer_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6644146Z test_register_buffer_raises_error_if_not_tensor (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6644299Z test_register_parameter_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6644446Z test_register_parameter_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6644585Z test_register_parameter_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6644698Z test_relu_inplace_on_view (__main__.TestNN) ... ok (0.037s) 2022-12-01T10:40:47.6644788Z test_remove_pruning (__main__.TestNN) 2022-12-01T10:40:47.6644926Z `prune.remove` removes the hook and the reparametrization ... ok (0.114s) 2022-12-01T10:40:47.6645031Z test_remove_pruning_exception (__main__.TestNN) 2022-12-01T10:40:47.6645169Z Removing from an unpruned tensor throws an assertion error ... ok (0.059s) 2022-12-01T10:40:47.6645270Z test_remove_pruning_forward (__main__.TestNN) 2022-12-01T10:40:47.6645398Z Remove pruning and check forward is unchanged from previous ... ok (0.023s) 2022-12-01T10:40:47.6645492Z test_repr (__main__.TestNN) ... ok (0.047s) 2022-12-01T10:40:47.6645602Z test_requires_grad_ (__main__.TestNN) ... ok (0.045s) 2022-12-01T10:40:47.6645706Z test_rnn_args_check (__main__.TestNN) ... ok (0.206s) 2022-12-01T10:40:47.6645921Z test_rnn_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-12-01T10:40:47.6646038Z test_rnn_initial_hidden_state (__main__.TestNN) ... ok (0.019s) 2022-12-01T10:40:47.6646141Z test_rnn_pruning (__main__.TestNN) ... ok (0.095s) 2022-12-01T10:40:47.6646247Z test_rnn_weight_norm (__main__.TestNN) ... ok (0.416s) 2022-12-01T10:40:47.6646351Z test_serialization_parametrization (__main__.TestNN) 2022-12-01T10:40:47.6646693Z Test that it is possible to serialize a parametrized model via state_dict ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 2622 2022-12-01T10:40:47.6646758Z due to: 2022-12-01T10:40:47.6646847Z Traceback (most recent call last): 2022-12-01T10:40:47.6647125Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:40:47.6647229Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:40:47.6647347Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:40:47.6647352Z 2022-12-01T10:40:47.6647419Z from user code: 2022-12-01T10:40:47.6647501Z File "test_nn.py", line 2624, in forward 2022-12-01T10:40:47.6647591Z A = A - A.T 2022-12-01T10:40:47.6647595Z 2022-12-01T10:40:47.6647724Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6647788Z ========== 2022-12-01T10:40:47.6647851Z ok (0.050s) 2022-12-01T10:40:47.6647959Z test_share_memory (__main__.TestNN) ... ok (0.011s) 2022-12-01T10:40:47.6648088Z test_smoothl1loss_intergral_target (__main__.TestNN) ... ok (0.073s) 2022-12-01T10:40:47.6648218Z test_smoothl1loss_negative_beta_not_supported (__main__.TestNN) ... ok (0.012s) 2022-12-01T10:40:47.6648323Z test_softmax_cpu (__main__.TestNN) ... ok (0.015s) 2022-12-01T10:40:47.6648440Z test_softmax_functional_dim0 (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6648662Z test_softmax_functional_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6648778Z test_softmax_functional_dim3 (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6649000Z test_softmax_functional_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6649124Z test_softmax_functional_scalar (__main__.TestNN) ... ok (0.004s) 2022-12-01T10:40:47.6649281Z test_softmax_functional_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6649379Z test_softmax_lastdim (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6649558Z test_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6649676Z test_softmax_lastdim_dtype (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6649824Z test_softmax_lastdim_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6649938Z test_softmax_spatial (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6650084Z test_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6650200Z test_softmax_spatial_dtype (__main__.TestNN) ... ok (0.007s) 2022-12-01T10:40:47.6650357Z test_softmax_spatial_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6650476Z test_softmax_spatial_special (__main__.TestNN) ... ok (0.008s) 2022-12-01T10:40:47.6650632Z test_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-12-01T10:40:47.6650731Z test_softmin (__main__.TestNN) ... ok (0.021s) 2022-12-01T10:40:47.6650884Z test_spectral_norm (__main__.TestNN) ... skip: TorchDynamo fails here for unknown reasons (0.005s) 2022-12-01T10:40:47.6650996Z test_spectral_norm_dim (__main__.TestNN) ... ok (0.034s) 2022-12-01T10:40:47.6651114Z test_spectral_norm_forward (__main__.TestNN) ... ok (0.033s) 2022-12-01T10:40:47.6651240Z test_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.093s) 2022-12-01T10:40:47.6651356Z test_spectral_norm_pickle (__main__.TestNN) ... ok (0.026s) 2022-12-01T10:40:47.6651671Z test_state_dict (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 5757 2022-12-01T10:40:47.6651734Z due to: 2022-12-01T10:40:47.6651823Z Traceback (most recent call last): 2022-12-01T10:40:47.6651968Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6652217Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6652413Z AssertionError: torch.* op returned non-Tensor int call_method data_ptr 2022-12-01T10:40:47.6652419Z 2022-12-01T10:40:47.6652490Z from user code: 2022-12-01T10:40:47.6652614Z File "test_nn.py", line 5773, in 2022-12-01T10:40:47.6652730Z self.assertEqual(v.data_ptr(), param.data_ptr()) 2022-12-01T10:40:47.6652737Z 2022-12-01T10:40:47.6652866Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6652925Z ========== 2022-12-01T10:40:47.6652978Z ok (3.181s) 2022-12-01T10:40:47.6653128Z test_sync_batchnorm_accuracy_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6653279Z test_sync_batchnorm_backward_elemt (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-12-01T10:40:47.6653435Z test_thnn_conv_strided_padded_dilated (__main__.TestNN) ... skip: CUDA not available (0.002s) 2022-12-01T10:40:47.6653547Z test_threshold_bfloat16 (__main__.TestNN) ... ok (0.013s) 2022-12-01T10:40:47.6653652Z test_threshold_int (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6653933Z test_to (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 600 2022-12-01T10:40:47.6653993Z due to: 2022-12-01T10:40:47.6654071Z Traceback (most recent call last): 2022-12-01T10:40:47.6654254Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6654497Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6654755Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:40:47.6654761Z 2022-12-01T10:40:47.6654830Z from user code: 2022-12-01T10:40:47.6654942Z File "test_nn.py", line 602, in 2022-12-01T10:40:47.6655030Z if torch.cuda.is_available(): 2022-12-01T10:40:47.6655035Z 2022-12-01T10:40:47.6655192Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6655243Z ========== 2022-12-01T10:40:47.6655307Z ok (0.096s) 2022-12-01T10:40:47.6655431Z test_train_errors_for_invalid_mode (__main__.TestNN) ... ok (0.009s) 2022-12-01T10:40:47.6655554Z test_transfer_parametrizations_and_params (__main__.TestNN) 2022-12-01T10:40:47.6655723Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.049s) 2022-12-01T10:40:47.6655872Z test_transfer_parametrizations_and_params_many_to_one (__main__.TestNN) ... ok (0.033s) 2022-12-01T10:40:47.6656008Z test_transfer_parametrizations_and_params_right_inverse (__main__.TestNN) 2022-12-01T10:40:47.6656164Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.015s) 2022-12-01T10:40:47.6656305Z test_transfer_parametrizations_and_params_single_param (__main__.TestNN) 2022-12-01T10:40:47.6656468Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.034s) 2022-12-01T10:40:47.6656782Z test_transformer_args_check (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 7551 2022-12-01T10:40:47.6656847Z due to: 2022-12-01T10:40:47.6656935Z Traceback (most recent call last): 2022-12-01T10:40:47.6657099Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:40:47.6657217Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:40:47.6657388Z AttributeError: 'staticmethod' object has no attribute '__code__' 2022-12-01T10:40:47.6657403Z 2022-12-01T10:40:47.6657460Z from user code: 2022-12-01T10:40:47.6657570Z File "test_nn.py", line 7554, in 2022-12-01T10:40:47.6657697Z src_mask = model.generate_square_subsequent_mask(src_mask_len) 2022-12-01T10:40:47.6657703Z 2022-12-01T10:40:47.6657829Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6657891Z ========== 2022-12-01T10:40:47.6657952Z ok (0.416s) 2022-12-01T10:40:47.6658075Z test_transformer_layer_args_check (__main__.TestNN) ... ok (0.032s) 2022-12-01T10:40:47.6658385Z test_transformerdecoder (__main__.TestNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_transformerdecoder test_nn.py line 7101 2022-12-01T10:40:47.6658445Z due to: 2022-12-01T10:40:47.6658535Z Traceback (most recent call last): 2022-12-01T10:40:47.6658691Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6658940Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6659201Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:40:47.6659206Z 2022-12-01T10:40:47.6659270Z from user code: 2022-12-01T10:40:47.6659388Z File "test_nn.py", line 7133, in test_transformerdecoder 2022-12-01T10:40:47.6659473Z use_cuda = torch.cuda.is_available() 2022-12-01T10:40:47.6659478Z 2022-12-01T10:40:47.6659606Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6659667Z ========== 2022-12-01T10:40:47.6659731Z ok (0.318s) 2022-12-01T10:40:47.6659861Z test_transformerdecoderlayer (__main__.TestNN) ... ok (0.170s) 2022-12-01T10:40:47.6659995Z test_transformerdecoderlayer_gelu (__main__.TestNN) ... ok (0.122s) 2022-12-01T10:40:47.6660141Z test_triplet_margin_loss (__main__.TestNN) ... ok (0.058s) 2022-12-01T10:40:47.6660264Z test_triplet_margin_loss_invalid (__main__.TestNN) ... ok (0.024s) 2022-12-01T10:40:47.6660380Z test_triplet_margin_loss_no_reduce (__main__.TestNN) ... ok (0.059s) 2022-12-01T10:40:47.6660497Z test_triplet_margin_loss_swap (__main__.TestNN) ... ok (0.061s) 2022-12-01T10:40:47.6660626Z test_triplet_margin_loss_swap_no_reduce (__main__.TestNN) ... ok (0.060s) 2022-12-01T10:40:47.6660721Z test_type (__main__.TestNN) ... ok (0.306s) 2022-12-01T10:40:47.6660834Z test_type_before_parametrizations (__main__.TestNN) 2022-12-01T10:40:47.6661012Z Test that type_before_parametrizations always retrieves original type ... ok (0.006s) 2022-12-01T10:40:47.6661684Z test_unflatten (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:1105: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1761.) 2022-12-01T10:40:47.6661794Z return super(Tensor, self).refine_names(names) 2022-12-01T10:40:47.6661847Z ok (0.008s) 2022-12-01T10:40:47.6661963Z test_unflatten_invalid_arg (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6662073Z test_unfold_invalid_arg (__main__.TestNN) ... ok (0.029s) 2022-12-01T10:40:47.6662193Z test_unstructured_pruning_same_magnitude (__main__.TestNN) 2022-12-01T10:40:47.6662574Z Since it may happen that the tensor to prune has entries with the ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_unstructured_pruning_same_magnitude test_nn.py line 3885 2022-12-01T10:40:47.6662638Z due to: 2022-12-01T10:40:47.6662727Z Traceback (most recent call last): 2022-12-01T10:40:47.6662878Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6663118Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6663418Z AssertionError: torch.* op returned non-Tensor L1Unstructured call_function 2022-12-01T10:40:47.6663424Z 2022-12-01T10:40:47.6663491Z from user code: 2022-12-01T10:40:47.6663626Z File "test_nn.py", line 3892, in test_unstructured_pruning_same_magnitude 2022-12-01T10:40:47.6663733Z p = prune.L1Unstructured(amount=AMOUNT) 2022-12-01T10:40:47.6663738Z 2022-12-01T10:40:47.6663867Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6663927Z ========== 2022-12-01T10:40:47.6663992Z ok (0.003s) 2022-12-01T10:40:47.6664130Z test_upsamplingBilinear2d_spatial_invariance (__main__.TestNN) ... ok (0.081s) 2022-12-01T10:40:47.6664253Z test_upsamplingLinear1d (__main__.TestNN) ... ok (0.077s) 2022-12-01T10:40:47.6664392Z test_upsamplingLinear1d_spatial_invariance (__main__.TestNN) ... ok (0.078s) 2022-12-01T10:40:47.6664517Z test_upsamplingTrilinear3d (__main__.TestNN) ... ok (0.138s) 2022-12-01T10:40:47.6664663Z test_upsamplingTrilinear3d_spatial_invariance (__main__.TestNN) ... ok (0.080s) 2022-12-01T10:40:47.6664778Z test_upsampling_bfloat16 (__main__.TestNN) ... ok (0.386s) 2022-12-01T10:40:47.6664914Z test_upsampling_not_recompute_scale_factor (__main__.TestNN) ... ok (0.118s) 2022-12-01T10:40:47.6665029Z test_upsampling_small_scale (__main__.TestNN) ... ok (0.018s) 2022-12-01T10:40:47.6665124Z test_validate_pruning_amount (__main__.TestNN) 2022-12-01T10:40:47.6665257Z Tests the second util function that validates the pruning ... ok (0.010s) 2022-12-01T10:40:47.6665369Z test_validate_pruning_amount_init (__main__.TestNN) 2022-12-01T10:40:47.6665500Z Test the first util function that validates the pruning ... ok (0.013s) 2022-12-01T10:40:47.6665616Z test_vector_to_parameters (__main__.TestNN) ... ok (0.054s) 2022-12-01T10:40:47.6665717Z test_weight_norm (__main__.TestNN) ... ok (0.014s) 2022-12-01T10:40:47.6665863Z test_weight_norm_pickle (__main__.TestNN) ... ok (0.026s) 2022-12-01T10:40:47.6665951Z test_zero_grad (__main__.TestNN) ... ok (0.023s) 2022-12-01T10:40:47.6666087Z test_BatchNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.072s) 2022-12-01T10:40:47.6666222Z test_Bilinear_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.067s) 2022-12-01T10:40:47.6666380Z test_CTCLoss_cudnn_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6666523Z test_CTCLoss_empty_target_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.095s) 2022-12-01T10:40:47.6666951Z test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _CTCLoss_gen_losses test_nn.py line 15485 2022-12-01T10:40:47.6667018Z due to: 2022-12-01T10:40:47.6667107Z Traceback (most recent call last): 2022-12-01T10:40:47.6667251Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6667499Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6667759Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:40:47.6667764Z 2022-12-01T10:40:47.6667832Z from user code: 2022-12-01T10:40:47.6667941Z File "test_nn.py", line 15506, in _CTCLoss_gen_losses 2022-12-01T10:40:47.6668038Z has_cuda = torch.cuda.is_available() 2022-12-01T10:40:47.6668043Z 2022-12-01T10:40:47.6668169Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6668231Z ========== 2022-12-01T10:40:47.6668284Z ok (0.279s) 2022-12-01T10:40:47.6668468Z test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:40:47.6668649Z test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:40:47.6668822Z test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:40:47.6668991Z test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:40:47.6669168Z test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:40:47.6669553Z test_Conv2d_backward_depthwise_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_Conv2d_backward_depthwise test_nn.py line 15802 2022-12-01T10:40:47.6669613Z due to: 2022-12-01T10:40:47.6669705Z Traceback (most recent call last): 2022-12-01T10:40:47.6669847Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6670093Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6670385Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:40:47.6670390Z 2022-12-01T10:40:47.6670460Z from user code: 2022-12-01T10:40:47.6670584Z File "test_nn.py", line 15812, in test_Conv2d_backward_depthwise 2022-12-01T10:40:47.6670715Z with torch.backends.cudnn.flags(enabled=cudnn_enabled): 2022-12-01T10:40:47.6670721Z 2022-12-01T10:40:47.6670849Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6670908Z ========== 2022-12-01T10:40:47.6670961Z ok (1.346s) 2022-12-01T10:40:47.6671122Z test_Conv2d_backward_depthwise_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.131s) 2022-12-01T10:40:47.6671310Z test_Conv2d_depthwise_naive_groups_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6671489Z test_Conv2d_depthwise_naive_groups_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6671716Z test_Conv2d_depthwise_naive_groups_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6671900Z test_Conv2d_deterministic_cudnn_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6672080Z test_Conv2d_deterministic_cudnn_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6672255Z test_Conv2d_deterministic_cudnn_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6672436Z test_Conv2d_deterministic_cudnn_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6672624Z test_Conv2d_deterministic_cudnn_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6672800Z test_Conv2d_large_workspace_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6672972Z test_Conv2d_large_workspace_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6673145Z test_Conv2d_large_workspace_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6673528Z test_Conv2d_naive_groups_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 15789 2022-12-01T10:40:47.6673592Z due to: 2022-12-01T10:40:47.6673684Z Traceback (most recent call last): 2022-12-01T10:40:47.6673839Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:40:47.6673925Z return n.meta["example_value"] 2022-12-01T10:40:47.6674027Z KeyError: 'example_value' 2022-12-01T10:40:47.6674033Z 2022-12-01T10:40:47.6674103Z from user code: 2022-12-01T10:40:47.6674239Z File "test_nn.py", line 15793, in 2022-12-01T10:40:47.6674347Z torch.cat([i1.grad.data, i2.grad.data], 1), 2022-12-01T10:40:47.6674354Z 2022-12-01T10:40:47.6674485Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6674545Z ========== 2022-12-01T10:40:47.6674608Z ok (0.363s) 2022-12-01T10:40:47.6674761Z test_Conv2d_size_1_kernel_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6674948Z test_Conv3d_depthwise_naive_groups_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6675126Z test_Conv3d_depthwise_naive_groups_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6675301Z test_Conv3d_depthwise_naive_groups_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6675492Z test_ConvTranspose2d_large_output_padding_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6675681Z test_ConvTranspose2d_large_output_padding_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6675858Z test_ConvTranspose2d_size_1_kernel_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6676033Z test_ConvTranspose3d_size_1_kernel_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6676400Z test_GRU_grad_and_gradgrad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 15370 2022-12-01T10:40:47.6676463Z due to: 2022-12-01T10:40:47.6676541Z Traceback (most recent call last): 2022-12-01T10:40:47.6676696Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6676940Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6677229Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:40:47.6677262Z 2022-12-01T10:40:47.6677330Z from user code: 2022-12-01T10:40:47.6677452Z File "test_nn.py", line 15371, in 2022-12-01T10:40:47.6677572Z with torch.backends.cudnn.flags(enabled=False): 2022-12-01T10:40:47.6677577Z 2022-12-01T10:40:47.6677703Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6677753Z ========== 2022-12-01T10:40:47.6677815Z ok (0.108s) 2022-12-01T10:40:47.6677953Z test_GroupNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:40:47.6678093Z test_GroupNorm_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.066s) 2022-12-01T10:40:47.6678256Z test_GroupNorm_numeric_cpu (__main__.TestNNDeviceTypeCPU) ... ok (1.203s) 2022-12-01T10:40:47.6678426Z test_GroupNorm_raises_error_if_one_value_per_group_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6678790Z test_InstanceNorm1d_general_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_InstanceNorm1d_general test_nn.py line 13355 2022-12-01T10:40:47.6678855Z due to: 2022-12-01T10:40:47.6678933Z Traceback (most recent call last): 2022-12-01T10:40:47.6679090Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6679196Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6679487Z TypeError: rand() received an invalid combination of arguments - got (FakeTensor, FakeTensor, FakeTensor), but expected one of: 2022-12-01T10:40:47.6679734Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6679969Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6680174Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6680387Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6680393Z 2022-12-01T10:40:47.6680397Z 2022-12-01T10:40:47.6680466Z from user code: 2022-12-01T10:40:47.6680576Z File "test_nn.py", line 13360, in test_InstanceNorm1d_general 2022-12-01T10:40:47.6680660Z input = torch.rand(b, c, d) 2022-12-01T10:40:47.6680664Z 2022-12-01T10:40:47.6680794Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6680855Z ========== 2022-12-01T10:40:47.6681126Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 11990 2022-12-01T10:40:47.6681189Z due to: 2022-12-01T10:40:47.6681278Z Traceback (most recent call last): 2022-12-01T10:40:47.6681433Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:40:47.6681510Z return n.meta["example_value"] 2022-12-01T10:40:47.6681621Z KeyError: 'example_value' 2022-12-01T10:40:47.6681627Z 2022-12-01T10:40:47.6681695Z from user code: 2022-12-01T10:40:47.6681832Z File "test_nn.py", line 11998, in 2022-12-01T10:40:47.6682022Z self.assertEqual(torch.abs(mean.data).mean(), 0, atol=1e-5, rtol=0) 2022-12-01T10:40:47.6682027Z 2022-12-01T10:40:47.6682154Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6682214Z ========== 2022-12-01T10:40:47.6682279Z ok (0.050s) 2022-12-01T10:40:47.6682634Z test_InstanceNorm2d_general_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_InstanceNorm2d_general test_nn.py line 13366 2022-12-01T10:40:47.6682697Z due to: 2022-12-01T10:40:47.6682787Z Traceback (most recent call last): 2022-12-01T10:40:47.6682945Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6683080Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6683391Z TypeError: rand() received an invalid combination of arguments - got (FakeTensor, FakeTensor, FakeTensor, FakeTensor), but expected one of: 2022-12-01T10:40:47.6683637Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6683869Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6684083Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6684296Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6684304Z 2022-12-01T10:40:47.6684320Z 2022-12-01T10:40:47.6684377Z from user code: 2022-12-01T10:40:47.6684499Z File "test_nn.py", line 13372, in test_InstanceNorm2d_general 2022-12-01T10:40:47.6684586Z input = torch.rand(b, c, h, w) 2022-12-01T10:40:47.6684591Z 2022-12-01T10:40:47.6684720Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6684782Z ========== 2022-12-01T10:40:47.6684848Z ok (0.024s) 2022-12-01T10:40:47.6685215Z test_InstanceNorm3d_general_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_InstanceNorm3d_general test_nn.py line 13378 2022-12-01T10:40:47.6685266Z due to: 2022-12-01T10:40:47.6685357Z Traceback (most recent call last): 2022-12-01T10:40:47.6685515Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6685620Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6685953Z TypeError: rand() received an invalid combination of arguments - got (FakeTensor, FakeTensor, FakeTensor, FakeTensor, FakeTensor), but expected one of: 2022-12-01T10:40:47.6686196Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6686428Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6686627Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6686841Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:40:47.6686847Z 2022-12-01T10:40:47.6686851Z 2022-12-01T10:40:47.6686920Z from user code: 2022-12-01T10:40:47.6687149Z File "test_nn.py", line 13385, in test_InstanceNorm3d_general 2022-12-01T10:40:47.6687244Z input = torch.rand(b, c, h, w, d) 2022-12-01T10:40:47.6687249Z 2022-12-01T10:40:47.6687378Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6687441Z ========== 2022-12-01T10:40:47.6687508Z ok (0.025s) 2022-12-01T10:40:47.6687669Z test_LSTM_grad_and_gradgrad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.121s) 2022-12-01T10:40:47.6688020Z test_LayerNorm_general_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_LayerNorm_general test_nn.py line 13414 2022-12-01T10:40:47.6688071Z due to: 2022-12-01T10:40:47.6688164Z Traceback (most recent call last): 2022-12-01T10:40:47.6688336Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:40:47.6688459Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:40:47.6688542Z AssertionError: dtype 2022-12-01T10:40:47.6688547Z 2022-12-01T10:40:47.6688616Z from user code: 2022-12-01T10:40:47.6688792Z File "test_nn.py", line 13415, in test_LayerNorm_general 2022-12-01T10:40:47.6688965Z self._test_LayerNorm_general(device) 2022-12-01T10:40:47.6688971Z 2022-12-01T10:40:47.6689090Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6689152Z ========== 2022-12-01T10:40:47.6689371Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 12100 2022-12-01T10:40:47.6689435Z due to: 2022-12-01T10:40:47.6689526Z Traceback (most recent call last): 2022-12-01T10:40:47.6689744Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6689844Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6690175Z RuntimeError: Expected normalized_shape to be at least 1-dimensional, i.e., containing at least one element, but got normalized_shape = [] 2022-12-01T10:40:47.6690194Z 2022-12-01T10:40:47.6690318Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6690325Z 2022-12-01T10:40:47.6690412Z Traceback (most recent call last): 2022-12-01T10:40:47.6690566Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6690662Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6690768Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6690773Z 2022-12-01T10:40:47.6690841Z from user code: 2022-12-01T10:40:47.6690936Z File "test_nn.py", line 12100, in 2022-12-01T10:40:47.6691055Z self.assertRaises(RuntimeError, lambda: ln(input)) 2022-12-01T10:40:47.6691060Z 2022-12-01T10:40:47.6691176Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6691238Z ========== 2022-12-01T10:40:47.6691303Z ok (0.074s) 2022-12-01T10:40:47.6691442Z test_LayerNorm_numeric_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.707s) 2022-12-01T10:40:47.6691599Z test_LocalResponseNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:40:47.6691746Z test_MarginLoss_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6691893Z test_MarginLoss_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6692065Z test_ReflectionPad2d_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6692228Z test_ReflectionPad3d_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6692389Z test_ReflectionPad_empty_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:40:47.6692540Z test_ReflectionPad_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:40:47.6692693Z test_ReplicationPad1d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.188s) 2022-12-01T10:40:47.6692846Z test_ReplicationPad2d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (2.979s) 2022-12-01T10:40:47.6692997Z test_ReplicationPad3d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (11.374s) 2022-12-01T10:40:47.6693158Z test_ReplicationPad_empty_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6693313Z test_ReplicationPad_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:40:47.6693617Z test_TransformerDecoderLayer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:40:47.6693917Z test_TransformerDecoder_empty_cpu (__main__.TestNNDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:40:47.6694226Z test_TransformerEncoderLayer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.002s) 2022-12-01T10:40:47.6694520Z test_TransformerEncoder_empty_cpu (__main__.TestNNDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:40:47.6694804Z test_Transformer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:40:47.6694968Z test_Unfold_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.038s) 2022-12-01T10:40:47.6695134Z test_activations_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6695282Z test_activations_bfloat16_cpu_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.382s) 2022-12-01T10:40:47.6695419Z test_affine_2d_rotate0_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.244s) 2022-12-01T10:40:47.6695544Z test_affine_2d_rotate45_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.104s) 2022-12-01T10:40:47.6695679Z test_affine_2d_rotate90_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.181s) 2022-12-01T10:40:47.6695847Z test_affine_2d_rotateRandom_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.373s) 2022-12-01T10:40:47.6695994Z test_affine_3d_rotateRandom_cpu (__main__.TestNNDeviceTypeCPU) ... ok (7.376s) 2022-12-01T10:40:47.6696140Z test_batchnorm_affine_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.167s) 2022-12-01T10:40:47.6696317Z test_batchnorm_affine_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6696496Z test_batchnorm_affine_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6696639Z test_batchnorm_eval_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.360s) 2022-12-01T10:40:47.6696802Z test_batchnorm_eval_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6696974Z test_batchnorm_eval_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6697307Z test_batchnorm_grad_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_batchnorm_grad test_nn.py line 15827 2022-12-01T10:40:47.6697373Z due to: 2022-12-01T10:40:47.6697464Z Traceback (most recent call last): 2022-12-01T10:40:47.6697633Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:40:47.6697757Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:40:47.6697840Z AssertionError: dtype 2022-12-01T10:40:47.6697844Z 2022-12-01T10:40:47.6697912Z from user code: 2022-12-01T10:40:47.6698011Z File "test_nn.py", line 15828, in test_batchnorm_grad 2022-12-01T10:40:47.6698103Z self._test_batchnorm_grad(device) 2022-12-01T10:40:47.6698108Z 2022-12-01T10:40:47.6698236Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6698297Z ========== 2022-12-01T10:40:47.6698363Z ok (0.033s) 2022-12-01T10:40:47.6698539Z test_batchnorm_large_batch_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6698715Z test_batchnorm_large_batch_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6698862Z test_batchnorm_simple_average_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.327s) 2022-12-01T10:40:47.6699051Z test_batchnorm_simple_average_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6699239Z test_batchnorm_simple_average_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6699601Z test_batchnorm_update_stats_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_batchnorm_update_stats test_nn.py line 16276 2022-12-01T10:40:47.6699664Z due to: 2022-12-01T10:40:47.6699755Z Traceback (most recent call last): 2022-12-01T10:40:47.6699924Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:40:47.6700048Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:40:47.6700119Z AssertionError: dtype 2022-12-01T10:40:47.6700136Z 2022-12-01T10:40:47.6700194Z from user code: 2022-12-01T10:40:47.6700314Z File "test_nn.py", line 16277, in test_batchnorm_update_stats 2022-12-01T10:40:47.6700415Z self._test_batchnorm_update_stats(device) 2022-12-01T10:40:47.6700455Z 2022-12-01T10:40:47.6700586Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6700649Z ========== 2022-12-01T10:40:47.6700714Z ok (0.110s) 2022-12-01T10:40:47.6700869Z test_clip_grad_norm_error_if_nonfinite_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.372s) 2022-12-01T10:40:47.6701030Z test_clip_grad_norm_multi_device_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6701201Z test_contig_wrong_stride_cudnn_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6701389Z test_conv1d_same_padding_backward_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.174s) 2022-12-01T10:40:47.6701554Z test_conv1d_same_padding_backward_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.101s) 2022-12-01T10:40:47.6701710Z test_conv1d_same_padding_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:40:47.6701861Z test_conv1d_same_padding_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:40:47.6702031Z test_conv1d_valid_padding_backward_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.062s) 2022-12-01T10:40:47.6702194Z test_conv1d_valid_padding_backward_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.042s) 2022-12-01T10:40:47.6702346Z test_conv1d_valid_padding_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6702484Z test_conv1d_valid_padding_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:40:47.6702641Z test_conv1d_vs_scipy_mode_same_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.150s) 2022-12-01T10:40:47.6702796Z test_conv1d_vs_scipy_mode_same_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.109s) 2022-12-01T10:40:47.6702953Z test_conv1d_vs_scipy_mode_valid_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.043s) 2022-12-01T10:40:47.6703106Z test_conv1d_vs_scipy_mode_valid_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:40:47.6703254Z test_conv2d_no_grad_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6703419Z test_conv2d_same_padding_backward_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.190s) 2022-12-01T10:40:47.6703584Z test_conv2d_same_padding_backward_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.107s) 2022-12-01T10:40:47.6703724Z test_conv2d_same_padding_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.068s) 2022-12-01T10:40:47.6703872Z test_conv2d_same_padding_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:40:47.6704041Z test_conv2d_valid_padding_backward_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.064s) 2022-12-01T10:40:47.6704203Z test_conv2d_valid_padding_backward_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.043s) 2022-12-01T10:40:47.6704359Z test_conv2d_valid_padding_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6704508Z test_conv2d_valid_padding_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:40:47.6704666Z test_conv2d_vs_scipy_mode_same_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.138s) 2022-12-01T10:40:47.6704817Z test_conv2d_vs_scipy_mode_same_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.132s) 2022-12-01T10:40:47.6704975Z test_conv2d_vs_scipy_mode_valid_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.043s) 2022-12-01T10:40:47.6705117Z test_conv2d_vs_scipy_mode_valid_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:40:47.6705282Z test_conv3d_same_padding_backward_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... ok (0.553s) 2022-12-01T10:40:47.6705443Z test_conv3d_same_padding_backward_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.269s) 2022-12-01T10:40:47.6705596Z test_conv3d_same_padding_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.088s) 2022-12-01T10:40:47.6705744Z test_conv3d_same_padding_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:40:47.6705935Z test_conv3d_valid_padding_backward_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... ok (0.427s) 2022-12-01T10:40:47.6706096Z test_conv3d_valid_padding_backward_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.116s) 2022-12-01T10:40:47.6706250Z test_conv3d_valid_padding_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6706388Z test_conv3d_valid_padding_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:40:47.6706547Z test_conv3d_vs_scipy_mode_same_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.168s) 2022-12-01T10:40:47.6706725Z test_conv3d_vs_scipy_mode_same_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.132s) 2022-12-01T10:40:47.6706886Z test_conv3d_vs_scipy_mode_valid_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.058s) 2022-12-01T10:40:47.6707039Z test_conv3d_vs_scipy_mode_valid_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.069s) 2022-12-01T10:40:47.6707187Z test_convTranspose_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6707416Z test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6707638Z test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6707854Z test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6708076Z test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6708287Z test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6708508Z test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6708728Z test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6708946Z test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6709165Z test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6709385Z test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6709603Z test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6709824Z test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6710043Z test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6710263Z test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6710479Z test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6710685Z test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6710905Z test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6718974Z test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6719258Z test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6719489Z test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6719800Z test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6720025Z test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6720250Z test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6720456Z test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6720668Z test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6720876Z test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6721088Z test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6721294Z test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6721501Z test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6721708Z test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6721916Z test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6722124Z test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6722349Z test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6722568Z test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6722781Z test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6723001Z test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6723220Z test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6723440Z test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.014s) 2022-12-01T10:40:47.6723658Z test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6723905Z test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6724114Z test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6724322Z test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6724528Z test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6724757Z test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6724968Z test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6725163Z test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6725367Z test_conv_backend_cudnn2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6725572Z test_conv_backend_cudnn2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6725790Z test_conv_backend_cudnn2d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6726011Z test_conv_backend_cudnn2d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6726227Z test_conv_backend_cudnn2d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6726451Z test_conv_backend_cudnn2d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6726671Z test_conv_backend_cudnn2d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6726888Z test_conv_backend_cudnn2d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6727236Z test_conv_backend_cudnn2d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6727453Z test_conv_backend_cudnn2d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6727660Z test_conv_backend_cudnn3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6727858Z test_conv_backend_cudnn3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6728068Z test_conv_backend_cudnn3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6728274Z test_conv_backend_cudnn3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6728484Z test_conv_backend_cudnn3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6728693Z test_conv_backend_cudnn3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6729029Z test_conv_backend_cudnn3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6729234Z test_conv_backend_cudnn3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6729722Z test_conv_backend_empty_batch1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 13249 2022-12-01T10:40:47.6729788Z due to: 2022-12-01T10:40:47.6729881Z Traceback (most recent call last): 2022-12-01T10:40:47.6730067Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6730322Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6730655Z AssertionError: torch.* op returned non-Tensor _ConvBackend call_function 2022-12-01T10:40:47.6730665Z 2022-12-01T10:40:47.6730734Z from user code: 2022-12-01T10:40:47.6730859Z File "test_nn.py", line 13263, in 2022-12-01T10:40:47.6730977Z backend_actual = torch._C._select_conv_backend(*inputs) 2022-12-01T10:40:47.6730982Z 2022-12-01T10:40:47.6731112Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6731174Z ========== 2022-12-01T10:40:47.6731227Z ok (0.118s) 2022-12-01T10:40:47.6731644Z test_conv_backend_empty_batch1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_conv_backend test_nn.py line 13087 2022-12-01T10:40:47.6731708Z due to: 2022-12-01T10:40:47.6731798Z Traceback (most recent call last): 2022-12-01T10:40:47.6731953Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6732201Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6732530Z AssertionError: torch.* op returned non-Tensor _ConvBackend call_function 2022-12-01T10:40:47.6732535Z 2022-12-01T10:40:47.6732604Z from user code: 2022-12-01T10:40:47.6732711Z File "test_nn.py", line 13263, in test_conv_backend 2022-12-01T10:40:47.6732818Z backend_actual = torch._C._select_conv_backend(*inputs) 2022-12-01T10:40:47.6732823Z 2022-12-01T10:40:47.6732952Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6733013Z ========== 2022-12-01T10:40:47.6733079Z ok (0.037s) 2022-12-01T10:40:47.6733275Z test_conv_backend_empty_batch1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6733474Z test_conv_backend_empty_batch1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6733676Z test_conv_backend_empty_batch1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6733872Z test_conv_backend_empty_batch1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6734053Z test_conv_backend_empty_batch1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6734246Z test_conv_backend_empty_batch1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6734444Z test_conv_backend_empty_batch2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6734639Z test_conv_backend_empty_batch2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6734833Z test_conv_backend_empty_batch2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6735065Z test_conv_backend_empty_batch2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6735257Z test_conv_backend_empty_batch2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6735449Z test_conv_backend_empty_batch2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6735663Z test_conv_backend_empty_batch2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6735855Z test_conv_backend_empty_batch2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6736039Z test_conv_backend_empty_batch3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6736236Z test_conv_backend_empty_batch3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6736430Z test_conv_backend_empty_batch3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6736618Z test_conv_backend_empty_batch3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6736809Z test_conv_backend_empty_batch3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6737006Z test_conv_backend_empty_batch3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6737196Z test_conv_backend_empty_batch3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6737389Z test_conv_backend_empty_batch3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6737600Z test_conv_backend_empty_batch_channel1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6737804Z test_conv_backend_empty_batch_channel1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6738003Z test_conv_backend_empty_batch_channel1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6738199Z test_conv_backend_empty_batch_channel1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6738400Z test_conv_backend_empty_batch_channel1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6738608Z test_conv_backend_empty_batch_channel1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6738807Z test_conv_backend_empty_batch_channel1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6739007Z test_conv_backend_empty_batch_channel1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6739215Z test_conv_backend_empty_batch_channel2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6739417Z test_conv_backend_empty_batch_channel2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6739613Z test_conv_backend_empty_batch_channel2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6739812Z test_conv_backend_empty_batch_channel2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6740043Z test_conv_backend_empty_batch_channel2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6740234Z test_conv_backend_empty_batch_channel2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6740429Z test_conv_backend_empty_batch_channel2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6740652Z test_conv_backend_empty_batch_channel2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6740857Z test_conv_backend_empty_batch_channel3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6741057Z test_conv_backend_empty_batch_channel3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6741257Z test_conv_backend_empty_batch_channel3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6741458Z test_conv_backend_empty_batch_channel3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6741659Z test_conv_backend_empty_batch_channel3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6741861Z test_conv_backend_empty_batch_channel3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6742060Z test_conv_backend_empty_batch_channel3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6742258Z test_conv_backend_empty_batch_channel3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6742450Z test_conv_backend_empty_channel1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6742646Z test_conv_backend_empty_channel1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6742840Z test_conv_backend_empty_channel1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6743034Z test_conv_backend_empty_channel1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6743230Z test_conv_backend_empty_channel1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6743424Z test_conv_backend_empty_channel1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6743625Z test_conv_backend_empty_channel1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6743819Z test_conv_backend_empty_channel1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:40:47.6744017Z test_conv_backend_empty_channel2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6744211Z test_conv_backend_empty_channel2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6744396Z test_conv_backend_empty_channel2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6744588Z test_conv_backend_empty_channel2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6744781Z test_conv_backend_empty_channel2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6744999Z test_conv_backend_empty_channel2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6745191Z test_conv_backend_empty_channel2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6745381Z test_conv_backend_empty_channel2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6745579Z test_conv_backend_empty_channel3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6745796Z test_conv_backend_empty_channel3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6745991Z test_conv_backend_empty_channel3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6746185Z test_conv_backend_empty_channel3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6746367Z test_conv_backend_empty_channel3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6746555Z test_conv_backend_empty_channel3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6746744Z test_conv_backend_empty_channel3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6746933Z test_conv_backend_empty_channel3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6747141Z test_conv_backend_miopen1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6747345Z test_conv_backend_miopen1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6747553Z test_conv_backend_miopen1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6747760Z test_conv_backend_miopen1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6747964Z test_conv_backend_miopen1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6748177Z test_conv_backend_miopen1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6748380Z test_conv_backend_miopen1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6748581Z test_conv_backend_miopen1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6748806Z test_conv_backend_miopen1d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6749029Z test_conv_backend_miopen1d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6749250Z test_conv_backend_miopen1d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6749472Z test_conv_backend_miopen1d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6749690Z test_conv_backend_miopen1d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6749938Z test_conv_backend_miopen1d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6750159Z test_conv_backend_miopen1d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6750377Z test_conv_backend_miopen1d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6750610Z test_conv_backend_miopen2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6750818Z test_conv_backend_miopen2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6751018Z test_conv_backend_miopen2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6751230Z test_conv_backend_miopen2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6751434Z test_conv_backend_miopen2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6751642Z test_conv_backend_miopen2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6751848Z test_conv_backend_miopen2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6752055Z test_conv_backend_miopen2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6752276Z test_conv_backend_miopen2d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6752500Z test_conv_backend_miopen2d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6752719Z test_conv_backend_miopen2d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6752939Z test_conv_backend_miopen2d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6753160Z test_conv_backend_miopen2d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6753365Z test_conv_backend_miopen2d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6753587Z test_conv_backend_miopen2d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6753804Z test_conv_backend_miopen2d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6754012Z test_conv_backend_miopen3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6754222Z test_conv_backend_miopen3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6754430Z test_conv_backend_miopen3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6754636Z test_conv_backend_miopen3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6754871Z test_conv_backend_miopen3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6755077Z test_conv_backend_miopen3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6755279Z test_conv_backend_miopen3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6755507Z test_conv_backend_miopen3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6755730Z test_conv_backend_miopen3d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6755939Z test_conv_backend_miopen3d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6756162Z test_conv_backend_miopen3d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6756381Z test_conv_backend_miopen3d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6756599Z test_conv_backend_miopen3d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6756822Z test_conv_backend_miopen3d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6757041Z test_conv_backend_miopen3d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6757260Z test_conv_backend_miopen3d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6757479Z test_conv_backend_miopen_depthwise1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6757700Z test_conv_backend_miopen_depthwise1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6757922Z test_conv_backend_miopen_depthwise1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6758141Z test_conv_backend_miopen_depthwise1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6758343Z test_conv_backend_miopen_depthwise1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6758568Z test_conv_backend_miopen_depthwise1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6758787Z test_conv_backend_miopen_depthwise1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6759003Z test_conv_backend_miopen_depthwise1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.019s) 2022-12-01T10:40:47.6759222Z test_conv_backend_miopen_depthwise2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.016s) 2022-12-01T10:40:47.6759440Z test_conv_backend_miopen_depthwise2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6759683Z test_conv_backend_miopen_depthwise2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6759900Z test_conv_backend_miopen_depthwise2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6760119Z test_conv_backend_miopen_depthwise2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6760382Z test_conv_backend_miopen_depthwise2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6760602Z test_conv_backend_miopen_depthwise2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6760818Z test_conv_backend_miopen_depthwise2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6761032Z test_conv_backend_miopen_depthwise3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6761251Z test_conv_backend_miopen_depthwise3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6761468Z test_conv_backend_miopen_depthwise3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6761683Z test_conv_backend_miopen_depthwise3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6761899Z test_conv_backend_miopen_depthwise3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6762117Z test_conv_backend_miopen_depthwise3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6762338Z test_conv_backend_miopen_depthwise3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6762551Z test_conv_backend_miopen_depthwise3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6762756Z test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:40:47.6762961Z test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6763161Z test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6763350Z test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6763546Z test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6763745Z test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6763938Z test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6764134Z test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6764327Z test_conv_backend_mkldnn1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6764545Z test_conv_backend_mkldnn1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6764731Z test_conv_backend_mkldnn1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6764917Z test_conv_backend_mkldnn1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6765107Z test_conv_backend_mkldnn1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6765314Z test_conv_backend_mkldnn1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6765505Z test_conv_backend_mkldnn1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6765691Z test_conv_backend_mkldnn1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6765912Z test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6766132Z test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6766342Z test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6766558Z test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6766774Z test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6767109Z test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6767323Z test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6767539Z test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6767729Z test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6767932Z test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6768135Z test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6768330Z test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6768528Z test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:40:47.6768727Z test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6768995Z test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6769198Z test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6769390Z test_conv_backend_mkldnn2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6769580Z test_conv_backend_mkldnn2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6769820Z test_conv_backend_mkldnn2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6770009Z test_conv_backend_mkldnn2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6770198Z test_conv_backend_mkldnn2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6770383Z test_conv_backend_mkldnn2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6770601Z test_conv_backend_mkldnn2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6770813Z test_conv_backend_mkldnn2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6771036Z test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6771255Z test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6771463Z test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6771680Z test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6771902Z test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6772102Z test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6772312Z test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.020s) 2022-12-01T10:40:47.6772529Z test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6772733Z test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.035s) 2022-12-01T10:40:47.6772933Z test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.033s) 2022-12-01T10:40:47.6773135Z test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6773332Z test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6773528Z test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:40:47.6773729Z test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.035s) 2022-12-01T10:40:47.6773921Z test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:40:47.6774105Z test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:40:47.6774297Z test_conv_backend_mkldnn3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6774481Z test_conv_backend_mkldnn3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6774671Z test_conv_backend_mkldnn3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6774885Z test_conv_backend_mkldnn3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6775073Z test_conv_backend_mkldnn3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6775261Z test_conv_backend_mkldnn3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6775451Z test_conv_backend_mkldnn3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6775657Z test_conv_backend_mkldnn3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6775880Z test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6776086Z test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6776297Z test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6776511Z test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6776725Z test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6776936Z test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6777144Z test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6777364Z test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... expected failure (0.019s) 2022-12-01T10:40:47.6777566Z test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6777767Z test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6777969Z test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6778171Z test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6778361Z test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6778566Z test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6778765Z test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6778961Z test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6779163Z test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6779364Z test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6779565Z test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6779762Z test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6779989Z test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6780187Z test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6780383Z test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6780589Z test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6780795Z test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6780994Z test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6781197Z test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6781394Z test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6781594Z test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6781793Z test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6781990Z test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6782185Z test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6782399Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6782600Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6782812Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6783023Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6783233Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6783442Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6783653Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6783858Z test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6784070Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6784279Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6784492Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6784698Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6784919Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6785129Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6785339Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6785568Z test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6785778Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6785983Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6786196Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6786402Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6786605Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6786814Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6787023Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6787215Z test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6787424Z test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6787627Z test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6787831Z test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6788033Z test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6788234Z test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6788437Z test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6788638Z test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6788840Z test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6789047Z test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6789252Z test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6789440Z test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6789643Z test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6789874Z test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6790074Z test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6790271Z test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6790499Z test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6790707Z test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6790909Z test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6791109Z test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6791308Z test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6791497Z test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6791698Z test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6791897Z test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6792095Z test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6792297Z test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6792492Z test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6792681Z test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6792874Z test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6793073Z test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6793267Z test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6793462Z test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6793644Z test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6793854Z test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6794063Z test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6794275Z test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6794484Z test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6794693Z test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6794923Z test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6795127Z test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6795336Z test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6795548Z test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6795724Z test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6795910Z test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6796099Z test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6796284Z test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6796468Z test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6796651Z test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6796839Z test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6797041Z test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6797242Z test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6797438Z test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6797624Z test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6797819Z test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6798013Z test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6798203Z test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6798404Z test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6798599Z test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6798792Z test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6798983Z test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6799178Z test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6799378Z test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:40:47.6799560Z test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6799785Z test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6799977Z test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6800188Z test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6800397Z test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6800628Z test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6800837Z test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6801045Z test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6801249Z test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6801456Z test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:40:47.6801659Z test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:40:47.6801839Z test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6802025Z test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6802210Z test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6802398Z test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6802581Z test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6802765Z test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6802950Z test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6803136Z test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6803340Z test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:40:47.6803542Z test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:40:47.6803725Z test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6803925Z test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6804122Z test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6804316Z test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6804507Z test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:40:47.6804703Z test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6804931Z test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:40:47.6805122Z test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.033s) 2022-12-01T10:40:47.6805313Z test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:40:47.6805502Z test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:40:47.6805704Z test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:40:47.6805894Z test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:40:47.6806085Z test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6806272Z test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:40:47.6806487Z test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6806700Z test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6806908Z test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6807233Z test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6807449Z test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6807654Z test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6807853Z test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6808051Z test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.013s) 2022-12-01T10:40:47.6808251Z test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.035s) 2022-12-01T10:40:47.6808444Z test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:40:47.6808637Z test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6808831Z test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6809112Z test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:40:47.6809309Z test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:40:47.6809504Z test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:40:47.6809700Z test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:40:47.6809850Z test_conv_contiguous_for_oneDNN_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.203s) 2022-12-01T10:40:47.6810067Z test_conv_cudnn_mismatch_memory_format_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6810234Z test_conv_cudnn_ndhwc_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6810400Z test_conv_cudnn_ndhwc_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6810566Z test_conv_cudnn_nhwc_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6810731Z test_conv_cudnn_nhwc_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6810931Z test_conv_cudnn_nhwc_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6811110Z test_conv_cudnn_nhwc_support_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6811286Z test_conv_cudnn_nhwc_support_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6811460Z test_conv_double_backward_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6811841Z test_conv_double_backward_groups_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT run_conv_double_back_test test_nn.py line 11941 2022-12-01T10:40:47.6811904Z due to: 2022-12-01T10:40:47.6811994Z Traceback (most recent call last): 2022-12-01T10:40:47.6812151Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6812406Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6812695Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:40:47.6812702Z 2022-12-01T10:40:47.6812771Z from user code: 2022-12-01T10:40:47.6812888Z File "test_nn.py", line 11974, in run_conv_double_back_test 2022-12-01T10:40:47.6812956Z dummy_out = func(*inputs) 2022-12-01T10:40:47.6812972Z 2022-12-01T10:40:47.6813091Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6813152Z ========== 2022-12-01T10:40:47.6813362Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func test_nn.py line 11958 2022-12-01T10:40:47.6813424Z due to: 2022-12-01T10:40:47.6813513Z Traceback (most recent call last): 2022-12-01T10:40:47.6813669Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6813918Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6814195Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:40:47.6814201Z 2022-12-01T10:40:47.6814268Z from user code: 2022-12-01T10:40:47.6814362Z File "test_nn.py", line 11965, in func 2022-12-01T10:40:47.6814452Z with cudnn.flags(enabled=False): 2022-12-01T10:40:47.6814457Z 2022-12-01T10:40:47.6814586Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6814646Z ========== 2022-12-01T10:40:47.6814707Z ok (0.084s) 2022-12-01T10:40:47.6814855Z test_conv_double_backward_no_bias_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.069s) 2022-12-01T10:40:47.6814997Z test_conv_double_backward_stride_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.101s) 2022-12-01T10:40:47.6815176Z test_conv_double_backward_strided_with_3D_input_and_weight_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.052s) 2022-12-01T10:40:47.6815580Z test_conv_empty_channel_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op 2022-12-01T10:40:47.6815765Z warnings.warn("Initializing zero-element tensors is a no-op") 2022-12-01T10:40:47.6816077Z /opt/conda/lib/python3.7/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op 2022-12-01T10:40:47.6816257Z warnings.warn("Initializing zero-element tensors is a no-op") 2022-12-01T10:40:47.6816321Z ok (0.076s) 2022-12-01T10:40:47.6816714Z test_conv_empty_channel_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op 2022-12-01T10:40:47.6816885Z warnings.warn("Initializing zero-element tensors is a no-op") 2022-12-01T10:40:47.6817161Z /opt/conda/lib/python3.7/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op 2022-12-01T10:40:47.6817369Z warnings.warn("Initializing zero-element tensors is a no-op") 2022-12-01T10:40:47.6817435Z ok (0.049s) 2022-12-01T10:40:47.6817592Z test_conv_ic1_channels_last_for_oneDNN_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6817745Z test_conv_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6817910Z test_conv_large_nosplit_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6818063Z test_conv_noncontig_weights_and_bias_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6818208Z test_conv_noncontig_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.033s) 2022-12-01T10:40:47.6818536Z test_conv_thnn_nhwc_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_conv_thnn_nhwc test_nn.py line 16334 2022-12-01T10:40:47.6818601Z due to: 2022-12-01T10:40:47.6818693Z Traceback (most recent call last): 2022-12-01T10:40:47.6818851Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6819098Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6819387Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:40:47.6819395Z 2022-12-01T10:40:47.6819462Z from user code: 2022-12-01T10:40:47.6819572Z File "test_nn.py", line 16368, in test_conv_thnn_nhwc 2022-12-01T10:40:47.6819683Z with torch.backends.mkldnn.flags(enabled=False): 2022-12-01T10:40:47.6819687Z 2022-12-01T10:40:47.6819814Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6819875Z ========== 2022-12-01T10:40:47.6819938Z ok (0.257s) 2022-12-01T10:40:47.6820081Z test_conv_thnn_nhwc_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.059s) 2022-12-01T10:40:47.6820277Z test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.044s) 2022-12-01T10:40:47.6820469Z test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.135s) 2022-12-01T10:40:47.6820637Z test_conv_transposed_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6820808Z test_convert_conv2d_weight_memory_format_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6820996Z test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:40:47.6821154Z test_cross_entropy_label_smoothing_errors_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6821532Z test_cross_entropy_label_smoothing_weight_ignore_indices_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT check_equal test_nn.py line 17029 2022-12-01T10:40:47.6821596Z due to: 2022-12-01T10:40:47.6821688Z Traceback (most recent call last): 2022-12-01T10:40:47.6821951Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:40:47.6822184Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:40:47.6822824Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.index_put_.default(*(FakeTensor(FakeTensor(..., device='meta', size=(2,)), cpu), [FakeTensor(FakeTensor(..., device='meta', size=(2,), dtype=torch.bool), cpu)], tensor(0.)), **{}) 2022-12-01T10:40:47.6822830Z 2022-12-01T10:40:47.6822899Z from user code: 2022-12-01T10:40:47.6822988Z File "test_nn.py", line 17032, in check_equal 2022-12-01T10:40:47.6823063Z l1 = loss(inp1, targ1) 2022-12-01T10:40:47.6823068Z 2022-12-01T10:40:47.6823198Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6823284Z ========== 2022-12-01T10:40:47.6823349Z ok (0.035s) 2022-12-01T10:40:47.6823513Z test_cross_entropy_label_smoothing_with_probs_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.040s) 2022-12-01T10:40:47.6823700Z test_cross_entropy_large_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6823874Z test_cross_entropy_large_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6824063Z test_cross_entropy_large_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6824230Z test_cross_entropy_loss_index_target_unit_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:40:47.6824386Z test_cross_entropy_loss_one_hot_target_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.043s) 2022-12-01T10:40:47.6824559Z test_cross_entropy_loss_prob_target_all_reductions_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:40:47.6824760Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6824957Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:40:47.6825151Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:40:47.6825344Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:40:47.6825539Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6825720Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:40:47.6825889Z test_cross_entropy_loss_prob_target_unit_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:40:47.6826211Z test_ctc_loss_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ctc_after_softmax test_nn.py line 16131 2022-12-01T10:40:47.6826274Z due to: 2022-12-01T10:40:47.6826367Z Traceback (most recent call last): 2022-12-01T10:40:47.6826598Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2629, in ctc_loss 2022-12-01T10:40:47.6826771Z log_probs, targets, input_lengths, target_lengths, blank, _Reduction.get_enum(reduction), zero_infinity 2022-12-01T10:40:47.6827184Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:40:47.6827191Z 2022-12-01T10:40:47.6827324Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6827329Z 2022-12-01T10:40:47.6827419Z Traceback (most recent call last): 2022-12-01T10:40:47.6827563Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6827656Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6827762Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6827794Z 2022-12-01T10:40:47.6827862Z from user code: 2022-12-01T10:40:47.6827968Z File "test_nn.py", line 16135, in ctc_after_softmax 2022-12-01T10:40:47.6828127Z return torch.nn.functional.ctc_loss(log_probs, targets, input_lengths, target_lengths) 2022-12-01T10:40:47.6828133Z 2022-12-01T10:40:47.6828259Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6828309Z ========== 2022-12-01T10:40:47.6828373Z ok (0.355s) 2022-12-01T10:40:47.6828531Z test_ctc_loss_cudnn_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6828735Z test_cudnn_convolution_add_relu_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6828913Z test_cudnn_convolution_add_relu_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6829087Z test_cudnn_convolution_relu_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6829258Z test_cudnn_convolution_relu_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6829410Z test_device_mask_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6829553Z test_elu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6829691Z test_elu_inplace_with_neg_alpha_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:40:47.6829815Z test_fold_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.204s) 2022-12-01T10:40:47.6829944Z test_glu_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.276s) 2022-12-01T10:40:47.6830106Z test_grid_sample_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6830458Z test_grid_sample_large_index_2d_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 15117 2022-12-01T10:40:47.6830525Z due to: 2022-12-01T10:40:47.6830613Z Traceback (most recent call last): 2022-12-01T10:40:47.6830768Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6831006Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6831208Z AssertionError: torch.* op returned non-Tensor int call_method element_size 2022-12-01T10:40:47.6831213Z 2022-12-01T10:40:47.6831281Z from user code: 2022-12-01T10:40:47.6831379Z File "test_nn.py", line 15122, in 2022-12-01T10:40:47.6831485Z torch.tensor([], dtype=dtype).element_size()) 2022-12-01T10:40:47.6831490Z 2022-12-01T10:40:47.6831622Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6831684Z ========== 2022-12-01T10:40:47.6831746Z ok (7.465s) 2022-12-01T10:40:47.6831922Z test_grid_sample_large_index_2d_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Insufficient cpu memory (0.231s) 2022-12-01T10:40:47.6832268Z test_grid_sample_large_index_3d_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 15162 2022-12-01T10:40:47.6832332Z due to: 2022-12-01T10:40:47.6832420Z Traceback (most recent call last): 2022-12-01T10:40:47.6832574Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6832820Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6833023Z AssertionError: torch.* op returned non-Tensor int call_method element_size 2022-12-01T10:40:47.6833028Z 2022-12-01T10:40:47.6833096Z from user code: 2022-12-01T10:40:47.6833183Z File "test_nn.py", line 15167, in 2022-12-01T10:40:47.6833288Z torch.tensor([], dtype=dtype).element_size()) 2022-12-01T10:40:47.6833293Z 2022-12-01T10:40:47.6833420Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6833481Z ========== 2022-12-01T10:40:47.6833572Z ok (6.443s) 2022-12-01T10:40:47.6833757Z test_grid_sample_large_index_3d_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Insufficient cpu memory (0.235s) 2022-12-01T10:40:47.6833905Z test_grid_sample_nan_inf_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6834044Z test_grid_sample_nan_inf_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:40:47.6834182Z test_group_convTranspose_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6834319Z test_group_conv_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:40:47.6834695Z test_groupnorm_nhwc_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 13508 2022-12-01T10:40:47.6834760Z due to: 2022-12-01T10:40:47.6834849Z Traceback (most recent call last): 2022-12-01T10:40:47.6835063Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6835160Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6835505Z RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. 2022-12-01T10:40:47.6835511Z 2022-12-01T10:40:47.6835633Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6835649Z 2022-12-01T10:40:47.6835726Z Traceback (most recent call last): 2022-12-01T10:40:47.6835879Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6835972Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6836080Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6836084Z 2022-12-01T10:40:47.6836153Z from user code: 2022-12-01T10:40:47.6836267Z File "test_nn.py", line 13510, in 2022-12-01T10:40:47.6836335Z out = gn(input) 2022-12-01T10:40:47.6836340Z 2022-12-01T10:40:47.6836459Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6836519Z ========== 2022-12-01T10:40:47.6836584Z ok (0.379s) 2022-12-01T10:40:47.6836727Z test_groupnorm_nhwc_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.285s) 2022-12-01T10:40:47.6836869Z test_gumbel_softmax_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.712s) 2022-12-01T10:40:47.6837007Z test_gumbel_softmax_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.577s) 2022-12-01T10:40:47.6837147Z test_hardsigmoid_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:40:47.6837282Z test_hardswish_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:40:47.6837574Z test_hardswish_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:40:47.6837770Z test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:40:47.6837961Z test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6838294Z test_invalid_reduction_strings_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14158 2022-12-01T10:40:47.6838356Z due to: 2022-12-01T10:40:47.6838444Z Traceback (most recent call last): 2022-12-01T10:40:47.6838672Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6838812Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6838915Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6838933Z 2022-12-01T10:40:47.6838990Z from user code: 2022-12-01T10:40:47.6839086Z File "test_nn.py", line 14158, in 2022-12-01T10:40:47.6839210Z v(lambda: F.nll_loss(input, target, reduction=reduction)) 2022-12-01T10:40:47.6839216Z 2022-12-01T10:40:47.6839373Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6839435Z ========== 2022-12-01T10:40:47.6839646Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14159 2022-12-01T10:40:47.6839708Z due to: 2022-12-01T10:40:47.6839787Z Traceback (most recent call last): 2022-12-01T10:40:47.6840012Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6840153Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6840267Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6840272Z 2022-12-01T10:40:47.6840339Z from user code: 2022-12-01T10:40:47.6840459Z File "test_nn.py", line 14159, in 2022-12-01T10:40:47.6840588Z v(lambda: F.cross_entropy(input, target, reduction=reduction)) 2022-12-01T10:40:47.6840594Z 2022-12-01T10:40:47.6840721Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6840772Z ========== 2022-12-01T10:40:47.6840983Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14160 2022-12-01T10:40:47.6841044Z due to: 2022-12-01T10:40:47.6841133Z Traceback (most recent call last): 2022-12-01T10:40:47.6841360Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6841499Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6841613Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6841618Z 2022-12-01T10:40:47.6841675Z from user code: 2022-12-01T10:40:47.6841768Z File "test_nn.py", line 14160, in 2022-12-01T10:40:47.6841900Z v(lambda: F.multi_margin_loss(input, target, reduction=reduction)) 2022-12-01T10:40:47.6841906Z 2022-12-01T10:40:47.6842032Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6842093Z ========== 2022-12-01T10:40:47.6842302Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14162 2022-12-01T10:40:47.6842366Z due to: 2022-12-01T10:40:47.6842453Z Traceback (most recent call last): 2022-12-01T10:40:47.6842669Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6842805Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6842919Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6842923Z 2022-12-01T10:40:47.6842991Z from user code: 2022-12-01T10:40:47.6843085Z File "test_nn.py", line 14162, in 2022-12-01T10:40:47.6843203Z v(lambda: F.kl_div(input, input, reduction=reduction)) 2022-12-01T10:40:47.6843209Z 2022-12-01T10:40:47.6843339Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6843399Z ========== 2022-12-01T10:40:47.6843600Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14163 2022-12-01T10:40:47.6843661Z due to: 2022-12-01T10:40:47.6843750Z Traceback (most recent call last): 2022-12-01T10:40:47.6843975Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6844112Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6844225Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6844230Z 2022-12-01T10:40:47.6844299Z from user code: 2022-12-01T10:40:47.6844382Z File "test_nn.py", line 14163, in 2022-12-01T10:40:47.6844505Z v(lambda: F.huber_loss(input, input, reduction=reduction)) 2022-12-01T10:40:47.6844510Z 2022-12-01T10:40:47.6844636Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6844698Z ========== 2022-12-01T10:40:47.6844907Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14164 2022-12-01T10:40:47.6844967Z due to: 2022-12-01T10:40:47.6845054Z Traceback (most recent call last): 2022-12-01T10:40:47.6845271Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6845475Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6845587Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6845592Z 2022-12-01T10:40:47.6845659Z from user code: 2022-12-01T10:40:47.6845754Z File "test_nn.py", line 14164, in 2022-12-01T10:40:47.6845883Z v(lambda: F.smooth_l1_loss(input, input, reduction=reduction)) 2022-12-01T10:40:47.6845889Z 2022-12-01T10:40:47.6846013Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6846074Z ========== 2022-12-01T10:40:47.6846310Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14165 2022-12-01T10:40:47.6846361Z due to: 2022-12-01T10:40:47.6846447Z Traceback (most recent call last): 2022-12-01T10:40:47.6846667Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6846806Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6846922Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6846927Z 2022-12-01T10:40:47.6847113Z from user code: 2022-12-01T10:40:47.6847207Z File "test_nn.py", line 14165, in 2022-12-01T10:40:47.6847317Z v(lambda: F.l1_loss(input, input, reduction=reduction)) 2022-12-01T10:40:47.6847334Z 2022-12-01T10:40:47.6847450Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6847510Z ========== 2022-12-01T10:40:47.6847722Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14166 2022-12-01T10:40:47.6847786Z due to: 2022-12-01T10:40:47.6847879Z Traceback (most recent call last): 2022-12-01T10:40:47.6848105Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6848243Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6848345Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6848353Z 2022-12-01T10:40:47.6848421Z from user code: 2022-12-01T10:40:47.6848516Z File "test_nn.py", line 14166, in 2022-12-01T10:40:47.6848640Z v(lambda: F.l1_loss(cinput, cinput, reduction=reduction)) 2022-12-01T10:40:47.6848645Z 2022-12-01T10:40:47.6848773Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6848833Z ========== 2022-12-01T10:40:47.6849132Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14167 2022-12-01T10:40:47.6849194Z due to: 2022-12-01T10:40:47.6849271Z Traceback (most recent call last): 2022-12-01T10:40:47.6849499Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6849637Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6849752Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6849757Z 2022-12-01T10:40:47.6849827Z from user code: 2022-12-01T10:40:47.6849921Z File "test_nn.py", line 14167, in 2022-12-01T10:40:47.6850042Z v(lambda: F.mse_loss(input, input, reduction=reduction)) 2022-12-01T10:40:47.6850047Z 2022-12-01T10:40:47.6850162Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6850223Z ========== 2022-12-01T10:40:47.6850435Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14168 2022-12-01T10:40:47.6850496Z due to: 2022-12-01T10:40:47.6850585Z Traceback (most recent call last): 2022-12-01T10:40:47.6850809Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6850950Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6851063Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6851068Z 2022-12-01T10:40:47.6851124Z from user code: 2022-12-01T10:40:47.6851217Z File "test_nn.py", line 14168, in 2022-12-01T10:40:47.6851407Z v(lambda: F.hinge_embedding_loss(input, input, reduction=reduction)) 2022-12-01T10:40:47.6851412Z 2022-12-01T10:40:47.6851538Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6851600Z ========== 2022-12-01T10:40:47.6851811Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14169 2022-12-01T10:40:47.6851875Z due to: 2022-12-01T10:40:47.6851952Z Traceback (most recent call last): 2022-12-01T10:40:47.6852199Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2763, in poisson_nll_loss 2022-12-01T10:40:47.6852305Z raise ValueError(reduction + " is not valid") 2022-12-01T10:40:47.6852423Z ValueError: invalid is not valid 2022-12-01T10:40:47.6852429Z 2022-12-01T10:40:47.6852498Z from user code: 2022-12-01T10:40:47.6852592Z File "test_nn.py", line 14169, in 2022-12-01T10:40:47.6852724Z v(lambda: F.poisson_nll_loss(input, input, reduction=reduction)) 2022-12-01T10:40:47.6852729Z 2022-12-01T10:40:47.6852859Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6852910Z ========== 2022-12-01T10:40:47.6853122Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14170 2022-12-01T10:40:47.6853185Z due to: 2022-12-01T10:40:47.6853274Z Traceback (most recent call last): 2022-12-01T10:40:47.6853523Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2830, in gaussian_nll_loss 2022-12-01T10:40:47.6853629Z raise ValueError(reduction + " is not valid") 2022-12-01T10:40:47.6853716Z ValueError: invalid is not valid 2022-12-01T10:40:47.6853721Z 2022-12-01T10:40:47.6853789Z from user code: 2022-12-01T10:40:47.6853873Z File "test_nn.py", line 14170, in 2022-12-01T10:40:47.6854016Z v(lambda: F.gaussian_nll_loss(input, input, var, reduction=reduction)) 2022-12-01T10:40:47.6854021Z 2022-12-01T10:40:47.6854146Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6854206Z ========== 2022-12-01T10:40:47.6854416Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14171 2022-12-01T10:40:47.6854477Z due to: 2022-12-01T10:40:47.6854566Z Traceback (most recent call last): 2022-12-01T10:40:47.6854782Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6854920Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6855033Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6855038Z 2022-12-01T10:40:47.6855106Z from user code: 2022-12-01T10:40:47.6855200Z File "test_nn.py", line 14171, in 2022-12-01T10:40:47.6855357Z v(lambda: F.binary_cross_entropy(torch.sigmoid(input), input, reduction=reduction)) 2022-12-01T10:40:47.6855362Z 2022-12-01T10:40:47.6855487Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6855548Z ========== 2022-12-01T10:40:47.6855748Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14172 2022-12-01T10:40:47.6855812Z due to: 2022-12-01T10:40:47.6855901Z Traceback (most recent call last): 2022-12-01T10:40:47.6856127Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6856265Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6856376Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6856381Z 2022-12-01T10:40:47.6856447Z from user code: 2022-12-01T10:40:47.6856540Z File "test_nn.py", line 14172, in 2022-12-01T10:40:47.6856678Z v(lambda: F.binary_cross_entropy_with_logits(input, input, reduction=reduction)) 2022-12-01T10:40:47.6856683Z 2022-12-01T10:40:47.6856811Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6856873Z ========== 2022-12-01T10:40:47.6857083Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14175 2022-12-01T10:40:47.6857143Z due to: 2022-12-01T10:40:47.6857268Z Traceback (most recent call last): 2022-12-01T10:40:47.6857531Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 3457, in multilabel_soft_margin_loss 2022-12-01T10:40:47.6857625Z raise ValueError(reduction + " is not valid") 2022-12-01T10:40:47.6857713Z ValueError: invalid is not valid 2022-12-01T10:40:47.6857717Z 2022-12-01T10:40:47.6857783Z from user code: 2022-12-01T10:40:47.6857876Z File "test_nn.py", line 14175, in 2022-12-01T10:40:47.6858019Z v(lambda: F.multilabel_soft_margin_loss(input, zeros, reduction=reduction)) 2022-12-01T10:40:47.6858024Z 2022-12-01T10:40:47.6858150Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6858234Z ========== 2022-12-01T10:40:47.6858447Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14176 2022-12-01T10:40:47.6858498Z due to: 2022-12-01T10:40:47.6858586Z Traceback (most recent call last): 2022-12-01T10:40:47.6858812Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6858953Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6859066Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6859070Z 2022-12-01T10:40:47.6859139Z from user code: 2022-12-01T10:40:47.6859232Z File "test_nn.py", line 14176, in 2022-12-01T10:40:47.6859370Z v(lambda: F.multilabel_margin_loss(input, zeros, reduction=reduction)) 2022-12-01T10:40:47.6859375Z 2022-12-01T10:40:47.6859490Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6859554Z ========== 2022-12-01T10:40:47.6859766Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14178 2022-12-01T10:40:47.6859828Z due to: 2022-12-01T10:40:47.6859918Z Traceback (most recent call last): 2022-12-01T10:40:47.6860143Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6860282Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6860384Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6860401Z 2022-12-01T10:40:47.6860457Z from user code: 2022-12-01T10:40:47.6860550Z File "test_nn.py", line 14178, in 2022-12-01T10:40:47.6860691Z v(lambda: F.triplet_margin_loss(input, input, input, reduction=reduction)) 2022-12-01T10:40:47.6860696Z 2022-12-01T10:40:47.6860820Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6860880Z ========== 2022-12-01T10:40:47.6861089Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14179 2022-12-01T10:40:47.6861151Z due to: 2022-12-01T10:40:47.6861230Z Traceback (most recent call last): 2022-12-01T10:40:47.6861454Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6861590Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6861705Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6861710Z 2022-12-01T10:40:47.6861777Z from user code: 2022-12-01T10:40:47.6861873Z File "test_nn.py", line 14179, in 2022-12-01T10:40:47.6862027Z v(lambda: F.triplet_margin_with_distance_loss(input, input, input, reduction=reduction)) 2022-12-01T10:40:47.6862032Z 2022-12-01T10:40:47.6862156Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6862206Z ========== 2022-12-01T10:40:47.6862415Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14180 2022-12-01T10:40:47.6862477Z due to: 2022-12-01T10:40:47.6862565Z Traceback (most recent call last): 2022-12-01T10:40:47.6862790Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6862928Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6863041Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6863073Z 2022-12-01T10:40:47.6863140Z from user code: 2022-12-01T10:40:47.6863222Z File "test_nn.py", line 14180, in 2022-12-01T10:40:47.6863371Z v(lambda: F.margin_ranking_loss(input, input, input.sign(), reduction=reduction)) 2022-12-01T10:40:47.6863376Z 2022-12-01T10:40:47.6863501Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6863563Z ========== 2022-12-01T10:40:47.6863774Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14181 2022-12-01T10:40:47.6863835Z due to: 2022-12-01T10:40:47.6863924Z Traceback (most recent call last): 2022-12-01T10:40:47.6864162Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6864300Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6864412Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6864417Z 2022-12-01T10:40:47.6864486Z from user code: 2022-12-01T10:40:47.6864580Z File "test_nn.py", line 14181, in 2022-12-01T10:40:47.6864733Z v(lambda: F.cosine_embedding_loss(input, input, input[:, 0].sign(), reduction=reduction)) 2022-12-01T10:40:47.6864738Z 2022-12-01T10:40:47.6864866Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6864925Z ========== 2022-12-01T10:40:47.6865125Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14187 2022-12-01T10:40:47.6865185Z due to: 2022-12-01T10:40:47.6865273Z Traceback (most recent call last): 2022-12-01T10:40:47.6865496Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6865633Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6865748Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6865753Z 2022-12-01T10:40:47.6865820Z from user code: 2022-12-01T10:40:47.6865912Z File "test_nn.py", line 14187, in 2022-12-01T10:40:47.6866066Z v(lambda: F.ctc_loss(log_probs, targets, input_lengths, target_lengths, reduction=reduction)) 2022-12-01T10:40:47.6866072Z 2022-12-01T10:40:47.6866197Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6866258Z ========== 2022-12-01T10:40:47.6866470Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 14190 2022-12-01T10:40:47.6866531Z due to: 2022-12-01T10:40:47.6866620Z Traceback (most recent call last): 2022-12-01T10:40:47.6866843Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py", line 19, in get_enum 2022-12-01T10:40:47.6866972Z raise ValueError("{} is not a valid value for reduction".format(reduction)) 2022-12-01T10:40:47.6867085Z ValueError: invalid is not a valid value for reduction 2022-12-01T10:40:47.6867090Z 2022-12-01T10:40:47.6867155Z from user code: 2022-12-01T10:40:47.6867248Z File "test_nn.py", line 14190, in 2022-12-01T10:40:47.6867396Z v(lambda: F.soft_margin_loss(input, input.sign().detach(), reduction=reduction)) 2022-12-01T10:40:47.6867403Z 2022-12-01T10:40:47.6867532Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6867593Z ========== 2022-12-01T10:40:47.6867656Z ok (0.331s) 2022-12-01T10:40:47.6867820Z test_layernorm_half_precision_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6867987Z test_layernorm_weight_bias_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6868138Z test_leaky_relu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6868295Z test_leaky_relu_inplace_with_neg_slope_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:40:47.6868448Z test_leaky_relu_inplace_with_zero_slope_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.051s) 2022-12-01T10:40:47.6868578Z test_linear_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6868722Z test_log_softmax_big_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.073s) 2022-12-01T10:40:47.6868884Z test_logsigmoid_out_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:40:47.6869077Z test_lstmcell_backward_only_one_output_grad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6869235Z test_masked_softmax_TxT_layout_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6869368Z test_masked_softmax_cpu (__main__.TestNNDeviceTypeCPU) ... ok (9.447s) 2022-12-01T10:40:47.6869522Z test_masked_softmax_forward_with_nans_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.759s) 2022-12-01T10:40:47.6869687Z test_masked_softmax_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.174s) 2022-12-01T10:40:47.6869869Z test_masked_softmax_transformer_layout_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6870010Z test_mish_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:40:47.6870341Z test_module_to_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_nn.py line 17485 2022-12-01T10:40:47.6870404Z due to: 2022-12-01T10:40:47.6870483Z Traceback (most recent call last): 2022-12-01T10:40:47.6870732Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:40:47.6870818Z assert device.type != "meta" 2022-12-01T10:40:47.6870889Z AssertionError 2022-12-01T10:40:47.6870894Z 2022-12-01T10:40:47.6870962Z from user code: 2022-12-01T10:40:47.6871056Z File "test_nn.py", line 17486, in forward 2022-12-01T10:40:47.6871137Z return x @ self.weight 2022-12-01T10:40:47.6871142Z 2022-12-01T10:40:47.6871271Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6871321Z ========== 2022-12-01T10:40:47.6871384Z ok (0.013s) 2022-12-01T10:40:47.6871529Z test_module_to_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:40:47.6871863Z test_multi_margin_loss_errors_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 16285 2022-12-01T10:40:47.6871926Z due to: 2022-12-01T10:40:47.6872014Z Traceback (most recent call last): 2022-12-01T10:40:47.6872227Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6872310Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6874147Z NotImplementedError: Could not run 'aten::multi_margin_loss' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::multi_margin_loss' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:40:47.6874157Z 2022-12-01T10:40:47.6874328Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:40:47.6874566Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:40:47.6874752Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:40:47.6874977Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:40:47.6875215Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:40:47.6875401Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:40:47.6875586Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6875771Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:40:47.6875989Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:40:47.6876215Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:40:47.6876420Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6876618Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6876804Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6877000Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6877197Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6877392Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6877588Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6877781Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6877971Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6878165Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6878365Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6878564Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6878764Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6878972Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6879176Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6879391Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:40:47.6879566Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:40:47.6879731Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:40:47.6879901Z AutocastCUDA: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:328 [kernel] 2022-12-01T10:40:47.6880129Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:40:47.6880389Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:40:47.6880580Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:40:47.6880776Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:40:47.6880986Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:40:47.6881224Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:40:47.6881453Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:40:47.6881660Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:40:47.6881667Z 2022-12-01T10:40:47.6881672Z 2022-12-01T10:40:47.6881807Z During handling of the above exception, another exception occurred: 2022-12-01T10:40:47.6881813Z 2022-12-01T10:40:47.6881902Z Traceback (most recent call last): 2022-12-01T10:40:47.6882124Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6882224Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6882334Z RuntimeError: inconsistent target size, got: [3] 2022-12-01T10:40:47.6882339Z 2022-12-01T10:40:47.6882465Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6882472Z 2022-12-01T10:40:47.6882562Z Traceback (most recent call last): 2022-12-01T10:40:47.6882717Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6882810Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6882916Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6882921Z 2022-12-01T10:40:47.6882988Z from user code: 2022-12-01T10:40:47.6883082Z File "test_nn.py", line 16286, in 2022-12-01T10:40:47.6883169Z torch.zeros(3, device=device))) 2022-12-01T10:40:47.6883174Z 2022-12-01T10:40:47.6883290Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6883398Z ========== 2022-12-01T10:40:47.6883463Z ok (0.083s) 2022-12-01T10:40:47.6883654Z test_multihead_attention_dtype_batch_first_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6883848Z test_multihead_attention_dtype_batch_first_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6884032Z test_multihead_attention_dtype_batch_first_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6884209Z test_multihead_attention_dtype_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6884389Z test_multihead_attention_dtype_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6884554Z test_multihead_attention_dtype_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6884748Z test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:40:47.6884915Z test_multihead_attn_fast_path_small_test_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:40:47.6885080Z test_multihead_attn_in_proj_bias_none_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6885246Z test_multihead_attn_in_proj_weight_none_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:40:47.6885388Z test_nll_loss_all_ignored_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.249s) 2022-12-01T10:40:47.6885541Z test_nll_loss_byte_target_matches_long_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.144s) 2022-12-01T10:40:47.6885742Z test_nll_loss_empty_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.269s) 2022-12-01T10:40:47.6885902Z test_nll_loss_empty_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.184s) 2022-12-01T10:40:47.6886048Z test_nll_loss_empty_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.101s) 2022-12-01T10:40:47.6886197Z test_nll_loss_invalid_target_dim_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:40:47.6886342Z test_nll_loss_invalid_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6886547Z test_nll_loss_large_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6886727Z test_nll_loss_large_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6886905Z test_nll_loss_large_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6887187Z test_nll_loss_mismatched_batch_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6887344Z test_nll_loss_out_of_bounds_ignore_index_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:40:47.6887493Z test_nll_loss_total_weight_is_zero_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.262s) 2022-12-01T10:40:47.6887607Z test_nn_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.149s) 2022-12-01T10:40:47.6887737Z test_nn_scalars_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.169s) 2022-12-01T10:40:47.6887881Z test_nn_scalars_reductions_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.224s) 2022-12-01T10:40:47.6888054Z test_noncontig_conv_grad_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6888227Z test_noncontig_conv_grad_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6888400Z test_noncontig_conv_grad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6888844Z test_nonlinearity_propagate_nan_cpu (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1956: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead. 2022-12-01T10:40:47.6889058Z warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.") 2022-12-01T10:40:47.6889391Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1967: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-12-01T10:40:47.6889540Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-12-01T10:40:47.6889608Z ok (0.140s) 2022-12-01T10:40:47.6889734Z test_one_hot_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.040s) 2022-12-01T10:40:47.6889930Z test_overwrite_module_params_on_conversion_cpu_device_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6890251Z test_pad_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 13562 2022-12-01T10:40:47.6890316Z due to: 2022-12-01T10:40:47.6890407Z Traceback (most recent call last): 2022-12-01T10:40:47.6890564Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6890658Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6890792Z RuntimeError: Padding value causes wrapping around more than once. 2022-12-01T10:40:47.6890798Z 2022-12-01T10:40:47.6890931Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6890936Z 2022-12-01T10:40:47.6891028Z Traceback (most recent call last): 2022-12-01T10:40:47.6891182Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6891277Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6891382Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6891449Z 2022-12-01T10:40:47.6891520Z from user code: 2022-12-01T10:40:47.6891605Z File "test_nn.py", line 13562, in 2022-12-01T10:40:47.6891821Z self.assertRaises(RuntimeError, lambda: F.pad(inputs, (5, 4), mode='circular')) 2022-12-01T10:40:47.6891826Z 2022-12-01T10:40:47.6891956Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6892019Z ========== 2022-12-01T10:40:47.6892231Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 13563 2022-12-01T10:40:47.6892295Z due to: 2022-12-01T10:40:47.6892382Z Traceback (most recent call last): 2022-12-01T10:40:47.6892563Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6892670Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6892804Z RuntimeError: Padding value causes wrapping around more than once. 2022-12-01T10:40:47.6892809Z 2022-12-01T10:40:47.6892940Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6892947Z 2022-12-01T10:40:47.6893038Z Traceback (most recent call last): 2022-12-01T10:40:47.6893194Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6893286Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6893393Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6893398Z 2022-12-01T10:40:47.6893464Z from user code: 2022-12-01T10:40:47.6893547Z File "test_nn.py", line 13563, in 2022-12-01T10:40:47.6893760Z self.assertRaises(RuntimeError, lambda: F.pad(inputs, (3, 6), mode='circular')) 2022-12-01T10:40:47.6893765Z 2022-12-01T10:40:47.6893896Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6893954Z ========== 2022-12-01T10:40:47.6894167Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 13565 2022-12-01T10:40:47.6894231Z due to: 2022-12-01T10:40:47.6894320Z Traceback (most recent call last): 2022-12-01T10:40:47.6894465Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6894568Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6894709Z RuntimeError: Negative padding value is resulting in an empty dimension 2022-12-01T10:40:47.6894714Z 2022-12-01T10:40:47.6894847Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6894852Z 2022-12-01T10:40:47.6894941Z Traceback (most recent call last): 2022-12-01T10:40:47.6895093Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6895187Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6895294Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6895298Z 2022-12-01T10:40:47.6895354Z from user code: 2022-12-01T10:40:47.6895449Z File "test_nn.py", line 13565, in 2022-12-01T10:40:47.6895665Z self.assertRaises(RuntimeError, lambda: F.pad(inputs, (-3, -2), mode='circular')) 2022-12-01T10:40:47.6895671Z 2022-12-01T10:40:47.6895799Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6895860Z ========== 2022-12-01T10:40:47.6896070Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 13574 2022-12-01T10:40:47.6896132Z due to: 2022-12-01T10:40:47.6896221Z Traceback (most recent call last): 2022-12-01T10:40:47.6896422Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6896518Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6896742Z RuntimeError: Argument #4: Padding size should be less than the corresponding input dimension, but got: padding (2, 1) at dimension 2 of input [1, 1, 2] 2022-12-01T10:40:47.6896748Z 2022-12-01T10:40:47.6896881Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6896885Z 2022-12-01T10:40:47.6896974Z Traceback (most recent call last): 2022-12-01T10:40:47.6897127Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6897249Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6897354Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6897358Z 2022-12-01T10:40:47.6897414Z from user code: 2022-12-01T10:40:47.6897509Z File "test_nn.py", line 13574, in 2022-12-01T10:40:47.6897659Z lambda: F.pad(inputs, (2, 1), mode='reflect')) 2022-12-01T10:40:47.6897664Z 2022-12-01T10:40:47.6897789Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6897850Z ========== 2022-12-01T10:40:47.6897913Z ok (0.201s) 2022-12-01T10:40:47.6898045Z test_pad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.148s) 2022-12-01T10:40:47.6898248Z test_prelu_backward_32bit_indexing_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6898400Z test_rnn_fused_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.004s) 2022-12-01T10:40:47.6898558Z test_rnn_fused_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:40:47.6898710Z test_rnn_retain_variables_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.392s) 2022-12-01T10:40:47.6898855Z test_save_lstm_compatibility_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.133s) 2022-12-01T10:40:47.6898997Z test_silu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6899335Z test_skip_init_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 17508 2022-12-01T10:40:47.6899399Z due to: 2022-12-01T10:40:47.6899486Z Traceback (most recent call last): 2022-12-01T10:40:47.6899702Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:40:47.6899830Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:40:47.6900000Z NotImplementedError: argument of type: 2022-12-01T10:40:47.6900007Z 2022-12-01T10:40:47.6900076Z from user code: 2022-12-01T10:40:47.6900198Z File "test_nn.py", line 17511, in 2022-12-01T10:40:47.6900347Z m_uninitialized = torch.nn.utils.skip_init(torch.nn.Linear, 5, 1, device=device) 2022-12-01T10:40:47.6900353Z 2022-12-01T10:40:47.6900482Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6900542Z ========== 2022-12-01T10:40:47.6900595Z ok (0.019s) 2022-12-01T10:40:47.6900738Z test_smooth_l1_loss_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.557s) 2022-12-01T10:40:47.6900886Z test_smooth_l1_loss_vs_huber_loss_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.112s) 2022-12-01T10:40:47.6901062Z test_softmax_64bit_indexing_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6901200Z test_softmax_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.038s) 2022-12-01T10:40:47.6901358Z test_softmax_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6901514Z test_softmax_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6901657Z test_softmax_results_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.488s) 2022-12-01T10:40:47.6901794Z test_softplus_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:40:47.6901939Z test_softplus_low_threshold_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:40:47.6902069Z test_softshrink_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.035s) 2022-12-01T10:40:47.6902217Z test_softshrink_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6902358Z test_softshrink_negative_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:40:47.6902508Z test_threshold_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:40:47.6903334Z test_to_complex_cpu (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6903524Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6904282Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:976: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-12-01T10:40:47.6904435Z "Complex modules are a new feature under active development whose design may change, " 2022-12-01T10:40:47.6904887Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:985: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:250.) 2022-12-01T10:40:47.6905047Z return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) 2022-12-01T10:40:47.6905100Z ok (0.160s) 2022-12-01T10:40:47.6905262Z test_transformerencoderlayer_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.278s) 2022-12-01T10:40:47.6905440Z test_transformerencoderlayer_fast_path_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.078s) 2022-12-01T10:40:47.6905610Z test_transformerencoderlayer_gelu_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.273s) 2022-12-01T10:40:47.6905957Z test_triplet_margin_with_distance_loss_cpu (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 17448 2022-12-01T10:40:47.6906022Z due to: 2022-12-01T10:40:47.6906112Z Traceback (most recent call last): 2022-12-01T10:40:47.6906336Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:40:47.6906511Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:40:47.6906699Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:40:47.6906704Z 2022-12-01T10:40:47.6906773Z from user code: 2022-12-01T10:40:47.6906869Z File "test_nn.py", line 17449, in 2022-12-01T10:40:47.6906968Z a, p, n), (anchor, positive, negative))) 2022-12-01T10:40:47.6906973Z 2022-12-01T10:40:47.6907102Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6907163Z ========== 2022-12-01T10:40:47.6907226Z ok (4.449s) 2022-12-01T10:40:47.6907391Z test_triplet_margin_with_distance_loss_default_parity_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.203s) 2022-12-01T10:40:47.6907593Z test_upsamplingBicubic2d_aa_correctness_memory_format_torch_channels_last_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:40:47.6907801Z test_upsamplingBicubic2d_aa_correctness_memory_format_torch_contiguous_format_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:40:47.6907990Z test_upsamplingBicubic2d_antialias_False_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6908175Z test_upsamplingBicubic2d_antialias_False_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:40:47.6908359Z test_upsamplingBicubic2d_antialias_True_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:40:47.6908544Z test_upsamplingBicubic2d_antialias_True_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:40:47.6908705Z test_upsamplingBicubic2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:40:47.6908907Z test_upsamplingBilinear2d_aa_correctness_memory_format_torch_channels_last_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:40:47.6909135Z test_upsamplingBilinear2d_aa_correctness_memory_format_torch_contiguous_format_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:40:47.6909325Z test_upsamplingBilinear2d_antialias_False_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.206s) 2022-12-01T10:40:47.6909512Z test_upsamplingBilinear2d_antialias_False_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.053s) 2022-12-01T10:40:47.6909695Z test_upsamplingBilinear2d_antialias_True_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.044s) 2022-12-01T10:40:47.6909906Z test_upsamplingBilinear2d_antialias_True_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.044s) 2022-12-01T10:40:47.6910071Z test_upsamplingNearest1d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.134s) 2022-12-01T10:40:47.6910217Z test_upsamplingNearest1d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.214s) 2022-12-01T10:40:47.6910402Z test_upsamplingNearest1d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6910562Z test_upsamplingNearest2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (5.852s) 2022-12-01T10:40:47.6910697Z test_upsamplingNearest2d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.674s) 2022-12-01T10:40:47.6910879Z test_upsamplingNearest2d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6911060Z test_upsamplingNearest2d_launch_fail_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6911244Z test_upsamplingNearest2d_launch_rocm_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6911407Z test_upsamplingNearest3d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (119.315s) 2022-12-01T10:40:47.6911554Z test_upsamplingNearest3d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.713s) 2022-12-01T10:40:47.6911737Z test_upsamplingNearest3d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:40:47.6911911Z test_upsamplingNearestExact1d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.134s) 2022-12-01T10:40:47.6912075Z test_upsamplingNearestExact1d_rescale_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:40:47.6912235Z test_upsamplingNearestExact2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (5.617s) 2022-12-01T10:40:47.6912407Z test_upsamplingNearestExact3d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (121.856s) 2022-12-01T10:40:47.6912777Z test_variable_sequence_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn.py line 16191 2022-12-01T10:40:47.6912839Z due to: 2022-12-01T10:40:47.6912930Z Traceback (most recent call last): 2022-12-01T10:40:47.6913146Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:40:47.6913243Z return self._op(*args, **kwargs or {}) 2022-12-01T10:40:47.6913471Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:40:47.6913476Z 2022-12-01T10:40:47.6913599Z The above exception was the direct cause of the following exception: 2022-12-01T10:40:47.6913604Z 2022-12-01T10:40:47.6913693Z Traceback (most recent call last): 2022-12-01T10:40:47.6913847Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:40:47.6913940Z raise TorchRuntimeError() from e 2022-12-01T10:40:47.6914047Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:40:47.6914054Z 2022-12-01T10:40:47.6914123Z from user code: 2022-12-01T10:40:47.6914245Z File "test_nn.py", line 16215, in 2022-12-01T10:40:47.6914397Z packed = rnn_utils.pack_padded_sequence(x, lengths, enforce_sorted=enforce_sorted) 2022-12-01T10:40:47.6914433Z 2022-12-01T10:40:47.6914553Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6914614Z ========== 2022-12-01T10:40:47.6914682Z ok (0.794s) 2022-12-01T10:40:47.6914858Z test_warp_softmax_64bit_indexing_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6915033Z test_warp_softmax_64bit_indexing_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:40:47.6915374Z test_calculate_gain_leaky_relu (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_calculate_gain_leaky_relu test_nn.py line 11081 2022-12-01T10:40:47.6915437Z due to: 2022-12-01T10:40:47.6915554Z Traceback (most recent call last): 2022-12-01T10:40:47.6915698Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6915949Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6916215Z AssertionError: torch.* op returned non-Tensor float call_function 2022-12-01T10:40:47.6916220Z 2022-12-01T10:40:47.6916288Z from user code: 2022-12-01T10:40:47.6916410Z File "test_nn.py", line 11083, in test_calculate_gain_leaky_relu 2022-12-01T10:40:47.6916566Z gain = init.calculate_gain('leaky_relu', param) 2022-12-01T10:40:47.6916572Z 2022-12-01T10:40:47.6916699Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6916761Z ========== 2022-12-01T10:40:47.6916816Z ok (0.052s) 2022-12-01T10:40:47.6916968Z test_calculate_gain_leaky_relu_only_accepts_numbers (__main__.TestNNInit) ... ok (0.006s) 2022-12-01T10:40:47.6917296Z test_calculate_gain_linear (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_calculate_gain_linear test_nn.py line 11062 2022-12-01T10:40:47.6917358Z due to: 2022-12-01T10:40:47.6917448Z Traceback (most recent call last): 2022-12-01T10:40:47.6917601Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6917852Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6918114Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:40:47.6918119Z 2022-12-01T10:40:47.6918178Z from user code: 2022-12-01T10:40:47.6918299Z File "test_nn.py", line 11064, in test_calculate_gain_linear 2022-12-01T10:40:47.6918384Z gain = init.calculate_gain(fn) 2022-12-01T10:40:47.6918389Z 2022-12-01T10:40:47.6918518Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6918585Z ========== 2022-12-01T10:40:47.6918650Z ok (0.002s) 2022-12-01T10:40:47.6918987Z test_calculate_gain_nonlinear (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_calculate_gain_nonlinear test_nn.py line 11067 2022-12-01T10:40:47.6919048Z due to: 2022-12-01T10:40:47.6919128Z Traceback (most recent call last): 2022-12-01T10:40:47.6919281Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:40:47.6919528Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:40:47.6919786Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:40:47.6919791Z 2022-12-01T10:40:47.6919858Z from user code: 2022-12-01T10:40:47.6919978Z File "test_nn.py", line 11069, in test_calculate_gain_nonlinear 2022-12-01T10:40:47.6920065Z gain = init.calculate_gain(fn) 2022-12-01T10:40:47.6920070Z 2022-12-01T10:40:47.6920197Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6920247Z ========== 2022-12-01T10:40:47.6920309Z ok (0.003s) 2022-12-01T10:40:47.6920467Z test_calculate_gain_only_accepts_valid_nonlinearities (__main__.TestNNInit) ... ok (0.007s) 2022-12-01T10:40:47.6920783Z test_constant (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_constant test_nn.py line 11136 2022-12-01T10:40:47.6920846Z due to: 2022-12-01T10:40:47.6920933Z Traceback (most recent call last): 2022-12-01T10:40:47.6921090Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6921195Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6921410Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6921415Z 2022-12-01T10:40:47.6921483Z from user code: 2022-12-01T10:40:47.6921584Z File "test_nn.py", line 11138, in test_constant 2022-12-01T10:40:47.6921746Z input_tensor = self._create_random_nd_tensor(dims, size_min=1, size_max=5) 2022-12-01T10:40:47.6921753Z 2022-12-01T10:40:47.6921882Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6921943Z ========== 2022-12-01T10:40:47.6922183Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _create_random_nd_tensor test_nn.py line 11054 2022-12-01T10:40:47.6922247Z due to: 2022-12-01T10:40:47.6922324Z Traceback (most recent call last): 2022-12-01T10:40:47.6922480Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6922583Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6922807Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6922812Z 2022-12-01T10:40:47.6922880Z from user code: 2022-12-01T10:40:47.6922994Z File "test_nn.py", line 11056, in _create_random_nd_tensor 2022-12-01T10:40:47.6923078Z tensor = torch.zeros(size) 2022-12-01T10:40:47.6923085Z 2022-12-01T10:40:47.6923202Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6923263Z ========== 2022-12-01T10:40:47.6923326Z ok (0.058s) 2022-12-01T10:40:47.6923438Z test_deprecation (__main__.TestNNInit) ... ok (0.037s) 2022-12-01T10:40:47.6923555Z test_dirac_identity (__main__.TestNNInit) ... ok (0.081s) 2022-12-01T10:40:47.6923686Z test_dirac_only_works_on_3_4_5d_inputs (__main__.TestNNInit) ... ok (0.006s) 2022-12-01T10:40:47.6923806Z test_dirac_properties (__main__.TestNNInit) ... ok (0.028s) 2022-12-01T10:40:47.6924078Z test_eye (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_eye test_nn.py line 11152 2022-12-01T10:40:47.6924130Z due to: 2022-12-01T10:40:47.6924219Z Traceback (most recent call last): 2022-12-01T10:40:47.6924375Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6924479Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6924706Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6924710Z 2022-12-01T10:40:47.6924778Z from user code: 2022-12-01T10:40:47.6924874Z File "test_nn.py", line 11153, in test_eye 2022-12-01T10:40:47.6924991Z input_tensor = self._create_random_nd_tensor(2, size_min=1, size_max=5) 2022-12-01T10:40:47.6925009Z 2022-12-01T10:40:47.6925125Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6925186Z ========== 2022-12-01T10:40:47.6925248Z ok (0.007s) 2022-12-01T10:40:47.6925375Z test_eye_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.006s) 2022-12-01T10:40:47.6925682Z test_kaiming_normal (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_kaiming_normal test_nn.py line 11349 2022-12-01T10:40:47.6925745Z due to: 2022-12-01T10:40:47.6925835Z Traceback (most recent call last): 2022-12-01T10:40:47.6925979Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6926081Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6926304Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6926309Z 2022-12-01T10:40:47.6926377Z from user code: 2022-12-01T10:40:47.6926526Z File "test_nn.py", line 11354, in test_kaiming_normal 2022-12-01T10:40:47.6926662Z input_tensor = self._create_random_nd_tensor(dims, size_min=20, size_max=25) 2022-12-01T10:40:47.6926667Z 2022-12-01T10:40:47.6926794Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6926852Z ========== 2022-12-01T10:40:47.6926904Z ok (0.606s) 2022-12-01T10:40:47.6927170Z test_kaiming_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.007s) 2022-12-01T10:40:47.6927316Z test_kaiming_normal_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.016s) 2022-12-01T10:40:47.6927668Z test_kaiming_uniform (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_kaiming_uniform test_nn.py line 11321 2022-12-01T10:40:47.6927733Z due to: 2022-12-01T10:40:47.6927822Z Traceback (most recent call last): 2022-12-01T10:40:47.6927977Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6928083Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6928299Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6928304Z 2022-12-01T10:40:47.6928372Z from user code: 2022-12-01T10:40:47.6928481Z File "test_nn.py", line 11326, in test_kaiming_uniform 2022-12-01T10:40:47.6928616Z input_tensor = self._create_random_nd_tensor(dims, size_min=20, size_max=25) 2022-12-01T10:40:47.6928621Z 2022-12-01T10:40:47.6928747Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6928807Z ========== 2022-12-01T10:40:47.6928974Z ok (0.557s) 2022-12-01T10:40:47.6929132Z test_kaiming_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.006s) 2022-12-01T10:40:47.6929265Z test_kaiming_uniform_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.016s) 2022-12-01T10:40:47.6929547Z test_normal (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_normal test_nn.py line 11114 2022-12-01T10:40:47.6929612Z due to: 2022-12-01T10:40:47.6929700Z Traceback (most recent call last): 2022-12-01T10:40:47.6929855Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6929959Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6930190Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6930196Z 2022-12-01T10:40:47.6930264Z from user code: 2022-12-01T10:40:47.6930352Z File "test_nn.py", line 11117, in test_normal 2022-12-01T10:40:47.6930486Z input_tensor = self._create_random_nd_tensor(dims, size_min=30, size_max=50) 2022-12-01T10:40:47.6930493Z 2022-12-01T10:40:47.6930621Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6930682Z ========== 2022-12-01T10:40:47.6930749Z ok (0.425s) 2022-12-01T10:40:47.6931052Z test_ones_and_zeros (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_ones_and_zeros test_nn.py line 11144 2022-12-01T10:40:47.6931117Z due to: 2022-12-01T10:40:47.6931195Z Traceback (most recent call last): 2022-12-01T10:40:47.6931351Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6931455Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6931676Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6931681Z 2022-12-01T10:40:47.6931751Z from user code: 2022-12-01T10:40:47.6931857Z File "test_nn.py", line 11147, in test_ones_and_zeros 2022-12-01T10:40:47.6931996Z input_tensor = self._create_random_nd_tensor(dims, size_min=1, size_max=5) 2022-12-01T10:40:47.6932001Z 2022-12-01T10:40:47.6932124Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6932174Z ========== 2022-12-01T10:40:47.6932236Z ok (0.009s) 2022-12-01T10:40:47.6932346Z test_orthogonal (__main__.TestNNInit) ... ok (0.040s) 2022-12-01T10:40:47.6932708Z test_sparse_default_std (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse_default_std test_nn.py line 11383 2022-12-01T10:40:47.6932770Z due to: 2022-12-01T10:40:47.6932861Z Traceback (most recent call last): 2022-12-01T10:40:47.6933016Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6933118Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6933331Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6933335Z 2022-12-01T10:40:47.6933402Z from user code: 2022-12-01T10:40:47.6933568Z File "test_nn.py", line 11386, in test_sparse_default_std 2022-12-01T10:40:47.6933701Z input_tensor = self._create_random_nd_tensor(2, size_min=30, size_max=35) 2022-12-01T10:40:47.6933706Z 2022-12-01T10:40:47.6933833Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6933896Z ========== 2022-12-01T10:40:47.6933960Z ok (0.011s) 2022-12-01T10:40:47.6934079Z test_sparse_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.006s) 2022-12-01T10:40:47.6934377Z test_trunc_normal (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_trunc_normal test_nn.py line 11124 2022-12-01T10:40:47.6934442Z due to: 2022-12-01T10:40:47.6934531Z Traceback (most recent call last): 2022-12-01T10:40:47.6934688Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6934794Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6935024Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6935030Z 2022-12-01T10:40:47.6935099Z from user code: 2022-12-01T10:40:47.6935194Z File "test_nn.py", line 11127, in test_trunc_normal 2022-12-01T10:40:47.6935332Z input_tensor = self._create_random_nd_tensor(dims, size_min=30, size_max=50) 2022-12-01T10:40:47.6935339Z 2022-12-01T10:40:47.6935467Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6935528Z ========== 2022-12-01T10:40:47.6935593Z ok (113.152s) 2022-12-01T10:40:47.6935871Z test_uniform (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_uniform test_nn.py line 11105 2022-12-01T10:40:47.6935936Z due to: 2022-12-01T10:40:47.6936027Z Traceback (most recent call last): 2022-12-01T10:40:47.6936170Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6936274Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6936498Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6936503Z 2022-12-01T10:40:47.6936570Z from user code: 2022-12-01T10:40:47.6936667Z File "test_nn.py", line 11108, in test_uniform 2022-12-01T10:40:47.6936802Z input_tensor = self._create_random_nd_tensor(dims, size_min=30, size_max=50) 2022-12-01T10:40:47.6936809Z 2022-12-01T10:40:47.6936934Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6936995Z ========== 2022-12-01T10:40:47.6937048Z ok (0.368s) 2022-12-01T10:40:47.6937348Z test_xavier_normal (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_xavier_normal test_nn.py line 11277 2022-12-01T10:40:47.6937409Z due to: 2022-12-01T10:40:47.6937499Z Traceback (most recent call last): 2022-12-01T10:40:47.6937653Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6937756Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6937982Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6937988Z 2022-12-01T10:40:47.6938056Z from user code: 2022-12-01T10:40:47.6938153Z File "test_nn.py", line 11281, in test_xavier_normal 2022-12-01T10:40:47.6938286Z input_tensor = self._create_random_nd_tensor(dims, size_min=20, size_max=25) 2022-12-01T10:40:47.6938316Z 2022-12-01T10:40:47.6938444Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6938503Z ========== 2022-12-01T10:40:47.6938565Z ok (0.118s) 2022-12-01T10:40:47.6938714Z test_xavier_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.009s) 2022-12-01T10:40:47.6939019Z test_xavier_uniform (__main__.TestNNInit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_xavier_uniform test_nn.py line 11254 2022-12-01T10:40:47.6939069Z due to: 2022-12-01T10:40:47.6939158Z Traceback (most recent call last): 2022-12-01T10:40:47.6939337Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:40:47.6939441Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:40:47.6939666Z TypeError: zeros(): argument 'size' (position 1) must be tuple of SymInts, not immutable_list 2022-12-01T10:40:47.6939671Z 2022-12-01T10:40:47.6939739Z from user code: 2022-12-01T10:40:47.6939849Z File "test_nn.py", line 11258, in test_xavier_uniform 2022-12-01T10:40:47.6939985Z input_tensor = self._create_random_nd_tensor(dims, size_min=20, size_max=25) 2022-12-01T10:40:47.6939991Z 2022-12-01T10:40:47.6940104Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6940162Z ========== 2022-12-01T10:40:47.6940226Z ok (0.096s) 2022-12-01T10:40:47.6940377Z test_xavier_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.009s) 2022-12-01T10:40:47.6940524Z test_load_state_dict_module_pre_hook (__main__.TestStateDictHooks) ... ok (0.031s) 2022-12-01T10:40:47.6940881Z test_load_state_dict_post_hook (__main__.TestStateDictHooks) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT load_hook_clear_incompatible test_nn.py line 18888 2022-12-01T10:40:47.6940946Z due to: 2022-12-01T10:40:47.6941035Z Traceback (most recent call last): 2022-12-01T10:40:47.6941185Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:40:47.6941301Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:40:47.6941457Z AssertionError: expected FunctionType found itemgetter operator.itemgetter(0) 2022-12-01T10:40:47.6941462Z 2022-12-01T10:40:47.6941529Z from user code: 2022-12-01T10:40:47.6941649Z File "test_nn.py", line 18889, in load_hook_clear_incompatible 2022-12-01T10:40:47.6941750Z incompatible_keys.missing_keys.clear() 2022-12-01T10:40:47.6941755Z 2022-12-01T10:40:47.6941883Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:40:47.6941941Z ========== 2022-12-01T10:40:47.6941993Z ok (0.019s) 2022-12-01T10:40:47.6942164Z test_load_state_dict_post_hook_backward_compatibility (__main__.TestStateDictHooks) ... ok (0.024s) 2022-12-01T10:40:47.6942302Z test_load_state_dict_pre_hook (__main__.TestStateDictHooks) ... ok (0.155s) 2022-12-01T10:40:47.6942434Z test_no_extra_ref_to_module (__main__.TestStateDictHooks) ... ok (0.006s) 2022-12-01T10:40:47.6942560Z test_pickled_hook (__main__.TestStateDictHooks) ... ok (0.023s) 2022-12-01T10:40:47.6942565Z 2022-12-01T10:40:47.6942762Z ---------------------------------------------------------------------- 2022-12-01T10:40:47.6942837Z Ran 3018 tests in 531.773s 2022-12-01T10:40:47.6942842Z 2022-12-01T10:40:47.6942937Z OK (skipped=1372, expected failures=27) 2022-12-01T10:40:47.6942942Z 2022-12-01T10:40:47.6943011Z Generating XML reports... 2022-12-01T10:40:47.6943269Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestAddRelu-20221201103153.xml 2022-12-01T10:40:47.6943544Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20221201103153.xml 2022-12-01T10:40:47.6943824Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20221201103153.xml 2022-12-01T10:40:47.6944086Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionEval-20221201103153.xml 2022-12-01T10:40:47.6944349Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestLazyModules-20221201103153.xml 2022-12-01T10:40:47.6944661Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestModuleGlobalHooks-20221201103153.xml 2022-12-01T10:40:47.6944898Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNN-20221201103153.xml 2022-12-01T10:40:47.6945177Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNDeviceTypeCPU-20221201103153.xml 2022-12-01T10:40:47.6945414Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNInit-20221201103153.xml 2022-12-01T10:40:47.6945685Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestStateDictHooks-20221201103153.xml 2022-12-01T10:40:47.6945715Z 2022-12-01T10:40:47.6946087Z ##[endgroup] 2022-12-01T10:40:47.6946340Z FINISHED PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_kwzqu53k) 2022-12-01T10:40:47.6946345Z 2022-12-01T10:40:47.6946491Z Running test_jit ... [2022-12-01 10:40:47.573390] 2022-12-01T10:40:47.6946812Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:40:47.573697] 2022-12-01T10:45:31.6072949Z 2022-12-01T10:45:31.6073347Z Expand the folded group to see the log file of test_jit 2022-12-01T10:45:31.6074007Z ##[group]PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_kgnj4oy0) 2022-12-01T10:45:31.6082744Z Test results will be stored in test-reports/python-unittest/test_jit 2022-12-01T10:45:31.6083180Z CUDA not available, skipping tests 2022-12-01T10:45:31.6083576Z monkeytype is not installed. Skipping tests for Profile-Directed Typing 2022-12-01T10:45:31.6083825Z 2022-12-01T10:45:31.6083916Z Running tests... 2022-12-01T10:45:31.6084341Z ---------------------------------------------------------------------- 2022-12-01T10:45:31.6085299Z test_becomes_wildcard_annotations (jit.test_alias_analysis.TestAliasAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_becomes_wildcard_annotations /var/lib/jenkins/workspace/test/jit/test_alias_analysis.py line 14 2022-12-01T10:45:31.6085958Z due to: 2022-12-01T10:45:31.6086219Z Traceback (most recent call last): 2022-12-01T10:45:31.6086597Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6087422Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6170970Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6171483Z 2022-12-01T10:45:31.6171657Z from user code: 2022-12-01T10:45:31.6172296Z File "/var/lib/jenkins/workspace/test/jit/test_alias_analysis.py", line 24, in test_becomes_wildcard_annotations 2022-12-01T10:45:31.6172910Z graph = parse_ir(graph_str) 2022-12-01T10:45:31.6173168Z 2022-12-01T10:45:31.6173433Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6173917Z ========== 2022-12-01T10:45:31.6214272Z ok (0.011s) 2022-12-01T10:45:31.6215345Z test_nested_list_construct_not_wildcard (jit.test_alias_analysis.TestAliasAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_alias_analysis.py line 33 2022-12-01T10:45:31.6216218Z due to: 2022-12-01T10:45:31.6216662Z Traceback (most recent call last): 2022-12-01T10:45:31.6217217Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6217956Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6218748Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6219111Z 2022-12-01T10:45:31.6219218Z from user code: 2022-12-01T10:45:31.6219672Z File "/var/lib/jenkins/workspace/test/jit/test_alias_analysis.py", line 38, in 2022-12-01T10:45:31.6220342Z graph = foo.graph 2022-12-01T10:45:31.6220579Z 2022-12-01T10:45:31.6220784Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6221114Z ========== 2022-12-01T10:45:31.6221567Z Exception ignored in: .extract_files.. at 0x7f3ea49311d0> 2022-12-01T10:45:31.6222024Z Traceback (most recent call last): 2022-12-01T10:45:31.6222616Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 210, in 2022-12-01T10:45:31.6223093Z debug_files = (pickle.load(f) for f in debug_files_stream) 2022-12-01T10:45:31.6223542Z SystemError: error return without exception set 2022-12-01T10:45:31.6224074Z Exception ignored in: .extract_files.. at 0x7f3ea4931150> 2022-12-01T10:45:31.6224552Z Traceback (most recent call last): 2022-12-01T10:45:31.6225145Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 209, in 2022-12-01T10:45:31.6225622Z debug_files_stream = (archive.open(f) for f in debug_files_str) 2022-12-01T10:45:31.6226015Z SystemError: error return without exception set 2022-12-01T10:45:31.6226334Z ok (0.021s) 2022-12-01T10:45:31.6227172Z test_recursive_calls (jit.test_alias_analysis.TestAliasAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_alias_analysis.py line 52 2022-12-01T10:45:31.6227754Z due to: 2022-12-01T10:45:31.6228035Z Traceback (most recent call last): 2022-12-01T10:45:31.6228453Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6228907Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6229605Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6229949Z 2022-12-01T10:45:31.6230057Z from user code: 2022-12-01T10:45:31.6230495Z File "/var/lib/jenkins/workspace/test/jit/test_alias_analysis.py", line 64, in 2022-12-01T10:45:31.6230996Z alias_db = caller.graph.alias_db(isFrozen, descend_function_calls) 2022-12-01T10:45:31.6231246Z 2022-12-01T10:45:31.6231453Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6231779Z ========== 2022-12-01T10:45:31.6232003Z ok (0.154s) 2022-12-01T10:45:31.6232363Z test_async_future_type_python (jit.test_async.TestAsync) ... ok (0.015s) 2022-12-01T10:45:31.6232820Z test_async_grad_guard_no_grad (jit.test_async.TestAsync) ... ok (0.077s) 2022-12-01T10:45:31.6233265Z test_async_grad_guard_with_grad (jit.test_async.TestAsync) ... ok (0.040s) 2022-12-01T10:45:31.6233712Z test_async_kwargs (jit.test_async.TestAsync) ... ok (0.247s) 2022-12-01T10:45:31.6234132Z test_async_parsing (jit.test_async.TestAsync) ... ok (0.037s) 2022-12-01T10:45:31.6234544Z test_async_python (jit.test_async.TestAsync) ... ok (0.022s) 2022-12-01T10:45:31.6234952Z test_async_script (jit.test_async.TestAsync) ... ok (0.032s) 2022-12-01T10:45:31.6235742Z test_async_script_capture (jit.test_async.TestAsync) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Mod /var/lib/jenkins/workspace/test/jit/test_async.py line 87 2022-12-01T10:45:31.6236228Z due to: 2022-12-01T10:45:31.6236490Z Traceback (most recent call last): 2022-12-01T10:45:31.6236905Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6237288Z raise Unsupported(msg) 2022-12-01T10:45:31.6237643Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6237862Z 2022-12-01T10:45:31.6237964Z from user code: 2022-12-01T10:45:31.6238324Z File "/var/lib/jenkins/workspace/test/jit/test_async.py", line 87, in Mod 2022-12-01T10:45:31.6238728Z class Mod(torch.jit.ScriptModule): 2022-12-01T10:45:31.6238995Z 2022-12-01T10:45:31.6239199Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6239542Z ========== 2022-12-01T10:45:31.6240086Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_async.py line 90 2022-12-01T10:45:31.6240479Z due to: 2022-12-01T10:45:31.6240756Z Traceback (most recent call last): 2022-12-01T10:45:31.6241185Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6241655Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6242115Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6242450Z 2022-12-01T10:45:31.6242563Z from user code: 2022-12-01T10:45:31.6242930Z File "/var/lib/jenkins/workspace/test/jit/test_async.py", line 91, in __init__ 2022-12-01T10:45:31.6243287Z super(Mod, self).__init__() 2022-12-01T10:45:31.6243467Z 2022-12-01T10:45:31.6243665Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6243985Z ========== 2022-12-01T10:45:31.6244202Z ok (0.015s) 2022-12-01T10:45:31.6244555Z test_async_script_error (jit.test_async.TestAsync) ... ok (0.069s) 2022-12-01T10:45:31.6244994Z test_async_script_multi_forks (jit.test_async.TestAsync) ... ok (0.133s) 2022-12-01T10:45:31.6245433Z test_async_script_multi_waits (jit.test_async.TestAsync) ... ok (0.031s) 2022-12-01T10:45:31.6245858Z test_async_script_nested (jit.test_async.TestAsync) ... ok (0.048s) 2022-12-01T10:45:31.6246309Z test_async_script_no_script_mod (jit.test_async.TestAsync) ... ok (0.009s) 2022-12-01T10:45:31.6247281Z test_async_script_trace (jit.test_async.TestAsync) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Mod /var/lib/jenkins/workspace/test/jit/test_async.py line 254 2022-12-01T10:45:31.6247764Z due to: 2022-12-01T10:45:31.6248041Z Traceback (most recent call last): 2022-12-01T10:45:31.6248548Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6248920Z raise Unsupported(msg) 2022-12-01T10:45:31.6249274Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6249505Z 2022-12-01T10:45:31.6249611Z from user code: 2022-12-01T10:45:31.6249978Z File "/var/lib/jenkins/workspace/test/jit/test_async.py", line 254, in Mod 2022-12-01T10:45:31.6250368Z class Mod(torch.jit.ScriptModule): 2022-12-01T10:45:31.6250569Z 2022-12-01T10:45:31.6250773Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6251095Z ========== 2022-12-01T10:45:31.6251649Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_async.py line 255 2022-12-01T10:45:31.6252050Z due to: 2022-12-01T10:45:31.6252312Z Traceback (most recent call last): 2022-12-01T10:45:31.6252735Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6253216Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6253684Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6253976Z 2022-12-01T10:45:31.6254079Z from user code: 2022-12-01T10:45:31.6254427Z File "/var/lib/jenkins/workspace/test/jit/test_async.py", line 256, in __init__ 2022-12-01T10:45:31.6254812Z super(Mod, self).__init__() 2022-12-01T10:45:31.6254991Z 2022-12-01T10:45:31.6255185Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6255498Z ========== 2022-12-01T10:45:31.6255734Z ok (0.045s) 2022-12-01T10:45:31.6256067Z test_future_subtyping (jit.test_async.TestAsync) 2022-12-01T10:45:31.6256466Z Test that futures subtype each other properly. ... ok (0.035s) 2022-12-01T10:45:31.6256910Z test_no_future_subtype_message (jit.test_async.TestAsync) ... ok (0.007s) 2022-12-01T10:45:31.6257791Z test_trace_fork_wait (jit.test_async.TestAsync) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_async.py line 385 2022-12-01T10:45:31.6258430Z due to: 2022-12-01T10:45:31.6258691Z Traceback (most recent call last): 2022-12-01T10:45:31.6259140Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6259595Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6260282Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6260631Z 2022-12-01T10:45:31.6260736Z from user code: 2022-12-01T10:45:31.6261227Z File "/var/lib/jenkins/workspace/test/jit/test_async.py", line 387, in 2022-12-01T10:45:31.6262005Z self.assertGraphContainsExactly(traced.graph, kind='prim::fork', num_kind_nodes=1) 2022-12-01T10:45:31.6262310Z 2022-12-01T10:45:31.6262488Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6262816Z ========== 2022-12-01T10:45:31.6263056Z ok (0.061s) 2022-12-01T10:45:31.6263856Z test_trace_fork_wait_inline (jit.test_async.TestAsync) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_async.py line 417 2022-12-01T10:45:31.6264402Z due to: 2022-12-01T10:45:31.6264681Z Traceback (most recent call last): 2022-12-01T10:45:31.6265109Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6265895Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6266582Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6266925Z 2022-12-01T10:45:31.6267031Z from user code: 2022-12-01T10:45:31.6267435Z File "/var/lib/jenkins/workspace/test/jit/test_async.py", line 418, in 2022-12-01T10:45:31.6267911Z torch._C._jit_pass_inline_fork_wait(traced.graph) 2022-12-01T10:45:31.6268138Z 2022-12-01T10:45:31.6268347Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6268681Z ========== 2022-12-01T10:45:31.6268906Z ok (0.017s) 2022-12-01T10:45:31.6269268Z test_trace_fork_wait_inline_onnx (jit.test_async.TestAsync) ... ok (0.018s) 2022-12-01T10:45:31.6269709Z test_trace_fork_wait_leaking (jit.test_async.TestAsync) ... ok (0.009s) 2022-12-01T10:45:31.6270155Z test_trace_fork_wait_list_modulecalls (jit.test_async.TestAsync) ... ok (0.062s) 2022-12-01T10:45:31.6270655Z test_trace_modulecalls_with_different_output_types (jit.test_async.TestAsync) ... ok (0.051s) 2022-12-01T10:45:31.6271160Z test_aten_pow_zero_negative_exponent (jit.test_aten_pow.TestAtenPow) 2022-12-01T10:45:31.6271540Z 1. Testing a = int, b = int ... ok (2.395s) 2022-12-01T10:45:31.6271957Z test_autodiff_requires_grad_nograd (jit.test_autodiff.TestAutodiffJit) ... ok (0.116s) 2022-12-01T10:45:31.6272468Z test_requires_grad_outputs (jit.test_autodiff.TestAutodiffJit) ... ok (0.065s) 2022-12-01T10:45:31.6272990Z test_requires_grad_outputs_profiled_twice (jit.test_autodiff.TestAutodiffJit) ... ok (0.138s) 2022-12-01T10:45:31.6273525Z test_requires_grad_outputs_side_effects (jit.test_autodiff.TestAutodiffJit) ... ok (0.148s) 2022-12-01T10:45:31.6274030Z test_undefined_tensor_lists (jit.test_autodiff.TestAutodiffJit) ... ok (0.228s) 2022-12-01T10:45:31.6274603Z test_aliased_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.015s) 2022-12-01T10:45:31.6275220Z test_bias_as_arg (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.392s) 2022-12-01T10:45:31.6275803Z test_bias_as_module_attr (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.350s) 2022-12-01T10:45:31.6276440Z test_chunk_constant_script_ad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.020s) 2022-12-01T10:45:31.6277071Z test_constructed_bias (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.045s) 2022-12-01T10:45:31.6277761Z test_diff_graph_inline_threshold (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.015s) 2022-12-01T10:45:31.6278567Z test_differentiable_graph_ops_requires_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: disable until we property handle tensor lists with undefined gradients (0.003s) 2022-12-01T10:45:31.6279332Z test_does_not_create_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.019s) 2022-12-01T10:45:31.6279966Z test_does_not_merge_unrelated (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.014s) 2022-12-01T10:45:31.6281212Z test_has_profiled_info_aliasing_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_has_profiled_info_aliasing_outputs /var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py line 487 2022-12-01T10:45:31.6281891Z due to: 2022-12-01T10:45:31.6282167Z Traceback (most recent call last): 2022-12-01T10:45:31.6282590Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6283249Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6284029Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6284395Z 2022-12-01T10:45:31.6284503Z from user code: 2022-12-01T10:45:31.6284959Z File "/var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py", line 502, in test_has_profiled_info_aliasing_outputs 2022-12-01T10:45:31.6285407Z graph = torch._C.parse_ir(ir) 2022-12-01T10:45:31.6285596Z 2022-12-01T10:45:31.6285794Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6286131Z ========== 2022-12-01T10:45:31.6286351Z ok (0.004s) 2022-12-01T10:45:31.6287486Z test_merge_respects_aliasing (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py line 369 2022-12-01T10:45:31.6288175Z due to: 2022-12-01T10:45:31.6288516Z Traceback (most recent call last): 2022-12-01T10:45:31.6288925Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6289573Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6290260Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6290561Z 2022-12-01T10:45:31.6290674Z from user code: 2022-12-01T10:45:31.6291128Z File "/var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py", line 371, in 2022-12-01T10:45:31.6291696Z FileCheck().check("prim::If").check("aten::select").check_next("aten::select")\ 2022-12-01T10:45:31.6291954Z 2022-12-01T10:45:31.6292159Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6292474Z ========== 2022-12-01T10:45:31.6292714Z ok (0.024s) 2022-12-01T10:45:31.6293149Z test_merges_dense (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.011s) 2022-12-01T10:45:31.6294236Z test_merges_down (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py line 337 2022-12-01T10:45:31.6294852Z due to: 2022-12-01T10:45:31.6295133Z Traceback (most recent call last): 2022-12-01T10:45:31.6295557Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6296212Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6296999Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6297300Z 2022-12-01T10:45:31.6297410Z from user code: 2022-12-01T10:45:31.6297849Z File "/var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py", line 338, in 2022-12-01T10:45:31.6298354Z FileCheck().check_not("aten::add").run(g_str[0:g_str.find("return")]) 2022-12-01T10:45:31.6298592Z 2022-12-01T10:45:31.6298785Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6299106Z ========== 2022-12-01T10:45:31.6299333Z ok (0.021s) 2022-12-01T10:45:31.6300301Z test_merges_up (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py line 319 2022-12-01T10:45:31.6300962Z due to: 2022-12-01T10:45:31.6301243Z Traceback (most recent call last): 2022-12-01T10:45:31.6301649Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6302318Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6302993Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6303301Z 2022-12-01T10:45:31.6303395Z from user code: 2022-12-01T10:45:31.6321501Z File "/var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py", line 320, in 2022-12-01T10:45:31.6321877Z FileCheck().check_not("aten::add").run(g_str[0:g_str.find("return")]) 2022-12-01T10:45:31.6322028Z 2022-12-01T10:45:31.6322164Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6322384Z ========== 2022-12-01T10:45:31.6322544Z ok (0.018s) 2022-12-01T10:45:31.6322830Z test_merges_without_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-12-01T10:45:31.6323435Z test_prune_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: Simple Executor doesn't support gradients (0.001s) 2022-12-01T10:45:31.6323889Z test_requires_grad_for_tensor_list (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.018s) 2022-12-01T10:45:31.6324313Z test_respects_lexical_scoping (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.012s) 2022-12-01T10:45:31.6324711Z test_simple_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-12-01T10:45:31.6325438Z test_simple_no_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py line 247 2022-12-01T10:45:31.6325864Z due to: 2022-12-01T10:45:31.6326052Z Traceback (most recent call last): 2022-12-01T10:45:31.6326318Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6326749Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6327339Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6327542Z 2022-12-01T10:45:31.6327600Z from user code: 2022-12-01T10:45:31.6327903Z File "/var/lib/jenkins/workspace/test/jit/test_autodiff_subgraph_slicing.py", line 248, in 2022-12-01T10:45:31.6328298Z FileCheck().check("aten::Int").check("aten::zeros").check_not("aten::mul").run(g_str[0:g_str.find("return")]) 2022-12-01T10:45:31.6328550Z 2022-12-01T10:45:31.6328688Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6328897Z ========== 2022-12-01T10:45:31.6329053Z ok (0.018s) 2022-12-01T10:45:31.6329632Z test_errors (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-12-01T10:45:31.6330294Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_backends.py line 249 2022-12-01T10:45:31.6330568Z due to: 2022-12-01T10:45:31.6330751Z Traceback (most recent call last): 2022-12-01T10:45:31.6331041Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6331371Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6331711Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6331880Z 2022-12-01T10:45:31.6331950Z from user code: 2022-12-01T10:45:31.6332210Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 252, in 2022-12-01T10:45:31.6332562Z self.lowered_module = torch.jit.script(NestedModuleTest.NestedModule(lowered_module)) 2022-12-01T10:45:31.6332761Z 2022-12-01T10:45:31.6332893Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6333110Z ========== 2022-12-01T10:45:31.6333254Z ok (0.302s) 2022-12-01T10:45:31.6333703Z test_execution (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-12-01T10:45:31.6334357Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_execution /var/lib/jenkins/workspace/test/jit/test_backends.py line 449 2022-12-01T10:45:31.6334638Z due to: 2022-12-01T10:45:31.6334808Z Traceback (most recent call last): 2022-12-01T10:45:31.6335096Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6335396Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6335723Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6335891Z 2022-12-01T10:45:31.6335959Z from user code: 2022-12-01T10:45:31.6336210Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 451, in test_execution 2022-12-01T10:45:31.6336487Z self.basic_module_test.test_execution() 2022-12-01T10:45:31.6336610Z 2022-12-01T10:45:31.6336738Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6336952Z ========== 2022-12-01T10:45:31.6337334Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_execution /var/lib/jenkins/workspace/test/jit/test_backends.py line 145 2022-12-01T10:45:31.6337599Z due to: 2022-12-01T10:45:31.6337781Z Traceback (most recent call last): 2022-12-01T10:45:31.6338067Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6338356Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6338691Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6338861Z 2022-12-01T10:45:31.6338930Z from user code: 2022-12-01T10:45:31.6339181Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 150, in test_execution 2022-12-01T10:45:31.6339447Z self.check_function("accum", (input, input)) 2022-12-01T10:45:31.6339582Z 2022-12-01T10:45:31.6339711Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6339925Z ========== 2022-12-01T10:45:31.6340299Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT check_function /var/lib/jenkins/workspace/test/jit/test_backends.py line 86 2022-12-01T10:45:31.6340577Z due to: 2022-12-01T10:45:31.6340758Z Traceback (most recent call last): 2022-12-01T10:45:31.6341032Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6341373Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6341706Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6341873Z 2022-12-01T10:45:31.6341943Z from user code: 2022-12-01T10:45:31.6342181Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 92, in check_function 2022-12-01T10:45:31.6342638Z python_method = self.module.__getattribute__(function_name) 2022-12-01T10:45:31.6342880Z 2022-12-01T10:45:31.6343086Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6343407Z ========== 2022-12-01T10:45:31.6344080Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_execution /var/lib/jenkins/workspace/test/jit/test_backends.py line 254 2022-12-01T10:45:31.6344530Z due to: 2022-12-01T10:45:31.6344826Z Traceback (most recent call last): 2022-12-01T10:45:31.6345275Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6345756Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6346300Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6346571Z 2022-12-01T10:45:31.6346664Z from user code: 2022-12-01T10:45:31.6347063Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 259, in test_execution 2022-12-01T10:45:31.6347510Z self.check_function("forward", (input, input)) 2022-12-01T10:45:31.6347733Z 2022-12-01T10:45:31.6347923Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6348262Z ========== 2022-12-01T10:45:31.6348892Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_execution /var/lib/jenkins/workspace/test/jit/test_backends.py line 322 2022-12-01T10:45:31.6349345Z due to: 2022-12-01T10:45:31.6349622Z Traceback (most recent call last): 2022-12-01T10:45:31.6350086Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6350561Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6351096Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6351367Z 2022-12-01T10:45:31.6351483Z from user code: 2022-12-01T10:45:31.6351885Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 324, in test_execution 2022-12-01T10:45:31.6352343Z self.check_function("forward", (input, input)) 2022-12-01T10:45:31.6352551Z 2022-12-01T10:45:31.6352759Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6353108Z ========== 2022-12-01T10:45:31.6353818Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_selective_lowering_type_remap /var/lib/jenkins/workspace/test/jit/test_backends.py line 335 2022-12-01T10:45:31.6354289Z due to: 2022-12-01T10:45:31.6354587Z Traceback (most recent call last): 2022-12-01T10:45:31.6355044Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6355730Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6356460Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6356789Z 2022-12-01T10:45:31.6356905Z from user code: 2022-12-01T10:45:31.6357348Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 341, in test_selective_lowering_type_remap 2022-12-01T10:45:31.6357767Z FileCheck() \ 2022-12-01T10:45:31.6357938Z 2022-12-01T10:45:31.6358149Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6358496Z ========== 2022-12-01T10:45:31.6358740Z ok (0.190s) 2022-12-01T10:45:31.6359475Z test_save_load (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-12-01T10:45:31.6360577Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_save_load /var/lib/jenkins/workspace/test/jit/test_backends.py line 154 2022-12-01T10:45:31.6361000Z due to: 2022-12-01T10:45:31.6361256Z Traceback (most recent call last): 2022-12-01T10:45:31.6361672Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6362125Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6362658Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6362929Z 2022-12-01T10:45:31.6363036Z from user code: 2022-12-01T10:45:31.6363498Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 157, in test_save_load 2022-12-01T10:45:31.6363898Z self.test_execution() 2022-12-01T10:45:31.6364068Z 2022-12-01T10:45:31.6364294Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6364675Z ========== 2022-12-01T10:45:31.6365362Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_backends.py line 459 2022-12-01T10:45:31.6365812Z due to: 2022-12-01T10:45:31.6366098Z Traceback (most recent call last): 2022-12-01T10:45:31.6366528Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6367108Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6367749Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6368070Z 2022-12-01T10:45:31.6368187Z from user code: 2022-12-01T10:45:31.6368761Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 460, in 2022-12-01T10:45:31.6369258Z self.nested_module_test.test_save_load() 2022-12-01T10:45:31.6369411Z 2022-12-01T10:45:31.6369578Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6369941Z ========== 2022-12-01T10:45:31.6370622Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_save_load /var/lib/jenkins/workspace/test/jit/test_backends.py line 261 2022-12-01T10:45:31.6371142Z due to: 2022-12-01T10:45:31.6371443Z Traceback (most recent call last): 2022-12-01T10:45:31.6371917Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6372380Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6372944Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6373260Z 2022-12-01T10:45:31.6373391Z from user code: 2022-12-01T10:45:31.6373833Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 263, in test_save_load 2022-12-01T10:45:31.6374279Z self.test_execution() 2022-12-01T10:45:31.6374483Z 2022-12-01T10:45:31.6374731Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6375130Z ========== 2022-12-01T10:45:31.6375816Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_save_load /var/lib/jenkins/workspace/test/jit/test_backends.py line 328 2022-12-01T10:45:31.6376325Z due to: 2022-12-01T10:45:31.6376637Z Traceback (most recent call last): 2022-12-01T10:45:31.6377172Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6377748Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6378398Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6378745Z 2022-12-01T10:45:31.6378879Z from user code: 2022-12-01T10:45:31.6379431Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 329, in test_save_load 2022-12-01T10:45:31.6379997Z self.test_execution() 2022-12-01T10:45:31.6380240Z 2022-12-01T10:45:31.6380461Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6380843Z ========== 2022-12-01T10:45:31.6381142Z ok (0.289s) 2022-12-01T10:45:31.6382152Z test_errors (jit.test_backends.TestBackendsWithCompiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_backends.py line 635 2022-12-01T10:45:31.6383000Z due to: 2022-12-01T10:45:31.6383341Z Traceback (most recent call last): 2022-12-01T10:45:31.6383857Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6384379Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6384922Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6385094Z 2022-12-01T10:45:31.6385169Z from user code: 2022-12-01T10:45:31.6385670Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 638, in 2022-12-01T10:45:31.6386226Z torch.jit.script(CompModuleTestWithCompiler.BasicModuleSub()), 2022-12-01T10:45:31.6386542Z 2022-12-01T10:45:31.6386751Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6387124Z ========== 2022-12-01T10:45:31.6387823Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_errors /var/lib/jenkins/workspace/test/jit/test_backends.py line 683 2022-12-01T10:45:31.6388279Z due to: 2022-12-01T10:45:31.6388586Z Traceback (most recent call last): 2022-12-01T10:45:31.6389075Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6389540Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6390105Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6390391Z 2022-12-01T10:45:31.6390516Z from user code: 2022-12-01T10:45:31.6390922Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 684, in test_errors 2022-12-01T10:45:31.6391394Z self.error_module_compiler_test.test_errors() 2022-12-01T10:45:31.6391636Z 2022-12-01T10:45:31.6391853Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6392219Z ========== 2022-12-01T10:45:31.6392843Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_errors /var/lib/jenkins/workspace/test/jit/test_backends.py line 581 2022-12-01T10:45:31.6393314Z due to: 2022-12-01T10:45:31.6393616Z Traceback (most recent call last): 2022-12-01T10:45:31.6394086Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6394564Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6395118Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6395406Z 2022-12-01T10:45:31.6395523Z from user code: 2022-12-01T10:45:31.6395930Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 582, in test_errors 2022-12-01T10:45:31.6396525Z scripted_module_n = torch.jit.script(ErrorMessagesWithCompiler.ModuleNotSupported()) 2022-12-01T10:45:31.6396888Z 2022-12-01T10:45:31.6397107Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6397446Z ========== 2022-12-01T10:45:31.6397713Z ok (0.156s) 2022-12-01T10:45:31.6398611Z test_execution (jit.test_backends.TestBackendsWithCompiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_backends.py line 512 2022-12-01T10:45:31.6399223Z due to: 2022-12-01T10:45:31.6399507Z Traceback (most recent call last): 2022-12-01T10:45:31.6400089Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.6400687Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.6401250Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.6401537Z 2022-12-01T10:45:31.6401657Z from user code: 2022-12-01T10:45:31.6402116Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 513, in 2022-12-01T10:45:31.6402602Z backend_output = self.lowered_module(*input) 2022-12-01T10:45:31.6402838Z 2022-12-01T10:45:31.6403064Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6403509Z ========== 2022-12-01T10:45:31.6404197Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_backends.py line 680 2022-12-01T10:45:31.6404673Z due to: 2022-12-01T10:45:31.6404979Z Traceback (most recent call last): 2022-12-01T10:45:31.6405466Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6405948Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6406514Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6406801Z 2022-12-01T10:45:31.6407098Z from user code: 2022-12-01T10:45:31.6407564Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 681, in 2022-12-01T10:45:31.6408045Z self.comp_module_compiler_test.test_execution() 2022-12-01T10:45:31.6408293Z 2022-12-01T10:45:31.6408588Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6408959Z ========== 2022-12-01T10:45:31.6409586Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_execution /var/lib/jenkins/workspace/test/jit/test_backends.py line 650 2022-12-01T10:45:31.6410058Z due to: 2022-12-01T10:45:31.6410361Z Traceback (most recent call last): 2022-12-01T10:45:31.6410845Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.6411335Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.6411908Z AttributeError: 'wrapper_descriptor' object has no attribute '__code__' 2022-12-01T10:45:31.6412201Z 2022-12-01T10:45:31.6412318Z from user code: 2022-12-01T10:45:31.6412734Z File "/var/lib/jenkins/workspace/test/jit/test_backends.py", line 656, in test_execution 2022-12-01T10:45:31.6413223Z self.check_function("forward", (input1, input2, input2)) 2022-12-01T10:45:31.6413465Z 2022-12-01T10:45:31.6413689Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6414052Z ========== 2022-12-01T10:45:31.6414294Z ok (0.120s) 2022-12-01T10:45:31.6415179Z test_batch_mm_no_mutation (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 43 2022-12-01T10:45:31.6415776Z due to: 2022-12-01T10:45:31.6416046Z Traceback (most recent call last): 2022-12-01T10:45:31.6416513Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6417213Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6417948Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6418282Z 2022-12-01T10:45:31.6418385Z from user code: 2022-12-01T10:45:31.6418850Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 48, in 2022-12-01T10:45:31.6419385Z FileCheck().check_count("aten::mm", 4, exactly=True).run( 2022-12-01T10:45:31.6419611Z 2022-12-01T10:45:31.6419827Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6420166Z ========== 2022-12-01T10:45:31.6420431Z ok (0.049s) 2022-12-01T10:45:31.6421363Z test_batch_mm_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 81 2022-12-01T10:45:31.6421971Z due to: 2022-12-01T10:45:31.6422280Z Traceback (most recent call last): 2022-12-01T10:45:31.6422749Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6423458Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6424158Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6424580Z 2022-12-01T10:45:31.6424701Z from user code: 2022-12-01T10:45:31.6425174Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 86, in 2022-12-01T10:45:31.6425697Z FileCheck().check_count("aten::mm", 4, exactly=True).run( 2022-12-01T10:45:31.6425951Z 2022-12-01T10:45:31.6426170Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6426533Z ========== 2022-12-01T10:45:31.6426790Z ok (0.050s) 2022-12-01T10:45:31.6427784Z test_batch_mm_prohibited_mutation (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 99 2022-12-01T10:45:31.6428411Z due to: 2022-12-01T10:45:31.6428719Z Traceback (most recent call last): 2022-12-01T10:45:31.6429176Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6429901Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6430638Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6430962Z 2022-12-01T10:45:31.6431081Z from user code: 2022-12-01T10:45:31.6431551Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 117, in 2022-12-01T10:45:31.6432139Z FileCheck().check_count("aten::mm", 4, exactly=True).run(test_batch_mm.graph) 2022-12-01T10:45:31.6432416Z 2022-12-01T10:45:31.6432633Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6432983Z ========== 2022-12-01T10:45:31.6433229Z ok (0.013s) 2022-12-01T10:45:31.6434225Z test_batch_mm_prohibited_mutation_if_node (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 160 2022-12-01T10:45:31.6434872Z due to: 2022-12-01T10:45:31.6435164Z Traceback (most recent call last): 2022-12-01T10:45:31.6435633Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6436121Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6436863Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6437244Z 2022-12-01T10:45:31.6437338Z from user code: 2022-12-01T10:45:31.6437866Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 188, in 2022-12-01T10:45:31.6438482Z self.run_pass("batch_mm", test_batch_mm.graph) 2022-12-01T10:45:31.6438705Z 2022-12-01T10:45:31.6438915Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6439280Z ========== 2022-12-01T10:45:31.6439539Z ok (0.015s) 2022-12-01T10:45:31.6440534Z test_batch_mm_prohibited_mutation_multiple_adds (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 125 2022-12-01T10:45:31.6441185Z due to: 2022-12-01T10:45:31.6441486Z Traceback (most recent call last): 2022-12-01T10:45:31.6441958Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6442456Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6443186Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6443563Z 2022-12-01T10:45:31.6443681Z from user code: 2022-12-01T10:45:31.6444187Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 153, in 2022-12-01T10:45:31.6444771Z self.run_pass("batch_mm", test_batch_mm.graph) 2022-12-01T10:45:31.6444990Z 2022-12-01T10:45:31.6445207Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6445563Z ========== 2022-12-01T10:45:31.6445833Z ok (0.015s) 2022-12-01T10:45:31.6446758Z test_batch_mm_side_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 195 2022-12-01T10:45:31.6447547Z due to: 2022-12-01T10:45:31.6447851Z Traceback (most recent call last): 2022-12-01T10:45:31.6448428Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6449155Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6449884Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6450216Z 2022-12-01T10:45:31.6450340Z from user code: 2022-12-01T10:45:31.6450806Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 216, in 2022-12-01T10:45:31.6451403Z FileCheck().check_count("aten::mm", 8, exactly=True).run(test_batch_mm.graph) 2022-12-01T10:45:31.6451690Z 2022-12-01T10:45:31.6451893Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6452253Z ========== 2022-12-01T10:45:31.6452501Z ok (0.015s) 2022-12-01T10:45:31.6453529Z test_batch_mm_side_prohibited_mutation_common_side (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 260 2022-12-01T10:45:31.6454212Z due to: 2022-12-01T10:45:31.6454507Z Traceback (most recent call last): 2022-12-01T10:45:31.6454950Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6455664Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6456394Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6456726Z 2022-12-01T10:45:31.6456824Z from user code: 2022-12-01T10:45:31.6457317Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 286, in 2022-12-01T10:45:31.6457913Z FileCheck().check_count("aten::mm", 10, exactly=True).run(test_batch_mm.graph) 2022-12-01T10:45:31.6458183Z 2022-12-01T10:45:31.6458406Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6458745Z ========== 2022-12-01T10:45:31.6459006Z ok (0.017s) 2022-12-01T10:45:31.6460020Z test_batch_mm_side_prohibited_mutation_uncommon_side (jit.test_batch_mm.TestBatchMM) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_batch_mm.py line 224 2022-12-01T10:45:31.6460681Z due to: 2022-12-01T10:45:31.6460966Z Traceback (most recent call last): 2022-12-01T10:45:31.6461431Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6462142Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6462863Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6463189Z 2022-12-01T10:45:31.6463314Z from user code: 2022-12-01T10:45:31.6463834Z File "/var/lib/jenkins/workspace/test/jit/test_batch_mm.py", line 250, in 2022-12-01T10:45:31.6464437Z FileCheck().check_count("aten::mm", 10, exactly=True).run(test_batch_mm.graph) 2022-12-01T10:45:31.6464791Z 2022-12-01T10:45:31.6464989Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6465356Z ========== 2022-12-01T10:45:31.6465609Z ok (0.017s) 2022-12-01T10:45:31.6465943Z test_del (jit.test_builtins.TestBuiltins) ... ok (0.023s) 2022-12-01T10:45:31.6466419Z test_del_multiple_operands (jit.test_builtins.TestBuiltins) ... ok (0.088s) 2022-12-01T10:45:31.6466919Z test_has_attr (jit.test_builtins.TestBuiltins) ... ok (1.016s) 2022-12-01T10:45:31.6467414Z test_has_attr_invalid_args (jit.test_builtins.TestBuiltins) ... ok (0.016s) 2022-12-01T10:45:31.6467892Z test_cast_overloads (jit.test_class_type.TestClassType) ... ok (0.015s) 2022-12-01T10:45:31.6468447Z test_class_attribute_wrong_type (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6468960Z Test that the error message displayed when convering a class type ... ok (0.010s) 2022-12-01T10:45:31.6469454Z test_class_constant (jit.test_class_type.TestClassType) ... ok (0.038s) 2022-12-01T10:45:31.6469980Z test_class_constructs_itself (jit.test_class_type.TestClassType) ... ok (0.007s) 2022-12-01T10:45:31.6470510Z test_class_inheritance (jit.test_class_type.TestClassType) ... ok (0.006s) 2022-12-01T10:45:31.6471008Z test_class_inheritance_implicit (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6471832Z Test that inheritance is detected in ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A /var/lib/jenkins/workspace/test/jit/test_class_type.py line 481 2022-12-01T10:45:31.6472348Z due to: 2022-12-01T10:45:31.6472655Z Traceback (most recent call last): 2022-12-01T10:45:31.6473107Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6473523Z raise Unsupported(msg) 2022-12-01T10:45:31.6473909Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6474169Z 2022-12-01T10:45:31.6474276Z from user code: 2022-12-01T10:45:31.6474663Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 481, in A 2022-12-01T10:45:31.6475042Z class A: 2022-12-01T10:45:31.6475200Z 2022-12-01T10:45:31.6475423Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6475774Z ========== 2022-12-01T10:45:31.6476391Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT B /var/lib/jenkins/workspace/test/jit/test_class_type.py line 489 2022-12-01T10:45:31.6476845Z due to: 2022-12-01T10:45:31.6477132Z Traceback (most recent call last): 2022-12-01T10:45:31.6477575Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6478008Z raise Unsupported(msg) 2022-12-01T10:45:31.6478396Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6478638Z 2022-12-01T10:45:31.6478762Z from user code: 2022-12-01T10:45:31.6479175Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 489, in B 2022-12-01T10:45:31.6479546Z class B(A): 2022-12-01T10:45:31.6479731Z 2022-12-01T10:45:31.6479934Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6480306Z ========== 2022-12-01T10:45:31.6480570Z ok (0.016s) 2022-12-01T10:45:31.6480932Z test_class_sorting (jit.test_class_type.TestClassType) ... ok (0.188s) 2022-12-01T10:45:31.6481448Z test_class_specialization (jit.test_class_type.TestClassType) ... ok (0.089s) 2022-12-01T10:45:31.6481950Z test_class_type_as_param (jit.test_class_type.TestClassType) ... ok (0.010s) 2022-12-01T10:45:31.6482426Z test_classmethod (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6482884Z Test classmethods on class types. ... ok (0.011s) 2022-12-01T10:45:31.6483403Z test_conditional_set_attr (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-12-01T10:45:31.6483949Z test_custom_delete (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6484452Z Test that del can be called on an instance of a class that ... ok (0.021s) 2022-12-01T10:45:31.6484953Z test_default_args (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6485455Z Test that methods on class types can have default arguments. ... ok (0.058s) 2022-12-01T10:45:31.6485977Z test_get_attr (jit.test_class_type.TestClassType) ... ok (0.007s) 2022-12-01T10:45:31.6486555Z test_get_attr_not_initialized (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-12-01T10:45:31.6487178Z test_get_with_method (jit.test_class_type.TestClassType) ... ok (0.009s) 2022-12-01T10:45:31.6487717Z test_imported_classes (jit.test_class_type.TestClassType) ... skip: Test does not work with TorchDynamo (0.001s) 2022-12-01T10:45:31.6488383Z test_in (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-12-01T10:45:31.6488692Z test_init_compiled_first (jit.test_class_type.TestClassType) ... ok (0.005s) 2022-12-01T10:45:31.6489342Z test_interface (jit.test_class_type.TestClassType) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT OneTwo /var/lib/jenkins/workspace/test/jit/test_class_type.py line 562 2022-12-01T10:45:31.6489675Z due to: 2022-12-01T10:45:31.6489845Z Traceback (most recent call last): 2022-12-01T10:45:31.6490125Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6490379Z raise Unsupported(msg) 2022-12-01T10:45:31.6490605Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6490759Z 2022-12-01T10:45:31.6490829Z from user code: 2022-12-01T10:45:31.6491071Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 562, in OneTwo 2022-12-01T10:45:31.6491306Z @torch.jit.interface 2022-12-01T10:45:31.6491424Z 2022-12-01T10:45:31.6491552Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6491767Z ========== 2022-12-01T10:45:31.6492139Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT OneTwoThree /var/lib/jenkins/workspace/test/jit/test_class_type.py line 570 2022-12-01T10:45:31.6492417Z due to: 2022-12-01T10:45:31.6492596Z Traceback (most recent call last): 2022-12-01T10:45:31.6492865Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6493102Z raise Unsupported(msg) 2022-12-01T10:45:31.6493340Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6493491Z 2022-12-01T10:45:31.6493560Z from user code: 2022-12-01T10:45:31.6493796Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 570, in OneTwoThree 2022-12-01T10:45:31.6494045Z @torch.jit.interface 2022-12-01T10:45:31.6494160Z 2022-12-01T10:45:31.6494288Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6494493Z ========== 2022-12-01T10:45:31.6494869Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT OneTwoWrong /var/lib/jenkins/workspace/test/jit/test_class_type.py line 581 2022-12-01T10:45:31.6495146Z due to: 2022-12-01T10:45:31.6495326Z Traceback (most recent call last): 2022-12-01T10:45:31.6495584Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6495836Z raise Unsupported(msg) 2022-12-01T10:45:31.6496071Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6496213Z 2022-12-01T10:45:31.6496282Z from user code: 2022-12-01T10:45:31.6496526Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 581, in OneTwoWrong 2022-12-01T10:45:31.6496773Z @torch.jit.interface 2022-12-01T10:45:31.6496886Z 2022-12-01T10:45:31.6497004Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6497216Z ========== 2022-12-01T10:45:31.6497369Z ok (0.100s) 2022-12-01T10:45:31.6497599Z test_optional_type_promotion (jit.test_class_type.TestClassType) ... ok (0.007s) 2022-12-01T10:45:31.6497915Z test_out_of_order_methods (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-12-01T10:45:31.6498457Z test_overloaded_fn (jit.test_class_type.TestClassType) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo /var/lib/jenkins/workspace/test/jit/test_class_type.py line 692 2022-12-01T10:45:31.6498779Z due to: 2022-12-01T10:45:31.6498946Z Traceback (most recent call last): 2022-12-01T10:45:31.6499215Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6499516Z raise Unsupported(msg) 2022-12-01T10:45:31.6499738Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6499890Z 2022-12-01T10:45:31.6499960Z from user code: 2022-12-01T10:45:31.6500198Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 692, in Foo 2022-12-01T10:45:31.6500437Z @torch.jit.script 2022-12-01T10:45:31.6500536Z 2022-12-01T10:45:31.6500667Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6500884Z ========== 2022-12-01T10:45:31.6501041Z ok (0.147s) 2022-12-01T10:45:31.6501243Z test_properties (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6501615Z Test that a scripted class can make use of the @property decorator. ... skip: Not a suitable test for TorchDynamo (0.003s) 2022-12-01T10:45:31.6501984Z test_py_class_to_ivalue_missing_attribute (jit.test_class_type.TestClassType) ... ok (0.009s) 2022-12-01T10:45:31.6502291Z test_python_interop (jit.test_class_type.TestClassType) ... ok (0.011s) 2022-12-01T10:45:31.6502582Z test_recursive_class (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6502890Z Recursive class types not yet supported. We should give a good error message. ... ok (0.008s) 2022-12-01T10:45:31.6503221Z test_recursive_script_builtin_type_resolution (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6503840Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A /var/lib/jenkins/workspace/test/jit/test_class_type.py line 1362 2022-12-01T10:45:31.6504221Z due to: 2022-12-01T10:45:31.6504405Z Traceback (most recent call last): 2022-12-01T10:45:31.6504664Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6504916Z raise Unsupported(msg) 2022-12-01T10:45:31.6505150Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6505303Z 2022-12-01T10:45:31.6505373Z from user code: 2022-12-01T10:45:31.6505599Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 1362, in A 2022-12-01T10:45:31.6505831Z class A(object): 2022-12-01T10:45:31.6505940Z 2022-12-01T10:45:31.6506071Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6506274Z ========== 2022-12-01T10:45:31.6506428Z ok (0.053s) 2022-12-01T10:45:31.6506687Z test_recursive_script_module_builtin_type_resolution (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6507331Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Wrapper /var/lib/jenkins/workspace/test/jit/test_class_type.py line 1407 2022-12-01T10:45:31.6507714Z due to: 2022-12-01T10:45:31.6507893Z Traceback (most recent call last): 2022-12-01T10:45:31.6508160Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6508403Z raise Unsupported(msg) 2022-12-01T10:45:31.6508636Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6508788Z 2022-12-01T10:45:31.6508857Z from user code: 2022-12-01T10:45:31.6509087Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 1407, in Wrapper 2022-12-01T10:45:31.6509328Z class Wrapper(): 2022-12-01T10:45:31.6509440Z 2022-12-01T10:45:31.6509568Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6509770Z ========== 2022-12-01T10:45:31.6509925Z ok (0.013s) 2022-12-01T10:45:31.6510150Z test_recursive_scripting (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6510471Z Test that class types are recursively scripted when an Python instance of one ... ok (0.016s) 2022-12-01T10:45:31.6510777Z test_recursive_scripting_failed (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6511345Z Test that class types module attributes that fail to script ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ShouldCompile /var/lib/jenkins/workspace/test/jit/test_class_type.py line 1498 2022-12-01T10:45:31.6511716Z due to: 2022-12-01T10:45:31.6511887Z Traceback (most recent call last): 2022-12-01T10:45:31.6512158Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6512410Z raise Unsupported(msg) 2022-12-01T10:45:31.6512631Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6512784Z 2022-12-01T10:45:31.6512854Z from user code: 2022-12-01T10:45:31.6513110Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 1498, in ShouldCompile 2022-12-01T10:45:31.6513388Z class ShouldCompile(torch.nn.Module): 2022-12-01T10:45:31.6513512Z 2022-12-01T10:45:31.6513680Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6513897Z ========== 2022-12-01T10:45:31.6514053Z ok (0.023s) 2022-12-01T10:45:31.6514268Z test_reference_semantics (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6514566Z Test that modifications made to a class instance in TorchScript ... ok (0.011s) 2022-12-01T10:45:31.6515129Z test_save_load_with_classes (jit.test_class_type.TestClassType) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod /var/lib/jenkins/workspace/test/jit/test_class_type.py line 225 2022-12-01T10:45:31.6515463Z due to: 2022-12-01T10:45:31.6515630Z Traceback (most recent call last): 2022-12-01T10:45:31.6515899Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6516151Z raise Unsupported(msg) 2022-12-01T10:45:31.6516375Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6516525Z 2022-12-01T10:45:31.6516593Z from user code: 2022-12-01T10:45:31.6516836Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 225, in MyMod 2022-12-01T10:45:31.6517097Z class MyMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.6517235Z 2022-12-01T10:45:31.6517364Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6517576Z ========== 2022-12-01T10:45:31.6517719Z ok (0.011s) 2022-12-01T10:45:31.6518214Z test_save_load_with_classes_nested (jit.test_class_type.TestClassType) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod /var/lib/jenkins/workspace/test/jit/test_class_type.py line 295 2022-12-01T10:45:31.6518555Z due to: 2022-12-01T10:45:31.6518735Z Traceback (most recent call last): 2022-12-01T10:45:31.6518991Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6519245Z raise Unsupported(msg) 2022-12-01T10:45:31.6519477Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6519627Z 2022-12-01T10:45:31.6519684Z from user code: 2022-12-01T10:45:31.6519927Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 295, in MyMod 2022-12-01T10:45:31.6520196Z class MyMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.6520334Z 2022-12-01T10:45:31.6520463Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6520668Z ========== 2022-12-01T10:45:31.6520822Z ok (0.017s) 2022-12-01T10:45:31.6521317Z test_save_load_with_classes_returned (jit.test_class_type.TestClassType) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod /var/lib/jenkins/workspace/test/jit/test_class_type.py line 256 2022-12-01T10:45:31.6521647Z due to: 2022-12-01T10:45:31.6521826Z Traceback (most recent call last): 2022-12-01T10:45:31.6522092Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6522333Z raise Unsupported(msg) 2022-12-01T10:45:31.6522564Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6522714Z 2022-12-01T10:45:31.6522783Z from user code: 2022-12-01T10:45:31.6523013Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 256, in MyMod 2022-12-01T10:45:31.6523281Z class MyMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.6523417Z 2022-12-01T10:45:31.6523547Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6523801Z ========== 2022-12-01T10:45:31.6523943Z ok (0.012s) 2022-12-01T10:45:31.6524171Z test_schema_human_readable (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6524538Z Make sure that the schema is human readable, ie the mode parameter should read "nearest" instead of being displayed in octal ... ok (0.235s) 2022-12-01T10:45:31.6524890Z test_self_referential_method (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6525204Z Test that a scripted class can have a method that refers to the class itself ... ok (0.020s) 2022-12-01T10:45:31.6525520Z test_set_attr_in_method (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-12-01T10:45:31.6525881Z test_set_attr_non_initialized (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-12-01T10:45:31.6526187Z test_set_attr_type_mismatch (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-12-01T10:45:31.6526474Z test_staticmethod (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6526727Z Test static methods on class types. ... ok (0.020s) 2022-12-01T10:45:31.6527112Z test_type_annotation (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6527436Z Test that annotating container attributes with types works correctly ... ok (0.008s) 2022-12-01T10:45:31.6527749Z test_type_annotations (jit.test_class_type.TestClassType) ... ok (0.009s) 2022-12-01T10:45:31.6528054Z test_unresolved_class_attributes (jit.test_class_type.TestClassType) ... ok (0.009s) 2022-12-01T10:45:31.6528405Z test_unused_method (jit.test_class_type.TestClassType) 2022-12-01T10:45:31.6528920Z Test unused methods on scripted classes. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Unused /var/lib/jenkins/workspace/test/jit/test_class_type.py line 979 2022-12-01T10:45:31.6529235Z due to: 2022-12-01T10:45:31.6529403Z Traceback (most recent call last): 2022-12-01T10:45:31.6529674Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6529929Z raise Unsupported(msg) 2022-12-01T10:45:31.6530158Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6530309Z 2022-12-01T10:45:31.6530379Z from user code: 2022-12-01T10:45:31.6530623Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 979, in Unused 2022-12-01T10:45:31.6530854Z @torch.jit.script 2022-12-01T10:45:31.6530965Z 2022-12-01T10:45:31.6531097Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6531312Z ========== 2022-12-01T10:45:31.6531702Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleWithUnused /var/lib/jenkins/workspace/test/jit/test_class_type.py line 997 2022-12-01T10:45:31.6531973Z due to: 2022-12-01T10:45:31.6532152Z Traceback (most recent call last): 2022-12-01T10:45:31.6532424Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6532664Z raise Unsupported(msg) 2022-12-01T10:45:31.6532899Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6533050Z 2022-12-01T10:45:31.6533118Z from user code: 2022-12-01T10:45:31.6533361Z File "/var/lib/jenkins/workspace/test/jit/test_class_type.py", line 997, in ModuleWithUnused 2022-12-01T10:45:31.6533634Z class ModuleWithUnused(nn.Module): 2022-12-01T10:45:31.6533765Z 2022-12-01T10:45:31.6533894Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6534108Z ========== 2022-12-01T10:45:31.6534249Z ok (0.021s) 2022-12-01T10:45:31.6534725Z test_binary_op_complex_tensor (jit.test_complex.TestComplex) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT eq /var/lib/jenkins/workspace/test/jit/test_complex.py line 339 2022-12-01T10:45:31.6535052Z due to: 2022-12-01T10:45:31.6535220Z Traceback (most recent call last): 2022-12-01T10:45:31.6535493Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 200, in as_proxy 2022-12-01T10:45:31.6535773Z raise NotImplementedError(str(self)) 2022-12-01T10:45:31.6536028Z NotImplementedError: UserDefinedObjectVariable(complex) 2022-12-01T10:45:31.6536195Z 2022-12-01T10:45:31.6536338Z from user code: 2022-12-01T10:45:31.6536576Z File "/var/lib/jenkins/workspace/test/jit/test_complex.py", line 340, in eq 2022-12-01T10:45:31.6536808Z return x == y 2022-12-01T10:45:31.6536901Z 2022-12-01T10:45:31.6537029Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6537245Z ========== 2022-12-01T10:45:31.6537612Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ne /var/lib/jenkins/workspace/test/jit/test_complex.py line 342 2022-12-01T10:45:31.6537868Z due to: 2022-12-01T10:45:31.6538047Z Traceback (most recent call last): 2022-12-01T10:45:31.6538322Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 200, in as_proxy 2022-12-01T10:45:31.6538635Z raise NotImplementedError(str(self)) 2022-12-01T10:45:31.6538906Z NotImplementedError: UserDefinedObjectVariable(complex) 2022-12-01T10:45:31.6539072Z 2022-12-01T10:45:31.6539141Z from user code: 2022-12-01T10:45:31.6539374Z File "/var/lib/jenkins/workspace/test/jit/test_complex.py", line 343, in ne 2022-12-01T10:45:31.6539594Z return x != y 2022-12-01T10:45:31.6539697Z 2022-12-01T10:45:31.6539827Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6540040Z ========== 2022-12-01T10:45:31.6545819Z ok (0.058s) 2022-12-01T10:45:31.6546070Z test_comparison_ops (jit.test_complex.TestComplex) ... ok (0.016s) 2022-12-01T10:45:31.6546647Z test_complex_constants_and_ops (jit.test_complex.TestComplex) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT checkCmath /var/lib/jenkins/workspace/test/jit/test_complex.py line 77 2022-12-01T10:45:31.6546984Z due to: 2022-12-01T10:45:31.6547153Z Traceback (most recent call last): 2022-12-01T10:45:31.6547444Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.6547702Z assert not kwargs 2022-12-01T10:45:31.6547870Z AssertionError 2022-12-01T10:45:31.6547979Z 2022-12-01T10:45:31.6548049Z from user code: 2022-12-01T10:45:31.6548297Z File "/var/lib/jenkins/workspace/test/jit/test_complex.py", line 78, in checkCmath 2022-12-01T10:45:31.6548580Z funcs_str = funcs_template.format(func_or_const=func_name) 2022-12-01T10:45:31.6548733Z 2022-12-01T10:45:31.6548863Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6549074Z ========== 2022-12-01T10:45:31.6549219Z ok (0.695s) 2022-12-01T10:45:31.6549453Z test_complex_constructor (jit.test_complex.TestComplex) ... ok (0.055s) 2022-12-01T10:45:31.6549754Z test_complex_list_sum (jit.test_complex.TestComplex) ... ok (0.020s) 2022-12-01T10:45:31.6550047Z test_complex_parse (jit.test_complex.TestComplex) ... ok (0.024s) 2022-12-01T10:45:31.6550321Z test_complexdict (jit.test_complex.TestComplex) ... ok (0.006s) 2022-12-01T10:45:31.6550607Z test_complexlist (jit.test_complex.TestComplex) ... ok (0.006s) 2022-12-01T10:45:31.6550878Z test_div (jit.test_complex.TestComplex) ... ok (0.006s) 2022-12-01T10:45:31.6551394Z test_infj_nanj_pickle (jit.test_complex.TestComplex) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ComplexModule /var/lib/jenkins/workspace/test/jit/test_complex.py line 159 2022-12-01T10:45:31.6551727Z due to: 2022-12-01T10:45:31.6551908Z Traceback (most recent call last): 2022-12-01T10:45:31.6552165Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6552415Z raise Unsupported(msg) 2022-12-01T10:45:31.6552649Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6552802Z 2022-12-01T10:45:31.6552870Z from user code: 2022-12-01T10:45:31.6553105Z File "/var/lib/jenkins/workspace/test/jit/test_complex.py", line 159, in ComplexModule 2022-12-01T10:45:31.6553400Z class ComplexModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.6553554Z 2022-12-01T10:45:31.6553686Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6553890Z ========== 2022-12-01T10:45:31.6554260Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_complex.py line 160 2022-12-01T10:45:31.6554611Z due to: 2022-12-01T10:45:31.6554781Z Traceback (most recent call last): 2022-12-01T10:45:31.6555070Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6555377Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6555686Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6555864Z 2022-12-01T10:45:31.6555934Z from user code: 2022-12-01T10:45:31.6556176Z File "/var/lib/jenkins/workspace/test/jit/test_complex.py", line 161, in __init__ 2022-12-01T10:45:31.6556414Z super().__init__() 2022-12-01T10:45:31.6556523Z 2022-12-01T10:45:31.6556678Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6556897Z ========== 2022-12-01T10:45:31.6557054Z ok (0.012s) 2022-12-01T10:45:31.6557505Z test_pickle (jit.test_complex.TestComplex) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ComplexModule /var/lib/jenkins/workspace/test/jit/test_complex.py line 39 2022-12-01T10:45:31.6557832Z due to: 2022-12-01T10:45:31.6558014Z Traceback (most recent call last): 2022-12-01T10:45:31.6558287Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6558529Z raise Unsupported(msg) 2022-12-01T10:45:31.6558765Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6558919Z 2022-12-01T10:45:31.6558989Z from user code: 2022-12-01T10:45:31.6559226Z File "/var/lib/jenkins/workspace/test/jit/test_complex.py", line 39, in ComplexModule 2022-12-01T10:45:31.6559518Z class ComplexModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.6559669Z 2022-12-01T10:45:31.6559801Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6560003Z ========== 2022-12-01T10:45:31.6560365Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_complex.py line 40 2022-12-01T10:45:31.6560636Z due to: 2022-12-01T10:45:31.6560820Z Traceback (most recent call last): 2022-12-01T10:45:31.6561097Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6561402Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6561712Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6561901Z 2022-12-01T10:45:31.6561957Z from user code: 2022-12-01T10:45:31.6562199Z File "/var/lib/jenkins/workspace/test/jit/test_complex.py", line 41, in __init__ 2022-12-01T10:45:31.6562437Z super().__init__() 2022-12-01T10:45:31.6562546Z 2022-12-01T10:45:31.6562679Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6562881Z ========== 2022-12-01T10:45:31.6563037Z ok (0.012s) 2022-12-01T10:45:31.6563255Z test_script (jit.test_complex.TestComplex) ... ok (0.005s) 2022-12-01T10:45:31.6563527Z test_tensor_attributes (jit.test_complex.TestComplex) ... ok (0.022s) 2022-12-01T10:45:31.6563849Z test_torch_complex_constructor_with_tensor (jit.test_complex.TestComplex) ... ok (0.131s) 2022-12-01T10:45:31.6564210Z test_calling_scripted_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.018s) 2022-12-01T10:45:31.6564868Z test_calling_traced_custom_op (jit.test_custom_operators.TestCustomOperators) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_calling_traced_custom_op /var/lib/jenkins/workspace/test/jit/test_custom_operators.py line 99 2022-12-01T10:45:31.6565261Z due to: 2022-12-01T10:45:31.6565445Z Traceback (most recent call last): 2022-12-01T10:45:31.6565795Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6566096Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6566468Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6566656Z 2022-12-01T10:45:31.6566726Z from user code: 2022-12-01T10:45:31.6567162Z File "/var/lib/jenkins/workspace/test/jit/test_custom_operators.py", line 101, in test_calling_traced_custom_op 2022-12-01T10:45:31.6567487Z func = torch.jit.trace(torch.ops.aten.relu, [input]) 2022-12-01T10:45:31.6567640Z 2022-12-01T10:45:31.6567774Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6567988Z ========== 2022-12-01T10:45:31.6568132Z ok (0.010s) 2022-12-01T10:45:31.6568486Z test_default_arguments_are_used (jit.test_custom_operators.TestCustomOperators) ... ok (0.010s) 2022-12-01T10:45:31.6568854Z test_dynamic_op_registry (jit.test_custom_operators.TestCustomOperators) ... ok (0.189s) 2022-12-01T10:45:31.6569535Z test_generic_list (jit.test_custom_operators.TestCustomOperators) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_generic_list /var/lib/jenkins/workspace/test/jit/test_custom_operators.py line 124 2022-12-01T10:45:31.6569906Z due to: 2022-12-01T10:45:31.6570090Z Traceback (most recent call last): 2022-12-01T10:45:31.6570366Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6570784Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6571194Z AssertionError: torch.* op returned non-Tensor str call_function _test.get_first 2022-12-01T10:45:31.6571371Z 2022-12-01T10:45:31.6571441Z from user code: 2022-12-01T10:45:31.6571698Z File "/var/lib/jenkins/workspace/test/jit/test_custom_operators.py", line 125, in test_generic_list 2022-12-01T10:45:31.6572071Z self.assertEqual(torch.ops._test.get_first([['hello']]), 'hello') 2022-12-01T10:45:31.6572235Z 2022-12-01T10:45:31.6572371Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6572586Z ========== 2022-12-01T10:45:31.6572729Z ok (0.006s) 2022-12-01T10:45:31.6573003Z test_passing_and_returning_lists (jit.test_custom_operators.TestCustomOperators) ... ok (0.011s) 2022-12-01T10:45:31.6573391Z test_passing_one_positional_but_not_the_second (jit.test_custom_operators.TestCustomOperators) ... ok (0.006s) 2022-12-01T10:45:31.6573755Z test_passing_too_few_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.006s) 2022-12-01T10:45:31.6574108Z test_passing_too_many_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.006s) 2022-12-01T10:45:31.6574464Z test_passing_unknown_kwargs (jit.test_custom_operators.TestCustomOperators) ... ok (0.006s) 2022-12-01T10:45:31.6575166Z test_script_graph_contains_custom_op (jit.test_custom_operators.TestCustomOperators) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_custom_operators.py line 115 2022-12-01T10:45:31.6575573Z due to: 2022-12-01T10:45:31.6575754Z Traceback (most recent call last): 2022-12-01T10:45:31.6576036Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6576322Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6576772Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6576997Z 2022-12-01T10:45:31.6577068Z from user code: 2022-12-01T10:45:31.6577372Z File "/var/lib/jenkins/workspace/test/jit/test_custom_operators.py", line 118, in 2022-12-01T10:45:31.6577757Z self.assertExpectedInline(canonical(func.graph), '''\ 2022-12-01T10:45:31.6577916Z 2022-12-01T10:45:31.6578048Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6578264Z ========== 2022-12-01T10:45:31.6578408Z ok (0.019s) 2022-12-01T10:45:31.6578776Z test_script_graph_for_custom_ops_matches_traced_graph (jit.test_custom_operators.TestCustomOperators) ... skip: Need to figure out default dtype differences between fbcode and oss (0.000s) 2022-12-01T10:45:31.6579232Z test_simply_calling_an_operator (jit.test_custom_operators.TestCustomOperators) ... ok (0.010s) 2022-12-01T10:45:31.6579641Z test_where_no_scalar (jit.test_custom_operators.TestCustomOperators) ... ok (0.011s) 2022-12-01T10:45:31.6579937Z test_setattr_no_aliasdb (jit.test_dce.TestDCE) ... ok (0.009s) 2022-12-01T10:45:31.6580205Z test_setattr_removed (jit.test_dce.TestDCE) ... ok (0.010s) 2022-12-01T10:45:31.6580634Z test_python_submodule_script (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-12-01T10:45:31.6581105Z test_shared_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-12-01T10:45:31.6581604Z test_tensor_sharing (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s) 2022-12-01T10:45:31.6582090Z test_tensor_sharing_with_forward (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s) 2022-12-01T10:45:31.6582566Z test_traced_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-12-01T10:45:31.6583195Z test__post_init__ (jit.test_dataclasses.TestDataclasses) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /opt/conda/lib/python3.7/site-packages/hypothesis/strategies/_internal/numbers.py line 152 2022-12-01T10:45:31.6583566Z due to: 2022-12-01T10:45:31.6583752Z Traceback (most recent call last): 2022-12-01T10:45:31.6584046Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6584329Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6584664Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6584833Z 2022-12-01T10:45:31.6584906Z from user code: 2022-12-01T10:45:31.6585260Z File "/opt/conda/lib/python3.7/site-packages/hypothesis/strategies/_internal/numbers.py", line 153, in __init__ 2022-12-01T10:45:31.6585550Z SearchStrategy.__init__(self) 2022-12-01T10:45:31.6585676Z 2022-12-01T10:45:31.6585808Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6586029Z ========== 2022-12-01T10:45:31.6586172Z ok (3.822s) 2022-12-01T10:45:31.6586414Z test_comparators (jit.test_dataclasses.TestDataclasses) ... ok (4.559s) 2022-12-01T10:45:31.6586730Z test_custom__eq__ (jit.test_dataclasses.TestDataclasses) ... ok (0.023s) 2022-12-01T10:45:31.6587035Z test_default_factories (jit.test_dataclasses.TestDataclasses) ... ok (0.015s) 2022-12-01T10:45:31.6587401Z test_init_vars (jit.test_dataclasses.TestDataclasses) ... skip: InitVar not supported in Python < 3.8 (0.001s) 2022-12-01T10:45:31.6587747Z test_no_source (jit.test_dataclasses.TestDataclasses) ... ok (0.019s) 2022-12-01T10:45:31.6588075Z test_use_unregistered_dataclass_raises (jit.test_dataclasses.TestDataclasses) ... ok (0.008s) 2022-12-01T10:45:31.6588425Z test_custom_device_op (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.073s) 2022-12-01T10:45:31.6589056Z test_device_apply (jit.test_device_analysis.TestDeviceAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_device_analysis.py line 81 2022-12-01T10:45:31.6589435Z due to: 2022-12-01T10:45:31.6589604Z Traceback (most recent call last): 2022-12-01T10:45:31.6589889Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6590191Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6590635Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6590851Z 2022-12-01T10:45:31.6590921Z from user code: 2022-12-01T10:45:31.6591205Z File "/var/lib/jenkins/workspace/test/jit/test_device_analysis.py", line 81, in 2022-12-01T10:45:31.6591509Z graph = torch.jit.script(add_self).graph 2022-12-01T10:45:31.6591648Z 2022-12-01T10:45:31.6591766Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6592020Z ========== 2022-12-01T10:45:31.6592177Z ok (0.009s) 2022-12-01T10:45:31.6592412Z test_device_arg (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.060s) 2022-12-01T10:45:31.6592754Z test_device_if_propagation (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.058s) 2022-12-01T10:45:31.6593091Z test_if_loop_mix (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.034s) 2022-12-01T10:45:31.6593422Z test_loop_device_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.007s) 2022-12-01T10:45:31.6593744Z test_loop_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.006s) 2022-12-01T10:45:31.6594385Z test_mobilenet (jit.test_device_analysis.TestDeviceAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 144 2022-12-01T10:45:31.6594746Z due to: 2022-12-01T10:45:31.6594915Z Traceback (most recent call last): 2022-12-01T10:45:31.6595206Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.6595516Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.6595733Z AssertionError: type 2022-12-01T10:45:31.6595836Z 2022-12-01T10:45:31.6595904Z from user code: 2022-12-01T10:45:31.6596261Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 171, in __init__ 2022-12-01T10:45:31.6596526Z torch.nn.Conv2d, 2022-12-01T10:45:31.6596637Z 2022-12-01T10:45:31.6596755Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6596971Z ========== 2022-12-01T10:45:31.6597127Z ok (4.614s) 2022-12-01T10:45:31.6597368Z test_nested_loops (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.008s) 2022-12-01T10:45:31.6597697Z test_set_dtype (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.006s) 2022-12-01T10:45:31.6598017Z test_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.008s) 2022-12-01T10:45:31.6598340Z test_tensor_as_fns (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.013s) 2022-12-01T10:45:31.6598654Z test_while_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.007s) 2022-12-01T10:45:31.6598979Z test_zerodim_cpu (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.107s) 2022-12-01T10:45:31.6599316Z test_zerodim_gpu (jit.test_device_analysis.TestDeviceAnalysis) ... skip: No CUDA (0.000s) 2022-12-01T10:45:31.6599647Z test_zerodim_no_device (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.025s) 2022-12-01T10:45:31.6600010Z test_aug_assign (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.002s) 2022-12-01T10:45:31.6600386Z test_basic (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.002s) 2022-12-01T10:45:31.6600750Z test_clear (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6601107Z test_copy (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6601470Z test_del (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6601846Z test_dict_bool_conversion (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6602239Z test_dict_preserves_order (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6602618Z test_dict_to_python (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6602933Z test_dict_variance (jit.test_list_dict.TestDict) 2022-12-01T10:45:31.6603259Z `Dict[T1, _]` is not a subtype of `Dict[T2, _]`, even if `T1` is ... skip: TorchDynamo fails for this test for unknown reason (0.002s) 2022-12-01T10:45:31.6603633Z test_get (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6604034Z test_get_boolkey (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6604410Z test_items (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6604781Z test_key_type (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6605150Z test_keys (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6605531Z test_len (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6605896Z test_loop (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6606269Z test_membership (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6606636Z test_mutability (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6607210Z test_optional_dict_construct (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6607610Z test_ordered_dict (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.002s) 2022-12-01T10:45:31.6607982Z test_pop (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6608409Z test_popitem (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6608789Z test_setdefault (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6609132Z test_type_annotation_missing_contained_type (jit.test_list_dict.TestDict) 2022-12-01T10:45:31.6609502Z Test that the use of a Dict type annotation without contained ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6609879Z test_update (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6610261Z test_update_existing_key (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6610645Z test_values (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6611015Z test_view (jit.test_list_dict.TestDict) ... skip: TorchDynamo fails for this test for unknown reason (0.001s) 2022-12-01T10:45:31.6611609Z test_binary_scalar (jit.test_dtype_analysis.TestDtypeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT setUp /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py line 92 2022-12-01T10:45:31.6611958Z due to: 2022-12-01T10:45:31.6612141Z Traceback (most recent call last): 2022-12-01T10:45:31.6612408Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6612836Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6613378Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.6613630Z 2022-12-01T10:45:31.6613700Z from user code: 2022-12-01T10:45:31.6613939Z File "/var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py", line 94, in setUp 2022-12-01T10:45:31.6614226Z torch._C._jit_symbolic_shapes_test_mode_enabled() 2022-12-01T10:45:31.6614370Z 2022-12-01T10:45:31.6614500Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6614718Z ========== 2022-12-01T10:45:31.6615145Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py line 145 2022-12-01T10:45:31.6615520Z due to: 2022-12-01T10:45:31.6615702Z Traceback (most recent call last): 2022-12-01T10:45:31.6615973Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6616269Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6616714Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6616937Z 2022-12-01T10:45:31.6617006Z from user code: 2022-12-01T10:45:31.6617365Z File "/var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py", line 145, in 2022-12-01T10:45:31.6617709Z graph = torch.jit.script(fn).graph # Note this is a cached graph 2022-12-01T10:45:31.6617871Z 2022-12-01T10:45:31.6618002Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6618209Z ========== 2022-12-01T10:45:31.6618590Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tearDown /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py line 98 2022-12-01T10:45:31.6618869Z due to: 2022-12-01T10:45:31.6619039Z Traceback (most recent call last): 2022-12-01T10:45:31.6619315Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6619743Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6620279Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.6620528Z 2022-12-01T10:45:31.6620585Z from user code: 2022-12-01T10:45:31.6620838Z File "/var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py", line 100, in tearDown 2022-12-01T10:45:31.6621107Z self.prev_symbolic_shapes_test_enabled 2022-12-01T10:45:31.6621244Z 2022-12-01T10:45:31.6621372Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6621577Z ========== 2022-12-01T10:45:31.6621733Z ok (0.112s) 2022-12-01T10:45:31.6622418Z test_binary_tensors (jit.test_dtype_analysis.TestDtypeAnalysis) ... /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py:165: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-12-01T10:45:31.6622913Z rand_tensor = torch.rand(shape, dtype=dtype) 2022-12-01T10:45:31.6623111Z ok (0.157s) 2022-12-01T10:45:31.6623357Z test_combined (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.067s) 2022-12-01T10:45:31.6623679Z test_conv_no_mixed_args (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.071s) 2022-12-01T10:45:31.6624005Z test_custom_rules (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.067s) 2022-12-01T10:45:31.6624318Z test_unary (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.072s) 2022-12-01T10:45:31.6624736Z test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.034s) 2022-12-01T10:45:31.6625228Z test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.010s) 2022-12-01T10:45:31.6625705Z test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.039s) 2022-12-01T10:45:31.6626156Z test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.033s) 2022-12-01T10:45:31.6626603Z test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.011s) 2022-12-01T10:45:31.6627036Z test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6627515Z test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6627962Z test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6628402Z test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.011s) 2022-12-01T10:45:31.6628833Z test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6629301Z test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6629743Z test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6630190Z test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6630613Z test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6631055Z test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6631495Z test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6631936Z test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6632372Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.029s) 2022-12-01T10:45:31.6632571Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6632776Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6632978Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.012s) 2022-12-01T10:45:31.6633185Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.029s) 2022-12-01T10:45:31.6633393Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6633593Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6633796Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6634005Z test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6634208Z test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.029s) 2022-12-01T10:45:31.6634411Z test_custom_rules_ints_nn_functional_avg_pool3d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6634605Z test_custom_rules_ints_nn_functional_batch_norm_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6634812Z test_custom_rules_ints_nn_functional_batch_norm_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6635012Z test_custom_rules_ints_nn_functional_batch_norm_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6635245Z test_custom_rules_ints_nn_functional_conv1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.031s) 2022-12-01T10:45:31.6635451Z test_custom_rules_ints_nn_functional_conv1d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.014s) 2022-12-01T10:45:31.6635654Z test_custom_rules_ints_nn_functional_conv1d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.014s) 2022-12-01T10:45:31.6635857Z test_custom_rules_ints_nn_functional_conv1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.030s) 2022-12-01T10:45:31.6636088Z test_custom_rules_ints_nn_functional_conv1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6636291Z test_custom_rules_ints_nn_functional_conv1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6636492Z test_custom_rules_ints_nn_functional_conv2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.031s) 2022-12-01T10:45:31.6636686Z test_custom_rules_ints_nn_functional_conv2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6636890Z test_custom_rules_ints_nn_functional_conv2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6637090Z test_custom_rules_ints_nn_functional_conv2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6637293Z test_custom_rules_ints_nn_functional_conv2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6637493Z test_custom_rules_ints_nn_functional_conv2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6637708Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6637923Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6638137Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6638342Z test_custom_rules_ints_nn_functional_hardswish_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6638545Z test_custom_rules_ints_nn_functional_hardswish_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6638735Z test_custom_rules_ints_nn_functional_hardswish_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6638943Z test_custom_rules_ints_nn_functional_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6639146Z test_custom_rules_ints_nn_functional_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6639345Z test_custom_rules_ints_nn_functional_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6639546Z test_custom_rules_ints_nn_functional_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6639743Z test_custom_rules_ints_nn_functional_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6639939Z test_custom_rules_ints_nn_functional_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6640137Z test_custom_rules_ints_nn_functional_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6640371Z test_custom_rules_ints_nn_functional_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.004s) 2022-12-01T10:45:31.6640572Z test_custom_rules_ints_nn_functional_prelu_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.012s) 2022-12-01T10:45:31.6640791Z test_custom_rules_ints_nn_functional_prelu_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6640990Z test_custom_rules_ints_nn_functional_prelu_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6641204Z test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.012s) 2022-12-01T10:45:31.6641444Z test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6641660Z test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6641874Z test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6642087Z test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6642298Z test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6642510Z test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6642720Z test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6642916Z test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6643131Z test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6643343Z test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6643550Z test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6643761Z test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6643971Z test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6644180Z test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6644385Z test_custom_rules_nn_functional_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6644586Z test_custom_rules_nn_functional_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6644789Z test_custom_rules_nn_functional_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6644976Z test_custom_rules_nn_functional_avg_pool1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6645177Z test_custom_rules_nn_functional_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6645377Z test_custom_rules_nn_functional_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6645580Z test_custom_rules_nn_functional_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6645778Z test_custom_rules_nn_functional_avg_pool2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6645975Z test_custom_rules_nn_functional_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6646207Z test_custom_rules_nn_functional_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6646404Z test_custom_rules_nn_functional_avg_pool3d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6646604Z test_custom_rules_nn_functional_batch_norm_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6646802Z test_custom_rules_nn_functional_batch_norm_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6647194Z test_custom_rules_nn_functional_batch_norm_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6647402Z test_custom_rules_nn_functional_conv1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-12-01T10:45:31.6647624Z test_custom_rules_nn_functional_conv1d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.021s) 2022-12-01T10:45:31.6647840Z test_custom_rules_nn_functional_conv1d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.021s) 2022-12-01T10:45:31.6648038Z test_custom_rules_nn_functional_conv1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6648236Z test_custom_rules_nn_functional_conv1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6648504Z test_custom_rules_nn_functional_conv1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6648704Z test_custom_rules_nn_functional_conv2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-12-01T10:45:31.6648922Z test_custom_rules_nn_functional_conv2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.022s) 2022-12-01T10:45:31.6649127Z test_custom_rules_nn_functional_conv2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.022s) 2022-12-01T10:45:31.6649325Z test_custom_rules_nn_functional_conv2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6649520Z test_custom_rules_nn_functional_conv2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6649714Z test_custom_rules_nn_functional_conv2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6649928Z test_custom_rules_nn_functional_conv_transpose2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6650136Z test_custom_rules_nn_functional_conv_transpose2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6650341Z test_custom_rules_nn_functional_conv_transpose2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6650544Z test_custom_rules_nn_functional_hardswish_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6650744Z test_custom_rules_nn_functional_hardswish_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6650944Z test_custom_rules_nn_functional_hardswish_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-12-01T10:45:31.6651135Z test_custom_rules_nn_functional_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6651337Z test_custom_rules_nn_functional_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6651535Z test_custom_rules_nn_functional_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-12-01T10:45:31.6651779Z test_custom_rules_nn_functional_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6651979Z test_custom_rules_nn_functional_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6652177Z test_custom_rules_nn_functional_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6652375Z test_custom_rules_nn_functional_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6652602Z test_custom_rules_nn_functional_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-12-01T10:45:31.6652803Z test_custom_rules_nn_functional_prelu_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6653002Z test_custom_rules_nn_functional_prelu_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6653187Z test_custom_rules_nn_functional_prelu_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-12-01T10:45:31.6653322Z test_closed_over_enum_constant (jit.test_enum.TestEnum) ... ok (0.011s) 2022-12-01T10:45:31.6653442Z test_enum_as_const (jit.test_enum.TestEnum) ... ok (0.008s) 2022-12-01T10:45:31.6653575Z test_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.012s) 2022-12-01T10:45:31.6653691Z test_enum_comp (jit.test_enum.TestEnum) ... ok (0.008s) 2022-12-01T10:45:31.6653821Z test_enum_comp_diff_classes (jit.test_enum.TestEnum) ... ok (0.010s) 2022-12-01T10:45:31.6653951Z test_enum_explicit_script (jit.test_enum.TestEnum) ... ok (0.003s) 2022-12-01T10:45:31.6654070Z test_enum_iterate (jit.test_enum.TestEnum) ... ok (0.010s) 2022-12-01T10:45:31.6654178Z test_enum_ivalue_type (jit.test_enum.TestEnum) ... ok (0.008s) 2022-12-01T10:45:31.6654305Z test_enum_module_return (jit.test_enum.TestEnum) ... ok (0.011s) 2022-12-01T10:45:31.6654420Z test_enum_name (jit.test_enum.TestEnum) ... ok (0.008s) 2022-12-01T10:45:31.6654538Z test_enum_return (jit.test_enum.TestEnum) ... ok (0.008s) 2022-12-01T10:45:31.6654655Z test_enum_value (jit.test_enum.TestEnum) ... ok (0.008s) 2022-12-01T10:45:31.6655039Z test_enum_value_types (jit.test_enum.TestEnum) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TensorEnum /var/lib/jenkins/workspace/test/jit/test_enum.py line 47 2022-12-01T10:45:31.6655107Z due to: 2022-12-01T10:45:31.6655200Z Traceback (most recent call last): 2022-12-01T10:45:31.6655340Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6655425Z raise Unsupported(msg) 2022-12-01T10:45:31.6655551Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6655558Z 2022-12-01T10:45:31.6655629Z from user code: 2022-12-01T10:45:31.6655774Z File "/var/lib/jenkins/workspace/test/jit/test_enum.py", line 47, in TensorEnum 2022-12-01T10:45:31.6655858Z class TensorEnum(Enum): 2022-12-01T10:45:31.6655864Z 2022-12-01T10:45:31.6655994Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6656044Z ========== 2022-12-01T10:45:31.6656109Z ok (0.022s) 2022-12-01T10:45:31.6656253Z test_heterogenous_value_type_enum_error (jit.test_enum.TestEnum) ... ok (0.006s) 2022-12-01T10:45:31.6656383Z test_non_existent_enum_value (jit.test_enum.TestEnum) ... ok (0.006s) 2022-12-01T10:45:31.6656523Z test_string_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.011s) 2022-12-01T10:45:31.6657187Z test_aten_fallback (jit.test_export_modes.TestExportModes) ... /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1886: FutureWarning: 'torch.onnx._patch_torch._aten_op' is deprecated in version 1.13 and will be removed in version 1.14. Please note 'g.at()' is to be removed from torch.Graph. Please open a GitHub issue if you need this functionality.. 2022-12-01T10:45:31.6657252Z **attrs, 2022-12-01T10:45:31.6657812Z /opt/conda/lib/python3.7/site-packages/torch/onnx/_patch_torch.py:114: FutureWarning: 'torch.onnx._patch_torch._graph_op' is deprecated in version 1.13 and will be removed in version 1.14. Please note 'g.op()' is to be removed from torch.Graph. Please open a GitHub issue if you need this functionality.. 2022-12-01T10:45:31.6657909Z **kwargs, 2022-12-01T10:45:31.6657961Z ok (0.007s) 2022-12-01T10:45:31.6658144Z test_caffe2_aten_fallback (jit.test_export_modes.TestExportModes) ... skip: Caffe2 is not available (0.001s) 2022-12-01T10:45:31.6658597Z test_compressed_zipfile (jit.test_export_modes.TestExportModes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_compressed_zipfile /var/lib/jenkins/workspace/test/jit/test_export_modes.py line 48 2022-12-01T10:45:31.6658665Z due to: 2022-12-01T10:45:31.6658756Z Traceback (most recent call last): 2022-12-01T10:45:31.6658927Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6659036Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6659236Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6659242Z 2022-12-01T10:45:31.6659314Z from user code: 2022-12-01T10:45:31.6659469Z File "/var/lib/jenkins/workspace/test/jit/test_export_modes.py", line 49, in test_compressed_zipfile 2022-12-01T10:45:31.6659581Z torch_model = TestExportModes.MyModel() 2022-12-01T10:45:31.6659586Z 2022-12-01T10:45:31.6659716Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6659779Z ========== 2022-12-01T10:45:31.6660064Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_export_modes.py line 28 2022-12-01T10:45:31.6660130Z due to: 2022-12-01T10:45:31.6660221Z Traceback (most recent call last): 2022-12-01T10:45:31.6660375Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6660500Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6660679Z NotImplementedError: GetAttrVariable(UserDefinedClassVariable(), MyModel) is not a constant 2022-12-01T10:45:31.6660684Z 2022-12-01T10:45:31.6660753Z from user code: 2022-12-01T10:45:31.6660901Z File "/var/lib/jenkins/workspace/test/jit/test_export_modes.py", line 29, in __init__ 2022-12-01T10:45:31.6661022Z super(TestExportModes.MyModel, self).__init__() 2022-12-01T10:45:31.6661027Z 2022-12-01T10:45:31.6661158Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6661220Z ========== 2022-12-01T10:45:31.6661628Z /var/lib/jenkins/workspace/test/jit/test_export_modes.py:53: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead. 2022-12-01T10:45:31.6661762Z export_type=torch.onnx.ExportTypes.COMPRESSED_ZIP_ARCHIVE) 2022-12-01T10:45:31.6661829Z ok (0.008s) 2022-12-01T10:45:31.6662224Z test_directory (jit.test_export_modes.TestExportModes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_directory /var/lib/jenkins/workspace/test/jit/test_export_modes.py line 55 2022-12-01T10:45:31.6662292Z due to: 2022-12-01T10:45:31.6662383Z Traceback (most recent call last): 2022-12-01T10:45:31.6662552Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6662658Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6662856Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6662862Z 2022-12-01T10:45:31.6662918Z from user code: 2022-12-01T10:45:31.6663074Z File "/var/lib/jenkins/workspace/test/jit/test_export_modes.py", line 56, in test_directory 2022-12-01T10:45:31.6663187Z torch_model = TestExportModes.MyModel() 2022-12-01T10:45:31.6663192Z 2022-12-01T10:45:31.6663324Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6663387Z ========== 2022-12-01T10:45:31.6663795Z /var/lib/jenkins/workspace/test/jit/test_export_modes.py:60: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead. 2022-12-01T10:45:31.6663960Z export_type=torch.onnx.ExportTypes.DIRECTORY) 2022-12-01T10:45:31.6664026Z ok (0.007s) 2022-12-01T10:45:31.6664155Z test_onnx_aten (jit.test_export_modes.TestExportModes) ... ok (0.005s) 2022-12-01T10:45:31.6664670Z test_onnx_multiple_return (jit.test_export_modes.TestExportModes) ... /var/lib/jenkins/workspace/test/jit/test_export_modes.py:67: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead. 2022-12-01T10:45:31.6664783Z f = io.BytesIO() 2022-12-01T10:45:31.6664851Z ok (0.040s) 2022-12-01T10:45:31.6665239Z test_protobuf (jit.test_export_modes.TestExportModes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_protobuf /var/lib/jenkins/workspace/test/jit/test_export_modes.py line 34 2022-12-01T10:45:31.6665306Z due to: 2022-12-01T10:45:31.6665399Z Traceback (most recent call last): 2022-12-01T10:45:31.6665567Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6665659Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6665857Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6665863Z 2022-12-01T10:45:31.6665932Z from user code: 2022-12-01T10:45:31.6666087Z File "/var/lib/jenkins/workspace/test/jit/test_export_modes.py", line 35, in test_protobuf 2022-12-01T10:45:31.6666199Z torch_model = TestExportModes.MyModel() 2022-12-01T10:45:31.6666205Z 2022-12-01T10:45:31.6666337Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6666401Z ========== 2022-12-01T10:45:31.6666803Z /var/lib/jenkins/workspace/test/jit/test_export_modes.py:39: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead. 2022-12-01T10:45:31.6666939Z export_type=torch.onnx.ExportTypes.PROTOBUF_FILE) 2022-12-01T10:45:31.6666993Z ok (0.006s) 2022-12-01T10:45:31.6667380Z test_zipfile (jit.test_export_modes.TestExportModes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_zipfile /var/lib/jenkins/workspace/test/jit/test_export_modes.py line 41 2022-12-01T10:45:31.6667445Z due to: 2022-12-01T10:45:31.6667537Z Traceback (most recent call last): 2022-12-01T10:45:31.6667705Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.6667809Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.6668010Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.6668015Z 2022-12-01T10:45:31.6668084Z from user code: 2022-12-01T10:45:31.6668225Z File "/var/lib/jenkins/workspace/test/jit/test_export_modes.py", line 42, in test_zipfile 2022-12-01T10:45:31.6668339Z torch_model = TestExportModes.MyModel() 2022-12-01T10:45:31.6668345Z 2022-12-01T10:45:31.6668474Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6668537Z ========== 2022-12-01T10:45:31.6668939Z /var/lib/jenkins/workspace/test/jit/test_export_modes.py:46: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead. 2022-12-01T10:45:31.6669062Z export_type=torch.onnx.ExportTypes.ZIP_ARCHIVE) 2022-12-01T10:45:31.6669127Z ok (0.006s) 2022-12-01T10:45:31.6669263Z test_freeze_module (jit.test_freezing.TestFreezing) ... ok (0.024s) 2022-12-01T10:45:31.6669409Z test_freeze_module_detach_gradient (jit.test_freezing.TestFreezing) ... ok (0.086s) 2022-12-01T10:45:31.6669565Z test_freeze_module_in_training_mode (jit.test_freezing.TestFreezing) ... ok (0.231s) 2022-12-01T10:45:31.6669709Z test_freeze_module_inlining (jit.test_freezing.TestFreezing) ... ok (0.015s) 2022-12-01T10:45:31.6670133Z test_freeze_module_no_forward (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FreezeMe /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1063 2022-12-01T10:45:31.6670195Z due to: 2022-12-01T10:45:31.6670285Z Traceback (most recent call last): 2022-12-01T10:45:31.6670436Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6670518Z raise Unsupported(msg) 2022-12-01T10:45:31.6670629Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6670634Z 2022-12-01T10:45:31.6670704Z from user code: 2022-12-01T10:45:31.6670880Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1063, in FreezeMe 2022-12-01T10:45:31.6670968Z class FreezeMe(nn.Module): 2022-12-01T10:45:31.6670973Z 2022-12-01T10:45:31.6671105Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6671167Z ========== 2022-12-01T10:45:31.6671231Z ok (0.015s) 2022-12-01T10:45:31.6671369Z test_freeze_module_return_self (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-12-01T10:45:31.6671521Z test_freeze_module_return_sub_module (jit.test_freezing.TestFreezing) ... ok (0.017s) 2022-12-01T10:45:31.6671674Z test_freeze_module_with_aliased_attr (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-12-01T10:45:31.6671827Z test_freeze_module_with_aliased_attr2 (jit.test_freezing.TestFreezing) ... ok (0.014s) 2022-12-01T10:45:31.6671980Z test_freeze_module_with_aliased_attr3 (jit.test_freezing.TestFreezing) ... ok (0.013s) 2022-12-01T10:45:31.6672143Z test_freeze_module_with_aliased_tensor_attr (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-12-01T10:45:31.6672305Z test_freeze_module_with_aliased_tensor_attr2 (jit.test_freezing.TestFreezing) ... ok (0.016s) 2022-12-01T10:45:31.6672460Z test_freeze_module_with_aliased_tensor_attr3 (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-12-01T10:45:31.6672612Z test_freeze_module_with_aliased_tensor_attr4 (jit.test_freezing.TestFreezing) ... ok (0.014s) 2022-12-01T10:45:31.6672999Z test_freeze_module_with_call_method (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Mod /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1590 2022-12-01T10:45:31.6673064Z due to: 2022-12-01T10:45:31.6673155Z Traceback (most recent call last): 2022-12-01T10:45:31.6673304Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6673384Z raise Unsupported(msg) 2022-12-01T10:45:31.6673505Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6673511Z 2022-12-01T10:45:31.6673578Z from user code: 2022-12-01T10:45:31.6673709Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1590, in Mod 2022-12-01T10:45:31.6673786Z class Mod(nn.Module): 2022-12-01T10:45:31.6673791Z 2022-12-01T10:45:31.6673921Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6673981Z ========== 2022-12-01T10:45:31.6674048Z ok (0.016s) 2022-12-01T10:45:31.6674190Z test_freeze_module_with_fork (jit.test_freezing.TestFreezing) ... ok (0.019s) 2022-12-01T10:45:31.6674331Z test_freeze_module_with_fork2 (jit.test_freezing.TestFreezing) ... ok (0.021s) 2022-12-01T10:45:31.6674760Z test_freeze_module_with_fork_calling_module_method (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_freezing.py line 308 2022-12-01T10:45:31.6674811Z due to: 2022-12-01T10:45:31.6674902Z Traceback (most recent call last): 2022-12-01T10:45:31.6675047Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6675129Z raise Unsupported(msg) 2022-12-01T10:45:31.6675251Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6675256Z 2022-12-01T10:45:31.6675322Z from user code: 2022-12-01T10:45:31.6675473Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 308, in TestModule 2022-12-01T10:45:31.6675588Z class TestModule(nn.Module): 2022-12-01T10:45:31.6675592Z 2022-12-01T10:45:31.6675721Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6675782Z ========== 2022-12-01T10:45:31.6675847Z ok (0.023s) 2022-12-01T10:45:31.6676006Z test_freeze_module_with_helperfunction (jit.test_freezing.TestFreezing) ... ok (0.017s) 2022-12-01T10:45:31.6676418Z test_freeze_module_with_inplace_mutable (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FreezeMe /var/lib/jenkins/workspace/test/jit/test_freezing.py line 656 2022-12-01T10:45:31.6676482Z due to: 2022-12-01T10:45:31.6676572Z Traceback (most recent call last): 2022-12-01T10:45:31.6676738Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6676822Z raise Unsupported(msg) 2022-12-01T10:45:31.6676941Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6676945Z 2022-12-01T10:45:31.6677013Z from user code: 2022-12-01T10:45:31.6677160Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 656, in FreezeMe 2022-12-01T10:45:31.6677270Z class FreezeMe(torch.jit.ScriptModule): 2022-12-01T10:45:31.6677276Z 2022-12-01T10:45:31.6677406Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6677454Z ========== 2022-12-01T10:45:31.6677731Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_freezing.py line 657 2022-12-01T10:45:31.6677795Z due to: 2022-12-01T10:45:31.6677885Z Traceback (most recent call last): 2022-12-01T10:45:31.6678051Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6678177Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6678338Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6678344Z 2022-12-01T10:45:31.6678412Z from user code: 2022-12-01T10:45:31.6678544Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 658, in __init__ 2022-12-01T10:45:31.6678628Z super(FreezeMe, self).__init__() 2022-12-01T10:45:31.6678633Z 2022-12-01T10:45:31.6678761Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6678823Z ========== 2022-12-01T10:45:31.6678887Z ok (0.012s) 2022-12-01T10:45:31.6679029Z test_freeze_module_with_list (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-12-01T10:45:31.6679431Z test_freeze_module_with_mutable_dict (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FreezeMe /var/lib/jenkins/workspace/test/jit/test_freezing.py line 705 2022-12-01T10:45:31.6679492Z due to: 2022-12-01T10:45:31.6679573Z Traceback (most recent call last): 2022-12-01T10:45:31.6679718Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6679798Z raise Unsupported(msg) 2022-12-01T10:45:31.6679920Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6679926Z 2022-12-01T10:45:31.6679993Z from user code: 2022-12-01T10:45:31.6680137Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 705, in FreezeMe 2022-12-01T10:45:31.6680220Z class FreezeMe(nn.Module): 2022-12-01T10:45:31.6680225Z 2022-12-01T10:45:31.6680354Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6680403Z ========== 2022-12-01T10:45:31.6680466Z ok (0.012s) 2022-12-01T10:45:31.6680618Z test_freeze_module_with_mutable_list (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-12-01T10:45:31.6680771Z test_freeze_module_with_mutable_tensor (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-12-01T10:45:31.6680923Z test_freeze_module_with_nested_fork (jit.test_freezing.TestFreezing) ... ok (0.030s) 2022-12-01T10:45:31.6681332Z test_freeze_module_with_nestedaliasing (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubModule /var/lib/jenkins/workspace/test/jit/test_freezing.py line 440 2022-12-01T10:45:31.6681423Z due to: 2022-12-01T10:45:31.6681501Z Traceback (most recent call last): 2022-12-01T10:45:31.6681649Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6681726Z raise Unsupported(msg) 2022-12-01T10:45:31.6681848Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6681853Z 2022-12-01T10:45:31.6681921Z from user code: 2022-12-01T10:45:31.6682067Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 440, in SubModule 2022-12-01T10:45:31.6682152Z class SubModule(nn.Module): 2022-12-01T10:45:31.6682157Z 2022-12-01T10:45:31.6682286Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6682363Z ========== 2022-12-01T10:45:31.6682427Z ok (0.032s) 2022-12-01T10:45:31.6682849Z test_freeze_module_with_nestedaliasingscalar (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubModule /var/lib/jenkins/workspace/test/jit/test_freezing.py line 496 2022-12-01T10:45:31.6682914Z due to: 2022-12-01T10:45:31.6683002Z Traceback (most recent call last): 2022-12-01T10:45:31.6683148Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6683229Z raise Unsupported(msg) 2022-12-01T10:45:31.6683349Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6683354Z 2022-12-01T10:45:31.6683410Z from user code: 2022-12-01T10:45:31.6683553Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 496, in SubModule 2022-12-01T10:45:31.6683635Z class SubModule(nn.Module): 2022-12-01T10:45:31.6683640Z 2022-12-01T10:45:31.6683766Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6683825Z ========== 2022-12-01T10:45:31.6683888Z ok (0.034s) 2022-12-01T10:45:31.6684047Z test_freeze_module_with_non_static_module_container_index (jit.test_freezing.TestFreezing) 2022-12-01T10:45:31.6684438Z Test that Modules containing non-static ModuleDict or ModuleList ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModWithDict /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1503 2022-12-01T10:45:31.6684492Z due to: 2022-12-01T10:45:31.6684579Z Traceback (most recent call last): 2022-12-01T10:45:31.6684727Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6684803Z raise Unsupported(msg) 2022-12-01T10:45:31.6684920Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6684924Z 2022-12-01T10:45:31.6684992Z from user code: 2022-12-01T10:45:31.6685137Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1503, in ModWithDict 2022-12-01T10:45:31.6685224Z class ModWithDict(torch.nn.Module): 2022-12-01T10:45:31.6685238Z 2022-12-01T10:45:31.6685355Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6685412Z ========== 2022-12-01T10:45:31.6685703Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModWithList /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1517 2022-12-01T10:45:31.6685763Z due to: 2022-12-01T10:45:31.6685850Z Traceback (most recent call last): 2022-12-01T10:45:31.6685995Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6686072Z raise Unsupported(msg) 2022-12-01T10:45:31.6686180Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6686185Z 2022-12-01T10:45:31.6686249Z from user code: 2022-12-01T10:45:31.6686393Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1517, in ModWithList 2022-12-01T10:45:31.6686487Z class ModWithList(torch.nn.Module): 2022-12-01T10:45:31.6686492Z 2022-12-01T10:45:31.6686622Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6686679Z ========== 2022-12-01T10:45:31.6686740Z ok (0.059s) 2022-12-01T10:45:31.6686889Z test_freeze_module_with_overlapping_attrs (jit.test_freezing.TestFreezing) ... ok (0.016s) 2022-12-01T10:45:31.6687248Z test_freeze_module_with_preserve_sub_module (jit.test_freezing.TestFreezing) ... ok (0.018s) 2022-12-01T10:45:31.6687490Z test_freeze_module_with_preserve_sub_module_and_mutation (jit.test_freezing.TestFreezing) ... ok (0.021s) 2022-12-01T10:45:31.6687914Z test_freeze_module_with_sharedclasstype (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubModule /var/lib/jenkins/workspace/test/jit/test_freezing.py line 348 2022-12-01T10:45:31.6687982Z due to: 2022-12-01T10:45:31.6688075Z Traceback (most recent call last): 2022-12-01T10:45:31.6688223Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6688357Z raise Unsupported(msg) 2022-12-01T10:45:31.6688526Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6688533Z 2022-12-01T10:45:31.6688590Z from user code: 2022-12-01T10:45:31.6688739Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 348, in SubModule 2022-12-01T10:45:31.6688822Z class SubModule(nn.Module): 2022-12-01T10:45:31.6688829Z 2022-12-01T10:45:31.6688958Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6689022Z ========== 2022-12-01T10:45:31.6689086Z ok (0.034s) 2022-12-01T10:45:31.6689238Z test_freeze_module_with_submodule (jit.test_freezing.TestFreezing) ... ok (0.024s) 2022-12-01T10:45:31.6689372Z test_freeze_module_with_tensor (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-12-01T10:45:31.6689515Z test_freeze_module_with_tuple (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-12-01T10:45:31.6689682Z test_freeze_module_with_tupleoutput_submodule (jit.test_freezing.TestFreezing) ... ok (0.016s) 2022-12-01T10:45:31.6689846Z test_freeze_module_with_user_preserved_attr (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-12-01T10:45:31.6690028Z test_freeze_module_with_user_preserved_attribute_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.019s) 2022-12-01T10:45:31.6690490Z test_freeze_module_with_user_preserved_attribute_on_unused_submodule (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubModule /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1348 2022-12-01T10:45:31.6690554Z due to: 2022-12-01T10:45:31.6690645Z Traceback (most recent call last): 2022-12-01T10:45:31.6690795Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6690864Z raise Unsupported(msg) 2022-12-01T10:45:31.6690986Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6690991Z 2022-12-01T10:45:31.6691061Z from user code: 2022-12-01T10:45:31.6691208Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1348, in SubModule 2022-12-01T10:45:31.6691295Z class SubModule(nn.Module): 2022-12-01T10:45:31.6691300Z 2022-12-01T10:45:31.6691430Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6691490Z ========== 2022-12-01T10:45:31.6691543Z ok (0.016s) 2022-12-01T10:45:31.6691964Z test_freeze_module_with_user_preserved_method (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Module /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1261 2022-12-01T10:45:31.6692028Z due to: 2022-12-01T10:45:31.6692118Z Traceback (most recent call last): 2022-12-01T10:45:31.6692265Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6692345Z raise Unsupported(msg) 2022-12-01T10:45:31.6692466Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6692471Z 2022-12-01T10:45:31.6692538Z from user code: 2022-12-01T10:45:31.6692670Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1261, in Module 2022-12-01T10:45:31.6692752Z class Module(nn.Module): 2022-12-01T10:45:31.6692757Z 2022-12-01T10:45:31.6692885Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6692946Z ========== 2022-12-01T10:45:31.6693009Z ok (0.013s) 2022-12-01T10:45:31.6693426Z test_freeze_module_with_user_preserved_method2 (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Module /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1292 2022-12-01T10:45:31.6693521Z due to: 2022-12-01T10:45:31.6693609Z Traceback (most recent call last): 2022-12-01T10:45:31.6693746Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6693825Z raise Unsupported(msg) 2022-12-01T10:45:31.6693944Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6693949Z 2022-12-01T10:45:31.6694019Z from user code: 2022-12-01T10:45:31.6694160Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1292, in Module 2022-12-01T10:45:31.6694268Z class Module(nn.Module): 2022-12-01T10:45:31.6694273Z 2022-12-01T10:45:31.6694400Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6694459Z ========== 2022-12-01T10:45:31.6694511Z ok (0.012s) 2022-12-01T10:45:31.6694691Z test_freeze_module_with_user_preserved_method_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.017s) 2022-12-01T10:45:31.6695082Z test_freeze_no_forward (jit.test_freezing.TestFreezing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FreezeMe /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1082 2022-12-01T10:45:31.6695144Z due to: 2022-12-01T10:45:31.6695233Z Traceback (most recent call last): 2022-12-01T10:45:31.6695379Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6695456Z raise Unsupported(msg) 2022-12-01T10:45:31.6695564Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6695568Z 2022-12-01T10:45:31.6695637Z from user code: 2022-12-01T10:45:31.6695784Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1082, in FreezeMe 2022-12-01T10:45:31.6695869Z class FreezeMe(nn.Module): 2022-12-01T10:45:31.6695874Z 2022-12-01T10:45:31.6696002Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6696066Z ========== 2022-12-01T10:45:31.6696127Z ok (0.015s) 2022-12-01T10:45:31.6696281Z test_freeze_non_module_class_getattr (jit.test_freezing.TestFreezing) ... ok (0.018s) 2022-12-01T10:45:31.6696419Z test_module_getattr_indirection (jit.test_freezing.TestFreezing) ... ok (0.015s) 2022-12-01T10:45:31.6696896Z test_module_with_shared_type_instances (jit.test_freezing.TestFreezing) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:288: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-12-01T10:45:31.6697016Z "must run observer before calling calculate_qparams. " + 2022-12-01T10:45:31.6697081Z ok (0.137s) 2022-12-01T10:45:31.6697202Z test_instancing_error (__main__.TestFrontend) ... ok (0.015s) 2022-12-01T10:45:31.6697634Z test_collapse_adjacent_conversions (jit.test_freezing.TestFrozenOptimizations) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT setUp /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1617 2022-12-01T10:45:31.6697699Z due to: 2022-12-01T10:45:31.6697789Z Traceback (most recent call last): 2022-12-01T10:45:31.6697930Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6698179Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6698436Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:45:31.6698441Z 2022-12-01T10:45:31.6698508Z from user code: 2022-12-01T10:45:31.6698653Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1618, in setUp 2022-12-01T10:45:31.6698766Z self.default_dtype = torch.get_default_dtype() 2022-12-01T10:45:31.6698772Z 2022-12-01T10:45:31.6698900Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6698960Z ========== 2022-12-01T10:45:31.6699013Z ok (0.060s) 2022-12-01T10:45:31.6699441Z test_conv_add_folding (jit.test_freezing.TestFrozenOptimizations) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_conv_add_folding /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1732 2022-12-01T10:45:31.6699537Z due to: 2022-12-01T10:45:31.6699628Z Traceback (most recent call last): 2022-12-01T10:45:31.6699791Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/misc.py", line 248, in call_function 2022-12-01T10:45:31.6699881Z args[0], UserFunctionVariable 2022-12-01T10:45:31.6699952Z AssertionError 2022-12-01T10:45:31.6699957Z 2022-12-01T10:45:31.6700023Z from user code: 2022-12-01T10:45:31.6700170Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1734, in test_conv_add_folding 2022-12-01T10:45:31.6700280Z @torch.no_grad() 2022-12-01T10:45:31.6700286Z 2022-12-01T10:45:31.6700418Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6700481Z ========== 2022-12-01T10:45:31.6700543Z ok (1.438s) 2022-12-01T10:45:31.6700705Z test_conv_bn_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.502s) 2022-12-01T10:45:31.6700944Z test_conv_bn_folding_autocast_scenario_cuda (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-12-01T10:45:31.6701364Z test_conv_bn_folding_not_forward (jit.test_freezing.TestFrozenOptimizations) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ConvBN /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1676 2022-12-01T10:45:31.6701415Z due to: 2022-12-01T10:45:31.6701505Z Traceback (most recent call last): 2022-12-01T10:45:31.6701651Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6701732Z raise Unsupported(msg) 2022-12-01T10:45:31.6701856Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6701861Z 2022-12-01T10:45:31.6701929Z from user code: 2022-12-01T10:45:31.6702072Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1676, in ConvBN 2022-12-01T10:45:31.6702165Z class ConvBN(torch.nn.Module): 2022-12-01T10:45:31.6702172Z 2022-12-01T10:45:31.6702289Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6702351Z ========== 2022-12-01T10:45:31.6702415Z ok (0.019s) 2022-12-01T10:45:31.6702578Z test_conv_hardswish (jit.test_freezing.TestFrozenOptimizations) ... ok (2.326s) 2022-12-01T10:45:31.6702735Z test_conv_mul_add_bn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.075s) 2022-12-01T10:45:31.6702893Z test_conv_to_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.052s) 2022-12-01T10:45:31.6703084Z test_conv_to_mkldnn_no_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... skip: Testing no mkldnn (0.001s) 2022-12-01T10:45:31.6703273Z test_freeze_conv_relu_fusion (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.002s) 2022-12-01T10:45:31.6703463Z test_freeze_conv_relu_fusion_not_forward (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.001s) 2022-12-01T10:45:31.6703910Z test_freeze_mkdlnn (jit.test_freezing.TestFrozenOptimizations) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_freezing.py line 2032 2022-12-01T10:45:31.6703976Z due to: 2022-12-01T10:45:31.6704063Z Traceback (most recent call last): 2022-12-01T10:45:31.6704278Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.6704375Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.6706183Z NotImplementedError: Could not run 'aten::to_mkldnn' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_mkldnn' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:45:31.6706222Z 2022-12-01T10:45:31.6706389Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:45:31.6706668Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:45:31.6706868Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:45:31.6707097Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:45:31.6707314Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:45:31.6707500Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:45:31.6707673Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.6707860Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.6708050Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:45:31.6708273Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:45:31.6708475Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6708678Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6708875Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6709075Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6709270Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6709462Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6709636Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6709829Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6710013Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6710204Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6710398Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6710592Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6710805Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6711008Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6711252Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6711459Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:45:31.6711624Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:45:31.6711816Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:45:31.6712039Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:45:31.6712271Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:45:31.6712507Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:45:31.6712699Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:45:31.6712905Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:45:31.6713115Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:45:31.6713326Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:45:31.6713553Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:45:31.6713750Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:45:31.6713767Z 2022-12-01T10:45:31.6713772Z 2022-12-01T10:45:31.6713896Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.6713901Z 2022-12-01T10:45:31.6713992Z Traceback (most recent call last): 2022-12-01T10:45:31.6714218Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:45:31.6714367Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:45:31.6714505Z NotImplementedError: Cannot access storage of OpaqueTensorImpl 2022-12-01T10:45:31.6714510Z 2022-12-01T10:45:31.6714647Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.6714652Z 2022-12-01T10:45:31.6714740Z Traceback (most recent call last): 2022-12-01T10:45:31.6714896Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.6714981Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.6715087Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.6715091Z 2022-12-01T10:45:31.6715159Z from user code: 2022-12-01T10:45:31.6715328Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 2034, in 2022-12-01T10:45:31.6751338Z self.assertEqual(out(inp.to_mkldnn()).to_dense(), conv(inp)) 2022-12-01T10:45:31.6751357Z 2022-12-01T10:45:31.6751540Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6751599Z ========== 2022-12-01T10:45:31.6751663Z ok (0.057s) 2022-12-01T10:45:31.6751852Z test_freeze_remove_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.011s) 2022-12-01T10:45:31.6752038Z test_freeze_remove_feature_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.012s) 2022-12-01T10:45:31.6752198Z test_hardswish_hardsigmoid (jit.test_freezing.TestFrozenOptimizations) ... ok (0.051s) 2022-12-01T10:45:31.6752372Z test_incompatible_perf_formats (jit.test_freezing.TestFrozenOptimizations) ... ok (0.163s) 2022-12-01T10:45:31.6752702Z test_linear_concat (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-12-01T10:45:31.6752858Z test_linear_concat_complex (jit.test_freezing.TestFrozenOptimizations) 2022-12-01T10:45:31.6753056Z Testing that the interleaving of multiple optimizations does not ... skip: Optimization currently only run for GPU (0.001s) 2022-12-01T10:45:31.6753223Z test_linear_concat_different_input (jit.test_freezing.TestFrozenOptimizations) 2022-12-01T10:45:31.6753455Z There should be no change to the graph due to the optimization pass ... skip: Optimization currently only run for GPU (0.001s) 2022-12-01T10:45:31.6753676Z test_linear_multiple_blocks (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-12-01T10:45:31.6754195Z test_linear_non_constant_weight (jit.test_freezing.TestFrozenOptimizations) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_freezing.py line 2101 2022-12-01T10:45:31.6754251Z due to: 2022-12-01T10:45:31.6754342Z Traceback (most recent call last): 2022-12-01T10:45:31.6754501Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6754753Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6754992Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6754998Z 2022-12-01T10:45:31.6755064Z from user code: 2022-12-01T10:45:31.6755252Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 2104, in 2022-12-01T10:45:31.6755413Z FileCheck().check_count("aten::linear", orig_linears, exactly=True).run(op_graph) 2022-12-01T10:45:31.6755418Z 2022-12-01T10:45:31.6755551Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6755601Z ========== 2022-12-01T10:45:31.6755664Z ok (0.024s) 2022-12-01T10:45:31.6755829Z test_linear_transpose (jit.test_freezing.TestFrozenOptimizations) ... ok (0.019s) 2022-12-01T10:45:31.6755987Z test_maxpool_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.197s) 2022-12-01T10:45:31.6756162Z test_mkldnn_fuser_broadcasting (jit.test_freezing.TestFrozenOptimizations) ... ok (0.037s) 2022-12-01T10:45:31.6756579Z test_mkldnn_inplace_removal (jit.test_freezing.TestFrozenOptimizations) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_freezing.py line 2173 2022-12-01T10:45:31.6756643Z due to: 2022-12-01T10:45:31.6756733Z Traceback (most recent call last): 2022-12-01T10:45:31.6756879Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:45:31.6757008Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:45:31.6757234Z RuntimeError: a leaf Variable that requires grad is being used in an in-place operation. 2022-12-01T10:45:31.6757240Z 2022-12-01T10:45:31.6757374Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.6757379Z 2022-12-01T10:45:31.6757469Z Traceback (most recent call last): 2022-12-01T10:45:31.6757619Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.6757712Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.6757818Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.6757823Z 2022-12-01T10:45:31.6757880Z from user code: 2022-12-01T10:45:31.6758025Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 2174, in forward 2022-12-01T10:45:31.6758183Z return x.add_(self.tensor).div_(self.tensor) - 4 2022-12-01T10:45:31.6758188Z 2022-12-01T10:45:31.6758315Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6758408Z ========== 2022-12-01T10:45:31.6758471Z ok (0.023s) 2022-12-01T10:45:31.6758942Z test_optimize_freeze_module (jit.test_freezing.TestFrozenOptimizations) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_freezing.py line 1976 2022-12-01T10:45:31.6759000Z due to: 2022-12-01T10:45:31.6759079Z Traceback (most recent call last): 2022-12-01T10:45:31.6759225Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6759470Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6759741Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6759747Z 2022-12-01T10:45:31.6759817Z from user code: 2022-12-01T10:45:31.6760000Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 1978, in 2022-12-01T10:45:31.6760118Z FileCheck().check("batch_norm").run(frozen_mod.graph) 2022-12-01T10:45:31.6760123Z 2022-12-01T10:45:31.6760249Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6760299Z ========== 2022-12-01T10:45:31.6760356Z ok (0.052s) 2022-12-01T10:45:31.6760520Z test_pool2d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (0.287s) 2022-12-01T10:45:31.6760680Z test_pool3d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (0.839s) 2022-12-01T10:45:31.6760835Z test_remove_detach (jit.test_freezing.TestFrozenOptimizations) ... ok (0.013s) 2022-12-01T10:45:31.6761007Z test_remove_detach_not_applied (jit.test_freezing.TestFrozenOptimizations) ... ok (0.011s) 2022-12-01T10:45:31.6761156Z test_scalar_mul (jit.test_freezing.TestFrozenOptimizations) ... ok (0.064s) 2022-12-01T10:45:31.6761631Z test_subgraph_creation (jit.test_functional_blocks.TestFunctionalBlocks) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_functional_blocks.py line 32 2022-12-01T10:45:31.6761689Z due to: 2022-12-01T10:45:31.6761767Z Traceback (most recent call last): 2022-12-01T10:45:31.6761922Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6762032Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6762325Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6762330Z 2022-12-01T10:45:31.6762395Z from user code: 2022-12-01T10:45:31.6762578Z File "/var/lib/jenkins/workspace/test/jit/test_functional_blocks.py", line 32, in 2022-12-01T10:45:31.6762669Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.6762674Z 2022-12-01T10:45:31.6762797Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6762847Z ========== 2022-12-01T10:45:31.6762906Z ok (0.057s) 2022-12-01T10:45:31.6763114Z test_check_no_type_promotion (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.206s) 2022-12-01T10:45:31.6763329Z test_functional_to_inplace_activation (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.096s) 2022-12-01T10:45:31.6763864Z test_no_functional_to_inplace (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_convert_activation.py line 93 2022-12-01T10:45:31.6763921Z due to: 2022-12-01T10:45:31.6764009Z Traceback (most recent call last): 2022-12-01T10:45:31.6764162Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6764268Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6764560Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6764591Z 2022-12-01T10:45:31.6764654Z from user code: 2022-12-01T10:45:31.6764846Z File "/var/lib/jenkins/workspace/test/jit/test_convert_activation.py", line 94, in 2022-12-01T10:45:31.6765018Z self.run_pass('functional_to_inplace_activation', fn.graph) 2022-12-01T10:45:31.6765024Z 2022-12-01T10:45:31.6765145Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6765205Z ========== 2022-12-01T10:45:31.6765264Z ok (0.021s) 2022-12-01T10:45:31.6765818Z test_resnet18_correctness (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_convert_activation.py line 129 2022-12-01T10:45:31.6765872Z due to: 2022-12-01T10:45:31.6765956Z Traceback (most recent call last): 2022-12-01T10:45:31.6766182Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.6766360Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.6766547Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.6766552Z 2022-12-01T10:45:31.6766614Z from user code: 2022-12-01T10:45:31.6766803Z File "/var/lib/jenkins/workspace/test/jit/test_convert_activation.py", line 130, in 2022-12-01T10:45:31.6766911Z self.assertEqual(model(inp), frozen_model(inp)) 2022-12-01T10:45:31.6766916Z 2022-12-01T10:45:31.6767182Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6767244Z ========== 2022-12-01T10:45:31.6767307Z ok (4.591s) 2022-12-01T10:45:31.6767449Z test_getattr_with_default (jit.test_attr.TestGetDefaultAttr) ... ok (0.013s) 2022-12-01T10:45:31.6767614Z test_fuse_linear (jit.test_graph_rewrite_passes.TestGraphRewritePasses) ... ok (0.071s) 2022-12-01T10:45:31.6767726Z test_hash_bool (jit.test_hash.TestHash) ... ok (0.015s) 2022-12-01T10:45:31.6767841Z test_hash_device (jit.test_hash.TestHash) ... ok (0.011s) 2022-12-01T10:45:31.6767945Z test_hash_float (jit.test_hash.TestHash) ... ok (0.018s) 2022-12-01T10:45:31.6768051Z test_hash_int (jit.test_hash.TestHash) ... ok (0.015s) 2022-12-01T10:45:31.6768160Z test_hash_none (jit.test_hash.TestHash) ... ok (0.010s) 2022-12-01T10:45:31.6768272Z test_hash_string (jit.test_hash.TestHash) ... ok (0.013s) 2022-12-01T10:45:31.6768446Z test_hash_tensor (jit.test_hash.TestHash) 2022-12-01T10:45:31.6768547Z Tensors should hash by identity ... ok (0.043s) 2022-12-01T10:45:31.6768660Z test_hash_tuple (jit.test_hash.TestHash) ... ok (0.014s) 2022-12-01T10:45:31.6768795Z test_hash_tuple_nested_unhashable_type (jit.test_hash.TestHash) ... ok (0.007s) 2022-12-01T10:45:31.6768914Z test_forward_tuple_input (jit.test_hooks.TestHooks) ... ok (0.031s) 2022-12-01T10:45:31.6769043Z test_hook_compilation_hint (jit.test_hooks.TestHooks) ... ok (0.001s) 2022-12-01T10:45:31.6769173Z test_hook_hook_name_collision (jit.test_hooks.TestHooks) ... ok (0.085s) 2022-12-01T10:45:31.6769304Z test_hook_method_name_collision (jit.test_hooks.TestHooks) ... ok (0.038s) 2022-12-01T10:45:31.6769766Z test_module_direct_forward_invocation (jit.test_hooks.TestHooks) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_hooks.py line 185 2022-12-01T10:45:31.6769828Z due to: 2022-12-01T10:45:31.6769911Z Traceback (most recent call last): 2022-12-01T10:45:31.6770134Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.6770308Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.6770494Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.6770500Z 2022-12-01T10:45:31.6770561Z from user code: 2022-12-01T10:45:31.6770797Z File "/var/lib/jenkins/workspace/test/jit/test_hooks.py", line 186, in 2022-12-01T10:45:31.6770922Z self.assertNotEqual(m_scripted("a"), m_scripted.forward("a")) 2022-12-01T10:45:31.6770928Z 2022-12-01T10:45:31.6771053Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6771109Z ========== 2022-12-01T10:45:31.6771171Z ok (0.076s) 2022-12-01T10:45:31.6771303Z test_module_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.038s) 2022-12-01T10:45:31.6771437Z test_module_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.030s) 2022-12-01T10:45:31.6771601Z test_module_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.027s) 2022-12-01T10:45:31.6771748Z test_module_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.042s) 2022-12-01T10:45:31.6771890Z test_module_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.037s) 2022-12-01T10:45:31.6772023Z test_module_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.029s) 2022-12-01T10:45:31.6772150Z test_module_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.029s) 2022-12-01T10:45:31.6772611Z test_submodule_called_directly_with_hooks (jit.test_hooks.TestHooks) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_hooks.py line 84 2022-12-01T10:45:31.6772668Z due to: 2022-12-01T10:45:31.6772746Z Traceback (most recent call last): 2022-12-01T10:45:31.6772969Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.6773150Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.6773335Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.6773341Z 2022-12-01T10:45:31.6773410Z from user code: 2022-12-01T10:45:31.6773603Z File "/var/lib/jenkins/workspace/test/jit/test_hooks.py", line 89, in 2022-12-01T10:45:31.6773726Z self.assertEqual(submodule("a"), scripted_submodule("a")) 2022-12-01T10:45:31.6773731Z 2022-12-01T10:45:31.6773859Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6773910Z ========== 2022-12-01T10:45:31.6773972Z ok (0.026s) 2022-12-01T10:45:31.6774437Z test_submodule_direct_forward_invocation (jit.test_hooks.TestHooks) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_hooks.py line 207 2022-12-01T10:45:31.6774492Z due to: 2022-12-01T10:45:31.6774579Z Traceback (most recent call last): 2022-12-01T10:45:31.6774796Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.6774976Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.6775161Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.6775168Z 2022-12-01T10:45:31.6775224Z from user code: 2022-12-01T10:45:31.6775412Z File "/var/lib/jenkins/workspace/test/jit/test_hooks.py", line 210, in 2022-12-01T10:45:31.6775537Z m_submod_forward_call_scripted("a"), m_submod_forward_call("a") 2022-12-01T10:45:31.6775542Z 2022-12-01T10:45:31.6775668Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6775724Z ========== 2022-12-01T10:45:31.6775784Z ok (0.106s) 2022-12-01T10:45:31.6775928Z test_submodule_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.033s) 2022-12-01T10:45:31.6776072Z test_submodule_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.029s) 2022-12-01T10:45:31.6776226Z test_submodule_forward_single_input_return_not_tupled (jit.test_hooks.TestHooks) ... ok (0.029s) 2022-12-01T10:45:31.6776359Z test_submodule_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.029s) 2022-12-01T10:45:31.6776535Z test_submodule_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.045s) 2022-12-01T10:45:31.6776684Z test_submodule_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.038s) 2022-12-01T10:45:31.6776815Z test_submodule_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.024s) 2022-12-01T10:45:31.6776951Z test_submodule_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.031s) 2022-12-01T10:45:31.6777077Z test_wrong_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.087s) 2022-12-01T10:45:31.6777206Z test_wrong_pre_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.112s) 2022-12-01T10:45:31.6777688Z test_add_out_ignorable_args (jit.test_ignorable_args.TestIgnorableArgs) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_ignorable_args.py line 52 2022-12-01T10:45:31.6777750Z due to: 2022-12-01T10:45:31.6777834Z Traceback (most recent call last): 2022-12-01T10:45:31.6777989Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6778231Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6778471Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6778477Z 2022-12-01T10:45:31.6778541Z from user code: 2022-12-01T10:45:31.6778723Z File "/var/lib/jenkins/workspace/test/jit/test_ignorable_args.py", line 54, in 2022-12-01T10:45:31.6778836Z FileCheck().check("torch.add(x, y, out=y)").run(fn.code) 2022-12-01T10:45:31.6778844Z 2022-12-01T10:45:31.6778959Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6779013Z ========== 2022-12-01T10:45:31.6779073Z ok (0.009s) 2022-12-01T10:45:31.6779531Z test_slice_ignorable_args_for_slice (jit.test_ignorable_args.TestIgnorableArgs) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_slice_ignorable_args_for_slice /var/lib/jenkins/workspace/test/jit/test_ignorable_args.py line 21 2022-12-01T10:45:31.6779593Z due to: 2022-12-01T10:45:31.6779677Z Traceback (most recent call last): 2022-12-01T10:45:31.6779827Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6780066Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6780357Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6780362Z 2022-12-01T10:45:31.6780427Z from user code: 2022-12-01T10:45:31.6780600Z File "/var/lib/jenkins/workspace/test/jit/test_ignorable_args.py", line 38, in test_slice_ignorable_args_for_slice 2022-12-01T10:45:31.6780680Z graph = parse_ir(graph_str) 2022-12-01T10:45:31.6780684Z 2022-12-01T10:45:31.6780808Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6780865Z ========== 2022-12-01T10:45:31.6780926Z ok (0.006s) 2022-12-01T10:45:31.6781404Z test_with_ignore_context_manager_with_inp_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py line 27 2022-12-01T10:45:31.6781455Z due to: 2022-12-01T10:45:31.6781542Z Traceback (most recent call last): 2022-12-01T10:45:31.6781691Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6781932Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6782241Z AssertionError: torch.* op returned non-Tensor _IgnoreContextManager call_function 2022-12-01T10:45:31.6782246Z 2022-12-01T10:45:31.6782309Z from user code: 2022-12-01T10:45:31.6782463Z File "/var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py", line 32, in forward 2022-12-01T10:45:31.6782640Z with torch.jit._IgnoreContextManager(a="inp:int", b="inp:int", c="out:int", d="out:int"): 2022-12-01T10:45:31.6782646Z 2022-12-01T10:45:31.6782768Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6782818Z ========== 2022-12-01T10:45:31.6783110Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py line 46 2022-12-01T10:45:31.6783168Z due to: 2022-12-01T10:45:31.6783257Z Traceback (most recent call last): 2022-12-01T10:45:31.6783444Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6783688Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6783992Z AssertionError: torch.* op returned non-Tensor _IgnoreContextManager call_function 2022-12-01T10:45:31.6784000Z 2022-12-01T10:45:31.6784063Z from user code: 2022-12-01T10:45:31.6784210Z File "/var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py", line 50, in forward 2022-12-01T10:45:31.6784346Z with torch.jit._IgnoreContextManager(a="inp:int", b="inp:int", c="out:int"): 2022-12-01T10:45:31.6784351Z 2022-12-01T10:45:31.6784475Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6784529Z ========== 2022-12-01T10:45:31.6784823Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py line 63 2022-12-01T10:45:31.6784879Z due to: 2022-12-01T10:45:31.6784966Z Traceback (most recent call last): 2022-12-01T10:45:31.6785111Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6785344Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6785656Z AssertionError: torch.* op returned non-Tensor _IgnoreContextManager call_function 2022-12-01T10:45:31.6785661Z 2022-12-01T10:45:31.6785727Z from user code: 2022-12-01T10:45:31.6785879Z File "/var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py", line 66, in forward 2022-12-01T10:45:31.6786009Z with torch.jit._IgnoreContextManager(a="inp:int", b="out:int"): 2022-12-01T10:45:31.6786014Z 2022-12-01T10:45:31.6786135Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6786192Z ========== 2022-12-01T10:45:31.6786249Z ok (0.031s) 2022-12-01T10:45:31.6786727Z test_with_ignore_context_manager_with_just_inp (jit.test_ignore_context_manager.TestIgnoreContextManager) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py line 81 2022-12-01T10:45:31.6786784Z due to: 2022-12-01T10:45:31.6786867Z Traceback (most recent call last): 2022-12-01T10:45:31.6787019Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6787255Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6787560Z AssertionError: torch.* op returned non-Tensor _IgnoreContextManager call_function 2022-12-01T10:45:31.6787566Z 2022-12-01T10:45:31.6787629Z from user code: 2022-12-01T10:45:31.6787778Z File "/var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py", line 84, in forward 2022-12-01T10:45:31.6787909Z with torch.jit._IgnoreContextManager(a="inp:int", b="inp:int"): 2022-12-01T10:45:31.6787917Z 2022-12-01T10:45:31.6788033Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6788088Z ========== 2022-12-01T10:45:31.6788149Z ok (0.010s) 2022-12-01T10:45:31.6788632Z test_with_ignore_context_manager_with_just_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py line 98 2022-12-01T10:45:31.6788717Z due to: 2022-12-01T10:45:31.6788801Z Traceback (most recent call last): 2022-12-01T10:45:31.6788950Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6789190Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6789492Z AssertionError: torch.* op returned non-Tensor _IgnoreContextManager call_function 2022-12-01T10:45:31.6789503Z 2022-12-01T10:45:31.6789584Z from user code: 2022-12-01T10:45:31.6789738Z File "/var/lib/jenkins/workspace/test/jit/test_ignore_context_manager.py", line 99, in forward 2022-12-01T10:45:31.6789857Z with torch.jit._IgnoreContextManager(c="out:List[int]"): 2022-12-01T10:45:31.6789862Z 2022-12-01T10:45:31.6789987Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6790042Z ========== 2022-12-01T10:45:31.6790104Z ok (0.010s) 2022-12-01T10:45:31.6790321Z test_inplace_to_functional_activation (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (0.055s) 2022-12-01T10:45:31.6790856Z test_resnet18_correctness (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_convert_activation.py line 176 2022-12-01T10:45:31.6790908Z due to: 2022-12-01T10:45:31.6790991Z Traceback (most recent call last): 2022-12-01T10:45:31.6791215Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.6791392Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.6791579Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.6791586Z 2022-12-01T10:45:31.6791646Z from user code: 2022-12-01T10:45:31.6791835Z File "/var/lib/jenkins/workspace/test/jit/test_convert_activation.py", line 177, in 2022-12-01T10:45:31.6791942Z self.assertEqual(model(inp), frozen_model(inp)) 2022-12-01T10:45:31.6791947Z 2022-12-01T10:45:31.6792063Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6792120Z ========== 2022-12-01T10:45:31.6792177Z ok (3.812s) 2022-12-01T10:45:31.6792302Z test_bool (jit.test_isinstance.TestIsinstance) ... ok (0.024s) 2022-12-01T10:45:31.6792430Z test_dict (jit.test_isinstance.TestIsinstance) ... ok (0.068s) 2022-12-01T10:45:31.6792565Z test_dict_nested (jit.test_isinstance.TestIsinstance) ... ok (0.081s) 2022-12-01T10:45:31.6792716Z test_dict_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.015s) 2022-12-01T10:45:31.6792845Z test_dict_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.029s) 2022-12-01T10:45:31.6793292Z test_empty_container_special_cases (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_empty_container_special_cases /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 316 2022-12-01T10:45:31.6793353Z due to: 2022-12-01T10:45:31.6793438Z Traceback (most recent call last): 2022-12-01T10:45:31.6793592Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:45:31.6793690Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.6793893Z RuntimeError: Creating a new Tensor subclass Tensor but the raw Tensor object is already associated to a python object of type FakeTensor 2022-12-01T10:45:31.6793899Z 2022-12-01T10:45:31.6794027Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.6794033Z 2022-12-01T10:45:31.6794118Z Traceback (most recent call last): 2022-12-01T10:45:31.6794260Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.6794374Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.6794477Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.6794482Z 2022-12-01T10:45:31.6794543Z from user code: 2022-12-01T10:45:31.6794717Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 319, in test_empty_container_special_cases 2022-12-01T10:45:31.6794839Z torch._jit_internal.check_empty_containers(torch.Tensor([])) 2022-12-01T10:45:31.6794845Z 2022-12-01T10:45:31.6794969Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6795023Z ========== 2022-12-01T10:45:31.6795076Z ok (0.004s) 2022-12-01T10:45:31.6795518Z test_empty_container_throws_warning_in_eager (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 303 2022-12-01T10:45:31.6795578Z due to: 2022-12-01T10:45:31.6795664Z Traceback (most recent call last): 2022-12-01T10:45:31.6795881Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6796012Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6796213Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6796218Z 2022-12-01T10:45:31.6796278Z from user code: 2022-12-01T10:45:31.6796407Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 304, in fn 2022-12-01T10:45:31.6796496Z torch.jit.isinstance(x, List[int]) 2022-12-01T10:45:31.6796500Z 2022-12-01T10:45:31.6796621Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6796679Z ========== 2022-12-01T10:45:31.6796737Z ok (2.259s) 2022-12-01T10:45:31.6796863Z test_float (jit.test_isinstance.TestIsinstance) ... ok (0.027s) 2022-12-01T10:45:31.6796995Z test_if_else (jit.test_isinstance.TestIsinstance) ... ok (0.029s) 2022-12-01T10:45:31.6797288Z test_in_if (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_in_if line 1 2022-12-01T10:45:31.6797341Z due to: 2022-12-01T10:45:31.6797427Z Traceback (most recent call last): 2022-12-01T10:45:31.6797649Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6797769Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6797963Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6797968Z 2022-12-01T10:45:31.6798028Z from user code: 2022-12-01T10:45:31.6798116Z File "", line 2, in list_in_if 2022-12-01T10:45:31.6798121Z 2022-12-01T10:45:31.6798242Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6798293Z ========== 2022-12-01T10:45:31.6798571Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_in_if /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 170 2022-12-01T10:45:31.6798629Z due to: 2022-12-01T10:45:31.6798711Z Traceback (most recent call last): 2022-12-01T10:45:31.6798929Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6799054Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6799245Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6799250Z 2022-12-01T10:45:31.6799306Z from user code: 2022-12-01T10:45:31.6799451Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 171, in list_in_if 2022-12-01T10:45:31.6799544Z if torch.jit.isinstance(x, List[int]): 2022-12-01T10:45:31.6799550Z 2022-12-01T10:45:31.6799669Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6799728Z ========== 2022-12-01T10:45:31.6799787Z ok (0.016s) 2022-12-01T10:45:31.6799923Z test_in_while_loop (jit.test_isinstance.TestIsinstance) ... ok (0.023s) 2022-12-01T10:45:31.6800046Z test_int (jit.test_isinstance.TestIsinstance) ... ok (0.022s) 2022-12-01T10:45:31.6800338Z test_list (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_str_test line 1 2022-12-01T10:45:31.6800427Z due to: 2022-12-01T10:45:31.6800509Z Traceback (most recent call last): 2022-12-01T10:45:31.6800730Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6800849Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6801038Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6801043Z 2022-12-01T10:45:31.6801108Z from user code: 2022-12-01T10:45:31.6801197Z File "", line 2, in list_str_test 2022-12-01T10:45:31.6801203Z 2022-12-01T10:45:31.6801343Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6801404Z ========== 2022-12-01T10:45:31.6801683Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_str_test /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 49 2022-12-01T10:45:31.6801740Z due to: 2022-12-01T10:45:31.6801827Z Traceback (most recent call last): 2022-12-01T10:45:31.6802043Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6802164Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6802349Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6802362Z 2022-12-01T10:45:31.6802419Z from user code: 2022-12-01T10:45:31.6802562Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 50, in list_str_test 2022-12-01T10:45:31.6802669Z assert torch.jit.isinstance(x, List[str]) 2022-12-01T10:45:31.6802673Z 2022-12-01T10:45:31.6802803Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6802857Z ========== 2022-12-01T10:45:31.6802917Z ok (0.016s) 2022-12-01T10:45:31.6803248Z test_list_nested (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 2 2022-12-01T10:45:31.6803300Z due to: 2022-12-01T10:45:31.6803383Z Traceback (most recent call last): 2022-12-01T10:45:31.6803541Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6803663Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6803820Z NotImplementedError: UserDefinedObjectVariable(_GenericAlias) is not a constant 2022-12-01T10:45:31.6803826Z 2022-12-01T10:45:31.6803885Z from user code: 2022-12-01T10:45:31.6803993Z File "", line 2, in 2022-12-01T10:45:31.6803998Z 2022-12-01T10:45:31.6804121Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6804169Z ========== 2022-12-01T10:45:31.6804477Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 118 2022-12-01T10:45:31.6804532Z due to: 2022-12-01T10:45:31.6804617Z Traceback (most recent call last): 2022-12-01T10:45:31.6804780Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6804904Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6805057Z NotImplementedError: UserDefinedObjectVariable(_GenericAlias) is not a constant 2022-12-01T10:45:31.6805062Z 2022-12-01T10:45:31.6805126Z from user code: 2022-12-01T10:45:31.6805283Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 118, in 2022-12-01T10:45:31.6805396Z assert torch.jit.isinstance(x, List[Dict[str, int]]) 2022-12-01T10:45:31.6805401Z 2022-12-01T10:45:31.6805519Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6805577Z ========== 2022-12-01T10:45:31.6805634Z ok (0.027s) 2022-12-01T10:45:31.6805784Z test_list_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.014s) 2022-12-01T10:45:31.6806098Z test_list_tensor (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_tensor_test line 1 2022-12-01T10:45:31.6806185Z due to: 2022-12-01T10:45:31.6806263Z Traceback (most recent call last): 2022-12-01T10:45:31.6806482Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6806604Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6806795Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6806800Z 2022-12-01T10:45:31.6806862Z from user code: 2022-12-01T10:45:31.6807104Z File "", line 2, in list_tensor_test 2022-12-01T10:45:31.6807110Z 2022-12-01T10:45:31.6807288Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6807344Z ========== 2022-12-01T10:45:31.6807632Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_tensor_test /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 58 2022-12-01T10:45:31.6807692Z due to: 2022-12-01T10:45:31.6807775Z Traceback (most recent call last): 2022-12-01T10:45:31.6807999Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6808121Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6808370Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6808376Z 2022-12-01T10:45:31.6808438Z from user code: 2022-12-01T10:45:31.6808585Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 59, in list_tensor_test 2022-12-01T10:45:31.6808694Z assert torch.jit.isinstance(x, List[torch.Tensor]) 2022-12-01T10:45:31.6808699Z 2022-12-01T10:45:31.6808820Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6808876Z ========== 2022-12-01T10:45:31.6808939Z ok (0.019s) 2022-12-01T10:45:31.6809281Z test_list_tensor_type_true (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_tensor_type_true line 1 2022-12-01T10:45:31.6809342Z due to: 2022-12-01T10:45:31.6809424Z Traceback (most recent call last): 2022-12-01T10:45:31.6809635Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6809761Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6809952Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6809957Z 2022-12-01T10:45:31.6810021Z from user code: 2022-12-01T10:45:31.6810125Z File "", line 2, in list_tensor_type_true 2022-12-01T10:45:31.6810130Z 2022-12-01T10:45:31.6810251Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6810305Z ========== 2022-12-01T10:45:31.6810601Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_tensor_type_true /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 156 2022-12-01T10:45:31.6810651Z due to: 2022-12-01T10:45:31.6810737Z Traceback (most recent call last): 2022-12-01T10:45:31.6810953Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6811076Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6811272Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6811277Z 2022-12-01T10:45:31.6811338Z from user code: 2022-12-01T10:45:31.6811495Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 157, in list_tensor_type_true 2022-12-01T10:45:31.6811613Z assert torch.jit.isinstance(x, List[torch.Tensor]) 2022-12-01T10:45:31.6811619Z 2022-12-01T10:45:31.6811739Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6811789Z ========== 2022-12-01T10:45:31.6811852Z ok (0.017s) 2022-12-01T10:45:31.6812023Z test_nontuple_container_rhs_throws_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.014s) 2022-12-01T10:45:31.6812153Z test_optional (jit.test_isinstance.TestIsinstance) ... ok (0.046s) 2022-12-01T10:45:31.6812293Z test_optional_nested (jit.test_isinstance.TestIsinstance) ... ok (0.020s) 2022-12-01T10:45:31.6812486Z test_optional_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.015s) 2022-12-01T10:45:31.6812622Z test_optional_none (jit.test_isinstance.TestIsinstance) ... ok (0.027s) 2022-12-01T10:45:31.6812950Z test_tensor_type_false (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_tensor_type_false line 1 2022-12-01T10:45:31.6813007Z due to: 2022-12-01T10:45:31.6813090Z Traceback (most recent call last): 2022-12-01T10:45:31.6813305Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6813456Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6813653Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6813658Z 2022-12-01T10:45:31.6813723Z from user code: 2022-12-01T10:45:31.6813824Z File "", line 2, in list_tensor_type_false 2022-12-01T10:45:31.6813831Z 2022-12-01T10:45:31.6813948Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6814002Z ========== 2022-12-01T10:45:31.6814304Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT list_tensor_type_false /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 163 2022-12-01T10:45:31.6814359Z due to: 2022-12-01T10:45:31.6814444Z Traceback (most recent call last): 2022-12-01T10:45:31.6814657Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6814780Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6814970Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6814978Z 2022-12-01T10:45:31.6815034Z from user code: 2022-12-01T10:45:31.6815192Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 164, in list_tensor_type_false 2022-12-01T10:45:31.6815312Z assert not torch.jit.isinstance(x, List[torch.Tensor]) 2022-12-01T10:45:31.6815319Z 2022-12-01T10:45:31.6815438Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6815494Z ========== 2022-12-01T10:45:31.6815551Z ok (0.016s) 2022-12-01T10:45:31.6815678Z test_tuple (jit.test_isinstance.TestIsinstance) ... ok (0.068s) 2022-12-01T10:45:31.6815814Z test_tuple_nested (jit.test_isinstance.TestIsinstance) ... ok (0.067s) 2022-12-01T10:45:31.6815958Z test_tuple_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.015s) 2022-12-01T10:45:31.6816085Z test_tuple_rhs (jit.test_isinstance.TestIsinstance) ... ok (0.024s) 2022-12-01T10:45:31.6816218Z test_tuple_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.031s) 2022-12-01T10:45:31.6816544Z test_type_refinement (jit.test_isinstance.TestIsinstance) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT type_refinement line 1 2022-12-01T10:45:31.6816604Z due to: 2022-12-01T10:45:31.6816686Z Traceback (most recent call last): 2022-12-01T10:45:31.6816903Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6817021Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6817217Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6817221Z 2022-12-01T10:45:31.6817283Z from user code: 2022-12-01T10:45:31.6817381Z File "", line 3, in type_refinement 2022-12-01T10:45:31.6817386Z 2022-12-01T10:45:31.6817515Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6817569Z ========== 2022-12-01T10:45:31.6817855Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT type_refinement /var/lib/jenkins/workspace/test/jit/test_isinstance.py line 200 2022-12-01T10:45:31.6817913Z due to: 2022-12-01T10:45:31.6817990Z Traceback (most recent call last): 2022-12-01T10:45:31.6818208Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6818332Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6818549Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6818553Z 2022-12-01T10:45:31.6818614Z from user code: 2022-12-01T10:45:31.6818766Z File "/var/lib/jenkins/workspace/test/jit/test_isinstance.py", line 202, in type_refinement 2022-12-01T10:45:31.6818876Z if torch.jit.isinstance(obj, List[torch.Tensor]): 2022-12-01T10:45:31.6818881Z 2022-12-01T10:45:31.6819004Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6819053Z ========== 2022-12-01T10:45:31.6819261Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT type_refinement line 1 2022-12-01T10:45:31.6819320Z due to: 2022-12-01T10:45:31.6819431Z Traceback (most recent call last): 2022-12-01T10:45:31.6819648Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.6819768Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.6819963Z NotImplementedError: argument of type: 2022-12-01T10:45:31.6819971Z 2022-12-01T10:45:31.6820033Z from user code: 2022-12-01T10:45:31.6820122Z File "", line 3, in type_refinement 2022-12-01T10:45:31.6820127Z 2022-12-01T10:45:31.6820249Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6820303Z ========== 2022-12-01T10:45:31.6820365Z ok (0.036s) 2022-12-01T10:45:31.6820464Z test_ModuleList (__main__.TestJit) ... ok (0.095s) 2022-12-01T10:45:31.6820733Z test_Sequential (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Seq test_jit.py line 889 2022-12-01T10:45:31.6820789Z due to: 2022-12-01T10:45:31.6820870Z Traceback (most recent call last): 2022-12-01T10:45:31.6821012Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6821090Z raise Unsupported(msg) 2022-12-01T10:45:31.6821206Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6821211Z 2022-12-01T10:45:31.6821277Z from user code: 2022-12-01T10:45:31.6821358Z File "test_jit.py", line 889, in Seq 2022-12-01T10:45:31.6821432Z class Seq(nn.Module): 2022-12-01T10:45:31.6821437Z 2022-12-01T10:45:31.6821564Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6821613Z ========== 2022-12-01T10:45:31.6821674Z ok (0.028s) 2022-12-01T10:45:31.6821770Z test_T_mT_H_mH (__main__.TestJit) ... ok (0.272s) 2022-12-01T10:45:31.6821877Z test_add_relu_fusion (__main__.TestJit) ... ok (0.043s) 2022-12-01T10:45:31.6821976Z test_arg_configurations (__main__.TestJit) 2022-12-01T10:45:31.6822161Z Different arg configurations should trigger different traces ... skip: Need to be adjusted to Graph Executor (0.002s) 2022-12-01T10:45:31.6822254Z test_attrs (__main__.TestJit) ... ok (0.032s) 2022-12-01T10:45:31.6822345Z test_batchnorm (__main__.TestJit) ... ok (0.035s) 2022-12-01T10:45:31.6822461Z test_big (__main__.TestJit) ... skip: Requires a lot of RAM (0.001s) 2022-12-01T10:45:31.6822568Z test_conj_transpose (__main__.TestJit) ... ok (0.044s) 2022-12-01T10:45:31.6822899Z test_constant_insertion (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2360 2022-12-01T10:45:31.6822958Z due to: 2022-12-01T10:45:31.6823041Z Traceback (most recent call last): 2022-12-01T10:45:31.6823203Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.6823274Z assert not kwargs 2022-12-01T10:45:31.6823333Z AssertionError 2022-12-01T10:45:31.6823338Z 2022-12-01T10:45:31.6823397Z from user code: 2022-12-01T10:45:31.6823527Z File "test_jit.py", line 2384, in 2022-12-01T10:45:31.6823602Z check_constant(constant) 2022-12-01T10:45:31.6823607Z 2022-12-01T10:45:31.6823728Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6823785Z ========== 2022-12-01T10:45:31.6824000Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT check_constant test_jit.py line 2364 2022-12-01T10:45:31.6824077Z due to: 2022-12-01T10:45:31.6824160Z Traceback (most recent call last): 2022-12-01T10:45:31.6824319Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.6824387Z assert not kwargs 2022-12-01T10:45:31.6824450Z AssertionError 2022-12-01T10:45:31.6824455Z 2022-12-01T10:45:31.6824519Z from user code: 2022-12-01T10:45:31.6824618Z File "test_jit.py", line 2366, in check_constant 2022-12-01T10:45:31.6824765Z funcs_str = funcs_template.format(constant_constructor=constant_constructor) 2022-12-01T10:45:31.6824769Z 2022-12-01T10:45:31.6824919Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6824975Z ========== 2022-12-01T10:45:31.6825036Z ok (4.805s) 2022-12-01T10:45:31.6825395Z test_constant_prop_aliasing_type (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2247 2022-12-01T10:45:31.6825457Z due to: 2022-12-01T10:45:31.6825539Z Traceback (most recent call last): 2022-12-01T10:45:31.6825688Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6825929Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6826165Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6826170Z 2022-12-01T10:45:31.6826231Z from user code: 2022-12-01T10:45:31.6826374Z File "test_jit.py", line 2251, in 2022-12-01T10:45:31.6826520Z FileCheck().check_dag("aten::tensor").check_dag("aten::len").run(foo.graph) 2022-12-01T10:45:31.6826524Z 2022-12-01T10:45:31.6826646Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6826703Z ========== 2022-12-01T10:45:31.6826766Z ok (0.020s) 2022-12-01T10:45:31.6826885Z test_constant_prop_exception (__main__.TestJit) ... ok (0.014s) 2022-12-01T10:45:31.6827234Z test_constant_prop_if_constant (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2278 2022-12-01T10:45:31.6827294Z due to: 2022-12-01T10:45:31.6827378Z Traceback (most recent call last): 2022-12-01T10:45:31.6827534Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6827645Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6827939Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6827944Z 2022-12-01T10:45:31.6828008Z from user code: 2022-12-01T10:45:31.6828143Z File "test_jit.py", line 2298, in 2022-12-01T10:45:31.6828219Z graph = constant_prop.graph 2022-12-01T10:45:31.6828225Z 2022-12-01T10:45:31.6828350Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6828403Z ========== 2022-12-01T10:45:31.6828465Z ok (0.021s) 2022-12-01T10:45:31.6828809Z test_constant_prop_if_inline (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2221 2022-12-01T10:45:31.6828869Z due to: 2022-12-01T10:45:31.6828957Z Traceback (most recent call last): 2022-12-01T10:45:31.6829109Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6829215Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6829511Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6829516Z 2022-12-01T10:45:31.6829578Z from user code: 2022-12-01T10:45:31.6829715Z File "test_jit.py", line 2232, in 2022-12-01T10:45:31.6829917Z self.run_pass('constant_propagation', constant_prop.graph) 2022-12-01T10:45:31.6829923Z 2022-12-01T10:45:31.6830043Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6830101Z ========== 2022-12-01T10:45:31.6830159Z ok (0.017s) 2022-12-01T10:45:31.6830506Z test_constant_prop_loop_constant (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2310 2022-12-01T10:45:31.6830563Z due to: 2022-12-01T10:45:31.6830646Z Traceback (most recent call last): 2022-12-01T10:45:31.6830831Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6830943Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6831233Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6831238Z 2022-12-01T10:45:31.6831303Z from user code: 2022-12-01T10:45:31.6831444Z File "test_jit.py", line 2330, in 2022-12-01T10:45:31.6831611Z self.run_pass('constant_propagation', constant_prop.graph) 2022-12-01T10:45:31.6831616Z 2022-12-01T10:45:31.6831739Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6831793Z ========== 2022-12-01T10:45:31.6831852Z ok (0.025s) 2022-12-01T10:45:31.6832189Z test_constant_prop_nested (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2169 2022-12-01T10:45:31.6832248Z due to: 2022-12-01T10:45:31.6832335Z Traceback (most recent call last): 2022-12-01T10:45:31.6832491Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6832595Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6832885Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6832892Z 2022-12-01T10:45:31.6832956Z from user code: 2022-12-01T10:45:31.6833084Z File "test_jit.py", line 2170, in 2022-12-01T10:45:31.6833262Z self.run_pass('constant_propagation', constant_prop.graph) 2022-12-01T10:45:31.6833267Z 2022-12-01T10:45:31.6833386Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6833442Z ========== 2022-12-01T10:45:31.6833502Z ok (0.058s) 2022-12-01T10:45:31.6833827Z test_constant_prop_none (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2207 2022-12-01T10:45:31.6833883Z due to: 2022-12-01T10:45:31.6833967Z Traceback (most recent call last): 2022-12-01T10:45:31.6834121Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6834233Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6834525Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6834530Z 2022-12-01T10:45:31.6834593Z from user code: 2022-12-01T10:45:31.6834722Z File "test_jit.py", line 2217, in 2022-12-01T10:45:31.6834891Z self.run_pass('constant_propagation', constant_prop.graph) 2022-12-01T10:45:31.6834895Z 2022-12-01T10:45:31.6835017Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6835071Z ========== 2022-12-01T10:45:31.6835128Z ok (0.034s) 2022-12-01T10:45:31.6835468Z test_constant_prop_print (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2179 2022-12-01T10:45:31.6835525Z due to: 2022-12-01T10:45:31.6835609Z Traceback (most recent call last): 2022-12-01T10:45:31.6835758Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6835894Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6836187Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6836192Z 2022-12-01T10:45:31.6836253Z from user code: 2022-12-01T10:45:31.6836386Z File "test_jit.py", line 2186, in 2022-12-01T10:45:31.6836563Z self.run_pass('constant_propagation', constant_prop.graph) 2022-12-01T10:45:31.6836568Z 2022-12-01T10:45:31.6836687Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6836744Z ========== 2022-12-01T10:45:31.6836822Z ok (0.017s) 2022-12-01T10:45:31.6837151Z test_constant_prop_rand (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2192 2022-12-01T10:45:31.6837210Z due to: 2022-12-01T10:45:31.6837294Z Traceback (most recent call last): 2022-12-01T10:45:31.6837448Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6837557Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6837849Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6837855Z 2022-12-01T10:45:31.6837916Z from user code: 2022-12-01T10:45:31.6838044Z File "test_jit.py", line 2198, in 2022-12-01T10:45:31.6838211Z self.run_pass('constant_propagation', constant_prop.graph) 2022-12-01T10:45:31.6838216Z 2022-12-01T10:45:31.6838341Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6838395Z ========== 2022-12-01T10:45:31.6838456Z ok (0.017s) 2022-12-01T10:45:31.6838818Z test_constant_prop_remove_output (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2337 2022-12-01T10:45:31.6838876Z due to: 2022-12-01T10:45:31.6838961Z Traceback (most recent call last): 2022-12-01T10:45:31.6839110Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6839219Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6839507Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6839512Z 2022-12-01T10:45:31.6839573Z from user code: 2022-12-01T10:45:31.6839714Z File "test_jit.py", line 2351, in 2022-12-01T10:45:31.6839796Z graph = constant_prop.graph 2022-12-01T10:45:31.6839801Z 2022-12-01T10:45:31.6839925Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6839980Z ========== 2022-12-01T10:45:31.6840032Z ok (0.018s) 2022-12-01T10:45:31.6840367Z test_constant_prop_simple (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2151 2022-12-01T10:45:31.6840428Z due to: 2022-12-01T10:45:31.6840511Z Traceback (most recent call last): 2022-12-01T10:45:31.6840667Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6840775Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6841067Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6841072Z 2022-12-01T10:45:31.6841135Z from user code: 2022-12-01T10:45:31.6841261Z File "test_jit.py", line 2152, in 2022-12-01T10:45:31.6841438Z self.run_pass('constant_propagation', constant_prop.graph) 2022-12-01T10:45:31.6841443Z 2022-12-01T10:45:31.6841562Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6841642Z ========== 2022-12-01T10:45:31.6841704Z ok (0.024s) 2022-12-01T10:45:31.6842015Z test_constants_pkl (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 382 2022-12-01T10:45:31.6842075Z due to: 2022-12-01T10:45:31.6842158Z Traceback (most recent call last): 2022-12-01T10:45:31.6842301Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:45:31.6842419Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:45:31.6842510Z BytesWarning: str() on a bytes instance 2022-12-01T10:45:31.6842515Z 2022-12-01T10:45:31.6842577Z from user code: 2022-12-01T10:45:31.6842757Z File "test_jit.py", line 384, in 2022-12-01T10:45:31.6842850Z files = zipfile.ZipFile(buf).filelist 2022-12-01T10:45:31.6842855Z 2022-12-01T10:45:31.6842978Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6843037Z ========== 2022-12-01T10:45:31.6843089Z ok (0.039s) 2022-12-01T10:45:31.6843408Z test_cpp (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Model /var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py line 27 2022-12-01T10:45:31.6843467Z due to: 2022-12-01T10:45:31.6843549Z Traceback (most recent call last): 2022-12-01T10:45:31.6843694Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6843776Z raise Unsupported(msg) 2022-12-01T10:45:31.6843891Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6843896Z 2022-12-01T10:45:31.6843952Z from user code: 2022-12-01T10:45:31.6844091Z File "/var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py", line 27, in Model 2022-12-01T10:45:31.6844187Z class Model(torch.jit.ScriptModule): 2022-12-01T10:45:31.6844192Z 2022-12-01T10:45:31.6844314Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6844367Z ========== 2022-12-01T10:45:31.6844637Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py line 28 2022-12-01T10:45:31.6844695Z due to: 2022-12-01T10:45:31.6844780Z Traceback (most recent call last): 2022-12-01T10:45:31.6844934Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6845055Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6845208Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6845213Z 2022-12-01T10:45:31.6845279Z from user code: 2022-12-01T10:45:31.6845424Z File "/var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py", line 29, in __init__ 2022-12-01T10:45:31.6845507Z super(Model, self).__init__() 2022-12-01T10:45:31.6845512Z 2022-12-01T10:45:31.6845632Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6845691Z ========== 2022-12-01T10:45:31.6845958Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT setup /var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py line 45 2022-12-01T10:45:31.6846016Z due to: 2022-12-01T10:45:31.6846100Z Traceback (most recent call last): 2022-12-01T10:45:31.6846321Z File "/opt/conda/lib/python3.7/site-packages/torch/serialization.py", line 635, in _save 2022-12-01T10:45:31.6846389Z pickler.dump(obj) 2022-12-01T10:45:31.6846612Z AttributeError: Can't pickle local object 'WeakValueDictionary.__init__..remove' 2022-12-01T10:45:31.6846617Z 2022-12-01T10:45:31.6846677Z from user code: 2022-12-01T10:45:31.6846813Z File "/var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py", line 51, in setup 2022-12-01T10:45:31.6847047Z torch.save(value, self.path, _use_new_zipfile_serialization=True) 2022-12-01T10:45:31.6847058Z 2022-12-01T10:45:31.6847203Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6847260Z ========== 2022-12-01T10:45:31.6847536Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT setup /var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py line 58 2022-12-01T10:45:31.6847644Z due to: 2022-12-01T10:45:31.6847732Z Traceback (most recent call last): 2022-12-01T10:45:31.6847972Z File "/opt/conda/lib/python3.7/site-packages/torch/serialization.py", line 564, in _legacy_save 2022-12-01T10:45:31.6848037Z pickler.dump(obj) 2022-12-01T10:45:31.6848259Z AttributeError: Can't pickle local object 'WeakValueDictionary.__init__..remove' 2022-12-01T10:45:31.6848264Z 2022-12-01T10:45:31.6848410Z from user code: 2022-12-01T10:45:31.6848555Z File "/var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py", line 64, in setup 2022-12-01T10:45:31.6848682Z torch.save(value, self.path, _use_new_zipfile_serialization=False) 2022-12-01T10:45:31.6848733Z 2022-12-01T10:45:31.6848860Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6848915Z ========== 2022-12-01T10:45:31.6849185Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT setup /var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py line 69 2022-12-01T10:45:31.6849237Z due to: 2022-12-01T10:45:31.6849319Z Traceback (most recent call last): 2022-12-01T10:45:31.6849467Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6849712Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6849965Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.6849970Z 2022-12-01T10:45:31.6850034Z from user code: 2022-12-01T10:45:31.6850170Z File "/var/lib/jenkins/workspace/test/cpp/jit/tests_setup.py", line 70, in setup 2022-12-01T10:45:31.6850260Z if not torch.cuda.is_available(): 2022-12-01T10:45:31.6850264Z 2022-12-01T10:45:31.6850390Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6850440Z ========== 2022-12-01T10:45:31.6850498Z ok (0.067s) 2022-12-01T10:45:31.6850782Z test_cse (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1238 2022-12-01T10:45:31.6850840Z due to: 2022-12-01T10:45:31.6850924Z Traceback (most recent call last): 2022-12-01T10:45:31.6851076Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6851315Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6851548Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6851557Z 2022-12-01T10:45:31.6851614Z from user code: 2022-12-01T10:45:31.6851729Z File "test_jit.py", line 1240, in 2022-12-01T10:45:31.6851851Z FileCheck().check_count("add", 1).check_count("mul", 2, do_exactly) \ 2022-12-01T10:45:31.6851856Z 2022-12-01T10:45:31.6851982Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6852037Z ========== 2022-12-01T10:45:31.6852096Z ok (0.034s) 2022-12-01T10:45:31.6852454Z test_cse_not_introduce_aliasing (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1247 2022-12-01T10:45:31.6852505Z due to: 2022-12-01T10:45:31.6852590Z Traceback (most recent call last): 2022-12-01T10:45:31.6852745Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6852857Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6853150Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6853155Z 2022-12-01T10:45:31.6853222Z from user code: 2022-12-01T10:45:31.6853358Z File "test_jit.py", line 1251, in 2022-12-01T10:45:31.6853514Z self.run_pass('cse', tensor_alias_outputs.graph) 2022-12-01T10:45:31.6853519Z 2022-12-01T10:45:31.6853634Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6853731Z ========== 2022-12-01T10:45:31.6853789Z ok (0.020s) 2022-12-01T10:45:31.6854099Z test_cu_escaped_number (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cu_escaped_number test_jit.py line 2643 2022-12-01T10:45:31.6854155Z due to: 2022-12-01T10:45:31.6854240Z Traceback (most recent call last): 2022-12-01T10:45:31.6854387Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6854631Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6854929Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.6854940Z 2022-12-01T10:45:31.6854998Z from user code: 2022-12-01T10:45:31.6855108Z File "test_jit.py", line 2647, in test_cu_escaped_number 2022-12-01T10:45:31.6855185Z ''') 2022-12-01T10:45:31.6855192Z 2022-12-01T10:45:31.6855314Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6855371Z ========== 2022-12-01T10:45:31.6855429Z ok (0.005s) 2022-12-01T10:45:31.6855565Z test_cuda_export_restore (__main__.TestJit) ... skip: requires CUDA (0.001s) 2022-12-01T10:45:31.6855684Z test_debug_flush_compilation_cache (__main__.TestJit) ... ok (0.033s) 2022-12-01T10:45:31.6856000Z test_decompose_addmm (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2051 2022-12-01T10:45:31.6856056Z due to: 2022-12-01T10:45:31.6856143Z Traceback (most recent call last): 2022-12-01T10:45:31.6856304Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6856416Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6856706Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6856713Z 2022-12-01T10:45:31.6856779Z from user code: 2022-12-01T10:45:31.6856892Z File "test_jit.py", line 2052, in 2022-12-01T10:45:31.6857039Z self.run_pass('decompose_ops', addmm.graph) 2022-12-01T10:45:31.6857044Z 2022-12-01T10:45:31.6857166Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6857224Z ========== 2022-12-01T10:45:31.6857473Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2058 2022-12-01T10:45:31.6857533Z due to: 2022-12-01T10:45:31.6857616Z Traceback (most recent call last): 2022-12-01T10:45:31.6857767Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6857879Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6858172Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6858180Z 2022-12-01T10:45:31.6858242Z from user code: 2022-12-01T10:45:31.6858369Z File "test_jit.py", line 2065, in 2022-12-01T10:45:31.6858447Z orig = str(addmm.graph) 2022-12-01T10:45:31.6858453Z 2022-12-01T10:45:31.6858575Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6858636Z ========== 2022-12-01T10:45:31.6858688Z ok (0.085s) 2022-12-01T10:45:31.6858813Z test_device_not_equal (__main__.TestJit) ... skip: requires CUDA (0.001s) 2022-12-01T10:45:31.6859182Z test_diff_subgraph_clones_constants (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1156 2022-12-01T10:45:31.6859238Z due to: 2022-12-01T10:45:31.6859321Z Traceback (most recent call last): 2022-12-01T10:45:31.6859478Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6859588Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6859913Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6859918Z 2022-12-01T10:45:31.6859979Z from user code: 2022-12-01T10:45:31.6860115Z File "test_jit.py", line 1163, in 2022-12-01T10:45:31.6860194Z graph = f.graph.copy() 2022-12-01T10:45:31.6860199Z 2022-12-01T10:45:31.6860326Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6860381Z ========== 2022-12-01T10:45:31.6860439Z ok (0.019s) 2022-12-01T10:45:31.6860737Z test_disabled (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyModule test_jit.py line 929 2022-12-01T10:45:31.6860796Z due to: 2022-12-01T10:45:31.6860874Z Traceback (most recent call last): 2022-12-01T10:45:31.6861016Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6861098Z raise Unsupported(msg) 2022-12-01T10:45:31.6861212Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6861217Z 2022-12-01T10:45:31.6861281Z from user code: 2022-12-01T10:45:31.6861370Z File "test_jit.py", line 929, in MyModule 2022-12-01T10:45:31.6861478Z class MyModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.6861484Z 2022-12-01T10:45:31.6861606Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6861656Z ========== 2022-12-01T10:45:31.6861714Z ok (0.008s) 2022-12-01T10:45:31.6861986Z test_dropout (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_dropout test_jit.py line 1785 2022-12-01T10:45:31.6862046Z due to: 2022-12-01T10:45:31.6862131Z Traceback (most recent call last): 2022-12-01T10:45:31.6862281Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6862526Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6862811Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.6862821Z 2022-12-01T10:45:31.6862877Z from user code: 2022-12-01T10:45:31.6862974Z File "test_jit.py", line 1787, in test_dropout 2022-12-01T10:45:31.6863075Z with torch.random.fork_rng(devices=[]): 2022-12-01T10:45:31.6863080Z 2022-12-01T10:45:31.6863201Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6863260Z ========== 2022-12-01T10:45:31.6863317Z ok (0.005s) 2022-12-01T10:45:31.6863460Z test_dropout_cuda (__main__.TestJit) ... skip: test_dropout_cuda require CUDA (0.001s) 2022-12-01T10:45:31.6863651Z test_dropout_func_requires_grad (__main__.TestJit) ... skip: Torchdynamo cannot correctly handle profiler.profile calls (0.001s) 2022-12-01T10:45:31.6863811Z test_dropout_module_requires_grad (__main__.TestJit) ... skip: Testing differentiable graph (0.001s) 2022-12-01T10:45:31.6864072Z test_einsum (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT check test_jit.py line 1985 2022-12-01T10:45:31.6864133Z due to: 2022-12-01T10:45:31.6864217Z Traceback (most recent call last): 2022-12-01T10:45:31.6864371Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6864488Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6864778Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6864783Z 2022-12-01T10:45:31.6864839Z from user code: 2022-12-01T10:45:31.6864930Z File "test_jit.py", line 1986, in check 2022-12-01T10:45:31.6865169Z self.assertGraphContains(jitted.graph, kind='aten::einsum') 2022-12-01T10:45:31.6865174Z 2022-12-01T10:45:31.6865300Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6865355Z ========== 2022-12-01T10:45:31.6865416Z ok (0.064s) 2022-12-01T10:45:31.6865764Z test_element_size (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 885 2022-12-01T10:45:31.6865820Z due to: 2022-12-01T10:45:31.6865897Z Traceback (most recent call last): 2022-12-01T10:45:31.6866044Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6866290Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6866487Z AssertionError: torch.* op returned non-Tensor int call_method element_size 2022-12-01T10:45:31.6866492Z 2022-12-01T10:45:31.6866557Z from user code: 2022-12-01T10:45:31.6866718Z File "test_jit.py", line 886, in 2022-12-01T10:45:31.6866832Z self.assertEqual(element_size, x.element_size()) 2022-12-01T10:45:31.6866837Z 2022-12-01T10:45:31.6866958Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6867009Z ========== 2022-12-01T10:45:31.6867069Z ok (0.023s) 2022-12-01T10:45:31.6867190Z test_expand_fold_quant_inputs (__main__.TestJit) ... ok (0.010s) 2022-12-01T10:45:31.6867296Z test_expand_quantlint (__main__.TestJit) ... ok (0.010s) 2022-12-01T10:45:31.6867475Z test_export_batchnorm (__main__.TestJit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:45:31.6867793Z test_export_dropout (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2561 2022-12-01T10:45:31.6867856Z due to: 2022-12-01T10:45:31.6867939Z Traceback (most recent call last): 2022-12-01T10:45:31.6868153Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.6868336Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.6868522Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.6868529Z 2022-12-01T10:45:31.6868596Z from user code: 2022-12-01T10:45:31.6868718Z File "test_jit.py", line 2563, in 2022-12-01T10:45:31.6868821Z self.assertEqual(traced(x), imported(x)) 2022-12-01T10:45:31.6868826Z 2022-12-01T10:45:31.6868950Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6869004Z ========== 2022-12-01T10:45:31.6869056Z ok (0.029s) 2022-12-01T10:45:31.6869157Z test_export_lstm (__main__.TestJit) ... ok (0.043s) 2022-12-01T10:45:31.6869428Z test_export_opnames (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo test_jit.py line 2889 2022-12-01T10:45:31.6869484Z due to: 2022-12-01T10:45:31.6869571Z Traceback (most recent call last): 2022-12-01T10:45:31.6869716Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6869793Z raise Unsupported(msg) 2022-12-01T10:45:31.6869903Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6869910Z 2022-12-01T10:45:31.6869977Z from user code: 2022-12-01T10:45:31.6870064Z File "test_jit.py", line 2889, in Foo 2022-12-01T10:45:31.6870163Z class Foo(torch.jit.ScriptModule): 2022-12-01T10:45:31.6870168Z 2022-12-01T10:45:31.6870295Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6870354Z ========== 2022-12-01T10:45:31.6870561Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Bar test_jit.py line 2906 2022-12-01T10:45:31.6870611Z due to: 2022-12-01T10:45:31.6870698Z Traceback (most recent call last): 2022-12-01T10:45:31.6870847Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6870929Z raise Unsupported(msg) 2022-12-01T10:45:31.6871050Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6871055Z 2022-12-01T10:45:31.6871124Z from user code: 2022-12-01T10:45:31.6871210Z File "test_jit.py", line 2906, in Bar 2022-12-01T10:45:31.6871308Z class Bar(torch.jit.ScriptModule): 2022-12-01T10:45:31.6871343Z 2022-12-01T10:45:31.6871460Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6871521Z ========== 2022-12-01T10:45:31.6871732Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 2907 2022-12-01T10:45:31.6871791Z due to: 2022-12-01T10:45:31.6871875Z Traceback (most recent call last): 2022-12-01T10:45:31.6872038Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6872165Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6872315Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6872331Z 2022-12-01T10:45:31.6872417Z from user code: 2022-12-01T10:45:31.6872513Z File "test_jit.py", line 2908, in __init__ 2022-12-01T10:45:31.6872592Z super(Bar, self).__init__() 2022-12-01T10:45:31.6872597Z 2022-12-01T10:45:31.6872721Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6872785Z ========== 2022-12-01T10:45:31.6872993Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 2890 2022-12-01T10:45:31.6873054Z due to: 2022-12-01T10:45:31.6873131Z Traceback (most recent call last): 2022-12-01T10:45:31.6873295Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6873418Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6873575Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6873580Z 2022-12-01T10:45:31.6873649Z from user code: 2022-12-01T10:45:31.6873744Z File "test_jit.py", line 2891, in __init__ 2022-12-01T10:45:31.6873830Z super(Foo, self).__init__() 2022-12-01T10:45:31.6873835Z 2022-12-01T10:45:31.6873965Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6874015Z ========== 2022-12-01T10:45:31.6874080Z ok (0.022s) 2022-12-01T10:45:31.6874187Z test_export_rnn (__main__.TestJit) ... ok (0.070s) 2022-12-01T10:45:31.6874344Z test_flags (__main__.TestJit) ... skip: Need to instrument GraphExecutors a bit more (0.001s) 2022-12-01T10:45:31.6874466Z test_function_default_values (__main__.TestJit) ... ok (0.342s) 2022-12-01T10:45:31.6874854Z test_hide_source_ranges_context_manager (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2993 2022-12-01T10:45:31.6874920Z due to: 2022-12-01T10:45:31.6875000Z Traceback (most recent call last): 2022-12-01T10:45:31.6875163Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6875284Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6875583Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6875588Z 2022-12-01T10:45:31.6875658Z from user code: 2022-12-01T10:45:31.6875813Z File "test_jit.py", line 2997, in 2022-12-01T10:45:31.6875888Z graph = foo.graph 2022-12-01T10:45:31.6875893Z 2022-12-01T10:45:31.6876021Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6876083Z ========== 2022-12-01T10:45:31.6876138Z ok (0.019s) 2022-12-01T10:45:31.6876432Z test_import_method (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_import_method test_jit.py line 2650 2022-12-01T10:45:31.6876495Z due to: 2022-12-01T10:45:31.6876584Z Traceback (most recent call last): 2022-12-01T10:45:31.6876741Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6876988Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6877300Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.6877336Z 2022-12-01T10:45:31.6877404Z from user code: 2022-12-01T10:45:31.6877503Z File "test_jit.py", line 2651, in test_import_method 2022-12-01T10:45:31.6877611Z with torch._jit_internal._disable_emit_hooks(): 2022-12-01T10:45:31.6877616Z 2022-12-01T10:45:31.6877745Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6877808Z ========== 2022-12-01T10:45:31.6878014Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo test_jit.py line 2652 2022-12-01T10:45:31.6878076Z due to: 2022-12-01T10:45:31.6878168Z Traceback (most recent call last): 2022-12-01T10:45:31.6878304Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6878416Z raise Unsupported(msg) 2022-12-01T10:45:31.6878541Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6878545Z 2022-12-01T10:45:31.6878615Z from user code: 2022-12-01T10:45:31.6878706Z File "test_jit.py", line 2652, in Foo 2022-12-01T10:45:31.6878810Z class Foo(torch.jit.ScriptModule): 2022-12-01T10:45:31.6878815Z 2022-12-01T10:45:31.6878942Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6878992Z ========== 2022-12-01T10:45:31.6879205Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 2653 2022-12-01T10:45:31.6879269Z due to: 2022-12-01T10:45:31.6879359Z Traceback (most recent call last): 2022-12-01T10:45:31.6879525Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6879648Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6879811Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6879816Z 2022-12-01T10:45:31.6879884Z from user code: 2022-12-01T10:45:31.6879969Z File "test_jit.py", line 2654, in __init__ 2022-12-01T10:45:31.6880053Z super(Foo, self).__init__() 2022-12-01T10:45:31.6880058Z 2022-12-01T10:45:31.6880184Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6880245Z ========== 2022-12-01T10:45:31.6880310Z ok (0.010s) 2022-12-01T10:45:31.6880427Z test_inferred_as_tensor (__main__.TestJit) ... ok (0.008s) 2022-12-01T10:45:31.6880528Z test_layout (__main__.TestJit) ... ok (0.027s) 2022-12-01T10:45:31.6880637Z test_matrix_conj_transpose (__main__.TestJit) ... ok (0.045s) 2022-12-01T10:45:31.6880751Z test_matrix_transpose (__main__.TestJit) ... ok (0.025s) 2022-12-01T10:45:31.6881039Z test_module_default_values (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Test test_jit.py line 2751 2022-12-01T10:45:31.6881103Z due to: 2022-12-01T10:45:31.6881194Z Traceback (most recent call last): 2022-12-01T10:45:31.6881345Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6881430Z raise Unsupported(msg) 2022-12-01T10:45:31.6881552Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6881557Z 2022-12-01T10:45:31.6881617Z from user code: 2022-12-01T10:45:31.6881710Z File "test_jit.py", line 2751, in Test 2022-12-01T10:45:31.6881813Z class Test(torch.jit.ScriptModule): 2022-12-01T10:45:31.6881818Z 2022-12-01T10:45:31.6881947Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6882007Z ========== 2022-12-01T10:45:31.6882220Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 2752 2022-12-01T10:45:31.6882283Z due to: 2022-12-01T10:45:31.6882361Z Traceback (most recent call last): 2022-12-01T10:45:31.6882524Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6882650Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6882809Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6882813Z 2022-12-01T10:45:31.6882879Z from user code: 2022-12-01T10:45:31.6882976Z File "test_jit.py", line 2753, in __init__ 2022-12-01T10:45:31.6883094Z super(Test, self).__init__() 2022-12-01T10:45:31.6883099Z 2022-12-01T10:45:31.6883228Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6883278Z ========== 2022-12-01T10:45:31.6883343Z ok (0.012s) 2022-12-01T10:45:31.6883466Z test_mutable_default_values (__main__.TestJit) ... ok (0.012s) 2022-12-01T10:45:31.6883617Z test_native_dropout_corner_case (__main__.TestJit) ... skip: test requires CUDA (0.001s) 2022-12-01T10:45:31.6883717Z test_nn_conv (__main__.TestJit) ... ok (0.296s) 2022-12-01T10:45:31.6883825Z test_nn_lp_pool1d (__main__.TestJit) ... ok (0.144s) 2022-12-01T10:45:31.6883929Z test_nn_lp_pool2d (__main__.TestJit) ... ok (0.158s) 2022-12-01T10:45:31.6884050Z test_nn_padding (__main__.TestJit) ... ok (0.271s) 2022-12-01T10:45:31.6884170Z test_nn_padding_functional (__main__.TestJit) ... ok (0.041s) 2022-12-01T10:45:31.6884289Z test_no_erroneous_warnings (__main__.TestJit) ... ok (0.101s) 2022-12-01T10:45:31.6884464Z test_non_ascii_string (__main__.TestJit) ... skip: temporarily disable the test for fwd compatibility (0.001s) 2022-12-01T10:45:31.6884565Z test_numel (__main__.TestJit) ... ok (0.026s) 2022-12-01T10:45:31.6884693Z test_pattern_based_module_rewrite (__main__.TestJit) ... ok (0.033s) 2022-12-01T10:45:31.6885019Z test_pattern_based_rewrite (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pattern_based_rewrite test_jit.py line 1286 2022-12-01T10:45:31.6885084Z due to: 2022-12-01T10:45:31.6885164Z Traceback (most recent call last): 2022-12-01T10:45:31.6885317Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6885566Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6885871Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6885876Z 2022-12-01T10:45:31.6885947Z from user code: 2022-12-01T10:45:31.6886066Z File "test_jit.py", line 1299, in test_pattern_based_rewrite 2022-12-01T10:45:31.6886150Z graph = parse_ir(input_str) 2022-12-01T10:45:31.6886155Z 2022-12-01T10:45:31.6886284Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6886349Z ========== 2022-12-01T10:45:31.6886403Z ok (0.004s) 2022-12-01T10:45:31.6886554Z test_pattern_based_rewrite_with_source_range_preserved (__main__.TestJit) ... ok (0.035s) 2022-12-01T10:45:31.6886828Z test_peephole_optimize_shape_ops (__main__.TestJit) ... skip: Simple executor doesn't have shape information (0.003s) 2022-12-01T10:45:31.6887312Z test_permute_inputs_binding (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1703 2022-12-01T10:45:31.6887377Z due to: 2022-12-01T10:45:31.6887469Z Traceback (most recent call last): 2022-12-01T10:45:31.6887633Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6887741Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6888045Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6888050Z 2022-12-01T10:45:31.6888120Z from user code: 2022-12-01T10:45:31.6888260Z File "test_jit.py", line 1707, in 2022-12-01T10:45:31.6888401Z g = foo.graph 2022-12-01T10:45:31.6888408Z 2022-12-01T10:45:31.6888537Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6888599Z ========== 2022-12-01T10:45:31.6888660Z ok (0.020s) 2022-12-01T10:45:31.6888976Z test_pretty_printer (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2629 2022-12-01T10:45:31.6889038Z due to: 2022-12-01T10:45:31.6889129Z Traceback (most recent call last): 2022-12-01T10:45:31.6889348Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6889465Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6889763Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6889768Z 2022-12-01T10:45:31.6889837Z from user code: 2022-12-01T10:45:31.6889966Z File "test_jit.py", line 2633, in 2022-12-01T10:45:31.6890068Z self.assertExpected(if_test.code, "if_test") 2022-12-01T10:45:31.6890085Z 2022-12-01T10:45:31.6890200Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6890297Z ========== 2022-12-01T10:45:31.6890365Z ok (0.240s) 2022-12-01T10:45:31.6890486Z test_print_classes_module (__main__.TestJit) ... ok (0.005s) 2022-12-01T10:45:31.6890596Z test_print_op_module (__main__.TestJit) ... ok (0.005s) 2022-12-01T10:45:31.6890714Z test_print_torch_ops_modules (__main__.TestJit) ... ok (0.018s) 2022-12-01T10:45:31.6891353Z test_profiler (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/65521 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-12-01T10:45:31.6891468Z test_python_bindings (__main__.TestJit) ... ok (0.944s) 2022-12-01T10:45:31.6891766Z test_python_ir (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1681 2022-12-01T10:45:31.6891830Z due to: 2022-12-01T10:45:31.6891924Z Traceback (most recent call last): 2022-12-01T10:45:31.6892080Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6892328Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6892563Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6892569Z 2022-12-01T10:45:31.6892639Z from user code: 2022-12-01T10:45:31.6892768Z File "test_jit.py", line 1682, in 2022-12-01T10:45:31.6892833Z g2 = torch._C.Graph() 2022-12-01T10:45:31.6892838Z 2022-12-01T10:45:31.6892966Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6893027Z ========== 2022-12-01T10:45:31.6893092Z ok (0.191s) 2022-12-01T10:45:31.6893424Z test_python_ir_utils (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1721 2022-12-01T10:45:31.6893489Z due to: 2022-12-01T10:45:31.6893580Z Traceback (most recent call last): 2022-12-01T10:45:31.6893730Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6893848Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6894150Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6894156Z 2022-12-01T10:45:31.6894229Z from user code: 2022-12-01T10:45:31.6894359Z File "test_jit.py", line 1728, in 2022-12-01T10:45:31.6894476Z add_node = foo.graph.findNode("aten::add") 2022-12-01T10:45:31.6894481Z 2022-12-01T10:45:31.6894613Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6894673Z ========== 2022-12-01T10:45:31.6894739Z ok (0.022s) 2022-12-01T10:45:31.6895378Z test_python_ir_utils_graph (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73473 for platform(s) macos, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-12-01T10:45:31.6895569Z test_python_ivalue (__main__.TestJit) ... skip: TorchDynamo fails with unknown reason (0.001s) 2022-12-01T10:45:31.6895687Z test_pytorch_jit_env_off (__main__.TestJit) ... ok (0.899s) 2022-12-01T10:45:31.6895985Z test_recursive_cse (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_recursive_cse test_jit.py line 1263 2022-12-01T10:45:31.6896049Z due to: 2022-12-01T10:45:31.6896140Z Traceback (most recent call last): 2022-12-01T10:45:31.6896295Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6896570Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6896880Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6896886Z 2022-12-01T10:45:31.6896943Z from user code: 2022-12-01T10:45:31.6897054Z File "test_jit.py", line 1282, in test_recursive_cse 2022-12-01T10:45:31.6897143Z graph = parse_ir(input_str) 2022-12-01T10:45:31.6897148Z 2022-12-01T10:45:31.6897278Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6897341Z ========== 2022-12-01T10:45:31.6897407Z ok (0.005s) 2022-12-01T10:45:31.6897531Z test_repeat_interleave_script (__main__.TestJit) ... ok (0.049s) 2022-12-01T10:45:31.6897803Z test_restore_device (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 398 2022-12-01T10:45:31.6897868Z due to: 2022-12-01T10:45:31.6897959Z Traceback (most recent call last): 2022-12-01T10:45:31.6898127Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6898252Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6898415Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6898420Z 2022-12-01T10:45:31.6898493Z from user code: 2022-12-01T10:45:31.6898590Z File "test_jit.py", line 399, in __init__ 2022-12-01T10:45:31.6898658Z super(M, self).__init__() 2022-12-01T10:45:31.6898663Z 2022-12-01T10:45:31.6898793Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6898857Z ========== 2022-12-01T10:45:31.6898923Z ok (0.012s) 2022-12-01T10:45:31.6899082Z test_restore_device_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.002s) 2022-12-01T10:45:31.6899250Z test_restore_shared_storage_on_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.001s) 2022-12-01T10:45:31.6899601Z test_script_autograd_grad (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 4 2022-12-01T10:45:31.6899663Z due to: 2022-12-01T10:45:31.6899743Z Traceback (most recent call last): 2022-12-01T10:45:31.6899913Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6900040Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6900205Z NotImplementedError: UserDefinedObjectVariable(_GenericAlias) is not a constant 2022-12-01T10:45:31.6900210Z 2022-12-01T10:45:31.6900279Z from user code: 2022-12-01T10:45:31.6900421Z File "", line 4, in 2022-12-01T10:45:31.6900426Z 2022-12-01T10:45:31.6900556Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6900617Z ========== 2022-12-01T10:45:31.6900889Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1065 2022-12-01T10:45:31.6900956Z due to: 2022-12-01T10:45:31.6901047Z Traceback (most recent call last): 2022-12-01T10:45:31.6901212Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6901337Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6901536Z NotImplementedError: UserDefinedObjectVariable(_GenericAlias) is not a constant 2022-12-01T10:45:31.6901541Z 2022-12-01T10:45:31.6901609Z from user code: 2022-12-01T10:45:31.6901755Z File "test_jit.py", line 1065, in 2022-12-01T10:45:31.6901901Z grad_outputs = torch.jit.annotate(List[Optional[torch.Tensor]], [torch.ones((2, 2)), ]) 2022-12-01T10:45:31.6901906Z 2022-12-01T10:45:31.6902035Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6902096Z ========== 2022-12-01T10:45:31.6902160Z ok (0.460s) 2022-12-01T10:45:31.6902526Z test_script_backward (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1088 2022-12-01T10:45:31.6902594Z due to: 2022-12-01T10:45:31.6902685Z Traceback (most recent call last): 2022-12-01T10:45:31.6902841Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6903078Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6903322Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.6903327Z 2022-12-01T10:45:31.6903399Z from user code: 2022-12-01T10:45:31.6903539Z File "test_jit.py", line 1089, in 2022-12-01T10:45:31.6903681Z FileCheck().check("torch.autograd.backward").run(scripted_fn.code) 2022-12-01T10:45:31.6903687Z 2022-12-01T10:45:31.6903816Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6903878Z ========== 2022-12-01T10:45:31.6904182Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1115 2022-12-01T10:45:31.6904234Z due to: 2022-12-01T10:45:31.6904326Z Traceback (most recent call last): 2022-12-01T10:45:31.6904495Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6904623Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6904786Z NotImplementedError: UserDefinedObjectVariable(_GenericAlias) is not a constant 2022-12-01T10:45:31.6904790Z 2022-12-01T10:45:31.6904858Z from user code: 2022-12-01T10:45:31.6905017Z File "test_jit.py", line 1115, in 2022-12-01T10:45:31.6905175Z grad_outputs = torch.jit.annotate(List[Optional[torch.Tensor]], [torch.ones((2, 2)), ]) 2022-12-01T10:45:31.6905180Z 2022-12-01T10:45:31.6905297Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6905361Z ========== 2022-12-01T10:45:31.6905425Z ok (0.085s) 2022-12-01T10:45:31.6905749Z test_script_backward_twice (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_script_backward_twice test_jit.py line 1123 2022-12-01T10:45:31.6905815Z due to: 2022-12-01T10:45:31.6905906Z Traceback (most recent call last): 2022-12-01T10:45:31.6906060Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6906309Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6906629Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.6906647Z 2022-12-01T10:45:31.6906705Z from user code: 2022-12-01T10:45:31.6906826Z File "test_jit.py", line 1152, in test_script_backward_twice 2022-12-01T10:45:31.6907001Z checkBackwardTwiceScript(test_script_backward_twice_with_saved_values, (inp1, inp2), False) 2022-12-01T10:45:31.6907006Z 2022-12-01T10:45:31.6907135Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6907198Z ========== 2022-12-01T10:45:31.6907451Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT checkBackwardTwiceScript test_jit.py line 1124 2022-12-01T10:45:31.6907550Z due to: 2022-12-01T10:45:31.6907629Z Traceback (most recent call last): 2022-12-01T10:45:31.6907781Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6908028Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6908352Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.6908357Z 2022-12-01T10:45:31.6908428Z from user code: 2022-12-01T10:45:31.6908555Z File "test_jit.py", line 1125, in checkBackwardTwiceScript 2022-12-01T10:45:31.6908701Z torch._C._jit_set_profiling_executor(False) 2022-12-01T10:45:31.6908707Z 2022-12-01T10:45:31.6908834Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6908884Z ========== 2022-12-01T10:45:31.6909247Z /opt/conda/lib/python3.7/site-packages/torch/jit/_script.py:1244: UserWarning: `optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead 2022-12-01T10:45:31.6909419Z "`optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead" 2022-12-01T10:45:31.6909783Z /opt/conda/lib/python3.7/site-packages/torch/jit/_script.py:1244: UserWarning: `optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead 2022-12-01T10:45:31.6909947Z "`optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead" 2022-12-01T10:45:31.6910013Z ok (0.025s) 2022-12-01T10:45:31.6910123Z test_script_fn_pkl (__main__.TestJit) ... ok (0.010s) 2022-12-01T10:45:31.6910244Z test_script_tensor_type (__main__.TestJit) ... ok (0.047s) 2022-12-01T10:45:31.6910609Z test_shape_analysis_broadcast (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 1589 2022-12-01T10:45:31.6910663Z due to: 2022-12-01T10:45:31.6910753Z Traceback (most recent call last): 2022-12-01T10:45:31.6910912Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.6911029Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.6911323Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.6911329Z 2022-12-01T10:45:31.6911398Z from user code: 2022-12-01T10:45:31.6911541Z File "test_jit.py", line 1589, in 2022-12-01T10:45:31.6911650Z graph = torch.jit.script(broadcast).graph 2022-12-01T10:45:31.6911657Z 2022-12-01T10:45:31.6911773Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6911834Z ========== 2022-12-01T10:45:31.6911896Z ok (0.021s) 2022-12-01T10:45:31.6912238Z test_shape_analysis_masked_select (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_analysis_masked_select test_jit.py line 1619 2022-12-01T10:45:31.6912304Z due to: 2022-12-01T10:45:31.6912395Z Traceback (most recent call last): 2022-12-01T10:45:31.6912550Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6912799Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6913090Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6913095Z 2022-12-01T10:45:31.6913163Z from user code: 2022-12-01T10:45:31.6913291Z File "test_jit.py", line 1625, in test_shape_analysis_masked_select 2022-12-01T10:45:31.6913373Z graph = parse_ir(input_str) 2022-12-01T10:45:31.6913379Z 2022-12-01T10:45:31.6913508Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6913568Z ========== 2022-12-01T10:45:31.6913665Z ok (0.003s) 2022-12-01T10:45:31.6914021Z test_shape_analysis_unsqueeze_in_loop (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_analysis_unsqueeze_in_loop test_jit.py line 1593 2022-12-01T10:45:31.6914073Z due to: 2022-12-01T10:45:31.6914163Z Traceback (most recent call last): 2022-12-01T10:45:31.6914318Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6914566Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6914868Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.6914904Z 2022-12-01T10:45:31.6914973Z from user code: 2022-12-01T10:45:31.6915107Z File "test_jit.py", line 1606, in test_shape_analysis_unsqueeze_in_loop 2022-12-01T10:45:31.6915194Z graph = parse_ir(input_str) 2022-12-01T10:45:31.6915199Z 2022-12-01T10:45:31.6915318Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6915379Z ========== 2022-12-01T10:45:31.6915445Z ok (0.003s) 2022-12-01T10:45:31.6915779Z test_sparse_csr_tensors (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 2120 2022-12-01T10:45:31.6915845Z due to: 2022-12-01T10:45:31.6915937Z Traceback (most recent call last): 2022-12-01T10:45:31.6916153Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.6916239Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.6918086Z NotImplementedError: Could not run 'aten::to_sparse_csr' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csr' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:45:31.6918096Z 2022-12-01T10:45:31.6918267Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:45:31.6918456Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:45:31.6918653Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:45:31.6918879Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:45:31.6919079Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:45:31.6919307Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:45:31.6919521Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:45:31.6919714Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:45:31.6919899Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.6920088Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.6920311Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:45:31.6920535Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:45:31.6920726Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6920927Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6921158Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6921357Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6921555Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6921750Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6921943Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6922142Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6922338Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6922533Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6922720Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6922916Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6923127Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6923338Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6923548Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6923761Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6923939Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:45:31.6924137Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:45:31.6924332Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:45:31.6924564Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:45:31.6924799Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:45:31.6924982Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:45:31.6925193Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:45:31.6925403Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:45:31.6925650Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:45:31.6925875Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:45:31.6926083Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:45:31.6926088Z 2022-12-01T10:45:31.6926092Z 2022-12-01T10:45:31.6926228Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.6926234Z 2022-12-01T10:45:31.6926356Z Traceback (most recent call last): 2022-12-01T10:45:31.6926588Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:45:31.6926738Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:45:31.6926871Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:45:31.6926876Z 2022-12-01T10:45:31.6927140Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.6927146Z 2022-12-01T10:45:31.6927233Z Traceback (most recent call last): 2022-12-01T10:45:31.6927395Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.6927490Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.6927598Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.6927603Z 2022-12-01T10:45:31.6927672Z from user code: 2022-12-01T10:45:31.6927806Z File "test_jit.py", line 2125, in 2022-12-01T10:45:31.6927923Z script_out_is_sparse_csr = test_is_sparse_csr(get_sparse_csr()) 2022-12-01T10:45:31.6927941Z 2022-12-01T10:45:31.6928059Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6928121Z ========== 2022-12-01T10:45:31.6928421Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT get_sparse_csr test_jit.py line 2116 2022-12-01T10:45:31.6928487Z due to: 2022-12-01T10:45:31.6928578Z Traceback (most recent call last): 2022-12-01T10:45:31.6928797Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.6928892Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.6930726Z NotImplementedError: Could not run 'aten::to_sparse_csr' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csr' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:45:31.6930736Z 2022-12-01T10:45:31.6930906Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:45:31.6931094Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:45:31.6931292Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:45:31.6931517Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:45:31.6931780Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:45:31.6932003Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:45:31.6932217Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:45:31.6932400Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:45:31.6932587Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.6932811Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.6932999Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:45:31.6933227Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:45:31.6933504Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6933775Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6934115Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6934810Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6935394Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6936059Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6936603Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6937219Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6937844Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6938423Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6939018Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6939676Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6940395Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6941132Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6941840Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6942549Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:45:31.6943165Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:45:31.6943836Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:45:31.6944537Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:45:31.6945451Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:45:31.6946256Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:45:31.6946936Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:45:31.6947658Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:45:31.6948506Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:45:31.6949283Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:45:31.6950158Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:45:31.6951015Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:45:31.6951442Z 2022-12-01T10:45:31.6951450Z 2022-12-01T10:45:31.6951700Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.6952001Z 2022-12-01T10:45:31.6952152Z Traceback (most recent call last): 2022-12-01T10:45:31.6952822Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:45:31.6953413Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:45:31.6953993Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:45:31.6954301Z 2022-12-01T10:45:31.6954551Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.6954852Z 2022-12-01T10:45:31.6955022Z Traceback (most recent call last): 2022-12-01T10:45:31.6955532Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.6956017Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.6956444Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.6956700Z 2022-12-01T10:45:31.6956824Z from user code: 2022-12-01T10:45:31.6957180Z File "test_jit.py", line 2118, in get_sparse_csr 2022-12-01T10:45:31.6957598Z return torch.randn(3, 3).to_sparse_csr() 2022-12-01T10:45:31.6957834Z 2022-12-01T10:45:31.6958073Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6958465Z ========== 2022-12-01T10:45:31.6958730Z ok (0.238s) 2022-12-01T10:45:31.6959100Z test_sparse_tensors (__main__.TestJit) ... ok (0.306s) 2022-12-01T10:45:31.6961197Z test_torch_complex (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:471: UserWarning: An output with one or more elements was resized since it had shape [3, 4], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:45:31.6962508Z return callable(*args, **kwargs) 2022-12-01T10:45:31.6964350Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:471: UserWarning: An output with one or more elements was resized since it had shape [5, 2], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:45:31.6965565Z return callable(*args, **kwargs) 2022-12-01T10:45:31.6965870Z ok (0.394s) 2022-12-01T10:45:31.6966596Z test_torch_load_error (__main__.TestJit) ... skip: TODO: re-enable with https://github.com/pytorch/pytorch/pull/29339 (0.001s) 2022-12-01T10:45:31.6968711Z test_torch_load_zipfile_check (__main__.TestJit) ... ok (0.027s) 2022-12-01T10:45:31.6969195Z test_torch_ops_kwonly (__main__.TestJit) ... ok (0.014s) 2022-12-01T10:45:31.6969649Z test_torch_ops_overloaded (__main__.TestJit) ... ok (0.012s) 2022-12-01T10:45:31.6970092Z test_torch_sum (__main__.TestJit) ... ok (0.057s) 2022-12-01T10:45:31.6970539Z test_trace_retains_train (__main__.TestJit) ... ok (0.009s) 2022-12-01T10:45:31.6971445Z test_train_eval (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyModule test_jit.py line 950 2022-12-01T10:45:31.6971926Z due to: 2022-12-01T10:45:31.6972258Z Traceback (most recent call last): 2022-12-01T10:45:31.6972760Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.6973215Z raise Unsupported(msg) 2022-12-01T10:45:31.6973639Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.6973922Z 2022-12-01T10:45:31.6974047Z from user code: 2022-12-01T10:45:31.6974386Z File "test_jit.py", line 950, in MyModule 2022-12-01T10:45:31.6974808Z class MyModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.6975063Z 2022-12-01T10:45:31.6975298Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6975693Z ========== 2022-12-01T10:45:31.6976234Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 951 2022-12-01T10:45:31.6976656Z due to: 2022-12-01T10:45:31.6976989Z Traceback (most recent call last): 2022-12-01T10:45:31.6977498Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6978062Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6978640Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6978950Z 2022-12-01T10:45:31.6979061Z from user code: 2022-12-01T10:45:31.6979402Z File "test_jit.py", line 952, in __init__ 2022-12-01T10:45:31.6979788Z super(MyModule, self).__init__() 2022-12-01T10:45:31.6980016Z 2022-12-01T10:45:31.6980255Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6980637Z ========== 2022-12-01T10:45:31.6980916Z ok (0.049s) 2022-12-01T10:45:31.6981276Z test_transpose (__main__.TestJit) ... ok (0.026s) 2022-12-01T10:45:31.6981703Z test_unchecked_cast (__main__.TestJit) ... ok (0.038s) 2022-12-01T10:45:31.6982159Z test_unique_state_dict (__main__.TestJit) ... ok (0.007s) 2022-12-01T10:45:31.6982718Z test_verify (__main__.TestJit) ... skip: verify needs to be updated to work with GraphExecutors (0.001s) 2022-12-01T10:45:31.6983337Z test_warnings (__main__.TestJit) ... skip: TorchDynamo fails with unknown reason (0.002s) 2022-12-01T10:45:31.6984333Z test_nn_AdaptiveAvgPool1d (__main__.TestJitGeneratedModule) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 16360 2022-12-01T10:45:31.6984927Z due to: 2022-12-01T10:45:31.6985258Z Traceback (most recent call last): 2022-12-01T10:45:31.6985750Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.6986534Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.6987253Z AssertionError: torch.* op returned non-Tensor bool call_method is_complex 2022-12-01T10:45:31.6987566Z 2022-12-01T10:45:31.6987691Z from user code: 2022-12-01T10:45:31.6988073Z File "test_jit.py", line 16364, in 2022-12-01T10:45:31.6988517Z if all(tensor.is_complex() for tensor in input): 2022-12-01T10:45:31.6988772Z 2022-12-01T10:45:31.6989003Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6989468Z ========== 2022-12-01T10:45:31.6990019Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 16334 2022-12-01T10:45:31.6990452Z due to: 2022-12-01T10:45:31.6990739Z Traceback (most recent call last): 2022-12-01T10:45:31.6991236Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.6991814Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.6992322Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.6992656Z 2022-12-01T10:45:31.6992760Z from user code: 2022-12-01T10:45:31.6993027Z File "test_jit.py", line 16335, in __init__ 2022-12-01T10:45:31.6993386Z super(TheModule, self).__init__() 2022-12-01T10:45:31.6993568Z 2022-12-01T10:45:31.6993765Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.6994083Z ========== 2022-12-01T10:45:31.6994307Z ok (0.136s) 2022-12-01T10:45:31.6994777Z test_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.113s) 2022-12-01T10:45:31.6995388Z test_nn_AdaptiveAvgPool1d_one_output (__main__.TestJitGeneratedModule) ... ok (0.099s) 2022-12-01T10:45:31.6995884Z test_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.120s) 2022-12-01T10:45:31.6996491Z test_nn_AdaptiveAvgPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.107s) 2022-12-01T10:45:31.6997035Z test_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-12-01T10:45:31.6997530Z test_nn_AdaptiveAvgPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-12-01T10:45:31.6998104Z test_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.006s) 2022-12-01T10:45:31.6998725Z test_nn_AdaptiveAvgPool3d_last_dim (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-12-01T10:45:31.6999095Z test_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-12-01T10:45:31.6999432Z test_nn_AdaptiveAvgPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-12-01T10:45:31.6999752Z test_nn_AdaptiveAvgPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-12-01T10:45:31.7000088Z test_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7000415Z test_nn_AdaptiveMaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7000734Z test_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-12-01T10:45:31.7001071Z test_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7001403Z test_nn_AdaptiveMaxPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-12-01T10:45:31.7001732Z test_nn_AdaptiveMaxPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7002052Z test_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7002395Z test_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7002730Z test_nn_AdaptiveMaxPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7003061Z test_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7003400Z test_nn_AdaptiveMaxPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7003740Z test_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7004082Z test_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7004390Z test_nn_AvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7004692Z test_nn_AvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7005001Z test_nn_AvgPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7005391Z test_nn_AvgPool1d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7005694Z test_nn_AvgPool2d (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7005995Z test_nn_AvgPool2d_divisor (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7006310Z test_nn_AvgPool2d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7006622Z test_nn_AvgPool2d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7007134Z test_nn_AvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7007509Z test_nn_AvgPool2d_stride (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7007812Z test_nn_AvgPool2d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7008114Z test_nn_AvgPool3d (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7008493Z test_nn_AvgPool3d_divisor (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7008815Z test_nn_AvgPool3d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7009143Z test_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7009489Z test_nn_AvgPool3d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7009842Z test_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7010204Z test_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7010582Z test_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7010930Z test_nn_AvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7011237Z test_nn_AvgPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7011552Z test_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7011885Z test_nn_AvgPool3d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7012216Z test_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7012558Z test_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7012914Z test_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7013241Z test_nn_BCELoss (__main__.TestJitGeneratedModule) ... ok (0.064s) 2022-12-01T10:45:31.7013543Z test_nn_BCELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7013850Z test_nn_BCELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7014169Z test_nn_BCELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7014478Z test_nn_BCELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7014786Z test_nn_BCELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7015092Z test_nn_BCELoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7015402Z test_nn_BCELoss_weights (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7015714Z test_nn_BCELoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7016033Z test_nn_BCELoss_weights_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7016358Z test_nn_BCEWithLogitsLoss (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7016682Z test_nn_BCEWithLogitsLoss_legacy_enum (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7017024Z test_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7017416Z test_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7017759Z test_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7018101Z test_nn_BCEWithLogitsLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7018433Z test_nn_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7018777Z test_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7019147Z test_nn_BCEWithLogitsLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7019471Z test_nn_BatchNorm1d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.082s) 2022-12-01T10:45:31.7019784Z test_nn_BatchNorm1d_3d_input_not_affine (__main__.TestJitGeneratedModule) ... ok (0.079s) 2022-12-01T10:45:31.7020109Z test_nn_BatchNorm1d_affine (__main__.TestJitGeneratedModule) ... ok (0.081s) 2022-12-01T10:45:31.7020432Z test_nn_BatchNorm1d_affine_simple_average (__main__.TestJitGeneratedModule) ... ok (0.084s) 2022-12-01T10:45:31.7020752Z test_nn_BatchNorm1d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-12-01T10:45:31.7021078Z test_nn_BatchNorm1d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.077s) 2022-12-01T10:45:31.7021407Z test_nn_BatchNorm1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.079s) 2022-12-01T10:45:31.7021713Z test_nn_BatchNorm2d (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-12-01T10:45:31.7022107Z test_nn_BatchNorm2d_2d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.084s) 2022-12-01T10:45:31.7022433Z test_nn_BatchNorm2d_momentum (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-12-01T10:45:31.7022749Z test_nn_BatchNorm2d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.078s) 2022-12-01T10:45:31.7023067Z test_nn_BatchNorm2d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-12-01T10:45:31.7023395Z test_nn_BatchNorm2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.077s) 2022-12-01T10:45:31.7023697Z test_nn_BatchNorm3d (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-12-01T10:45:31.7024010Z test_nn_BatchNorm3d_3d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.083s) 2022-12-01T10:45:31.7024318Z test_nn_BatchNorm3d_momentum (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-12-01T10:45:31.7024634Z test_nn_BatchNorm3d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.079s) 2022-12-01T10:45:31.7024961Z test_nn_BatchNorm3d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-12-01T10:45:31.7025272Z test_nn_BatchNorm3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-12-01T10:45:31.7025571Z test_nn_Bilinear (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-12-01T10:45:31.7025857Z test_nn_CELU (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7026148Z test_nn_CELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7026435Z test_nn_CELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7026796Z test_nn_CTCLoss_2d_int_target_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-12-01T10:45:31.7027168Z test_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7027494Z test_nn_CTCLoss_2d_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.023s) 2022-12-01T10:45:31.7027836Z test_nn_CTCLoss_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-12-01T10:45:31.7028183Z test_nn_CTCLoss_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.023s) 2022-12-01T10:45:31.7028493Z test_nn_ConstantPad1d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7028827Z test_nn_ConstantPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7029145Z test_nn_ConstantPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7029458Z test_nn_ConstantPad2d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7029764Z test_nn_ConstantPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7030078Z test_nn_ConstantPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7030397Z test_nn_ConstantPad3d (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7030742Z test_nn_ConstantPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7031055Z test_nn_ConstantPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7031358Z test_nn_Conv1d (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7031663Z test_nn_Conv1d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7031976Z test_nn_Conv1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7032263Z test_nn_Conv1d_groups (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7032558Z test_nn_Conv1d_pad1 (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7032854Z test_nn_Conv1d_pad1size1 (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-12-01T10:45:31.7033138Z test_nn_Conv1d_pad2 (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7033431Z test_nn_Conv1d_pad2size1 (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7033734Z test_nn_Conv1d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7034025Z test_nn_Conv1d_pad_same2 (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7034330Z test_nn_Conv1d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7034640Z test_nn_Conv1d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-12-01T10:45:31.7034953Z test_nn_Conv1d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7035270Z test_nn_Conv1d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7035579Z test_nn_Conv1d_stride (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7035874Z test_nn_Conv1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-12-01T10:45:31.7036171Z test_nn_Conv1d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7036476Z test_nn_Conv2d (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7036781Z test_nn_Conv2d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-12-01T10:45:31.7037095Z test_nn_Conv2d_depthwise (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-12-01T10:45:31.7037396Z test_nn_Conv2d_depthwise_dilated (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-12-01T10:45:31.7037721Z test_nn_Conv2d_depthwise_padded (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7038041Z test_nn_Conv2d_depthwise_strided (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7038359Z test_nn_Conv2d_depthwise_with_multiplier (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7038675Z test_nn_Conv2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7038974Z test_nn_Conv2d_groups (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7039279Z test_nn_Conv2d_groups_thnn (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7039567Z test_nn_Conv2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7039863Z test_nn_Conv2d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7040174Z test_nn_Conv2d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7040507Z test_nn_Conv2d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7040808Z test_nn_Conv2d_padding (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7041126Z test_nn_Conv2d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7041453Z test_nn_Conv2d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7041756Z test_nn_Conv2d_strided (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7042059Z test_nn_Conv2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-12-01T10:45:31.7042397Z test_nn_Conv2d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7042685Z test_nn_Conv3d (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7042978Z test_nn_Conv3d_1x1x1_no_bias (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-12-01T10:45:31.7043295Z test_nn_Conv3d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-12-01T10:45:31.7043605Z test_nn_Conv3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7043897Z test_nn_Conv3d_dilated_strided (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7044201Z test_nn_Conv3d_groups (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7044494Z test_nn_Conv3d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7044778Z test_nn_Conv3d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7045090Z test_nn_Conv3d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7045397Z test_nn_Conv3d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7045945Z test_nn_Conv3d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-12-01T10:45:31.7046443Z test_nn_Conv3d_stride (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7046754Z test_nn_Conv3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7047192Z test_nn_Conv3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-12-01T10:45:31.7047492Z test_nn_Conv3d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7047806Z test_nn_ConvTranspose1d (__main__.TestJitGeneratedModule) ... ok (0.096s) 2022-12-01T10:45:31.7048125Z test_nn_ConvTranspose1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.096s) 2022-12-01T10:45:31.7048522Z test_nn_ConvTranspose1d_groups (__main__.TestJitGeneratedModule) ... ok (0.134s) 2022-12-01T10:45:31.7048832Z test_nn_ConvTranspose1d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.097s) 2022-12-01T10:45:31.7049151Z test_nn_ConvTranspose2d (__main__.TestJitGeneratedModule) ... ok (0.098s) 2022-12-01T10:45:31.7049472Z test_nn_ConvTranspose2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.098s) 2022-12-01T10:45:31.7049786Z test_nn_ConvTranspose2d_groups (__main__.TestJitGeneratedModule) ... ok (0.100s) 2022-12-01T10:45:31.7050105Z test_nn_ConvTranspose2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.098s) 2022-12-01T10:45:31.7050414Z test_nn_ConvTranspose3d (__main__.TestJitGeneratedModule) ... ok (0.099s) 2022-12-01T10:45:31.7050732Z test_nn_ConvTranspose3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.099s) 2022-12-01T10:45:31.7051039Z test_nn_CosineEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7051372Z test_nn_CosineEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7051725Z test_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7052073Z test_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7052426Z test_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7052823Z test_nn_CrossEntropyLoss (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7053143Z test_nn_CrossEntropyLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7053460Z test_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7053820Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7054211Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7054651Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7055035Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7055396Z test_nn_CrossEntropyLoss_2d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7055750Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7056116Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7056501Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7056871Z test_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7057215Z test_nn_CrossEntropyLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7057556Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7057939Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7058336Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7058744Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7059112Z test_nn_CrossEntropyLoss_3d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7059470Z test_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7059846Z test_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7060221Z test_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7060556Z test_nn_CrossEntropyLoss_4d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7060902Z test_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7061244Z test_nn_CrossEntropyLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7061561Z test_nn_CrossEntropyLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7061891Z test_nn_CrossEntropyLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7062205Z test_nn_CrossMapLRN2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7062491Z test_nn_ELU (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7062767Z test_nn_ELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7063067Z test_nn_ELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7063364Z test_nn_Embedding (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7063665Z test_nn_EmbeddingBag_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.062s) 2022-12-01T10:45:31.7064019Z test_nn_EmbeddingBag_max (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-12-01T10:45:31.7064340Z test_nn_EmbeddingBag_max_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7064662Z test_nn_EmbeddingBag_mean (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7064973Z test_nn_EmbeddingBag_mean_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-12-01T10:45:31.7065300Z test_nn_EmbeddingBag_sparse (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-12-01T10:45:31.7065612Z test_nn_EmbeddingBag_sum (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7065972Z test_nn_EmbeddingBag_sum_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7066302Z test_nn_Embedding_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-12-01T10:45:31.7066615Z test_nn_Embedding_sparse (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-12-01T10:45:31.7066906Z test_nn_Flatten (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7067193Z test_nn_Flatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7067484Z test_nn_Fold (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-12-01T10:45:31.7067771Z test_nn_Fold_int_input (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-12-01T10:45:31.7068066Z test_nn_Fold_no_batch_dim_input (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-12-01T10:45:31.7068387Z test_nn_Fold_no_batch_dim_int_input (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-12-01T10:45:31.7068716Z test_nn_FractionalMaxPool2d_ratio (__main__.TestJitGeneratedModule) ... ok (0.084s) 2022-12-01T10:45:31.7069072Z test_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-12-01T10:45:31.7069442Z test_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-12-01T10:45:31.7069827Z test_nn_FractionalMaxPool2d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.065s) 2022-12-01T10:45:31.7070179Z test_nn_FractionalMaxPool2d_size (__main__.TestJitGeneratedModule) ... ok (0.068s) 2022-12-01T10:45:31.7070514Z test_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-12-01T10:45:31.7070892Z test_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-12-01T10:45:31.7071253Z test_nn_FractionalMaxPool3d_asymsize (__main__.TestJitGeneratedModule) ... ok (0.087s) 2022-12-01T10:45:31.7071591Z test_nn_FractionalMaxPool3d_ratio (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-12-01T10:45:31.7071931Z test_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.083s) 2022-12-01T10:45:31.7072311Z test_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-12-01T10:45:31.7072693Z test_nn_FractionalMaxPool3d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-12-01T10:45:31.7073040Z test_nn_FractionalMaxPool3d_size (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-12-01T10:45:31.7073377Z test_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-12-01T10:45:31.7073755Z test_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.073s) 2022-12-01T10:45:31.7074083Z test_nn_GELU (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7074365Z test_nn_GELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7074667Z test_nn_GELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7074950Z test_nn_GLU (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-12-01T10:45:31.7075232Z test_nn_GLU_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-12-01T10:45:31.7075512Z test_nn_GLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-12-01T10:45:31.7075839Z test_nn_GRUCell (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-12-01T10:45:31.7076135Z test_nn_GroupNorm_1d_affine (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-12-01T10:45:31.7076437Z test_nn_GroupNorm_1d_affine_GN (__main__.TestJitGeneratedModule) ... ok (0.060s) 2022-12-01T10:45:31.7076761Z test_nn_GroupNorm_1d_affine_large_batch (__main__.TestJitGeneratedModule) ... ok (0.063s) 2022-12-01T10:45:31.7077088Z test_nn_GroupNorm_1d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.062s) 2022-12-01T10:45:31.7077402Z test_nn_GroupNorm_1d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.068s) 2022-12-01T10:45:31.7077727Z test_nn_GroupNorm_2d_affine (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-12-01T10:45:31.7078054Z test_nn_GroupNorm_2d_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-12-01T10:45:31.7078377Z test_nn_GroupNorm_2d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.060s) 2022-12-01T10:45:31.7078680Z test_nn_GroupNorm_2d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-12-01T10:45:31.7079012Z test_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-12-01T10:45:31.7079329Z test_nn_Hardshrink (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7079634Z test_nn_Hardshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7079945Z test_nn_Hardshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7080280Z test_nn_Hardsigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-12-01T10:45:31.7080666Z test_nn_Hardswish_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-12-01T10:45:31.7080998Z test_nn_Hardtanh (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7081287Z test_nn_Hardtanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7081598Z test_nn_Hardtanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7081910Z test_nn_HingeEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7082233Z test_nn_HingeEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7082566Z test_nn_HingeEmbeddingLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7082919Z test_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7083274Z test_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7083614Z test_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7083956Z test_nn_HingeEmbeddingLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7084299Z test_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7084617Z test_nn_HuberLoss (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7084899Z test_nn_HuberLoss_delta (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7085209Z test_nn_HuberLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.022s) 2022-12-01T10:45:31.7085530Z test_nn_HuberLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.023s) 2022-12-01T10:45:31.7085842Z test_nn_HuberLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.022s) 2022-12-01T10:45:31.7086157Z test_nn_InstanceNorm1d (__main__.TestJitGeneratedModule) ... ok (0.090s) 2022-12-01T10:45:31.7086474Z test_nn_InstanceNorm1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-12-01T10:45:31.7086807Z test_nn_InstanceNorm1d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.110s) 2022-12-01T10:45:31.7087306Z test_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.096s) 2022-12-01T10:45:31.7087639Z test_nn_InstanceNorm2d (__main__.TestJitGeneratedModule) ... ok (0.087s) 2022-12-01T10:45:31.7087958Z test_nn_InstanceNorm2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-12-01T10:45:31.7088292Z test_nn_InstanceNorm2d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.092s) 2022-12-01T10:45:31.7088695Z test_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.091s) 2022-12-01T10:45:31.7089026Z test_nn_InstanceNorm3d (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-12-01T10:45:31.7089394Z test_nn_InstanceNorm3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.087s) 2022-12-01T10:45:31.7089718Z test_nn_InstanceNorm3d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.091s) 2022-12-01T10:45:31.7090066Z test_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.092s) 2022-12-01T10:45:31.7090394Z test_nn_KLDivLoss (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-12-01T10:45:31.7090700Z test_nn_KLDivLoss_log_target (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7091011Z test_nn_KLDivLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7091338Z test_nn_KLDivLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7091661Z test_nn_KLDivLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7091965Z test_nn_KLDivLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7092294Z test_nn_KLDivLoss_no_reduce_log_target (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7092623Z test_nn_KLDivLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7092965Z test_nn_KLDivLoss_no_reduce_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7093279Z test_nn_KLDivLoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7093599Z test_nn_KLDivLoss_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7093930Z test_nn_KLDivLoss_with_log_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7094255Z test_nn_KLDivLoss_with_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7094562Z test_nn_L1Loss (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7094863Z test_nn_L1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7095179Z test_nn_L1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7095479Z test_nn_L1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7095785Z test_nn_L1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7096099Z test_nn_L1Loss_no_reduce_complex (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7096405Z test_nn_L1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7096710Z test_nn_L1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7097001Z test_nn_LPPool1d (__main__.TestJitGeneratedModule) ... ok (0.108s) 2022-12-01T10:45:31.7097304Z test_nn_LPPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.099s) 2022-12-01T10:45:31.7097599Z test_nn_LPPool1d_norm (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-12-01T10:45:31.7097891Z test_nn_LPPool2d (__main__.TestJitGeneratedModule) ... ok (0.122s) 2022-12-01T10:45:31.7098188Z test_nn_LPPool2d_norm (__main__.TestJitGeneratedModule) ... ok (0.132s) 2022-12-01T10:45:31.7098467Z test_nn_LSTMCell (__main__.TestJitGeneratedModule) ... ok (0.074s) 2022-12-01T10:45:31.7098777Z test_nn_LayerNorm_1d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7099159Z test_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-12-01T10:45:31.7099507Z test_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-12-01T10:45:31.7099833Z test_nn_LayerNorm_3d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-12-01T10:45:31.7100177Z test_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.146s) 2022-12-01T10:45:31.7100517Z test_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-12-01T10:45:31.7100850Z test_nn_LeakyReLU (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7101158Z test_nn_LeakyReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7101471Z test_nn_LeakyReLU_with_negval (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7101793Z test_nn_LeakyReLU_with_negval_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7102107Z test_nn_LeakyReLU_with_zero_negval (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7102408Z test_nn_Linear (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7102702Z test_nn_Linear_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7102990Z test_nn_Linear_no_bias (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7103296Z test_nn_LocalResponseNorm_1d (__main__.TestJitGeneratedModule) ... ok (0.155s) 2022-12-01T10:45:31.7103635Z test_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestJitGeneratedModule) ... ok (0.171s) 2022-12-01T10:45:31.7103984Z test_nn_LocalResponseNorm_3d_custom_params (__main__.TestJitGeneratedModule) ... ok (0.174s) 2022-12-01T10:45:31.7104291Z test_nn_LogSigmoid (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7104599Z test_nn_LogSigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7104911Z test_nn_LogSigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7105198Z test_nn_LogSoftmax (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-12-01T10:45:31.7105501Z test_nn_LogSoftmax_multiparam (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-12-01T10:45:31.7105826Z test_nn_LogSoftmax_multiparam_scalar (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7106153Z test_nn_LogSoftmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7106439Z test_nn_MSELoss (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7106741Z test_nn_MSELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7107058Z test_nn_MSELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7107361Z test_nn_MSELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7107670Z test_nn_MSELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7107983Z test_nn_MSELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7108287Z test_nn_MSELoss_prec (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7108570Z test_nn_MSELoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7108878Z test_nn_MarginRankingLoss (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7109197Z test_nn_MarginRankingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7109526Z test_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7109876Z test_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7110219Z test_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7110571Z test_nn_MaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-12-01T10:45:31.7110868Z test_nn_MaxPool1d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7111181Z test_nn_MaxPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-12-01T10:45:31.7111487Z test_nn_MaxPool2d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7111783Z test_nn_MaxPool2d_4d_input (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7112097Z test_nn_MaxPool2d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-12-01T10:45:31.7112433Z test_nn_MaxPool3d (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7112738Z test_nn_MaxPool3d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-12-01T10:45:31.7113038Z test_nn_MaxPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7113356Z test_nn_MaxPool3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7113655Z test_nn_Mish (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-12-01T10:45:31.7113931Z test_nn_Mish_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7114227Z test_nn_Mish_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7114534Z test_nn_MultiLabelMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7114874Z test_nn_MultiLabelMarginLoss_0d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7115205Z test_nn_MultiLabelMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-12-01T10:45:31.7115549Z test_nn_MultiLabelMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7115898Z test_nn_MultiLabelMarginLoss_index_neg (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7116236Z test_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7116595Z test_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-12-01T10:45:31.7116950Z test_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-12-01T10:45:31.7117302Z test_nn_MultiLabelMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7117635Z test_nn_MultiLabelSoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-12-01T10:45:31.7117993Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-12-01T10:45:31.7118373Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-12-01T10:45:31.7118746Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7119099Z test_nn_MultiLabelSoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7119461Z test_nn_MultiLabelSoftMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.075s) 2022-12-01T10:45:31.7119831Z test_nn_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.008s) 2022-12-01T10:45:31.7120164Z test_nn_MultiMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7120474Z test_nn_MultiMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7120794Z test_nn_MultiMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.008s) 2022-12-01T10:45:31.7121127Z test_nn_MultiMarginLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7121445Z test_nn_MultiMarginLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.008s) 2022-12-01T10:45:31.7121775Z test_nn_MultiMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.008s) 2022-12-01T10:45:31.7122127Z test_nn_MultiMarginLoss_p (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7122437Z test_nn_MultiMarginLoss_p_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.008s) 2022-12-01T10:45:31.7122768Z test_nn_MultiMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7123106Z test_nn_MultiMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7123510Z test_nn_MultiheadAttention (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:45:31.7123864Z test_nn_NLLLoss (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7124193Z test_nn_NLLLoss2d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7124521Z test_nn_NLLLoss2d_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7124856Z test_nn_NLLLoss2d_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7125165Z test_nn_NLLLossNd_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7125488Z test_nn_NLLLossNd_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7125822Z test_nn_NLLLossNd_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7126121Z test_nn_NLLLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7126427Z test_nn_NLLLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7126570Z test_nn_NLLLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7126713Z test_nn_NLLLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7126857Z test_nn_NLLLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7127125Z test_nn_NLLLoss_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7127266Z test_nn_NLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7127414Z test_nn_NLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7127565Z test_nn_NLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7127709Z test_nn_NLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7127866Z test_nn_NLLLoss_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7128018Z test_nn_NLLLoss_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7128190Z test_nn_NLLLoss_no_reduce_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7128418Z test_nn_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7128563Z test_nn_NLLLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7128710Z test_nn_NLLLoss_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7128870Z test_nn_NLLLoss_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7129004Z test_nn_PReLU_1d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7129152Z test_nn_PReLU_1d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7129286Z test_nn_PReLU_2d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7129434Z test_nn_PReLU_2d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7129568Z test_nn_PReLU_3d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7129714Z test_nn_PReLU_3d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7129845Z test_nn_PReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7130034Z test_nn_PReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7130185Z test_nn_Padding122112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7130335Z test_nn_Padding1221_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7130482Z test_nn_Padding12_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7130630Z test_nn_Padding2322_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7130778Z test_nn_Padding31_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7130999Z test_nn_Padding322112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7131133Z test_nn_Padding332122_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7131282Z test_nn_Padding3331_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7131429Z test_nn_Padding33_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7131579Z test_nn_PairwiseDistance (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7131743Z test_nn_PairwiseDistance_broadcast_lhs (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7131908Z test_nn_PairwiseDistance_broadcast_rhs (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7132070Z test_nn_PairwiseDistance_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7132242Z test_nn_PairwiseDistance_with_non_default_args (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7132371Z test_nn_PixelShuffle (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7132515Z test_nn_PixelUnshuffle (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7132668Z test_nn_PoissonNLLLoss_full_loss (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7132835Z test_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7133001Z test_nn_PoissonNLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7133164Z test_nn_PoissonNLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7133325Z test_nn_PoissonNLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7133481Z test_nn_PoissonNLLLoss_no_full_loss (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7133653Z test_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-12-01T10:45:31.7133794Z test_nn_PoissonNLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7133928Z test_nn_RNNCell (__main__.TestJitGeneratedModule) ... ok (0.066s) 2022-12-01T10:45:31.7134060Z test_nn_RReLU (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-12-01T10:45:31.7134204Z test_nn_RReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-12-01T10:45:31.7134347Z test_nn_RReLU_with_up_down (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-12-01T10:45:31.7134498Z test_nn_RReLU_with_up_down_scalar (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-12-01T10:45:31.7134627Z test_nn_ReLU (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7134754Z test_nn_ReLU6 (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-12-01T10:45:31.7134882Z test_nn_ReLU6_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7135017Z test_nn_ReLU6_scalar (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7135161Z test_nn_ReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7135297Z test_nn_ReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7135440Z test_nn_ReflectionPad1d (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7135623Z test_nn_ReflectionPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7135777Z test_nn_ReflectionPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7135920Z test_nn_ReflectionPad2d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7136062Z test_nn_ReflectionPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7136220Z test_nn_ReflectionPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7136364Z test_nn_ReflectionPad3d (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7136560Z test_nn_ReflectionPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7136721Z test_nn_ReflectionPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7136868Z test_nn_ReplicationPad1d (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7137021Z test_nn_ReplicationPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7137181Z test_nn_ReplicationPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7137315Z test_nn_ReplicationPad2d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7137473Z test_nn_ReplicationPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7137632Z test_nn_ReplicationPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7137779Z test_nn_ReplicationPad3d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7137936Z test_nn_ReplicationPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7138096Z test_nn_ReplicationPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7138222Z test_nn_SELU (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7138364Z test_nn_SELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7138488Z test_nn_SELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7138616Z test_nn_SiLU (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-12-01T10:45:31.7138757Z test_nn_SiLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7138890Z test_nn_SiLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7139022Z test_nn_Sigmoid (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7139169Z test_nn_Sigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7139310Z test_nn_Sigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-12-01T10:45:31.7139452Z test_nn_SmoothL1Loss (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7139580Z test_nn_SmoothL1Loss_beta (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7139736Z test_nn_SmoothL1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7139894Z test_nn_SmoothL1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7140048Z test_nn_SmoothL1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7140196Z test_nn_SmoothL1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7140349Z test_nn_SmoothL1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7140495Z test_nn_SmoothL1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-12-01T10:45:31.7140644Z test_nn_SmoothL1Loss_zero_beta (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7140772Z test_nn_SoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7140931Z test_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7141121Z test_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7141362Z test_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-12-01T10:45:31.7141516Z test_nn_SoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7141648Z test_nn_Softmax (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7141783Z test_nn_Softmax2d (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-12-01T10:45:31.7141932Z test_nn_Softmax2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7142064Z test_nn_Softmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7142236Z test_nn_Softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-12-01T10:45:31.7142368Z test_nn_Softmin (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-12-01T10:45:31.7142510Z test_nn_Softmin_multidim (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7142656Z test_nn_Softmin_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-12-01T10:45:31.7142795Z test_nn_Softmin_scalar (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-12-01T10:45:31.7142930Z test_nn_Softplus (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7143068Z test_nn_Softplus_beta (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7143206Z test_nn_Softplus_beta_threshold (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7143363Z test_nn_Softplus_beta_threshold_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7143511Z test_nn_Softplus_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-12-01T10:45:31.7143647Z test_nn_Softshrink (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7143788Z test_nn_Softshrink_lambda (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7143939Z test_nn_Softshrink_lambda_scalar (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7144090Z test_nn_Softshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7144222Z test_nn_Softsign (__main__.TestJitGeneratedModule) ... ok (0.082s) 2022-12-01T10:45:31.7144354Z test_nn_Softsign_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-12-01T10:45:31.7144495Z test_nn_Softsign_scalar (__main__.TestJitGeneratedModule) ... ok (0.066s) 2022-12-01T10:45:31.7144623Z test_nn_Tanh (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-12-01T10:45:31.7144764Z test_nn_Tanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7144900Z test_nn_Tanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-12-01T10:45:31.7145035Z test_nn_Tanhshrink (__main__.TestJitGeneratedModule) ... ok (0.120s) 2022-12-01T10:45:31.7145185Z test_nn_Tanhshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.065s) 2022-12-01T10:45:31.7145330Z test_nn_Tanhshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.063s) 2022-12-01T10:45:31.7145464Z test_nn_Threshold_large_value (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-12-01T10:45:31.7145611Z test_nn_Threshold_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-12-01T10:45:31.7145761Z test_nn_Threshold_threshold_value (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7145921Z test_nn_Threshold_threshold_value_scalar (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7146132Z test_nn_Transformer (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:45:31.7146315Z test_nn_TransformerDecoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (1.935s) 2022-12-01T10:45:31.7146489Z test_nn_TransformerDecoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.842s) 2022-12-01T10:45:31.7146659Z test_nn_TransformerEncoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (1.774s) 2022-12-01T10:45:31.7146858Z test_nn_TransformerEncoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.808s) 2022-12-01T10:45:31.7147004Z test_nn_Transformer_multilayer_coder (__main__.TestJitGeneratedModule) ... ok (5.491s) 2022-12-01T10:45:31.7147172Z test_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-12-01T10:45:31.7147339Z test_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7147503Z test_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-12-01T10:45:31.7147680Z test_nn_Unflatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-12-01T10:45:31.7147812Z test_nn_Unfold (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-12-01T10:45:31.7147953Z test_nn_Unfold_int_input (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-12-01T10:45:31.7148091Z test_nn_ZeroPad2d (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7148223Z test_nn_ZeroPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7148377Z test_nn_ZeroPad2d_negative_dims (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-12-01T10:45:31.7148527Z test_nn_ZeroPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-12-01T10:45:31.7148676Z test_nn_interpolate_bicubic_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7148835Z test_nn_interpolate_bicubic_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7148992Z test_nn_interpolate_bicubic_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7149164Z test_nn_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7149329Z test_nn_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7149520Z test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7149661Z test_nn_interpolate_bicubic_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7149835Z test_nn_interpolate_bicubic_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7149987Z test_nn_interpolate_bilinear_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7150148Z test_nn_interpolate_bilinear_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7150306Z test_nn_interpolate_bilinear_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7150480Z test_nn_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7150654Z test_nn_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7150851Z test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7151013Z test_nn_interpolate_bilinear_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7151177Z test_nn_interpolate_bilinear_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7151325Z test_nn_interpolate_linear_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7151490Z test_nn_interpolate_linear_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7151646Z test_nn_interpolate_linear_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7151799Z test_nn_interpolate_linear_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7151970Z test_nn_interpolate_linear_scale_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7152153Z test_nn_interpolate_linear_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7152304Z test_nn_interpolate_nearest_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7152449Z test_nn_interpolate_nearest_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7152596Z test_nn_interpolate_nearest_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7152761Z test_nn_interpolate_nearest_2d_launch_configs (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7152915Z test_nn_interpolate_nearest_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7153089Z test_nn_interpolate_nearest_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7153247Z test_nn_interpolate_nearest_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7153401Z test_nn_interpolate_nearest_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7153559Z test_nn_interpolate_nearest_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7153710Z test_nn_interpolate_nearest_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7153852Z test_nn_interpolate_nearest_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7154003Z test_nn_interpolate_nearest_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7154155Z test_nn_interpolate_nearest_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7154307Z test_nn_interpolate_trilinear_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7154468Z test_nn_interpolate_trilinear_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7154626Z test_nn_interpolate_trilinear_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7154843Z test_nn_interpolate_trilinear_scale_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7155037Z test_nn_interpolate_trilinear_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7155199Z test_nn_interpolate_trilinear_tuple_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7155370Z test_nn_log_softmax_dim0 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7155616Z test_nn_log_softmax_dim3 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7155802Z test_nn_log_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7155977Z test_nn_log_softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7156110Z test_nn_log_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7156295Z test_nn_log_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7156499Z test_nn_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7156680Z test_nn_softmax_functional_dim0 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7156855Z test_nn_softmax_functional_dim3 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7157038Z test_nn_softmax_functional_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7157274Z test_nn_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7157452Z test_nn_softmax_lastdim_dtype (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7157580Z test_nn_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7157755Z test_nn_softmax_spatial_dtype (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7157933Z test_nn_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-12-01T10:45:31.7158128Z test_checkscriptassertraisesregex (jit.test_jit_utils.TestJitUtils) ... ok (0.022s) 2022-12-01T10:45:31.7158420Z test_get_callable_argument_names_hybrid (jit.test_jit_utils.TestJitUtils) ... skip: POSITIONAL_ONLY arguments are not supported before 3.8 (0.000s) 2022-12-01T10:45:31.7158621Z test_get_callable_argument_names_keyword_only (jit.test_jit_utils.TestJitUtils) ... ok (0.009s) 2022-12-01T10:45:31.7158883Z test_get_callable_argument_names_positional_only (jit.test_jit_utils.TestJitUtils) ... skip: POSITIONAL_ONLY arguments are not supported before 3.8 (0.000s) 2022-12-01T10:45:31.7159111Z test_get_callable_argument_names_positional_or_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.008s) 2022-12-01T10:45:31.7159333Z test_get_callable_argument_names_var_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.008s) 2022-12-01T10:45:31.7159487Z test_get_callable_argument_names_var_positional (jit.test_jit_utils.TestJitUtils) ... ok (0.008s) 2022-12-01T10:45:31.7159667Z test_no_tracer_warn_context_manager (jit.test_jit_utils.TestJitUtils) ... ok (0.005s) 2022-12-01T10:45:31.7159836Z test_comprehension_iterable (jit.test_list_dict.TestList) ... ok (0.154s) 2022-12-01T10:45:31.7160017Z test_comprehension_out_type_not_in_type (jit.test_list_dict.TestList) ... ok (0.041s) 2022-12-01T10:45:31.7160187Z test_comprehensions_basic (jit.test_list_dict.TestList) ... ok (0.027s) 2022-12-01T10:45:31.7160357Z test_comprehensions_basic_float (jit.test_list_dict.TestList) ... ok (0.026s) 2022-12-01T10:45:31.7160563Z test_comprehensions_two_comps (jit.test_list_dict.TestList) ... ok (0.021s) 2022-12-01T10:45:31.7160744Z test_copy_list_immutable (jit.test_list_dict.TestList) ... ok (0.011s) 2022-12-01T10:45:31.7160864Z test_copy_list_mutable (jit.test_list_dict.TestList) ... ok (0.016s) 2022-12-01T10:45:31.7161312Z test_del (jit.test_list_dict.TestList) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 193 2022-12-01T10:45:31.7161408Z due to: 2022-12-01T10:45:31.7161528Z Traceback (most recent call last): 2022-12-01T10:45:31.7161723Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7162010Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7162323Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7162330Z 2022-12-01T10:45:31.7162429Z from user code: 2022-12-01T10:45:31.7162643Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 196, in 2022-12-01T10:45:31.7162738Z cu = torch.jit.CompilationUnit() 2022-12-01T10:45:31.7162744Z 2022-12-01T10:45:31.7162906Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7162998Z ========== 2022-12-01T10:45:31.7163099Z ok (0.021s) 2022-12-01T10:45:31.7163277Z test_dict_keyword_is_correctly_typed (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7163461Z test_dict_keyword_with_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.025s) 2022-12-01T10:45:31.7163689Z test_dict_keyword_with_dict_comprehension_and_kwargs (jit.test_list_dict.TestList) ... ok (0.025s) 2022-12-01T10:45:31.7163838Z test_dict_keyword_with_empty_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.022s) 2022-12-01T10:45:31.7164018Z test_dict_keyword_with_empty_iterable (jit.test_list_dict.TestList) ... ok (0.022s) 2022-12-01T10:45:31.7164230Z test_dict_keyword_with_internal_aggregate_function (jit.test_list_dict.TestList) ... ok (0.025s) 2022-12-01T10:45:31.7164399Z test_dict_keyword_with_iterable (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7164571Z test_dict_keyword_with_kwargs (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7164765Z test_dict_keyword_with_kwargs_using_container_values (jit.test_list_dict.TestList) ... ok (0.026s) 2022-12-01T10:45:31.7164971Z test_dict_keyword_with_mapping (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7165151Z test_dict_keyword_with_mapping_and_kwargs (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7165341Z test_dict_keyword_with_mismatched_annotations (jit.test_list_dict.TestList) ... ok (0.008s) 2022-12-01T10:45:31.7165473Z test_dict_keyword_with_nested_call (jit.test_list_dict.TestList) ... ok (0.025s) 2022-12-01T10:45:31.7165667Z test_dict_keyword_with_previously_declared_variable (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7165902Z test_dict_keyword_with_previously_declared_variable_and_kwargs (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7166097Z test_extend_list_immutable (jit.test_list_dict.TestList) ... ok (0.029s) 2022-12-01T10:45:31.7166257Z test_extend_list_mutable (jit.test_list_dict.TestList) ... ok (0.044s) 2022-12-01T10:45:31.7166402Z test_in_check (jit.test_list_dict.TestList) ... ok (0.034s) 2022-12-01T10:45:31.7166564Z test_list_bool_conversion (jit.test_list_dict.TestList) ... ok (0.039s) 2022-12-01T10:45:31.7166741Z test_list_count (jit.test_list_dict.TestList) ... ok (0.026s) 2022-12-01T10:45:31.7166864Z test_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7167147Z test_list_gather (jit.test_list_dict.TestList) ... ok (0.031s) 2022-12-01T10:45:31.7167305Z test_list_index (jit.test_list_dict.TestList) ... ok (0.026s) 2022-12-01T10:45:31.7167492Z test_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.027s) 2022-12-01T10:45:31.7167935Z test_list_keyword (jit.test_list_dict.TestList) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 231 2022-12-01T10:45:31.7168029Z due to: 2022-12-01T10:45:31.7168149Z Traceback (most recent call last): 2022-12-01T10:45:31.7168409Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7168653Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7168928Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7168935Z 2022-12-01T10:45:31.7169043Z from user code: 2022-12-01T10:45:31.7198235Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 232, in 2022-12-01T10:45:31.7198480Z FileCheck().check_count("aten::list", 2, exactly=True).run(torch.jit.script(foo3).graph) 2022-12-01T10:45:31.7198487Z 2022-12-01T10:45:31.7198624Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7198695Z ========== 2022-12-01T10:45:31.7198749Z ok (0.033s) 2022-12-01T10:45:31.7198874Z test_list_len (jit.test_list_dict.TestList) ... ok (0.026s) 2022-12-01T10:45:31.7198998Z test_list_literal (jit.test_list_dict.TestList) ... ok (0.041s) 2022-12-01T10:45:31.7199115Z test_list_none (jit.test_list_dict.TestList) ... ok (0.006s) 2022-12-01T10:45:31.7199237Z test_list_ops (jit.test_list_dict.TestList) ... ok (0.090s) 2022-12-01T10:45:31.7199356Z test_list_slice (jit.test_list_dict.TestList) ... ok (0.045s) 2022-12-01T10:45:31.7199782Z test_list_sort (jit.test_list_dict.TestList) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 527 2022-12-01T10:45:31.7199848Z due to: 2022-12-01T10:45:31.7199929Z Traceback (most recent call last): 2022-12-01T10:45:31.7200099Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7200176Z assert not kwargs 2022-12-01T10:45:31.7200247Z AssertionError 2022-12-01T10:45:31.7200252Z 2022-12-01T10:45:31.7200321Z from user code: 2022-12-01T10:45:31.7200491Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 533, in 2022-12-01T10:45:31.7200702Z code = template.format(list_create=li) 2022-12-01T10:45:31.7200707Z 2022-12-01T10:45:31.7200826Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7200889Z ========== 2022-12-01T10:45:31.7200951Z ok (0.124s) 2022-12-01T10:45:31.7201086Z test_list_unification_hint (jit.test_list_dict.TestList) ... ok (0.007s) 2022-12-01T10:45:31.7201197Z test_list_variance (jit.test_list_dict.TestList) 2022-12-01T10:45:31.7201327Z `List[T1]` is not a subtype of `List[T2]`, even if `T1` is a ... ok (0.032s) 2022-12-01T10:45:31.7201447Z test_min_bool_list (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7201567Z test_min_max_list (jit.test_list_dict.TestList) ... ok (0.107s) 2022-12-01T10:45:31.7201727Z test_min_max_single_list (jit.test_list_dict.TestList) ... ok (0.085s) 2022-12-01T10:45:31.7201864Z test_mutable_list_append (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7201997Z test_mutable_list_append_2 (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7202135Z test_mutable_list_append_if (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7202276Z test_mutable_list_append_if_else (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7202411Z test_mutable_list_append_loop (jit.test_list_dict.TestList) ... ok (0.031s) 2022-12-01T10:45:31.7202551Z test_mutable_list_append_loop_if (jit.test_list_dict.TestList) ... ok (0.032s) 2022-12-01T10:45:31.7202681Z test_mutable_list_clear (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7202806Z test_mutable_list_clear_empty (jit.test_list_dict.TestList) ... ok (0.026s) 2022-12-01T10:45:31.7202950Z test_mutable_list_function_inline (jit.test_list_dict.TestList) ... ok (0.029s) 2022-12-01T10:45:31.7203081Z test_mutable_list_insert (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7203228Z test_mutable_list_insert_neg_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7203370Z test_mutable_list_insert_negative (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7203520Z test_mutable_list_insert_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7203653Z test_mutable_list_nested_loop (jit.test_list_dict.TestList) ... ok (0.033s) 2022-12-01T10:45:31.7203778Z test_mutable_list_pop (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7203895Z test_mutable_list_pop2 (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7204025Z test_mutable_list_pop_at (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7204155Z test_mutable_list_pop_at2 (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7204301Z test_mutable_list_pop_at_negative (jit.test_list_dict.TestList) ... ok (0.023s) 2022-12-01T10:45:31.7204442Z test_mutable_list_pop_at_negative2 (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7204572Z test_mutable_list_pop_empty (jit.test_list_dict.TestList) ... ok (0.018s) 2022-12-01T10:45:31.7204704Z test_mutable_list_pop_slice (jit.test_list_dict.TestList) ... ok (0.025s) 2022-12-01T10:45:31.7204833Z test_mutable_list_remove (jit.test_list_dict.TestList) ... ok (0.027s) 2022-12-01T10:45:31.7204952Z test_mutable_list_remove2 (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7205094Z test_mutable_list_remove_not_existing (jit.test_list_dict.TestList) ... ok (0.019s) 2022-12-01T10:45:31.7205231Z test_mutable_list_remove_tensor (jit.test_list_dict.TestList) ... ok (0.043s) 2022-12-01T10:45:31.7205360Z test_mutable_list_reverse (jit.test_list_dict.TestList) ... ok (0.025s) 2022-12-01T10:45:31.7205499Z test_mutable_list_reverse_empty (jit.test_list_dict.TestList) ... ok (0.024s) 2022-12-01T10:45:31.7205639Z test_mutable_tensor_list_reverse (jit.test_list_dict.TestList) ... ok (0.042s) 2022-12-01T10:45:31.7205776Z test_no_element_type_annotation (jit.test_list_dict.TestList) ... ok (0.015s) 2022-12-01T10:45:31.7205896Z test_slice_index (jit.test_list_dict.TestList) ... ok (0.100s) 2022-12-01T10:45:31.7206043Z test_tensor_list_count (jit.test_list_dict.TestList) ... ok (0.040s) 2022-12-01T10:45:31.7206190Z test_tensor_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.039s) 2022-12-01T10:45:31.7206315Z test_tensor_list_index (jit.test_list_dict.TestList) ... ok (0.039s) 2022-12-01T10:45:31.7206456Z test_tensor_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.028s) 2022-12-01T10:45:31.7206558Z test_to_list (jit.test_list_dict.TestList) 2022-12-01T10:45:31.7206672Z Unit tests for Tensor.tolist() function. ... ok (1.861s) 2022-12-01T10:45:31.7206781Z test_to_list_gpu (jit.test_list_dict.TestList) 2022-12-01T10:45:31.7207315Z GPU tests for Tensor.tolist() function. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_list_gpu /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 1332 2022-12-01T10:45:31.7207371Z due to: 2022-12-01T10:45:31.7207462Z Traceback (most recent call last): 2022-12-01T10:45:31.7207625Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7207878Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7208142Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.7208148Z 2022-12-01T10:45:31.7208215Z from user code: 2022-12-01T10:45:31.7208442Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 1334, in test_to_list_gpu 2022-12-01T10:45:31.7208580Z if not torch.cuda.is_available() or torch.cuda.device_count() == 0: 2022-12-01T10:45:31.7208585Z 2022-12-01T10:45:31.7208706Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7208768Z ========== 2022-12-01T10:45:31.7208859Z skip: CUDA is not available (0.004s) 2022-12-01T10:45:31.7209364Z test_bump_numeric_counter (jit.test_logging.TestLogging) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleThatLogs /var/lib/jenkins/workspace/test/jit/test_logging.py line 20 2022-12-01T10:45:31.7209432Z due to: 2022-12-01T10:45:31.7209522Z Traceback (most recent call last): 2022-12-01T10:45:31.7209673Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7209754Z raise Unsupported(msg) 2022-12-01T10:45:31.7209863Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7209868Z 2022-12-01T10:45:31.7209933Z from user code: 2022-12-01T10:45:31.7210086Z File "/var/lib/jenkins/workspace/test/jit/test_logging.py", line 20, in ModuleThatLogs 2022-12-01T10:45:31.7210207Z class ModuleThatLogs(torch.jit.ScriptModule): 2022-12-01T10:45:31.7210212Z 2022-12-01T10:45:31.7210343Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7210405Z ========== 2022-12-01T10:45:31.7210468Z ok (0.012s) 2022-12-01T10:45:31.7210902Z test_counter_aggregation (jit.test_logging.TestLogging) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_logging.py line 106 2022-12-01T10:45:31.7210957Z due to: 2022-12-01T10:45:31.7211047Z Traceback (most recent call last): 2022-12-01T10:45:31.7211202Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7211450Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7211710Z AssertionError: torch.* op returned non-Tensor LockingLogger call_function 2022-12-01T10:45:31.7211716Z 2022-12-01T10:45:31.7211785Z from user code: 2022-12-01T10:45:31.7211970Z File "/var/lib/jenkins/workspace/test/jit/test_logging.py", line 107, in 2022-12-01T10:45:31.7212082Z logger = torch.jit._logging.LockingLogger() 2022-12-01T10:45:31.7212087Z 2022-12-01T10:45:31.7212205Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7212314Z ========== 2022-12-01T10:45:31.7212380Z ok (0.018s) 2022-12-01T10:45:31.7212778Z test_logging_levels_set (jit.test_logging.TestLogging) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_logging_levels_set /var/lib/jenkins/workspace/test/jit/test_logging.py line 117 2022-12-01T10:45:31.7212843Z due to: 2022-12-01T10:45:31.7212934Z Traceback (most recent call last): 2022-12-01T10:45:31.7213087Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7213334Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7213677Z AssertionError: torch.* op returned non-Tensor str call_function 2022-12-01T10:45:31.7213696Z 2022-12-01T10:45:31.7213753Z from user code: 2022-12-01T10:45:31.7213918Z File "/var/lib/jenkins/workspace/test/jit/test_logging.py", line 119, in test_logging_levels_set 2022-12-01T10:45:31.7214098Z self.assertEqual('foo', torch._C._jit_get_logging_option()) 2022-12-01T10:45:31.7214103Z 2022-12-01T10:45:31.7214233Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7214294Z ========== 2022-12-01T10:45:31.7214358Z ok (0.003s) 2022-12-01T10:45:31.7214744Z test_time_measurement_counter (jit.test_logging.TestLogging) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_logging.py line 63 2022-12-01T10:45:31.7214796Z due to: 2022-12-01T10:45:31.7214887Z Traceback (most recent call last): 2022-12-01T10:45:31.7215042Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7215290Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7215598Z AssertionError: torch.* op returned non-Tensor int call_function prim.TimePoint 2022-12-01T10:45:31.7215604Z 2022-12-01T10:45:31.7215676Z from user code: 2022-12-01T10:45:31.7215818Z File "/var/lib/jenkins/workspace/test/jit/test_logging.py", line 64, in forward 2022-12-01T10:45:31.7215924Z tp_start = torch.jit._logging.time_point() 2022-12-01T10:45:31.7215929Z 2022-12-01T10:45:31.7216046Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7216108Z ========== 2022-12-01T10:45:31.7216171Z ok (0.007s) 2022-12-01T10:45:31.7216586Z test_time_measurement_counter_script (jit.test_logging.TestLogging) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleThatTimes /var/lib/jenkins/workspace/test/jit/test_logging.py line 81 2022-12-01T10:45:31.7216649Z due to: 2022-12-01T10:45:31.7216742Z Traceback (most recent call last): 2022-12-01T10:45:31.7216890Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7216970Z raise Unsupported(msg) 2022-12-01T10:45:31.7217080Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7217088Z 2022-12-01T10:45:31.7217155Z from user code: 2022-12-01T10:45:31.7217308Z File "/var/lib/jenkins/workspace/test/jit/test_logging.py", line 81, in ModuleThatTimes 2022-12-01T10:45:31.7217432Z class ModuleThatTimes(torch.jit.ScriptModule): 2022-12-01T10:45:31.7217437Z 2022-12-01T10:45:31.7217563Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7217627Z ========== 2022-12-01T10:45:31.7217692Z ok (0.010s) 2022-12-01T10:45:31.7218124Z test_trace_numeric_counter (jit.test_logging.TestLogging) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_logging.py line 51 2022-12-01T10:45:31.7218177Z due to: 2022-12-01T10:45:31.7218268Z Traceback (most recent call last): 2022-12-01T10:45:31.7218422Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7218668Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7218975Z AssertionError: torch.* op returned non-Tensor LockingLogger call_function 2022-12-01T10:45:31.7218981Z 2022-12-01T10:45:31.7219048Z from user code: 2022-12-01T10:45:31.7219228Z File "/var/lib/jenkins/workspace/test/jit/test_logging.py", line 52, in 2022-12-01T10:45:31.7219342Z logger = torch.jit._logging.LockingLogger() 2022-12-01T10:45:31.7219347Z 2022-12-01T10:45:31.7219464Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7219526Z ========== 2022-12-01T10:45:31.7219590Z ok (0.016s) 2022-12-01T10:45:31.7220033Z test_always_alive_values (jit.test_freezing.TestMKLDNNReinplacing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT setUp /var/lib/jenkins/workspace/test/jit/test_freezing.py line 2484 2022-12-01T10:45:31.7220100Z due to: 2022-12-01T10:45:31.7220189Z Traceback (most recent call last): 2022-12-01T10:45:31.7220343Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7220590Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7220833Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:45:31.7220851Z 2022-12-01T10:45:31.7220907Z from user code: 2022-12-01T10:45:31.7221051Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 2485, in setUp 2022-12-01T10:45:31.7221162Z self.default_dtype = torch.get_default_dtype() 2022-12-01T10:45:31.7221167Z 2022-12-01T10:45:31.7221295Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7221358Z ========== 2022-12-01T10:45:31.7221644Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT checkResults /var/lib/jenkins/workspace/test/jit/test_freezing.py line 2502 2022-12-01T10:45:31.7221705Z due to: 2022-12-01T10:45:31.7221783Z Traceback (most recent call last): 2022-12-01T10:45:31.7222011Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7222194Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7222388Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7222393Z 2022-12-01T10:45:31.7222463Z from user code: 2022-12-01T10:45:31.7222611Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 2504, in checkResults 2022-12-01T10:45:31.7222714Z self.assertEqual(mod1(inp), mod2(inp)) 2022-12-01T10:45:31.7222719Z 2022-12-01T10:45:31.7222844Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7222894Z ========== 2022-12-01T10:45:31.7222961Z ok (0.099s) 2022-12-01T10:45:31.7223117Z test_merge_liveness (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.021s) 2022-12-01T10:45:31.7223554Z test_successful (jit.test_freezing.TestMKLDNNReinplacing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_freezing.py line 2510 2022-12-01T10:45:31.7223618Z due to: 2022-12-01T10:45:31.7223707Z Traceback (most recent call last): 2022-12-01T10:45:31.7223859Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7224105Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7224337Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7224355Z 2022-12-01T10:45:31.7224411Z from user code: 2022-12-01T10:45:31.7224585Z File "/var/lib/jenkins/workspace/test/jit/test_freezing.py", line 2511, in 2022-12-01T10:45:31.7224787Z FileCheck().check("mkldnn_convolution").check_next("prim::MKLDNNHardSwish_").check_next("aten::relu_").run(mod.graph) 2022-12-01T10:45:31.7224793Z 2022-12-01T10:45:31.7224921Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7225017Z ========== 2022-12-01T10:45:31.7225081Z ok (0.038s) 2022-12-01T10:45:31.7225246Z test_switch_inputs_to_inplace (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.019s) 2022-12-01T10:45:31.7225347Z test_broadcasting_list (jit.test_misc.TestMisc) 2022-12-01T10:45:31.7225476Z Test BroadcastingList and torch.nn._size_N_t alias ... ok (0.042s) 2022-12-01T10:45:31.7225850Z test_export_opnames_interface (jit.test_misc.TestMisc) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT OneTwoModule /var/lib/jenkins/workspace/test/jit/test_misc.py line 174 2022-12-01T10:45:31.7225913Z due to: 2022-12-01T10:45:31.7226008Z Traceback (most recent call last): 2022-12-01T10:45:31.7226183Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7226268Z raise Unsupported(msg) 2022-12-01T10:45:31.7226392Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7226398Z 2022-12-01T10:45:31.7226456Z from user code: 2022-12-01T10:45:31.7226601Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 174, in OneTwoModule 2022-12-01T10:45:31.7226678Z @torch.jit.interface 2022-12-01T10:45:31.7226684Z 2022-12-01T10:45:31.7226813Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7226873Z ========== 2022-12-01T10:45:31.7227144Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooMod /var/lib/jenkins/workspace/test/jit/test_misc.py line 185 2022-12-01T10:45:31.7227207Z due to: 2022-12-01T10:45:31.7227297Z Traceback (most recent call last): 2022-12-01T10:45:31.7227434Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7227516Z raise Unsupported(msg) 2022-12-01T10:45:31.7227635Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7227640Z 2022-12-01T10:45:31.7227708Z from user code: 2022-12-01T10:45:31.7227845Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 185, in FooMod 2022-12-01T10:45:31.7227929Z class FooMod(nn.Module): 2022-12-01T10:45:31.7227934Z 2022-12-01T10:45:31.7228063Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7228126Z ========== 2022-12-01T10:45:31.7228383Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BarMod /var/lib/jenkins/workspace/test/jit/test_misc.py line 195 2022-12-01T10:45:31.7228447Z due to: 2022-12-01T10:45:31.7228531Z Traceback (most recent call last): 2022-12-01T10:45:31.7228677Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7228758Z raise Unsupported(msg) 2022-12-01T10:45:31.7228879Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7228885Z 2022-12-01T10:45:31.7228956Z from user code: 2022-12-01T10:45:31.7229082Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 195, in BarMod 2022-12-01T10:45:31.7229164Z class BarMod(nn.Module): 2022-12-01T10:45:31.7229169Z 2022-12-01T10:45:31.7229298Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7229361Z ========== 2022-12-01T10:45:31.7229622Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M /var/lib/jenkins/workspace/test/jit/test_misc.py line 207 2022-12-01T10:45:31.7229685Z due to: 2022-12-01T10:45:31.7229774Z Traceback (most recent call last): 2022-12-01T10:45:31.7229924Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7229993Z raise Unsupported(msg) 2022-12-01T10:45:31.7230110Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7230115Z 2022-12-01T10:45:31.7230183Z from user code: 2022-12-01T10:45:31.7230318Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 207, in M 2022-12-01T10:45:31.7230391Z class M(nn.Module): 2022-12-01T10:45:31.7230396Z 2022-12-01T10:45:31.7230520Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7230581Z ========== 2022-12-01T10:45:31.7230633Z ok (0.028s) 2022-12-01T10:45:31.7230760Z test_future_isinstance (jit.test_misc.TestMisc) ... ok (0.008s) 2022-12-01T10:45:31.7230954Z test_hacked_twin (jit.test_misc.TestMisc) ... ok (0.046s) 2022-12-01T10:45:31.7231062Z test_if_returning_any (jit.test_misc.TestMisc) 2022-12-01T10:45:31.7231185Z Check that an if statement can return different ... ok (0.016s) 2022-12-01T10:45:31.7231535Z test_joined_str (jit.test_misc.TestMisc) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_joined_str /var/lib/jenkins/workspace/test/jit/test_misc.py line 26 2022-12-01T10:45:31.7231599Z due to: 2022-12-01T10:45:31.7231693Z Traceback (most recent call last): 2022-12-01T10:45:31.7231883Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:45:31.7231991Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.7232147Z RuntimeError: Only Tensors of floating point and complex dtype can require gradients 2022-12-01T10:45:31.7232152Z 2022-12-01T10:45:31.7232285Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7232292Z 2022-12-01T10:45:31.7232382Z Traceback (most recent call last): 2022-12-01T10:45:31.7232535Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7232629Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7232736Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7232741Z 2022-12-01T10:45:31.7232798Z from user code: 2022-12-01T10:45:31.7232946Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 36, in test_joined_str 2022-12-01T10:45:31.7233047Z x = torch.arange(4., requires_grad=True) 2022-12-01T10:45:31.7233053Z 2022-12-01T10:45:31.7233184Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7233245Z ========== 2022-12-01T10:45:31.7233310Z ok (0.024s) 2022-12-01T10:45:31.7233430Z test_kwarg_support (jit.test_misc.TestMisc) ... ok (0.018s) 2022-12-01T10:45:31.7233553Z test_legacy_tensor_constructor (jit.test_misc.TestMisc) ... ok (0.091s) 2022-12-01T10:45:31.7233678Z test_list_literal_infer (jit.test_misc.TestMisc) ... ok (0.027s) 2022-12-01T10:45:31.7233788Z test_math_inf (jit.test_misc.TestMisc) ... ok (0.025s) 2022-12-01T10:45:31.7234171Z test_parse_ir_annotate (jit.test_misc.TestMisc) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parse_ir_annotate /var/lib/jenkins/workspace/test/jit/test_misc.py line 330 2022-12-01T10:45:31.7234235Z due to: 2022-12-01T10:45:31.7234326Z Traceback (most recent call last): 2022-12-01T10:45:31.7234480Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7234734Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7235045Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7235050Z 2022-12-01T10:45:31.7235106Z from user code: 2022-12-01T10:45:31.7235265Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 336, in test_parse_ir_annotate 2022-12-01T10:45:31.7235362Z graph = torch._C.parse_ir(ir, True) 2022-12-01T10:45:31.7235367Z 2022-12-01T10:45:31.7235496Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7235559Z ========== 2022-12-01T10:45:31.7235624Z ok (0.003s) 2022-12-01T10:45:31.7236071Z test_parse_ir_single_element_tensor_negative (jit.test_misc.TestMisc) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parse_ir_single_element_tensor_negative /var/lib/jenkins/workspace/test/jit/test_misc.py line 353 2022-12-01T10:45:31.7236133Z due to: 2022-12-01T10:45:31.7236213Z Traceback (most recent call last): 2022-12-01T10:45:31.7236367Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7236612Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7236912Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7236948Z 2022-12-01T10:45:31.7237020Z from user code: 2022-12-01T10:45:31.7237196Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 359, in test_parse_ir_single_element_tensor_negative 2022-12-01T10:45:31.7237289Z graph = torch._C.parse_ir(ir, True) 2022-12-01T10:45:31.7237295Z 2022-12-01T10:45:31.7237421Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7237471Z ========== 2022-12-01T10:45:31.7237536Z ok (0.004s) 2022-12-01T10:45:31.7238008Z test_parse_ir_single_element_tensor_positive (jit.test_misc.TestMisc) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parse_ir_single_element_tensor_positive /var/lib/jenkins/workspace/test/jit/test_misc.py line 341 2022-12-01T10:45:31.7238074Z due to: 2022-12-01T10:45:31.7238163Z Traceback (most recent call last): 2022-12-01T10:45:31.7238316Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7238562Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7238859Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7238865Z 2022-12-01T10:45:31.7238932Z from user code: 2022-12-01T10:45:31.7239096Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 347, in test_parse_ir_single_element_tensor_positive 2022-12-01T10:45:31.7239187Z graph = torch._C.parse_ir(ir, True) 2022-12-01T10:45:31.7239192Z 2022-12-01T10:45:31.7239320Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7239381Z ========== 2022-12-01T10:45:31.7239443Z ok (0.003s) 2022-12-01T10:45:31.7239566Z test_str_refine_any (jit.test_misc.TestMisc) ... ok (0.028s) 2022-12-01T10:45:31.7239705Z test_subexpression_Dict_int_Future (jit.test_misc.TestMisc) ... ok (0.008s) 2022-12-01T10:45:31.7240150Z test_subexpression_Future_annotate (jit.test_misc.TestMisc) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_misc.py line 92 2022-12-01T10:45:31.7240201Z due to: 2022-12-01T10:45:31.7240291Z Traceback (most recent call last): 2022-12-01T10:45:31.7240443Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7240686Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7240930Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7240935Z 2022-12-01T10:45:31.7241007Z from user code: 2022-12-01T10:45:31.7241196Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 96, in 2022-12-01T10:45:31.7241304Z FileCheck().check("Future[int][]").run(fn.graph) 2022-12-01T10:45:31.7241311Z 2022-12-01T10:45:31.7241428Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7241488Z ========== 2022-12-01T10:45:31.7241552Z ok (0.009s) 2022-12-01T10:45:31.7241977Z test_subexpression_List_Future (jit.test_misc.TestMisc) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_misc.py line 85 2022-12-01T10:45:31.7242040Z due to: 2022-12-01T10:45:31.7242131Z Traceback (most recent call last): 2022-12-01T10:45:31.7242282Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7242528Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7242757Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7242763Z 2022-12-01T10:45:31.7242832Z from user code: 2022-12-01T10:45:31.7243047Z File "/var/lib/jenkins/workspace/test/jit/test_misc.py", line 88, in 2022-12-01T10:45:31.7243240Z FileCheck().check('Future[int]').check('Future[int]').run(fn.graph) 2022-12-01T10:45:31.7243245Z 2022-12-01T10:45:31.7243372Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7243431Z ========== 2022-12-01T10:45:31.7243495Z ok (0.009s) 2022-12-01T10:45:31.7243630Z test_subexpression_Optional (jit.test_misc.TestMisc) ... ok (0.009s) 2022-12-01T10:45:31.7243763Z test_subexpression_Tuple_int_int_Future (jit.test_misc.TestMisc) ... ok (0.008s) 2022-12-01T10:45:31.7243922Z test_tuple_subscripted_assign (jit.test_misc.TestMisc) ... ok (0.011s) 2022-12-01T10:45:31.7244105Z test_call_script_fn_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.021s) 2022-12-01T10:45:31.7244538Z test_call_script_module_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2221 2022-12-01T10:45:31.7244605Z due to: 2022-12-01T10:45:31.7244694Z Traceback (most recent call last): 2022-12-01T10:45:31.7244843Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7244926Z raise Unsupported(msg) 2022-12-01T10:45:31.7245036Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7245041Z 2022-12-01T10:45:31.7245109Z from user code: 2022-12-01T10:45:31.7245247Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2221, in ScriptMod 2022-12-01T10:45:31.7245358Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7245365Z 2022-12-01T10:45:31.7245494Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7245554Z ========== 2022-12-01T10:45:31.7245827Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2222 2022-12-01T10:45:31.7245892Z due to: 2022-12-01T10:45:31.7245970Z Traceback (most recent call last): 2022-12-01T10:45:31.7246138Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7246260Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7246421Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7246427Z 2022-12-01T10:45:31.7246493Z from user code: 2022-12-01T10:45:31.7246634Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2223, in __init__ 2022-12-01T10:45:31.7246726Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7246731Z 2022-12-01T10:45:31.7246861Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7246911Z ========== 2022-12-01T10:45:31.7247091Z ok (0.026s) 2022-12-01T10:45:31.7247576Z test_call_traced_fn_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2249 2022-12-01T10:45:31.7247642Z due to: 2022-12-01T10:45:31.7247733Z Traceback (most recent call last): 2022-12-01T10:45:31.7247882Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7248131Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7248438Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7248445Z 2022-12-01T10:45:31.7248504Z from user code: 2022-12-01T10:45:31.7248693Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2253, in 2022-12-01T10:45:31.7248855Z FileCheck().check("prim::CallFunction").check("aten::add").run(str(script_fn.graph)) 2022-12-01T10:45:31.7248861Z 2022-12-01T10:45:31.7249044Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7249103Z ========== 2022-12-01T10:45:31.7249166Z ok (0.023s) 2022-12-01T10:45:31.7249343Z test_call_traced_mod_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.019s) 2022-12-01T10:45:31.7249778Z test_call_tracing_fn_from_script_module (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2276 2022-12-01T10:45:31.7249843Z due to: 2022-12-01T10:45:31.7249922Z Traceback (most recent call last): 2022-12-01T10:45:31.7250069Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7250186Z raise Unsupported(msg) 2022-12-01T10:45:31.7250310Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7250315Z 2022-12-01T10:45:31.7250385Z from user code: 2022-12-01T10:45:31.7250529Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2276, in ScriptMod 2022-12-01T10:45:31.7250645Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7250651Z 2022-12-01T10:45:31.7250767Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7250830Z ========== 2022-12-01T10:45:31.7251103Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2277 2022-12-01T10:45:31.7251165Z due to: 2022-12-01T10:45:31.7251252Z Traceback (most recent call last): 2022-12-01T10:45:31.7251420Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7251547Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7251712Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7251718Z 2022-12-01T10:45:31.7251774Z from user code: 2022-12-01T10:45:31.7251914Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2278, in __init__ 2022-12-01T10:45:31.7252003Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7252009Z 2022-12-01T10:45:31.7252132Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7252192Z ========== 2022-12-01T10:45:31.7252256Z ok (0.024s) 2022-12-01T10:45:31.7252694Z test_call_tracing_mod_from_script_module (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2298 2022-12-01T10:45:31.7252756Z due to: 2022-12-01T10:45:31.7252834Z Traceback (most recent call last): 2022-12-01T10:45:31.7252984Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7253067Z raise Unsupported(msg) 2022-12-01T10:45:31.7253184Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7253189Z 2022-12-01T10:45:31.7253256Z from user code: 2022-12-01T10:45:31.7253400Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2298, in ScriptMod 2022-12-01T10:45:31.7253516Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7253521Z 2022-12-01T10:45:31.7253651Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7253701Z ========== 2022-12-01T10:45:31.7253973Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2299 2022-12-01T10:45:31.7254037Z due to: 2022-12-01T10:45:31.7254127Z Traceback (most recent call last): 2022-12-01T10:45:31.7254292Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7254414Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7254576Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7254582Z 2022-12-01T10:45:31.7254639Z from user code: 2022-12-01T10:45:31.7254781Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2300, in __init__ 2022-12-01T10:45:31.7254903Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7254908Z 2022-12-01T10:45:31.7255033Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7255097Z ========== 2022-12-01T10:45:31.7255162Z ok (0.021s) 2022-12-01T10:45:31.7255584Z test_script_inline_trace_multiple_args (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M2 /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2319 2022-12-01T10:45:31.7255648Z due to: 2022-12-01T10:45:31.7255726Z Traceback (most recent call last): 2022-12-01T10:45:31.7255878Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7255957Z raise Unsupported(msg) 2022-12-01T10:45:31.7256115Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7256120Z 2022-12-01T10:45:31.7256186Z from user code: 2022-12-01T10:45:31.7256322Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2319, in M2 2022-12-01T10:45:31.7256425Z class M2(torch.jit.ScriptModule): 2022-12-01T10:45:31.7256430Z 2022-12-01T10:45:31.7256559Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7256609Z ========== 2022-12-01T10:45:31.7256886Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2320 2022-12-01T10:45:31.7256948Z due to: 2022-12-01T10:45:31.7257038Z Traceback (most recent call last): 2022-12-01T10:45:31.7257203Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7257324Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7257489Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7257494Z 2022-12-01T10:45:31.7257562Z from user code: 2022-12-01T10:45:31.7257693Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2321, in __init__ 2022-12-01T10:45:31.7257772Z super(M2, self).__init__() 2022-12-01T10:45:31.7257778Z 2022-12-01T10:45:31.7257907Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7257967Z ========== 2022-12-01T10:45:31.7258030Z ok (0.019s) 2022-12-01T10:45:31.7258431Z test_trace_dict_mix_script (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT testB /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2333 2022-12-01T10:45:31.7258494Z due to: 2022-12-01T10:45:31.7258572Z Traceback (most recent call last): 2022-12-01T10:45:31.7258721Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7258802Z raise Unsupported(msg) 2022-12-01T10:45:31.7258926Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7258930Z 2022-12-01T10:45:31.7258996Z from user code: 2022-12-01T10:45:31.7259132Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2333, in testB 2022-12-01T10:45:31.7259222Z class testB(torch.nn.Module): 2022-12-01T10:45:31.7259229Z 2022-12-01T10:45:31.7259356Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7259405Z ========== 2022-12-01T10:45:31.7259677Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT testA /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2345 2022-12-01T10:45:31.7259742Z due to: 2022-12-01T10:45:31.7259831Z Traceback (most recent call last): 2022-12-01T10:45:31.7259978Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7260057Z raise Unsupported(msg) 2022-12-01T10:45:31.7260179Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7260184Z 2022-12-01T10:45:31.7260239Z from user code: 2022-12-01T10:45:31.7260380Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2345, in testA 2022-12-01T10:45:31.7260469Z class testA(torch.nn.Module): 2022-12-01T10:45:31.7260474Z 2022-12-01T10:45:31.7260601Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7260691Z ========== 2022-12-01T10:45:31.7260968Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2350 2022-12-01T10:45:31.7261028Z due to: 2022-12-01T10:45:31.7261117Z Traceback (most recent call last): 2022-12-01T10:45:31.7261331Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7261518Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7261712Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7261717Z 2022-12-01T10:45:31.7261785Z from user code: 2022-12-01T10:45:31.7261955Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2355, in forward 2022-12-01T10:45:31.7262041Z return self.b(feature_map) 2022-12-01T10:45:31.7262045Z 2022-12-01T10:45:31.7262173Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7262234Z ========== 2022-12-01T10:45:31.7262287Z ok (0.054s) 2022-12-01T10:45:31.7262709Z test_trace_hierarchy (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT AnotherScriptMod /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2114 2022-12-01T10:45:31.7262770Z due to: 2022-12-01T10:45:31.7262859Z Traceback (most recent call last): 2022-12-01T10:45:31.7263007Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7263088Z raise Unsupported(msg) 2022-12-01T10:45:31.7263209Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7263214Z 2022-12-01T10:45:31.7263282Z from user code: 2022-12-01T10:45:31.7263425Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2114, in AnotherScriptMod 2022-12-01T10:45:31.7263550Z class AnotherScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7263555Z 2022-12-01T10:45:31.7263682Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7263743Z ========== 2022-12-01T10:45:31.7264032Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SomeScriptMod /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2123 2022-12-01T10:45:31.7264096Z due to: 2022-12-01T10:45:31.7264185Z Traceback (most recent call last): 2022-12-01T10:45:31.7264321Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7264400Z raise Unsupported(msg) 2022-12-01T10:45:31.7264520Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7264525Z 2022-12-01T10:45:31.7264593Z from user code: 2022-12-01T10:45:31.7264738Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2123, in SomeScriptMod 2022-12-01T10:45:31.7264861Z class SomeScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7264865Z 2022-12-01T10:45:31.7264993Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7265054Z ========== 2022-12-01T10:45:31.7265318Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2124 2022-12-01T10:45:31.7265386Z due to: 2022-12-01T10:45:31.7265475Z Traceback (most recent call last): 2022-12-01T10:45:31.7265641Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7265773Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7266015Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7266021Z 2022-12-01T10:45:31.7266089Z from user code: 2022-12-01T10:45:31.7266229Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2125, in __init__ 2022-12-01T10:45:31.7266315Z super(SomeScriptMod, self).__init__() 2022-12-01T10:45:31.7266322Z 2022-12-01T10:45:31.7266448Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7266510Z ========== 2022-12-01T10:45:31.7266790Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2115 2022-12-01T10:45:31.7266894Z due to: 2022-12-01T10:45:31.7266986Z Traceback (most recent call last): 2022-12-01T10:45:31.7267152Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7267307Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7267467Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7267473Z 2022-12-01T10:45:31.7267531Z from user code: 2022-12-01T10:45:31.7267764Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2116, in __init__ 2022-12-01T10:45:31.7267875Z super(AnotherScriptMod, self).__init__() 2022-12-01T10:45:31.7267880Z 2022-12-01T10:45:31.7268039Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7268101Z ========== 2022-12-01T10:45:31.7268166Z ok (0.039s) 2022-12-01T10:45:31.7268607Z test_trace_linear (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2471 2022-12-01T10:45:31.7268675Z due to: 2022-12-01T10:45:31.7268753Z Traceback (most recent call last): 2022-12-01T10:45:31.7268907Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7269159Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7269401Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7269407Z 2022-12-01T10:45:31.7269474Z from user code: 2022-12-01T10:45:31.7269642Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2472, in 2022-12-01T10:45:31.7269749Z FileCheck().check("aten::linear").run(g) 2022-12-01T10:45:31.7269755Z 2022-12-01T10:45:31.7269882Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7269934Z ========== 2022-12-01T10:45:31.7269999Z ok (0.033s) 2022-12-01T10:45:31.7270184Z test_trace_mixed_by_script_with_dict_output (jit.test_tracer.TestMixTracingScripting) ... ok (0.027s) 2022-12-01T10:45:31.7270625Z test_trace_of_script (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2050 2022-12-01T10:45:31.7270690Z due to: 2022-12-01T10:45:31.7270781Z Traceback (most recent call last): 2022-12-01T10:45:31.7270941Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7271061Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7271350Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7271367Z 2022-12-01T10:45:31.7271424Z from user code: 2022-12-01T10:45:31.7271597Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2055, in 2022-12-01T10:45:31.7271715Z self.assertTrue("Dynamic" not in str(use.graph)) 2022-12-01T10:45:31.7271721Z 2022-12-01T10:45:31.7271848Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7271909Z ========== 2022-12-01T10:45:31.7271974Z ok (0.038s) 2022-12-01T10:45:31.7272367Z test_trace_parameter (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M3 /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2171 2022-12-01T10:45:31.7272418Z due to: 2022-12-01T10:45:31.7272509Z Traceback (most recent call last): 2022-12-01T10:45:31.7272659Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7272742Z raise Unsupported(msg) 2022-12-01T10:45:31.7272865Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7272870Z 2022-12-01T10:45:31.7272939Z from user code: 2022-12-01T10:45:31.7273109Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2171, in M3 2022-12-01T10:45:31.7273209Z class M3(torch.jit.ScriptModule): 2022-12-01T10:45:31.7273215Z 2022-12-01T10:45:31.7273330Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7273395Z ========== 2022-12-01T10:45:31.7273665Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M1 /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2188 2022-12-01T10:45:31.7273729Z due to: 2022-12-01T10:45:31.7273818Z Traceback (most recent call last): 2022-12-01T10:45:31.7273967Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7274047Z raise Unsupported(msg) 2022-12-01T10:45:31.7274200Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7274220Z 2022-12-01T10:45:31.7274276Z from user code: 2022-12-01T10:45:31.7274412Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2188, in M1 2022-12-01T10:45:31.7274512Z class M1(torch.jit.ScriptModule): 2022-12-01T10:45:31.7274517Z 2022-12-01T10:45:31.7274645Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7274707Z ========== 2022-12-01T10:45:31.7274981Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2189 2022-12-01T10:45:31.7275044Z due to: 2022-12-01T10:45:31.7275121Z Traceback (most recent call last): 2022-12-01T10:45:31.7275289Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7275413Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7275576Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7275582Z 2022-12-01T10:45:31.7275651Z from user code: 2022-12-01T10:45:31.7275792Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2190, in __init__ 2022-12-01T10:45:31.7275871Z super(M1, self).__init__() 2022-12-01T10:45:31.7275879Z 2022-12-01T10:45:31.7276007Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7276056Z ========== 2022-12-01T10:45:31.7276331Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2172 2022-12-01T10:45:31.7276395Z due to: 2022-12-01T10:45:31.7276483Z Traceback (most recent call last): 2022-12-01T10:45:31.7276648Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7276773Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7276934Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7276942Z 2022-12-01T10:45:31.7277012Z from user code: 2022-12-01T10:45:31.7277142Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2173, in __init__ 2022-12-01T10:45:31.7277223Z super(M3, self).__init__() 2022-12-01T10:45:31.7277227Z 2022-12-01T10:45:31.7277359Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7277419Z ========== 2022-12-01T10:45:31.7277482Z ok (0.038s) 2022-12-01T10:45:31.7277655Z test_trace_returning_dict_with_tensor_tuples (jit.test_tracer.TestMixTracingScripting) 2022-12-01T10:45:31.7278065Z Tracing over a module returning a dictionary whose values are tuples of tensors ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ReturnsDict /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2428 2022-12-01T10:45:31.7278128Z due to: 2022-12-01T10:45:31.7278207Z Traceback (most recent call last): 2022-12-01T10:45:31.7278356Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7278439Z raise Unsupported(msg) 2022-12-01T10:45:31.7278563Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7278568Z 2022-12-01T10:45:31.7278637Z from user code: 2022-12-01T10:45:31.7278781Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2428, in ReturnsDict 2022-12-01T10:45:31.7278912Z class ReturnsDict(torch.nn.Module): 2022-12-01T10:45:31.7278918Z 2022-12-01T10:45:31.7279047Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7279099Z ========== 2022-12-01T10:45:31.7279390Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ReturnsBadDict /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2442 2022-12-01T10:45:31.7279454Z due to: 2022-12-01T10:45:31.7279544Z Traceback (most recent call last): 2022-12-01T10:45:31.7279687Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7279768Z raise Unsupported(msg) 2022-12-01T10:45:31.7279921Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7279927Z 2022-12-01T10:45:31.7279984Z from user code: 2022-12-01T10:45:31.7280134Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2442, in ReturnsBadDict 2022-12-01T10:45:31.7280240Z class ReturnsBadDict(torch.nn.Module): 2022-12-01T10:45:31.7280247Z 2022-12-01T10:45:31.7280376Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7280437Z ========== 2022-12-01T10:45:31.7280503Z ok (0.020s) 2022-12-01T10:45:31.7280936Z test_trace_script (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2020 2022-12-01T10:45:31.7280999Z due to: 2022-12-01T10:45:31.7281076Z Traceback (most recent call last): 2022-12-01T10:45:31.7281242Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7281370Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7281535Z NotImplementedError: UserDefinedObjectVariable(_GenericAlias) is not a constant 2022-12-01T10:45:31.7281540Z 2022-12-01T10:45:31.7281605Z from user code: 2022-12-01T10:45:31.7281772Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2020, in 2022-12-01T10:45:31.7281943Z def func4(x: Tensor, a: List[Optional[str]]) -> Tensor: 2022-12-01T10:45:31.7281948Z 2022-12-01T10:45:31.7282075Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7282124Z ========== 2022-12-01T10:45:31.7282188Z ok (0.229s) 2022-12-01T10:45:31.7282359Z test_trace_script_returning_complex_dict (jit.test_tracer.TestMixTracingScripting) 2022-12-01T10:45:31.7282748Z Tracing over a script function returning a dictionary should work. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ReturnsDict /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2367 2022-12-01T10:45:31.7282812Z due to: 2022-12-01T10:45:31.7282905Z Traceback (most recent call last): 2022-12-01T10:45:31.7283049Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7283130Z raise Unsupported(msg) 2022-12-01T10:45:31.7283241Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7283248Z 2022-12-01T10:45:31.7283316Z from user code: 2022-12-01T10:45:31.7283463Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2367, in ReturnsDict 2022-12-01T10:45:31.7283561Z class ReturnsDict(torch.nn.Module): 2022-12-01T10:45:31.7283566Z 2022-12-01T10:45:31.7283697Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7283757Z ========== 2022-12-01T10:45:31.7284039Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ChecksDict /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2383 2022-12-01T10:45:31.7284090Z due to: 2022-12-01T10:45:31.7284179Z Traceback (most recent call last): 2022-12-01T10:45:31.7284329Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7284412Z raise Unsupported(msg) 2022-12-01T10:45:31.7284534Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7284539Z 2022-12-01T10:45:31.7284604Z from user code: 2022-12-01T10:45:31.7284751Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2383, in ChecksDict 2022-12-01T10:45:31.7284878Z class ChecksDict(torch.nn.Module): 2022-12-01T10:45:31.7284883Z 2022-12-01T10:45:31.7285000Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7285064Z ========== 2022-12-01T10:45:31.7285344Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2391 2022-12-01T10:45:31.7285408Z due to: 2022-12-01T10:45:31.7285497Z Traceback (most recent call last): 2022-12-01T10:45:31.7285643Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7285723Z raise Unsupported(msg) 2022-12-01T10:45:31.7285862Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7285880Z 2022-12-01T10:45:31.7285937Z from user code: 2022-12-01T10:45:31.7286081Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2391, in TestModule 2022-12-01T10:45:31.7286178Z class TestModule(torch.nn.Module): 2022-12-01T10:45:31.7286185Z 2022-12-01T10:45:31.7286312Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7286373Z ========== 2022-12-01T10:45:31.7286652Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2397 2022-12-01T10:45:31.7286714Z due to: 2022-12-01T10:45:31.7286791Z Traceback (most recent call last): 2022-12-01T10:45:31.7287161Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7287351Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7287549Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7287554Z 2022-12-01T10:45:31.7287621Z from user code: 2022-12-01T10:45:31.7287762Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2398, in forward 2022-12-01T10:45:31.7287850Z foo = self.returns_dict(input) 2022-12-01T10:45:31.7287857Z 2022-12-01T10:45:31.7287984Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7288034Z ========== 2022-12-01T10:45:31.7288102Z ok (0.038s) 2022-12-01T10:45:31.7288262Z test_trace_with_size (jit.test_tracer.TestMixTracingScripting) ... ok (0.037s) 2022-12-01T10:45:31.7288803Z test_traced_module_contains_scripted_interface_types (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT LeafModule /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2499 2022-12-01T10:45:31.7288869Z due to: 2022-12-01T10:45:31.7288958Z Traceback (most recent call last): 2022-12-01T10:45:31.7289106Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7289187Z raise Unsupported(msg) 2022-12-01T10:45:31.7289295Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7289300Z 2022-12-01T10:45:31.7289368Z from user code: 2022-12-01T10:45:31.7289514Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2499, in LeafModule 2022-12-01T10:45:31.7289611Z class LeafModule(torch.nn.Module): 2022-12-01T10:45:31.7289616Z 2022-12-01T10:45:31.7289745Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7289806Z ========== 2022-12-01T10:45:31.7290098Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LowerModuleImpl /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2507 2022-12-01T10:45:31.7290161Z due to: 2022-12-01T10:45:31.7290239Z Traceback (most recent call last): 2022-12-01T10:45:31.7290388Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7290471Z raise Unsupported(msg) 2022-12-01T10:45:31.7290592Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7290597Z 2022-12-01T10:45:31.7290665Z from user code: 2022-12-01T10:45:31.7290817Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2507, in LowerModuleImpl 2022-12-01T10:45:31.7290925Z class LowerModuleImpl(torch.nn.Module): 2022-12-01T10:45:31.7290987Z 2022-12-01T10:45:31.7291104Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7291166Z ========== 2022-12-01T10:45:31.7291470Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LowerModuleInterface /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2515 2022-12-01T10:45:31.7291534Z due to: 2022-12-01T10:45:31.7291626Z Traceback (most recent call last): 2022-12-01T10:45:31.7291773Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7291855Z raise Unsupported(msg) 2022-12-01T10:45:31.7291976Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7291980Z 2022-12-01T10:45:31.7292073Z from user code: 2022-12-01T10:45:31.7292240Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2515, in LowerModuleInterface 2022-12-01T10:45:31.7292321Z @torch.jit.interface 2022-12-01T10:45:31.7292326Z 2022-12-01T10:45:31.7292455Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7292519Z ========== 2022-12-01T10:45:31.7292798Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TopModule /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2538 2022-12-01T10:45:31.7292862Z due to: 2022-12-01T10:45:31.7292939Z Traceback (most recent call last): 2022-12-01T10:45:31.7293089Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7293170Z raise Unsupported(msg) 2022-12-01T10:45:31.7293291Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7293296Z 2022-12-01T10:45:31.7293364Z from user code: 2022-12-01T10:45:31.7293510Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2538, in TopModule 2022-12-01T10:45:31.7293607Z class TopModule(torch.nn.Module): 2022-12-01T10:45:31.7293612Z 2022-12-01T10:45:31.7293739Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7293787Z ========== 2022-12-01T10:45:31.7293855Z ok (0.047s) 2022-12-01T10:45:31.7294311Z test_traced_module_implements_interface (jit.test_tracer.TestMixTracingScripting) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModuleInterface /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2475 2022-12-01T10:45:31.7294376Z due to: 2022-12-01T10:45:31.7294467Z Traceback (most recent call last): 2022-12-01T10:45:31.7294617Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7294697Z raise Unsupported(msg) 2022-12-01T10:45:31.7294818Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7294822Z 2022-12-01T10:45:31.7294879Z from user code: 2022-12-01T10:45:31.7295041Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2475, in TestModuleInterface 2022-12-01T10:45:31.7295120Z @torch.jit.interface 2022-12-01T10:45:31.7295125Z 2022-12-01T10:45:31.7295254Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7295313Z ========== 2022-12-01T10:45:31.7295598Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_tracer.py line 2482 2022-12-01T10:45:31.7295661Z due to: 2022-12-01T10:45:31.7295750Z Traceback (most recent call last): 2022-12-01T10:45:31.7295886Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7295964Z raise Unsupported(msg) 2022-12-01T10:45:31.7296081Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7296086Z 2022-12-01T10:45:31.7296154Z from user code: 2022-12-01T10:45:31.7296299Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 2482, in TestModule 2022-12-01T10:45:31.7296390Z class TestModule(nn.Module): 2022-12-01T10:45:31.7296395Z 2022-12-01T10:45:31.7296524Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7296573Z ========== 2022-12-01T10:45:31.7296638Z ok (0.036s) 2022-12-01T10:45:31.7296800Z test_tracing_indexing (jit.test_tracer.TestMixTracingScripting) ... ok (0.090s) 2022-12-01T10:45:31.7296991Z test_tracing_slicing (jit.test_tracer.TestMixTracingScripting) ... ok (0.091s) 2022-12-01T10:45:31.7297378Z test_alexnet (jit.test_models.TestModels) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_models.py line 703 2022-12-01T10:45:31.7297442Z due to: 2022-12-01T10:45:31.7297530Z Traceback (most recent call last): 2022-12-01T10:45:31.7297687Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7297924Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7298253Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.7298259Z 2022-12-01T10:45:31.7298331Z from user code: 2022-12-01T10:45:31.7298499Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 704, in 2022-12-01T10:45:31.7298609Z with torch.random.fork_rng(devices=[]): 2022-12-01T10:45:31.7298614Z 2022-12-01T10:45:31.7298743Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7298802Z ========== 2022-12-01T10:45:31.7298865Z ok (0.810s) 2022-12-01T10:45:31.7299531Z test_dcgan_models (jit.test_models.TestModels) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79142 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:45:31.7299670Z test_dcgan_models_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.7299787Z test_mnist (jit.test_models.TestModels) ... ok (0.440s) 2022-12-01T10:45:31.7299923Z test_mnist_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.7300089Z test_mnist_training_leaks_no_memory_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.001s) 2022-12-01T10:45:31.7300281Z test_neural_style (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:45:31.7300423Z test_neural_style_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.7300561Z test_reinforcement_learning (jit.test_models.TestModels) ... ok (0.088s) 2022-12-01T10:45:31.7300717Z test_reinforcement_learning_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.7300928Z test_script_module_script_resnet (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.005s) 2022-12-01T10:45:31.7301128Z test_script_module_trace_resnet18 (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:45:31.7301310Z test_snli (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:45:31.7301445Z test_snli_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.7301809Z test_snli_quantized (jit.test_models.TestModels) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_models.py line 358 2022-12-01T10:45:31.7301873Z due to: 2022-12-01T10:45:31.7301963Z Traceback (most recent call last): 2022-12-01T10:45:31.7302191Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7302373Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7302557Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7302576Z 2022-12-01T10:45:31.7302633Z from user code: 2022-12-01T10:45:31.7302773Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 365, in forward 2022-12-01T10:45:31.7302891Z prem_embed = self.relu(self.projection(prem_embed)) 2022-12-01T10:45:31.7302927Z 2022-12-01T10:45:31.7303055Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7303115Z ========== 2022-12-01T10:45:31.7303179Z ok (1.391s) 2022-12-01T10:45:31.7303379Z test_super_resolution (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:45:31.7303516Z test_super_resolution_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.7303899Z test_time_sequence_prediction (jit.test_models.TestModels) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Sequence /var/lib/jenkins/workspace/test/jit/test_models.py line 450 2022-12-01T10:45:31.7303991Z due to: 2022-12-01T10:45:31.7304083Z Traceback (most recent call last): 2022-12-01T10:45:31.7304232Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7304313Z raise Unsupported(msg) 2022-12-01T10:45:31.7304437Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7304441Z 2022-12-01T10:45:31.7304511Z from user code: 2022-12-01T10:45:31.7304641Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 450, in Sequence 2022-12-01T10:45:31.7304752Z class Sequence(torch.jit.ScriptModule): 2022-12-01T10:45:31.7304757Z 2022-12-01T10:45:31.7304888Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7304948Z ========== 2022-12-01T10:45:31.7305225Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_models.py line 451 2022-12-01T10:45:31.7305290Z due to: 2022-12-01T10:45:31.7305381Z Traceback (most recent call last): 2022-12-01T10:45:31.7305551Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7305664Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7305824Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7305831Z 2022-12-01T10:45:31.7305899Z from user code: 2022-12-01T10:45:31.7306039Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 452, in __init__ 2022-12-01T10:45:31.7306129Z super(Sequence, self).__init__() 2022-12-01T10:45:31.7306134Z 2022-12-01T10:45:31.7306259Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7306317Z ========== 2022-12-01T10:45:31.7306593Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_models.py line 490 2022-12-01T10:45:31.7306645Z due to: 2022-12-01T10:45:31.7306735Z Traceback (most recent call last): 2022-12-01T10:45:31.7306904Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.7307022Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.7307210Z AttributeError: '_CachedForward' object has no attribute '__code__' 2022-12-01T10:45:31.7307217Z 2022-12-01T10:45:31.7307285Z from user code: 2022-12-01T10:45:31.7307427Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 491, in forward 2022-12-01T10:45:31.7307508Z return self.seq.forward(input) 2022-12-01T10:45:31.7307525Z 2022-12-01T10:45:31.7307642Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7307700Z ========== 2022-12-01T10:45:31.7307765Z ok (0.122s) 2022-12-01T10:45:31.7307878Z test_vae (jit.test_models.TestModels) ... ok (0.226s) 2022-12-01T10:45:31.7308012Z test_vae_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.7308377Z test_vae_quantized (jit.test_models.TestModels) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_models.py line 527 2022-12-01T10:45:31.7308438Z due to: 2022-12-01T10:45:31.7308515Z Traceback (most recent call last): 2022-12-01T10:45:31.7308742Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7308959Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7309150Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7309156Z 2022-12-01T10:45:31.7309222Z from user code: 2022-12-01T10:45:31.7309360Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 528, in forward 2022-12-01T10:45:31.7309501Z mu, logvar = self.encode(x.view(-1, 784)) 2022-12-01T10:45:31.7309506Z 2022-12-01T10:45:31.7309634Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7309683Z ========== 2022-12-01T10:45:31.7309987Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT encode /var/lib/jenkins/workspace/test/jit/test_models.py line 511 2022-12-01T10:45:31.7310054Z due to: 2022-12-01T10:45:31.7310146Z Traceback (most recent call last): 2022-12-01T10:45:31.7310367Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7310551Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7310745Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7310750Z 2022-12-01T10:45:31.7310818Z from user code: 2022-12-01T10:45:31.7310946Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 512, in encode 2022-12-01T10:45:31.7311026Z h1 = F.relu(self.fc1(x)) 2022-12-01T10:45:31.7311031Z 2022-12-01T10:45:31.7311159Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7311220Z ========== 2022-12-01T10:45:31.7311493Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT decode /var/lib/jenkins/workspace/test/jit/test_models.py line 523 2022-12-01T10:45:31.7311557Z due to: 2022-12-01T10:45:31.7311647Z Traceback (most recent call last): 2022-12-01T10:45:31.7311858Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7312043Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7312238Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7312243Z 2022-12-01T10:45:31.7312310Z from user code: 2022-12-01T10:45:31.7312451Z File "/var/lib/jenkins/workspace/test/jit/test_models.py", line 524, in decode 2022-12-01T10:45:31.7312530Z h3 = F.relu(self.fc3(z)) 2022-12-01T10:45:31.7312535Z 2022-12-01T10:45:31.7312662Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7312722Z ========== 2022-12-01T10:45:31.7312774Z ok (0.109s) 2022-12-01T10:45:31.7312923Z test_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-12-01T10:45:31.7313325Z Tests that customized state dict methods are in effect ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT CustomStateDictModule /var/lib/jenkins/workspace/test/jit/test_module_apis.py line 41 2022-12-01T10:45:31.7313388Z due to: 2022-12-01T10:45:31.7313478Z Traceback (most recent call last): 2022-12-01T10:45:31.7313627Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7313711Z raise Unsupported(msg) 2022-12-01T10:45:31.7313835Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7313841Z 2022-12-01T10:45:31.7313896Z from user code: 2022-12-01T10:45:31.7314066Z File "/var/lib/jenkins/workspace/test/jit/test_module_apis.py", line 41, in CustomStateDictModule 2022-12-01T10:45:31.7314186Z class CustomStateDictModule(torch.nn.Module): 2022-12-01T10:45:31.7314192Z 2022-12-01T10:45:31.7314322Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7314383Z ========== 2022-12-01T10:45:31.7314447Z ok (0.038s) 2022-12-01T10:45:31.7314591Z test_default_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-12-01T10:45:31.7314741Z Tests that default state dict methods are automatically available ... ok (0.030s) 2022-12-01T10:45:31.7314886Z test_submodule_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-12-01T10:45:31.7315343Z Tests that customized state dict methods on submodules are in effect ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT CustomStateDictModule /var/lib/jenkins/workspace/test/jit/test_module_apis.py line 83 2022-12-01T10:45:31.7315408Z due to: 2022-12-01T10:45:31.7315499Z Traceback (most recent call last): 2022-12-01T10:45:31.7315645Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7315727Z raise Unsupported(msg) 2022-12-01T10:45:31.7315849Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7315855Z 2022-12-01T10:45:31.7315923Z from user code: 2022-12-01T10:45:31.7316126Z File "/var/lib/jenkins/workspace/test/jit/test_module_apis.py", line 83, in CustomStateDictModule 2022-12-01T10:45:31.7316246Z class CustomStateDictModule(torch.nn.Module): 2022-12-01T10:45:31.7316251Z 2022-12-01T10:45:31.7316380Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7316440Z ========== 2022-12-01T10:45:31.7316508Z ok (0.048s) 2022-12-01T10:45:31.7316688Z test_custom_container_forward (jit.test_module_containers.TestModuleContainers) ... ok (0.128s) 2022-12-01T10:45:31.7317137Z test_empty_dict_override_contains (jit.test_module_containers.TestModuleContainers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 423 2022-12-01T10:45:31.7317202Z due to: 2022-12-01T10:45:31.7317280Z Traceback (most recent call last): 2022-12-01T10:45:31.7317447Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.7317550Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.7317752Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.7317757Z 2022-12-01T10:45:31.7317827Z from user code: 2022-12-01T10:45:31.7317982Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 424, in __init__ 2022-12-01T10:45:31.7318088Z CustomModuleInterface.__init__(self) 2022-12-01T10:45:31.7318093Z 2022-12-01T10:45:31.7318220Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7318270Z ========== 2022-12-01T10:45:31.7318336Z ok (0.031s) 2022-12-01T10:45:31.7318767Z test_module_inplace_construct (jit.test_module_containers.TestModuleContainers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 621 2022-12-01T10:45:31.7318830Z due to: 2022-12-01T10:45:31.7318921Z Traceback (most recent call last): 2022-12-01T10:45:31.7319070Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7319153Z raise Unsupported(msg) 2022-12-01T10:45:31.7319263Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7319281Z 2022-12-01T10:45:31.7319337Z from user code: 2022-12-01T10:45:31.7319486Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 621, in M 2022-12-01T10:45:31.7319564Z class M(nn.Module): 2022-12-01T10:45:31.7319570Z 2022-12-01T10:45:31.7319698Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7319759Z ========== 2022-12-01T10:45:31.7320046Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT N /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 639 2022-12-01T10:45:31.7320113Z due to: 2022-12-01T10:45:31.7320190Z Traceback (most recent call last): 2022-12-01T10:45:31.7320339Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7320422Z raise Unsupported(msg) 2022-12-01T10:45:31.7320544Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7320551Z 2022-12-01T10:45:31.7320619Z from user code: 2022-12-01T10:45:31.7320768Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 639, in N 2022-12-01T10:45:31.7320843Z class N(nn.Module): 2022-12-01T10:45:31.7320849Z 2022-12-01T10:45:31.7321013Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7321063Z ========== 2022-12-01T10:45:31.7321126Z ok (0.028s) 2022-12-01T10:45:31.7321583Z test_module_interface_special_methods (jit.test_module_containers.TestModuleContainers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 262 2022-12-01T10:45:31.7321644Z due to: 2022-12-01T10:45:31.7321733Z Traceback (most recent call last): 2022-12-01T10:45:31.7321904Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.7322008Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.7322257Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.7322277Z 2022-12-01T10:45:31.7322334Z from user code: 2022-12-01T10:45:31.7322491Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 263, in __init__ 2022-12-01T10:45:31.7322595Z CustomModuleInterface.__init__(self) 2022-12-01T10:45:31.7322600Z 2022-12-01T10:45:31.7322727Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7322788Z ========== 2022-12-01T10:45:31.7323082Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 267 2022-12-01T10:45:31.7323145Z due to: 2022-12-01T10:45:31.7323222Z Traceback (most recent call last): 2022-12-01T10:45:31.7323392Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.7323496Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.7323696Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.7323701Z 2022-12-01T10:45:31.7323769Z from user code: 2022-12-01T10:45:31.7323926Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 268, in __init__ 2022-12-01T10:45:31.7324030Z CustomModuleInterface.__init__(self) 2022-12-01T10:45:31.7324037Z 2022-12-01T10:45:31.7324166Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7324216Z ========== 2022-12-01T10:45:31.7324508Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 272 2022-12-01T10:45:31.7324572Z due to: 2022-12-01T10:45:31.7324661Z Traceback (most recent call last): 2022-12-01T10:45:31.7324824Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.7324929Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.7325126Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.7325131Z 2022-12-01T10:45:31.7325199Z from user code: 2022-12-01T10:45:31.7325339Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 273, in __init__ 2022-12-01T10:45:31.7325441Z CustomModuleInterface.__init__(self) 2022-12-01T10:45:31.7325447Z 2022-12-01T10:45:31.7325576Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7325636Z ========== 2022-12-01T10:45:31.7325701Z ok (0.089s) 2022-12-01T10:45:31.7326167Z test_module_properties (jit.test_module_containers.TestModuleContainers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleWithProperties /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 562 2022-12-01T10:45:31.7326231Z due to: 2022-12-01T10:45:31.7326324Z Traceback (most recent call last): 2022-12-01T10:45:31.7326459Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7326540Z raise Unsupported(msg) 2022-12-01T10:45:31.7326664Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7326669Z 2022-12-01T10:45:31.7326737Z from user code: 2022-12-01T10:45:31.7326914Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 562, in ModuleWithProperties 2022-12-01T10:45:31.7327190Z class ModuleWithProperties(torch.nn.Module): 2022-12-01T10:45:31.7327195Z 2022-12-01T10:45:31.7327324Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7327386Z ========== 2022-12-01T10:45:31.7327438Z ok (0.043s) 2022-12-01T10:45:31.7327602Z test_moduledict (jit.test_module_containers.TestModuleContainers) ... ok (0.217s) 2022-12-01T10:45:31.7327772Z test_moduledict_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.044s) 2022-12-01T10:45:31.7327942Z test_moduledict_keyerror (jit.test_module_containers.TestModuleContainers) ... ok (0.023s) 2022-12-01T10:45:31.7328123Z test_normal_list_attribute_with_modules_error (jit.test_module_containers.TestModuleContainers) 2022-12-01T10:45:31.7328393Z Test that an attempt to script a module with a regular list attribute ... ok (0.008s) 2022-12-01T10:45:31.7328590Z test_parameterdict_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.053s) 2022-12-01T10:45:31.7328766Z test_parameterlist_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (1.173s) 2022-12-01T10:45:31.7328936Z test_parameterlist_script_iter (jit.test_module_containers.TestModuleContainers) ... ok (0.098s) 2022-12-01T10:45:31.7329382Z test_script_module_list_sequential (jit.test_module_containers.TestModuleContainers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 184 2022-12-01T10:45:31.7329448Z due to: 2022-12-01T10:45:31.7329539Z Traceback (most recent call last): 2022-12-01T10:45:31.7329688Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7329772Z raise Unsupported(msg) 2022-12-01T10:45:31.7329896Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7329901Z 2022-12-01T10:45:31.7329969Z from user code: 2022-12-01T10:45:31.7330107Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 184, in M 2022-12-01T10:45:31.7330210Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7330215Z 2022-12-01T10:45:31.7330342Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7330404Z ========== 2022-12-01T10:45:31.7330697Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 185 2022-12-01T10:45:31.7330761Z due to: 2022-12-01T10:45:31.7330851Z Traceback (most recent call last): 2022-12-01T10:45:31.7331017Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7331131Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7331296Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7331301Z 2022-12-01T10:45:31.7331369Z from user code: 2022-12-01T10:45:31.7331525Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 186, in __init__ 2022-12-01T10:45:31.7331605Z super(M, self).__init__() 2022-12-01T10:45:31.7331613Z 2022-12-01T10:45:31.7331741Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7331802Z ========== 2022-12-01T10:45:31.7331868Z ok (0.029s) 2022-12-01T10:45:31.7332033Z test_script_modulelist_index (jit.test_module_containers.TestModuleContainers) ... ok (0.167s) 2022-12-01T10:45:31.7332221Z test_sequential_intermediary_types (jit.test_module_containers.TestModuleContainers) ... ok (0.041s) 2022-12-01T10:45:31.7332668Z test_special_method_with_override (jit.test_module_containers.TestModuleContainers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 328 2022-12-01T10:45:31.7332734Z due to: 2022-12-01T10:45:31.7332824Z Traceback (most recent call last): 2022-12-01T10:45:31.7332991Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.7333096Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.7333338Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.7333344Z 2022-12-01T10:45:31.7333401Z from user code: 2022-12-01T10:45:31.7333556Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 329, in __init__ 2022-12-01T10:45:31.7333660Z CustomModuleInterface.__init__(self) 2022-12-01T10:45:31.7333666Z 2022-12-01T10:45:31.7333794Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7333855Z ========== 2022-12-01T10:45:31.7333920Z ok (0.042s) 2022-12-01T10:45:31.7334076Z test_typed_module_dict (jit.test_module_containers.TestModuleContainers) 2022-12-01T10:45:31.7334565Z Test that a type annotation can be provided for a ModuleDict that allows ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT DoesNotImplementInterface /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 458 2022-12-01T10:45:31.7334619Z due to: 2022-12-01T10:45:31.7334705Z Traceback (most recent call last): 2022-12-01T10:45:31.7334857Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7334939Z raise Unsupported(msg) 2022-12-01T10:45:31.7335063Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7335069Z 2022-12-01T10:45:31.7335138Z from user code: 2022-12-01T10:45:31.7335326Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 458, in DoesNotImplementInterface 2022-12-01T10:45:31.7335461Z class DoesNotImplementInterface(torch.nn.Module): 2022-12-01T10:45:31.7335466Z 2022-12-01T10:45:31.7335582Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7335643Z ========== 2022-12-01T10:45:31.7335930Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Mod /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 463 2022-12-01T10:45:31.7335995Z due to: 2022-12-01T10:45:31.7336085Z Traceback (most recent call last): 2022-12-01T10:45:31.7336233Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7336315Z raise Unsupported(msg) 2022-12-01T10:45:31.7336423Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7336428Z 2022-12-01T10:45:31.7336498Z from user code: 2022-12-01T10:45:31.7336645Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 463, in Mod 2022-12-01T10:45:31.7336732Z class Mod(torch.nn.Module): 2022-12-01T10:45:31.7336737Z 2022-12-01T10:45:31.7336865Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7336927Z ========== 2022-12-01T10:45:31.7337223Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModDict /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 476 2022-12-01T10:45:31.7337285Z due to: 2022-12-01T10:45:31.7337363Z Traceback (most recent call last): 2022-12-01T10:45:31.7337511Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7337592Z raise Unsupported(msg) 2022-12-01T10:45:31.7337714Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7337719Z 2022-12-01T10:45:31.7337787Z from user code: 2022-12-01T10:45:31.7337942Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 476, in ModDict 2022-12-01T10:45:31.7338040Z class ModDict(torch.nn.ModuleDict): 2022-12-01T10:45:31.7338045Z 2022-12-01T10:45:31.7338173Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7338223Z ========== 2022-12-01T10:45:31.7338550Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModWithWrongAnnotation /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 489 2022-12-01T10:45:31.7338614Z due to: 2022-12-01T10:45:31.7338705Z Traceback (most recent call last): 2022-12-01T10:45:31.7338853Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7338936Z raise Unsupported(msg) 2022-12-01T10:45:31.7339060Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7339094Z 2022-12-01T10:45:31.7339150Z from user code: 2022-12-01T10:45:31.7339333Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 489, in ModWithWrongAnnotation 2022-12-01T10:45:31.7339463Z class ModWithWrongAnnotation(torch.nn.ModuleDict): 2022-12-01T10:45:31.7339467Z 2022-12-01T10:45:31.7339595Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7339656Z ========== 2022-12-01T10:45:31.7339719Z ok (0.086s) 2022-12-01T10:45:31.7339876Z test_typed_module_list (jit.test_module_containers.TestModuleContainers) 2022-12-01T10:45:31.7340368Z Test that a type annotation can be provided for a ModuleList that allows ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT DoesNotImplementInterface /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 518 2022-12-01T10:45:31.7340420Z due to: 2022-12-01T10:45:31.7340511Z Traceback (most recent call last): 2022-12-01T10:45:31.7340658Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7340739Z raise Unsupported(msg) 2022-12-01T10:45:31.7340861Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7340865Z 2022-12-01T10:45:31.7340934Z from user code: 2022-12-01T10:45:31.7341119Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 518, in DoesNotImplementInterface 2022-12-01T10:45:31.7341251Z class DoesNotImplementInterface(torch.nn.Module): 2022-12-01T10:45:31.7341256Z 2022-12-01T10:45:31.7341372Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7341436Z ========== 2022-12-01T10:45:31.7341725Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Mod /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 523 2022-12-01T10:45:31.7341788Z due to: 2022-12-01T10:45:31.7341877Z Traceback (most recent call last): 2022-12-01T10:45:31.7342025Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7342112Z raise Unsupported(msg) 2022-12-01T10:45:31.7342235Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7342241Z 2022-12-01T10:45:31.7342297Z from user code: 2022-12-01T10:45:31.7342446Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 523, in Mod 2022-12-01T10:45:31.7342534Z class Mod(torch.nn.Module): 2022-12-01T10:45:31.7342539Z 2022-12-01T10:45:31.7342670Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7342732Z ========== 2022-12-01T10:45:31.7343025Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModList /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 536 2022-12-01T10:45:31.7343088Z due to: 2022-12-01T10:45:31.7343168Z Traceback (most recent call last): 2022-12-01T10:45:31.7343316Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7343401Z raise Unsupported(msg) 2022-12-01T10:45:31.7343519Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7343526Z 2022-12-01T10:45:31.7343595Z from user code: 2022-12-01T10:45:31.7343749Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 536, in ModList 2022-12-01T10:45:31.7343850Z class ModList(torch.nn.ModuleList): 2022-12-01T10:45:31.7343855Z 2022-12-01T10:45:31.7343983Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7344031Z ========== 2022-12-01T10:45:31.7344355Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModWithWrongAnnotation /var/lib/jenkins/workspace/test/jit/test_module_containers.py line 549 2022-12-01T10:45:31.7344418Z due to: 2022-12-01T10:45:31.7344506Z Traceback (most recent call last): 2022-12-01T10:45:31.7344658Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7344738Z raise Unsupported(msg) 2022-12-01T10:45:31.7344861Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7344866Z 2022-12-01T10:45:31.7344935Z from user code: 2022-12-01T10:45:31.7345133Z File "/var/lib/jenkins/workspace/test/jit/test_module_containers.py", line 549, in ModWithWrongAnnotation 2022-12-01T10:45:31.7345266Z class ModWithWrongAnnotation(torch.nn.ModuleList): 2022-12-01T10:45:31.7345271Z 2022-12-01T10:45:31.7345402Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7345463Z ========== 2022-12-01T10:45:31.7345528Z ok (0.084s) 2022-12-01T10:45:31.7346005Z test_freeze_module_with_inplace_mutation_in_interface (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 521 2022-12-01T10:45:31.7346069Z due to: 2022-12-01T10:45:31.7346188Z Traceback (most recent call last): 2022-12-01T10:45:31.7346325Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7346406Z raise Unsupported(msg) 2022-12-01T10:45:31.7346525Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7346532Z 2022-12-01T10:45:31.7346601Z from user code: 2022-12-01T10:45:31.7346756Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 521, in SubModule 2022-12-01T10:45:31.7346848Z class SubModule(torch.nn.Module): 2022-12-01T10:45:31.7346853Z 2022-12-01T10:45:31.7346983Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7347044Z ========== 2022-12-01T10:45:31.7347333Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 542 2022-12-01T10:45:31.7347397Z due to: 2022-12-01T10:45:31.7347486Z Traceback (most recent call last): 2022-12-01T10:45:31.7347636Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7347718Z raise Unsupported(msg) 2022-12-01T10:45:31.7347838Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7347843Z 2022-12-01T10:45:31.7347912Z from user code: 2022-12-01T10:45:31.7348061Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 542, in ModInterface 2022-12-01T10:45:31.7348141Z @torch.jit.interface 2022-12-01T10:45:31.7348146Z 2022-12-01T10:45:31.7348274Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7348334Z ========== 2022-12-01T10:45:31.7348399Z ok (0.030s) 2022-12-01T10:45:31.7348851Z test_freeze_module_with_interface (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 450 2022-12-01T10:45:31.7348914Z due to: 2022-12-01T10:45:31.7349004Z Traceback (most recent call last): 2022-12-01T10:45:31.7349140Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7349221Z raise Unsupported(msg) 2022-12-01T10:45:31.7349341Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7349346Z 2022-12-01T10:45:31.7349415Z from user code: 2022-12-01T10:45:31.7349574Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 450, in ModInterface 2022-12-01T10:45:31.7349652Z @torch.jit.interface 2022-12-01T10:45:31.7349658Z 2022-12-01T10:45:31.7349783Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7349845Z ========== 2022-12-01T10:45:31.7349897Z ok (0.025s) 2022-12-01T10:45:31.7350366Z test_freeze_module_with_interface_and_fork (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 630 2022-12-01T10:45:31.7350430Z due to: 2022-12-01T10:45:31.7350522Z Traceback (most recent call last): 2022-12-01T10:45:31.7350668Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7350744Z raise Unsupported(msg) 2022-12-01T10:45:31.7350865Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7350901Z 2022-12-01T10:45:31.7350958Z from user code: 2022-12-01T10:45:31.7351117Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 630, in ModInterface 2022-12-01T10:45:31.7351198Z @torch.jit.interface 2022-12-01T10:45:31.7351203Z 2022-12-01T10:45:31.7351332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7351394Z ========== 2022-12-01T10:45:31.7351457Z ok (0.033s) 2022-12-01T10:45:31.7351915Z test_freeze_module_with_mutated_interface (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 568 2022-12-01T10:45:31.7351979Z due to: 2022-12-01T10:45:31.7352085Z Traceback (most recent call last): 2022-12-01T10:45:31.7352232Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7352314Z raise Unsupported(msg) 2022-12-01T10:45:31.7352435Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7352443Z 2022-12-01T10:45:31.7352512Z from user code: 2022-12-01T10:45:31.7352667Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 568, in SubModule 2022-12-01T10:45:31.7352762Z class SubModule(torch.nn.Module): 2022-12-01T10:45:31.7352767Z 2022-12-01T10:45:31.7352893Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7352943Z ========== 2022-12-01T10:45:31.7353243Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 588 2022-12-01T10:45:31.7353306Z due to: 2022-12-01T10:45:31.7353393Z Traceback (most recent call last): 2022-12-01T10:45:31.7353544Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7353625Z raise Unsupported(msg) 2022-12-01T10:45:31.7353745Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7353750Z 2022-12-01T10:45:31.7353819Z from user code: 2022-12-01T10:45:31.7353969Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 588, in ModInterface 2022-12-01T10:45:31.7354047Z @torch.jit.interface 2022-12-01T10:45:31.7354052Z 2022-12-01T10:45:31.7354179Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7354240Z ========== 2022-12-01T10:45:31.7354306Z ok (0.028s) 2022-12-01T10:45:31.7354766Z test_freeze_module_with_setattr_in_interface (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 477 2022-12-01T10:45:31.7354829Z due to: 2022-12-01T10:45:31.7354906Z Traceback (most recent call last): 2022-12-01T10:45:31.7355056Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7355137Z raise Unsupported(msg) 2022-12-01T10:45:31.7355258Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7355264Z 2022-12-01T10:45:31.7355335Z from user code: 2022-12-01T10:45:31.7355490Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 477, in SubModule 2022-12-01T10:45:31.7355585Z class SubModule(torch.nn.Module): 2022-12-01T10:45:31.7355591Z 2022-12-01T10:45:31.7355716Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7355765Z ========== 2022-12-01T10:45:31.7356062Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 498 2022-12-01T10:45:31.7356123Z due to: 2022-12-01T10:45:31.7356213Z Traceback (most recent call last): 2022-12-01T10:45:31.7356364Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7356444Z raise Unsupported(msg) 2022-12-01T10:45:31.7356565Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7356571Z 2022-12-01T10:45:31.7356638Z from user code: 2022-12-01T10:45:31.7356785Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 498, in ModInterface 2022-12-01T10:45:31.7356898Z @torch.jit.interface 2022-12-01T10:45:31.7356903Z 2022-12-01T10:45:31.7357030Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7357091Z ========== 2022-12-01T10:45:31.7357156Z ok (0.028s) 2022-12-01T10:45:31.7357613Z test_module_apis_interface (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 664 2022-12-01T10:45:31.7357680Z due to: 2022-12-01T10:45:31.7357757Z Traceback (most recent call last): 2022-12-01T10:45:31.7357947Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7358029Z raise Unsupported(msg) 2022-12-01T10:45:31.7358150Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7358154Z 2022-12-01T10:45:31.7358221Z from user code: 2022-12-01T10:45:31.7358386Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 664, in ModuleInterface 2022-12-01T10:45:31.7358466Z @torch.jit.interface 2022-12-01T10:45:31.7358472Z 2022-12-01T10:45:31.7358597Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7358648Z ========== 2022-12-01T10:45:31.7358946Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 669 2022-12-01T10:45:31.7359010Z due to: 2022-12-01T10:45:31.7359099Z Traceback (most recent call last): 2022-12-01T10:45:31.7359245Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7359329Z raise Unsupported(msg) 2022-12-01T10:45:31.7359449Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7359454Z 2022-12-01T10:45:31.7359524Z from user code: 2022-12-01T10:45:31.7359670Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 669, in TestModule 2022-12-01T10:45:31.7359758Z class TestModule(nn.Module): 2022-12-01T10:45:31.7359763Z 2022-12-01T10:45:31.7359889Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7359951Z ========== 2022-12-01T10:45:31.7360014Z ok (0.016s) 2022-12-01T10:45:31.7360181Z test_module_doc_string (jit.test_module_interface.TestModuleInterface) ... ok (0.027s) 2022-12-01T10:45:31.7360617Z test_module_interface (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT OneTwoModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 64 2022-12-01T10:45:31.7360679Z due to: 2022-12-01T10:45:31.7360759Z Traceback (most recent call last): 2022-12-01T10:45:31.7360909Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7360991Z raise Unsupported(msg) 2022-12-01T10:45:31.7361110Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7361115Z 2022-12-01T10:45:31.7361179Z from user code: 2022-12-01T10:45:31.7361340Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 64, in OneTwoModule 2022-12-01T10:45:31.7361421Z @torch.jit.interface 2022-12-01T10:45:31.7361426Z 2022-12-01T10:45:31.7361541Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7361602Z ========== 2022-12-01T10:45:31.7361896Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT OneTwoClass /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 75 2022-12-01T10:45:31.7361960Z due to: 2022-12-01T10:45:31.7362048Z Traceback (most recent call last): 2022-12-01T10:45:31.7362193Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7362274Z raise Unsupported(msg) 2022-12-01T10:45:31.7362396Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7362401Z 2022-12-01T10:45:31.7362457Z from user code: 2022-12-01T10:45:31.7362614Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 75, in OneTwoClass 2022-12-01T10:45:31.7362724Z @torch.jit.interface 2022-12-01T10:45:31.7362729Z 2022-12-01T10:45:31.7362856Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7362920Z ========== 2022-12-01T10:45:31.7363207Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooMod /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 83 2022-12-01T10:45:31.7363272Z due to: 2022-12-01T10:45:31.7363350Z Traceback (most recent call last): 2022-12-01T10:45:31.7363498Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7363579Z raise Unsupported(msg) 2022-12-01T10:45:31.7363699Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7363735Z 2022-12-01T10:45:31.7363804Z from user code: 2022-12-01T10:45:31.7363954Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 83, in FooMod 2022-12-01T10:45:31.7364039Z class FooMod(nn.Module): 2022-12-01T10:45:31.7364044Z 2022-12-01T10:45:31.7364176Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7364225Z ========== 2022-12-01T10:45:31.7364509Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BarMod /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 93 2022-12-01T10:45:31.7364573Z due to: 2022-12-01T10:45:31.7364663Z Traceback (most recent call last): 2022-12-01T10:45:31.7364808Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7364890Z raise Unsupported(msg) 2022-12-01T10:45:31.7365008Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7365013Z 2022-12-01T10:45:31.7365080Z from user code: 2022-12-01T10:45:31.7365221Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 93, in BarMod 2022-12-01T10:45:31.7365302Z class BarMod(nn.Module): 2022-12-01T10:45:31.7365307Z 2022-12-01T10:45:31.7365434Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7365494Z ========== 2022-12-01T10:45:31.7365561Z ok (0.131s) 2022-12-01T10:45:31.7366014Z test_module_interface_inheritance (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT InheritMod /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 245 2022-12-01T10:45:31.7366078Z due to: 2022-12-01T10:45:31.7366156Z Traceback (most recent call last): 2022-12-01T10:45:31.7366302Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7366381Z raise Unsupported(msg) 2022-12-01T10:45:31.7366501Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7366505Z 2022-12-01T10:45:31.7366573Z from user code: 2022-12-01T10:45:31.7366730Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 245, in InheritMod 2022-12-01T10:45:31.7366809Z @torch.jit.interface 2022-12-01T10:45:31.7366815Z 2022-12-01T10:45:31.7367063Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7367116Z ========== 2022-12-01T10:45:31.7367180Z ok (0.007s) 2022-12-01T10:45:31.7367628Z test_module_interface_subtype (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT OneTwoModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 158 2022-12-01T10:45:31.7367690Z due to: 2022-12-01T10:45:31.7367771Z Traceback (most recent call last): 2022-12-01T10:45:31.7367916Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7367993Z raise Unsupported(msg) 2022-12-01T10:45:31.7368106Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7368111Z 2022-12-01T10:45:31.7368169Z from user code: 2022-12-01T10:45:31.7368397Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 158, in OneTwoModule 2022-12-01T10:45:31.7368477Z @torch.jit.interface 2022-12-01T10:45:31.7368481Z 2022-12-01T10:45:31.7368604Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7368713Z ========== 2022-12-01T10:45:31.7369004Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 175 2022-12-01T10:45:31.7369064Z due to: 2022-12-01T10:45:31.7369156Z Traceback (most recent call last): 2022-12-01T10:45:31.7369293Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7369371Z raise Unsupported(msg) 2022-12-01T10:45:31.7369491Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7369496Z 2022-12-01T10:45:31.7369562Z from user code: 2022-12-01T10:45:31.7369750Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 175, in Foo 2022-12-01T10:45:31.7369829Z @torch.jit.script 2022-12-01T10:45:31.7369835Z 2022-12-01T10:45:31.7369963Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7370012Z ========== 2022-12-01T10:45:31.7370306Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT WrongMod /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 190 2022-12-01T10:45:31.7370367Z due to: 2022-12-01T10:45:31.7370452Z Traceback (most recent call last): 2022-12-01T10:45:31.7370595Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7370674Z raise Unsupported(msg) 2022-12-01T10:45:31.7370788Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7370793Z 2022-12-01T10:45:31.7370860Z from user code: 2022-12-01T10:45:31.7371000Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 190, in WrongMod 2022-12-01T10:45:31.7371088Z class WrongMod(nn.Module): 2022-12-01T10:45:31.7371092Z 2022-12-01T10:45:31.7371220Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7371281Z ========== 2022-12-01T10:45:31.7371577Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TensorToAny /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 204 2022-12-01T10:45:31.7371640Z due to: 2022-12-01T10:45:31.7371724Z Traceback (most recent call last): 2022-12-01T10:45:31.7371861Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7371940Z raise Unsupported(msg) 2022-12-01T10:45:31.7372055Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7372060Z 2022-12-01T10:45:31.7372125Z from user code: 2022-12-01T10:45:31.7372279Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 204, in TensorToAny 2022-12-01T10:45:31.7372353Z @torch.jit.interface 2022-12-01T10:45:31.7372358Z 2022-12-01T10:45:31.7372480Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7372542Z ========== 2022-12-01T10:45:31.7372839Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TensorToAnyImplB /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 230 2022-12-01T10:45:31.7372904Z due to: 2022-12-01T10:45:31.7372993Z Traceback (most recent call last): 2022-12-01T10:45:31.7373142Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7373221Z raise Unsupported(msg) 2022-12-01T10:45:31.7373338Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7373343Z 2022-12-01T10:45:31.7373408Z from user code: 2022-12-01T10:45:31.7373573Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 230, in TensorToAnyImplB 2022-12-01T10:45:31.7373659Z class TensorToAnyImplB(nn.Module): 2022-12-01T10:45:31.7373664Z 2022-12-01T10:45:31.7373790Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7373848Z ========== 2022-12-01T10:45:31.7374144Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT AnyToAnyImpl /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 234 2022-12-01T10:45:31.7374206Z due to: 2022-12-01T10:45:31.7374291Z Traceback (most recent call last): 2022-12-01T10:45:31.7374437Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7374544Z raise Unsupported(msg) 2022-12-01T10:45:31.7374664Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7374668Z 2022-12-01T10:45:31.7374735Z from user code: 2022-12-01T10:45:31.7374891Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 234, in AnyToAnyImpl 2022-12-01T10:45:31.7374978Z class AnyToAnyImpl(nn.Module): 2022-12-01T10:45:31.7374983Z 2022-12-01T10:45:31.7375110Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7375171Z ========== 2022-12-01T10:45:31.7375235Z ok (0.039s) 2022-12-01T10:45:31.7375688Z test_module_swap (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 251 2022-12-01T10:45:31.7375753Z due to: 2022-12-01T10:45:31.7375841Z Traceback (most recent call last): 2022-12-01T10:45:31.7375984Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7376068Z raise Unsupported(msg) 2022-12-01T10:45:31.7376189Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7376193Z 2022-12-01T10:45:31.7376263Z from user code: 2022-12-01T10:45:31.7376429Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 251, in ModuleInterface 2022-12-01T10:45:31.7376495Z @torch.jit.interface 2022-12-01T10:45:31.7376500Z 2022-12-01T10:45:31.7376624Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7376682Z ========== 2022-12-01T10:45:31.7376980Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 259 2022-12-01T10:45:31.7377041Z due to: 2022-12-01T10:45:31.7377129Z Traceback (most recent call last): 2022-12-01T10:45:31.7377274Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7377343Z raise Unsupported(msg) 2022-12-01T10:45:31.7377463Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7377468Z 2022-12-01T10:45:31.7377531Z from user code: 2022-12-01T10:45:31.7377686Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 259, in TestModule 2022-12-01T10:45:31.7377770Z class TestModule(nn.Module): 2022-12-01T10:45:31.7377774Z 2022-12-01T10:45:31.7377900Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7377960Z ========== 2022-12-01T10:45:31.7378022Z ok (0.026s) 2022-12-01T10:45:31.7378469Z test_module_swap_no_lazy_compile (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 313 2022-12-01T10:45:31.7378533Z due to: 2022-12-01T10:45:31.7378619Z Traceback (most recent call last): 2022-12-01T10:45:31.7378763Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7378844Z raise Unsupported(msg) 2022-12-01T10:45:31.7378959Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7378964Z 2022-12-01T10:45:31.7379031Z from user code: 2022-12-01T10:45:31.7379195Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 313, in ModuleInterface 2022-12-01T10:45:31.7379262Z @torch.jit.interface 2022-12-01T10:45:31.7379267Z 2022-12-01T10:45:31.7379393Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7379452Z ========== 2022-12-01T10:45:31.7379747Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 321 2022-12-01T10:45:31.7379810Z due to: 2022-12-01T10:45:31.7379899Z Traceback (most recent call last): 2022-12-01T10:45:31.7380044Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7380125Z raise Unsupported(msg) 2022-12-01T10:45:31.7380233Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7380269Z 2022-12-01T10:45:31.7380337Z from user code: 2022-12-01T10:45:31.7380491Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 321, in TestModule 2022-12-01T10:45:31.7380579Z class TestModule(nn.Module): 2022-12-01T10:45:31.7380583Z 2022-12-01T10:45:31.7380707Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7380769Z ========== 2022-12-01T10:45:31.7381112Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT NewModuleMethodNotLazyCompile /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 331 2022-12-01T10:45:31.7381173Z due to: 2022-12-01T10:45:31.7381251Z Traceback (most recent call last): 2022-12-01T10:45:31.7381425Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7381507Z raise Unsupported(msg) 2022-12-01T10:45:31.7381625Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7381630Z 2022-12-01T10:45:31.7381697Z from user code: 2022-12-01T10:45:31.7381892Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 331, in NewModuleMethodNotLazyCompile 2022-12-01T10:45:31.7382020Z class NewModuleMethodNotLazyCompile(nn.Module): 2022-12-01T10:45:31.7382025Z 2022-12-01T10:45:31.7382139Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7382200Z ========== 2022-12-01T10:45:31.7382537Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT NewModuleMethodManualExport /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 347 2022-12-01T10:45:31.7382599Z due to: 2022-12-01T10:45:31.7382689Z Traceback (most recent call last): 2022-12-01T10:45:31.7382836Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7382918Z raise Unsupported(msg) 2022-12-01T10:45:31.7383038Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7383043Z 2022-12-01T10:45:31.7383100Z from user code: 2022-12-01T10:45:31.7383285Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 347, in NewModuleMethodManualExport 2022-12-01T10:45:31.7383410Z class NewModuleMethodManualExport(nn.Module): 2022-12-01T10:45:31.7383415Z 2022-12-01T10:45:31.7383544Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7383604Z ========== 2022-12-01T10:45:31.7383666Z ok (0.031s) 2022-12-01T10:45:31.7384144Z test_module_swap_no_module_interface (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestNoModuleInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 364 2022-12-01T10:45:31.7384204Z due to: 2022-12-01T10:45:31.7384283Z Traceback (most recent call last): 2022-12-01T10:45:31.7384432Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7384515Z raise Unsupported(msg) 2022-12-01T10:45:31.7384655Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7384661Z 2022-12-01T10:45:31.7384763Z from user code: 2022-12-01T10:45:31.7384948Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 364, in TestNoModuleInterface 2022-12-01T10:45:31.7385055Z class TestNoModuleInterface(nn.Module): 2022-12-01T10:45:31.7385060Z 2022-12-01T10:45:31.7385186Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7385235Z ========== 2022-12-01T10:45:31.7385296Z ok (0.029s) 2022-12-01T10:45:31.7385745Z test_module_swap_wrong_module (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 282 2022-12-01T10:45:31.7385808Z due to: 2022-12-01T10:45:31.7385895Z Traceback (most recent call last): 2022-12-01T10:45:31.7386040Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7386119Z raise Unsupported(msg) 2022-12-01T10:45:31.7386227Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7386280Z 2022-12-01T10:45:31.7386337Z from user code: 2022-12-01T10:45:31.7386498Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 282, in ModuleInterface 2022-12-01T10:45:31.7386575Z @torch.jit.interface 2022-12-01T10:45:31.7386580Z 2022-12-01T10:45:31.7386706Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7386768Z ========== 2022-12-01T10:45:31.7387067Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 297 2022-12-01T10:45:31.7387129Z due to: 2022-12-01T10:45:31.7387207Z Traceback (most recent call last): 2022-12-01T10:45:31.7387385Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7387466Z raise Unsupported(msg) 2022-12-01T10:45:31.7387585Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7387590Z 2022-12-01T10:45:31.7387657Z from user code: 2022-12-01T10:45:31.7387815Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 297, in TestModule 2022-12-01T10:45:31.7387897Z class TestModule(nn.Module): 2022-12-01T10:45:31.7387901Z 2022-12-01T10:45:31.7388025Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7388074Z ========== 2022-12-01T10:45:31.7388137Z ok (0.022s) 2022-12-01T10:45:31.7388592Z test_not_submodule_interface_call (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 45 2022-12-01T10:45:31.7388653Z due to: 2022-12-01T10:45:31.7388742Z Traceback (most recent call last): 2022-12-01T10:45:31.7388887Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7388968Z raise Unsupported(msg) 2022-12-01T10:45:31.7389077Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7389093Z 2022-12-01T10:45:31.7389151Z from user code: 2022-12-01T10:45:31.7389313Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 45, in ModuleInterface 2022-12-01T10:45:31.7389394Z @torch.jit.interface 2022-12-01T10:45:31.7389400Z 2022-12-01T10:45:31.7389527Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7389585Z ========== 2022-12-01T10:45:31.7389915Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestNotModuleInterfaceCall /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 50 2022-12-01T10:45:31.7389977Z due to: 2022-12-01T10:45:31.7390054Z Traceback (most recent call last): 2022-12-01T10:45:31.7390200Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7390279Z raise Unsupported(msg) 2022-12-01T10:45:31.7390398Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7390403Z 2022-12-01T10:45:31.7390469Z from user code: 2022-12-01T10:45:31.7390653Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 50, in TestNotModuleInterfaceCall 2022-12-01T10:45:31.7390773Z class TestNotModuleInterfaceCall(nn.Module): 2022-12-01T10:45:31.7390778Z 2022-12-01T10:45:31.7390907Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7390956Z ========== 2022-12-01T10:45:31.7391020Z ok (0.013s) 2022-12-01T10:45:31.7391483Z test_script_module_as_interface_swap (jit.test_module_interface.TestModuleInterface) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleInterface /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 382 2022-12-01T10:45:31.7391544Z due to: 2022-12-01T10:45:31.7391635Z Traceback (most recent call last): 2022-12-01T10:45:31.7391782Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7391863Z raise Unsupported(msg) 2022-12-01T10:45:31.7391983Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7391988Z 2022-12-01T10:45:31.7392044Z from user code: 2022-12-01T10:45:31.7392244Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 382, in ModuleInterface 2022-12-01T10:45:31.7392323Z @torch.jit.interface 2022-12-01T10:45:31.7392330Z 2022-12-01T10:45:31.7392458Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7392520Z ========== 2022-12-01T10:45:31.7392828Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT OrigScriptModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 390 2022-12-01T10:45:31.7392890Z due to: 2022-12-01T10:45:31.7392968Z Traceback (most recent call last): 2022-12-01T10:45:31.7393122Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7393233Z raise Unsupported(msg) 2022-12-01T10:45:31.7393355Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7393360Z 2022-12-01T10:45:31.7393426Z from user code: 2022-12-01T10:45:31.7393590Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 390, in OrigScriptModule 2022-12-01T10:45:31.7393720Z class OrigScriptModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7393725Z 2022-12-01T10:45:31.7393852Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7393902Z ========== 2022-12-01T10:45:31.7394210Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT NewScriptModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 402 2022-12-01T10:45:31.7394272Z due to: 2022-12-01T10:45:31.7394361Z Traceback (most recent call last): 2022-12-01T10:45:31.7394509Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7394590Z raise Unsupported(msg) 2022-12-01T10:45:31.7394712Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7394716Z 2022-12-01T10:45:31.7394783Z from user code: 2022-12-01T10:45:31.7394937Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 402, in NewScriptModule 2022-12-01T10:45:31.7395060Z class NewScriptModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7395066Z 2022-12-01T10:45:31.7395197Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7395257Z ========== 2022-12-01T10:45:31.7395592Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestNNModuleWithScriptModule /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 414 2022-12-01T10:45:31.7395655Z due to: 2022-12-01T10:45:31.7395746Z Traceback (most recent call last): 2022-12-01T10:45:31.7395895Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7395964Z raise Unsupported(msg) 2022-12-01T10:45:31.7396084Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7396091Z 2022-12-01T10:45:31.7396157Z from user code: 2022-12-01T10:45:31.7396345Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 414, in TestNNModuleWithScriptModule 2022-12-01T10:45:31.7396472Z class TestNNModuleWithScriptModule(nn.Module): 2022-12-01T10:45:31.7396479Z 2022-12-01T10:45:31.7396606Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7396667Z ========== 2022-12-01T10:45:31.7396957Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 391 2022-12-01T10:45:31.7397008Z due to: 2022-12-01T10:45:31.7397098Z Traceback (most recent call last): 2022-12-01T10:45:31.7397266Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7397387Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7397550Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7397556Z 2022-12-01T10:45:31.7397625Z from user code: 2022-12-01T10:45:31.7397775Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 392, in __init__ 2022-12-01T10:45:31.7397876Z super(OrigScriptModule, self).__init__() 2022-12-01T10:45:31.7397912Z 2022-12-01T10:45:31.7398030Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7398089Z ========== 2022-12-01T10:45:31.7398376Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_module_interface.py line 403 2022-12-01T10:45:31.7398439Z due to: 2022-12-01T10:45:31.7398528Z Traceback (most recent call last): 2022-12-01T10:45:31.7398691Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7398811Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7399002Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7399018Z 2022-12-01T10:45:31.7399075Z from user code: 2022-12-01T10:45:31.7399229Z File "/var/lib/jenkins/workspace/test/jit/test_module_interface.py", line 404, in __init__ 2022-12-01T10:45:31.7399327Z super(NewScriptModule, self).__init__() 2022-12-01T10:45:31.7399335Z 2022-12-01T10:45:31.7399460Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7399523Z ========== 2022-12-01T10:45:31.7399588Z ok (0.032s) 2022-12-01T10:45:31.7399725Z test_script_module_with_constants_list (jit.test_modules.TestModules) 2022-12-01T10:45:31.7400076Z Test that a module that has __constants__ set to something ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Net /var/lib/jenkins/workspace/test/jit/test_modules.py line 26 2022-12-01T10:45:31.7400137Z due to: 2022-12-01T10:45:31.7400227Z Traceback (most recent call last): 2022-12-01T10:45:31.7400375Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7400459Z raise Unsupported(msg) 2022-12-01T10:45:31.7400577Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7400581Z 2022-12-01T10:45:31.7400645Z from user code: 2022-12-01T10:45:31.7400780Z File "/var/lib/jenkins/workspace/test/jit/test_modules.py", line 26, in Net 2022-12-01T10:45:31.7400858Z class Net(torch.nn.Linear): 2022-12-01T10:45:31.7400862Z 2022-12-01T10:45:31.7400989Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7401050Z ========== 2022-12-01T10:45:31.7401112Z ok (0.014s) 2022-12-01T10:45:31.7401245Z test_namedtuple (jit.test_list_dict.TestNamedTuple) ... ok (0.007s) 2022-12-01T10:45:31.7401386Z test_namedtuple_as_attr (jit.test_list_dict.TestNamedTuple) ... ok (0.010s) 2022-12-01T10:45:31.7401528Z test_namedtuple_constant (jit.test_list_dict.TestNamedTuple) ... ok (0.005s) 2022-12-01T10:45:31.7401668Z test_namedtuple_kwarg_construct (jit.test_list_dict.TestNamedTuple) ... ok (0.006s) 2022-12-01T10:45:31.7401811Z test_namedtuple_lower (jit.test_list_dict.TestNamedTuple) ... ok (0.006s) 2022-12-01T10:45:31.7401957Z test_namedtuple_resolution (jit.test_list_dict.TestNamedTuple) ... ok (0.028s) 2022-12-01T10:45:31.7402151Z test_namedtuple_serialization (jit.test_list_dict.TestNamedTuple) ... skip: broken while these tests were not in CI (0.001s) 2022-12-01T10:45:31.7402301Z test_namedtuple_slice_unpack (jit.test_list_dict.TestNamedTuple) ... ok (0.006s) 2022-12-01T10:45:31.7402447Z test_namedtuple_type_annotation (jit.test_list_dict.TestNamedTuple) ... ok (0.006s) 2022-12-01T10:45:31.7402595Z test_namedtuple_wrong_types (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-12-01T10:45:31.7402733Z test_return_named_tuple (jit.test_list_dict.TestNamedTuple) ... ok (0.007s) 2022-12-01T10:45:31.7403151Z test_adaptive_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_adaptive_avg_pool2d /var/lib/jenkins/workspace/test/test_nnapi.py line 465 2022-12-01T10:45:31.7403206Z due to: 2022-12-01T10:45:31.7403294Z Traceback (most recent call last): 2022-12-01T10:45:31.7403463Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.7403579Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.7403689Z AssertionError: dtype 2022-12-01T10:45:31.7403695Z 2022-12-01T10:45:31.7403764Z from user code: 2022-12-01T10:45:31.7403920Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 466, in test_adaptive_avg_pool2d 2022-12-01T10:45:31.7404063Z for (name, inp) in self.float_and_quant_and_nhwc(torch.randn(2, 3, 12, 16), 0.3, 128): 2022-12-01T10:45:31.7404068Z 2022-12-01T10:45:31.7404184Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7404243Z ========== 2022-12-01T10:45:31.7404533Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT float_and_quant_and_nhwc /var/lib/jenkins/workspace/test/test_nnapi.py line 88 2022-12-01T10:45:31.7404593Z due to: 2022-12-01T10:45:31.7404713Z Traceback (most recent call last): 2022-12-01T10:45:31.7404879Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.7404997Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.7405078Z AssertionError: dtype 2022-12-01T10:45:31.7405083Z 2022-12-01T10:45:31.7405141Z from user code: 2022-12-01T10:45:31.7405293Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 90, in float_and_quant_and_nhwc 2022-12-01T10:45:31.7405385Z inp_quant = qpt(inp_float, 0.03, 128) 2022-12-01T10:45:31.7405390Z 2022-12-01T10:45:31.7405517Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7405577Z ========== 2022-12-01T10:45:31.7405832Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT qpt /var/lib/jenkins/workspace/test/test_nnapi.py line 13 2022-12-01T10:45:31.7405900Z due to: 2022-12-01T10:45:31.7405978Z Traceback (most recent call last): 2022-12-01T10:45:31.7406196Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.7406291Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.7408257Z NotImplementedError: Could not run 'aten::quantize_per_tensor' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::quantize_per_tensor' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:45:31.7408281Z 2022-12-01T10:45:31.7408519Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:45:31.7408765Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:45:31.7408961Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:45:31.7409185Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:45:31.7409401Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:45:31.7409592Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:45:31.7409777Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.7409963Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:45:31.7410210Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:45:31.7410436Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:45:31.7410627Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7410827Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7411062Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7411260Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7411458Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7411655Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7411853Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7412045Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7412240Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7412434Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7412619Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7412819Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7413028Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7413235Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7413443Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7413657Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:45:31.7413833Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:45:31.7414027Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:45:31.7414221Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:45:31.7414452Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:45:31.7414672Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:45:31.7414865Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:45:31.7415074Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:45:31.7415283Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:45:31.7415554Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:45:31.7415784Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:45:31.7415992Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:45:31.7415998Z 2022-12-01T10:45:31.7416002Z 2022-12-01T10:45:31.7416136Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.7416142Z 2022-12-01T10:45:31.7416261Z Traceback (most recent call last): 2022-12-01T10:45:31.7416529Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:45:31.7416673Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:45:31.7416862Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:45:31.7416867Z 2022-12-01T10:45:31.7416997Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7417002Z 2022-12-01T10:45:31.7417091Z Traceback (most recent call last): 2022-12-01T10:45:31.7417248Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:45:31.7417313Z ) from e 2022-12-01T10:45:31.7417556Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:45:31.7417562Z 2022-12-01T10:45:31.7417695Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7417699Z 2022-12-01T10:45:31.7417789Z Traceback (most recent call last): 2022-12-01T10:45:31.7417933Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7418028Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7418135Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7418140Z 2022-12-01T10:45:31.7418205Z from user code: 2022-12-01T10:45:31.7418338Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 15, in qpt 2022-12-01T10:45:31.7418464Z return torch.quantize_per_tensor(t, scale, zero_point, dtype) 2022-12-01T10:45:31.7418469Z 2022-12-01T10:45:31.7418599Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7418662Z ========== 2022-12-01T10:45:31.7418915Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT nhwc /var/lib/jenkins/workspace/test/test_nnapi.py line 18 2022-12-01T10:45:31.7418978Z due to: 2022-12-01T10:45:31.7419071Z Traceback (most recent call last): 2022-12-01T10:45:31.7419332Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:45:31.7419487Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:45:31.7419675Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:45:31.7419680Z 2022-12-01T10:45:31.7419815Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7419820Z 2022-12-01T10:45:31.7419905Z Traceback (most recent call last): 2022-12-01T10:45:31.7420058Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:45:31.7420109Z ) from e 2022-12-01T10:45:31.7420353Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:45:31.7420359Z 2022-12-01T10:45:31.7420489Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7420551Z ========== 2022-12-01T10:45:31.7420812Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT check /var/lib/jenkins/workspace/test/test_nnapi.py line 48 2022-12-01T10:45:31.7420873Z due to: 2022-12-01T10:45:31.7420993Z Traceback (most recent call last): 2022-12-01T10:45:31.7421241Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:45:31.7421397Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:45:31.7421582Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:45:31.7421587Z 2022-12-01T10:45:31.7421721Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7421726Z 2022-12-01T10:45:31.7421814Z Traceback (most recent call last): 2022-12-01T10:45:31.7421996Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:45:31.7422061Z ) from e 2022-12-01T10:45:31.7422305Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:45:31.7422312Z 2022-12-01T10:45:31.7422443Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7422493Z ========== 2022-12-01T10:45:31.7422801Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT call_lowering_to_nnapi /var/lib/jenkins/workspace/test/jit/test_backend_nnapi.py line 53 2022-12-01T10:45:31.7422865Z due to: 2022-12-01T10:45:31.7422955Z Traceback (most recent call last): 2022-12-01T10:45:31.7423213Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:45:31.7423368Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:45:31.7423556Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:45:31.7423561Z 2022-12-01T10:45:31.7423697Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7423702Z 2022-12-01T10:45:31.7423790Z Traceback (most recent call last): 2022-12-01T10:45:31.7423934Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:45:31.7424001Z ) from e 2022-12-01T10:45:31.7424244Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:45:31.7424250Z 2022-12-01T10:45:31.7424378Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7424440Z ========== 2022-12-01T10:45:31.7424785Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7424893Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.7425215Z /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7425293Z t = torch.tensor(t) 2022-12-01T10:45:31.7425348Z ok (0.493s) 2022-12-01T10:45:31.7425739Z test_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_avg_pool2d /var/lib/jenkins/workspace/test/test_nnapi.py line 437 2022-12-01T10:45:31.7425802Z due to: 2022-12-01T10:45:31.7425892Z Traceback (most recent call last): 2022-12-01T10:45:31.7426060Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.7426180Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.7426260Z AssertionError: dtype 2022-12-01T10:45:31.7426266Z 2022-12-01T10:45:31.7426334Z from user code: 2022-12-01T10:45:31.7426469Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 438, in test_avg_pool2d 2022-12-01T10:45:31.7426611Z for (name, inp) in self.float_and_quant_and_nhwc(torch.randn(2, 3, 12, 16), 0.3, 128): 2022-12-01T10:45:31.7426648Z 2022-12-01T10:45:31.7426777Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7426836Z ========== 2022-12-01T10:45:31.7427153Z /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7427229Z t = torch.tensor(t) 2022-12-01T10:45:31.7427293Z ok (1.256s) 2022-12-01T10:45:31.7427432Z test_cat (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.055s) 2022-12-01T10:45:31.7427604Z test_compile_spec_santiy (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.045s) 2022-12-01T10:45:31.7427984Z test_conv2d (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7428060Z t = torch.tensor(t) 2022-12-01T10:45:31.7428123Z ok (3.663s) 2022-12-01T10:45:31.7428514Z test_conv2d_transpose (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7428587Z t = torch.tensor(t) 2022-12-01T10:45:31.7428651Z ok (0.521s) 2022-12-01T10:45:31.7429072Z test_dequantize (jit.test_backend_nnapi.TestNnapiBackend) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/test_nnapi.py line 122 2022-12-01T10:45:31.7429135Z due to: 2022-12-01T10:45:31.7429213Z Traceback (most recent call last): 2022-12-01T10:45:31.7429383Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.7429507Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.7429585Z AssertionError: dtype 2022-12-01T10:45:31.7429591Z 2022-12-01T10:45:31.7429660Z from user code: 2022-12-01T10:45:31.7429826Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 123, in 2022-12-01T10:45:31.7429913Z nhwc(qpt([[[[1.0]], [[2.0]]]], 0.25, 2))) 2022-12-01T10:45:31.7429918Z 2022-12-01T10:45:31.7430047Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7430096Z ========== 2022-12-01T10:45:31.7430159Z ok (0.020s) 2022-12-01T10:45:31.7430299Z test_detach (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.024s) 2022-12-01T10:45:31.7430439Z test_flatten (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.095s) 2022-12-01T10:45:31.7430581Z test_hardtanh (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.056s) 2022-12-01T10:45:31.7430717Z test_linear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.045s) 2022-12-01T10:45:31.7431226Z test_log_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1190: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. 2022-12-01T10:45:31.7431319Z return forward_call(*input, **kwargs) 2022-12-01T10:45:31.7431690Z /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:443: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. 2022-12-01T10:45:31.7431796Z outs = wrap_retval(mod(*_clone_inputs(inputs))) 2022-12-01T10:45:31.7431859Z ok (0.038s) 2022-12-01T10:45:31.7432239Z test_max_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_max_pool2d /var/lib/jenkins/workspace/test/test_nnapi.py line 430 2022-12-01T10:45:31.7432302Z due to: 2022-12-01T10:45:31.7432422Z Traceback (most recent call last): 2022-12-01T10:45:31.7432591Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.7432713Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.7432780Z AssertionError: dtype 2022-12-01T10:45:31.7432786Z 2022-12-01T10:45:31.7432855Z from user code: 2022-12-01T10:45:31.7433002Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 431, in test_max_pool2d 2022-12-01T10:45:31.7433141Z for (name, inp) in self.float_and_quant_and_nhwc(torch.randn(2, 3, 12, 16), 0.3, 128): 2022-12-01T10:45:31.7433147Z 2022-12-01T10:45:31.7433276Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7433367Z ========== 2022-12-01T10:45:31.7433688Z /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7433765Z t = torch.tensor(t) 2022-12-01T10:45:31.7433818Z ok (0.568s) 2022-12-01T10:45:31.7433953Z test_mean (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.073s) 2022-12-01T10:45:31.7434331Z test_multi_output (jit.test_backend_nnapi.TestNnapiBackend) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MultiModel /var/lib/jenkins/workspace/test/test_nnapi.py line 673 2022-12-01T10:45:31.7434390Z due to: 2022-12-01T10:45:31.7434479Z Traceback (most recent call last): 2022-12-01T10:45:31.7434628Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7434712Z raise Unsupported(msg) 2022-12-01T10:45:31.7434836Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7434841Z 2022-12-01T10:45:31.7434899Z from user code: 2022-12-01T10:45:31.7435039Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 673, in MultiModel 2022-12-01T10:45:31.7435134Z class MultiModel(torch.nn.Module): 2022-12-01T10:45:31.7435141Z 2022-12-01T10:45:31.7435270Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7435331Z ========== 2022-12-01T10:45:31.7435394Z ok (0.014s) 2022-12-01T10:45:31.7435546Z test_pointwise_binary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.094s) 2022-12-01T10:45:31.7435703Z test_pointwise_binary_const (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.059s) 2022-12-01T10:45:31.7436084Z test_pointwise_unary (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7436159Z t = torch.tensor(t) 2022-12-01T10:45:31.7436221Z ok (0.040s) 2022-12-01T10:45:31.7436356Z test_prelu (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.091s) 2022-12-01T10:45:31.7436737Z test_qadd (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7436814Z t = torch.tensor(t) 2022-12-01T10:45:31.7436877Z ok (0.158s) 2022-12-01T10:45:31.7437252Z test_qlinear (jit.test_backend_nnapi.TestNnapiBackend) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_qlinear /var/lib/jenkins/workspace/test/test_nnapi.py line 651 2022-12-01T10:45:31.7437312Z due to: 2022-12-01T10:45:31.7437391Z Traceback (most recent call last): 2022-12-01T10:45:31.7437563Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.7437684Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.7437763Z AssertionError: dtype 2022-12-01T10:45:31.7437769Z 2022-12-01T10:45:31.7437835Z from user code: 2022-12-01T10:45:31.7438006Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 653, in test_qlinear 2022-12-01T10:45:31.7438121Z weight = qpt(torch.randn(16, 32), 0.125, 0, torch.qint8) 2022-12-01T10:45:31.7438127Z 2022-12-01T10:45:31.7438255Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7438304Z ========== 2022-12-01T10:45:31.7438621Z /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7438696Z t = torch.tensor(t) 2022-12-01T10:45:31.7438760Z ok (0.094s) 2022-12-01T10:45:31.7438939Z test_quantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.028s) 2022-12-01T10:45:31.7439084Z test_reshape (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.029s) 2022-12-01T10:45:31.7439227Z test_seblock_mul (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.013s) 2022-12-01T10:45:31.7439367Z test_slice (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.044s) 2022-12-01T10:45:31.7439852Z test_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1190: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. 2022-12-01T10:45:31.7439948Z return forward_call(*input, **kwargs) 2022-12-01T10:45:31.7440329Z /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:443: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. 2022-12-01T10:45:31.7440440Z outs = wrap_retval(mod(*_clone_inputs(inputs))) 2022-12-01T10:45:31.7440503Z ok (0.036s) 2022-12-01T10:45:31.7440646Z test_tensor_input (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.039s) 2022-12-01T10:45:31.7440779Z test_to (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.032s) 2022-12-01T10:45:31.7440921Z test_unsqueeze (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.051s) 2022-12-01T10:45:31.7441321Z test_upsample_nearest2d (jit.test_backend_nnapi.TestNnapiBackend) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_upsample_nearest2d /var/lib/jenkins/workspace/test/test_nnapi.py line 472 2022-12-01T10:45:31.7441385Z due to: 2022-12-01T10:45:31.7441473Z Traceback (most recent call last): 2022-12-01T10:45:31.7441644Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:45:31.7441764Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:45:31.7441843Z AssertionError: dtype 2022-12-01T10:45:31.7441849Z 2022-12-01T10:45:31.7441920Z from user code: 2022-12-01T10:45:31.7442073Z File "/var/lib/jenkins/workspace/test/test_nnapi.py", line 473, in test_upsample_nearest2d 2022-12-01T10:45:31.7442204Z convert_args = dict(self.float_and_quant_and_nhwc(torch.randn(2, 3, 0, 0), 0.3, 128)) 2022-12-01T10:45:31.7442222Z 2022-12-01T10:45:31.7442341Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7442405Z ========== 2022-12-01T10:45:31.7442721Z /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:45:31.7442796Z t = torch.tensor(t) 2022-12-01T10:45:31.7442861Z ok (0.327s) 2022-12-01T10:45:31.7443350Z test_op_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_op_decompositions.py line 18 2022-12-01T10:45:31.7443411Z due to: 2022-12-01T10:45:31.7443500Z Traceback (most recent call last): 2022-12-01T10:45:31.7443642Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7443893Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7444171Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7444176Z 2022-12-01T10:45:31.7444245Z from user code: 2022-12-01T10:45:31.7444441Z File "/var/lib/jenkins/workspace/test/jit/test_op_decompositions.py", line 19, in 2022-12-01T10:45:31.7444556Z FileCheck().check("aten::var").run(foo_s.graph) 2022-12-01T10:45:31.7444561Z 2022-12-01T10:45:31.7444686Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7444747Z ========== 2022-12-01T10:45:31.7444799Z ok (0.053s) 2022-12-01T10:45:31.7445346Z test_registered_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_op_decompositions.py line 30 2022-12-01T10:45:31.7445416Z due to: 2022-12-01T10:45:31.7445505Z Traceback (most recent call last): 2022-12-01T10:45:31.7445666Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7445783Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7446084Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7446089Z 2022-12-01T10:45:31.7446158Z from user code: 2022-12-01T10:45:31.7446363Z File "/var/lib/jenkins/workspace/test/jit/test_op_decompositions.py", line 34, in 2022-12-01T10:45:31.7446528Z torch.jit._register_decomposition(torch.ops.aten.square.default, square_decomp.graph) 2022-12-01T10:45:31.7446534Z 2022-12-01T10:45:31.7446660Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7446721Z ========== 2022-12-01T10:45:31.7446785Z ok (0.025s) 2022-12-01T10:45:31.7447164Z test_fuse_activation_with_pack_ops_linear_conv2d_1 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.065s) 2022-12-01T10:45:31.7447423Z test_fuse_activation_with_pack_ops_linear_conv2d_2 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.028s) 2022-12-01T10:45:31.7447679Z test_fuse_activation_with_pack_ops_linear_conv2d_3 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.027s) 2022-12-01T10:45:31.7447933Z test_fuse_activation_with_pack_ops_linear_conv2d_4 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.027s) 2022-12-01T10:45:31.7448199Z test_insert_pre_packed_linear_before_inline_and_conv_2d_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.018s) 2022-12-01T10:45:31.7448534Z test_insert_pre_packed_linear_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.024s) 2022-12-01T10:45:31.7448778Z test_replace_conv1d_with_conv2d (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.012s) 2022-12-01T10:45:31.7449207Z test_scriptable (jit.test_parametrization.TestParametrization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_parametrization.py line 19 2022-12-01T10:45:31.7449271Z due to: 2022-12-01T10:45:31.7449363Z Traceback (most recent call last): 2022-12-01T10:45:31.7449525Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:45:31.7449629Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:45:31.7449751Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:45:31.7449756Z 2022-12-01T10:45:31.7449824Z from user code: 2022-12-01T10:45:31.7449967Z File "/var/lib/jenkins/workspace/test/jit/test_parametrization.py", line 20, in forward 2022-12-01T10:45:31.7450113Z return X.triu() + X.triu(1).mT 2022-12-01T10:45:31.7450118Z 2022-12-01T10:45:31.7450246Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7450308Z ========== 2022-12-01T10:45:31.7450374Z ok (0.071s) 2022-12-01T10:45:31.7450523Z test_traceable (jit.test_parametrization.TestParametrization) 2022-12-01T10:45:31.7450950Z Test the jit scripting and tracing of a parametrized model. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_parametrization.py line 32 2022-12-01T10:45:31.7451014Z due to: 2022-12-01T10:45:31.7451093Z Traceback (most recent call last): 2022-12-01T10:45:31.7451354Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7451541Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7451735Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7451743Z 2022-12-01T10:45:31.7451810Z from user code: 2022-12-01T10:45:31.7451991Z File "/var/lib/jenkins/workspace/test/jit/test_parametrization.py", line 33, in 2022-12-01T10:45:31.7452067Z y_hat = traced_model(x) 2022-12-01T10:45:31.7452073Z 2022-12-01T10:45:31.7452201Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7452251Z ========== 2022-12-01T10:45:31.7452312Z ok (0.061s) 2022-12-01T10:45:31.7452454Z test_conv_dim_folding (jit.test_peephole.TestPeephole) ... ok (0.071s) 2022-12-01T10:45:31.7452891Z test_integer_refinement (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 451 2022-12-01T10:45:31.7452952Z due to: 2022-12-01T10:45:31.7453038Z Traceback (most recent call last): 2022-12-01T10:45:31.7453198Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7453306Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7453605Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7453610Z 2022-12-01T10:45:31.7453676Z from user code: 2022-12-01T10:45:31.7453856Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 457, in 2022-12-01T10:45:31.7453931Z graph = foo.graph 2022-12-01T10:45:31.7453937Z 2022-12-01T10:45:31.7454065Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7454127Z ========== 2022-12-01T10:45:31.7454475Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 447 2022-12-01T10:45:31.7454539Z due to: 2022-12-01T10:45:31.7454618Z Traceback (most recent call last): 2022-12-01T10:45:31.7454772Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7455018Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7455261Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7455266Z 2022-12-01T10:45:31.7455335Z from user code: 2022-12-01T10:45:31.7455526Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 448, in 2022-12-01T10:45:31.7455655Z FileCheck().check(const_string).check_next("return").run(graph) 2022-12-01T10:45:31.7455660Z 2022-12-01T10:45:31.7455790Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7455840Z ========== 2022-12-01T10:45:31.7455904Z ok (0.048s) 2022-12-01T10:45:31.7456042Z test_noop_peephole (jit.test_peephole.TestPeephole) ... ok (0.041s) 2022-12-01T10:45:31.7456472Z test_normalized_is_op (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 243 2022-12-01T10:45:31.7456568Z due to: 2022-12-01T10:45:31.7456657Z Traceback (most recent call last): 2022-12-01T10:45:31.7456816Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7456934Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7457220Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7457237Z 2022-12-01T10:45:31.7457324Z from user code: 2022-12-01T10:45:31.7457503Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 243, in 2022-12-01T10:45:31.7457624Z op_graph = torch.jit.script(convertible_is_op).graph 2022-12-01T10:45:31.7457629Z 2022-12-01T10:45:31.7457758Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7457819Z ========== 2022-12-01T10:45:31.7457882Z ok (0.015s) 2022-12-01T10:45:31.7458318Z test_normalized_isnot_op (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 253 2022-12-01T10:45:31.7458370Z due to: 2022-12-01T10:45:31.7458460Z Traceback (most recent call last): 2022-12-01T10:45:31.7458617Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7458735Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7459034Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7459039Z 2022-12-01T10:45:31.7459107Z from user code: 2022-12-01T10:45:31.7459286Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 253, in 2022-12-01T10:45:31.7459413Z op_graph = torch.jit.script(convertible_isnot_op).graph 2022-12-01T10:45:31.7459418Z 2022-12-01T10:45:31.7459544Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7459593Z ========== 2022-12-01T10:45:31.7459661Z ok (0.015s) 2022-12-01T10:45:31.7460089Z test_normalized_rsub (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 232 2022-12-01T10:45:31.7460152Z due to: 2022-12-01T10:45:31.7460239Z Traceback (most recent call last): 2022-12-01T10:45:31.7460399Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7460517Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7460811Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7460819Z 2022-12-01T10:45:31.7460875Z from user code: 2022-12-01T10:45:31.7461050Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 232, in 2022-12-01T10:45:31.7461172Z op_graph = torch.jit.script(convertible_rsub).graph 2022-12-01T10:45:31.7461177Z 2022-12-01T10:45:31.7461304Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7461366Z ========== 2022-12-01T10:45:31.7461430Z ok (0.026s) 2022-12-01T10:45:31.7461591Z test_optimize_out_comparison_same_value (jit.test_peephole.TestPeephole) ... ok (0.011s) 2022-12-01T10:45:31.7461997Z test_peephole (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 63 2022-12-01T10:45:31.7462049Z due to: 2022-12-01T10:45:31.7462139Z Traceback (most recent call last): 2022-12-01T10:45:31.7462292Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7462568Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7462812Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7462817Z 2022-12-01T10:45:31.7462883Z from user code: 2022-12-01T10:45:31.7463053Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 64, in 2022-12-01T10:45:31.7463161Z FileCheck().check("type_as").run(str(tf.graph)) 2022-12-01T10:45:31.7463166Z 2022-12-01T10:45:31.7463313Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7463376Z ========== 2022-12-01T10:45:31.7463439Z ok (0.022s) 2022-12-01T10:45:31.7463874Z test_peephole_add_zero (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 538 2022-12-01T10:45:31.7463940Z due to: 2022-12-01T10:45:31.7464032Z Traceback (most recent call last): 2022-12-01T10:45:31.7464191Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7464310Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7464596Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7464612Z 2022-12-01T10:45:31.7464669Z from user code: 2022-12-01T10:45:31.7464842Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 541, in 2022-12-01T10:45:31.7464944Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7464950Z 2022-12-01T10:45:31.7465078Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7465139Z ========== 2022-12-01T10:45:31.7465204Z ok (0.010s) 2022-12-01T10:45:31.7465630Z test_peephole_arith (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 661 2022-12-01T10:45:31.7465682Z due to: 2022-12-01T10:45:31.7465771Z Traceback (most recent call last): 2022-12-01T10:45:31.7465925Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7466170Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7466413Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7466419Z 2022-12-01T10:45:31.7466490Z from user code: 2022-12-01T10:45:31.7466666Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 668, in 2022-12-01T10:45:31.7466783Z FileCheck().check("aten::add").check("aten::sub") \ 2022-12-01T10:45:31.7466790Z 2022-12-01T10:45:31.7466919Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7466969Z ========== 2022-12-01T10:45:31.7467033Z ok (0.013s) 2022-12-01T10:45:31.7467202Z test_peephole_cuda (jit.test_peephole.TestPeephole) ... skip: cpp tests require CUDA (0.001s) 2022-12-01T10:45:31.7467740Z test_peephole_dict_getitem_no_optimization_dict_modified (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 732 2022-12-01T10:45:31.7467803Z due to: 2022-12-01T10:45:31.7467892Z Traceback (most recent call last): 2022-12-01T10:45:31.7468051Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7468169Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7468453Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7468496Z 2022-12-01T10:45:31.7468562Z from user code: 2022-12-01T10:45:31.7468776Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 738, in 2022-12-01T10:45:31.7468876Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7468882Z 2022-12-01T10:45:31.7469009Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7469069Z ========== 2022-12-01T10:45:31.7469134Z ok (0.010s) 2022-12-01T10:45:31.7469703Z test_peephole_dict_getitem_no_optimization_get_input_arg (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 723 2022-12-01T10:45:31.7469768Z due to: 2022-12-01T10:45:31.7469846Z Traceback (most recent call last): 2022-12-01T10:45:31.7470004Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7470123Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7470421Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7470426Z 2022-12-01T10:45:31.7470493Z from user code: 2022-12-01T10:45:31.7470709Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 727, in 2022-12-01T10:45:31.7470811Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7470817Z 2022-12-01T10:45:31.7470946Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7470995Z ========== 2022-12-01T10:45:31.7471060Z ok (0.010s) 2022-12-01T10:45:31.7471620Z test_peephole_dict_getitem_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 753 2022-12-01T10:45:31.7471687Z due to: 2022-12-01T10:45:31.7471776Z Traceback (most recent call last): 2022-12-01T10:45:31.7471935Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7472051Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7472348Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7472353Z 2022-12-01T10:45:31.7472409Z from user code: 2022-12-01T10:45:31.7472631Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 757, in 2022-12-01T10:45:31.7472730Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7472735Z 2022-12-01T10:45:31.7472862Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7472924Z ========== 2022-12-01T10:45:31.7472989Z ok (0.009s) 2022-12-01T10:45:31.7473516Z test_peephole_dict_getitem_no_optimization_missing_key (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 711 2022-12-01T10:45:31.7473579Z due to: 2022-12-01T10:45:31.7473668Z Traceback (most recent call last): 2022-12-01T10:45:31.7473815Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7473934Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7474229Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7474234Z 2022-12-01T10:45:31.7474301Z from user code: 2022-12-01T10:45:31.7474513Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 716, in 2022-12-01T10:45:31.7474641Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7474646Z 2022-12-01T10:45:31.7474772Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7474832Z ========== 2022-12-01T10:45:31.7474885Z ok (0.009s) 2022-12-01T10:45:31.7475441Z test_peephole_dict_getitem_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 743 2022-12-01T10:45:31.7475534Z due to: 2022-12-01T10:45:31.7475625Z Traceback (most recent call last): 2022-12-01T10:45:31.7475782Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7475897Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7476194Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7476199Z 2022-12-01T10:45:31.7476266Z from user code: 2022-12-01T10:45:31.7476482Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 748, in 2022-12-01T10:45:31.7476569Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7476573Z 2022-12-01T10:45:31.7476699Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7476758Z ========== 2022-12-01T10:45:31.7476822Z ok (0.009s) 2022-12-01T10:45:31.7477374Z test_peephole_dict_getitem_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 761 2022-12-01T10:45:31.7477438Z due to: 2022-12-01T10:45:31.7477525Z Traceback (most recent call last): 2022-12-01T10:45:31.7477684Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7477789Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7478086Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7478091Z 2022-12-01T10:45:31.7478158Z from user code: 2022-12-01T10:45:31.7478375Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 767, in 2022-12-01T10:45:31.7478475Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7478480Z 2022-12-01T10:45:31.7478607Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7478668Z ========== 2022-12-01T10:45:31.7478732Z ok (0.011s) 2022-12-01T10:45:31.7479185Z test_peephole_dict_getitem_simple (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 678 2022-12-01T10:45:31.7479252Z due to: 2022-12-01T10:45:31.7479341Z Traceback (most recent call last): 2022-12-01T10:45:31.7479501Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7479617Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7479909Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7479914Z 2022-12-01T10:45:31.7479983Z from user code: 2022-12-01T10:45:31.7480170Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 684, in 2022-12-01T10:45:31.7480268Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7480273Z 2022-12-01T10:45:31.7480420Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7480483Z ========== 2022-12-01T10:45:31.7480547Z ok (0.019s) 2022-12-01T10:45:31.7480976Z test_peephole_dict_len (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 772 2022-12-01T10:45:31.7481039Z due to: 2022-12-01T10:45:31.7481126Z Traceback (most recent call last): 2022-12-01T10:45:31.7481285Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7481390Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7481721Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7481727Z 2022-12-01T10:45:31.7481794Z from user code: 2022-12-01T10:45:31.7481972Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 777, in 2022-12-01T10:45:31.7482069Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7482074Z 2022-12-01T10:45:31.7482200Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7482260Z ========== 2022-12-01T10:45:31.7482322Z ok (0.009s) 2022-12-01T10:45:31.7482866Z test_peephole_dict_len_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 793 2022-12-01T10:45:31.7482918Z due to: 2022-12-01T10:45:31.7483009Z Traceback (most recent call last): 2022-12-01T10:45:31.7483168Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7483281Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7483578Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7483586Z 2022-12-01T10:45:31.7483653Z from user code: 2022-12-01T10:45:31.7483868Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 797, in 2022-12-01T10:45:31.7483968Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7483973Z 2022-12-01T10:45:31.7484101Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7484165Z ========== 2022-12-01T10:45:31.7484229Z ok (0.010s) 2022-12-01T10:45:31.7484776Z test_peephole_dict_len_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 782 2022-12-01T10:45:31.7484827Z due to: 2022-12-01T10:45:31.7484920Z Traceback (most recent call last): 2022-12-01T10:45:31.7485082Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7485198Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7485595Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7485601Z 2022-12-01T10:45:31.7485671Z from user code: 2022-12-01T10:45:31.7485889Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 787, in 2022-12-01T10:45:31.7485988Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7485993Z 2022-12-01T10:45:31.7486111Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7486173Z ========== 2022-12-01T10:45:31.7486235Z ok (0.010s) 2022-12-01T10:45:31.7486779Z test_peephole_dict_len_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 801 2022-12-01T10:45:31.7486881Z due to: 2022-12-01T10:45:31.7487079Z Traceback (most recent call last): 2022-12-01T10:45:31.7487241Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7487358Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7487643Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7487661Z 2022-12-01T10:45:31.7487719Z from user code: 2022-12-01T10:45:31.7487987Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 807, in 2022-12-01T10:45:31.7488088Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7488093Z 2022-12-01T10:45:31.7488219Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7488282Z ========== 2022-12-01T10:45:31.7488417Z ok (0.010s) 2022-12-01T10:45:31.7488849Z test_peephole_dynamic (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 76 2022-12-01T10:45:31.7488914Z due to: 2022-12-01T10:45:31.7488992Z Traceback (most recent call last): 2022-12-01T10:45:31.7489150Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7489268Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7489570Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7489576Z 2022-12-01T10:45:31.7489645Z from user code: 2022-12-01T10:45:31.7489826Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 77, in 2022-12-01T10:45:31.7489903Z s = str(fn.graph) 2022-12-01T10:45:31.7489908Z 2022-12-01T10:45:31.7490033Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7490083Z ========== 2022-12-01T10:45:31.7490149Z ok (0.009s) 2022-12-01T10:45:31.7490568Z test_peephole_int (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 649 2022-12-01T10:45:31.7490633Z due to: 2022-12-01T10:45:31.7490723Z Traceback (most recent call last): 2022-12-01T10:45:31.7490878Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7491128Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7491373Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7491380Z 2022-12-01T10:45:31.7491438Z from user code: 2022-12-01T10:45:31.7491614Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 654, in 2022-12-01T10:45:31.7491726Z FileCheck().check("aten::Int").run(foo.graph) 2022-12-01T10:45:31.7491731Z 2022-12-01T10:45:31.7491859Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7491918Z ========== 2022-12-01T10:45:31.7491978Z ok (0.010s) 2022-12-01T10:45:31.7492408Z test_peephole_len_list (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 612 2022-12-01T10:45:31.7492474Z due to: 2022-12-01T10:45:31.7492551Z Traceback (most recent call last): 2022-12-01T10:45:31.7492709Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7492826Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7493174Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7493179Z 2022-12-01T10:45:31.7493245Z from user code: 2022-12-01T10:45:31.7493421Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 616, in 2022-12-01T10:45:31.7493519Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7493525Z 2022-12-01T10:45:31.7493652Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7493700Z ========== 2022-12-01T10:45:31.7493764Z ok (0.016s) 2022-12-01T10:45:31.7494217Z test_peephole_list_len (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 267 2022-12-01T10:45:31.7494281Z due to: 2022-12-01T10:45:31.7494372Z Traceback (most recent call last): 2022-12-01T10:45:31.7494530Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7494650Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7494951Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7494956Z 2022-12-01T10:45:31.7495013Z from user code: 2022-12-01T10:45:31.7495190Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 273, in 2022-12-01T10:45:31.7495314Z run_peephole_and_check_const_value(foo.graph, "value=9") 2022-12-01T10:45:31.7495320Z 2022-12-01T10:45:31.7495446Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7495508Z ========== 2022-12-01T10:45:31.7495851Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 260 2022-12-01T10:45:31.7495914Z due to: 2022-12-01T10:45:31.7496002Z Traceback (most recent call last): 2022-12-01T10:45:31.7496144Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7496386Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7496627Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7496632Z 2022-12-01T10:45:31.7496701Z from user code: 2022-12-01T10:45:31.7496890Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 261, in 2022-12-01T10:45:31.7497017Z FileCheck().check(const_string).check_next("return").run(graph) 2022-12-01T10:45:31.7497023Z 2022-12-01T10:45:31.7497149Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7497211Z ========== 2022-12-01T10:45:31.7497271Z ok (0.102s) 2022-12-01T10:45:31.7497690Z test_peephole_list_ops (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 82 2022-12-01T10:45:31.7497753Z due to: 2022-12-01T10:45:31.7497841Z Traceback (most recent call last): 2022-12-01T10:45:31.7498002Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7498120Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7498416Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7498421Z 2022-12-01T10:45:31.7498489Z from user code: 2022-12-01T10:45:31.7498669Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 86, in 2022-12-01T10:45:31.7498794Z self.run_pass('peephole', foo.graph) 2022-12-01T10:45:31.7498810Z 2022-12-01T10:45:31.7498926Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7499018Z ========== 2022-12-01T10:45:31.7499083Z ok (0.022s) 2022-12-01T10:45:31.7499545Z test_peephole_no_output_aliasing (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 52 2022-12-01T10:45:31.7499605Z due to: 2022-12-01T10:45:31.7499694Z Traceback (most recent call last): 2022-12-01T10:45:31.7499846Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7500080Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7500301Z AssertionError: torch.* op returned non-Tensor int call_method data_ptr 2022-12-01T10:45:31.7500307Z 2022-12-01T10:45:31.7500376Z from user code: 2022-12-01T10:45:31.7500564Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 53, in 2022-12-01T10:45:31.7500682Z self.assertNotEqual(r1.data_ptr(), r2.data_ptr()) 2022-12-01T10:45:31.7500687Z 2022-12-01T10:45:31.7500815Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7500876Z ========== 2022-12-01T10:45:31.7500938Z ok (0.024s) 2022-12-01T10:45:31.7501388Z test_peephole_optional_refine (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 638 2022-12-01T10:45:31.7501447Z due to: 2022-12-01T10:45:31.7501539Z Traceback (most recent call last): 2022-12-01T10:45:31.7501701Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7501819Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7502116Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7502124Z 2022-12-01T10:45:31.7502192Z from user code: 2022-12-01T10:45:31.7502378Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 643, in 2022-12-01T10:45:31.7502497Z out = next(foo.graph.findNode("prim::If").outputs()) 2022-12-01T10:45:31.7502502Z 2022-12-01T10:45:31.7502617Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7502677Z ========== 2022-12-01T10:45:31.7502741Z ok (0.010s) 2022-12-01T10:45:31.7503218Z test_peephole_slice_all_three_args (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 815 2022-12-01T10:45:31.7503281Z due to: 2022-12-01T10:45:31.7503370Z Traceback (most recent call last): 2022-12-01T10:45:31.7503530Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7503646Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7503930Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7503935Z 2022-12-01T10:45:31.7504002Z from user code: 2022-12-01T10:45:31.7504191Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 815, in 2022-12-01T10:45:31.7504288Z graph = torch.jit.script(foo).graph 2022-12-01T10:45:31.7504293Z 2022-12-01T10:45:31.7504420Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7504479Z ========== 2022-12-01T10:45:31.7504545Z ok (0.011s) 2022-12-01T10:45:31.7504979Z test_peephole_slice_one_empty_arg (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 822 2022-12-01T10:45:31.7505029Z due to: 2022-12-01T10:45:31.7505147Z Traceback (most recent call last): 2022-12-01T10:45:31.7505308Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7505427Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7505723Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7505728Z 2022-12-01T10:45:31.7505796Z from user code: 2022-12-01T10:45:31.7505965Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 822, in 2022-12-01T10:45:31.7506059Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.7506126Z 2022-12-01T10:45:31.7506256Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7506305Z ========== 2022-12-01T10:45:31.7506369Z ok (0.049s) 2022-12-01T10:45:31.7506918Z test_peephole_slice_optimization_not_applied_list_modified (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 865 2022-12-01T10:45:31.7506986Z due to: 2022-12-01T10:45:31.7507074Z Traceback (most recent call last): 2022-12-01T10:45:31.7507234Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7507352Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7507637Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7507655Z 2022-12-01T10:45:31.7507714Z from user code: 2022-12-01T10:45:31.7507929Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 871, in 2022-12-01T10:45:31.7508030Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7508036Z 2022-12-01T10:45:31.7508165Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7508228Z ========== 2022-12-01T10:45:31.7508293Z ok (0.010s) 2022-12-01T10:45:31.7508847Z test_peephole_slice_optimization_not_applied_non_const_args (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 876 2022-12-01T10:45:31.7508911Z due to: 2022-12-01T10:45:31.7508988Z Traceback (most recent call last): 2022-12-01T10:45:31.7509149Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7509267Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7509562Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7509566Z 2022-12-01T10:45:31.7509634Z from user code: 2022-12-01T10:45:31.7509853Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 880, in 2022-12-01T10:45:31.7509949Z self.run_pass("peephole", foo.graph) 2022-12-01T10:45:31.7509954Z 2022-12-01T10:45:31.7510082Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7510143Z ========== 2022-12-01T10:45:31.7510197Z ok (0.010s) 2022-12-01T10:45:31.7510631Z test_peephole_slice_two_empty_args (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 844 2022-12-01T10:45:31.7510698Z due to: 2022-12-01T10:45:31.7510787Z Traceback (most recent call last): 2022-12-01T10:45:31.7510941Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7511057Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7511383Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7511387Z 2022-12-01T10:45:31.7511457Z from user code: 2022-12-01T10:45:31.7511614Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 844, in 2022-12-01T10:45:31.7511710Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.7511715Z 2022-12-01T10:45:31.7511839Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7511901Z ========== 2022-12-01T10:45:31.7511963Z ok (0.048s) 2022-12-01T10:45:31.7512449Z test_peephole_type_refinements (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 150 2022-12-01T10:45:31.7512514Z due to: 2022-12-01T10:45:31.7512603Z Traceback (most recent call last): 2022-12-01T10:45:31.7512745Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7512998Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7513240Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7513245Z 2022-12-01T10:45:31.7513310Z from user code: 2022-12-01T10:45:31.7513499Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 154, in 2022-12-01T10:45:31.7513627Z FileCheck().check("prim::unchecked_cast").run(test.graph) 2022-12-01T10:45:31.7513633Z 2022-12-01T10:45:31.7513763Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7513823Z ========== 2022-12-01T10:45:31.7513875Z ok (0.027s) 2022-12-01T10:45:31.7514033Z test_peephole_with_non_output_writes (jit.test_peephole.TestPeephole) ... ok (0.030s) 2022-12-01T10:45:31.7514179Z test_peephole_with_writes (jit.test_peephole.TestPeephole) ... ok (0.017s) 2022-12-01T10:45:31.7514620Z test_refine_integer_values (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 597 2022-12-01T10:45:31.7514681Z due to: 2022-12-01T10:45:31.7514769Z Traceback (most recent call last): 2022-12-01T10:45:31.7514930Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7515046Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7515332Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7515348Z 2022-12-01T10:45:31.7515405Z from user code: 2022-12-01T10:45:31.7515585Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 604, in 2022-12-01T10:45:31.7515701Z self.run_pass("refine_integer_values", foo.graph) 2022-12-01T10:45:31.7515705Z 2022-12-01T10:45:31.7515831Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7515891Z ========== 2022-12-01T10:45:31.7515956Z ok (0.011s) 2022-12-01T10:45:31.7516418Z test_short_circuit_optimization (jit.test_peephole.TestPeephole) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_peephole.py line 173 2022-12-01T10:45:31.7516481Z due to: 2022-12-01T10:45:31.7516559Z Traceback (most recent call last): 2022-12-01T10:45:31.7516718Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7516835Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7517131Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7517136Z 2022-12-01T10:45:31.7517233Z from user code: 2022-12-01T10:45:31.7517423Z File "/var/lib/jenkins/workspace/test/jit/test_peephole.py", line 177, in 2022-12-01T10:45:31.7517614Z self.run_pass('constant_propagation', const_expressions.graph) 2022-12-01T10:45:31.7517620Z 2022-12-01T10:45:31.7517748Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7517797Z ========== 2022-12-01T10:45:31.7517864Z ok (0.014s) 2022-12-01T10:45:31.7517989Z test_version (__main__.TestProducerVersion) ... ok (0.009s) 2022-12-01T10:45:31.7518387Z test_aliasing_merge (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT setUp /var/lib/jenkins/workspace/test/jit/test_profiler.py line 19 2022-12-01T10:45:31.7518450Z due to: 2022-12-01T10:45:31.7518540Z Traceback (most recent call last): 2022-12-01T10:45:31.7518691Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7518939Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7519255Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.7519260Z 2022-12-01T10:45:31.7519330Z from user code: 2022-12-01T10:45:31.7519470Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 20, in setUp 2022-12-01T10:45:31.7519594Z self.prev_exec = torch._C._jit_set_profiling_executor(True) 2022-12-01T10:45:31.7519599Z 2022-12-01T10:45:31.7519726Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7519787Z ========== 2022-12-01T10:45:31.7520107Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 142 2022-12-01T10:45:31.7520169Z due to: 2022-12-01T10:45:31.7520248Z Traceback (most recent call last): 2022-12-01T10:45:31.7520401Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7520643Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7520976Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7520982Z 2022-12-01T10:45:31.7521052Z from user code: 2022-12-01T10:45:31.7521224Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 143, in 2022-12-01T10:45:31.7521334Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7521341Z 2022-12-01T10:45:31.7521469Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7521531Z ========== 2022-12-01T10:45:31.7521796Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tearDown /var/lib/jenkins/workspace/test/jit/test_profiler.py line 35 2022-12-01T10:45:31.7521860Z due to: 2022-12-01T10:45:31.7521950Z Traceback (most recent call last): 2022-12-01T10:45:31.7522100Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7522343Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7522662Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.7522668Z 2022-12-01T10:45:31.7522739Z from user code: 2022-12-01T10:45:31.7522884Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 36, in tearDown 2022-12-01T10:45:31.7522992Z torch._C._jit_set_profiling_executor(self.prev_exec) 2022-12-01T10:45:31.7522997Z 2022-12-01T10:45:31.7523121Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7523185Z ========== 2022-12-01T10:45:31.7523248Z ok (0.073s) 2022-12-01T10:45:31.7523732Z test_autograd_fallback_graph (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 217 2022-12-01T10:45:31.7523794Z due to: 2022-12-01T10:45:31.7523883Z Traceback (most recent call last): 2022-12-01T10:45:31.7524036Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7524270Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7524649Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7524656Z 2022-12-01T10:45:31.7524724Z from user code: 2022-12-01T10:45:31.7524905Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 219, in 2022-12-01T10:45:31.7525013Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7525021Z 2022-12-01T10:45:31.7525150Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7525211Z ========== 2022-12-01T10:45:31.7525277Z ok (0.072s) 2022-12-01T10:45:31.7525737Z test_fallback_graph_not_specialized (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 200 2022-12-01T10:45:31.7525802Z due to: 2022-12-01T10:45:31.7525889Z Traceback (most recent call last): 2022-12-01T10:45:31.7526042Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7526290Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7526624Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7526632Z 2022-12-01T10:45:31.7526699Z from user code: 2022-12-01T10:45:31.7526892Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 201, in 2022-12-01T10:45:31.7527123Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7527129Z 2022-12-01T10:45:31.7527246Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7527310Z ========== 2022-12-01T10:45:31.7527377Z ok (0.040s) 2022-12-01T10:45:31.7527805Z test_iterative_fusion (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 264 2022-12-01T10:45:31.7527869Z due to: 2022-12-01T10:45:31.7527963Z Traceback (most recent call last): 2022-12-01T10:45:31.7528116Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7528442Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7528770Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7528789Z 2022-12-01T10:45:31.7528847Z from user code: 2022-12-01T10:45:31.7529023Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 271, in 2022-12-01T10:45:31.7529132Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7529138Z 2022-12-01T10:45:31.7529265Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7529326Z ========== 2022-12-01T10:45:31.7529395Z ok (0.064s) 2022-12-01T10:45:31.7529837Z test_local_fusion_strategy (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 236 2022-12-01T10:45:31.7529957Z due to: 2022-12-01T10:45:31.7530035Z Traceback (most recent call last): 2022-12-01T10:45:31.7530189Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7530434Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7530670Z AssertionError: torch.* op returned non-Tensor str call_function 2022-12-01T10:45:31.7530676Z 2022-12-01T10:45:31.7530744Z from user code: 2022-12-01T10:45:31.7530926Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 240, in 2022-12-01T10:45:31.7531072Z torch.jit.set_fusion_strategy([("STATIC", 1)]) 2022-12-01T10:45:31.7531077Z 2022-12-01T10:45:31.7531205Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7531255Z ========== 2022-12-01T10:45:31.7531321Z ok (0.032s) 2022-12-01T10:45:31.7531758Z test_not_fusing_scalar_ops (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 172 2022-12-01T10:45:31.7531823Z due to: 2022-12-01T10:45:31.7531914Z Traceback (most recent call last): 2022-12-01T10:45:31.7532068Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7532309Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7532643Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7532649Z 2022-12-01T10:45:31.7532705Z from user code: 2022-12-01T10:45:31.7532886Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 173, in 2022-12-01T10:45:31.7532994Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7533001Z 2022-12-01T10:45:31.7533127Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7533187Z ========== 2022-12-01T10:45:31.7533248Z ok (0.014s) 2022-12-01T10:45:31.7533695Z test_not_optimizing_property (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 183 2022-12-01T10:45:31.7533758Z due to: 2022-12-01T10:45:31.7533835Z Traceback (most recent call last): 2022-12-01T10:45:31.7533987Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7534233Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7534566Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7534574Z 2022-12-01T10:45:31.7534641Z from user code: 2022-12-01T10:45:31.7534827Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 184, in 2022-12-01T10:45:31.7534937Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7534942Z 2022-12-01T10:45:31.7535069Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7535129Z ========== 2022-12-01T10:45:31.7535182Z ok (0.046s) 2022-12-01T10:45:31.7535626Z test_specialize_backward (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 86 2022-12-01T10:45:31.7535691Z due to: 2022-12-01T10:45:31.7535781Z Traceback (most recent call last): 2022-12-01T10:45:31.7535933Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7536179Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7536546Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7536551Z 2022-12-01T10:45:31.7536621Z from user code: 2022-12-01T10:45:31.7536791Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 87, in 2022-12-01T10:45:31.7536899Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7536903Z 2022-12-01T10:45:31.7537030Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7537091Z ========== 2022-12-01T10:45:31.7537186Z ok (0.141s) 2022-12-01T10:45:31.7537332Z test_specialized_types (jit.test_profiler.TestProfiler) ... ok (0.032s) 2022-12-01T10:45:31.7537749Z test_tensor_constant (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 231 2022-12-01T10:45:31.7537814Z due to: 2022-12-01T10:45:31.7537893Z Traceback (most recent call last): 2022-12-01T10:45:31.7538044Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7538291Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7538624Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7538631Z 2022-12-01T10:45:31.7538701Z from user code: 2022-12-01T10:45:31.7538879Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 232, in 2022-12-01T10:45:31.7538990Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7538995Z 2022-12-01T10:45:31.7539123Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7539185Z ========== 2022-12-01T10:45:31.7539238Z ok (0.058s) 2022-12-01T10:45:31.7539720Z test_tensor_type_not_determined_by_inputs (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 54 2022-12-01T10:45:31.7539784Z due to: 2022-12-01T10:45:31.7539872Z Traceback (most recent call last): 2022-12-01T10:45:31.7540028Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7540280Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7540613Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7540619Z 2022-12-01T10:45:31.7540687Z from user code: 2022-12-01T10:45:31.7540881Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 55, in 2022-12-01T10:45:31.7540981Z g = torch.jit.last_executed_optimized_graph() 2022-12-01T10:45:31.7540986Z 2022-12-01T10:45:31.7541113Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7541174Z ========== 2022-12-01T10:45:31.7541237Z ok (0.082s) 2022-12-01T10:45:31.7541656Z test_use_not_profiled (jit.test_profiler.TestProfiler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_profiler.py line 157 2022-12-01T10:45:31.7541720Z due to: 2022-12-01T10:45:31.7541810Z Traceback (most recent call last): 2022-12-01T10:45:31.7541952Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7542196Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7542515Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:45:31.7542552Z 2022-12-01T10:45:31.7542621Z from user code: 2022-12-01T10:45:31.7542797Z File "/var/lib/jenkins/workspace/test/jit/test_profiler.py", line 158, in 2022-12-01T10:45:31.7542916Z for _ in range(torch._C._jit_get_num_profiled_runs() + 1): 2022-12-01T10:45:31.7542921Z 2022-12-01T10:45:31.7543050Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7543112Z ========== 2022-12-01T10:45:31.7543177Z ok (0.040s) 2022-12-01T10:45:31.7543624Z test_aliasdb (jit.test_python_bindings.TestPythonBindings) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_bindings.py line 74 2022-12-01T10:45:31.7543690Z due to: 2022-12-01T10:45:31.7543780Z Traceback (most recent call last): 2022-12-01T10:45:31.7543938Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7544058Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7544355Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7544361Z 2022-12-01T10:45:31.7544429Z from user code: 2022-12-01T10:45:31.7544604Z File "/var/lib/jenkins/workspace/test/jit/test_python_bindings.py", line 77, in 2022-12-01T10:45:31.7544687Z gr = test_aliasdb_fn.graph.copy() 2022-12-01T10:45:31.7544703Z 2022-12-01T10:45:31.7544817Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7544879Z ========== 2022-12-01T10:45:31.7544943Z ok (0.010s) 2022-12-01T10:45:31.7545365Z test_canonicalize (jit.test_python_bindings.TestPythonBindings) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_canonicalize /var/lib/jenkins/workspace/test/jit/test_python_bindings.py line 87 2022-12-01T10:45:31.7545430Z due to: 2022-12-01T10:45:31.7545517Z Traceback (most recent call last): 2022-12-01T10:45:31.7545669Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7545903Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7546202Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7546208Z 2022-12-01T10:45:31.7546275Z from user code: 2022-12-01T10:45:31.7546440Z File "/var/lib/jenkins/workspace/test/jit/test_python_bindings.py", line 99, in test_canonicalize 2022-12-01T10:45:31.7546535Z graph1 = torch._C.parse_ir(ir) 2022-12-01T10:45:31.7546540Z 2022-12-01T10:45:31.7546668Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7546729Z ========== 2022-12-01T10:45:31.7546793Z ok (0.004s) 2022-12-01T10:45:31.7547252Z test_cu_create_function (jit.test_python_bindings.TestPythonBindings) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_bindings.py line 28 2022-12-01T10:45:31.7547312Z due to: 2022-12-01T10:45:31.7547402Z Traceback (most recent call last): 2022-12-01T10:45:31.7547554Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7547799Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7548078Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7548085Z 2022-12-01T10:45:31.7548154Z from user code: 2022-12-01T10:45:31.7548340Z File "/var/lib/jenkins/workspace/test/jit/test_python_bindings.py", line 31, in 2022-12-01T10:45:31.7548433Z cu = torch._C.CompilationUnit() 2022-12-01T10:45:31.7548471Z 2022-12-01T10:45:31.7548590Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7548649Z ========== 2022-12-01T10:45:31.7548713Z ok (0.012s) 2022-12-01T10:45:31.7549173Z test_cu_get_functions (jit.test_python_bindings.TestPythonBindings) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_bindings.py line 23 2022-12-01T10:45:31.7549236Z due to: 2022-12-01T10:45:31.7549327Z Traceback (most recent call last): 2022-12-01T10:45:31.7549486Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7549630Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7549918Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7549923Z 2022-12-01T10:45:31.7549991Z from user code: 2022-12-01T10:45:31.7550175Z File "/var/lib/jenkins/workspace/test/jit/test_python_bindings.py", line 23, in 2022-12-01T10:45:31.7550308Z "test_get_python_cu_fn" in (str(fn.name) for fn in cu.get_functions()) 2022-12-01T10:45:31.7550313Z 2022-12-01T10:45:31.7550442Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7550507Z ========== 2022-12-01T10:45:31.7550572Z ok (1.068s) 2022-12-01T10:45:31.7550993Z test_graph_create (jit.test_python_bindings.TestPythonBindings) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_graph_create /var/lib/jenkins/workspace/test/jit/test_python_bindings.py line 82 2022-12-01T10:45:31.7551043Z due to: 2022-12-01T10:45:31.7551136Z Traceback (most recent call last): 2022-12-01T10:45:31.7551289Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7551534Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7551764Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7551770Z 2022-12-01T10:45:31.7551837Z from user code: 2022-12-01T10:45:31.7552003Z File "/var/lib/jenkins/workspace/test/jit/test_python_bindings.py", line 83, in test_graph_create 2022-12-01T10:45:31.7552079Z gr = torch._C.Graph() 2022-12-01T10:45:31.7552084Z 2022-12-01T10:45:31.7552214Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7552264Z ========== 2022-12-01T10:45:31.7552327Z ok (0.004s) 2022-12-01T10:45:31.7552812Z test_graph_iterator_keepalive (jit.test_python_bindings.TestPythonBindings) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_bindings.py line 60 2022-12-01T10:45:31.7552878Z due to: 2022-12-01T10:45:31.7552967Z Traceback (most recent call last): 2022-12-01T10:45:31.7553126Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7553244Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7553532Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7553549Z 2022-12-01T10:45:31.7553605Z from user code: 2022-12-01T10:45:31.7553798Z File "/var/lib/jenkins/workspace/test/jit/test_python_bindings.py", line 65, in 2022-12-01T10:45:31.7553917Z n = test_iterator_keepalive_fn.inlined_graph.nodes() 2022-12-01T10:45:31.7553922Z 2022-12-01T10:45:31.7554050Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7554114Z ========== 2022-12-01T10:45:31.7554178Z ok (0.009s) 2022-12-01T10:45:31.7554626Z test_invalidation (jit.test_python_bindings.TestPythonBindings) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_bindings.py line 44 2022-12-01T10:45:31.7554722Z due to: 2022-12-01T10:45:31.7554801Z Traceback (most recent call last): 2022-12-01T10:45:31.7554961Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7555079Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7555377Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7555382Z 2022-12-01T10:45:31.7555449Z from user code: 2022-12-01T10:45:31.7555630Z File "/var/lib/jenkins/workspace/test/jit/test_python_bindings.py", line 47, in 2022-12-01T10:45:31.7555760Z gr = test_invalidation_fn.graph.copy() 2022-12-01T10:45:31.7555766Z 2022-12-01T10:45:31.7555895Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7555944Z ========== 2022-12-01T10:45:31.7556007Z ok (0.011s) 2022-12-01T10:45:31.7556156Z test_add (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.022s) 2022-12-01T10:45:31.7556317Z test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.088s) 2022-12-01T10:45:31.7556766Z test_advancedindex (jit.test_python_builtins.TestPythonBuiltinOP) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_builtins.py line 263 2022-12-01T10:45:31.7556828Z due to: 2022-12-01T10:45:31.7556916Z Traceback (most recent call last): 2022-12-01T10:45:31.7557078Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7557139Z assert not kwargs 2022-12-01T10:45:31.7557213Z AssertionError 2022-12-01T10:45:31.7557218Z 2022-12-01T10:45:31.7557287Z from user code: 2022-12-01T10:45:31.7557463Z File "/var/lib/jenkins/workspace/test/jit/test_python_builtins.py", line 273, in 2022-12-01T10:45:31.7557599Z self._check_code(template.format(formals=formals, expr=indexing), 2022-12-01T10:45:31.7557606Z 2022-12-01T10:45:31.7557732Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7557790Z ========== 2022-12-01T10:45:31.7558104Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_builtins.py line 151 2022-12-01T10:45:31.7558156Z due to: 2022-12-01T10:45:31.7558242Z Traceback (most recent call last): 2022-12-01T10:45:31.7558394Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7558642Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7558919Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7558924Z 2022-12-01T10:45:31.7558992Z from user code: 2022-12-01T10:45:31.7559165Z File "/var/lib/jenkins/workspace/test/jit/test_python_builtins.py", line 152, in 2022-12-01T10:45:31.7559277Z cu = torch.jit.CompilationUnit(code_str) 2022-12-01T10:45:31.7559283Z 2022-12-01T10:45:31.7559399Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7559462Z ========== 2022-12-01T10:45:31.7559525Z ok (0.843s) 2022-12-01T10:45:31.7559675Z test_gather (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.017s) 2022-12-01T10:45:31.7559822Z test_index (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.353s) 2022-12-01T10:45:31.7559980Z test_index_ellipses (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.500s) 2022-12-01T10:45:31.7560400Z test_inf (jit.test_python_builtins.TestPythonBuiltinOP) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_builtins.py line 399 2022-12-01T10:45:31.7560463Z due to: 2022-12-01T10:45:31.7560542Z Traceback (most recent call last): 2022-12-01T10:45:31.7560725Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7560969Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7561247Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7561252Z 2022-12-01T10:45:31.7561319Z from user code: 2022-12-01T10:45:31.7561486Z File "/var/lib/jenkins/workspace/test/jit/test_python_builtins.py", line 410, in 2022-12-01T10:45:31.7561585Z cu = torch.jit.CompilationUnit(str) 2022-12-01T10:45:31.7561591Z 2022-12-01T10:45:31.7561753Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7561803Z ========== 2022-12-01T10:45:31.7561867Z ok (0.052s) 2022-12-01T10:45:31.7562024Z test_matmul_py3 (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.033s) 2022-12-01T10:45:31.7562173Z test_mul (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.021s) 2022-12-01T10:45:31.7562320Z test_pow (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.312s) 2022-12-01T10:45:31.7562748Z test_random (jit.test_python_builtins.TestPythonBuiltinOP) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_builtins.py line 138 2022-12-01T10:45:31.7562810Z due to: 2022-12-01T10:45:31.7562899Z Traceback (most recent call last): 2022-12-01T10:45:31.7563041Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7563288Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7563581Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.7563586Z 2022-12-01T10:45:31.7563654Z from user code: 2022-12-01T10:45:31.7563823Z File "/var/lib/jenkins/workspace/test/jit/test_python_builtins.py", line 143, in 2022-12-01T10:45:31.7563927Z with torch.random.fork_rng(devices=[]): 2022-12-01T10:45:31.7563933Z 2022-12-01T10:45:31.7564059Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7564119Z ========== 2022-12-01T10:45:31.7564170Z ok (0.014s) 2022-12-01T10:45:31.7564318Z test_slice (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.068s) 2022-12-01T10:45:31.7564486Z test_stepped_tuple_slicing (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.056s) 2022-12-01T10:45:31.7564645Z test_str_to_float (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.027s) 2022-12-01T10:45:31.7564793Z test_triple (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.018s) 2022-12-01T10:45:31.7565201Z test_param_strides (jit.test_python_ir.TestPythonIr) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_python_ir.py line 16 2022-12-01T10:45:31.7565266Z due to: 2022-12-01T10:45:31.7565354Z Traceback (most recent call last): 2022-12-01T10:45:31.7565503Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7565621Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7565918Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7565924Z 2022-12-01T10:45:31.7565990Z from user code: 2022-12-01T10:45:31.7566160Z File "/var/lib/jenkins/workspace/test/jit/test_python_ir.py", line 17, in 2022-12-01T10:45:31.7566280Z value = list(traced.graph.param_node().outputs())[0] 2022-12-01T10:45:31.7566285Z 2022-12-01T10:45:31.7566411Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7566471Z ========== 2022-12-01T10:45:31.7566535Z ok (0.013s) 2022-12-01T10:45:31.7566716Z test_attributes (jit.test_recursive_script.TestRecursiveScript) ... ok (0.042s) 2022-12-01T10:45:31.7566875Z test_class_compile (jit.test_recursive_script.TestRecursiveScript) ... ok (0.053s) 2022-12-01T10:45:31.7567421Z test_constants_with_final (jit.test_recursive_script.TestRecursiveScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M1 /var/lib/jenkins/workspace/test/jit/test_recursive_script.py line 165 2022-12-01T10:45:31.7567486Z due to: 2022-12-01T10:45:31.7567579Z Traceback (most recent call last): 2022-12-01T10:45:31.7567728Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7567809Z raise Unsupported(msg) 2022-12-01T10:45:31.7567979Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7567999Z 2022-12-01T10:45:31.7568056Z from user code: 2022-12-01T10:45:31.7568205Z File "/var/lib/jenkins/workspace/test/jit/test_recursive_script.py", line 165, in M1 2022-12-01T10:45:31.7568292Z class M1(torch.nn.Module): 2022-12-01T10:45:31.7568299Z 2022-12-01T10:45:31.7568506Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7568570Z ========== 2022-12-01T10:45:31.7568635Z ok (0.027s) 2022-12-01T10:45:31.7568782Z test_dir (jit.test_recursive_script.TestRecursiveScript) ... ok (0.118s) 2022-12-01T10:45:31.7568925Z test_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s) 2022-12-01T10:45:31.7569092Z test_error_stack_annotation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.006s) 2022-12-01T10:45:31.7569295Z test_error_stack_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s) 2022-12-01T10:45:31.7569576Z test_error_stack_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.016s) 2022-12-01T10:45:31.7569784Z test_failed_function_compilation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s) 2022-12-01T10:45:31.7569949Z test_function_attribute_in_submodule (jit.test_recursive_script.TestRecursiveScript) ... ok (0.030s) 2022-12-01T10:45:31.7570140Z test_ignore_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s) 2022-12-01T10:45:31.7570333Z test_inferred_nonetype (jit.test_recursive_script.TestRecursiveScript) ... ok (0.012s) 2022-12-01T10:45:31.7580897Z test_init_error (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-12-01T10:45:31.7581430Z test_inner_traced_module (jit.test_recursive_script.TestRecursiveScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_recursive_script.py line 688 2022-12-01T10:45:31.7581495Z due to: 2022-12-01T10:45:31.7581586Z Traceback (most recent call last): 2022-12-01T10:45:31.7581827Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7582006Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7582199Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7582208Z 2022-12-01T10:45:31.7582278Z from user code: 2022-12-01T10:45:31.7582427Z File "/var/lib/jenkins/workspace/test/jit/test_recursive_script.py", line 691, in forward 2022-12-01T10:45:31.7582503Z out.append(dummy(x)) 2022-12-01T10:45:31.7582508Z 2022-12-01T10:45:31.7582637Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7582700Z ========== 2022-12-01T10:45:31.7582762Z ok (0.024s) 2022-12-01T10:45:31.7582912Z test_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.096s) 2022-12-01T10:45:31.7583065Z test_method_call (jit.test_recursive_script.TestRecursiveScript) ... ok (0.038s) 2022-12-01T10:45:31.7583220Z test_module_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.027s) 2022-12-01T10:45:31.7583639Z test_module_function_export (jit.test_recursive_script.TestRecursiveScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Other /var/lib/jenkins/workspace/test/jit/test_recursive_script.py line 449 2022-12-01T10:45:31.7583820Z due to: 2022-12-01T10:45:31.7583909Z Traceback (most recent call last): 2022-12-01T10:45:31.7584058Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7584139Z raise Unsupported(msg) 2022-12-01T10:45:31.7584249Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7584255Z 2022-12-01T10:45:31.7584322Z from user code: 2022-12-01T10:45:31.7584470Z File "/var/lib/jenkins/workspace/test/jit/test_recursive_script.py", line 449, in Other 2022-12-01T10:45:31.7584556Z class Other(torch.nn.Module): 2022-12-01T10:45:31.7584561Z 2022-12-01T10:45:31.7584688Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7584814Z ========== 2022-12-01T10:45:31.7584878Z ok (0.028s) 2022-12-01T10:45:31.7585032Z test_module_name (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s) 2022-12-01T10:45:31.7585170Z test_module_repr (jit.test_recursive_script.TestRecursiveScript) ... ok (0.026s) 2022-12-01T10:45:31.7585330Z test_optional_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.030s) 2022-12-01T10:45:31.7585765Z test_override_instance_method_ignore (jit.test_recursive_script.TestRecursiveScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M /var/lib/jenkins/workspace/test/jit/test_recursive_script.py line 737 2022-12-01T10:45:31.7585828Z due to: 2022-12-01T10:45:31.7585913Z Traceback (most recent call last): 2022-12-01T10:45:31.7586061Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7586140Z raise Unsupported(msg) 2022-12-01T10:45:31.7586258Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7586263Z 2022-12-01T10:45:31.7586321Z from user code: 2022-12-01T10:45:31.7586466Z File "/var/lib/jenkins/workspace/test/jit/test_recursive_script.py", line 737, in M 2022-12-01T10:45:31.7586549Z class M(torch.nn.Module): 2022-12-01T10:45:31.7586554Z 2022-12-01T10:45:31.7586680Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7586740Z ========== 2022-12-01T10:45:31.7586803Z ok (0.006s) 2022-12-01T10:45:31.7586975Z test_prepare_scriptable_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s) 2022-12-01T10:45:31.7587136Z test_prepare_scriptable_cycle (jit.test_recursive_script.TestRecursiveScript) ... ok (0.018s) 2022-12-01T10:45:31.7587321Z test_prepare_scriptable_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.081s) 2022-12-01T10:45:31.7587491Z test_python_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.013s) 2022-12-01T10:45:31.7587652Z test_repeated_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.010s) 2022-12-01T10:45:31.7587809Z test_script_after_eval (jit.test_recursive_script.TestRecursiveScript) ... ok (0.010s) 2022-12-01T10:45:31.7588259Z test_script_basic (jit.test_recursive_script.TestRecursiveScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_recursive_script.py line 377 2022-12-01T10:45:31.7588325Z due to: 2022-12-01T10:45:31.7588412Z Traceback (most recent call last): 2022-12-01T10:45:31.7588571Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7588676Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7588975Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7588980Z 2022-12-01T10:45:31.7589046Z from user code: 2022-12-01T10:45:31.7589225Z File "/var/lib/jenkins/workspace/test/jit/test_recursive_script.py", line 381, in 2022-12-01T10:45:31.7589309Z graph = str(a_script_fn.graph) 2022-12-01T10:45:31.7589314Z 2022-12-01T10:45:31.7589440Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7589497Z ========== 2022-12-01T10:45:31.7589592Z ok (0.013s) 2022-12-01T10:45:31.7589753Z test_script_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.270s) 2022-12-01T10:45:31.7589902Z test_script_loaded_module (jit.test_recursive_script.TestRecursiveScript) 2022-12-01T10:45:31.7590288Z Test that we can hold a loaded ScriptModule as a submodule. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_recursive_script.py line 715 2022-12-01T10:45:31.7590346Z due to: 2022-12-01T10:45:31.7590430Z Traceback (most recent call last): 2022-12-01T10:45:31.7590654Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7590864Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7591057Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7591062Z 2022-12-01T10:45:31.7591119Z from user code: 2022-12-01T10:45:31.7591266Z File "/var/lib/jenkins/workspace/test/jit/test_recursive_script.py", line 716, in forward 2022-12-01T10:45:31.7591350Z return self.encoder(input) 2022-12-01T10:45:31.7591355Z 2022-12-01T10:45:31.7591479Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7591539Z ========== 2022-12-01T10:45:31.7591600Z ok (0.018s) 2022-12-01T10:45:31.7592044Z test_aten_inplace (jit.test_remove_mutation.TestRemoveMutation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_remove_mutation.py line 27 2022-12-01T10:45:31.7592104Z due to: 2022-12-01T10:45:31.7592181Z Traceback (most recent call last): 2022-12-01T10:45:31.7592341Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7592460Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7592755Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7592763Z 2022-12-01T10:45:31.7592828Z from user code: 2022-12-01T10:45:31.7593005Z File "/var/lib/jenkins/workspace/test/jit/test_remove_mutation.py", line 28, in 2022-12-01T10:45:31.7593074Z graph = fn.graph 2022-12-01T10:45:31.7593079Z 2022-12-01T10:45:31.7593206Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7593256Z ========== 2022-12-01T10:45:31.7593319Z ok (0.046s) 2022-12-01T10:45:31.7593481Z test_common_pytorch_list_ops (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.083s) 2022-12-01T10:45:31.7593910Z test_if_output (jit.test_remove_mutation.TestRemoveMutation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_remove_mutation.py line 97 2022-12-01T10:45:31.7593969Z due to: 2022-12-01T10:45:31.7594058Z Traceback (most recent call last): 2022-12-01T10:45:31.7594209Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7594453Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7594686Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7594700Z 2022-12-01T10:45:31.7594756Z from user code: 2022-12-01T10:45:31.7594927Z File "/var/lib/jenkins/workspace/test/jit/test_remove_mutation.py", line 98, in 2022-12-01T10:45:31.7595052Z FileCheck().check("aten::add_").run(foo_script.graph) 2022-12-01T10:45:31.7595057Z 2022-12-01T10:45:31.7595185Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7595243Z ========== 2022-12-01T10:45:31.7595304Z ok (0.015s) 2022-12-01T10:45:31.7595752Z test_if_output_fail (jit.test_remove_mutation.TestRemoveMutation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_remove_mutation.py line 106 2022-12-01T10:45:31.7595860Z due to: 2022-12-01T10:45:31.7595938Z Traceback (most recent call last): 2022-12-01T10:45:31.7596097Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7596212Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7596508Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7596515Z 2022-12-01T10:45:31.7596580Z from user code: 2022-12-01T10:45:31.7596784Z File "/var/lib/jenkins/workspace/test/jit/test_remove_mutation.py", line 116, in 2022-12-01T10:45:31.7596915Z self.run_pass('inline', foo.graph) 2022-12-01T10:45:31.7596921Z 2022-12-01T10:45:31.7597048Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7597096Z ========== 2022-12-01T10:45:31.7597160Z ok (0.015s) 2022-12-01T10:45:31.7597632Z test_list_indexing_removal (jit.test_remove_mutation.TestRemoveMutation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_remove_mutation.py line 217 2022-12-01T10:45:31.7597692Z due to: 2022-12-01T10:45:31.7597779Z Traceback (most recent call last): 2022-12-01T10:45:31.7597936Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7598049Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7598344Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7598351Z 2022-12-01T10:45:31.7598409Z from user code: 2022-12-01T10:45:31.7598591Z File "/var/lib/jenkins/workspace/test/jit/test_remove_mutation.py", line 223, in 2022-12-01T10:45:31.7598712Z torch._C._jit_pass_remove_mutation(out_of_bounds.graph) 2022-12-01T10:45:31.7598719Z 2022-12-01T10:45:31.7598844Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7598902Z ========== 2022-12-01T10:45:31.7598966Z ok (0.027s) 2022-12-01T10:45:31.7599408Z test_lists_append (jit.test_remove_mutation.TestRemoveMutation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_remove_mutation.py line 177 2022-12-01T10:45:31.7599469Z due to: 2022-12-01T10:45:31.7599547Z Traceback (most recent call last): 2022-12-01T10:45:31.7599702Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7599816Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7600109Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7600114Z 2022-12-01T10:45:31.7600177Z from user code: 2022-12-01T10:45:31.7600354Z File "/var/lib/jenkins/workspace/test/jit/test_remove_mutation.py", line 178, in 2022-12-01T10:45:31.7600424Z graph = fn.graph 2022-12-01T10:45:31.7600429Z 2022-12-01T10:45:31.7600553Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7600612Z ========== 2022-12-01T10:45:31.7600664Z ok (0.015s) 2022-12-01T10:45:31.7601103Z test_lists_insert (jit.test_remove_mutation.TestRemoveMutation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_remove_mutation.py line 209 2022-12-01T10:45:31.7601161Z due to: 2022-12-01T10:45:31.7601251Z Traceback (most recent call last): 2022-12-01T10:45:31.7601405Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7601520Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7601806Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7601845Z 2022-12-01T10:45:31.7601912Z from user code: 2022-12-01T10:45:31.7602075Z File "/var/lib/jenkins/workspace/test/jit/test_remove_mutation.py", line 210, in 2022-12-01T10:45:31.7602145Z graph = fn.graph 2022-12-01T10:45:31.7602150Z 2022-12-01T10:45:31.7602273Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7602331Z ========== 2022-12-01T10:45:31.7602392Z ok (0.011s) 2022-12-01T10:45:31.7602885Z test_special_mapped_op (jit.test_remove_mutation.TestRemoveMutation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_remove_mutation.py line 141 2022-12-01T10:45:31.7602946Z due to: 2022-12-01T10:45:31.7603033Z Traceback (most recent call last): 2022-12-01T10:45:31.7603179Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7603297Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7603588Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7603594Z 2022-12-01T10:45:31.7603660Z from user code: 2022-12-01T10:45:31.7603843Z File "/var/lib/jenkins/workspace/test/jit/test_remove_mutation.py", line 142, in 2022-12-01T10:45:31.7603913Z graph = fn.graph 2022-12-01T10:45:31.7603918Z 2022-12-01T10:45:31.7604042Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7604101Z ========== 2022-12-01T10:45:31.7604156Z ok (0.027s) 2022-12-01T10:45:31.7604283Z test_different_functions (jit.test_save_load.TestSaveLoad) 2022-12-01T10:45:31.7604418Z Exercise the situation where we have the same qualified name ... ok (0.031s) 2022-12-01T10:45:31.7604545Z test_different_interfaces (jit.test_save_load.TestSaveLoad) 2022-12-01T10:45:31.7604929Z Exercise the situation where we have the same qualified name ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyInterface /var/lib/jenkins/workspace/test/jit/test_save_load.py line 154 2022-12-01T10:45:31.7604990Z due to: 2022-12-01T10:45:31.7605077Z Traceback (most recent call last): 2022-12-01T10:45:31.7605224Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7605294Z raise Unsupported(msg) 2022-12-01T10:45:31.7605412Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7605417Z 2022-12-01T10:45:31.7605481Z from user code: 2022-12-01T10:45:31.7605626Z File "/var/lib/jenkins/workspace/test/jit/test_save_load.py", line 154, in MyInterface 2022-12-01T10:45:31.7605702Z @torch.jit.interface 2022-12-01T10:45:31.7605707Z 2022-12-01T10:45:31.7605832Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7605891Z ========== 2022-12-01T10:45:31.7606165Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyInterface /var/lib/jenkins/workspace/test/jit/test_save_load.py line 184 2022-12-01T10:45:31.7606227Z due to: 2022-12-01T10:45:31.7606313Z Traceback (most recent call last): 2022-12-01T10:45:31.7606457Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7606533Z raise Unsupported(msg) 2022-12-01T10:45:31.7606652Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7606656Z 2022-12-01T10:45:31.7606723Z from user code: 2022-12-01T10:45:31.7606867Z File "/var/lib/jenkins/workspace/test/jit/test_save_load.py", line 184, in MyInterface 2022-12-01T10:45:31.7606934Z @torch.jit.interface 2022-12-01T10:45:31.7606938Z 2022-12-01T10:45:31.7607194Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7607253Z ========== 2022-12-01T10:45:31.7607316Z ok (0.040s) 2022-12-01T10:45:31.7607437Z test_different_modules (jit.test_save_load.TestSaveLoad) 2022-12-01T10:45:31.7607632Z Exercise the situation where we have the same qualified name ... ok (0.048s) 2022-12-01T10:45:31.7608018Z test_many_collisions (jit.test_save_load.TestSaveLoad) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyInterface /var/lib/jenkins/workspace/test/jit/test_save_load.py line 240 2022-12-01T10:45:31.7608081Z due to: 2022-12-01T10:45:31.7608158Z Traceback (most recent call last): 2022-12-01T10:45:31.7608386Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7608469Z raise Unsupported(msg) 2022-12-01T10:45:31.7608587Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7608592Z 2022-12-01T10:45:31.7608657Z from user code: 2022-12-01T10:45:31.7608850Z File "/var/lib/jenkins/workspace/test/jit/test_save_load.py", line 240, in MyInterface 2022-12-01T10:45:31.7608931Z @torch.jit.interface 2022-12-01T10:45:31.7608937Z 2022-12-01T10:45:31.7609053Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7609116Z ========== 2022-12-01T10:45:31.7609408Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyInterface /var/lib/jenkins/workspace/test/jit/test_save_load.py line 280 2022-12-01T10:45:31.7609468Z due to: 2022-12-01T10:45:31.7609554Z Traceback (most recent call last): 2022-12-01T10:45:31.7609698Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7609776Z raise Unsupported(msg) 2022-12-01T10:45:31.7609894Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7609899Z 2022-12-01T10:45:31.7609955Z from user code: 2022-12-01T10:45:31.7610098Z File "/var/lib/jenkins/workspace/test/jit/test_save_load.py", line 280, in MyInterface 2022-12-01T10:45:31.7610176Z @torch.jit.interface 2022-12-01T10:45:31.7610181Z 2022-12-01T10:45:31.7610308Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7610367Z ========== 2022-12-01T10:45:31.7610430Z ok (0.063s) 2022-12-01T10:45:31.7610559Z test_save_load_meta_tensors (jit.test_save_load.TestSaveLoad) 2022-12-01T10:45:31.7610705Z Check that parameters, buffers, and submodules are the same after loading ... ok (0.027s) 2022-12-01T10:45:31.7610849Z test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoad) 2022-12-01T10:45:31.7610999Z Check that parameters, buffers, and submodules are the same after loading. ... ok (0.018s) 2022-12-01T10:45:31.7611380Z test_save_load_using_pathlib (jit.test_save_load.TestSaveLoad) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod /var/lib/jenkins/workspace/test/jit/test_save_load.py line 393 2022-12-01T10:45:31.7611441Z due to: 2022-12-01T10:45:31.7611527Z Traceback (most recent call last): 2022-12-01T10:45:31.7611675Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7611756Z raise Unsupported(msg) 2022-12-01T10:45:31.7611865Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7611870Z 2022-12-01T10:45:31.7611934Z from user code: 2022-12-01T10:45:31.7612075Z File "/var/lib/jenkins/workspace/test/jit/test_save_load.py", line 393, in MyMod 2022-12-01T10:45:31.7612175Z class MyMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7612180Z 2022-12-01T10:45:31.7612304Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7612365Z ========== 2022-12-01T10:45:31.7612429Z ok (0.009s) 2022-12-01T10:45:31.7612814Z test_save_load_with_extra_files (jit.test_save_load.TestSaveLoad) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod /var/lib/jenkins/workspace/test/jit/test_save_load.py line 343 2022-12-01T10:45:31.7612865Z due to: 2022-12-01T10:45:31.7612950Z Traceback (most recent call last): 2022-12-01T10:45:31.7613096Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7613173Z raise Unsupported(msg) 2022-12-01T10:45:31.7613291Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7613295Z 2022-12-01T10:45:31.7613362Z from user code: 2022-12-01T10:45:31.7613531Z File "/var/lib/jenkins/workspace/test/jit/test_save_load.py", line 343, in MyMod 2022-12-01T10:45:31.7613622Z class MyMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7613637Z 2022-12-01T10:45:31.7613753Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7613811Z ========== 2022-12-01T10:45:31.7613872Z ok (0.019s) 2022-12-01T10:45:31.7614004Z test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoad) 2022-12-01T10:45:31.7614389Z Even if a NamedTuple is only used as an input argument, saving and ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyModule /var/lib/jenkins/workspace/test/jit/test_save_load.py line 428 2022-12-01T10:45:31.7614450Z due to: 2022-12-01T10:45:31.7614567Z Traceback (most recent call last): 2022-12-01T10:45:31.7614704Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7614782Z raise Unsupported(msg) 2022-12-01T10:45:31.7614901Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7614908Z 2022-12-01T10:45:31.7614973Z from user code: 2022-12-01T10:45:31.7615116Z File "/var/lib/jenkins/workspace/test/jit/test_save_load.py", line 428, in MyModule 2022-12-01T10:45:31.7615207Z class MyModule(torch.nn.Module): 2022-12-01T10:45:31.7615212Z 2022-12-01T10:45:31.7615338Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7615398Z ========== 2022-12-01T10:45:31.7615450Z ok (0.009s) 2022-12-01T10:45:31.7615586Z test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoad) 2022-12-01T10:45:31.7615728Z Even if a NamedTuple is only used as an output argument, saving and ... ok (0.008s) 2022-12-01T10:45:31.7615863Z test_save_nonexit_file (jit.test_save_load.TestSaveLoad) ... ok (0.009s) 2022-12-01T10:45:31.7616009Z test_different_functions (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-12-01T10:45:31.7616201Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-12-01T10:45:31.7616349Z test_different_interfaces (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-12-01T10:45:31.7616538Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.002s) 2022-12-01T10:45:31.7616671Z test_different_modules (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-12-01T10:45:31.7616861Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.002s) 2022-12-01T10:45:31.7617070Z test_many_collisions (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.003s) 2022-12-01T10:45:31.7617288Z test_module_info_flatbuffer (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-12-01T10:45:31.7617447Z test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-12-01T10:45:31.7617655Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.002s) 2022-12-01T10:45:31.7617873Z test_save_load_using_pathlib (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-12-01T10:45:31.7618023Z test_save_load_with_extra_files (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-12-01T10:45:31.7618223Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-12-01T10:45:31.7618365Z test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-12-01T10:45:31.7618562Z Even if a NamedTuple is only used as an input argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-12-01T10:45:31.7618712Z test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-12-01T10:45:31.7618904Z Even if a NamedTuple is only used as an output argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.000s) 2022-12-01T10:45:31.7619168Z test_versioned_div_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... Falsifying explicit example: test_versioned_div_scalar( 2022-12-01T10:45:31.7619361Z self=, 2022-12-01T10:45:31.7619443Z sample_input=(2, 3, 2.0, 3.0), 2022-12-01T10:45:31.7619501Z ) 2022-12-01T10:45:31.7619593Z skip: Failed to load fixture! (0.295s) 2022-12-01T10:45:31.7620100Z test_versioned_div_scalar_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _helper /var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py line 381 2022-12-01T10:45:31.7620164Z due to: 2022-12-01T10:45:31.7620252Z Traceback (most recent call last): 2022-12-01T10:45:31.7620477Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7620662Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7620853Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7620858Z 2022-12-01T10:45:31.7620926Z from user code: 2022-12-01T10:45:31.7621085Z File "/var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py", line 382, in _helper 2022-12-01T10:45:31.7621161Z m_result = self._try_fn(m, a, b) 2022-12-01T10:45:31.7621175Z 2022-12-01T10:45:31.7621294Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7621353Z ========== 2022-12-01T10:45:31.7621645Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _try_fn /var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py line 43 2022-12-01T10:45:31.7621705Z due to: 2022-12-01T10:45:31.7621790Z Traceback (most recent call last): 2022-12-01T10:45:31.7622011Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7622193Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7622373Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7622378Z 2022-12-01T10:45:31.7622442Z from user code: 2022-12-01T10:45:31.7622600Z File "/var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py", line 45, in _try_fn 2022-12-01T10:45:31.7622674Z return fn(*args, **kwargs) 2022-12-01T10:45:31.7622679Z 2022-12-01T10:45:31.7622807Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7622866Z ========== 2022-12-01T10:45:31.7622929Z ok (0.807s) 2022-12-01T10:45:31.7623130Z test_versioned_div_scalar_reciprocal (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.536s) 2022-12-01T10:45:31.7623311Z test_versioned_div_scalar_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.037s) 2022-12-01T10:45:31.7623776Z test_versioned_div_tensor (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT historic_div /var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py line 71 2022-12-01T10:45:31.7623839Z due to: 2022-12-01T10:45:31.7623927Z Traceback (most recent call last): 2022-12-01T10:45:31.7624170Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/graph_module.py", line 71, in _exec_with_source 2022-12-01T10:45:31.7624308Z exec(compile(src, key, 'exec'), globals) 2022-12-01T10:45:31.7624393Z File ".1810", line 4 2022-12-01T10:45:31.7624567Z SyntaxError: duplicate argument 'self' in function definition 2022-12-01T10:45:31.7624572Z 2022-12-01T10:45:31.7624630Z from user code: 2022-12-01T10:45:31.7624793Z File "/var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py", line 74, in historic_div 2022-12-01T10:45:31.7624948Z return self.divide(other, rounding_mode='trunc') 2022-12-01T10:45:31.7624953Z 2022-12-01T10:45:31.7625110Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7625166Z ========== 2022-12-01T10:45:31.7625229Z ok (0.495s) 2022-12-01T10:45:31.7625857Z test_versioned_div_tensor_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... Test test_versioned_div_tensor_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) is disabled for some unrecognized platforms: [dynamo]. Please edit issue https://github.com/pytorch/pytorch/issues/88719 to fix the platforms assigned to this flaky test, changing "Platforms: ..." to a comma separated subset of the following (or leave it blank to match all platforms): mac, macos, win, windows, linux, rocm, asan 2022-12-01T10:45:31.7626449Z skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88719 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-12-01T10:45:31.7626929Z test_versioned_div_tensor_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT historic_div_out /var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py line 166 2022-12-01T10:45:31.7626989Z due to: 2022-12-01T10:45:31.7627075Z Traceback (most recent call last): 2022-12-01T10:45:31.7627310Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/graph_module.py", line 71, in _exec_with_source 2022-12-01T10:45:31.7627446Z exec(compile(src, key, 'exec'), globals) 2022-12-01T10:45:31.7627529Z File ".1811", line 4 2022-12-01T10:45:31.7627708Z SyntaxError: duplicate argument 'self' in function definition 2022-12-01T10:45:31.7627713Z 2022-12-01T10:45:31.7627778Z from user code: 2022-12-01T10:45:31.7627945Z File "/var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py", line 168, in historic_div_out 2022-12-01T10:45:31.7628047Z return torch.true_divide(self, other, out=out) 2022-12-01T10:45:31.7628054Z 2022-12-01T10:45:31.7628179Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7628229Z ========== 2022-12-01T10:45:31.7628288Z ok (1.475s) 2022-12-01T10:45:31.7628474Z test_versioned_linspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.017s) 2022-12-01T10:45:31.7628933Z test_versioned_linspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Module /var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py line 457 2022-12-01T10:45:31.7628993Z due to: 2022-12-01T10:45:31.7629081Z Traceback (most recent call last): 2022-12-01T10:45:31.7629228Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7629304Z raise Unsupported(msg) 2022-12-01T10:45:31.7629414Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7629419Z 2022-12-01T10:45:31.7629487Z from user code: 2022-12-01T10:45:31.7629644Z File "/var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py", line 457, in Module 2022-12-01T10:45:31.7629731Z class Module(torch.nn.Module): 2022-12-01T10:45:31.7629736Z 2022-12-01T10:45:31.7629863Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7629921Z ========== 2022-12-01T10:45:31.7629981Z ok (0.016s) 2022-12-01T10:45:31.7630154Z test_versioned_logspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.014s) 2022-12-01T10:45:31.7630619Z test_versioned_logspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Module /var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py line 516 2022-12-01T10:45:31.7630680Z due to: 2022-12-01T10:45:31.7630764Z Traceback (most recent call last): 2022-12-01T10:45:31.7630911Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7631023Z raise Unsupported(msg) 2022-12-01T10:45:31.7631141Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7631147Z 2022-12-01T10:45:31.7631210Z from user code: 2022-12-01T10:45:31.7631356Z File "/var/lib/jenkins/workspace/test/jit/test_save_load_for_op_version.py", line 516, in Module 2022-12-01T10:45:31.7631442Z class Module(torch.nn.Module): 2022-12-01T10:45:31.7631447Z 2022-12-01T10:45:31.7631571Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7631628Z ========== 2022-12-01T10:45:31.7631690Z ok (0.015s) 2022-12-01T10:45:31.7631793Z test_add_out (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.7631949Z test_add_tuple_different_types (__main__.TestScript) ... ok (0.034s) 2022-12-01T10:45:31.7632072Z test_add_tuple_non_optional (__main__.TestScript) ... ok (0.043s) 2022-12-01T10:45:31.7632180Z test_add_tuple_optional (__main__.TestScript) ... ok (0.060s) 2022-12-01T10:45:31.7632295Z test_add_tuple_same_types (__main__.TestScript) ... ok (0.034s) 2022-12-01T10:45:31.7632387Z test_addmm_grad (__main__.TestScript) 2022-12-01T10:45:31.7632488Z This test checks several things: ... ok (0.072s) 2022-12-01T10:45:31.7632622Z test_alias_covariant_type_containers (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.7632720Z test_all (__main__.TestScript) ... ok (0.398s) 2022-12-01T10:45:31.7632835Z test_annot_ast_mypy_fn (__main__.TestScript) ... ok (0.139s) 2022-12-01T10:45:31.7633252Z test_annot_ast_mypy_method (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpjr5qsaq8/script.py line 3 2022-12-01T10:45:31.7633315Z due to: 2022-12-01T10:45:31.7633399Z Traceback (most recent call last): 2022-12-01T10:45:31.7633547Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7633629Z raise Unsupported(msg) 2022-12-01T10:45:31.7633744Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7633750Z 2022-12-01T10:45:31.7633819Z from user code: 2022-12-01T10:45:31.7633934Z File "/tmp/tmpjr5qsaq8/script.py", line 3, in FooModule 2022-12-01T10:45:31.7634034Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7634040Z 2022-12-01T10:45:31.7634164Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7634222Z ========== 2022-12-01T10:45:31.7634462Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpicsabe4v/script.py line 3 2022-12-01T10:45:31.7634520Z due to: 2022-12-01T10:45:31.7634607Z Traceback (most recent call last): 2022-12-01T10:45:31.7634754Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7634825Z raise Unsupported(msg) 2022-12-01T10:45:31.7634942Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7634947Z 2022-12-01T10:45:31.7635010Z from user code: 2022-12-01T10:45:31.7635126Z File "/tmp/tmpicsabe4v/script.py", line 3, in FooModule 2022-12-01T10:45:31.7635233Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7635240Z 2022-12-01T10:45:31.7635367Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7635425Z ========== 2022-12-01T10:45:31.7635658Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpoheg0zjo/script.py line 3 2022-12-01T10:45:31.7635710Z due to: 2022-12-01T10:45:31.7635795Z Traceback (most recent call last): 2022-12-01T10:45:31.7635937Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7636015Z raise Unsupported(msg) 2022-12-01T10:45:31.7636131Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7636136Z 2022-12-01T10:45:31.7636203Z from user code: 2022-12-01T10:45:31.7636321Z File "/tmp/tmpoheg0zjo/script.py", line 3, in FooModule 2022-12-01T10:45:31.7636422Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7636436Z 2022-12-01T10:45:31.7636551Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7636665Z ========== 2022-12-01T10:45:31.7636900Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpre7p0nzb/script.py line 3 2022-12-01T10:45:31.7636961Z due to: 2022-12-01T10:45:31.7637047Z Traceback (most recent call last): 2022-12-01T10:45:31.7637192Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7637271Z raise Unsupported(msg) 2022-12-01T10:45:31.7637379Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7637384Z 2022-12-01T10:45:31.7637451Z from user code: 2022-12-01T10:45:31.7637566Z File "/tmp/tmpre7p0nzb/script.py", line 3, in FooModule 2022-12-01T10:45:31.7637675Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7637712Z 2022-12-01T10:45:31.7637837Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7637898Z ========== 2022-12-01T10:45:31.7638130Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmp0e0o0zvx/script.py line 3 2022-12-01T10:45:31.7638184Z due to: 2022-12-01T10:45:31.7638269Z Traceback (most recent call last): 2022-12-01T10:45:31.7638411Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7638490Z raise Unsupported(msg) 2022-12-01T10:45:31.7638607Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7638612Z 2022-12-01T10:45:31.7638677Z from user code: 2022-12-01T10:45:31.7638789Z File "/tmp/tmp0e0o0zvx/script.py", line 3, in FooModule 2022-12-01T10:45:31.7638898Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7638903Z 2022-12-01T10:45:31.7639017Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7639074Z ========== 2022-12-01T10:45:31.7639309Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpihp2n80q/script.py line 3 2022-12-01T10:45:31.7639368Z due to: 2022-12-01T10:45:31.7639452Z Traceback (most recent call last): 2022-12-01T10:45:31.7639596Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7639677Z raise Unsupported(msg) 2022-12-01T10:45:31.7639784Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7639800Z 2022-12-01T10:45:31.7639859Z from user code: 2022-12-01T10:45:31.7639973Z File "/tmp/tmpihp2n80q/script.py", line 3, in FooModule 2022-12-01T10:45:31.7640080Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7640085Z 2022-12-01T10:45:31.7640210Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7640269Z ========== 2022-12-01T10:45:31.7640500Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmp2srcmyw5/script.py line 3 2022-12-01T10:45:31.7640562Z due to: 2022-12-01T10:45:31.7640641Z Traceback (most recent call last): 2022-12-01T10:45:31.7640786Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7640865Z raise Unsupported(msg) 2022-12-01T10:45:31.7640982Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7640989Z 2022-12-01T10:45:31.7641054Z from user code: 2022-12-01T10:45:31.7641166Z File "/tmp/tmp2srcmyw5/script.py", line 3, in FooModule 2022-12-01T10:45:31.7641274Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7641279Z 2022-12-01T10:45:31.7641403Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7641453Z ========== 2022-12-01T10:45:31.7641687Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpfhmgvy10/script.py line 3 2022-12-01T10:45:31.7641748Z due to: 2022-12-01T10:45:31.7641834Z Traceback (most recent call last): 2022-12-01T10:45:31.7641978Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7642056Z raise Unsupported(msg) 2022-12-01T10:45:31.7642175Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7642180Z 2022-12-01T10:45:31.7642236Z from user code: 2022-12-01T10:45:31.7642350Z File "/tmp/tmpfhmgvy10/script.py", line 3, in FooModule 2022-12-01T10:45:31.7642491Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7642496Z 2022-12-01T10:45:31.7642622Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7642678Z ========== 2022-12-01T10:45:31.7642911Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpy19bjqct/script.py line 3 2022-12-01T10:45:31.7642971Z due to: 2022-12-01T10:45:31.7643049Z Traceback (most recent call last): 2022-12-01T10:45:31.7643195Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7643274Z raise Unsupported(msg) 2022-12-01T10:45:31.7643388Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7643422Z 2022-12-01T10:45:31.7643488Z from user code: 2022-12-01T10:45:31.7643600Z File "/tmp/tmpy19bjqct/script.py", line 3, in FooModule 2022-12-01T10:45:31.7643707Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7643712Z 2022-12-01T10:45:31.7643837Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7643888Z ========== 2022-12-01T10:45:31.7643951Z ok (0.099s) 2022-12-01T10:45:31.7644067Z test_annot_ast_py3_fn (__main__.TestScript) ... ok (0.082s) 2022-12-01T10:45:31.7644387Z test_annot_ast_py3_method (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpi31xh30i/script.py line 7 2022-12-01T10:45:31.7644446Z due to: 2022-12-01T10:45:31.7644533Z Traceback (most recent call last): 2022-12-01T10:45:31.7644678Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7644746Z raise Unsupported(msg) 2022-12-01T10:45:31.7644866Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7644870Z 2022-12-01T10:45:31.7644936Z from user code: 2022-12-01T10:45:31.7645048Z File "/tmp/tmpi31xh30i/script.py", line 7, in FooModule 2022-12-01T10:45:31.7645156Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7645160Z 2022-12-01T10:45:31.7645286Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7645342Z ========== 2022-12-01T10:45:31.7645577Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpol3yp7jf/script.py line 7 2022-12-01T10:45:31.7645628Z due to: 2022-12-01T10:45:31.7645715Z Traceback (most recent call last): 2022-12-01T10:45:31.7645861Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7645936Z raise Unsupported(msg) 2022-12-01T10:45:31.7646054Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7646059Z 2022-12-01T10:45:31.7646124Z from user code: 2022-12-01T10:45:31.7646240Z File "/tmp/tmpol3yp7jf/script.py", line 7, in FooModule 2022-12-01T10:45:31.7646337Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7646350Z 2022-12-01T10:45:31.7646466Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7646524Z ========== 2022-12-01T10:45:31.7646761Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmp1xramx2p/script.py line 7 2022-12-01T10:45:31.7646824Z due to: 2022-12-01T10:45:31.7646906Z Traceback (most recent call last): 2022-12-01T10:45:31.7647180Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7647260Z raise Unsupported(msg) 2022-12-01T10:45:31.7647366Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7647371Z 2022-12-01T10:45:31.7647435Z from user code: 2022-12-01T10:45:31.7647548Z File "/tmp/tmp1xramx2p/script.py", line 7, in FooModule 2022-12-01T10:45:31.7647657Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7647662Z 2022-12-01T10:45:31.7647787Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7647845Z ========== 2022-12-01T10:45:31.7648081Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpyzy_u0vk/script.py line 7 2022-12-01T10:45:31.7648141Z due to: 2022-12-01T10:45:31.7648218Z Traceback (most recent call last): 2022-12-01T10:45:31.7648492Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7648572Z raise Unsupported(msg) 2022-12-01T10:45:31.7648689Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7648694Z 2022-12-01T10:45:31.7648760Z from user code: 2022-12-01T10:45:31.7648872Z File "/tmp/tmpyzy_u0vk/script.py", line 7, in FooModule 2022-12-01T10:45:31.7648979Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7648984Z 2022-12-01T10:45:31.7649098Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7649158Z ========== 2022-12-01T10:45:31.7649444Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpi23rc7c1/script.py line 7 2022-12-01T10:45:31.7649507Z due to: 2022-12-01T10:45:31.7649593Z Traceback (most recent call last): 2022-12-01T10:45:31.7649736Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7649816Z raise Unsupported(msg) 2022-12-01T10:45:31.7649923Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7649939Z 2022-12-01T10:45:31.7649995Z from user code: 2022-12-01T10:45:31.7650109Z File "/tmp/tmpi23rc7c1/script.py", line 7, in FooModule 2022-12-01T10:45:31.7650216Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7650221Z 2022-12-01T10:45:31.7650345Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7650402Z ========== 2022-12-01T10:45:31.7650638Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpbf1jyfim/script.py line 7 2022-12-01T10:45:31.7650696Z due to: 2022-12-01T10:45:31.7650773Z Traceback (most recent call last): 2022-12-01T10:45:31.7650920Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7650999Z raise Unsupported(msg) 2022-12-01T10:45:31.7651117Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7651122Z 2022-12-01T10:45:31.7651190Z from user code: 2022-12-01T10:45:31.7651304Z File "/tmp/tmpbf1jyfim/script.py", line 7, in FooModule 2022-12-01T10:45:31.7651411Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7651417Z 2022-12-01T10:45:31.7651538Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7651588Z ========== 2022-12-01T10:45:31.7651819Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmp7jl92jlv/script.py line 7 2022-12-01T10:45:31.7651878Z due to: 2022-12-01T10:45:31.7651967Z Traceback (most recent call last): 2022-12-01T10:45:31.7652111Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7652190Z raise Unsupported(msg) 2022-12-01T10:45:31.7652308Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7652313Z 2022-12-01T10:45:31.7652369Z from user code: 2022-12-01T10:45:31.7652482Z File "/tmp/tmp7jl92jlv/script.py", line 7, in FooModule 2022-12-01T10:45:31.7652588Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7652595Z 2022-12-01T10:45:31.7652720Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7652777Z ========== 2022-12-01T10:45:31.7653014Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmpj5lore72/script.py line 7 2022-12-01T10:45:31.7653071Z due to: 2022-12-01T10:45:31.7653158Z Traceback (most recent call last): 2022-12-01T10:45:31.7653291Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7653367Z raise Unsupported(msg) 2022-12-01T10:45:31.7653484Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7653489Z 2022-12-01T10:45:31.7653556Z from user code: 2022-12-01T10:45:31.7653671Z File "/tmp/tmpj5lore72/script.py", line 7, in FooModule 2022-12-01T10:45:31.7653776Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7653781Z 2022-12-01T10:45:31.7653903Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7653984Z ========== 2022-12-01T10:45:31.7654218Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooModule /tmp/tmp5bk1abln/script.py line 7 2022-12-01T10:45:31.7654278Z due to: 2022-12-01T10:45:31.7654366Z Traceback (most recent call last): 2022-12-01T10:45:31.7654508Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7654587Z raise Unsupported(msg) 2022-12-01T10:45:31.7654702Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7654707Z 2022-12-01T10:45:31.7654770Z from user code: 2022-12-01T10:45:31.7654874Z File "/tmp/tmp5bk1abln/script.py", line 7, in FooModule 2022-12-01T10:45:31.7654982Z class FooModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.7655017Z 2022-12-01T10:45:31.7655144Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7655201Z ========== 2022-12-01T10:45:31.7655263Z ok (0.104s) 2022-12-01T10:45:31.7655586Z test_annot_string_mypy_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_annot_string_mypy_fn test_jit.py line 13024 2022-12-01T10:45:31.7655653Z due to: 2022-12-01T10:45:31.7655730Z Traceback (most recent call last): 2022-12-01T10:45:31.7655889Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7655958Z assert not kwargs 2022-12-01T10:45:31.7656026Z AssertionError 2022-12-01T10:45:31.7656031Z 2022-12-01T10:45:31.7656096Z from user code: 2022-12-01T10:45:31.7656211Z File "test_jit.py", line 13032, in test_annot_string_mypy_fn 2022-12-01T10:45:31.7656346Z cu = torch.jit.CompilationUnit(self.format_code(code, pair)) 2022-12-01T10:45:31.7656352Z 2022-12-01T10:45:31.7656479Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7656528Z ========== 2022-12-01T10:45:31.7656588Z ok (0.008s) 2022-12-01T10:45:31.7656892Z test_annot_string_mypy_method (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 13039 2022-12-01T10:45:31.7656956Z due to: 2022-12-01T10:45:31.7657043Z Traceback (most recent call last): 2022-12-01T10:45:31.7657207Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7657329Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7657477Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7657491Z 2022-12-01T10:45:31.7657547Z from user code: 2022-12-01T10:45:31.7657640Z File "test_jit.py", line 13040, in __init__ 2022-12-01T10:45:31.7657726Z super(TestModule, self).__init__() 2022-12-01T10:45:31.7657731Z 2022-12-01T10:45:31.7657863Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7657922Z ========== 2022-12-01T10:45:31.7657984Z ok (0.034s) 2022-12-01T10:45:31.7658303Z test_annot_string_py3_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_annot_string_py3_fn test_jit.py line 12993 2022-12-01T10:45:31.7658355Z due to: 2022-12-01T10:45:31.7658439Z Traceback (most recent call last): 2022-12-01T10:45:31.7658596Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7658666Z assert not kwargs 2022-12-01T10:45:31.7658736Z AssertionError 2022-12-01T10:45:31.7658741Z 2022-12-01T10:45:31.7658806Z from user code: 2022-12-01T10:45:31.7658922Z File "test_jit.py", line 13000, in test_annot_string_py3_fn 2022-12-01T10:45:31.7659048Z cu = torch.jit.CompilationUnit(self.format_code(code, pair)) 2022-12-01T10:45:31.7659062Z 2022-12-01T10:45:31.7659179Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7659238Z ========== 2022-12-01T10:45:31.7659297Z ok (0.007s) 2022-12-01T10:45:31.7659598Z test_annot_string_py3_method (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 13007 2022-12-01T10:45:31.7659660Z due to: 2022-12-01T10:45:31.7659780Z Traceback (most recent call last): 2022-12-01T10:45:31.7659946Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7660058Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7660216Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7660221Z 2022-12-01T10:45:31.7660283Z from user code: 2022-12-01T10:45:31.7660378Z File "test_jit.py", line 13008, in __init__ 2022-12-01T10:45:31.7660466Z super(TestModule, self).__init__() 2022-12-01T10:45:31.7660471Z 2022-12-01T10:45:31.7660596Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7660654Z ========== 2022-12-01T10:45:31.7660743Z ok (0.034s) 2022-12-01T10:45:31.7661080Z test_annotated_script_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12891 2022-12-01T10:45:31.7661139Z due to: 2022-12-01T10:45:31.7661226Z Traceback (most recent call last): 2022-12-01T10:45:31.7661385Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7661501Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7661800Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7661805Z 2022-12-01T10:45:31.7661872Z from user code: 2022-12-01T10:45:31.7662004Z File "test_jit.py", line 12896, in 2022-12-01T10:45:31.7662097Z self.assertExpected(str(foo.schema)) 2022-12-01T10:45:31.7662102Z 2022-12-01T10:45:31.7662228Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7662284Z ========== 2022-12-01T10:45:31.7662346Z ok (0.018s) 2022-12-01T10:45:31.7662481Z test_annotated_script_fn_arg_mismatch (__main__.TestScript) ... ok (0.008s) 2022-12-01T10:45:31.7662621Z test_annotated_script_fn_return_mismatch (__main__.TestScript) ... ok (0.008s) 2022-12-01T10:45:31.7662918Z test_annotated_script_method (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SM test_jit.py line 12899 2022-12-01T10:45:31.7662969Z due to: 2022-12-01T10:45:31.7663056Z Traceback (most recent call last): 2022-12-01T10:45:31.7663201Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7663281Z raise Unsupported(msg) 2022-12-01T10:45:31.7663398Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7663403Z 2022-12-01T10:45:31.7663470Z from user code: 2022-12-01T10:45:31.7663558Z File "test_jit.py", line 12899, in SM 2022-12-01T10:45:31.7663658Z class SM(torch.jit.ScriptModule): 2022-12-01T10:45:31.7663663Z 2022-12-01T10:45:31.7663779Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7663834Z ========== 2022-12-01T10:45:31.7663893Z ok (0.008s) 2022-12-01T10:45:31.7664226Z test_annoying_doubles (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 4180 2022-12-01T10:45:31.7664290Z due to: 2022-12-01T10:45:31.7664376Z Traceback (most recent call last): 2022-12-01T10:45:31.7664528Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7664765Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7665074Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.7665079Z 2022-12-01T10:45:31.7665148Z from user code: 2022-12-01T10:45:31.7665275Z File "test_jit.py", line 4182, in 2022-12-01T10:45:31.7665381Z with torch._jit_internal._disable_emit_hooks(): 2022-12-01T10:45:31.7665386Z 2022-12-01T10:45:31.7665512Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7665604Z ========== 2022-12-01T10:45:31.7665808Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo test_jit.py line 4183 2022-12-01T10:45:31.7665866Z due to: 2022-12-01T10:45:31.7665943Z Traceback (most recent call last): 2022-12-01T10:45:31.7666089Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7666166Z raise Unsupported(msg) 2022-12-01T10:45:31.7666283Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7666288Z 2022-12-01T10:45:31.7666353Z from user code: 2022-12-01T10:45:31.7666442Z File "test_jit.py", line 4183, in Foo 2022-12-01T10:45:31.7666540Z class Foo(torch.jit.ScriptModule): 2022-12-01T10:45:31.7666577Z 2022-12-01T10:45:31.7666696Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7666754Z ========== 2022-12-01T10:45:31.7666963Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 4184 2022-12-01T10:45:31.7667023Z due to: 2022-12-01T10:45:31.7667111Z Traceback (most recent call last): 2022-12-01T10:45:31.7667273Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7667395Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7667544Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7667559Z 2022-12-01T10:45:31.7667615Z from user code: 2022-12-01T10:45:31.7667710Z File "test_jit.py", line 4185, in __init__ 2022-12-01T10:45:31.7667788Z super(Foo, self).__init__() 2022-12-01T10:45:31.7667793Z 2022-12-01T10:45:31.7667917Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7667978Z ========== 2022-12-01T10:45:31.7668040Z ok (0.037s) 2022-12-01T10:45:31.7668141Z test_any (__main__.TestScript) ... ok (0.051s) 2022-12-01T10:45:31.7668266Z test_assert_is_scripting_metacompile (__main__.TestScript) ... ok (0.025s) 2022-12-01T10:45:31.7668395Z test_assertion_optional_refinement (__main__.TestScript) ... ok (0.038s) 2022-12-01T10:45:31.7668687Z test_attr_module_constants (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M2 test_jit.py line 9413 2022-12-01T10:45:31.7668747Z due to: 2022-12-01T10:45:31.7668833Z Traceback (most recent call last): 2022-12-01T10:45:31.7668976Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7669054Z raise Unsupported(msg) 2022-12-01T10:45:31.7669164Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7669175Z 2022-12-01T10:45:31.7669231Z from user code: 2022-12-01T10:45:31.7669315Z File "test_jit.py", line 9413, in M2 2022-12-01T10:45:31.7669413Z class M2(torch.jit.ScriptModule): 2022-12-01T10:45:31.7669418Z 2022-12-01T10:45:31.7669542Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7669599Z ========== 2022-12-01T10:45:31.7669809Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9414 2022-12-01T10:45:31.7669871Z due to: 2022-12-01T10:45:31.7669947Z Traceback (most recent call last): 2022-12-01T10:45:31.7670109Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7670229Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7670386Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7670391Z 2022-12-01T10:45:31.7670456Z from user code: 2022-12-01T10:45:31.7670550Z File "test_jit.py", line 9415, in __init__ 2022-12-01T10:45:31.7670627Z super(M2, self).__init__() 2022-12-01T10:45:31.7670632Z 2022-12-01T10:45:31.7670759Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7670807Z ========== 2022-12-01T10:45:31.7670865Z ok (0.028s) 2022-12-01T10:45:31.7670985Z test_attr_qscheme_script (__main__.TestScript) ... ok (0.011s) 2022-12-01T10:45:31.7671275Z test_attribute_in_init (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3443 2022-12-01T10:45:31.7671370Z due to: 2022-12-01T10:45:31.7671457Z Traceback (most recent call last): 2022-12-01T10:45:31.7671622Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7671735Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7671893Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7671898Z 2022-12-01T10:45:31.7671962Z from user code: 2022-12-01T10:45:31.7672056Z File "test_jit.py", line 3444, in __init__ 2022-12-01T10:45:31.7672131Z super(M, self).__init__() 2022-12-01T10:45:31.7672165Z 2022-12-01T10:45:31.7672292Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7672351Z ========== 2022-12-01T10:45:31.7672413Z ok (0.008s) 2022-12-01T10:45:31.7672701Z test_attribute_serialization (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15410 2022-12-01T10:45:31.7672764Z due to: 2022-12-01T10:45:31.7672850Z Traceback (most recent call last): 2022-12-01T10:45:31.7672993Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7673071Z raise Unsupported(msg) 2022-12-01T10:45:31.7673189Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7673194Z 2022-12-01T10:45:31.7673262Z from user code: 2022-12-01T10:45:31.7673339Z File "test_jit.py", line 15410, in M 2022-12-01T10:45:31.7673436Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7673440Z 2022-12-01T10:45:31.7673562Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7673623Z ========== 2022-12-01T10:45:31.7673830Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15411 2022-12-01T10:45:31.7673890Z due to: 2022-12-01T10:45:31.7673977Z Traceback (most recent call last): 2022-12-01T10:45:31.7674141Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7674254Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7674410Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7674416Z 2022-12-01T10:45:31.7674481Z from user code: 2022-12-01T10:45:31.7674575Z File "test_jit.py", line 15412, in __init__ 2022-12-01T10:45:31.7674649Z super(M, self).__init__() 2022-12-01T10:45:31.7674654Z 2022-12-01T10:45:31.7674777Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7674836Z ========== 2022-12-01T10:45:31.7675083Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 15396 2022-12-01T10:45:31.7675144Z due to: 2022-12-01T10:45:31.7675230Z Traceback (most recent call last): 2022-12-01T10:45:31.7675392Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7675512Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7675670Z NotImplementedError: UserDefinedObjectVariable(_GenericAlias) is not a constant 2022-12-01T10:45:31.7675675Z 2022-12-01T10:45:31.7675739Z from user code: 2022-12-01T10:45:31.7675863Z File "test_jit.py", line 15396, in 2022-12-01T10:45:31.7675999Z ('list', [(1, 2), (3, 4)], List[Tuple[int, int]]), 2022-12-01T10:45:31.7676015Z 2022-12-01T10:45:31.7676129Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7676187Z ========== 2022-12-01T10:45:31.7676251Z ok (0.058s) 2022-12-01T10:45:31.7676542Z test_attribute_unpickling (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15450 2022-12-01T10:45:31.7676602Z due to: 2022-12-01T10:45:31.7676687Z Traceback (most recent call last): 2022-12-01T10:45:31.7676832Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7676991Z raise Unsupported(msg) 2022-12-01T10:45:31.7677109Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7677115Z 2022-12-01T10:45:31.7677180Z from user code: 2022-12-01T10:45:31.7677267Z File "test_jit.py", line 15450, in M 2022-12-01T10:45:31.7677364Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7677369Z 2022-12-01T10:45:31.7677492Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7677549Z ========== 2022-12-01T10:45:31.7677750Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15451 2022-12-01T10:45:31.7677808Z due to: 2022-12-01T10:45:31.7677892Z Traceback (most recent call last): 2022-12-01T10:45:31.7678089Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7678212Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7678371Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7678379Z 2022-12-01T10:45:31.7678444Z from user code: 2022-12-01T10:45:31.7678540Z File "test_jit.py", line 15452, in __init__ 2022-12-01T10:45:31.7678606Z super(M, self).__init__() 2022-12-01T10:45:31.7678611Z 2022-12-01T10:45:31.7678733Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7678793Z ========== 2022-12-01T10:45:31.7678858Z ok (0.020s) 2022-12-01T10:45:31.7678975Z test_augmented_assign (__main__.TestScript) ... ok (0.032s) 2022-12-01T10:45:31.7679105Z test_autodiff_complex (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-12-01T10:45:31.7679226Z test_backend_cudnn_enabled (__main__.TestScript) ... ok (0.016s) 2022-12-01T10:45:31.7679344Z test_bad_multiline_annotations (__main__.TestScript) ... ok (0.012s) 2022-12-01T10:45:31.7679481Z test_bailout_loop_carried_deps_name_clash (__main__.TestScript) ... ok (0.018s) 2022-12-01T10:45:31.7679611Z test_bailout_loop_counter_transition (__main__.TestScript) ... ok (0.017s) 2022-12-01T10:45:31.7679795Z test_batch_norm_inference_backward_cuda (__main__.TestScript) ... skip: running tests on cuda to verify cudnn fix (0.002s) 2022-12-01T10:45:31.7680120Z test_batchnorm_fuser_cpu (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_batchnorm_fuser_cpu test_jit.py line 5768 2022-12-01T10:45:31.7680180Z due to: 2022-12-01T10:45:31.7680268Z Traceback (most recent call last): 2022-12-01T10:45:31.7680417Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7680652Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7680957Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7680963Z 2022-12-01T10:45:31.7681027Z from user code: 2022-12-01T10:45:31.7681145Z File "test_jit.py", line 5792, in test_batchnorm_fuser_cpu 2022-12-01T10:45:31.7681224Z graph = parse_ir(code) 2022-12-01T10:45:31.7681229Z 2022-12-01T10:45:31.7681356Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7681414Z ========== 2022-12-01T10:45:31.7681476Z ok (1.079s) 2022-12-01T10:45:31.7681806Z test_big_float_literals (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 3652 2022-12-01T10:45:31.7681863Z due to: 2022-12-01T10:45:31.7681948Z Traceback (most recent call last): 2022-12-01T10:45:31.7682103Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7682353Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7682629Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7682634Z 2022-12-01T10:45:31.7682700Z from user code: 2022-12-01T10:45:31.7682862Z File "test_jit.py", line 3654, in 2022-12-01T10:45:31.7682955Z cu = torch.jit.CompilationUnit() 2022-12-01T10:45:31.7682960Z 2022-12-01T10:45:31.7683077Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7683135Z ========== 2022-12-01T10:45:31.7683200Z ok (0.066s) 2022-12-01T10:45:31.7683317Z test_big_int_literals (__main__.TestScript) ... ok (0.030s) 2022-12-01T10:45:31.7683432Z test_binary_op_shape (__main__.TestScript) ... ok (2.205s) 2022-12-01T10:45:31.7683539Z test_bitwise_ops (__main__.TestScript) ... ok (0.186s) 2022-12-01T10:45:31.7683662Z test_block_input_grad_in_loop (__main__.TestScript) ... ok (0.086s) 2022-12-01T10:45:31.7683808Z test_bool_augassign_bitwise_and (__main__.TestScript) ... ok (0.037s) 2022-12-01T10:45:31.7683933Z test_bool_augassign_bitwise_or (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.7684058Z test_bool_augassign_bitwise_xor (__main__.TestScript) ... ok (0.035s) 2022-12-01T10:45:31.7684364Z test_bool_dispatch (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_bool_dispatch test_jit.py line 13479 2022-12-01T10:45:31.7684427Z due to: 2022-12-01T10:45:31.7684515Z Traceback (most recent call last): 2022-12-01T10:45:31.7684667Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7684911Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7685211Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.7685223Z 2022-12-01T10:45:31.7685281Z from user code: 2022-12-01T10:45:31.7685388Z File "test_jit.py", line 13480, in test_bool_dispatch 2022-12-01T10:45:31.7685543Z with torch._jit_internal._disable_emit_hooks(): # TODO: Python print broadcasting list 2022-12-01T10:45:31.7685548Z 2022-12-01T10:45:31.7685676Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7685734Z ========== 2022-12-01T10:45:31.7685795Z ok (0.089s) 2022-12-01T10:45:31.7685933Z test_boolean_literal_constant_metacompile (__main__.TestScript) ... ok (0.021s) 2022-12-01T10:45:31.7686043Z test_break_continue_error (__main__.TestScript) ... ok (0.012s) 2022-12-01T10:45:31.7686154Z test_breaks_continues (__main__.TestScript) ... ok (0.156s) 2022-12-01T10:45:31.7686261Z test_builtin_args (__main__.TestScript) ... ok (0.088s) 2022-12-01T10:45:31.7686419Z test_builtin_args_fails (__main__.TestScript) ... You have not run this instance of FileCheck! 2022-12-01T10:45:31.7686489Z FileCheck checks: 2022-12-01T10:45:31.7686593Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7686661Z FileCheck checks: 2022-12-01T10:45:31.7686751Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7686819Z FileCheck checks: 2022-12-01T10:45:31.7686916Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7687265Z FileCheck checks: 2022-12-01T10:45:31.7687366Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7687435Z FileCheck checks: 2022-12-01T10:45:31.7687535Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7687594Z FileCheck checks: 2022-12-01T10:45:31.7687691Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7687758Z FileCheck checks: 2022-12-01T10:45:31.7687855Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7687924Z FileCheck checks: 2022-12-01T10:45:31.7688022Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7688090Z FileCheck checks: 2022-12-01T10:45:31.7688177Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7688248Z FileCheck checks: 2022-12-01T10:45:31.7688425Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7688496Z FileCheck checks: 2022-12-01T10:45:31.7688593Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7688666Z FileCheck checks: 2022-12-01T10:45:31.7688828Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7688885Z FileCheck checks: 2022-12-01T10:45:31.7688978Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7689047Z FileCheck checks: 2022-12-01T10:45:31.7689142Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7689207Z FileCheck checks: 2022-12-01T10:45:31.7689303Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7689372Z FileCheck checks: 2022-12-01T10:45:31.7689458Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7689528Z FileCheck checks: 2022-12-01T10:45:31.7689626Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7689692Z FileCheck checks: 2022-12-01T10:45:31.7689823Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7689892Z FileCheck checks: 2022-12-01T10:45:31.7689978Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7690047Z FileCheck checks: 2022-12-01T10:45:31.7690142Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7690212Z FileCheck checks: 2022-12-01T10:45:31.7690307Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7690373Z FileCheck checks: 2022-12-01T10:45:31.7690468Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7690525Z FileCheck checks: 2022-12-01T10:45:31.7690618Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7690683Z FileCheck checks: 2022-12-01T10:45:31.7690779Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7690847Z FileCheck checks: 2022-12-01T10:45:31.7690941Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7691006Z FileCheck checks: 2022-12-01T10:45:31.7691092Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7691161Z FileCheck checks: 2022-12-01T10:45:31.7691255Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7691322Z FileCheck checks: 2022-12-01T10:45:31.7691417Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7691484Z FileCheck checks: 2022-12-01T10:45:31.7691580Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7691637Z FileCheck checks: 2022-12-01T10:45:31.7691732Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7691797Z FileCheck checks: 2022-12-01T10:45:31.7691892Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.7691959Z FileCheck checks: 2022-12-01T10:45:31.7692305Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[List[int], int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-12-01T10:45:31.7692392Z File "test_jit.py", line 10876 2022-12-01T10:45:31.7692462Z @torch.jit.script 2022-12-01T10:45:31.7692528Z def f6(a): 2022-12-01T10:45:31.7692608Z a.expand(size=[3, [4]]) 2022-12-01T10:45:31.7692744Z ~~~~~~ <--- HERE 2022-12-01T10:45:31.7692826Z (function emitListLiteral) 2022-12-01T10:45:31.7692890Z ok (0.019s) 2022-12-01T10:45:31.7693019Z test_builtin_function_attributes (__main__.TestScript) ... ok (0.017s) 2022-12-01T10:45:31.7693126Z test_builtin_use_as_value (__main__.TestScript) ... ok (0.008s) 2022-12-01T10:45:31.7693230Z test_call_ge (__main__.TestScript) ... ok (0.012s) 2022-12-01T10:45:31.7693607Z test_call_python_fn_from_script_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12570 2022-12-01T10:45:31.7693667Z due to: 2022-12-01T10:45:31.7693754Z Traceback (most recent call last): 2022-12-01T10:45:31.7693911Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7694162Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7694403Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7694442Z 2022-12-01T10:45:31.7694506Z from user code: 2022-12-01T10:45:31.7694639Z File "test_jit.py", line 12571, in 2022-12-01T10:45:31.7694757Z FileCheck().check("python_fn").run(str(script_fn.graph)) 2022-12-01T10:45:31.7694762Z 2022-12-01T10:45:31.7694886Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7694943Z ========== 2022-12-01T10:45:31.7695004Z ok (0.053s) 2022-12-01T10:45:31.7695324Z test_call_python_fn_from_script_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 12625 2022-12-01T10:45:31.7695385Z due to: 2022-12-01T10:45:31.7695493Z Traceback (most recent call last): 2022-12-01T10:45:31.7695642Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7695720Z raise Unsupported(msg) 2022-12-01T10:45:31.7695837Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7695844Z 2022-12-01T10:45:31.7695909Z from user code: 2022-12-01T10:45:31.7696008Z File "test_jit.py", line 12625, in ScriptMod 2022-12-01T10:45:31.7696117Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7696122Z 2022-12-01T10:45:31.7696247Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7696297Z ========== 2022-12-01T10:45:31.7696505Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 12626 2022-12-01T10:45:31.7696566Z due to: 2022-12-01T10:45:31.7696650Z Traceback (most recent call last): 2022-12-01T10:45:31.7696814Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7696938Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7697098Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7697103Z 2022-12-01T10:45:31.7697166Z from user code: 2022-12-01T10:45:31.7697251Z File "test_jit.py", line 12627, in __init__ 2022-12-01T10:45:31.7697339Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7697344Z 2022-12-01T10:45:31.7697468Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7697527Z ========== 2022-12-01T10:45:31.7697586Z ok (0.024s) 2022-12-01T10:45:31.7697721Z test_call_python_fn_from_traced_module (__main__.TestScript) ... ok (0.024s) 2022-12-01T10:45:31.7698096Z test_call_python_fn_from_tracing_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12371 2022-12-01T10:45:31.7698146Z due to: 2022-12-01T10:45:31.7698231Z Traceback (most recent call last): 2022-12-01T10:45:31.7698382Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7698627Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7698865Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7698872Z 2022-12-01T10:45:31.7698937Z from user code: 2022-12-01T10:45:31.7699081Z File "test_jit.py", line 12377, in 2022-12-01T10:45:31.7699209Z FileCheck().check("aten::neg").run(str(traced_fn.graph)) 2022-12-01T10:45:31.7699214Z 2022-12-01T10:45:31.7699343Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7699392Z ========== 2022-12-01T10:45:31.7699453Z ok (0.035s) 2022-12-01T10:45:31.7699584Z test_call_python_mod_from_script_fn (__main__.TestScript) ... ok (0.008s) 2022-12-01T10:45:31.7699910Z test_call_python_mod_from_script_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT PythonMod test_jit.py line 12639 2022-12-01T10:45:31.7699973Z due to: 2022-12-01T10:45:31.7700061Z Traceback (most recent call last): 2022-12-01T10:45:31.7700207Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7700310Z raise Unsupported(msg) 2022-12-01T10:45:31.7700428Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7700433Z 2022-12-01T10:45:31.7700498Z from user code: 2022-12-01T10:45:31.7700596Z File "test_jit.py", line 12639, in PythonMod 2022-12-01T10:45:31.7700688Z class PythonMod(torch.nn.Module): 2022-12-01T10:45:31.7700692Z 2022-12-01T10:45:31.7700818Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7700876Z ========== 2022-12-01T10:45:31.7701093Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 12648 2022-12-01T10:45:31.7701143Z due to: 2022-12-01T10:45:31.7701263Z Traceback (most recent call last): 2022-12-01T10:45:31.7701410Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7701487Z raise Unsupported(msg) 2022-12-01T10:45:31.7701603Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7701610Z 2022-12-01T10:45:31.7701675Z from user code: 2022-12-01T10:45:31.7701770Z File "test_jit.py", line 12648, in ScriptMod 2022-12-01T10:45:31.7701871Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7701876Z 2022-12-01T10:45:31.7702000Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7702059Z ========== 2022-12-01T10:45:31.7702270Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 12649 2022-12-01T10:45:31.7702329Z due to: 2022-12-01T10:45:31.7702415Z Traceback (most recent call last): 2022-12-01T10:45:31.7702580Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7702703Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7702852Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7702857Z 2022-12-01T10:45:31.7702925Z from user code: 2022-12-01T10:45:31.7703020Z File "test_jit.py", line 12650, in __init__ 2022-12-01T10:45:31.7703109Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7703114Z 2022-12-01T10:45:31.7703237Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7703295Z ========== 2022-12-01T10:45:31.7703357Z ok (0.016s) 2022-12-01T10:45:31.7703485Z test_call_python_mod_from_traced_module (__main__.TestScript) ... ok (0.024s) 2022-12-01T10:45:31.7703616Z test_call_python_mod_from_tracing_fn (__main__.TestScript) ... ok (0.013s) 2022-12-01T10:45:31.7703990Z test_call_script_fn_from_script_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12598 2022-12-01T10:45:31.7704054Z due to: 2022-12-01T10:45:31.7704142Z Traceback (most recent call last): 2022-12-01T10:45:31.7704293Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7704538Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7704783Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7704788Z 2022-12-01T10:45:31.7704855Z from user code: 2022-12-01T10:45:31.7704988Z File "test_jit.py", line 12602, in 2022-12-01T10:45:31.7705122Z FileCheck().check("prim::CallFunction").run(str(script_fn.graph)) 2022-12-01T10:45:31.7705127Z 2022-12-01T10:45:31.7705254Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7705314Z ========== 2022-12-01T10:45:31.7705372Z ok (0.034s) 2022-12-01T10:45:31.7705696Z test_call_script_fn_from_script_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 12669 2022-12-01T10:45:31.7705758Z due to: 2022-12-01T10:45:31.7705835Z Traceback (most recent call last): 2022-12-01T10:45:31.7705982Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7706093Z raise Unsupported(msg) 2022-12-01T10:45:31.7706212Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7706217Z 2022-12-01T10:45:31.7706281Z from user code: 2022-12-01T10:45:31.7706374Z File "test_jit.py", line 12669, in ScriptMod 2022-12-01T10:45:31.7706478Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7706483Z 2022-12-01T10:45:31.7706607Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7706656Z ========== 2022-12-01T10:45:31.7706867Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 12670 2022-12-01T10:45:31.7706927Z due to: 2022-12-01T10:45:31.7707045Z Traceback (most recent call last): 2022-12-01T10:45:31.7707212Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7707333Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7707491Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7707498Z 2022-12-01T10:45:31.7707562Z from user code: 2022-12-01T10:45:31.7707646Z File "test_jit.py", line 12671, in __init__ 2022-12-01T10:45:31.7707733Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7707738Z 2022-12-01T10:45:31.7707864Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7707920Z ========== 2022-12-01T10:45:31.7707982Z ok (0.027s) 2022-12-01T10:45:31.7708356Z test_call_script_fn_from_tracing_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12435 2022-12-01T10:45:31.7708417Z due to: 2022-12-01T10:45:31.7708495Z Traceback (most recent call last): 2022-12-01T10:45:31.7708647Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7708893Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7709138Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7709143Z 2022-12-01T10:45:31.7709207Z from user code: 2022-12-01T10:45:31.7709349Z File "test_jit.py", line 12439, in 2022-12-01T10:45:31.7709498Z FileCheck().check("prim::CallFunction").check("aten::add").run(str(traced_fn.graph)) 2022-12-01T10:45:31.7709504Z 2022-12-01T10:45:31.7709629Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7709688Z ========== 2022-12-01T10:45:31.7709741Z ok (0.044s) 2022-12-01T10:45:31.7710060Z test_call_script_mod_from_script_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 12606 2022-12-01T10:45:31.7710121Z due to: 2022-12-01T10:45:31.7710208Z Traceback (most recent call last): 2022-12-01T10:45:31.7710353Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7710435Z raise Unsupported(msg) 2022-12-01T10:45:31.7710555Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7710561Z 2022-12-01T10:45:31.7710617Z from user code: 2022-12-01T10:45:31.7710715Z File "test_jit.py", line 12606, in ScriptMod 2022-12-01T10:45:31.7710826Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7710830Z 2022-12-01T10:45:31.7710955Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7711015Z ========== 2022-12-01T10:45:31.7711223Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 12607 2022-12-01T10:45:31.7711282Z due to: 2022-12-01T10:45:31.7711372Z Traceback (most recent call last): 2022-12-01T10:45:31.7711527Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7711649Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7711809Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7711845Z 2022-12-01T10:45:31.7711910Z from user code: 2022-12-01T10:45:31.7712003Z File "test_jit.py", line 12608, in __init__ 2022-12-01T10:45:31.7712086Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7712091Z 2022-12-01T10:45:31.7712214Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7712263Z ========== 2022-12-01T10:45:31.7712326Z ok (0.016s) 2022-12-01T10:45:31.7712650Z test_call_script_mod_from_script_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod1 test_jit.py line 12684 2022-12-01T10:45:31.7712710Z due to: 2022-12-01T10:45:31.7712826Z Traceback (most recent call last): 2022-12-01T10:45:31.7712972Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7713050Z raise Unsupported(msg) 2022-12-01T10:45:31.7713168Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7713175Z 2022-12-01T10:45:31.7713232Z from user code: 2022-12-01T10:45:31.7713330Z File "test_jit.py", line 12684, in ScriptMod1 2022-12-01T10:45:31.7713441Z class ScriptMod1(torch.jit.ScriptModule): 2022-12-01T10:45:31.7713446Z 2022-12-01T10:45:31.7713571Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7713628Z ========== 2022-12-01T10:45:31.7713845Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 12693 2022-12-01T10:45:31.7713905Z due to: 2022-12-01T10:45:31.7713981Z Traceback (most recent call last): 2022-12-01T10:45:31.7714129Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7714209Z raise Unsupported(msg) 2022-12-01T10:45:31.7714328Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7714332Z 2022-12-01T10:45:31.7714397Z from user code: 2022-12-01T10:45:31.7714492Z File "test_jit.py", line 12693, in ScriptMod 2022-12-01T10:45:31.7714602Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7714609Z 2022-12-01T10:45:31.7714732Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7714781Z ========== 2022-12-01T10:45:31.7714992Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 12694 2022-12-01T10:45:31.7715051Z due to: 2022-12-01T10:45:31.7715139Z Traceback (most recent call last): 2022-12-01T10:45:31.7715302Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7715424Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7715581Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7715588Z 2022-12-01T10:45:31.7715653Z from user code: 2022-12-01T10:45:31.7715739Z File "test_jit.py", line 12695, in __init__ 2022-12-01T10:45:31.7715827Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7715832Z 2022-12-01T10:45:31.7715955Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7716015Z ========== 2022-12-01T10:45:31.7716226Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 12685 2022-12-01T10:45:31.7716287Z due to: 2022-12-01T10:45:31.7716370Z Traceback (most recent call last): 2022-12-01T10:45:31.7716523Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7716645Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7716802Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7716807Z 2022-12-01T10:45:31.7716872Z from user code: 2022-12-01T10:45:31.7716966Z File "test_jit.py", line 12686, in __init__ 2022-12-01T10:45:31.7717054Z super(ScriptMod1, self).__init__() 2022-12-01T10:45:31.7717060Z 2022-12-01T10:45:31.7717186Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7717240Z ========== 2022-12-01T10:45:31.7717292Z ok (0.020s) 2022-12-01T10:45:31.7717507Z test_call_script_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s) 2022-12-01T10:45:31.7717882Z test_call_traced_fn_from_tracing_fn (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12405 2022-12-01T10:45:31.7717942Z due to: 2022-12-01T10:45:31.7718028Z Traceback (most recent call last): 2022-12-01T10:45:31.7718179Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7718426Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7718694Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7718700Z 2022-12-01T10:45:31.7718757Z from user code: 2022-12-01T10:45:31.7718900Z File "test_jit.py", line 12409, in 2022-12-01T10:45:31.7719049Z FileCheck().check("traced_fn").check("prim::CallFunction").check("aten::add") \ 2022-12-01T10:45:31.7719054Z 2022-12-01T10:45:31.7719181Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7719240Z ========== 2022-12-01T10:45:31.7719301Z ok (0.063s) 2022-12-01T10:45:31.7719463Z test_call_traced_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s) 2022-12-01T10:45:31.7719735Z test_calls_in_type_annotations (__main__.TestScript) ... /opt/conda/lib/python3.7/site-packages/torch/__init__.py 2022-12-01T10:45:31.7719789Z ok (0.009s) 2022-12-01T10:45:31.7720166Z test_canonicalize_control_outputs (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 8419 2022-12-01T10:45:31.7720227Z due to: 2022-12-01T10:45:31.7720314Z Traceback (most recent call last): 2022-12-01T10:45:31.7720472Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7720589Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7720883Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7720888Z 2022-12-01T10:45:31.7720954Z from user code: 2022-12-01T10:45:31.7721087Z File "test_jit.py", line 8434, in 2022-12-01T10:45:31.7721173Z test_all_outputs(test.graph) 2022-12-01T10:45:31.7721178Z 2022-12-01T10:45:31.7721302Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7721360Z ========== 2022-12-01T10:45:31.7721422Z ok (0.241s) 2022-12-01T10:45:31.7721592Z test_cast (__main__.TestScript) ... skip: RuntimeError: VariableType::ID() not implemented (0.001s) 2022-12-01T10:45:31.7721690Z test_cat (__main__.TestScript) ... ok (0.028s) 2022-12-01T10:45:31.7722000Z test_cat_lifts (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5422 2022-12-01T10:45:31.7722053Z due to: 2022-12-01T10:45:31.7722141Z Traceback (most recent call last): 2022-12-01T10:45:31.7722297Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7722411Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7722707Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7722712Z 2022-12-01T10:45:31.7722775Z from user code: 2022-12-01T10:45:31.7722896Z File "test_jit.py", line 5426, in 2022-12-01T10:45:31.7723001Z for g in [foo.graph, foo2.graph, foo3.graph]: 2022-12-01T10:45:31.7723007Z 2022-12-01T10:45:31.7723125Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7723186Z ========== 2022-12-01T10:45:31.7723247Z ok (0.055s) 2022-12-01T10:45:31.7723379Z test_chr (__main__.TestScript) ... ok (0.034s) 2022-12-01T10:45:31.7723483Z test_circular_dependency (__main__.TestScript) 2022-12-01T10:45:31.7723775Z https://github.com/pytorch/pytorch/issues/25871 ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A test_jit.py line 4606 2022-12-01T10:45:31.7723835Z due to: 2022-12-01T10:45:31.7723913Z Traceback (most recent call last): 2022-12-01T10:45:31.7724059Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7724140Z raise Unsupported(msg) 2022-12-01T10:45:31.7724257Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7724263Z 2022-12-01T10:45:31.7724328Z from user code: 2022-12-01T10:45:31.7724443Z File "test_jit.py", line 4606, in A 2022-12-01T10:45:31.7724541Z class A(torch.jit.ScriptModule): 2022-12-01T10:45:31.7724546Z 2022-12-01T10:45:31.7724673Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7724722Z ========== 2022-12-01T10:45:31.7724927Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT B test_jit.py line 4614 2022-12-01T10:45:31.7724984Z due to: 2022-12-01T10:45:31.7725071Z Traceback (most recent call last): 2022-12-01T10:45:31.7725218Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7725297Z raise Unsupported(msg) 2022-12-01T10:45:31.7725414Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7725419Z 2022-12-01T10:45:31.7725476Z from user code: 2022-12-01T10:45:31.7725564Z File "test_jit.py", line 4614, in B 2022-12-01T10:45:31.7725659Z class B(torch.jit.ScriptModule): 2022-12-01T10:45:31.7725664Z 2022-12-01T10:45:31.7725792Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7725848Z ========== 2022-12-01T10:45:31.7726047Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT C test_jit.py line 4625 2022-12-01T10:45:31.7726106Z due to: 2022-12-01T10:45:31.7726190Z Traceback (most recent call last): 2022-12-01T10:45:31.7726329Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7726410Z raise Unsupported(msg) 2022-12-01T10:45:31.7726529Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7726534Z 2022-12-01T10:45:31.7726597Z from user code: 2022-12-01T10:45:31.7726683Z File "test_jit.py", line 4625, in C 2022-12-01T10:45:31.7726778Z class C(torch.jit.ScriptModule): 2022-12-01T10:45:31.7726783Z 2022-12-01T10:45:31.7726904Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7727073Z ========== 2022-12-01T10:45:31.7727285Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 4626 2022-12-01T10:45:31.7727347Z due to: 2022-12-01T10:45:31.7727437Z Traceback (most recent call last): 2022-12-01T10:45:31.7727604Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7727723Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7727882Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7727887Z 2022-12-01T10:45:31.7727951Z from user code: 2022-12-01T10:45:31.7728036Z File "test_jit.py", line 4627, in __init__ 2022-12-01T10:45:31.7728114Z super(C, self).__init__() 2022-12-01T10:45:31.7728119Z 2022-12-01T10:45:31.7728245Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7728352Z ========== 2022-12-01T10:45:31.7728575Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 4615 2022-12-01T10:45:31.7728637Z due to: 2022-12-01T10:45:31.7728724Z Traceback (most recent call last): 2022-12-01T10:45:31.7728879Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7729000Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7729158Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7729218Z 2022-12-01T10:45:31.7729287Z from user code: 2022-12-01T10:45:31.7729381Z File "test_jit.py", line 4616, in __init__ 2022-12-01T10:45:31.7729455Z super(B, self).__init__() 2022-12-01T10:45:31.7729460Z 2022-12-01T10:45:31.7729585Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7729642Z ========== 2022-12-01T10:45:31.7729840Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 4607 2022-12-01T10:45:31.7729898Z due to: 2022-12-01T10:45:31.7729987Z Traceback (most recent call last): 2022-12-01T10:45:31.7730149Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7730313Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7730474Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7730479Z 2022-12-01T10:45:31.7730542Z from user code: 2022-12-01T10:45:31.7730635Z File "test_jit.py", line 4608, in __init__ 2022-12-01T10:45:31.7730704Z super(A, self).__init__() 2022-12-01T10:45:31.7730709Z 2022-12-01T10:45:31.7730835Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7730893Z ========== 2022-12-01T10:45:31.7730954Z ok (0.045s) 2022-12-01T10:45:31.7731072Z test_class_as_attribute (__main__.TestScript) ... ok (0.021s) 2022-12-01T10:45:31.7731359Z test_class_attribute (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3415 2022-12-01T10:45:31.7731419Z due to: 2022-12-01T10:45:31.7731497Z Traceback (most recent call last): 2022-12-01T10:45:31.7731660Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7731782Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7731939Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7731944Z 2022-12-01T10:45:31.7732009Z from user code: 2022-12-01T10:45:31.7732102Z File "test_jit.py", line 3416, in __init__ 2022-12-01T10:45:31.7732176Z super(M, self).__init__() 2022-12-01T10:45:31.7732181Z 2022-12-01T10:45:31.7732306Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7732355Z ========== 2022-12-01T10:45:31.7732415Z ok (0.009s) 2022-12-01T10:45:31.7732709Z test_class_attribute_in_script (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 3422 2022-12-01T10:45:31.7732768Z due to: 2022-12-01T10:45:31.7732853Z Traceback (most recent call last): 2022-12-01T10:45:31.7732998Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7733079Z raise Unsupported(msg) 2022-12-01T10:45:31.7733187Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7733192Z 2022-12-01T10:45:31.7733258Z from user code: 2022-12-01T10:45:31.7733343Z File "test_jit.py", line 3422, in M 2022-12-01T10:45:31.7733442Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7733447Z 2022-12-01T10:45:31.7733601Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7733691Z ========== 2022-12-01T10:45:31.7733934Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3425 2022-12-01T10:45:31.7733992Z due to: 2022-12-01T10:45:31.7734069Z Traceback (most recent call last): 2022-12-01T10:45:31.7734229Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7734350Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7734508Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7734515Z 2022-12-01T10:45:31.7734579Z from user code: 2022-12-01T10:45:31.7734671Z File "test_jit.py", line 3426, in __init__ 2022-12-01T10:45:31.7734746Z super(M, self).__init__() 2022-12-01T10:45:31.7734751Z 2022-12-01T10:45:31.7734866Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7734968Z ========== 2022-12-01T10:45:31.7735030Z ok (0.009s) 2022-12-01T10:45:31.7735173Z test_class_with_comment_at_lower_indentation (__main__.TestScript) ... ok (0.007s) 2022-12-01T10:45:31.7735280Z test_code_with_constants (__main__.TestScript) 2022-12-01T10:45:31.7735449Z Check that the `code_with_constants` property correctly returns graph CONSTANTS in the ... ok (0.031s) 2022-12-01T10:45:31.7735562Z test_code_with_constants_restore (__main__.TestScript) 2022-12-01T10:45:31.7735737Z Check that the `code_with_constants` property correctly works on restoration after save() + load() ... ok (0.032s) 2022-12-01T10:45:31.7735877Z test_comment_ignore_indent (__main__.TestScript) ... ok (0.012s) 2022-12-01T10:45:31.7736001Z test_compare_two_bool_inputs (__main__.TestScript) ... ok (0.480s) 2022-12-01T10:45:31.7736196Z test_compile_module_with_constant (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:45:31.7736320Z test_conditional_casting (__main__.TestScript) ... ok (0.193s) 2022-12-01T10:45:31.7736598Z test_constant_as_attr (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9590 2022-12-01T10:45:31.7736658Z due to: 2022-12-01T10:45:31.7736745Z Traceback (most recent call last): 2022-12-01T10:45:31.7736890Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7736961Z raise Unsupported(msg) 2022-12-01T10:45:31.7737079Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7737084Z 2022-12-01T10:45:31.7737150Z from user code: 2022-12-01T10:45:31.7737240Z File "test_jit.py", line 9590, in M 2022-12-01T10:45:31.7737335Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7737341Z 2022-12-01T10:45:31.7737468Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7737527Z ========== 2022-12-01T10:45:31.7737726Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9593 2022-12-01T10:45:31.7737785Z due to: 2022-12-01T10:45:31.7737871Z Traceback (most recent call last): 2022-12-01T10:45:31.7738035Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7738156Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7738312Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7738318Z 2022-12-01T10:45:31.7738383Z from user code: 2022-12-01T10:45:31.7738473Z File "test_jit.py", line 9594, in __init__ 2022-12-01T10:45:31.7738541Z super(M, self).__init__() 2022-12-01T10:45:31.7738545Z 2022-12-01T10:45:31.7738671Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7738726Z ========== 2022-12-01T10:45:31.7738787Z ok (0.013s) 2022-12-01T10:45:31.7739185Z test_constant_pooling_introduce_aliasing (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5313 2022-12-01T10:45:31.7739247Z due to: 2022-12-01T10:45:31.7739333Z Traceback (most recent call last): 2022-12-01T10:45:31.7739490Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7739596Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7739891Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7739896Z 2022-12-01T10:45:31.7739962Z from user code: 2022-12-01T10:45:31.7740117Z File "test_jit.py", line 5319, in 2022-12-01T10:45:31.7740274Z self.run_pass('constant_propagation', foo.graph) 2022-12-01T10:45:31.7740279Z 2022-12-01T10:45:31.7740403Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7740462Z ========== 2022-12-01T10:45:31.7740522Z ok (0.022s) 2022-12-01T10:45:31.7740892Z test_constant_pooling_none (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5284 2022-12-01T10:45:31.7740951Z due to: 2022-12-01T10:45:31.7741038Z Traceback (most recent call last): 2022-12-01T10:45:31.7741195Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7741309Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7741602Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7741607Z 2022-12-01T10:45:31.7741700Z from user code: 2022-12-01T10:45:31.7741836Z File "test_jit.py", line 5292, in 2022-12-01T10:45:31.7741910Z graph_str = str(test.graph) 2022-12-01T10:45:31.7741914Z 2022-12-01T10:45:31.7742038Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7742100Z ========== 2022-12-01T10:45:31.7742162Z ok (0.039s) 2022-12-01T10:45:31.7742537Z test_constant_pooling_same_identity (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5304 2022-12-01T10:45:31.7742598Z due to: 2022-12-01T10:45:31.7742682Z Traceback (most recent call last): 2022-12-01T10:45:31.7742830Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7742942Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7743235Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7743240Z 2022-12-01T10:45:31.7743305Z from user code: 2022-12-01T10:45:31.7743448Z File "test_jit.py", line 5305, in 2022-12-01T10:45:31.7743619Z self.run_pass('constant_propagation', foo_script.graph) 2022-12-01T10:45:31.7743626Z 2022-12-01T10:45:31.7743751Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7743807Z ========== 2022-12-01T10:45:31.7743868Z ok (0.025s) 2022-12-01T10:45:31.7743974Z test_context_manager (__main__.TestScript) ... ok (0.026s) 2022-12-01T10:45:31.7744079Z test_conv_error (__main__.TestScript) ... ok (0.028s) 2022-12-01T10:45:31.7744188Z test_convert_base (__main__.TestScript) ... ok (0.055s) 2022-12-01T10:45:31.7744310Z test_cpp_function_tensor_str (__main__.TestScript) ... ok (0.035s) 2022-12-01T10:45:31.7744476Z test_cpp_module_iterator (__main__.TestScript) ... skip: TorchDynamo fails with unknown reason (0.003s) 2022-12-01T10:45:31.7744745Z test_desugar_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.7744804Z due to: 2022-12-01T10:45:31.7744882Z Traceback (most recent call last): 2022-12-01T10:45:31.7745135Z File "/opt/conda/lib/python3.7/site-packages/torch/_prims/__init__.py", line 1152, in _greater_than_reduce 2022-12-01T10:45:31.7745212Z assert x < len(shape) 2022-12-01T10:45:31.7745280Z AssertionError 2022-12-01T10:45:31.7745285Z 2022-12-01T10:45:31.7745352Z from user code: 2022-12-01T10:45:31.7745430Z File "", line 3, in fn 2022-12-01T10:45:31.7745435Z 2022-12-01T10:45:31.7745556Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7745613Z ========== 2022-12-01T10:45:31.7745805Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn test_jit.py line 8195 2022-12-01T10:45:31.7745867Z due to: 2022-12-01T10:45:31.7745955Z Traceback (most recent call last): 2022-12-01T10:45:31.7746205Z File "/opt/conda/lib/python3.7/site-packages/torch/_prims/__init__.py", line 1152, in _greater_than_reduce 2022-12-01T10:45:31.7746279Z assert x < len(shape) 2022-12-01T10:45:31.7746346Z AssertionError 2022-12-01T10:45:31.7746350Z 2022-12-01T10:45:31.7746413Z from user code: 2022-12-01T10:45:31.7746519Z File "test_jit.py", line 8197, in fn 2022-12-01T10:45:31.7746625Z b = torch.nn.functional.prelu(x, slope) 2022-12-01T10:45:31.7746630Z 2022-12-01T10:45:31.7746756Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7746813Z ========== 2022-12-01T10:45:31.7746875Z ok (0.031s) 2022-12-01T10:45:31.7746986Z test_device_kwarg (__main__.TestScript) ... ok (0.021s) 2022-12-01T10:45:31.7747093Z test_device_type (__main__.TestScript) ... ok (0.051s) 2022-12-01T10:45:31.7747220Z test_device_type_cuda (__main__.TestScript) ... skip: Requires CUDA (0.000s) 2022-12-01T10:45:31.7747318Z test_dir (__main__.TestScript) ... ok (0.005s) 2022-12-01T10:45:31.7747451Z test_divmod (__main__.TestScript) ... ok (0.177s) 2022-12-01T10:45:31.7747609Z test_dominated_bailout (__main__.TestScript) ... skip: bailouts are being deprecated (0.002s) 2022-12-01T10:45:31.7747905Z test_dropout_eval (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptedConv2d test_jit.py line 7767 2022-12-01T10:45:31.7747969Z due to: 2022-12-01T10:45:31.7748054Z Traceback (most recent call last): 2022-12-01T10:45:31.7748199Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7748269Z raise Unsupported(msg) 2022-12-01T10:45:31.7748386Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7748391Z 2022-12-01T10:45:31.7748456Z from user code: 2022-12-01T10:45:31.7748560Z File "test_jit.py", line 7767, in ScriptedConv2d 2022-12-01T10:45:31.7748676Z class ScriptedConv2d(torch.jit.ScriptModule): 2022-12-01T10:45:31.7748681Z 2022-12-01T10:45:31.7748807Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7748867Z ========== 2022-12-01T10:45:31.7749080Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 7779 2022-12-01T10:45:31.7749131Z due to: 2022-12-01T10:45:31.7749217Z Traceback (most recent call last): 2022-12-01T10:45:31.7749364Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7749445Z raise Unsupported(msg) 2022-12-01T10:45:31.7749563Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7749568Z 2022-12-01T10:45:31.7749631Z from user code: 2022-12-01T10:45:31.7749727Z File "test_jit.py", line 7779, in ScriptMod 2022-12-01T10:45:31.7749827Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7749832Z 2022-12-01T10:45:31.7749953Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7750010Z ========== 2022-12-01T10:45:31.7750218Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 7780 2022-12-01T10:45:31.7750279Z due to: 2022-12-01T10:45:31.7750374Z Traceback (most recent call last): 2022-12-01T10:45:31.7750535Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7750658Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7750808Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7750813Z 2022-12-01T10:45:31.7750878Z from user code: 2022-12-01T10:45:31.7750972Z File "test_jit.py", line 7781, in __init__ 2022-12-01T10:45:31.7751061Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7751066Z 2022-12-01T10:45:31.7751191Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7751247Z ========== 2022-12-01T10:45:31.7751450Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 7768 2022-12-01T10:45:31.7751501Z due to: 2022-12-01T10:45:31.7751588Z Traceback (most recent call last): 2022-12-01T10:45:31.7751752Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7751871Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7752029Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7752066Z 2022-12-01T10:45:31.7752132Z from user code: 2022-12-01T10:45:31.7752223Z File "test_jit.py", line 7769, in __init__ 2022-12-01T10:45:31.7752319Z super(ScriptedConv2d, self).__init__() 2022-12-01T10:45:31.7752325Z 2022-12-01T10:45:31.7752440Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7752500Z ========== 2022-12-01T10:45:31.7752562Z ok (0.225s) 2022-12-01T10:45:31.7752680Z test_dropout_script (__main__.TestScript) ... ok (0.038s) 2022-12-01T10:45:31.7752790Z test_dtype_attr (__main__.TestScript) ... ok (0.011s) 2022-12-01T10:45:31.7753150Z test_dtype_op_shape (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 8611 2022-12-01T10:45:31.7753210Z due to: 2022-12-01T10:45:31.7753287Z Traceback (most recent call last): 2022-12-01T10:45:31.7753444Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7753514Z assert not kwargs 2022-12-01T10:45:31.7753585Z AssertionError 2022-12-01T10:45:31.7753590Z 2022-12-01T10:45:31.7753654Z from user code: 2022-12-01T10:45:31.7753783Z File "test_jit.py", line 8623, in 2022-12-01T10:45:31.7753892Z code = template.format(return_line=return_line) 2022-12-01T10:45:31.7753897Z 2022-12-01T10:45:31.7754020Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7754069Z ========== 2022-12-01T10:45:31.7754130Z ok (0.139s) 2022-12-01T10:45:31.7754242Z test_dtype_op_shape2 (__main__.TestScript) ... ok (0.102s) 2022-12-01T10:45:31.7754593Z test_early_return_closure (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13866 2022-12-01T10:45:31.7754653Z due to: 2022-12-01T10:45:31.7754739Z Traceback (most recent call last): 2022-12-01T10:45:31.7754889Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7755139Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7755410Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7755415Z 2022-12-01T10:45:31.7755478Z from user code: 2022-12-01T10:45:31.7755609Z File "test_jit.py", line 13867, in 2022-12-01T10:45:31.7755709Z cu = torch.jit.CompilationUnit(code) 2022-12-01T10:45:31.7755714Z 2022-12-01T10:45:31.7755839Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7755897Z ========== 2022-12-01T10:45:31.7755958Z ok (0.015s) 2022-12-01T10:45:31.7756305Z test_early_return_fork_join (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13929 2022-12-01T10:45:31.7756356Z due to: 2022-12-01T10:45:31.7756441Z Traceback (most recent call last): 2022-12-01T10:45:31.7756590Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7756833Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7757076Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7757081Z 2022-12-01T10:45:31.7757146Z from user code: 2022-12-01T10:45:31.7757281Z File "test_jit.py", line 13936, in 2022-12-01T10:45:31.7757420Z FileCheck().check("with prim::fork").check("prim::If").check("return")\ 2022-12-01T10:45:31.7757426Z 2022-12-01T10:45:31.7757544Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7757601Z ========== 2022-12-01T10:45:31.7757663Z ok (0.042s) 2022-12-01T10:45:31.7758009Z test_early_return_rewrite (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 14289 2022-12-01T10:45:31.7758117Z due to: 2022-12-01T10:45:31.7758203Z Traceback (most recent call last): 2022-12-01T10:45:31.7758354Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7758593Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7758821Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7758826Z 2022-12-01T10:45:31.7758889Z from user code: 2022-12-01T10:45:31.7759022Z File "test_jit.py", line 14290, in 2022-12-01T10:45:31.7759212Z FileCheck().check_count("prim::If", 1, exactly=True).run(torch.jit.script(test_foo).graph) 2022-12-01T10:45:31.7759217Z 2022-12-01T10:45:31.7759343Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7759403Z ========== 2022-12-01T10:45:31.7759466Z ok (0.049s) 2022-12-01T10:45:31.7759594Z test_early_return_type_refinement (__main__.TestScript) ... ok (0.039s) 2022-12-01T10:45:31.7759704Z test_early_returns_loops (__main__.TestScript) ... ok (0.068s) 2022-12-01T10:45:31.7759820Z test_ellipsis_const_end (__main__.TestScript) ... ok (0.032s) 2022-12-01T10:45:31.7759939Z test_ellipsis_const_mid (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.7760063Z test_ellipsis_const_mid_select (__main__.TestScript) ... ok (0.033s) 2022-12-01T10:45:31.7760182Z test_ellipsis_const_start (__main__.TestScript) ... ok (0.030s) 2022-12-01T10:45:31.7760291Z test_ellipsis_end (__main__.TestScript) ... ok (0.030s) 2022-12-01T10:45:31.7760401Z test_ellipsis_mid (__main__.TestScript) ... ok (0.030s) 2022-12-01T10:45:31.7760515Z test_ellipsis_mid_select (__main__.TestScript) ... ok (0.032s) 2022-12-01T10:45:31.7760618Z test_ellipsis_start (__main__.TestScript) ... ok (0.030s) 2022-12-01T10:45:31.7760744Z test_embedding_renorm_grad_error (__main__.TestScript) ... ok (0.042s) 2022-12-01T10:45:31.7760871Z test_empty_like_memory_format_bc (__main__.TestScript) ... ok (0.032s) 2022-12-01T10:45:31.7761179Z test_empty_tuple_str (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_empty_tuple_str test_jit.py line 11657 2022-12-01T10:45:31.7761239Z due to: 2022-12-01T10:45:31.7761326Z Traceback (most recent call last): 2022-12-01T10:45:31.7761477Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7761722Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7761957Z AssertionError: torch.* op returned non-Tensor TupleType call_function 2022-12-01T10:45:31.7761962Z 2022-12-01T10:45:31.7762031Z from user code: 2022-12-01T10:45:31.7762141Z File "test_jit.py", line 11658, in test_empty_tuple_str 2022-12-01T10:45:31.7762245Z empty_tuple_type = torch._C.TupleType([]) 2022-12-01T10:45:31.7762252Z 2022-12-01T10:45:31.7762379Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7762436Z ========== 2022-12-01T10:45:31.7762495Z ok (0.003s) 2022-12-01T10:45:31.7762610Z test_enumerate_modlist_range (__main__.TestScript) ... ok (0.049s) 2022-12-01T10:45:31.7762949Z test_erase_number_types (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11266 2022-12-01T10:45:31.7763011Z due to: 2022-12-01T10:45:31.7763099Z Traceback (most recent call last): 2022-12-01T10:45:31.7763260Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7763375Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7763668Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7763674Z 2022-12-01T10:45:31.7763737Z from user code: 2022-12-01T10:45:31.7763898Z File "test_jit.py", line 11266, in 2022-12-01T10:45:31.7763986Z graph = torch.jit.script(func).graph 2022-12-01T10:45:31.7763991Z 2022-12-01T10:45:31.7764116Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7764176Z ========== 2022-12-01T10:45:31.7764237Z ok (0.020s) 2022-12-01T10:45:31.7764336Z test_error (__main__.TestScript) ... ok (0.049s) 2022-12-01T10:45:31.7764451Z test_error_stacktrace (__main__.TestScript) ... ok (0.079s) 2022-12-01T10:45:31.7764574Z test_error_stacktrace_interface (__main__.TestScript) ... ok (0.100s) 2022-12-01T10:45:31.7764899Z test_eval_python (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT OldM test_jit.py line 3711 2022-12-01T10:45:31.7764960Z due to: 2022-12-01T10:45:31.7765047Z Traceback (most recent call last): 2022-12-01T10:45:31.7765194Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7765275Z raise Unsupported(msg) 2022-12-01T10:45:31.7765394Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7765399Z 2022-12-01T10:45:31.7765464Z from user code: 2022-12-01T10:45:31.7765552Z File "test_jit.py", line 3711, in OldM 2022-12-01T10:45:31.7765641Z class OldM(torch.jit.ScriptModule): 2022-12-01T10:45:31.7765645Z 2022-12-01T10:45:31.7765770Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7765828Z ========== 2022-12-01T10:45:31.7766033Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test test_jit.py line 3684 2022-12-01T10:45:31.7766093Z due to: 2022-12-01T10:45:31.7766184Z Traceback (most recent call last): 2022-12-01T10:45:31.7766409Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7766581Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7766771Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7766778Z 2022-12-01T10:45:31.7766845Z from user code: 2022-12-01T10:45:31.7766935Z File "test_jit.py", line 3685, in _test 2022-12-01T10:45:31.7767152Z self.assertTrue(m(torch.ones(2, 2))) 2022-12-01T10:45:31.7767158Z 2022-12-01T10:45:31.7767283Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7767342Z ========== 2022-12-01T10:45:31.7767549Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3712 2022-12-01T10:45:31.7767600Z due to: 2022-12-01T10:45:31.7767685Z Traceback (most recent call last): 2022-12-01T10:45:31.7767851Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7767973Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7768133Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7768138Z 2022-12-01T10:45:31.7768204Z from user code: 2022-12-01T10:45:31.7768296Z File "test_jit.py", line 3713, in __init__ 2022-12-01T10:45:31.7768430Z super(OldM, self).__init__() 2022-12-01T10:45:31.7768441Z 2022-12-01T10:45:31.7768558Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7768612Z ========== 2022-12-01T10:45:31.7768674Z ok (0.032s) 2022-12-01T10:45:31.7768799Z test_exception_exits_closure (__main__.TestScript) ... ok (0.021s) 2022-12-01T10:45:31.7769139Z test_exceptions_with_control_flow (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13952 2022-12-01T10:45:31.7769203Z due to: 2022-12-01T10:45:31.7769289Z Traceback (most recent call last): 2022-12-01T10:45:31.7769443Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7769555Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7769848Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7769912Z 2022-12-01T10:45:31.7769980Z from user code: 2022-12-01T10:45:31.7770099Z File "test_jit.py", line 13952, in 2022-12-01T10:45:31.7770188Z g = torch.jit.script(func).graph 2022-12-01T10:45:31.7770193Z 2022-12-01T10:45:31.7770319Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7770377Z ========== 2022-12-01T10:45:31.7770429Z ok (0.083s) 2022-12-01T10:45:31.7770529Z test_expand (__main__.TestScript) ... ok (0.076s) 2022-12-01T10:45:31.7770626Z test_fibb (__main__.TestScript) ... ok (0.056s) 2022-12-01T10:45:31.7770744Z test_fibb_totally_better (__main__.TestScript) ... ok (0.037s) 2022-12-01T10:45:31.7771146Z test_file_format_serialization (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12949 2022-12-01T10:45:31.7771209Z due to: 2022-12-01T10:45:31.7771294Z Traceback (most recent call last): 2022-12-01T10:45:31.7771440Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7771687Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7771967Z AssertionError: torch.* op returned non-Tensor PyTorchFileWriter call_function 2022-12-01T10:45:31.7771973Z 2022-12-01T10:45:31.7772037Z from user code: 2022-12-01T10:45:31.7772177Z File "test_jit.py", line 12950, in 2022-12-01T10:45:31.7772286Z writer = torch._C.PyTorchFileWriter(filename) 2022-12-01T10:45:31.7772290Z 2022-12-01T10:45:31.7772418Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7772477Z ========== 2022-12-01T10:45:31.7772535Z ok (0.011s) 2022-12-01T10:45:31.7772638Z test_file_line_error (__main__.TestScript) ... ok (0.026s) 2022-12-01T10:45:31.7772761Z test_file_line_error_class_defn (__main__.TestScript) ... ok (0.017s) 2022-12-01T10:45:31.7773094Z test_file_line_graph (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 4416 2022-12-01T10:45:31.7773154Z due to: 2022-12-01T10:45:31.7773240Z Traceback (most recent call last): 2022-12-01T10:45:31.7773389Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7773633Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7773871Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7773876Z 2022-12-01T10:45:31.7773935Z from user code: 2022-12-01T10:45:31.7774059Z File "test_jit.py", line 4417, in 2022-12-01T10:45:31.7774234Z fc = FileCheck().check('test_jit.py:{}:19'.format(lineno + 1)) 2022-12-01T10:45:31.7774239Z 2022-12-01T10:45:31.7774366Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7774424Z ========== 2022-12-01T10:45:31.7774484Z ok (0.026s) 2022-12-01T10:45:31.7774777Z test_file_line_save_load (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Scripted test_jit.py line 4422 2022-12-01T10:45:31.7774828Z due to: 2022-12-01T10:45:31.7774914Z Traceback (most recent call last): 2022-12-01T10:45:31.7775059Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7775136Z raise Unsupported(msg) 2022-12-01T10:45:31.7775256Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7775261Z 2022-12-01T10:45:31.7775328Z from user code: 2022-12-01T10:45:31.7775426Z File "test_jit.py", line 4422, in Scripted 2022-12-01T10:45:31.7775532Z class Scripted(torch.jit.ScriptModule): 2022-12-01T10:45:31.7775537Z 2022-12-01T10:45:31.7775652Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7775710Z ========== 2022-12-01T10:45:31.7775803Z ok (0.015s) 2022-12-01T10:45:31.7776112Z test_file_line_string (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_file_line_string test_jit.py line 4441 2022-12-01T10:45:31.7776172Z due to: 2022-12-01T10:45:31.7776258Z Traceback (most recent call last): 2022-12-01T10:45:31.7776408Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7776696Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7776975Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7777011Z 2022-12-01T10:45:31.7777076Z from user code: 2022-12-01T10:45:31.7777183Z File "test_jit.py", line 4445, in test_file_line_string 2022-12-01T10:45:31.7777262Z ''') 2022-12-01T10:45:31.7777267Z 2022-12-01T10:45:31.7777392Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7777450Z ========== 2022-12-01T10:45:31.7777511Z ok (0.003s) 2022-12-01T10:45:31.7777830Z test_file_line_trace (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 4458 2022-12-01T10:45:31.7777891Z due to: 2022-12-01T10:45:31.7777977Z Traceback (most recent call last): 2022-12-01T10:45:31.7778127Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7778369Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7778607Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7778612Z 2022-12-01T10:45:31.7778675Z from user code: 2022-12-01T10:45:31.7778798Z File "test_jit.py", line 4459, in 2022-12-01T10:45:31.7778963Z fc = FileCheck().check('test_jit.py:{}:0'.format(lineno + 1)) 2022-12-01T10:45:31.7778980Z 2022-12-01T10:45:31.7779096Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7779157Z ========== 2022-12-01T10:45:31.7779219Z ok (0.028s) 2022-12-01T10:45:31.7779500Z test_filecheck (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check test_jit.py line 8487 2022-12-01T10:45:31.7779558Z due to: 2022-12-01T10:45:31.7779645Z Traceback (most recent call last): 2022-12-01T10:45:31.7779797Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7780030Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7780271Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7780276Z 2022-12-01T10:45:31.7780340Z from user code: 2022-12-01T10:45:31.7780437Z File "test_jit.py", line 8489, in test_check 2022-12-01T10:45:31.7780543Z FileCheck().check("2").check("3").check("2").run(file) 2022-12-01T10:45:31.7780550Z 2022-12-01T10:45:31.7780676Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7780735Z ========== 2022-12-01T10:45:31.7780958Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check_count test_jit.py line 8499 2022-12-01T10:45:31.7781011Z due to: 2022-12-01T10:45:31.7781096Z Traceback (most recent call last): 2022-12-01T10:45:31.7781245Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7781487Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7781723Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7781728Z 2022-12-01T10:45:31.7781793Z from user code: 2022-12-01T10:45:31.7781896Z File "test_jit.py", line 8501, in test_check_count 2022-12-01T10:45:31.7781989Z FileCheck().check_count("2", 5).run(file) 2022-12-01T10:45:31.7782024Z 2022-12-01T10:45:31.7782141Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7782199Z ========== 2022-12-01T10:45:31.7782421Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check_same test_jit.py line 8516 2022-12-01T10:45:31.7782482Z due to: 2022-12-01T10:45:31.7782568Z Traceback (most recent call last): 2022-12-01T10:45:31.7782721Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7782958Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7783221Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7783226Z 2022-12-01T10:45:31.7783284Z from user code: 2022-12-01T10:45:31.7783384Z File "test_jit.py", line 8518, in test_check_same 2022-12-01T10:45:31.7783475Z FileCheck().check_same("22").run(file) 2022-12-01T10:45:31.7783482Z 2022-12-01T10:45:31.7783609Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7783667Z ========== 2022-12-01T10:45:31.7783889Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check_next test_jit.py line 8530 2022-12-01T10:45:31.7783947Z due to: 2022-12-01T10:45:31.7784025Z Traceback (most recent call last): 2022-12-01T10:45:31.7784172Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7784410Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7784644Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7784652Z 2022-12-01T10:45:31.7784718Z from user code: 2022-12-01T10:45:31.7784819Z File "test_jit.py", line 8532, in test_check_next 2022-12-01T10:45:31.7784936Z FileCheck().check("1").check_next("2").check_next("3").run(file) 2022-12-01T10:45:31.7784941Z 2022-12-01T10:45:31.7785067Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7785116Z ========== 2022-12-01T10:45:31.7785332Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check_dag test_jit.py line 8543 2022-12-01T10:45:31.7785389Z due to: 2022-12-01T10:45:31.7785475Z Traceback (most recent call last): 2022-12-01T10:45:31.7785627Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7785868Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7786106Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7786111Z 2022-12-01T10:45:31.7786181Z from user code: 2022-12-01T10:45:31.7786274Z File "test_jit.py", line 8544, in test_check_dag 2022-12-01T10:45:31.7786387Z fc = FileCheck().check_dag("1").check_dag("2").check_not("2") 2022-12-01T10:45:31.7786392Z 2022-12-01T10:45:31.7786513Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7786575Z ========== 2022-12-01T10:45:31.7786637Z ok (0.045s) 2022-12-01T10:45:31.7786930Z test_filecheck_parse (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check test_jit.py line 8742 2022-12-01T10:45:31.7786991Z due to: 2022-12-01T10:45:31.7787078Z Traceback (most recent call last): 2022-12-01T10:45:31.7787220Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7787460Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7787697Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7787702Z 2022-12-01T10:45:31.7787765Z from user code: 2022-12-01T10:45:31.7787864Z File "test_jit.py", line 8749, in test_check 2022-12-01T10:45:31.7787973Z FileCheck().run(checks_file=file, test_file=file) 2022-12-01T10:45:31.7788008Z 2022-12-01T10:45:31.7788134Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7788191Z ========== 2022-12-01T10:45:31.7788406Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check_count test_jit.py line 8761 2022-12-01T10:45:31.7788466Z due to: 2022-12-01T10:45:31.7788552Z Traceback (most recent call last): 2022-12-01T10:45:31.7788702Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7788939Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7789174Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7789212Z 2022-12-01T10:45:31.7789280Z from user code: 2022-12-01T10:45:31.7789382Z File "test_jit.py", line 8763, in test_check_count 2022-12-01T10:45:31.7789520Z FileCheck().run("# CHECK-COUNT-5: 2", file) 2022-12-01T10:45:31.7789525Z 2022-12-01T10:45:31.7789655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7789710Z ========== 2022-12-01T10:45:31.7789930Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_check_same test_jit.py line 8772 2022-12-01T10:45:31.7789989Z due to: 2022-12-01T10:45:31.7790077Z Traceback (most recent call last): 2022-12-01T10:45:31.7790226Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7790455Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7790688Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7790692Z 2022-12-01T10:45:31.7790758Z from user code: 2022-12-01T10:45:31.7790861Z File "test_jit.py", line 8774, in test_check_same 2022-12-01T10:45:31.7790999Z FileCheck().run("# CHECK-SAME: 22", file) 2022-12-01T10:45:31.7791005Z 2022-12-01T10:45:31.7791128Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7791187Z ========== 2022-12-01T10:45:31.7791248Z ok (0.047s) 2022-12-01T10:45:31.7791356Z test_first_class_calls (__main__.TestScript) ... ok (0.019s) 2022-12-01T10:45:31.7791641Z test_first_class_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo test_jit.py line 3782 2022-12-01T10:45:31.7791701Z due to: 2022-12-01T10:45:31.7791787Z Traceback (most recent call last): 2022-12-01T10:45:31.7791932Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7792010Z raise Unsupported(msg) 2022-12-01T10:45:31.7792126Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7792131Z 2022-12-01T10:45:31.7792199Z from user code: 2022-12-01T10:45:31.7792281Z File "test_jit.py", line 3782, in Foo 2022-12-01T10:45:31.7792378Z class Foo(torch.jit.ScriptModule): 2022-12-01T10:45:31.7792382Z 2022-12-01T10:45:31.7792508Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7792567Z ========== 2022-12-01T10:45:31.7792776Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3783 2022-12-01T10:45:31.7792836Z due to: 2022-12-01T10:45:31.7792923Z Traceback (most recent call last): 2022-12-01T10:45:31.7793076Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7793196Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7793354Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7793360Z 2022-12-01T10:45:31.7793426Z from user code: 2022-12-01T10:45:31.7793520Z File "test_jit.py", line 3784, in __init__ 2022-12-01T10:45:31.7793603Z super(Foo, self).__init__() 2022-12-01T10:45:31.7793608Z 2022-12-01T10:45:31.7793730Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7793787Z ========== 2022-12-01T10:45:31.7793839Z ok (0.012s) 2022-12-01T10:45:31.7793944Z test_floor_div (__main__.TestScript) ... ok (0.043s) 2022-12-01T10:45:31.7794289Z test_floordiv (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12544 2022-12-01T10:45:31.7794350Z due to: 2022-12-01T10:45:31.7794437Z Traceback (most recent call last): 2022-12-01T10:45:31.7794597Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7794667Z assert not kwargs 2022-12-01T10:45:31.7794727Z AssertionError 2022-12-01T10:45:31.7794732Z 2022-12-01T10:45:31.7794797Z from user code: 2022-12-01T10:45:31.7794918Z File "test_jit.py", line 12550, in 2022-12-01T10:45:31.7795097Z funcs_str = funcs_template.format(a_construct=tensor, b_construct=tensor_or_scalar) 2022-12-01T10:45:31.7795103Z 2022-12-01T10:45:31.7795229Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7795288Z ========== 2022-12-01T10:45:31.7795352Z ok (0.209s) 2022-12-01T10:45:31.7795457Z test_for_else (__main__.TestScript) ... ok (0.021s) 2022-12-01T10:45:31.7795554Z test_for_in_dict (__main__.TestScript) ... ok (0.041s) 2022-12-01T10:45:31.7795666Z test_for_in_enumerate (__main__.TestScript) ... ok (0.116s) 2022-12-01T10:45:31.7795770Z test_for_in_range (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.7795882Z test_for_in_range_ast (__main__.TestScript) ... ok (0.047s) 2022-12-01T10:45:31.7795995Z test_for_in_range_dynamic (__main__.TestScript) ... ok (0.055s) 2022-12-01T10:45:31.7796111Z test_for_in_range_if_ast (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.7796229Z test_for_in_range_start_end (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.7796348Z test_for_in_range_start_end_step (__main__.TestScript) ... ok (0.047s) 2022-12-01T10:45:31.7796465Z test_for_in_range_zero_step (__main__.TestScript) ... ok (0.028s) 2022-12-01T10:45:31.7796572Z test_for_in_string (__main__.TestScript) ... ok (0.046s) 2022-12-01T10:45:31.7796684Z test_for_in_tensors (__main__.TestScript) ... ok (2.402s) 2022-12-01T10:45:31.7796807Z test_for_in_tensors_fail_scalar (__main__.TestScript) ... ok (0.010s) 2022-12-01T10:45:31.7796928Z test_for_in_tensors_nested (__main__.TestScript) ... ok (0.094s) 2022-12-01T10:45:31.7797042Z test_for_in_tensors_rank0 (__main__.TestScript) ... ok (0.014s) 2022-12-01T10:45:31.7797149Z test_for_in_zip (__main__.TestScript) ... ok (0.084s) 2022-12-01T10:45:31.7797254Z test_for_in_zip_enumerate (__main__.TestScript) ... ok (0.048s) 2022-12-01T10:45:31.7797366Z test_for_tuple_assign (__main__.TestScript) ... ok (0.040s) 2022-12-01T10:45:31.7797479Z test_for_tuple_unpack (__main__.TestScript) ... ok (0.065s) 2022-12-01T10:45:31.7797759Z test_format (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_format test_jit.py line 6776 2022-12-01T10:45:31.7797818Z due to: 2022-12-01T10:45:31.7797906Z Traceback (most recent call last): 2022-12-01T10:45:31.7798065Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:45:31.7798167Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.7798308Z RuntimeError: Only Tensors of floating point and complex dtype can require gradients 2022-12-01T10:45:31.7798313Z 2022-12-01T10:45:31.7798444Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7798450Z 2022-12-01T10:45:31.7798536Z Traceback (most recent call last): 2022-12-01T10:45:31.7798687Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7798778Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7798883Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7798887Z 2022-12-01T10:45:31.7798954Z from user code: 2022-12-01T10:45:31.7799051Z File "test_jit.py", line 6784, in test_format 2022-12-01T10:45:31.7799139Z x = torch.arange(4., requires_grad=True) 2022-12-01T10:45:31.7799144Z 2022-12-01T10:45:31.7799312Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7799371Z ========== 2022-12-01T10:45:31.7799432Z ok (0.052s) 2022-12-01T10:45:31.7799536Z test_func_call (__main__.TestScript) ... ok (0.053s) 2022-12-01T10:45:31.7799916Z test_function_compilation_caching (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 4816 2022-12-01T10:45:31.7799976Z due to: 2022-12-01T10:45:31.7800053Z Traceback (most recent call last): 2022-12-01T10:45:31.7800211Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7800354Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7800652Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7800657Z 2022-12-01T10:45:31.7800723Z from user code: 2022-12-01T10:45:31.7800868Z File "test_jit.py", line 4819, in 2022-12-01T10:45:31.7801004Z self.assertIs(fun_compiled.graph, torch.jit.script(fun).graph) 2022-12-01T10:45:31.7801009Z 2022-12-01T10:45:31.7801134Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7801191Z ========== 2022-12-01T10:45:31.7801245Z ok (0.023s) 2022-12-01T10:45:31.7801547Z test_function_overload_misuse (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyClass test_jit.py line 14749 2022-12-01T10:45:31.7801608Z due to: 2022-12-01T10:45:31.7801694Z Traceback (most recent call last): 2022-12-01T10:45:31.7801841Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7801921Z raise Unsupported(msg) 2022-12-01T10:45:31.7802039Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7802044Z 2022-12-01T10:45:31.7802101Z from user code: 2022-12-01T10:45:31.7802194Z File "test_jit.py", line 14749, in MyClass 2022-12-01T10:45:31.7802260Z class MyClass: 2022-12-01T10:45:31.7802265Z 2022-12-01T10:45:31.7802388Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7802447Z ========== 2022-12-01T10:45:31.7802673Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT OverloadMisuse test_jit.py line 14767 2022-12-01T10:45:31.7802731Z due to: 2022-12-01T10:45:31.7802809Z Traceback (most recent call last): 2022-12-01T10:45:31.7802955Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7803033Z raise Unsupported(msg) 2022-12-01T10:45:31.7803153Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7803158Z 2022-12-01T10:45:31.7803225Z from user code: 2022-12-01T10:45:31.7803329Z File "test_jit.py", line 14767, in OverloadMisuse 2022-12-01T10:45:31.7803428Z class OverloadMisuse(torch.nn.Module): 2022-12-01T10:45:31.7803434Z 2022-12-01T10:45:31.7803557Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7803609Z ========== 2022-12-01T10:45:31.7803671Z ok (0.033s) 2022-12-01T10:45:31.7803807Z test_function_overloading_isinstance (__main__.TestScript) ... ok (0.059s) 2022-12-01T10:45:31.7804148Z test_function_overloads (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 14576 2022-12-01T10:45:31.7804207Z due to: 2022-12-01T10:45:31.7804294Z Traceback (most recent call last): 2022-12-01T10:45:31.7804448Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7804561Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7804850Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7804855Z 2022-12-01T10:45:31.7804923Z from user code: 2022-12-01T10:45:31.7805054Z File "test_jit.py", line 14578, in 2022-12-01T10:45:31.7805178Z self.assertIs(a.graph, b.graph) 2022-12-01T10:45:31.7805183Z 2022-12-01T10:45:31.7805306Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7805363Z ========== 2022-12-01T10:45:31.7805422Z ok (0.200s) 2022-12-01T10:45:31.7805616Z test_fuser_double_float_codegen (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:45:31.7805961Z test_fuser_double_literal_precision (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fuser_double_literal_precision test_jit.py line 5849 2022-12-01T10:45:31.7806020Z due to: 2022-12-01T10:45:31.7806136Z Traceback (most recent call last): 2022-12-01T10:45:31.7806290Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7806535Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7806836Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7806842Z 2022-12-01T10:45:31.7806906Z from user code: 2022-12-01T10:45:31.7807142Z File "test_jit.py", line 5862, in test_fuser_double_literal_precision 2022-12-01T10:45:31.7807224Z graph = parse_ir(code) 2022-12-01T10:45:31.7807228Z 2022-12-01T10:45:31.7807354Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7807413Z ========== 2022-12-01T10:45:31.7807475Z ok (0.206s) 2022-12-01T10:45:31.7807804Z test_fuser_multiple_blocks (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fuser_multiple_blocks test_jit.py line 5866 2022-12-01T10:45:31.7807866Z due to: 2022-12-01T10:45:31.7807952Z Traceback (most recent call last): 2022-12-01T10:45:31.7808101Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7808396Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7808682Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7808687Z 2022-12-01T10:45:31.7808752Z from user code: 2022-12-01T10:45:31.7808873Z File "test_jit.py", line 5876, in test_fuser_multiple_blocks 2022-12-01T10:45:31.7808953Z ''') 2022-12-01T10:45:31.7808958Z 2022-12-01T10:45:31.7809083Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7809144Z ========== 2022-12-01T10:45:31.7809203Z ok (0.009s) 2022-12-01T10:45:31.7809315Z test_gather_dynamic_index (__main__.TestScript) ... ok (0.351s) 2022-12-01T10:45:31.7809434Z test_generic_list_errors (__main__.TestScript) ... ok (0.010s) 2022-12-01T10:45:31.7809712Z test_get_set_state (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Root test_jit.py line 13751 2022-12-01T10:45:31.7809772Z due to: 2022-12-01T10:45:31.7809861Z Traceback (most recent call last): 2022-12-01T10:45:31.7810008Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7810089Z raise Unsupported(msg) 2022-12-01T10:45:31.7810197Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7810203Z 2022-12-01T10:45:31.7810269Z from user code: 2022-12-01T10:45:31.7810358Z File "test_jit.py", line 13751, in Root 2022-12-01T10:45:31.7810458Z class Root(torch.jit.ScriptModule): 2022-12-01T10:45:31.7810464Z 2022-12-01T10:45:31.7810588Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7810648Z ========== 2022-12-01T10:45:31.7810854Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 13770 2022-12-01T10:45:31.7810906Z due to: 2022-12-01T10:45:31.7810991Z Traceback (most recent call last): 2022-12-01T10:45:31.7811137Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7811215Z raise Unsupported(msg) 2022-12-01T10:45:31.7811389Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7811394Z 2022-12-01T10:45:31.7811459Z from user code: 2022-12-01T10:45:31.7811546Z File "test_jit.py", line 13770, in M 2022-12-01T10:45:31.7811640Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7811645Z 2022-12-01T10:45:31.7811762Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7811820Z ========== 2022-12-01T10:45:31.7812030Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 13754 2022-12-01T10:45:31.7812092Z due to: 2022-12-01T10:45:31.7812178Z Traceback (most recent call last): 2022-12-01T10:45:31.7812378Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7812501Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7812653Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7812669Z 2022-12-01T10:45:31.7812725Z from user code: 2022-12-01T10:45:31.7812818Z File "test_jit.py", line 13755, in __init__ 2022-12-01T10:45:31.7812899Z super(Root, self).__init__() 2022-12-01T10:45:31.7812905Z 2022-12-01T10:45:31.7813027Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7813083Z ========== 2022-12-01T10:45:31.7813290Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 13773 2022-12-01T10:45:31.7813348Z due to: 2022-12-01T10:45:31.7813424Z Traceback (most recent call last): 2022-12-01T10:45:31.7813589Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7813714Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7813872Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7813877Z 2022-12-01T10:45:31.7813940Z from user code: 2022-12-01T10:45:31.7814032Z File "test_jit.py", line 13774, in __init__ 2022-12-01T10:45:31.7814110Z super(M, self).__init__() 2022-12-01T10:45:31.7814114Z 2022-12-01T10:45:31.7814240Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7814291Z ========== 2022-12-01T10:45:31.7814507Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT NoArgState test_jit.py line 13809 2022-12-01T10:45:31.7814566Z due to: 2022-12-01T10:45:31.7814651Z Traceback (most recent call last): 2022-12-01T10:45:31.7814798Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7814876Z raise Unsupported(msg) 2022-12-01T10:45:31.7814993Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7814998Z 2022-12-01T10:45:31.7815056Z from user code: 2022-12-01T10:45:31.7815155Z File "test_jit.py", line 13809, in NoArgState 2022-12-01T10:45:31.7815246Z class NoArgState(torch.nn.Module): 2022-12-01T10:45:31.7815251Z 2022-12-01T10:45:31.7815376Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7815435Z ========== 2022-12-01T10:45:31.7815496Z ok (0.046s) 2022-12-01T10:45:31.7815790Z test_get_set_state_with_tensors (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15866 2022-12-01T10:45:31.7815850Z due to: 2022-12-01T10:45:31.7815928Z Traceback (most recent call last): 2022-12-01T10:45:31.7816068Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7816146Z raise Unsupported(msg) 2022-12-01T10:45:31.7816263Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7816268Z 2022-12-01T10:45:31.7816331Z from user code: 2022-12-01T10:45:31.7816417Z File "test_jit.py", line 15866, in M 2022-12-01T10:45:31.7816497Z class M(torch.nn.Module): 2022-12-01T10:45:31.7816503Z 2022-12-01T10:45:31.7816619Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7816675Z ========== 2022-12-01T10:45:31.7816736Z ok (0.016s) 2022-12-01T10:45:31.7816853Z test_grad_from_script (__main__.TestScript) ... ok (0.048s) 2022-12-01T10:45:31.7816986Z test_hash (__main__.TestScript) ... ok (0.119s) 2022-12-01T10:45:31.7817094Z test_hex_literals (__main__.TestScript) ... ok (0.079s) 2022-12-01T10:45:31.7817189Z test_id (__main__.TestScript) ... ok (0.023s) 2022-12-01T10:45:31.7817277Z test_if (__main__.TestScript) ... ok (0.085s) 2022-12-01T10:45:31.7817380Z test_if_define (__main__.TestScript) ... ok (0.184s) 2022-12-01T10:45:31.7817496Z test_if_different_type (__main__.TestScript) ... ok (0.015s) 2022-12-01T10:45:31.7817608Z test_if_for_in_range (__main__.TestScript) ... ok (0.079s) 2022-12-01T10:45:31.7817980Z test_if_is_none_dispatch (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 6073 2022-12-01T10:45:31.7818042Z due to: 2022-12-01T10:45:31.7818127Z Traceback (most recent call last): 2022-12-01T10:45:31.7818285Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7818392Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7818691Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7818696Z 2022-12-01T10:45:31.7818759Z from user code: 2022-12-01T10:45:31.7818888Z File "test_jit.py", line 6084, in 2022-12-01T10:45:31.7819176Z self.assertTrue(str(test_lhs_none_rhs_none.graph).count(': int = prim::Constant') == 1) 2022-12-01T10:45:31.7819182Z 2022-12-01T10:45:31.7819308Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7819368Z ========== 2022-12-01T10:45:31.7819431Z ok (0.041s) 2022-12-01T10:45:31.7819736Z test_if_list_cat (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 10119 2022-12-01T10:45:31.7819796Z due to: 2022-12-01T10:45:31.7819882Z Traceback (most recent call last): 2022-12-01T10:45:31.7820039Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7820154Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7820447Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7820452Z 2022-12-01T10:45:31.7820518Z from user code: 2022-12-01T10:45:31.7820638Z File "test_jit.py", line 10128, in 2022-12-01T10:45:31.7820737Z _propagate_shapes(test_list.graph, (b,), False) 2022-12-01T10:45:31.7820749Z 2022-12-01T10:45:31.7820868Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7820925Z ========== 2022-12-01T10:45:31.7820988Z ok (0.021s) 2022-12-01T10:45:31.7821143Z test_if_nest_while (__main__.TestScript) ... skip: TorchDynamo fails with unknown reason (0.001s) 2022-12-01T10:45:31.7821250Z test_if_noelse (__main__.TestScript) ... ok (0.082s) 2022-12-01T10:45:31.7821367Z test_if_not_defined_error (__main__.TestScript) ... ok (0.012s) 2022-12-01T10:45:31.7821687Z test_if_supertype (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 10131 2022-12-01T10:45:31.7821738Z due to: 2022-12-01T10:45:31.7821823Z Traceback (most recent call last): 2022-12-01T10:45:31.7821981Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7822093Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7822392Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7822397Z 2022-12-01T10:45:31.7822463Z from user code: 2022-12-01T10:45:31.7822588Z File "test_jit.py", line 10145, in 2022-12-01T10:45:31.7822721Z graph = _propagate_shapes(tensor_unifying.graph, (a, b, c), False) 2022-12-01T10:45:31.7822758Z 2022-12-01T10:45:31.7822876Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7822933Z ========== 2022-12-01T10:45:31.7822993Z ok (0.026s) 2022-12-01T10:45:31.7823278Z test_ignore_decorator (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15261 2022-12-01T10:45:31.7823336Z due to: 2022-12-01T10:45:31.7823422Z Traceback (most recent call last): 2022-12-01T10:45:31.7823568Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7823638Z raise Unsupported(msg) 2022-12-01T10:45:31.7823786Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7823791Z 2022-12-01T10:45:31.7823857Z from user code: 2022-12-01T10:45:31.7823943Z File "test_jit.py", line 15261, in M 2022-12-01T10:45:31.7824039Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7824044Z 2022-12-01T10:45:31.7824171Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7824229Z ========== 2022-12-01T10:45:31.7824440Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15262 2022-12-01T10:45:31.7824491Z due to: 2022-12-01T10:45:31.7824578Z Traceback (most recent call last): 2022-12-01T10:45:31.7824740Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7824857Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7825013Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7825018Z 2022-12-01T10:45:31.7825081Z from user code: 2022-12-01T10:45:31.7825174Z File "test_jit.py", line 15263, in __init__ 2022-12-01T10:45:31.7825250Z super(M, self).__init__() 2022-12-01T10:45:31.7825255Z 2022-12-01T10:45:31.7825370Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7825428Z ========== 2022-12-01T10:45:31.7825491Z ok (0.100s) 2022-12-01T10:45:31.7825781Z test_ignored_as_value (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Model test_jit.py line 15289 2022-12-01T10:45:31.7825839Z due to: 2022-12-01T10:45:31.7825921Z Traceback (most recent call last): 2022-12-01T10:45:31.7826066Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7826136Z raise Unsupported(msg) 2022-12-01T10:45:31.7826254Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7826259Z 2022-12-01T10:45:31.7826323Z from user code: 2022-12-01T10:45:31.7826415Z File "test_jit.py", line 15289, in Model 2022-12-01T10:45:31.7826492Z class Model(nn.Module): 2022-12-01T10:45:31.7826499Z 2022-12-01T10:45:31.7826624Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7826682Z ========== 2022-12-01T10:45:31.7826734Z ok (0.018s) 2022-12-01T10:45:31.7827029Z test_ignored_method_binding (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Bar test_jit.py line 3347 2022-12-01T10:45:31.7827091Z due to: 2022-12-01T10:45:31.7827177Z Traceback (most recent call last): 2022-12-01T10:45:31.7827324Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7827401Z raise Unsupported(msg) 2022-12-01T10:45:31.7827519Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7827524Z 2022-12-01T10:45:31.7827585Z from user code: 2022-12-01T10:45:31.7827664Z File "test_jit.py", line 3347, in Bar 2022-12-01T10:45:31.7827746Z class Bar(torch.nn.Module): 2022-12-01T10:45:31.7827751Z 2022-12-01T10:45:31.7827873Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7827934Z ========== 2022-12-01T10:45:31.7827995Z ok (0.015s) 2022-12-01T10:45:31.7828271Z test_ignored_props (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A test_jit.py line 13377 2022-12-01T10:45:31.7828331Z due to: 2022-12-01T10:45:31.7828446Z Traceback (most recent call last): 2022-12-01T10:45:31.7828588Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7828666Z raise Unsupported(msg) 2022-12-01T10:45:31.7828782Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7828787Z 2022-12-01T10:45:31.7828852Z from user code: 2022-12-01T10:45:31.7828938Z File "test_jit.py", line 13377, in A 2022-12-01T10:45:31.7829010Z class A(nn.Module): 2022-12-01T10:45:31.7829015Z 2022-12-01T10:45:31.7829137Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7829187Z ========== 2022-12-01T10:45:31.7829425Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT call test_jit.py line 13391 2022-12-01T10:45:31.7829487Z due to: 2022-12-01T10:45:31.7829572Z Traceback (most recent call last): 2022-12-01T10:45:31.7829731Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7829845Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7829980Z AssertionError: expected FunctionType found str ignored_return_val 2022-12-01T10:45:31.7829986Z 2022-12-01T10:45:31.7830042Z from user code: 2022-12-01T10:45:31.7830131Z File "test_jit.py", line 13393, in call 2022-12-01T10:45:31.7830217Z return self.ignored_return_val 2022-12-01T10:45:31.7830222Z 2022-12-01T10:45:31.7830345Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7830401Z ========== 2022-12-01T10:45:31.7830462Z ok (0.012s) 2022-12-01T10:45:31.7830785Z test_import_constants_not_specialized (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 10187 2022-12-01T10:45:31.7830847Z due to: 2022-12-01T10:45:31.7830923Z Traceback (most recent call last): 2022-12-01T10:45:31.7831067Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7831145Z raise Unsupported(msg) 2022-12-01T10:45:31.7831263Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7831270Z 2022-12-01T10:45:31.7831333Z from user code: 2022-12-01T10:45:31.7831427Z File "test_jit.py", line 10187, in ScriptMod 2022-12-01T10:45:31.7831537Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7831542Z 2022-12-01T10:45:31.7831658Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7831715Z ========== 2022-12-01T10:45:31.7831925Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 10188 2022-12-01T10:45:31.7831984Z due to: 2022-12-01T10:45:31.7832069Z Traceback (most recent call last): 2022-12-01T10:45:31.7832236Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7832356Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7832512Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7832517Z 2022-12-01T10:45:31.7832572Z from user code: 2022-12-01T10:45:31.7832669Z File "test_jit.py", line 10189, in __init__ 2022-12-01T10:45:31.7832755Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7832760Z 2022-12-01T10:45:31.7832882Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7832941Z ========== 2022-12-01T10:45:31.7833001Z ok (0.018s) 2022-12-01T10:45:31.7833118Z test_in_for_and_comp_expr (__main__.TestScript) ... ok (0.042s) 2022-12-01T10:45:31.7833237Z test_in_operator_with_two_strings (__main__.TestScript) ... ok (0.034s) 2022-12-01T10:45:31.7833535Z test_index (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5010 2022-12-01T10:45:31.7833597Z due to: 2022-12-01T10:45:31.7833684Z Traceback (most recent call last): 2022-12-01T10:45:31.7833835Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7834080Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7834388Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7834393Z 2022-12-01T10:45:31.7834457Z from user code: 2022-12-01T10:45:31.7834564Z File "test_jit.py", line 5011, in 2022-12-01T10:45:31.7834669Z cu = torch.jit.CompilationUnit(code_str) 2022-12-01T10:45:31.7834674Z 2022-12-01T10:45:31.7834799Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7834856Z ========== 2022-12-01T10:45:31.7834918Z ok (13.868s) 2022-12-01T10:45:31.7835305Z test_index_select_shape_prop (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 10790 2022-12-01T10:45:31.7835366Z due to: 2022-12-01T10:45:31.7835450Z Traceback (most recent call last): 2022-12-01T10:45:31.7835598Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7835711Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7836004Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7836009Z 2022-12-01T10:45:31.7836073Z from user code: 2022-12-01T10:45:31.7836206Z File "test_jit.py", line 10796, in 2022-12-01T10:45:31.7836341Z torch._C._jit_pass_complete_shape_analysis(foo.graph, (a, b), False) 2022-12-01T10:45:31.7836346Z 2022-12-01T10:45:31.7836473Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7836533Z ========== 2022-12-01T10:45:31.7836599Z ok (0.024s) 2022-12-01T10:45:31.7836716Z test_index_with_tuple (__main__.TestScript) ... ok (0.017s) 2022-12-01T10:45:31.7836819Z test_indexing_error (__main__.TestScript) ... ok (0.009s) 2022-12-01T10:45:31.7837078Z test_infer_size (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.7837140Z due to: 2022-12-01T10:45:31.7837227Z Traceback (most recent call last): 2022-12-01T10:45:31.7837382Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:45:31.7837484Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.7837593Z RuntimeError: expected a torch.Size as argument 1 2022-12-01T10:45:31.7837598Z 2022-12-01T10:45:31.7837729Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7837734Z 2022-12-01T10:45:31.7837821Z Traceback (most recent call last): 2022-12-01T10:45:31.7837967Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7838059Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7838160Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7838165Z 2022-12-01T10:45:31.7838230Z from user code: 2022-12-01T10:45:31.7838308Z File "", line 3, in fn 2022-12-01T10:45:31.7838315Z 2022-12-01T10:45:31.7838439Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7838497Z ========== 2022-12-01T10:45:31.7838692Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn test_jit.py line 13519 2022-12-01T10:45:31.7838752Z due to: 2022-12-01T10:45:31.7838839Z Traceback (most recent call last): 2022-12-01T10:45:31.7838990Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:45:31.7839091Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.7839201Z RuntimeError: expected a torch.Size as argument 1 2022-12-01T10:45:31.7839206Z 2022-12-01T10:45:31.7839339Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7839344Z 2022-12-01T10:45:31.7839431Z Traceback (most recent call last): 2022-12-01T10:45:31.7839571Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7839715Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7839815Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7839820Z 2022-12-01T10:45:31.7839885Z from user code: 2022-12-01T10:45:31.7839974Z File "test_jit.py", line 13521, in fn 2022-12-01T10:45:31.7840065Z return _infer_size(x.size(), y.size()) 2022-12-01T10:45:31.7840070Z 2022-12-01T10:45:31.7840198Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7840259Z ========== 2022-12-01T10:45:31.7840310Z ok (0.028s) 2022-12-01T10:45:31.7840416Z test_inferred_error_msg (__main__.TestScript) 2022-12-01T10:45:31.7840562Z Test that when we get a type mismatch on a function where we inferred ... ok (0.028s) 2022-12-01T10:45:31.7840868Z test_inherit_method (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A test_jit.py line 3723 2022-12-01T10:45:31.7840931Z due to: 2022-12-01T10:45:31.7841020Z Traceback (most recent call last): 2022-12-01T10:45:31.7841169Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7841241Z raise Unsupported(msg) 2022-12-01T10:45:31.7841363Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7841368Z 2022-12-01T10:45:31.7841433Z from user code: 2022-12-01T10:45:31.7841519Z File "test_jit.py", line 3723, in A 2022-12-01T10:45:31.7841612Z class A(torch.jit.ScriptModule): 2022-12-01T10:45:31.7841618Z 2022-12-01T10:45:31.7841745Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7841808Z ========== 2022-12-01T10:45:31.7842007Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT B test_jit.py line 3731 2022-12-01T10:45:31.7842057Z due to: 2022-12-01T10:45:31.7842148Z Traceback (most recent call last): 2022-12-01T10:45:31.7842295Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7842372Z raise Unsupported(msg) 2022-12-01T10:45:31.7842489Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7842496Z 2022-12-01T10:45:31.7842560Z from user code: 2022-12-01T10:45:31.7842646Z File "test_jit.py", line 3731, in B 2022-12-01T10:45:31.7842702Z class B(A): 2022-12-01T10:45:31.7842707Z 2022-12-01T10:45:31.7842832Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7842891Z ========== 2022-12-01T10:45:31.7843097Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3724 2022-12-01T10:45:31.7843156Z due to: 2022-12-01T10:45:31.7843241Z Traceback (most recent call last): 2022-12-01T10:45:31.7843404Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7843518Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7843675Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7843680Z 2022-12-01T10:45:31.7843748Z from user code: 2022-12-01T10:45:31.7843840Z File "test_jit.py", line 3725, in __init__ 2022-12-01T10:45:31.7843918Z super(A, self).__init__() 2022-12-01T10:45:31.7843923Z 2022-12-01T10:45:31.7844047Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7844104Z ========== 2022-12-01T10:45:31.7844311Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3732 2022-12-01T10:45:31.7844362Z due to: 2022-12-01T10:45:31.7844447Z Traceback (most recent call last): 2022-12-01T10:45:31.7844611Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7844731Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7844889Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7844894Z 2022-12-01T10:45:31.7844960Z from user code: 2022-12-01T10:45:31.7845053Z File "test_jit.py", line 3733, in __init__ 2022-12-01T10:45:31.7845127Z super(B, self).__init__() 2022-12-01T10:45:31.7845132Z 2022-12-01T10:45:31.7845246Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7845334Z ========== 2022-12-01T10:45:31.7845533Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT C test_jit.py line 3746 2022-12-01T10:45:31.7845596Z due to: 2022-12-01T10:45:31.7845683Z Traceback (most recent call last): 2022-12-01T10:45:31.7845829Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7845906Z raise Unsupported(msg) 2022-12-01T10:45:31.7846015Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7846020Z 2022-12-01T10:45:31.7846084Z from user code: 2022-12-01T10:45:31.7846167Z File "test_jit.py", line 3746, in C 2022-12-01T10:45:31.7846292Z class C(torch.jit.ScriptModule): 2022-12-01T10:45:31.7846297Z 2022-12-01T10:45:31.7846424Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7846484Z ========== 2022-12-01T10:45:31.7846692Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3755 2022-12-01T10:45:31.7846743Z due to: 2022-12-01T10:45:31.7846829Z Traceback (most recent call last): 2022-12-01T10:45:31.7847110Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7847230Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7847389Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7847394Z 2022-12-01T10:45:31.7847462Z from user code: 2022-12-01T10:45:31.7847555Z File "test_jit.py", line 3756, in __init__ 2022-12-01T10:45:31.7847632Z super(D, self).__init__() 2022-12-01T10:45:31.7847636Z 2022-12-01T10:45:31.7847750Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7847812Z ========== 2022-12-01T10:45:31.7848023Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3747 2022-12-01T10:45:31.7848084Z due to: 2022-12-01T10:45:31.7848172Z Traceback (most recent call last): 2022-12-01T10:45:31.7848404Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7848532Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7848691Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7848696Z 2022-12-01T10:45:31.7848751Z from user code: 2022-12-01T10:45:31.7848845Z File "test_jit.py", line 3748, in __init__ 2022-12-01T10:45:31.7848922Z super(C, self).__init__() 2022-12-01T10:45:31.7848927Z 2022-12-01T10:45:31.7849049Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7849108Z ========== 2022-12-01T10:45:31.7849172Z ok (0.029s) 2022-12-01T10:45:31.7849383Z test_inline_and_run_annotated_script_fn (__main__.TestScript) ... skip: https://github.com/pytorch/pytorch/issues/9595 (0.001s) 2022-12-01T10:45:31.7849471Z test_inlined_graph (__main__.TestScript) 2022-12-01T10:45:31.7849621Z Check that the `inlined_graph` property correctly returns an inlined ... ok (0.036s) 2022-12-01T10:45:31.7849962Z test_inlining_cleanup (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 9282 2022-12-01T10:45:31.7850024Z due to: 2022-12-01T10:45:31.7850113Z Traceback (most recent call last): 2022-12-01T10:45:31.7850271Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7850385Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7850683Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7850689Z 2022-12-01T10:45:31.7850758Z from user code: 2022-12-01T10:45:31.7850879Z File "test_jit.py", line 9287, in 2022-12-01T10:45:31.7850970Z self.run_pass("inline", fee.graph) 2022-12-01T10:45:31.7850975Z 2022-12-01T10:45:31.7851100Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7851219Z ========== 2022-12-01T10:45:31.7851282Z ok (0.023s) 2022-12-01T10:45:31.7851391Z test_inplace_add (__main__.TestScript) ... ok (0.033s) 2022-12-01T10:45:31.7851518Z test_inplace_copy_script (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.7851632Z test_input_keyword_in_schema (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.7851737Z test_int_cast (__main__.TestScript) ... ok (0.097s) 2022-12-01T10:45:31.7852079Z test_integral_shape_inference (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_integral_shape_inference test_jit.py line 5758 2022-12-01T10:45:31.7852140Z due to: 2022-12-01T10:45:31.7852264Z Traceback (most recent call last): 2022-12-01T10:45:31.7852419Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7852664Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7852948Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7852954Z 2022-12-01T10:45:31.7853011Z from user code: 2022-12-01T10:45:31.7853133Z File "test_jit.py", line 5762, in test_integral_shape_inference 2022-12-01T10:45:31.7853213Z ''') 2022-12-01T10:45:31.7853218Z 2022-12-01T10:45:31.7853344Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7853404Z ========== 2022-12-01T10:45:31.7853462Z ok (0.004s) 2022-12-01T10:45:31.7853781Z test_interpret_graph (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_interpret_graph test_jit.py line 16104 2022-12-01T10:45:31.7853842Z due to: 2022-12-01T10:45:31.7853922Z Traceback (most recent call last): 2022-12-01T10:45:31.7854075Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7854320Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7854627Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.7854632Z 2022-12-01T10:45:31.7854698Z from user code: 2022-12-01T10:45:31.7854810Z File "test_jit.py", line 16113, in test_interpret_graph 2022-12-01T10:45:31.7854892Z graph = parse_ir(graph_str) 2022-12-01T10:45:31.7854898Z 2022-12-01T10:45:31.7855023Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7855073Z ========== 2022-12-01T10:45:31.7855135Z ok (0.003s) 2022-12-01T10:45:31.7855254Z test_interpreter_fuzz (__main__.TestScript) ... ok (1.770s) 2022-12-01T10:45:31.7855367Z test_intlist_args (__main__.TestScript) ... ok (0.079s) 2022-12-01T10:45:31.7855490Z test_invalid_call_arguments (__main__.TestScript) ... ok (0.010s) 2022-12-01T10:45:31.7855611Z test_invalid_lhs_assignment (__main__.TestScript) ... ok (0.009s) 2022-12-01T10:45:31.7855737Z test_invalid_prefix_annotation (__main__.TestScript) ... ok (0.015s) 2022-12-01T10:45:31.7856016Z test_irparser (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_irparser test_jit.py line 8290 2022-12-01T10:45:31.7856080Z due to: 2022-12-01T10:45:31.7856168Z Traceback (most recent call last): 2022-12-01T10:45:31.7856319Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7856564Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7856805Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7856810Z 2022-12-01T10:45:31.7856882Z from user code: 2022-12-01T10:45:31.7856982Z File "test_jit.py", line 8296, in test_irparser 2022-12-01T10:45:31.7857080Z FileCheck().run(graph_str, parse_ir(graph_str)) 2022-12-01T10:45:31.7857094Z 2022-12-01T10:45:31.7857210Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7857334Z ========== 2022-12-01T10:45:31.7857396Z ok (0.003s) 2022-12-01T10:45:31.7857717Z test_is_after_use (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 8341 2022-12-01T10:45:31.7857777Z due to: 2022-12-01T10:45:31.7857863Z Traceback (most recent call last): 2022-12-01T10:45:31.7858020Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7858125Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7858455Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7858461Z 2022-12-01T10:45:31.7858531Z from user code: 2022-12-01T10:45:31.7858656Z File "test_jit.py", line 8346, in 2022-12-01T10:45:31.7858761Z uses_sorted = sorted_input_use(foo.graph) 2022-12-01T10:45:31.7858768Z 2022-12-01T10:45:31.7858895Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7858952Z ========== 2022-12-01T10:45:31.7859017Z ok (0.036s) 2022-12-01T10:45:31.7859276Z test_is_isnot (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test test_jit.py line 7654 2022-12-01T10:45:31.7859339Z due to: 2022-12-01T10:45:31.7859429Z Traceback (most recent call last): 2022-12-01T10:45:31.7859593Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7859665Z assert not kwargs 2022-12-01T10:45:31.7859739Z AssertionError 2022-12-01T10:45:31.7859744Z 2022-12-01T10:45:31.7859811Z from user code: 2022-12-01T10:45:31.7859892Z File "test_jit.py", line 7655, in test 2022-12-01T10:45:31.7860010Z code = template.format(lhs=args[0], rhs=args[1], op=op) 2022-12-01T10:45:31.7860016Z 2022-12-01T10:45:31.7860141Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7860201Z ========== 2022-12-01T10:45:31.7860263Z ok (0.085s) 2022-12-01T10:45:31.7860371Z test_is_optional (__main__.TestScript) ... ok (0.007s) 2022-12-01T10:45:31.7860481Z test_is_scripting (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.7860598Z test_is_scripting_metacompile (__main__.TestScript) ... ok (0.028s) 2022-12-01T10:45:31.7860912Z test_isinstance (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 7734 2022-12-01T10:45:31.7860973Z due to: 2022-12-01T10:45:31.7861059Z Traceback (most recent call last): 2022-12-01T10:45:31.7861217Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7861289Z assert not kwargs 2022-12-01T10:45:31.7861359Z AssertionError 2022-12-01T10:45:31.7861363Z 2022-12-01T10:45:31.7861428Z from user code: 2022-12-01T10:45:31.7861542Z File "test_jit.py", line 7756, in 2022-12-01T10:45:31.7861623Z test(inp, typ, type_hint) 2022-12-01T10:45:31.7861628Z 2022-12-01T10:45:31.7861754Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7861811Z ========== 2022-12-01T10:45:31.7862017Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test test_jit.py line 7736 2022-12-01T10:45:31.7862078Z due to: 2022-12-01T10:45:31.7862166Z Traceback (most recent call last): 2022-12-01T10:45:31.7862315Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7862384Z assert not kwargs 2022-12-01T10:45:31.7862452Z AssertionError 2022-12-01T10:45:31.7862457Z 2022-12-01T10:45:31.7862526Z from user code: 2022-12-01T10:45:31.7862613Z File "test_jit.py", line 7737, in test 2022-12-01T10:45:31.7862729Z code = template.format(typ=typ, type_hint=type_hint) 2022-12-01T10:45:31.7862734Z 2022-12-01T10:45:31.7862857Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7862915Z ========== 2022-12-01T10:45:31.7862999Z ok (0.036s) 2022-12-01T10:45:31.7863118Z test_isinstance_dynamic (__main__.TestScript) ... ok (0.046s) 2022-12-01T10:45:31.7863241Z test_isinstance_metacompile (__main__.TestScript) ... ok (0.055s) 2022-12-01T10:45:31.7863361Z test_isinstance_refinement (__main__.TestScript) ... ok (0.268s) 2022-12-01T10:45:31.7863465Z test_jitter_bug (__main__.TestScript) ... ok (0.041s) 2022-12-01T10:45:31.7863566Z test_keyword (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.7863685Z test_kwarg_expansion_error (__main__.TestScript) ... ok (0.038s) 2022-12-01T10:45:31.7863789Z test_kwargs_error_msg (__main__.TestScript) ... ok (0.025s) 2022-12-01T10:45:31.7863925Z test_lazy_script (__main__.TestScript) ... ok (0.047s) 2022-12-01T10:45:31.7864063Z test_lhs_advanced_indexing_assignment (__main__.TestScript) ... ok (0.049s) 2022-12-01T10:45:31.7864214Z test_lhs_advanced_indexing_augmented_assignment (__main__.TestScript) ... ok (0.062s) 2022-12-01T10:45:31.7864325Z test_lhs_indexing (__main__.TestScript) ... ok (0.034s) 2022-12-01T10:45:31.7864448Z test_lhs_indexing_increment (__main__.TestScript) ... ok (0.035s) 2022-12-01T10:45:31.7864574Z test_lhs_indexing_increment_list (__main__.TestScript) ... ok (0.037s) 2022-12-01T10:45:31.7864707Z test_lhs_indexing_increment_list_prim (__main__.TestScript) ... ok (0.038s) 2022-12-01T10:45:31.7864813Z test_lhs_indexing_list (__main__.TestScript) ... ok (0.027s) 2022-12-01T10:45:31.7864928Z test_lhs_indexing_multi (__main__.TestScript) ... ok (0.035s) 2022-12-01T10:45:31.7865037Z test_linear_grad (__main__.TestScript) ... ok (0.044s) 2022-12-01T10:45:31.7865171Z test_list_comprehension_modulelist (__main__.TestScript) ... ok (0.077s) 2022-12-01T10:45:31.7865307Z test_list_comprehension_variable_write (__main__.TestScript) ... ok (0.179s) 2022-12-01T10:45:31.7865419Z test_list_iterables (__main__.TestScript) ... ok (0.009s) 2022-12-01T10:45:31.7865529Z test_list_python_op (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.7865636Z test_list_unify (__main__.TestScript) ... ok (0.017s) 2022-12-01T10:45:31.7865730Z test_literal (__main__.TestScript) ... ok (0.088s) 2022-12-01T10:45:31.7865834Z test_literals (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.7866187Z test_logical_short_circuit (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 6788 2022-12-01T10:45:31.7866248Z due to: 2022-12-01T10:45:31.7866335Z Traceback (most recent call last): 2022-12-01T10:45:31.7866488Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7866737Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7866976Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7866981Z 2022-12-01T10:45:31.7867037Z from user code: 2022-12-01T10:45:31.7867172Z File "test_jit.py", line 6795, in 2022-12-01T10:45:31.7867308Z FileCheck().check_not("prim::If").run(testNoThrows.graph) 2022-12-01T10:45:31.7867313Z 2022-12-01T10:45:31.7867438Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7867499Z ========== 2022-12-01T10:45:31.7867562Z ok (0.040s) 2022-12-01T10:45:31.7867671Z test_loop_liveness (__main__.TestScript) ... ok (0.012s) 2022-12-01T10:45:31.7867788Z test_loop_unroll_negative (__main__.TestScript) ... ok (0.097s) 2022-12-01T10:45:31.7868144Z test_loop_unroll_unused_counter (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11417 2022-12-01T10:45:31.7868206Z due to: 2022-12-01T10:45:31.7868294Z Traceback (most recent call last): 2022-12-01T10:45:31.7868455Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7868569Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7868911Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7868916Z 2022-12-01T10:45:31.7868982Z from user code: 2022-12-01T10:45:31.7869120Z File "test_jit.py", line 11417, in 2022-12-01T10:45:31.7869205Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.7869210Z 2022-12-01T10:45:31.7869337Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7869397Z ========== 2022-12-01T10:45:31.7869460Z ok (0.022s) 2022-12-01T10:45:31.7869819Z test_loop_unrolling (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11364 2022-12-01T10:45:31.7869882Z due to: 2022-12-01T10:45:31.7869968Z Traceback (most recent call last): 2022-12-01T10:45:31.7870117Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7870233Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7870527Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7870531Z 2022-12-01T10:45:31.7870599Z from user code: 2022-12-01T10:45:31.7870727Z File "test_jit.py", line 11364, in 2022-12-01T10:45:31.7870820Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.7870826Z 2022-12-01T10:45:31.7870952Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7871010Z ========== 2022-12-01T10:45:31.7871061Z ok (0.034s) 2022-12-01T10:45:31.7871379Z test_loop_unrolling_const (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11385 2022-12-01T10:45:31.7871440Z due to: 2022-12-01T10:45:31.7871528Z Traceback (most recent call last): 2022-12-01T10:45:31.7871687Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7871805Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7872099Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7872105Z 2022-12-01T10:45:31.7872169Z from user code: 2022-12-01T10:45:31.7872273Z File "test_jit.py", line 11385, in 2022-12-01T10:45:31.7872366Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.7872371Z 2022-12-01T10:45:31.7872494Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7872555Z ========== 2022-12-01T10:45:31.7872617Z ok (0.053s) 2022-12-01T10:45:31.7872970Z test_loop_unrolling_nested (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11402 2022-12-01T10:45:31.7873031Z due to: 2022-12-01T10:45:31.7873119Z Traceback (most recent call last): 2022-12-01T10:45:31.7873268Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7873382Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7873674Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7873678Z 2022-12-01T10:45:31.7873744Z from user code: 2022-12-01T10:45:31.7873881Z File "test_jit.py", line 11402, in 2022-12-01T10:45:31.7873974Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.7873978Z 2022-12-01T10:45:31.7874105Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7874165Z ========== 2022-12-01T10:45:31.7874217Z ok (0.083s) 2022-12-01T10:45:31.7874564Z test_lower_nested_tuples (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12841 2022-12-01T10:45:31.7874654Z due to: 2022-12-01T10:45:31.7874742Z Traceback (most recent call last): 2022-12-01T10:45:31.7874899Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7875015Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7875311Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7875316Z 2022-12-01T10:45:31.7875383Z from user code: 2022-12-01T10:45:31.7875507Z File "test_jit.py", line 12845, in 2022-12-01T10:45:31.7875699Z self.run_pass('constant_propagation', test.graph) 2022-12-01T10:45:31.7875704Z 2022-12-01T10:45:31.7875831Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7875889Z ========== 2022-12-01T10:45:31.7875952Z ok (0.023s) 2022-12-01T10:45:31.7876259Z test_math_ops (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 6540 2022-12-01T10:45:31.7876323Z due to: 2022-12-01T10:45:31.7876411Z Traceback (most recent call last): 2022-12-01T10:45:31.7876561Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7876633Z assert not kwargs 2022-12-01T10:45:31.7876702Z AssertionError 2022-12-01T10:45:31.7876707Z 2022-12-01T10:45:31.7876770Z from user code: 2022-12-01T10:45:31.7876887Z File "test_jit.py", line 6549, in 2022-12-01T10:45:31.7877061Z funcs_str = funcs_template.format(func=func_name, args=args, args_type=args_type, ret_type=ret_type) 2022-12-01T10:45:31.7877066Z 2022-12-01T10:45:31.7877193Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7877253Z ========== 2022-12-01T10:45:31.7877436Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7877498Z due to: 2022-12-01T10:45:31.7877584Z Traceback (most recent call last): 2022-12-01T10:45:31.7877743Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7877860Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7877943Z ValueError: math domain error 2022-12-01T10:45:31.7877948Z 2022-12-01T10:45:31.7878014Z from user code: 2022-12-01T10:45:31.7878088Z File "", line 4, in func 2022-12-01T10:45:31.7878094Z 2022-12-01T10:45:31.7878218Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7878276Z ========== 2022-12-01T10:45:31.7878469Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7878531Z due to: 2022-12-01T10:45:31.7878616Z Traceback (most recent call last): 2022-12-01T10:45:31.7878774Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7878883Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7878964Z ValueError: math domain error 2022-12-01T10:45:31.7878969Z 2022-12-01T10:45:31.7879034Z from user code: 2022-12-01T10:45:31.7879116Z File "", line 4, in func 2022-12-01T10:45:31.7879121Z 2022-12-01T10:45:31.7879246Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7879305Z ========== 2022-12-01T10:45:31.7879496Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7879555Z due to: 2022-12-01T10:45:31.7879632Z Traceback (most recent call last): 2022-12-01T10:45:31.7879793Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7879910Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7879993Z ValueError: math domain error 2022-12-01T10:45:31.7879998Z 2022-12-01T10:45:31.7880062Z from user code: 2022-12-01T10:45:31.7880144Z File "", line 4, in func 2022-12-01T10:45:31.7880192Z 2022-12-01T10:45:31.7880319Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7880376Z ========== 2022-12-01T10:45:31.7880559Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7880617Z due to: 2022-12-01T10:45:31.7880703Z Traceback (most recent call last): 2022-12-01T10:45:31.7880861Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7880975Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7881058Z ValueError: math domain error 2022-12-01T10:45:31.7881063Z 2022-12-01T10:45:31.7881130Z from user code: 2022-12-01T10:45:31.7881229Z File "", line 4, in func 2022-12-01T10:45:31.7881235Z 2022-12-01T10:45:31.7881360Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7881417Z ========== 2022-12-01T10:45:31.7881610Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7881674Z due to: 2022-12-01T10:45:31.7881764Z Traceback (most recent call last): 2022-12-01T10:45:31.7881922Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7882027Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7882111Z ValueError: math domain error 2022-12-01T10:45:31.7882115Z 2022-12-01T10:45:31.7882181Z from user code: 2022-12-01T10:45:31.7882258Z File "", line 4, in func 2022-12-01T10:45:31.7882263Z 2022-12-01T10:45:31.7882388Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7882447Z ========== 2022-12-01T10:45:31.7882640Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7882699Z due to: 2022-12-01T10:45:31.7882776Z Traceback (most recent call last): 2022-12-01T10:45:31.7882934Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7883049Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7883131Z ValueError: math domain error 2022-12-01T10:45:31.7883136Z 2022-12-01T10:45:31.7883201Z from user code: 2022-12-01T10:45:31.7883282Z File "", line 4, in func 2022-12-01T10:45:31.7883287Z 2022-12-01T10:45:31.7883412Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7883471Z ========== 2022-12-01T10:45:31.7883652Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7883712Z due to: 2022-12-01T10:45:31.7883796Z Traceback (most recent call last): 2022-12-01T10:45:31.7883952Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7884064Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7884143Z ValueError: math domain error 2022-12-01T10:45:31.7884148Z 2022-12-01T10:45:31.7884214Z from user code: 2022-12-01T10:45:31.7884286Z File "", line 4, in func 2022-12-01T10:45:31.7884292Z 2022-12-01T10:45:31.7884419Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7884478Z ========== 2022-12-01T10:45:31.7884670Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7884728Z due to: 2022-12-01T10:45:31.7884813Z Traceback (most recent call last): 2022-12-01T10:45:31.7884972Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7885077Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7885160Z ValueError: math domain error 2022-12-01T10:45:31.7885165Z 2022-12-01T10:45:31.7885233Z from user code: 2022-12-01T10:45:31.7885316Z File "", line 4, in func 2022-12-01T10:45:31.7885321Z 2022-12-01T10:45:31.7885447Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7885503Z ========== 2022-12-01T10:45:31.7885689Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7885780Z due to: 2022-12-01T10:45:31.7885857Z Traceback (most recent call last): 2022-12-01T10:45:31.7886014Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7886129Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7886212Z ValueError: math domain error 2022-12-01T10:45:31.7886217Z 2022-12-01T10:45:31.7886283Z from user code: 2022-12-01T10:45:31.7886362Z File "", line 4, in func 2022-12-01T10:45:31.7886367Z 2022-12-01T10:45:31.7886488Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7886544Z ========== 2022-12-01T10:45:31.7886756Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7886818Z due to: 2022-12-01T10:45:31.7886905Z Traceback (most recent call last): 2022-12-01T10:45:31.7887187Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7887306Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7887388Z ValueError: math domain error 2022-12-01T10:45:31.7887393Z 2022-12-01T10:45:31.7887462Z from user code: 2022-12-01T10:45:31.7887532Z File "", line 4, in func 2022-12-01T10:45:31.7887537Z 2022-12-01T10:45:31.7887662Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7887720Z ========== 2022-12-01T10:45:31.7887913Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7887974Z due to: 2022-12-01T10:45:31.7888062Z Traceback (most recent call last): 2022-12-01T10:45:31.7888222Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7888382Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7888465Z ValueError: math domain error 2022-12-01T10:45:31.7888470Z 2022-12-01T10:45:31.7888536Z from user code: 2022-12-01T10:45:31.7888618Z File "", line 4, in func 2022-12-01T10:45:31.7888623Z 2022-12-01T10:45:31.7888750Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7888808Z ========== 2022-12-01T10:45:31.7889004Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7889062Z due to: 2022-12-01T10:45:31.7889139Z Traceback (most recent call last): 2022-12-01T10:45:31.7889295Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7889410Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7889493Z ValueError: math domain error 2022-12-01T10:45:31.7889498Z 2022-12-01T10:45:31.7889568Z from user code: 2022-12-01T10:45:31.7889651Z File "", line 4, in func 2022-12-01T10:45:31.7889656Z 2022-12-01T10:45:31.7889783Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7889841Z ========== 2022-12-01T10:45:31.7890022Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7890083Z due to: 2022-12-01T10:45:31.7890169Z Traceback (most recent call last): 2022-12-01T10:45:31.7890328Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7890444Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7890530Z ValueError: math domain error 2022-12-01T10:45:31.7890534Z 2022-12-01T10:45:31.7890601Z from user code: 2022-12-01T10:45:31.7890672Z File "", line 4, in func 2022-12-01T10:45:31.7890676Z 2022-12-01T10:45:31.7890803Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7890861Z ========== 2022-12-01T10:45:31.7891055Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7891116Z due to: 2022-12-01T10:45:31.7891206Z Traceback (most recent call last): 2022-12-01T10:45:31.7891361Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7891524Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7891607Z ValueError: math domain error 2022-12-01T10:45:31.7891611Z 2022-12-01T10:45:31.7891676Z from user code: 2022-12-01T10:45:31.7891759Z File "", line 4, in func 2022-12-01T10:45:31.7891764Z 2022-12-01T10:45:31.7891890Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7891952Z ========== 2022-12-01T10:45:31.7892145Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7892211Z due to: 2022-12-01T10:45:31.7892287Z Traceback (most recent call last): 2022-12-01T10:45:31.7892483Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7892604Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7892685Z ValueError: math domain error 2022-12-01T10:45:31.7892689Z 2022-12-01T10:45:31.7892757Z from user code: 2022-12-01T10:45:31.7892839Z File "", line 4, in func 2022-12-01T10:45:31.7892844Z 2022-12-01T10:45:31.7892972Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7893030Z ========== 2022-12-01T10:45:31.7893212Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7893274Z due to: 2022-12-01T10:45:31.7893361Z Traceback (most recent call last): 2022-12-01T10:45:31.7893516Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7893628Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7893710Z ValueError: math domain error 2022-12-01T10:45:31.7893717Z 2022-12-01T10:45:31.7893782Z from user code: 2022-12-01T10:45:31.7893852Z File "", line 4, in func 2022-12-01T10:45:31.7893857Z 2022-12-01T10:45:31.7893981Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7894038Z ========== 2022-12-01T10:45:31.7894228Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7894289Z due to: 2022-12-01T10:45:31.7894376Z Traceback (most recent call last): 2022-12-01T10:45:31.7894533Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7894649Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7894721Z ValueError: math domain error 2022-12-01T10:45:31.7894725Z 2022-12-01T10:45:31.7894793Z from user code: 2022-12-01T10:45:31.7894873Z File "", line 4, in func 2022-12-01T10:45:31.7894878Z 2022-12-01T10:45:31.7895002Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7895062Z ========== 2022-12-01T10:45:31.7895249Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7895308Z due to: 2022-12-01T10:45:31.7895384Z Traceback (most recent call last): 2022-12-01T10:45:31.7895542Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7895658Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7895775Z OverflowError: cannot convert float infinity to integer 2022-12-01T10:45:31.7895780Z 2022-12-01T10:45:31.7895845Z from user code: 2022-12-01T10:45:31.7895924Z File "", line 4, in func 2022-12-01T10:45:31.7895929Z 2022-12-01T10:45:31.7896050Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7896108Z ========== 2022-12-01T10:45:31.7896288Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7896350Z due to: 2022-12-01T10:45:31.7896440Z Traceback (most recent call last): 2022-12-01T10:45:31.7896595Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7896709Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7896825Z OverflowError: cannot convert float infinity to integer 2022-12-01T10:45:31.7896863Z 2022-12-01T10:45:31.7896928Z from user code: 2022-12-01T10:45:31.7896998Z File "", line 4, in func 2022-12-01T10:45:31.7897013Z 2022-12-01T10:45:31.7897126Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7897188Z ========== 2022-12-01T10:45:31.7897379Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7897439Z due to: 2022-12-01T10:45:31.7897525Z Traceback (most recent call last): 2022-12-01T10:45:31.7897680Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7897791Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7897893Z ValueError: math domain error 2022-12-01T10:45:31.7897899Z 2022-12-01T10:45:31.7897964Z from user code: 2022-12-01T10:45:31.7898045Z File "", line 4, in func 2022-12-01T10:45:31.7898049Z 2022-12-01T10:45:31.7898172Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7898235Z ========== 2022-12-01T10:45:31.7898425Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT func line 2 2022-12-01T10:45:31.7898486Z due to: 2022-12-01T10:45:31.7898563Z Traceback (most recent call last): 2022-12-01T10:45:31.7898718Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:45:31.7898829Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:45:31.7898946Z ValueError: factorial() not defined for negative values 2022-12-01T10:45:31.7898951Z 2022-12-01T10:45:31.7899017Z from user code: 2022-12-01T10:45:31.7899098Z File "", line 4, in func 2022-12-01T10:45:31.7899103Z 2022-12-01T10:45:31.7899228Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7899287Z ========== 2022-12-01T10:45:31.7899340Z ok (0.339s) 2022-12-01T10:45:31.7899508Z test_maxpool_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-12-01T10:45:31.7899711Z test_meshgrid (__main__.TestScript) ... skip: Profiling executor fails to recognize that tensors in a list require gradients (0.001s) 2022-12-01T10:45:31.7900032Z test_method_casts_script (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_method_casts_script test_jit.py line 13194 2022-12-01T10:45:31.7900094Z due to: 2022-12-01T10:45:31.7900180Z Traceback (most recent call last): 2022-12-01T10:45:31.7900340Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.7900410Z assert not kwargs 2022-12-01T10:45:31.7900470Z AssertionError 2022-12-01T10:45:31.7900475Z 2022-12-01T10:45:31.7900544Z from user code: 2022-12-01T10:45:31.7900661Z File "test_jit.py", line 13203, in test_method_casts_script 2022-12-01T10:45:31.7900786Z '''.format(cast_type=cast_type)) 2022-12-01T10:45:31.7900791Z 2022-12-01T10:45:31.7900915Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7900974Z ========== 2022-12-01T10:45:31.7901036Z ok (0.007s) 2022-12-01T10:45:31.7901326Z test_method_no_self (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MethodNoSelf test_jit.py line 11524 2022-12-01T10:45:31.7901386Z due to: 2022-12-01T10:45:31.7901521Z Traceback (most recent call last): 2022-12-01T10:45:31.7908028Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7908136Z raise Unsupported(msg) 2022-12-01T10:45:31.7908257Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7908268Z 2022-12-01T10:45:31.7908326Z from user code: 2022-12-01T10:45:31.7908432Z File "test_jit.py", line 11524, in MethodNoSelf 2022-12-01T10:45:31.7908543Z class MethodNoSelf(torch.jit.ScriptModule): 2022-12-01T10:45:31.7908549Z 2022-12-01T10:45:31.7908679Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7908739Z ========== 2022-12-01T10:45:31.7908802Z ok (0.012s) 2022-12-01T10:45:31.7909211Z test_method_overloading (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Over test_jit.py line 14828 2022-12-01T10:45:31.7909264Z due to: 2022-12-01T10:45:31.7909353Z Traceback (most recent call last): 2022-12-01T10:45:31.7909501Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7909583Z raise Unsupported(msg) 2022-12-01T10:45:31.7909703Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7909708Z 2022-12-01T10:45:31.7909777Z from user code: 2022-12-01T10:45:31.7909872Z File "test_jit.py", line 14828, in Over 2022-12-01T10:45:31.7909949Z class Over(torch.nn.Module): 2022-12-01T10:45:31.7910005Z 2022-12-01T10:45:31.7910127Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7910186Z ========== 2022-12-01T10:45:31.7910391Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT S test_jit.py line 14848 2022-12-01T10:45:31.7910454Z due to: 2022-12-01T10:45:31.7910544Z Traceback (most recent call last): 2022-12-01T10:45:31.7910693Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7910772Z raise Unsupported(msg) 2022-12-01T10:45:31.7910881Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7910886Z 2022-12-01T10:45:31.7910952Z from user code: 2022-12-01T10:45:31.7911039Z File "test_jit.py", line 14848, in S 2022-12-01T10:45:31.7911136Z class S(torch.jit.ScriptModule): 2022-12-01T10:45:31.7911141Z 2022-12-01T10:45:31.7911268Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7911326Z ========== 2022-12-01T10:45:31.7911541Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 14849 2022-12-01T10:45:31.7911592Z due to: 2022-12-01T10:45:31.7911678Z Traceback (most recent call last): 2022-12-01T10:45:31.7911842Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7911967Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7912128Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7912133Z 2022-12-01T10:45:31.7912199Z from user code: 2022-12-01T10:45:31.7912298Z File "test_jit.py", line 14850, in __init__ 2022-12-01T10:45:31.7912376Z super(S, self).__init__() 2022-12-01T10:45:31.7912381Z 2022-12-01T10:45:31.7912498Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7912557Z ========== 2022-12-01T10:45:31.7912778Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Unannotated test_jit.py line 14865 2022-12-01T10:45:31.7912837Z due to: 2022-12-01T10:45:31.7912926Z Traceback (most recent call last): 2022-12-01T10:45:31.7913072Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7913149Z raise Unsupported(msg) 2022-12-01T10:45:31.7913259Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7913276Z 2022-12-01T10:45:31.7913333Z from user code: 2022-12-01T10:45:31.7913430Z File "test_jit.py", line 14865, in Unannotated 2022-12-01T10:45:31.7913526Z class Unannotated(torch.nn.Module): 2022-12-01T10:45:31.7913531Z 2022-12-01T10:45:31.7913655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7913716Z ========== 2022-12-01T10:45:31.7913954Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT CompileOverloadError test_jit.py line 14888 2022-12-01T10:45:31.7914012Z due to: 2022-12-01T10:45:31.7914090Z Traceback (most recent call last): 2022-12-01T10:45:31.7914236Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7914317Z raise Unsupported(msg) 2022-12-01T10:45:31.7914434Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7914439Z 2022-12-01T10:45:31.7914505Z from user code: 2022-12-01T10:45:31.7914623Z File "test_jit.py", line 14888, in CompileOverloadError 2022-12-01T10:45:31.7914775Z class CompileOverloadError(torch.nn.Module): 2022-12-01T10:45:31.7914780Z 2022-12-01T10:45:31.7914896Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7914953Z ========== 2022-12-01T10:45:31.7915156Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT W3 test_jit.py line 14914 2022-12-01T10:45:31.7915216Z due to: 2022-12-01T10:45:31.7915299Z Traceback (most recent call last): 2022-12-01T10:45:31.7915445Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7915522Z raise Unsupported(msg) 2022-12-01T10:45:31.7915638Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7915644Z 2022-12-01T10:45:31.7915700Z from user code: 2022-12-01T10:45:31.7915818Z File "test_jit.py", line 14914, in W3 2022-12-01T10:45:31.7915902Z class W3(torch.nn.Module): 2022-12-01T10:45:31.7915907Z 2022-12-01T10:45:31.7916030Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7916087Z ========== 2022-12-01T10:45:31.7916293Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT W2 test_jit.py line 14958 2022-12-01T10:45:31.7916352Z due to: 2022-12-01T10:45:31.7916429Z Traceback (most recent call last): 2022-12-01T10:45:31.7916577Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7916655Z raise Unsupported(msg) 2022-12-01T10:45:31.7916773Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7916777Z 2022-12-01T10:45:31.7916842Z from user code: 2022-12-01T10:45:31.7916930Z File "test_jit.py", line 14958, in W2 2022-12-01T10:45:31.7917010Z class W2(torch.nn.Module): 2022-12-01T10:45:31.7917015Z 2022-12-01T10:45:31.7917141Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7917191Z ========== 2022-12-01T10:45:31.7917254Z ok (0.198s) 2022-12-01T10:45:31.7917540Z test_missing_getstate (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo test_jit.py line 9262 2022-12-01T10:45:31.7917604Z due to: 2022-12-01T10:45:31.7917691Z Traceback (most recent call last): 2022-12-01T10:45:31.7917835Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7917914Z raise Unsupported(msg) 2022-12-01T10:45:31.7918021Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7918026Z 2022-12-01T10:45:31.7918093Z from user code: 2022-12-01T10:45:31.7918183Z File "test_jit.py", line 9262, in Foo 2022-12-01T10:45:31.7918266Z class Foo(torch.nn.Module): 2022-12-01T10:45:31.7918271Z 2022-12-01T10:45:31.7918395Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7918454Z ========== 2022-12-01T10:45:31.7918514Z ok (0.011s) 2022-12-01T10:45:31.7918616Z test_mm_batching (__main__.TestScript) ... ok (0.515s) 2022-12-01T10:45:31.7918897Z test_module_apis (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod test_jit.py line 8851 2022-12-01T10:45:31.7918958Z due to: 2022-12-01T10:45:31.7919047Z Traceback (most recent call last): 2022-12-01T10:45:31.7919192Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7919272Z raise Unsupported(msg) 2022-12-01T10:45:31.7919389Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7919394Z 2022-12-01T10:45:31.7919460Z from user code: 2022-12-01T10:45:31.7919541Z File "test_jit.py", line 8851, in MyMod 2022-12-01T10:45:31.7919627Z class MyMod(torch.nn.Module): 2022-12-01T10:45:31.7919632Z 2022-12-01T10:45:31.7919757Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7919816Z ========== 2022-12-01T10:45:31.7919880Z ok (0.087s) 2022-12-01T10:45:31.7920155Z test_module_attrs (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15346 2022-12-01T10:45:31.7920214Z due to: 2022-12-01T10:45:31.7920291Z Traceback (most recent call last): 2022-12-01T10:45:31.7920434Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7920574Z raise Unsupported(msg) 2022-12-01T10:45:31.7920691Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7920696Z 2022-12-01T10:45:31.7920764Z from user code: 2022-12-01T10:45:31.7920851Z File "test_jit.py", line 15346, in M 2022-12-01T10:45:31.7920946Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7920951Z 2022-12-01T10:45:31.7921077Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7921129Z ========== 2022-12-01T10:45:31.7921339Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15347 2022-12-01T10:45:31.7921398Z due to: 2022-12-01T10:45:31.7921517Z Traceback (most recent call last): 2022-12-01T10:45:31.7921683Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7921806Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7921966Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7921973Z 2022-12-01T10:45:31.7922030Z from user code: 2022-12-01T10:45:31.7922124Z File "test_jit.py", line 15348, in __init__ 2022-12-01T10:45:31.7922202Z super(M, self).__init__() 2022-12-01T10:45:31.7922207Z 2022-12-01T10:45:31.7922332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7922393Z ========== 2022-12-01T10:45:31.7922455Z ok (0.018s) 2022-12-01T10:45:31.7922771Z test_module_copy_with_attributes (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Vocabulary test_jit.py line 5227 2022-12-01T10:45:31.7922831Z due to: 2022-12-01T10:45:31.7922912Z Traceback (most recent call last): 2022-12-01T10:45:31.7923057Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7923135Z raise Unsupported(msg) 2022-12-01T10:45:31.7923253Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7923258Z 2022-12-01T10:45:31.7923326Z from user code: 2022-12-01T10:45:31.7923423Z File "test_jit.py", line 5227, in Vocabulary 2022-12-01T10:45:31.7923536Z class Vocabulary(torch.jit.ScriptModule): 2022-12-01T10:45:31.7923541Z 2022-12-01T10:45:31.7923657Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7923717Z ========== 2022-12-01T10:45:31.7923928Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 5228 2022-12-01T10:45:31.7923989Z due to: 2022-12-01T10:45:31.7924075Z Traceback (most recent call last): 2022-12-01T10:45:31.7924235Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7924360Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7924517Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7924522Z 2022-12-01T10:45:31.7924579Z from user code: 2022-12-01T10:45:31.7924675Z File "test_jit.py", line 5229, in __init__ 2022-12-01T10:45:31.7924765Z super(Vocabulary, self).__init__() 2022-12-01T10:45:31.7924770Z 2022-12-01T10:45:31.7924893Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7924950Z ========== 2022-12-01T10:45:31.7925012Z ok (0.016s) 2022-12-01T10:45:31.7925299Z test_module_copying (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Strong test_jit.py line 13305 2022-12-01T10:45:31.7925350Z due to: 2022-12-01T10:45:31.7925438Z Traceback (most recent call last): 2022-12-01T10:45:31.7925583Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7925662Z raise Unsupported(msg) 2022-12-01T10:45:31.7925787Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7925792Z 2022-12-01T10:45:31.7925859Z from user code: 2022-12-01T10:45:31.7925952Z File "test_jit.py", line 13305, in Strong 2022-12-01T10:45:31.7926057Z class Strong(torch.jit.ScriptModule): 2022-12-01T10:45:31.7926094Z 2022-12-01T10:45:31.7926210Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7926269Z ========== 2022-12-01T10:45:31.7926481Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 13306 2022-12-01T10:45:31.7926542Z due to: 2022-12-01T10:45:31.7926628Z Traceback (most recent call last): 2022-12-01T10:45:31.7926791Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7926914Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7927191Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7927209Z 2022-12-01T10:45:31.7927319Z from user code: 2022-12-01T10:45:31.7927417Z File "test_jit.py", line 13307, in __init__ 2022-12-01T10:45:31.7927498Z super(Strong, self).__init__() 2022-12-01T10:45:31.7927503Z 2022-12-01T10:45:31.7927626Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7927688Z ========== 2022-12-01T10:45:31.7927752Z ok (0.044s) 2022-12-01T10:45:31.7927863Z test_module_error (__main__.TestScript) ... ok (0.005s) 2022-12-01T10:45:31.7927984Z test_module_method_reassignment (__main__.TestScript) ... ok (0.011s) 2022-12-01T10:45:31.7928276Z test_module_none_attrs (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod test_jit.py line 15364 2022-12-01T10:45:31.7928420Z due to: 2022-12-01T10:45:31.7928513Z Traceback (most recent call last): 2022-12-01T10:45:31.7928658Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7928739Z raise Unsupported(msg) 2022-12-01T10:45:31.7928864Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7928868Z 2022-12-01T10:45:31.7928924Z from user code: 2022-12-01T10:45:31.7929019Z File "test_jit.py", line 15364, in MyMod 2022-12-01T10:45:31.7929121Z class MyMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7929126Z 2022-12-01T10:45:31.7929258Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7929318Z ========== 2022-12-01T10:45:31.7929533Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15365 2022-12-01T10:45:31.7929592Z due to: 2022-12-01T10:45:31.7929677Z Traceback (most recent call last): 2022-12-01T10:45:31.7929831Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7929952Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7930111Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7930116Z 2022-12-01T10:45:31.7930181Z from user code: 2022-12-01T10:45:31.7930279Z File "test_jit.py", line 15366, in __init__ 2022-12-01T10:45:31.7930363Z super(MyMod, self).__init__() 2022-12-01T10:45:31.7930368Z 2022-12-01T10:45:31.7930494Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7930543Z ========== 2022-12-01T10:45:31.7930607Z ok (0.011s) 2022-12-01T10:45:31.7930920Z test_module_parameters_and_buffers (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Strong test_jit.py line 13256 2022-12-01T10:45:31.7930982Z due to: 2022-12-01T10:45:31.7931070Z Traceback (most recent call last): 2022-12-01T10:45:31.7931214Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7931292Z raise Unsupported(msg) 2022-12-01T10:45:31.7931411Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7931416Z 2022-12-01T10:45:31.7931473Z from user code: 2022-12-01T10:45:31.7931568Z File "test_jit.py", line 13256, in Strong 2022-12-01T10:45:31.7931673Z class Strong(torch.jit.ScriptModule): 2022-12-01T10:45:31.7931678Z 2022-12-01T10:45:31.7931805Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7931864Z ========== 2022-12-01T10:45:31.7932075Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 13257 2022-12-01T10:45:31.7932183Z due to: 2022-12-01T10:45:31.7932261Z Traceback (most recent call last): 2022-12-01T10:45:31.7932422Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7932541Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7932697Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7932702Z 2022-12-01T10:45:31.7932766Z from user code: 2022-12-01T10:45:31.7932860Z File "test_jit.py", line 13258, in __init__ 2022-12-01T10:45:31.7932940Z super(Strong, self).__init__() 2022-12-01T10:45:31.7932944Z 2022-12-01T10:45:31.7933100Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7933151Z ========== 2022-12-01T10:45:31.7933379Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT reset_parameters test_jit.py line 13245 2022-12-01T10:45:31.7933438Z due to: 2022-12-01T10:45:31.7933525Z Traceback (most recent call last): 2022-12-01T10:45:31.7933680Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7933929Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7934163Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:45:31.7934169Z 2022-12-01T10:45:31.7934234Z from user code: 2022-12-01T10:45:31.7934329Z File "test_jit.py", line 13248, in reset_parameters 2022-12-01T10:45:31.7934462Z fan_in, _ = torch.nn.init._calculate_fan_in_and_fan_out(self.weight) 2022-12-01T10:45:31.7934467Z 2022-12-01T10:45:31.7934594Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7934653Z ========== 2022-12-01T10:45:31.7934715Z ok (0.048s) 2022-12-01T10:45:31.7934825Z test_module_str (__main__.TestScript) ... ok (0.008s) 2022-12-01T10:45:31.7935144Z test_module_with_params_called_fails (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ScriptMod test_jit.py line 12712 2022-12-01T10:45:31.7935207Z due to: 2022-12-01T10:45:31.7935285Z Traceback (most recent call last): 2022-12-01T10:45:31.7935431Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7935511Z raise Unsupported(msg) 2022-12-01T10:45:31.7935632Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7935637Z 2022-12-01T10:45:31.7935701Z from user code: 2022-12-01T10:45:31.7935800Z File "test_jit.py", line 12712, in ScriptMod 2022-12-01T10:45:31.7935910Z class ScriptMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7935915Z 2022-12-01T10:45:31.7936033Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7936091Z ========== 2022-12-01T10:45:31.7936302Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 12713 2022-12-01T10:45:31.7936364Z due to: 2022-12-01T10:45:31.7936450Z Traceback (most recent call last): 2022-12-01T10:45:31.7936616Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7936738Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7936897Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7936902Z 2022-12-01T10:45:31.7936958Z from user code: 2022-12-01T10:45:31.7937051Z File "test_jit.py", line 12714, in __init__ 2022-12-01T10:45:31.7937140Z super(ScriptMod, self).__init__() 2022-12-01T10:45:31.7937145Z 2022-12-01T10:45:31.7937269Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7937329Z ========== 2022-12-01T10:45:31.7937390Z ok (0.017s) 2022-12-01T10:45:31.7937506Z test_multi_reduction (__main__.TestScript) ... ok (0.009s) 2022-12-01T10:45:31.7937620Z test_multi_starred_expr_lhs (__main__.TestScript) ... ok (0.009s) 2022-12-01T10:45:31.7937743Z test_multiline_annot_ast_py3_fn (__main__.TestScript) ... ok (0.089s) 2022-12-01T10:45:31.7937914Z test_multiline_optional_future_refinement (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.7938038Z test_multiline_string_dedents (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.7938152Z test_multiple_assign (__main__.TestScript) ... ok (0.051s) 2022-12-01T10:45:31.7938272Z test_multiple_assignment (__main__.TestScript) ... ok (0.038s) 2022-12-01T10:45:31.7938594Z test_mutable_dce (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13579 2022-12-01T10:45:31.7938656Z due to: 2022-12-01T10:45:31.7938733Z Traceback (most recent call last): 2022-12-01T10:45:31.7938915Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7939163Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7939404Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7939411Z 2022-12-01T10:45:31.7939477Z from user code: 2022-12-01T10:45:31.7939602Z File "test_jit.py", line 13588, in 2022-12-01T10:45:31.7939725Z FileCheck().check_count("aten::rand", 2, exactly=True) \ 2022-12-01T10:45:31.7939730Z 2022-12-01T10:45:31.7939855Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7939906Z ========== 2022-12-01T10:45:31.7939968Z ok (0.021s) 2022-12-01T10:45:31.7940306Z test_mutable_dce_block (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13592 2022-12-01T10:45:31.7940366Z due to: 2022-12-01T10:45:31.7940453Z Traceback (most recent call last): 2022-12-01T10:45:31.7940607Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7940854Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7941097Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7941102Z 2022-12-01T10:45:31.7941158Z from user code: 2022-12-01T10:45:31.7941289Z File "test_jit.py", line 13603, in 2022-12-01T10:45:31.7941425Z FileCheck().check("prim::If").check_count("aten::rand", 1, exactly=True) \ 2022-12-01T10:45:31.7941429Z 2022-12-01T10:45:31.7941557Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7941618Z ========== 2022-12-01T10:45:31.7941679Z ok (0.022s) 2022-12-01T10:45:31.7942040Z test_mutable_dce_graph_input (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13607 2022-12-01T10:45:31.7942103Z due to: 2022-12-01T10:45:31.7942181Z Traceback (most recent call last): 2022-12-01T10:45:31.7942331Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7942574Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7942812Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7942817Z 2022-12-01T10:45:31.7942882Z from user code: 2022-12-01T10:45:31.7943018Z File "test_jit.py", line 13612, in 2022-12-01T10:45:31.7943151Z FileCheck().check("aten::rand").check("aten::add").run(str(foo.graph)) 2022-12-01T10:45:31.7943156Z 2022-12-01T10:45:31.7943282Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7943341Z ========== 2022-12-01T10:45:31.7943396Z ok (0.019s) 2022-12-01T10:45:31.7943536Z test_mutable_dce_indirect_wildcard_write (__main__.TestScript) ... ok (0.049s) 2022-12-01T10:45:31.7943667Z test_mutable_dce_indirect_wildcards (__main__.TestScript) ... ok (0.052s) 2022-12-01T10:45:31.7943999Z test_mutable_dce_list (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13615 2022-12-01T10:45:31.7944094Z due to: 2022-12-01T10:45:31.7944183Z Traceback (most recent call last): 2022-12-01T10:45:31.7944334Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7944566Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7944802Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7944807Z 2022-12-01T10:45:31.7944873Z from user code: 2022-12-01T10:45:31.7945074Z File "test_jit.py", line 13625, in 2022-12-01T10:45:31.7945212Z FileCheck().check_count("aten::rand", 2, exactly=True).run(str(foo.graph)) 2022-12-01T10:45:31.7945217Z 2022-12-01T10:45:31.7945344Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7945406Z ========== 2022-12-01T10:45:31.7945469Z ok (0.021s) 2022-12-01T10:45:31.7945807Z test_mutable_dce_loop (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 13628 2022-12-01T10:45:31.7945859Z due to: 2022-12-01T10:45:31.7945946Z Traceback (most recent call last): 2022-12-01T10:45:31.7946099Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7946341Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7946582Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7946587Z 2022-12-01T10:45:31.7946654Z from user code: 2022-12-01T10:45:31.7946782Z File "test_jit.py", line 13641, in 2022-12-01T10:45:31.7946928Z FileCheck().check("prim::Loop").check_not("aten::rand").check("aten::__getitem__") \ 2022-12-01T10:45:31.7946935Z 2022-12-01T10:45:31.7947055Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7947113Z ========== 2022-12-01T10:45:31.7947179Z ok (0.022s) 2022-12-01T10:45:31.7947302Z test_mutable_dce_wildcards (__main__.TestScript) ... ok (0.050s) 2022-12-01T10:45:31.7947594Z test_mutate_constant (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 3401 2022-12-01T10:45:31.7947654Z due to: 2022-12-01T10:45:31.7947741Z Traceback (most recent call last): 2022-12-01T10:45:31.7947904Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7948021Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7948180Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7948185Z 2022-12-01T10:45:31.7948250Z from user code: 2022-12-01T10:45:31.7948345Z File "test_jit.py", line 3402, in __init__ 2022-12-01T10:45:31.7948424Z super(M, self).__init__() 2022-12-01T10:45:31.7948428Z 2022-12-01T10:45:31.7948551Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7948608Z ========== 2022-12-01T10:45:31.7948661Z ok (0.010s) 2022-12-01T10:45:31.7948779Z test_mypy_type_ignore (__main__.TestScript) ... ok (0.035s) 2022-12-01T10:45:31.7949083Z test_named_buffers_are_iterable (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod test_jit.py line 15658 2022-12-01T10:45:31.7949143Z due to: 2022-12-01T10:45:31.7949230Z Traceback (most recent call last): 2022-12-01T10:45:31.7949378Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7949455Z raise Unsupported(msg) 2022-12-01T10:45:31.7949573Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7949578Z 2022-12-01T10:45:31.7949635Z from user code: 2022-12-01T10:45:31.7949728Z File "test_jit.py", line 15658, in MyMod 2022-12-01T10:45:31.7949847Z class MyMod(torch.nn.Module): 2022-12-01T10:45:31.7949852Z 2022-12-01T10:45:31.7949980Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7950040Z ========== 2022-12-01T10:45:31.7950101Z ok (0.058s) 2022-12-01T10:45:31.7950215Z test_namedtuple_attr (__main__.TestScript) ... ok (0.050s) 2022-12-01T10:45:31.7950532Z test_namedtuple_default_values_Tensor_type (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Point test_jit.py line 14494 2022-12-01T10:45:31.7950593Z due to: 2022-12-01T10:45:31.7950680Z Traceback (most recent call last): 2022-12-01T10:45:31.7950855Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7950937Z raise Unsupported(msg) 2022-12-01T10:45:31.7951054Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7951059Z 2022-12-01T10:45:31.7951121Z from user code: 2022-12-01T10:45:31.7951212Z File "test_jit.py", line 14494, in Point 2022-12-01T10:45:31.7951288Z class Point(NamedTuple): 2022-12-01T10:45:31.7951293Z 2022-12-01T10:45:31.7951417Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7951476Z ========== 2022-12-01T10:45:31.7951537Z ok (0.016s) 2022-12-01T10:45:31.7951686Z test_namedtuple_default_values_container_type (__main__.TestScript) ... ok (0.028s) 2022-12-01T10:45:31.7951823Z test_namedtuple_default_values_missing (__main__.TestScript) ... ok (0.027s) 2022-12-01T10:45:31.7951961Z test_namedtuple_default_values_simple_type (__main__.TestScript) ... ok (0.027s) 2022-12-01T10:45:31.7952413Z test_namedtuple_default_values_using_factory_constructor (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 14521 2022-12-01T10:45:31.7952465Z due to: 2022-12-01T10:45:31.7952553Z Traceback (most recent call last): 2022-12-01T10:45:31.7952704Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7952951Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7953190Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7953195Z 2022-12-01T10:45:31.7953263Z from user code: 2022-12-01T10:45:31.7953434Z File "test_jit.py", line 14532, in 2022-12-01T10:45:31.7953559Z FileCheck().check(r"NamedTuple(x : Tensor = 1, y : Tensor = 2))") \ 2022-12-01T10:45:31.7953565Z 2022-12-01T10:45:31.7953683Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7953744Z ========== 2022-12-01T10:45:31.7953805Z ok (0.035s) 2022-12-01T10:45:31.7954144Z test_namedtuple_python (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 3497 2022-12-01T10:45:31.7954205Z due to: 2022-12-01T10:45:31.7954292Z Traceback (most recent call last): 2022-12-01T10:45:31.7954441Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7954687Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7954918Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.7954923Z 2022-12-01T10:45:31.7954992Z from user code: 2022-12-01T10:45:31.7955124Z File "test_jit.py", line 3502, in 2022-12-01T10:45:31.7955235Z FileCheck().check("NamedTuple").run(fn2.graph) 2022-12-01T10:45:31.7955240Z 2022-12-01T10:45:31.7955364Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7955421Z ========== 2022-12-01T10:45:31.7955626Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod test_jit.py line 3504 2022-12-01T10:45:31.7955717Z due to: 2022-12-01T10:45:31.7955795Z Traceback (most recent call last): 2022-12-01T10:45:31.7955942Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7956022Z raise Unsupported(msg) 2022-12-01T10:45:31.7956141Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7956146Z 2022-12-01T10:45:31.7956210Z from user code: 2022-12-01T10:45:31.7956301Z File "test_jit.py", line 3504, in MyMod 2022-12-01T10:45:31.7956387Z class MyMod(torch.nn.Module): 2022-12-01T10:45:31.7956392Z 2022-12-01T10:45:31.7956509Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7956565Z ========== 2022-12-01T10:45:31.7956655Z ok (0.052s) 2022-12-01T10:45:31.7956785Z test_namedtuple_type_inference (__main__.TestScript) ... ok (0.056s) 2022-12-01T10:45:31.7956895Z test_narrow_copy (__main__.TestScript) ... ok (0.030s) 2022-12-01T10:45:31.7957010Z test_nested_aug_assign (__main__.TestScript) ... ok (0.062s) 2022-12-01T10:45:31.7957128Z test_nested_bailouts (__main__.TestScript) ... ok (0.044s) 2022-12-01T10:45:31.7957455Z test_nested_breaks (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 7860 2022-12-01T10:45:31.7957508Z due to: 2022-12-01T10:45:31.7957594Z Traceback (most recent call last): 2022-12-01T10:45:31.7957751Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7957865Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7958163Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7958169Z 2022-12-01T10:45:31.7958234Z from user code: 2022-12-01T10:45:31.7958361Z File "test_jit.py", line 7860, in 2022-12-01T10:45:31.7958478Z no_bool_loop_outputs(torch.jit.script(test).graph) 2022-12-01T10:45:31.7958485Z 2022-12-01T10:45:31.7958600Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7958659Z ========== 2022-12-01T10:45:31.7958720Z ok (0.196s) 2022-12-01T10:45:31.7958841Z test_nested_list_construct (__main__.TestScript) ... ok (0.038s) 2022-12-01T10:45:31.7958958Z test_nested_select_assign (__main__.TestScript) ... ok (0.034s) 2022-12-01T10:45:31.7959234Z test_nn_GRU (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn_GRU test_jit.py line 15036 2022-12-01T10:45:31.7959294Z due to: 2022-12-01T10:45:31.7959373Z Traceback (most recent call last): 2022-12-01T10:45:31.7959588Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.7959683Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.7959910Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.7959916Z 2022-12-01T10:45:31.7960047Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7960055Z 2022-12-01T10:45:31.7960141Z Traceback (most recent call last): 2022-12-01T10:45:31.7960294Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7960387Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7960481Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7960496Z 2022-12-01T10:45:31.7960552Z from user code: 2022-12-01T10:45:31.7960650Z File "test_jit.py", line 15037, in test_nn_GRU 2022-12-01T10:45:31.7960787Z seq_input = torch.nn.utils.rnn.pack_sequence([torch.randn(5, 5)]) 2022-12-01T10:45:31.7960792Z 2022-12-01T10:45:31.7960917Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7960977Z ========== 2022-12-01T10:45:31.7961201Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SeqLengthGRU test_jit.py line 15040 2022-12-01T10:45:31.7961263Z due to: 2022-12-01T10:45:31.7961341Z Traceback (most recent call last): 2022-12-01T10:45:31.7961532Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7961612Z raise Unsupported(msg) 2022-12-01T10:45:31.7961731Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7961736Z 2022-12-01T10:45:31.7961802Z from user code: 2022-12-01T10:45:31.7961904Z File "test_jit.py", line 15040, in SeqLengthGRU 2022-12-01T10:45:31.7962018Z class SeqLengthGRU(torch.jit.ScriptModule): 2022-12-01T10:45:31.7962024Z 2022-12-01T10:45:31.7962150Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7962202Z ========== 2022-12-01T10:45:31.7962420Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TensorGRU test_jit.py line 15049 2022-12-01T10:45:31.7962510Z due to: 2022-12-01T10:45:31.7962600Z Traceback (most recent call last): 2022-12-01T10:45:31.7962747Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7962828Z raise Unsupported(msg) 2022-12-01T10:45:31.7962949Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7962954Z 2022-12-01T10:45:31.7963011Z from user code: 2022-12-01T10:45:31.7963104Z File "test_jit.py", line 15049, in TensorGRU 2022-12-01T10:45:31.7963215Z class TensorGRU(torch.jit.ScriptModule): 2022-12-01T10:45:31.7963220Z 2022-12-01T10:45:31.7963345Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7963405Z ========== 2022-12-01T10:45:31.7963621Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15041 2022-12-01T10:45:31.7963681Z due to: 2022-12-01T10:45:31.7963759Z Traceback (most recent call last): 2022-12-01T10:45:31.7963926Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7964045Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7964204Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7964209Z 2022-12-01T10:45:31.7964277Z from user code: 2022-12-01T10:45:31.7964373Z File "test_jit.py", line 15042, in __init__ 2022-12-01T10:45:31.7964466Z super(SeqLengthGRU, self).__init__() 2022-12-01T10:45:31.7964472Z 2022-12-01T10:45:31.7964599Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7964649Z ========== 2022-12-01T10:45:31.7964859Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15050 2022-12-01T10:45:31.7964918Z due to: 2022-12-01T10:45:31.7965005Z Traceback (most recent call last): 2022-12-01T10:45:31.7965168Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7965292Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7965450Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7965455Z 2022-12-01T10:45:31.7965521Z from user code: 2022-12-01T10:45:31.7965606Z File "test_jit.py", line 15051, in __init__ 2022-12-01T10:45:31.7965695Z super(TensorGRU, self).__init__() 2022-12-01T10:45:31.7965700Z 2022-12-01T10:45:31.7965823Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7965881Z ========== 2022-12-01T10:45:31.7966127Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT > test_jit.py line 15061 2022-12-01T10:45:31.7966190Z due to: 2022-12-01T10:45:31.7966275Z Traceback (most recent call last): 2022-12-01T10:45:31.7966489Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7966674Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7966868Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7966873Z 2022-12-01T10:45:31.7967127Z from user code: 2022-12-01T10:45:31.7967243Z File "test_jit.py", line 15061, in > 2022-12-01T10:45:31.7967397Z tensor_script_out = self.runAndSaveRNG(lambda x: TensorGRU()(x), (tensor_input,))[0] 2022-12-01T10:45:31.7967451Z 2022-12-01T10:45:31.7967580Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7967640Z ========== 2022-12-01T10:45:31.7967693Z ok (0.176s) 2022-12-01T10:45:31.7967975Z test_nn_LSTM (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nn_LSTM test_jit.py line 15019 2022-12-01T10:45:31.7968034Z due to: 2022-12-01T10:45:31.7968121Z Traceback (most recent call last): 2022-12-01T10:45:31.7968411Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.7968509Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.7968782Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.7968788Z 2022-12-01T10:45:31.7968920Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7968926Z 2022-12-01T10:45:31.7969002Z Traceback (most recent call last): 2022-12-01T10:45:31.7969153Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7969245Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7969348Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7969353Z 2022-12-01T10:45:31.7969419Z from user code: 2022-12-01T10:45:31.7969520Z File "test_jit.py", line 15020, in test_nn_LSTM 2022-12-01T10:45:31.7969650Z input = torch.nn.utils.rnn.pack_sequence([torch.randn(5, 5)]) 2022-12-01T10:45:31.7969656Z 2022-12-01T10:45:31.7969784Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7969833Z ========== 2022-12-01T10:45:31.7970041Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT S test_jit.py line 15022 2022-12-01T10:45:31.7970103Z due to: 2022-12-01T10:45:31.7970191Z Traceback (most recent call last): 2022-12-01T10:45:31.7970339Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7970418Z raise Unsupported(msg) 2022-12-01T10:45:31.7970540Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7970546Z 2022-12-01T10:45:31.7970610Z from user code: 2022-12-01T10:45:31.7970688Z File "test_jit.py", line 15022, in S 2022-12-01T10:45:31.7970784Z class S(torch.jit.ScriptModule): 2022-12-01T10:45:31.7970788Z 2022-12-01T10:45:31.7970912Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7970973Z ========== 2022-12-01T10:45:31.7971185Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15023 2022-12-01T10:45:31.7971246Z due to: 2022-12-01T10:45:31.7971331Z Traceback (most recent call last): 2022-12-01T10:45:31.7971486Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7971608Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7971765Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7971770Z 2022-12-01T10:45:31.7971841Z from user code: 2022-12-01T10:45:31.7971936Z File "test_jit.py", line 15024, in __init__ 2022-12-01T10:45:31.7972016Z super(S, self).__init__() 2022-12-01T10:45:31.7972021Z 2022-12-01T10:45:31.7972145Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7972205Z ========== 2022-12-01T10:45:31.7972258Z ok (0.104s) 2022-12-01T10:45:31.7972550Z test_nn_LSTM_with_layers (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 14996 2022-12-01T10:45:31.7972640Z due to: 2022-12-01T10:45:31.7972771Z Traceback (most recent call last): 2022-12-01T10:45:31.7972927Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7973010Z raise Unsupported(msg) 2022-12-01T10:45:31.7973132Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7973137Z 2022-12-01T10:45:31.7973192Z from user code: 2022-12-01T10:45:31.7973278Z File "test_jit.py", line 14996, in M 2022-12-01T10:45:31.7973414Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.7973419Z 2022-12-01T10:45:31.7973545Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7973603Z ========== 2022-12-01T10:45:31.7973819Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 14997 2022-12-01T10:45:31.7973877Z due to: 2022-12-01T10:45:31.7973954Z Traceback (most recent call last): 2022-12-01T10:45:31.7974117Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7974236Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7974426Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7974431Z 2022-12-01T10:45:31.7974499Z from user code: 2022-12-01T10:45:31.7974594Z File "test_jit.py", line 14998, in __init__ 2022-12-01T10:45:31.7974672Z super(M, self).__init__() 2022-12-01T10:45:31.7974677Z 2022-12-01T10:45:31.7974801Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7974853Z ========== 2022-12-01T10:45:31.7975095Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT > test_jit.py line 15015 2022-12-01T10:45:31.7975151Z due to: 2022-12-01T10:45:31.7975239Z Traceback (most recent call last): 2022-12-01T10:45:31.7975461Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.7975646Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.7975836Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.7975841Z 2022-12-01T10:45:31.7975908Z from user code: 2022-12-01T10:45:31.7976014Z File "test_jit.py", line 15015, in > 2022-12-01T10:45:31.7976139Z script_out = self.runAndSaveRNG(lambda: M()(*inputs), ())[0] 2022-12-01T10:45:31.7976144Z 2022-12-01T10:45:31.7976270Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7976332Z ========== 2022-12-01T10:45:31.7976395Z ok (0.145s) 2022-12-01T10:45:31.7976498Z test_nn_init (__main__.TestScript) ... ok (0.482s) 2022-12-01T10:45:31.7976608Z test_no_dtype_shape (__main__.TestScript) ... ok (0.107s) 2022-12-01T10:45:31.7976905Z test_no_self_arg_ignore_function (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyModule test_jit.py line 3278 2022-12-01T10:45:31.7976969Z due to: 2022-12-01T10:45:31.7977056Z Traceback (most recent call last): 2022-12-01T10:45:31.7977204Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7977283Z raise Unsupported(msg) 2022-12-01T10:45:31.7977405Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7977410Z 2022-12-01T10:45:31.7977476Z from user code: 2022-12-01T10:45:31.7977572Z File "test_jit.py", line 3278, in MyModule 2022-12-01T10:45:31.7977645Z class MyModule(nn.Module): 2022-12-01T10:45:31.7977650Z 2022-12-01T10:45:31.7977779Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7977839Z ========== 2022-12-01T10:45:31.7977899Z ok (0.009s) 2022-12-01T10:45:31.7978015Z test_non_final_return (__main__.TestScript) ... ok (0.412s) 2022-12-01T10:45:31.7978338Z test_none_type_str (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11664 2022-12-01T10:45:31.7978399Z due to: 2022-12-01T10:45:31.7978476Z Traceback (most recent call last): 2022-12-01T10:45:31.7978635Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.7978747Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.7979046Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.7979051Z 2022-12-01T10:45:31.7979118Z from user code: 2022-12-01T10:45:31.7979243Z File "test_jit.py", line 11666, in 2022-12-01T10:45:31.7979393Z python_type = eval(none_type.annotation_str, g) 2022-12-01T10:45:31.7979397Z 2022-12-01T10:45:31.7979523Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7979580Z ========== 2022-12-01T10:45:31.7979633Z ok (0.009s) 2022-12-01T10:45:31.7979731Z test_not (__main__.TestScript) ... ok (0.033s) 2022-12-01T10:45:31.7979845Z test_not_initialized_err (__main__.TestScript) ... ok (0.010s) 2022-12-01T10:45:31.7979958Z test_ntuple_builtins (__main__.TestScript) ... ok (0.046s) 2022-12-01T10:45:31.7980063Z test_number_abs (__main__.TestScript) ... ok (0.099s) 2022-12-01T10:45:31.7980208Z test_number_augassign (__main__.TestScript) ... ok (0.037s) 2022-12-01T10:45:31.7980342Z test_number_augassign_bitwise_lshift (__main__.TestScript) ... ok (0.037s) 2022-12-01T10:45:31.7980461Z test_number_augassign_bitwise_pow (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.7980593Z test_number_augassign_bitwise_rshift (__main__.TestScript) ... ok (0.035s) 2022-12-01T10:45:31.7980699Z test_number_div (__main__.TestScript) ... ok (0.054s) 2022-12-01T10:45:31.7981007Z test_number_math (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 7059 2022-12-01T10:45:31.7981068Z due to: 2022-12-01T10:45:31.7981155Z Traceback (most recent call last): 2022-12-01T10:45:31.7981306Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.7981552Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.7981825Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.7981830Z 2022-12-01T10:45:31.7981898Z from user code: 2022-12-01T10:45:31.7982014Z File "test_jit.py", line 7060, in 2022-12-01T10:45:31.7982117Z cu = torch.jit.CompilationUnit(code) 2022-12-01T10:45:31.7982124Z 2022-12-01T10:45:31.7982250Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7982311Z ========== 2022-12-01T10:45:31.7982375Z ok (54.508s) 2022-12-01T10:45:31.7982473Z test_number_neg (__main__.TestScript) ... ok (0.043s) 2022-12-01T10:45:31.7982638Z test_old_models_bc (__main__.TestScript) ... skip: PyTorch is build without Caffe2 support (0.001s) 2022-12-01T10:45:31.7982745Z test_oneline_func (__main__.TestScript) ... ok (0.097s) 2022-12-01T10:45:31.7982852Z test_op_dtype (__main__.TestScript) ... ok (0.260s) 2022-12-01T10:45:31.7982974Z test_operator_precedence (__main__.TestScript) ... ok (0.043s) 2022-12-01T10:45:31.7983264Z test_optional_list (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.002s) 2022-12-01T10:45:31.7983554Z test_optional_tensor (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.002s) 2022-12-01T10:45:31.7983655Z test_ord (__main__.TestScript) ... ok (0.096s) 2022-12-01T10:45:31.7983952Z test_override_magic (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT OverrideMagic test_jit.py line 9020 2022-12-01T10:45:31.7984003Z due to: 2022-12-01T10:45:31.7984091Z Traceback (most recent call last): 2022-12-01T10:45:31.7984236Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7984313Z raise Unsupported(msg) 2022-12-01T10:45:31.7984432Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7984438Z 2022-12-01T10:45:31.7984505Z from user code: 2022-12-01T10:45:31.7984607Z File "test_jit.py", line 9020, in OverrideMagic 2022-12-01T10:45:31.7984688Z class OverrideMagic(nn.Module): 2022-12-01T10:45:31.7984704Z 2022-12-01T10:45:31.7984819Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7984879Z ========== 2022-12-01T10:45:31.7985107Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT OverrideMagicSeq test_jit.py line 9031 2022-12-01T10:45:31.7985203Z due to: 2022-12-01T10:45:31.7985291Z Traceback (most recent call last): 2022-12-01T10:45:31.7985438Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7985517Z raise Unsupported(msg) 2022-12-01T10:45:31.7985628Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7985633Z 2022-12-01T10:45:31.7985698Z from user code: 2022-12-01T10:45:31.7985806Z File "test_jit.py", line 9031, in OverrideMagicSeq 2022-12-01T10:45:31.7985908Z class OverrideMagicSeq(nn.Sequential): 2022-12-01T10:45:31.7985913Z 2022-12-01T10:45:31.7986069Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7986129Z ========== 2022-12-01T10:45:31.7986191Z ok (0.053s) 2022-12-01T10:45:31.7986495Z test_pack_padded_pad_packed_trace (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_jit.py line 9760 2022-12-01T10:45:31.7986554Z due to: 2022-12-01T10:45:31.7986641Z Traceback (most recent call last): 2022-12-01T10:45:31.7986852Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.7986945Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.7987171Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.7987176Z 2022-12-01T10:45:31.7987306Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.7987311Z 2022-12-01T10:45:31.7987397Z Traceback (most recent call last): 2022-12-01T10:45:31.7987540Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.7987634Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.7987736Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.7987742Z 2022-12-01T10:45:31.7987808Z from user code: 2022-12-01T10:45:31.7987902Z File "test_jit.py", line 9761, in forward 2022-12-01T10:45:31.7987997Z x = pack_padded_sequence(x, seq_lens) 2022-12-01T10:45:31.7988001Z 2022-12-01T10:45:31.7988126Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7988185Z ========== 2022-12-01T10:45:31.7988508Z test_jit.py:9793: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead. 2022-12-01T10:45:31.7988618Z torch.onnx._export(m, (x, seq_lens), f, verbose=False) 2022-12-01T10:45:31.7989366Z /opt/conda/lib/python3.7/site-packages/torch/onnx/_internal/jit_utils.py:258: UserWarning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/jit/passes/onnx/shape_type_inference.cpp:1888.) 2022-12-01T10:45:31.7989509Z _C._jit_pass_onnx_node_shape_type_inference(node, params_dict, opset_version) 2022-12-01T10:45:31.7990226Z /opt/conda/lib/python3.7/site-packages/torch/onnx/_internal/jit_utils.py:258: UserWarning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/jit/passes/onnx/shape_type_inference.cpp:1888.) 2022-12-01T10:45:31.7990373Z _C._jit_pass_onnx_node_shape_type_inference(node, params_dict, opset_version) 2022-12-01T10:45:31.7990435Z ok (0.055s) 2022-12-01T10:45:31.7990559Z test_pack_tuple_into_non_var (__main__.TestScript) ... ok (0.026s) 2022-12-01T10:45:31.7990863Z test_pack_unpack_nested (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubSubMod test_jit.py line 9291 2022-12-01T10:45:31.7990929Z due to: 2022-12-01T10:45:31.7991007Z Traceback (most recent call last): 2022-12-01T10:45:31.7991153Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7991267Z raise Unsupported(msg) 2022-12-01T10:45:31.7991386Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7991391Z 2022-12-01T10:45:31.7991457Z from user code: 2022-12-01T10:45:31.7991556Z File "test_jit.py", line 9291, in SubSubMod 2022-12-01T10:45:31.7991664Z class SubSubMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7991669Z 2022-12-01T10:45:31.7991797Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7991847Z ========== 2022-12-01T10:45:31.7992058Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SubMod test_jit.py line 9308 2022-12-01T10:45:31.7992117Z due to: 2022-12-01T10:45:31.7992207Z Traceback (most recent call last): 2022-12-01T10:45:31.7992387Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7992467Z raise Unsupported(msg) 2022-12-01T10:45:31.7992588Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7992593Z 2022-12-01T10:45:31.7992649Z from user code: 2022-12-01T10:45:31.7992744Z File "test_jit.py", line 9308, in SubMod 2022-12-01T10:45:31.7992847Z class SubMod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7992852Z 2022-12-01T10:45:31.7992976Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7993037Z ========== 2022-12-01T10:45:31.7993243Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Mod test_jit.py line 9326 2022-12-01T10:45:31.7993305Z due to: 2022-12-01T10:45:31.7993382Z Traceback (most recent call last): 2022-12-01T10:45:31.7993527Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.7993604Z raise Unsupported(msg) 2022-12-01T10:45:31.7993726Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.7993730Z 2022-12-01T10:45:31.7993796Z from user code: 2022-12-01T10:45:31.7993886Z File "test_jit.py", line 9326, in Mod 2022-12-01T10:45:31.7993982Z class Mod(torch.jit.ScriptModule): 2022-12-01T10:45:31.7993987Z 2022-12-01T10:45:31.7994114Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7994165Z ========== 2022-12-01T10:45:31.7994373Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9327 2022-12-01T10:45:31.7994432Z due to: 2022-12-01T10:45:31.7994519Z Traceback (most recent call last): 2022-12-01T10:45:31.7994684Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7994807Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7994967Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7994972Z 2022-12-01T10:45:31.7995039Z from user code: 2022-12-01T10:45:31.7995126Z File "test_jit.py", line 9328, in __init__ 2022-12-01T10:45:31.7995206Z super(Mod, self).__init__() 2022-12-01T10:45:31.7995211Z 2022-12-01T10:45:31.7995338Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7995397Z ========== 2022-12-01T10:45:31.7995608Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9309 2022-12-01T10:45:31.7995669Z due to: 2022-12-01T10:45:31.7995757Z Traceback (most recent call last): 2022-12-01T10:45:31.7995913Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7996035Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7996191Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7996196Z 2022-12-01T10:45:31.7996259Z from user code: 2022-12-01T10:45:31.7996353Z File "test_jit.py", line 9310, in __init__ 2022-12-01T10:45:31.7996437Z super(SubMod, self).__init__() 2022-12-01T10:45:31.7996444Z 2022-12-01T10:45:31.7996569Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7996630Z ========== 2022-12-01T10:45:31.7996829Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9292 2022-12-01T10:45:31.7996888Z due to: 2022-12-01T10:45:31.7997008Z Traceback (most recent call last): 2022-12-01T10:45:31.7997167Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.7997289Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.7997443Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.7997448Z 2022-12-01T10:45:31.7997519Z from user code: 2022-12-01T10:45:31.7997603Z File "test_jit.py", line 9293, in __init__ 2022-12-01T10:45:31.7997692Z super(SubSubMod, self).__init__() 2022-12-01T10:45:31.7997697Z 2022-12-01T10:45:31.7997819Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7997911Z ========== 2022-12-01T10:45:31.7998121Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 9346 2022-12-01T10:45:31.7998179Z due to: 2022-12-01T10:45:31.7998264Z Traceback (most recent call last): 2022-12-01T10:45:31.7998426Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.7998534Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.7998708Z AttributeError: 'NoneType' object has no attribute '__code__' 2022-12-01T10:45:31.7998713Z 2022-12-01T10:45:31.7998778Z from user code: 2022-12-01T10:45:31.7998871Z File "test_jit.py", line 9346, in 2022-12-01T10:45:31.7998954Z m.apply(lambda s: s._pack()) 2022-12-01T10:45:31.7998959Z 2022-12-01T10:45:31.7999085Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.7999144Z ========== 2022-12-01T10:45:31.7999356Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 9348 2022-12-01T10:45:31.7999408Z due to: 2022-12-01T10:45:31.7999496Z Traceback (most recent call last): 2022-12-01T10:45:31.7999657Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:45:31.7999770Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:45:31.7999945Z AttributeError: 'NoneType' object has no attribute '__code__' 2022-12-01T10:45:31.7999950Z 2022-12-01T10:45:31.8000014Z from user code: 2022-12-01T10:45:31.8000111Z File "test_jit.py", line 9348, in 2022-12-01T10:45:31.8000187Z m.apply(lambda s: s._unpack()) 2022-12-01T10:45:31.8000191Z 2022-12-01T10:45:31.8000318Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8000377Z ========== 2022-12-01T10:45:31.8000438Z ok (0.054s) 2022-12-01T10:45:31.8000755Z test_pack_unpack_state (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pack_unpack_state test_jit.py line 9140 2022-12-01T10:45:31.8000820Z due to: 2022-12-01T10:45:31.8000904Z Traceback (most recent call last): 2022-12-01T10:45:31.8001072Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:45:31.8001164Z return super().call_method(tx, args, kwargs) 2022-12-01T10:45:31.8001364Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:45:31.8001369Z 2022-12-01T10:45:31.8001438Z from user code: 2022-12-01T10:45:31.8001551Z File "test_jit.py", line 9141, in test_pack_unpack_state 2022-12-01T10:45:31.8001662Z sm = TestScript.DerivedStateModule() 2022-12-01T10:45:31.8001667Z 2022-12-01T10:45:31.8001794Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8001851Z ========== 2022-12-01T10:45:31.8002051Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9116 2022-12-01T10:45:31.8002113Z due to: 2022-12-01T10:45:31.8002202Z Traceback (most recent call last): 2022-12-01T10:45:31.8002367Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8002486Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8002680Z NotImplementedError: GetAttrVariable(UserDefinedClassVariable(), DerivedStateModule) is not a constant 2022-12-01T10:45:31.8002727Z 2022-12-01T10:45:31.8002795Z from user code: 2022-12-01T10:45:31.8002891Z File "test_jit.py", line 9117, in __init__ 2022-12-01T10:45:31.8003011Z super(TestScript.DerivedStateModule, self).__init__() 2022-12-01T10:45:31.8003016Z 2022-12-01T10:45:31.8003139Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8003198Z ========== 2022-12-01T10:45:31.8003262Z ok (0.017s) 2022-12-01T10:45:31.8003415Z test_parameter_order (__main__.TestScript) ... tensor([51., 50., 49., 48., 47., 46., 45., 44., 43., 42., 41., 40., 39., 38., 2022-12-01T10:45:31.8003509Z 37., 36., 35., 34., 33., 32., 31., 30., 29., 28., 27., 26., 51., 50., 2022-12-01T10:45:31.8003631Z 49., 48., 47., 46., 45., 44., 43., 42., 41., 40., 39., 38., 37., 36., 2022-12-01T10:45:31.8003715Z 35., 34., 33., 32., 31., 30., 29., 28., 27., 26.], 2022-12-01T10:45:31.8003786Z grad_fn=) 2022-12-01T10:45:31.8003887Z tensor([51., 50., 49., 48., 47., 46., 45., 44., 43., 42., 41., 40., 39., 38., 2022-12-01T10:45:31.8003983Z 37., 36., 35., 34., 33., 32., 31., 30., 29., 28., 27., 26., 51., 50., 2022-12-01T10:45:31.8004075Z 49., 48., 47., 46., 45., 44., 43., 42., 41., 40., 39., 38., 37., 36., 2022-12-01T10:45:31.8004159Z 35., 34., 33., 32., 31., 30., 29., 28., 27., 26.], 2022-12-01T10:45:31.8004237Z grad_fn=) 2022-12-01T10:45:31.8004296Z ok (0.420s) 2022-12-01T10:45:31.8004638Z test_parse_empty_tuple_annotation (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parse_empty_tuple_annotation test_jit.py line 11631 2022-12-01T10:45:31.8004703Z due to: 2022-12-01T10:45:31.8004794Z Traceback (most recent call last): 2022-12-01T10:45:31.8004946Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8005190Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8005471Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8005476Z 2022-12-01T10:45:31.8005542Z from user code: 2022-12-01T10:45:31.8005667Z File "test_jit.py", line 11635, in test_parse_empty_tuple_annotation 2022-12-01T10:45:31.8005736Z ''') 2022-12-01T10:45:31.8005752Z 2022-12-01T10:45:31.8005869Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8005931Z ========== 2022-12-01T10:45:31.8005993Z ok (0.004s) 2022-12-01T10:45:31.8006139Z test_parse_empty_tuple_annotation_element_error (__main__.TestScript) ... ok (0.026s) 2022-12-01T10:45:31.8006458Z test_parse_nested_names (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parse_nested_names test_jit.py line 8320 2022-12-01T10:45:31.8006517Z due to: 2022-12-01T10:45:31.8006604Z Traceback (most recent call last): 2022-12-01T10:45:31.8006750Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8007112Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8007417Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.8007423Z 2022-12-01T10:45:31.8007491Z from user code: 2022-12-01T10:45:31.8007606Z File "test_jit.py", line 8328, in test_parse_nested_names 2022-12-01T10:45:31.8007680Z g = parse_ir(g_str) 2022-12-01T10:45:31.8007685Z 2022-12-01T10:45:31.8007811Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8007870Z ========== 2022-12-01T10:45:31.8007926Z ok (0.004s) 2022-12-01T10:45:31.8008269Z test_parse_none_type_annotation (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parse_none_type_annotation test_jit.py line 11648 2022-12-01T10:45:31.8008386Z due to: 2022-12-01T10:45:31.8008479Z Traceback (most recent call last): 2022-12-01T10:45:31.8008694Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8008939Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8009217Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8009223Z 2022-12-01T10:45:31.8009289Z from user code: 2022-12-01T10:45:31.8009404Z File "test_jit.py", line 11652, in test_parse_none_type_annotation 2022-12-01T10:45:31.8009485Z ''') 2022-12-01T10:45:31.8009491Z 2022-12-01T10:45:31.8009617Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8009711Z ========== 2022-12-01T10:45:31.8009775Z ok (0.003s) 2022-12-01T10:45:31.8010137Z test_parse_tensor_constants (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 8302 2022-12-01T10:45:31.8010199Z due to: 2022-12-01T10:45:31.8010287Z Traceback (most recent call last): 2022-12-01T10:45:31.8010439Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8010555Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8010856Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8010861Z 2022-12-01T10:45:31.8010928Z from user code: 2022-12-01T10:45:31.8011063Z File "test_jit.py", line 8303, in 2022-12-01T10:45:31.8011181Z torch._C._jit_pass_constant_propagation(foo_s.graph) 2022-12-01T10:45:31.8011188Z 2022-12-01T10:45:31.8011315Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8011374Z ========== 2022-12-01T10:45:31.8011426Z ok (0.068s) 2022-12-01T10:45:31.8011741Z test_parser_kwargonly (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parser_kwargonly test_jit.py line 4160 2022-12-01T10:45:31.8011803Z due to: 2022-12-01T10:45:31.8011890Z Traceback (most recent call last): 2022-12-01T10:45:31.8012043Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8012284Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8012563Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8012568Z 2022-12-01T10:45:31.8012638Z from user code: 2022-12-01T10:45:31.8012739Z File "test_jit.py", line 4166, in test_parser_kwargonly 2022-12-01T10:45:31.8012819Z ''') 2022-12-01T10:45:31.8012823Z 2022-12-01T10:45:31.8012950Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8013008Z ========== 2022-12-01T10:45:31.8013075Z ok (0.004s) 2022-12-01T10:45:31.8013414Z test_parser_type_annotations (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parser_type_annotations test_jit.py line 10902 2022-12-01T10:45:31.8013477Z due to: 2022-12-01T10:45:31.8013556Z Traceback (most recent call last): 2022-12-01T10:45:31.8013706Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8013947Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8014223Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8014228Z 2022-12-01T10:45:31.8014292Z from user code: 2022-12-01T10:45:31.8014415Z File "test_jit.py", line 10906, in test_parser_type_annotations 2022-12-01T10:45:31.8014490Z ''') 2022-12-01T10:45:31.8014495Z 2022-12-01T10:45:31.8014621Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8014671Z ========== 2022-12-01T10:45:31.8014773Z ok (0.004s) 2022-12-01T10:45:31.8015138Z test_parser_type_annotations_comment (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parser_type_annotations_comment test_jit.py line 10910 2022-12-01T10:45:31.8015199Z due to: 2022-12-01T10:45:31.8015287Z Traceback (most recent call last): 2022-12-01T10:45:31.8015438Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8015684Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8015959Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8015996Z 2022-12-01T10:45:31.8016060Z from user code: 2022-12-01T10:45:31.8016179Z File "test_jit.py", line 10915, in test_parser_type_annotations_comment 2022-12-01T10:45:31.8016259Z ''') 2022-12-01T10:45:31.8016264Z 2022-12-01T10:45:31.8016391Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8016453Z ========== 2022-12-01T10:45:31.8016513Z ok (0.005s) 2022-12-01T10:45:31.8016670Z test_parser_type_annotations_incompatible_expression (__main__.TestScript) ... ok (0.025s) 2022-12-01T10:45:31.8016819Z test_parser_type_annotations_subscript_non_ident (__main__.TestScript) ... ok (0.025s) 2022-12-01T10:45:31.8016955Z test_parser_type_annotations_subscript_tensor (__main__.TestScript) ... ok (0.025s) 2022-12-01T10:45:31.8017094Z test_parser_type_annotations_unknown_type (__main__.TestScript) ... ok (0.025s) 2022-12-01T10:45:31.8017207Z test_partial_returns (__main__.TestScript) ... ok (0.034s) 2022-12-01T10:45:31.8017306Z test_pass (__main__.TestScript) ... ok (0.039s) 2022-12-01T10:45:31.8017589Z test_pickle_checkpoint (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15782 2022-12-01T10:45:31.8017650Z due to: 2022-12-01T10:45:31.8017738Z Traceback (most recent call last): 2022-12-01T10:45:31.8017886Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8017955Z raise Unsupported(msg) 2022-12-01T10:45:31.8018075Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8018080Z 2022-12-01T10:45:31.8018145Z from user code: 2022-12-01T10:45:31.8018233Z File "test_jit.py", line 15782, in M 2022-12-01T10:45:31.8018331Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8018336Z 2022-12-01T10:45:31.8018465Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8018523Z ========== 2022-12-01T10:45:31.8018722Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15785 2022-12-01T10:45:31.8018785Z due to: 2022-12-01T10:45:31.8018872Z Traceback (most recent call last): 2022-12-01T10:45:31.8019034Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8019155Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8019316Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8019321Z 2022-12-01T10:45:31.8019387Z from user code: 2022-12-01T10:45:31.8019482Z File "test_jit.py", line 15786, in __init__ 2022-12-01T10:45:31.8019551Z super(M, self).__init__() 2022-12-01T10:45:31.8019556Z 2022-12-01T10:45:31.8019680Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8019739Z ========== 2022-12-01T10:45:31.8019938Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15806 2022-12-01T10:45:31.8019997Z due to: 2022-12-01T10:45:31.8020084Z Traceback (most recent call last): 2022-12-01T10:45:31.8020230Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8020301Z raise Unsupported(msg) 2022-12-01T10:45:31.8020421Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8020425Z 2022-12-01T10:45:31.8020490Z from user code: 2022-12-01T10:45:31.8020575Z File "test_jit.py", line 15806, in M 2022-12-01T10:45:31.8020705Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8020710Z 2022-12-01T10:45:31.8020835Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8020894Z ========== 2022-12-01T10:45:31.8021103Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15809 2022-12-01T10:45:31.8021154Z due to: 2022-12-01T10:45:31.8021240Z Traceback (most recent call last): 2022-12-01T10:45:31.8021404Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8021525Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8021713Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8021718Z 2022-12-01T10:45:31.8021783Z from user code: 2022-12-01T10:45:31.8021880Z File "test_jit.py", line 15810, in __init__ 2022-12-01T10:45:31.8021947Z super(M, self).__init__() 2022-12-01T10:45:31.8021961Z 2022-12-01T10:45:31.8022077Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8022135Z ========== 2022-12-01T10:45:31.8022196Z ok (0.113s) 2022-12-01T10:45:31.8022335Z test_pickle_checkpoint_cuda (__main__.TestScript) ... skip: no CUDA (0.000s) 2022-12-01T10:45:31.8022456Z test_pickle_checkpoint_tup (__main__.TestScript) ... ok (0.078s) 2022-12-01T10:45:31.8022616Z test_pow_scalar_backward_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-12-01T10:45:31.8022968Z test_pretty_print_function (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 3043 2022-12-01T10:45:31.8023022Z due to: 2022-12-01T10:45:31.8023110Z Traceback (most recent call last): 2022-12-01T10:45:31.8023260Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8023506Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8023750Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8023755Z 2022-12-01T10:45:31.8023818Z from user code: 2022-12-01T10:45:31.8023951Z File "test_jit.py", line 3047, in 2022-12-01T10:45:31.8024059Z FileCheck().check("interpolate").run(foo.code) 2022-12-01T10:45:31.8024064Z 2022-12-01T10:45:31.8024180Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8024237Z ========== 2022-12-01T10:45:31.8024298Z ok (0.082s) 2022-12-01T10:45:31.8024468Z test_prim_grad_undefined (__main__.TestScript) ... skip: shape analysis is only enabled in Legacy (0.001s) 2022-12-01T10:45:31.8024745Z test_print (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_print test_jit.py line 6765 2022-12-01T10:45:31.8024805Z due to: 2022-12-01T10:45:31.8024894Z Traceback (most recent call last): 2022-12-01T10:45:31.8025050Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:45:31.8025145Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.8025295Z RuntimeError: Only Tensors of floating point and complex dtype can require gradients 2022-12-01T10:45:31.8025300Z 2022-12-01T10:45:31.8025431Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8025436Z 2022-12-01T10:45:31.8025522Z Traceback (most recent call last): 2022-12-01T10:45:31.8025670Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8025761Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8025868Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8025872Z 2022-12-01T10:45:31.8025937Z from user code: 2022-12-01T10:45:31.8026026Z File "test_jit.py", line 6772, in test_print 2022-12-01T10:45:31.8026125Z x = torch.arange(4., requires_grad=True) 2022-12-01T10:45:31.8026163Z 2022-12-01T10:45:31.8026292Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8026350Z ========== 2022-12-01T10:45:31.8026411Z ok (0.074s) 2022-12-01T10:45:31.8026522Z test_print_kwargs (__main__.TestScript) ... ok (0.025s) 2022-12-01T10:45:31.8026687Z test_profiling_graph_executor (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-12-01T10:45:31.8026802Z test_profiling_merge (__main__.TestScript) ... ok (0.078s) 2022-12-01T10:45:31.8027152Z test_pybind_type_comparisons (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 3878 2022-12-01T10:45:31.8027210Z due to: 2022-12-01T10:45:31.8027333Z Traceback (most recent call last): 2022-12-01T10:45:31.8027492Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8027607Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8027909Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8027914Z 2022-12-01T10:45:31.8027980Z from user code: 2022-12-01T10:45:31.8028120Z File "test_jit.py", line 3882, in 2022-12-01T10:45:31.8028198Z node = list(f.graph.nodes())[0] 2022-12-01T10:45:31.8028203Z 2022-12-01T10:45:31.8028327Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8028386Z ========== 2022-12-01T10:45:31.8028446Z ok (0.050s) 2022-12-01T10:45:31.8028745Z test_python_call (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_python_call test_jit.py line 8107 2022-12-01T10:45:31.8028807Z due to: 2022-12-01T10:45:31.8028893Z Traceback (most recent call last): 2022-12-01T10:45:31.8029038Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:45:31.8029141Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:45:31.8029214Z RuntimeError: 2022-12-01T10:45:31.8029291Z undefined value pyfunc: 2022-12-01T10:45:31.8029363Z File "", line 6 2022-12-01T10:45:31.8029367Z 2022-12-01T10:45:31.8029450Z def test_call_python(a): 2022-12-01T10:45:31.8029521Z b = pyfunc(a) 2022-12-01T10:45:31.8029617Z ~~~~~~ <--- HERE 2022-12-01T10:45:31.8029690Z b = other_func(b) 2022-12-01T10:45:31.8029752Z i = 0 2022-12-01T10:45:31.8029757Z 2022-12-01T10:45:31.8029761Z 2022-12-01T10:45:31.8029893Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8029899Z 2022-12-01T10:45:31.8029987Z Traceback (most recent call last): 2022-12-01T10:45:31.8030142Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8030235Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8030338Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8030343Z 2022-12-01T10:45:31.8030411Z from user code: 2022-12-01T10:45:31.8030506Z File "test_jit.py", line 8126, in test_python_call 2022-12-01T10:45:31.8030584Z ''') 2022-12-01T10:45:31.8030588Z 2022-12-01T10:45:31.8030715Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8030774Z ========== 2022-12-01T10:45:31.8030836Z ok (0.054s) 2022-12-01T10:45:31.8030961Z test_python_call_annotation (__main__.TestScript) ... ok (0.093s) 2022-12-01T10:45:31.8031096Z test_python_call_annoytation_failure (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.8031203Z test_python_call_failure (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.8031326Z test_python_call_non_tensor (__main__.TestScript) ... ok (0.658s) 2022-12-01T10:45:31.8031451Z test_python_call_non_tensor_wrong (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.8031561Z test_python_frontend (__main__.TestScript) ... ok (0.078s) 2022-12-01T10:45:31.8031679Z test_python_frontend_py3 (__main__.TestScript) ... ok (0.073s) 2022-12-01T10:45:31.8032085Z test_python_frontend_source_range (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5955 2022-12-01T10:45:31.8032147Z due to: 2022-12-01T10:45:31.8032235Z Traceback (most recent call last): 2022-12-01T10:45:31.8032379Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8032628Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8032870Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8032875Z 2022-12-01T10:45:31.8032970Z from user code: 2022-12-01T10:45:31.8033114Z File "test_jit.py", line 5956, in 2022-12-01T10:45:31.8033212Z FileCheck().check("SourceRange at:") \ 2022-12-01T10:45:31.8033217Z 2022-12-01T10:45:31.8033346Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8033404Z ========== 2022-12-01T10:45:31.8033457Z ok (0.048s) 2022-12-01T10:45:31.8033574Z test_python_op_builtins (__main__.TestScript) ... ok (0.092s) 2022-12-01T10:45:31.8033687Z test_python_op_name (__main__.TestScript) ... ok (0.027s) 2022-12-01T10:45:31.8033810Z test_python_val_doesnt_have_attr (__main__.TestScript) ... ok (0.028s) 2022-12-01T10:45:31.8033954Z test_rand (__main__.TestScript) ... skip: the original version of test_rand (0.001s) 2022-12-01T10:45:31.8034068Z test_rand_profiling (__main__.TestScript) ... ok (0.071s) 2022-12-01T10:45:31.8034177Z test_range_args (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.8034495Z test_reassign_module_lhs (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ReassignSelfLHS test_jit.py line 11456 2022-12-01T10:45:31.8034547Z due to: 2022-12-01T10:45:31.8034634Z Traceback (most recent call last): 2022-12-01T10:45:31.8034780Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8034863Z raise Unsupported(msg) 2022-12-01T10:45:31.8034982Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8034987Z 2022-12-01T10:45:31.8035053Z from user code: 2022-12-01T10:45:31.8035162Z File "test_jit.py", line 11456, in ReassignSelfLHS 2022-12-01T10:45:31.8035272Z class ReassignSelfLHS(torch.jit.ScriptModule): 2022-12-01T10:45:31.8035276Z 2022-12-01T10:45:31.8035402Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8035459Z ========== 2022-12-01T10:45:31.8035522Z ok (0.029s) 2022-12-01T10:45:31.8035829Z test_reassign_module_rhs (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ReassignSelfRHS test_jit.py line 11467 2022-12-01T10:45:31.8035891Z due to: 2022-12-01T10:45:31.8035978Z Traceback (most recent call last): 2022-12-01T10:45:31.8036124Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8036195Z raise Unsupported(msg) 2022-12-01T10:45:31.8036312Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8036317Z 2022-12-01T10:45:31.8036382Z from user code: 2022-12-01T10:45:31.8036487Z File "test_jit.py", line 11467, in ReassignSelfRHS 2022-12-01T10:45:31.8036604Z class ReassignSelfRHS(torch.jit.ScriptModule): 2022-12-01T10:45:31.8036610Z 2022-12-01T10:45:31.8036736Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8036796Z ========== 2022-12-01T10:45:31.8036848Z ok (0.028s) 2022-12-01T10:45:31.8037170Z test_refine_tuple_types (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_refine_tuple_types test_jit.py line 11271 2022-12-01T10:45:31.8037230Z due to: 2022-12-01T10:45:31.8037315Z Traceback (most recent call last): 2022-12-01T10:45:31.8037467Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8037711Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8038074Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.8038080Z 2022-12-01T10:45:31.8038146Z from user code: 2022-12-01T10:45:31.8038252Z File "test_jit.py", line 11278, in test_refine_tuple_types 2022-12-01T10:45:31.8038332Z graph = parse_ir(graph_str) 2022-12-01T10:45:31.8038337Z 2022-12-01T10:45:31.8038462Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8038521Z ========== 2022-12-01T10:45:31.8038584Z ok (0.003s) 2022-12-01T10:45:31.8038729Z test_remove_dropout (__main__.TestScript) ... ok (0.036s) 2022-12-01T10:45:31.8038863Z test_repeated_script_on_function (__main__.TestScript) ... ok (0.090s) 2022-12-01T10:45:31.8038978Z test_request_bailout (__main__.TestScript) ... ok (0.048s) 2022-12-01T10:45:31.8039116Z test_requires_grad_loop (__main__.TestScript) ... skip: Peeling is now disabled (0.001s) 2022-12-01T10:45:31.8039428Z test_rescripting_loaded_modules (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_jit.py line 16090 2022-12-01T10:45:31.8039490Z due to: 2022-12-01T10:45:31.8039577Z Traceback (most recent call last): 2022-12-01T10:45:31.8039801Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.8039983Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.8040177Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.8040182Z 2022-12-01T10:45:31.8040247Z from user code: 2022-12-01T10:45:31.8040335Z File "test_jit.py", line 16092, in forward 2022-12-01T10:45:31.8040514Z ret = self.inner.submod(x) + self.inner.submod.foo + self.inner.submod.bar + self.inner.submod.baz 2022-12-01T10:45:31.8040519Z 2022-12-01T10:45:31.8040645Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8040706Z ========== 2022-12-01T10:45:31.8040772Z ok (0.076s) 2022-12-01T10:45:31.8041102Z test_resize_input_ops (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5602 2022-12-01T10:45:31.8041164Z due to: 2022-12-01T10:45:31.8041242Z Traceback (most recent call last): 2022-12-01T10:45:31.8041402Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8041519Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8041818Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8041823Z 2022-12-01T10:45:31.8041889Z from user code: 2022-12-01T10:45:31.8042018Z File "test_jit.py", line 5607, in 2022-12-01T10:45:31.8042117Z graph = _propagate_shapes(test.graph, 2022-12-01T10:45:31.8042122Z 2022-12-01T10:45:31.8042249Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8042308Z ========== 2022-12-01T10:45:31.8042541Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5613 2022-12-01T10:45:31.8042601Z due to: 2022-12-01T10:45:31.8042685Z Traceback (most recent call last): 2022-12-01T10:45:31.8042844Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8042959Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8043255Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8043262Z 2022-12-01T10:45:31.8043328Z from user code: 2022-12-01T10:45:31.8043436Z File "test_jit.py", line 5626, in 2022-12-01T10:45:31.8043596Z self.run_pass('constant_propagation', test.graph) 2022-12-01T10:45:31.8043601Z 2022-12-01T10:45:31.8043774Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8043831Z ========== 2022-12-01T10:45:31.8044080Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5643 2022-12-01T10:45:31.8044141Z due to: 2022-12-01T10:45:31.8044228Z Traceback (most recent call last): 2022-12-01T10:45:31.8044386Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8044489Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8044781Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8044816Z 2022-12-01T10:45:31.8044884Z from user code: 2022-12-01T10:45:31.8045000Z File "test_jit.py", line 5649, in 2022-12-01T10:45:31.8045072Z g = test.graph 2022-12-01T10:45:31.8045077Z 2022-12-01T10:45:31.8045203Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8045266Z ========== 2022-12-01T10:45:31.8045329Z ok (0.195s) 2022-12-01T10:45:31.8045422Z test_return (__main__.TestScript) ... ok (0.226s) 2022-12-01T10:45:31.8045540Z test_return_stmt_not_at_end (__main__.TestScript) ... ok (0.085s) 2022-12-01T10:45:31.8045647Z test_return_tuple (__main__.TestScript) ... ok (0.055s) 2022-12-01T10:45:31.8045945Z test_rnn_trace_override (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_jit.py line 10013 2022-12-01T10:45:31.8046005Z due to: 2022-12-01T10:45:31.8046093Z Traceback (most recent call last): 2022-12-01T10:45:31.8046308Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.8046393Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.8046616Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.8046621Z 2022-12-01T10:45:31.8046751Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8046759Z 2022-12-01T10:45:31.8046844Z Traceback (most recent call last): 2022-12-01T10:45:31.8047109Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8047204Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8047312Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8047317Z 2022-12-01T10:45:31.8047385Z from user code: 2022-12-01T10:45:31.8047480Z File "test_jit.py", line 10014, in forward 2022-12-01T10:45:31.8047564Z x = pack_padded_sequence(x, seq_lens) 2022-12-01T10:45:31.8047568Z 2022-12-01T10:45:31.8047693Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8047753Z ========== 2022-12-01T10:45:31.8047815Z ok (0.286s) 2022-12-01T10:45:31.8047942Z test_robust_op_resolution (__main__.TestScript) ... ok (0.084s) 2022-12-01T10:45:31.8048043Z test_round (__main__.TestScript) ... ok (0.044s) 2022-12-01T10:45:31.8048158Z test_save_load_attr_error (__main__.TestScript) ... ok (0.045s) 2022-12-01T10:45:31.8048268Z test_script_annotation (__main__.TestScript) ... ok (0.083s) 2022-12-01T10:45:31.8048476Z test_script_bool_constant (__main__.TestScript) ... ok (0.039s) 2022-12-01T10:45:31.8048589Z test_script_chunk (__main__.TestScript) ... ok (0.082s) 2022-12-01T10:45:31.8048704Z test_script_clamp_none (__main__.TestScript) ... ok (0.219s) 2022-12-01T10:45:31.8048981Z test_script_copy (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9943 2022-12-01T10:45:31.8049044Z due to: 2022-12-01T10:45:31.8049131Z Traceback (most recent call last): 2022-12-01T10:45:31.8049280Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8049351Z raise Unsupported(msg) 2022-12-01T10:45:31.8049470Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8049475Z 2022-12-01T10:45:31.8049539Z from user code: 2022-12-01T10:45:31.8049624Z File "test_jit.py", line 9943, in M 2022-12-01T10:45:31.8049768Z class M(torch.nn.Module): 2022-12-01T10:45:31.8049773Z 2022-12-01T10:45:31.8049902Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8049962Z ========== 2022-12-01T10:45:31.8050014Z ok (0.030s) 2022-12-01T10:45:31.8050307Z test_script_cu (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_script_cu test_jit.py line 4792 2022-12-01T10:45:31.8050366Z due to: 2022-12-01T10:45:31.8050453Z Traceback (most recent call last): 2022-12-01T10:45:31.8050606Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8050890Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8051173Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8051178Z 2022-12-01T10:45:31.8051247Z from user code: 2022-12-01T10:45:31.8051342Z File "test_jit.py", line 4797, in test_script_cu 2022-12-01T10:45:31.8051421Z ''') 2022-12-01T10:45:31.8051425Z 2022-12-01T10:45:31.8051551Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8051612Z ========== 2022-12-01T10:45:31.8051673Z ok (0.003s) 2022-12-01T10:45:31.8051958Z test_script_define_order (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 10452 2022-12-01T10:45:31.8052020Z due to: 2022-12-01T10:45:31.8052099Z Traceback (most recent call last): 2022-12-01T10:45:31.8052242Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8052325Z raise Unsupported(msg) 2022-12-01T10:45:31.8052444Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8052448Z 2022-12-01T10:45:31.8052512Z from user code: 2022-12-01T10:45:31.8052601Z File "test_jit.py", line 10452, in M 2022-12-01T10:45:31.8052700Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8052707Z 2022-12-01T10:45:31.8052833Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8052883Z ========== 2022-12-01T10:45:31.8052943Z ok (0.019s) 2022-12-01T10:45:31.8053251Z test_script_define_order_recursive_fail (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 10465 2022-12-01T10:45:31.8053310Z due to: 2022-12-01T10:45:31.8053396Z Traceback (most recent call last): 2022-12-01T10:45:31.8053542Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8053622Z raise Unsupported(msg) 2022-12-01T10:45:31.8053732Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8053738Z 2022-12-01T10:45:31.8053806Z from user code: 2022-12-01T10:45:31.8053892Z File "test_jit.py", line 10465, in M 2022-12-01T10:45:31.8053987Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8053992Z 2022-12-01T10:45:31.8054118Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8054183Z ========== 2022-12-01T10:45:31.8054245Z ok (0.016s) 2022-12-01T10:45:31.8054353Z test_script_docstring (__main__.TestScript) ... ok (0.065s) 2022-12-01T10:45:31.8054682Z test_script_forward_method_replacement (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT LowLevelModule test_jit.py line 9967 2022-12-01T10:45:31.8054744Z due to: 2022-12-01T10:45:31.8054831Z Traceback (most recent call last): 2022-12-01T10:45:31.8054978Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8055057Z raise Unsupported(msg) 2022-12-01T10:45:31.8055176Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8055183Z 2022-12-01T10:45:31.8055250Z from user code: 2022-12-01T10:45:31.8055345Z File "test_jit.py", line 9967, in LowLevelModule 2022-12-01T10:45:31.8055447Z class LowLevelModule(torch.nn.Module): 2022-12-01T10:45:31.8055452Z 2022-12-01T10:45:31.8055577Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8055669Z ========== 2022-12-01T10:45:31.8055886Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule test_jit.py line 9975 2022-12-01T10:45:31.8055945Z due to: 2022-12-01T10:45:31.8056032Z Traceback (most recent call last): 2022-12-01T10:45:31.8056179Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8056247Z raise Unsupported(msg) 2022-12-01T10:45:31.8056363Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8056369Z 2022-12-01T10:45:31.8056434Z from user code: 2022-12-01T10:45:31.8056530Z File "test_jit.py", line 9975, in TestModule 2022-12-01T10:45:31.8056654Z class TestModule(LowLevelModule): 2022-12-01T10:45:31.8056659Z 2022-12-01T10:45:31.8056787Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8056847Z ========== 2022-12-01T10:45:31.8056899Z ok (0.058s) 2022-12-01T10:45:31.8057044Z test_script_get_device_cuda (__main__.TestScript) ... skip: requires CUDA (0.000s) 2022-12-01T10:45:31.8057170Z test_script_get_tracing_state (__main__.TestScript) ... ok (0.084s) 2022-12-01T10:45:31.8057283Z test_script_is_tracing (__main__.TestScript) ... ok (0.085s) 2022-12-01T10:45:31.8057570Z test_script_kwargs_fn_call (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 10479 2022-12-01T10:45:31.8057631Z due to: 2022-12-01T10:45:31.8057721Z Traceback (most recent call last): 2022-12-01T10:45:31.8057869Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8057937Z raise Unsupported(msg) 2022-12-01T10:45:31.8058058Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8058063Z 2022-12-01T10:45:31.8058127Z from user code: 2022-12-01T10:45:31.8058213Z File "test_jit.py", line 10479, in M 2022-12-01T10:45:31.8058310Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8058315Z 2022-12-01T10:45:31.8058438Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8058498Z ========== 2022-12-01T10:45:31.8058550Z ok (0.018s) 2022-12-01T10:45:31.8058844Z test_script_method_docstring (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A test_jit.py line 8215 2022-12-01T10:45:31.8058903Z due to: 2022-12-01T10:45:31.8058989Z Traceback (most recent call last): 2022-12-01T10:45:31.8059132Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8059211Z raise Unsupported(msg) 2022-12-01T10:45:31.8059329Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8059334Z 2022-12-01T10:45:31.8059401Z from user code: 2022-12-01T10:45:31.8059480Z File "test_jit.py", line 8215, in A 2022-12-01T10:45:31.8059574Z class A(torch.jit.ScriptModule): 2022-12-01T10:45:31.8059579Z 2022-12-01T10:45:31.8059702Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8059759Z ========== 2022-12-01T10:45:31.8059822Z ok (0.017s) 2022-12-01T10:45:31.8059964Z test_script_method_torch_function_overload (__main__.TestScript) ... ok (0.018s) 2022-12-01T10:45:31.8060247Z test_script_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M1 test_jit.py line 8226 2022-12-01T10:45:31.8060298Z due to: 2022-12-01T10:45:31.8060384Z Traceback (most recent call last): 2022-12-01T10:45:31.8060527Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8060605Z raise Unsupported(msg) 2022-12-01T10:45:31.8060721Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8060726Z 2022-12-01T10:45:31.8060789Z from user code: 2022-12-01T10:45:31.8060880Z File "test_jit.py", line 8226, in M1 2022-12-01T10:45:31.8060969Z class M1(torch.jit.ScriptModule): 2022-12-01T10:45:31.8060985Z 2022-12-01T10:45:31.8061100Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8061158Z ========== 2022-12-01T10:45:31.8061395Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M2 test_jit.py line 8243 2022-12-01T10:45:31.8061456Z due to: 2022-12-01T10:45:31.8061540Z Traceback (most recent call last): 2022-12-01T10:45:31.8061683Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8061761Z raise Unsupported(msg) 2022-12-01T10:45:31.8061870Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8061875Z 2022-12-01T10:45:31.8061942Z from user code: 2022-12-01T10:45:31.8062026Z File "test_jit.py", line 8243, in M2 2022-12-01T10:45:31.8062122Z class M2(torch.jit.ScriptModule): 2022-12-01T10:45:31.8062127Z 2022-12-01T10:45:31.8062283Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8062344Z ========== 2022-12-01T10:45:31.8062555Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8244 2022-12-01T10:45:31.8062606Z due to: 2022-12-01T10:45:31.8062693Z Traceback (most recent call last): 2022-12-01T10:45:31.8062859Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8062982Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8063141Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8063146Z 2022-12-01T10:45:31.8063210Z from user code: 2022-12-01T10:45:31.8063304Z File "test_jit.py", line 8245, in __init__ 2022-12-01T10:45:31.8063381Z super(M2, self).__init__() 2022-12-01T10:45:31.8063386Z 2022-12-01T10:45:31.8063501Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8063559Z ========== 2022-12-01T10:45:31.8063768Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8227 2022-12-01T10:45:31.8063828Z due to: 2022-12-01T10:45:31.8063913Z Traceback (most recent call last): 2022-12-01T10:45:31.8064075Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8064198Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8064347Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8064359Z 2022-12-01T10:45:31.8064416Z from user code: 2022-12-01T10:45:31.8064509Z File "test_jit.py", line 8228, in __init__ 2022-12-01T10:45:31.8064586Z super(M1, self).__init__() 2022-12-01T10:45:31.8064591Z 2022-12-01T10:45:31.8064715Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8064773Z ========== 2022-12-01T10:45:31.8064835Z ok (0.053s) 2022-12-01T10:45:31.8065133Z test_script_module_call_noscript (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 8795 2022-12-01T10:45:31.8065184Z due to: 2022-12-01T10:45:31.8065273Z Traceback (most recent call last): 2022-12-01T10:45:31.8065417Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8065498Z raise Unsupported(msg) 2022-12-01T10:45:31.8065620Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8065625Z 2022-12-01T10:45:31.8065691Z from user code: 2022-12-01T10:45:31.8065775Z File "test_jit.py", line 8795, in M 2022-12-01T10:45:31.8065863Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8065875Z 2022-12-01T10:45:31.8065989Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8066048Z ========== 2022-12-01T10:45:31.8066255Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8796 2022-12-01T10:45:31.8066315Z due to: 2022-12-01T10:45:31.8066399Z Traceback (most recent call last): 2022-12-01T10:45:31.8066562Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8066687Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8066834Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8066839Z 2022-12-01T10:45:31.8066940Z from user code: 2022-12-01T10:45:31.8067034Z File "test_jit.py", line 8797, in __init__ 2022-12-01T10:45:31.8067111Z super(M, self).__init__() 2022-12-01T10:45:31.8067116Z 2022-12-01T10:45:31.8067241Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8067300Z ========== 2022-12-01T10:45:31.8067359Z ok (0.049s) 2022-12-01T10:45:31.8067638Z test_script_module_const (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 8887 2022-12-01T10:45:31.8067690Z due to: 2022-12-01T10:45:31.8067778Z Traceback (most recent call last): 2022-12-01T10:45:31.8067923Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8068033Z raise Unsupported(msg) 2022-12-01T10:45:31.8068151Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8068156Z 2022-12-01T10:45:31.8068221Z from user code: 2022-12-01T10:45:31.8068306Z File "test_jit.py", line 8887, in M 2022-12-01T10:45:31.8068395Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8068399Z 2022-12-01T10:45:31.8068523Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8068581Z ========== 2022-12-01T10:45:31.8068791Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8891 2022-12-01T10:45:31.8068851Z due to: 2022-12-01T10:45:31.8068937Z Traceback (most recent call last): 2022-12-01T10:45:31.8069098Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8069210Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8069367Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8069373Z 2022-12-01T10:45:31.8069438Z from user code: 2022-12-01T10:45:31.8069533Z File "test_jit.py", line 8892, in __init__ 2022-12-01T10:45:31.8069610Z super(M, self).__init__() 2022-12-01T10:45:31.8069615Z 2022-12-01T10:45:31.8069741Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8069802Z ========== 2022-12-01T10:45:31.8069860Z ok (0.021s) 2022-12-01T10:45:31.8070164Z test_script_module_const_submodule_fail (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Sub test_jit.py line 9092 2022-12-01T10:45:31.8070222Z due to: 2022-12-01T10:45:31.8070310Z Traceback (most recent call last): 2022-12-01T10:45:31.8070456Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8070538Z raise Unsupported(msg) 2022-12-01T10:45:31.8070656Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8070662Z 2022-12-01T10:45:31.8070727Z from user code: 2022-12-01T10:45:31.8070808Z File "test_jit.py", line 9092, in Sub 2022-12-01T10:45:31.8070903Z class Sub(torch.jit.ScriptModule): 2022-12-01T10:45:31.8070908Z 2022-12-01T10:45:31.8071031Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8071091Z ========== 2022-12-01T10:45:31.8071291Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9101 2022-12-01T10:45:31.8071351Z due to: 2022-12-01T10:45:31.8071440Z Traceback (most recent call last): 2022-12-01T10:45:31.8071584Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8071653Z raise Unsupported(msg) 2022-12-01T10:45:31.8071770Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8071775Z 2022-12-01T10:45:31.8071839Z from user code: 2022-12-01T10:45:31.8071925Z File "test_jit.py", line 9101, in M 2022-12-01T10:45:31.8072018Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8072023Z 2022-12-01T10:45:31.8072151Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8072209Z ========== 2022-12-01T10:45:31.8072408Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9102 2022-12-01T10:45:31.8072468Z due to: 2022-12-01T10:45:31.8072551Z Traceback (most recent call last): 2022-12-01T10:45:31.8072747Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8072868Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8073026Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8073031Z 2022-12-01T10:45:31.8073097Z from user code: 2022-12-01T10:45:31.8073190Z File "test_jit.py", line 9103, in __init__ 2022-12-01T10:45:31.8073289Z super(M, self).__init__() 2022-12-01T10:45:31.8073296Z 2022-12-01T10:45:31.8073474Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8073536Z ========== 2022-12-01T10:45:31.8073784Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9093 2022-12-01T10:45:31.8073847Z due to: 2022-12-01T10:45:31.8073934Z Traceback (most recent call last): 2022-12-01T10:45:31.8074095Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8074209Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8074366Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8074371Z 2022-12-01T10:45:31.8074438Z from user code: 2022-12-01T10:45:31.8074530Z File "test_jit.py", line 9094, in __init__ 2022-12-01T10:45:31.8074610Z super(Sub, self).__init__() 2022-12-01T10:45:31.8074615Z 2022-12-01T10:45:31.8074741Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8074799Z ========== 2022-12-01T10:45:31.8074861Z ok (0.042s) 2022-12-01T10:45:31.8075153Z test_script_module_export_blocks (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 10650 2022-12-01T10:45:31.8075213Z due to: 2022-12-01T10:45:31.8075300Z Traceback (most recent call last): 2022-12-01T10:45:31.8075448Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8075528Z raise Unsupported(msg) 2022-12-01T10:45:31.8075651Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8075655Z 2022-12-01T10:45:31.8075719Z from user code: 2022-12-01T10:45:31.8075798Z File "test_jit.py", line 10650, in M 2022-12-01T10:45:31.8075893Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8075897Z 2022-12-01T10:45:31.8076021Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8076080Z ========== 2022-12-01T10:45:31.8076290Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 10651 2022-12-01T10:45:31.8076352Z due to: 2022-12-01T10:45:31.8076438Z Traceback (most recent call last): 2022-12-01T10:45:31.8076601Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8076713Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8076870Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8076878Z 2022-12-01T10:45:31.8076948Z from user code: 2022-12-01T10:45:31.8077044Z File "test_jit.py", line 10652, in __init__ 2022-12-01T10:45:31.8077122Z super(M, self).__init__() 2022-12-01T10:45:31.8077128Z 2022-12-01T10:45:31.8077255Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8077313Z ========== 2022-12-01T10:45:31.8077373Z ok (0.026s) 2022-12-01T10:45:31.8077678Z test_script_module_export_shared_storage (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 10670 2022-12-01T10:45:31.8077737Z due to: 2022-12-01T10:45:31.8077830Z Traceback (most recent call last): 2022-12-01T10:45:31.8077982Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8078061Z raise Unsupported(msg) 2022-12-01T10:45:31.8078180Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8078185Z 2022-12-01T10:45:31.8078249Z from user code: 2022-12-01T10:45:31.8078327Z File "test_jit.py", line 10670, in M 2022-12-01T10:45:31.8078454Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8078459Z 2022-12-01T10:45:31.8078581Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8078639Z ========== 2022-12-01T10:45:31.8078849Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 10672 2022-12-01T10:45:31.8078910Z due to: 2022-12-01T10:45:31.8078994Z Traceback (most recent call last): 2022-12-01T10:45:31.8079148Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8079268Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8079452Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8079458Z 2022-12-01T10:45:31.8079523Z from user code: 2022-12-01T10:45:31.8079619Z File "test_jit.py", line 10673, in __init__ 2022-12-01T10:45:31.8079695Z super(M, self).__init__() 2022-12-01T10:45:31.8079700Z 2022-12-01T10:45:31.8079828Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8079889Z ========== 2022-12-01T10:45:31.8079940Z ok (0.025s) 2022-12-01T10:45:31.8080246Z test_script_module_export_submodule (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M1 test_jit.py line 10527 2022-12-01T10:45:31.8080305Z due to: 2022-12-01T10:45:31.8080392Z Traceback (most recent call last): 2022-12-01T10:45:31.8080540Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8080618Z raise Unsupported(msg) 2022-12-01T10:45:31.8080740Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8080745Z 2022-12-01T10:45:31.8080813Z from user code: 2022-12-01T10:45:31.8080892Z File "test_jit.py", line 10527, in M1 2022-12-01T10:45:31.8080987Z class M1(torch.jit.ScriptModule): 2022-12-01T10:45:31.8080992Z 2022-12-01T10:45:31.8081115Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8081176Z ========== 2022-12-01T10:45:31.8081377Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M2 test_jit.py line 10536 2022-12-01T10:45:31.8081436Z due to: 2022-12-01T10:45:31.8081526Z Traceback (most recent call last): 2022-12-01T10:45:31.8081661Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8081737Z raise Unsupported(msg) 2022-12-01T10:45:31.8081855Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8081860Z 2022-12-01T10:45:31.8081924Z from user code: 2022-12-01T10:45:31.8082008Z File "test_jit.py", line 10536, in M2 2022-12-01T10:45:31.8082104Z class M2(torch.jit.ScriptModule): 2022-12-01T10:45:31.8082109Z 2022-12-01T10:45:31.8082237Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8082316Z ========== 2022-12-01T10:45:31.8082517Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 10537 2022-12-01T10:45:31.8082577Z due to: 2022-12-01T10:45:31.8082664Z Traceback (most recent call last): 2022-12-01T10:45:31.8082824Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8082946Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8083105Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8083110Z 2022-12-01T10:45:31.8083176Z from user code: 2022-12-01T10:45:31.8083262Z File "test_jit.py", line 10538, in __init__ 2022-12-01T10:45:31.8083340Z super(M2, self).__init__() 2022-12-01T10:45:31.8083345Z 2022-12-01T10:45:31.8083467Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8083523Z ========== 2022-12-01T10:45:31.8083731Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 10528 2022-12-01T10:45:31.8083789Z due to: 2022-12-01T10:45:31.8083876Z Traceback (most recent call last): 2022-12-01T10:45:31.8084025Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8084193Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8084350Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8084355Z 2022-12-01T10:45:31.8084419Z from user code: 2022-12-01T10:45:31.8084511Z File "test_jit.py", line 10529, in __init__ 2022-12-01T10:45:31.8084586Z super(M1, self).__init__() 2022-12-01T10:45:31.8084591Z 2022-12-01T10:45:31.8084713Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8084771Z ========== 2022-12-01T10:45:31.8084824Z ok (0.041s) 2022-12-01T10:45:31.8085031Z test_script_module_export_tensor_cuda (__main__.TestScript) ... skip: testing cuda tensors require CUDA (0.001s) 2022-12-01T10:45:31.8085336Z test_script_module_export_tensor_type (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 10611 2022-12-01T10:45:31.8085395Z due to: 2022-12-01T10:45:31.8085483Z Traceback (most recent call last): 2022-12-01T10:45:31.8085628Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8085709Z raise Unsupported(msg) 2022-12-01T10:45:31.8085833Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8085838Z 2022-12-01T10:45:31.8085895Z from user code: 2022-12-01T10:45:31.8085984Z File "test_jit.py", line 10611, in M 2022-12-01T10:45:31.8086079Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8086084Z 2022-12-01T10:45:31.8086207Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8086263Z ========== 2022-12-01T10:45:31.8086477Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 10612 2022-12-01T10:45:31.8086537Z due to: 2022-12-01T10:45:31.8086613Z Traceback (most recent call last): 2022-12-01T10:45:31.8086777Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8086898Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8087184Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8087190Z 2022-12-01T10:45:31.8087255Z from user code: 2022-12-01T10:45:31.8087347Z File "test_jit.py", line 10613, in __init__ 2022-12-01T10:45:31.8087424Z super(M, self).__init__() 2022-12-01T10:45:31.8087429Z 2022-12-01T10:45:31.8087556Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8087605Z ========== 2022-12-01T10:45:31.8087672Z ok (0.026s) 2022-12-01T10:45:31.8087963Z test_script_module_fail_exist (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 8910 2022-12-01T10:45:31.8088025Z due to: 2022-12-01T10:45:31.8088111Z Traceback (most recent call last): 2022-12-01T10:45:31.8088258Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8088420Z raise Unsupported(msg) 2022-12-01T10:45:31.8088536Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8088553Z 2022-12-01T10:45:31.8088610Z from user code: 2022-12-01T10:45:31.8088697Z File "test_jit.py", line 8910, in M 2022-12-01T10:45:31.8088792Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8088796Z 2022-12-01T10:45:31.8088923Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8088981Z ========== 2022-12-01T10:45:31.8089196Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8911 2022-12-01T10:45:31.8089259Z due to: 2022-12-01T10:45:31.8089337Z Traceback (most recent call last): 2022-12-01T10:45:31.8089501Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8089624Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8089782Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8089787Z 2022-12-01T10:45:31.8089850Z from user code: 2022-12-01T10:45:31.8090007Z File "test_jit.py", line 8912, in __init__ 2022-12-01T10:45:31.8090086Z super(M, self).__init__() 2022-12-01T10:45:31.8090091Z 2022-12-01T10:45:31.8090219Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8090269Z ========== 2022-12-01T10:45:31.8090330Z ok (0.018s) 2022-12-01T10:45:31.8090612Z test_script_module_for (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9001 2022-12-01T10:45:31.8090672Z due to: 2022-12-01T10:45:31.8090756Z Traceback (most recent call last): 2022-12-01T10:45:31.8090898Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8091012Z raise Unsupported(msg) 2022-12-01T10:45:31.8091123Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8091128Z 2022-12-01T10:45:31.8091194Z from user code: 2022-12-01T10:45:31.8091281Z File "test_jit.py", line 9001, in M 2022-12-01T10:45:31.8091376Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8091382Z 2022-12-01T10:45:31.8091507Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8091566Z ========== 2022-12-01T10:45:31.8091773Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9004 2022-12-01T10:45:31.8091824Z due to: 2022-12-01T10:45:31.8091909Z Traceback (most recent call last): 2022-12-01T10:45:31.8092072Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8092190Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8092346Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8092353Z 2022-12-01T10:45:31.8092422Z from user code: 2022-12-01T10:45:31.8092516Z File "test_jit.py", line 9005, in __init__ 2022-12-01T10:45:31.8092593Z super(M, self).__init__() 2022-12-01T10:45:31.8092598Z 2022-12-01T10:45:31.8092713Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8092772Z ========== 2022-12-01T10:45:31.8092834Z ok (0.020s) 2022-12-01T10:45:31.8093119Z test_script_module_for2 (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Sub test_jit.py line 9044 2022-12-01T10:45:31.8093180Z due to: 2022-12-01T10:45:31.8093264Z Traceback (most recent call last): 2022-12-01T10:45:31.8093409Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8093478Z raise Unsupported(msg) 2022-12-01T10:45:31.8093594Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8093599Z 2022-12-01T10:45:31.8093662Z from user code: 2022-12-01T10:45:31.8093753Z File "test_jit.py", line 9044, in Sub 2022-12-01T10:45:31.8093850Z class Sub(torch.jit.ScriptModule): 2022-12-01T10:45:31.8093854Z 2022-12-01T10:45:31.8093978Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8094038Z ========== 2022-12-01T10:45:31.8094236Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9053 2022-12-01T10:45:31.8094289Z due to: 2022-12-01T10:45:31.8094378Z Traceback (most recent call last): 2022-12-01T10:45:31.8094523Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8094602Z raise Unsupported(msg) 2022-12-01T10:45:31.8094719Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8094724Z 2022-12-01T10:45:31.8094788Z from user code: 2022-12-01T10:45:31.8094874Z File "test_jit.py", line 9053, in M 2022-12-01T10:45:31.8094960Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8094974Z 2022-12-01T10:45:31.8095091Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8095153Z ========== 2022-12-01T10:45:31.8095363Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9054 2022-12-01T10:45:31.8095423Z due to: 2022-12-01T10:45:31.8095508Z Traceback (most recent call last): 2022-12-01T10:45:31.8095668Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8095819Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8095967Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8095972Z 2022-12-01T10:45:31.8096036Z from user code: 2022-12-01T10:45:31.8096131Z File "test_jit.py", line 9055, in __init__ 2022-12-01T10:45:31.8096209Z super(M, self).__init__() 2022-12-01T10:45:31.8096214Z 2022-12-01T10:45:31.8096337Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8096395Z ========== 2022-12-01T10:45:31.8096632Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9045 2022-12-01T10:45:31.8096683Z due to: 2022-12-01T10:45:31.8096770Z Traceback (most recent call last): 2022-12-01T10:45:31.8096932Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8097053Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8097213Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8097218Z 2022-12-01T10:45:31.8097283Z from user code: 2022-12-01T10:45:31.8097377Z File "test_jit.py", line 9046, in __init__ 2022-12-01T10:45:31.8097453Z super(Sub, self).__init__() 2022-12-01T10:45:31.8097458Z 2022-12-01T10:45:31.8097573Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8097629Z ========== 2022-12-01T10:45:31.8097691Z ok (0.637s) 2022-12-01T10:45:31.8097998Z test_script_module_invalid_consts (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8941 2022-12-01T10:45:31.8098062Z due to: 2022-12-01T10:45:31.8098149Z Traceback (most recent call last): 2022-12-01T10:45:31.8098311Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8098429Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8098580Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8098585Z 2022-12-01T10:45:31.8098650Z from user code: 2022-12-01T10:45:31.8098745Z File "test_jit.py", line 8942, in __init__ 2022-12-01T10:45:31.8098823Z super(Foo, self).__init__() 2022-12-01T10:45:31.8098828Z 2022-12-01T10:45:31.8098955Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8099015Z ========== 2022-12-01T10:45:31.8099220Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8953 2022-12-01T10:45:31.8099271Z due to: 2022-12-01T10:45:31.8099355Z Traceback (most recent call last): 2022-12-01T10:45:31.8099519Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8099639Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8099796Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8099803Z 2022-12-01T10:45:31.8099871Z from user code: 2022-12-01T10:45:31.8099963Z File "test_jit.py", line 8954, in __init__ 2022-12-01T10:45:31.8100043Z super(Foo2, self).__init__() 2022-12-01T10:45:31.8100048Z 2022-12-01T10:45:31.8100162Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8100221Z ========== 2022-12-01T10:45:31.8100426Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8963 2022-12-01T10:45:31.8100487Z due to: 2022-12-01T10:45:31.8100572Z Traceback (most recent call last): 2022-12-01T10:45:31.8100734Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8100854Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8101002Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8101015Z 2022-12-01T10:45:31.8101071Z from user code: 2022-12-01T10:45:31.8101199Z File "test_jit.py", line 8964, in __init__ 2022-12-01T10:45:31.8101279Z super(Foo3, self).__init__() 2022-12-01T10:45:31.8101283Z 2022-12-01T10:45:31.8101408Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8101466Z ========== 2022-12-01T10:45:31.8101675Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8973 2022-12-01T10:45:31.8101734Z due to: 2022-12-01T10:45:31.8101811Z Traceback (most recent call last): 2022-12-01T10:45:31.8101971Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8102089Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8102271Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8102276Z 2022-12-01T10:45:31.8102343Z from user code: 2022-12-01T10:45:31.8102437Z File "test_jit.py", line 8974, in __init__ 2022-12-01T10:45:31.8102517Z super(Foo4, self).__init__() 2022-12-01T10:45:31.8102523Z 2022-12-01T10:45:31.8102648Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8102696Z ========== 2022-12-01T10:45:31.8102756Z ok (0.030s) 2022-12-01T10:45:31.8103063Z test_script_module_nochange_submodule (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 8820 2022-12-01T10:45:31.8103122Z due to: 2022-12-01T10:45:31.8103210Z Traceback (most recent call last): 2022-12-01T10:45:31.8103356Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8103438Z raise Unsupported(msg) 2022-12-01T10:45:31.8103548Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8103552Z 2022-12-01T10:45:31.8103619Z from user code: 2022-12-01T10:45:31.8103702Z File "test_jit.py", line 8820, in M 2022-12-01T10:45:31.8103797Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8103802Z 2022-12-01T10:45:31.8103927Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8103988Z ========== 2022-12-01T10:45:31.8104195Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8821 2022-12-01T10:45:31.8104253Z due to: 2022-12-01T10:45:31.8104331Z Traceback (most recent call last): 2022-12-01T10:45:31.8104492Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8104612Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8104765Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8104770Z 2022-12-01T10:45:31.8104837Z from user code: 2022-12-01T10:45:31.8104931Z File "test_jit.py", line 8822, in __init__ 2022-12-01T10:45:31.8105009Z super(M, self).__init__() 2022-12-01T10:45:31.8105013Z 2022-12-01T10:45:31.8105128Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8105186Z ========== 2022-12-01T10:45:31.8105249Z ok (0.027s) 2022-12-01T10:45:31.8105585Z test_script_module_none_exist_fail (__main__.TestScript) ... skip: [module dedupe] currently NoneType refinement on optional attributes doesn't work. (0.001s) 2022-12-01T10:45:31.8105879Z test_script_module_not_tuple (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9397 2022-12-01T10:45:31.8105940Z due to: 2022-12-01T10:45:31.8106027Z Traceback (most recent call last): 2022-12-01T10:45:31.8106172Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8106242Z raise Unsupported(msg) 2022-12-01T10:45:31.8106362Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8106368Z 2022-12-01T10:45:31.8106433Z from user code: 2022-12-01T10:45:31.8106520Z File "test_jit.py", line 9397, in M 2022-12-01T10:45:31.8106614Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8106619Z 2022-12-01T10:45:31.8106743Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8106800Z ========== 2022-12-01T10:45:31.8107034Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9400 2022-12-01T10:45:31.8107095Z due to: 2022-12-01T10:45:31.8107180Z Traceback (most recent call last): 2022-12-01T10:45:31.8107340Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8107458Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8107615Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8107620Z 2022-12-01T10:45:31.8107686Z from user code: 2022-12-01T10:45:31.8107779Z File "test_jit.py", line 9401, in __init__ 2022-12-01T10:45:31.8107875Z super(M, self).__init__() 2022-12-01T10:45:31.8107880Z 2022-12-01T10:45:31.8108004Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8108060Z ========== 2022-12-01T10:45:31.8108121Z ok (0.020s) 2022-12-01T10:45:31.8108465Z test_script_module_param_buffer_mutation (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleBufferMutate test_jit.py line 8983 2022-12-01T10:45:31.8108529Z due to: 2022-12-01T10:45:31.8108614Z Traceback (most recent call last): 2022-12-01T10:45:31.8108763Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8108832Z raise Unsupported(msg) 2022-12-01T10:45:31.8108951Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8108955Z 2022-12-01T10:45:31.8109022Z from user code: 2022-12-01T10:45:31.8109131Z File "test_jit.py", line 8983, in ModuleBufferMutate 2022-12-01T10:45:31.8109256Z class ModuleBufferMutate(torch.jit.ScriptModule): 2022-12-01T10:45:31.8109262Z 2022-12-01T10:45:31.8109387Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8109445Z ========== 2022-12-01T10:45:31.8109642Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 8984 2022-12-01T10:45:31.8109700Z due to: 2022-12-01T10:45:31.8109789Z Traceback (most recent call last): 2022-12-01T10:45:31.8109947Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8110064Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8110218Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8110223Z 2022-12-01T10:45:31.8110290Z from user code: 2022-12-01T10:45:31.8110383Z File "test_jit.py", line 8985, in __init__ 2022-12-01T10:45:31.8110480Z super(ModuleBufferMutate, self).__init__() 2022-12-01T10:45:31.8110484Z 2022-12-01T10:45:31.8110611Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8110669Z ========== 2022-12-01T10:45:31.8110730Z ok (0.021s) 2022-12-01T10:45:31.8111032Z test_script_module_star_assign2 (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9681 2022-12-01T10:45:31.8111093Z due to: 2022-12-01T10:45:31.8111182Z Traceback (most recent call last): 2022-12-01T10:45:31.8111332Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8111452Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8111610Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8111615Z 2022-12-01T10:45:31.8111682Z from user code: 2022-12-01T10:45:31.8111775Z File "test_jit.py", line 9682, in __init__ 2022-12-01T10:45:31.8111853Z super(M2, self).__init__() 2022-12-01T10:45:31.8111858Z 2022-12-01T10:45:31.8111981Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8112041Z ========== 2022-12-01T10:45:31.8112242Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9656 2022-12-01T10:45:31.8112303Z due to: 2022-12-01T10:45:31.8112390Z Traceback (most recent call last): 2022-12-01T10:45:31.8112551Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8112702Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8112911Z NotImplementedError: GetAttrVariable(UserDefinedClassVariable(), StarTestSumAndReturnThree) is not a constant 2022-12-01T10:45:31.8112916Z 2022-12-01T10:45:31.8112984Z from user code: 2022-12-01T10:45:31.8113077Z File "test_jit.py", line 9657, in __init__ 2022-12-01T10:45:31.8113216Z super(TestScript.StarTestSumAndReturnThree, self).__init__() 2022-12-01T10:45:31.8113221Z 2022-12-01T10:45:31.8113347Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8113407Z ========== 2022-12-01T10:45:31.8113469Z ok (0.030s) 2022-12-01T10:45:31.8113818Z test_script_module_star_assign2_inplace (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9698 2022-12-01T10:45:31.8113881Z due to: 2022-12-01T10:45:31.8113967Z Traceback (most recent call last): 2022-12-01T10:45:31.8114122Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8114246Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8114404Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8114409Z 2022-12-01T10:45:31.8114474Z from user code: 2022-12-01T10:45:31.8114567Z File "test_jit.py", line 9699, in __init__ 2022-12-01T10:45:31.8114646Z super(M2, self).__init__() 2022-12-01T10:45:31.8114651Z 2022-12-01T10:45:31.8114774Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8114833Z ========== 2022-12-01T10:45:31.8114885Z ok (0.030s) 2022-12-01T10:45:31.8115204Z test_script_module_star_assign_fail_builtin (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9739 2022-12-01T10:45:31.8115265Z due to: 2022-12-01T10:45:31.8115349Z Traceback (most recent call last): 2022-12-01T10:45:31.8115509Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8115629Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8115787Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8115792Z 2022-12-01T10:45:31.8115858Z from user code: 2022-12-01T10:45:31.8115941Z File "test_jit.py", line 9740, in __init__ 2022-12-01T10:45:31.8116021Z super(M2, self).__init__() 2022-12-01T10:45:31.8116026Z 2022-12-01T10:45:31.8116151Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8116212Z ========== 2022-12-01T10:45:31.8116274Z ok (0.032s) 2022-12-01T10:45:31.8116599Z test_script_module_star_assign_fail_pythonop (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9720 2022-12-01T10:45:31.8116662Z due to: 2022-12-01T10:45:31.8116739Z Traceback (most recent call last): 2022-12-01T10:45:31.8116900Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8117022Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8117177Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8117182Z 2022-12-01T10:45:31.8117247Z from user code: 2022-12-01T10:45:31.8117341Z File "test_jit.py", line 9721, in __init__ 2022-12-01T10:45:31.8117418Z super(M2, self).__init__() 2022-12-01T10:45:31.8117423Z 2022-12-01T10:45:31.8117546Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8117595Z ========== 2022-12-01T10:45:31.8117657Z ok (0.033s) 2022-12-01T10:45:31.8117801Z test_script_module_tensor_subclass_argument (__main__.TestScript) ... ok (0.084s) 2022-12-01T10:45:31.8118094Z test_script_nested_mod_list (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Sub test_jit.py line 9563 2022-12-01T10:45:31.8118155Z due to: 2022-12-01T10:45:31.8118275Z Traceback (most recent call last): 2022-12-01T10:45:31.8118422Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8118501Z raise Unsupported(msg) 2022-12-01T10:45:31.8118610Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8118615Z 2022-12-01T10:45:31.8118681Z from user code: 2022-12-01T10:45:31.8118769Z File "test_jit.py", line 9563, in Sub 2022-12-01T10:45:31.8118866Z class Sub(torch.jit.ScriptModule): 2022-12-01T10:45:31.8118871Z 2022-12-01T10:45:31.8118995Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8119054Z ========== 2022-12-01T10:45:31.8119281Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9572 2022-12-01T10:45:31.8119333Z due to: 2022-12-01T10:45:31.8119421Z Traceback (most recent call last): 2022-12-01T10:45:31.8119568Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8119647Z raise Unsupported(msg) 2022-12-01T10:45:31.8119769Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8119774Z 2022-12-01T10:45:31.8119839Z from user code: 2022-12-01T10:45:31.8119926Z File "test_jit.py", line 9572, in M 2022-12-01T10:45:31.8120012Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8120026Z 2022-12-01T10:45:31.8120143Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8120201Z ========== 2022-12-01T10:45:31.8120410Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9573 2022-12-01T10:45:31.8120469Z due to: 2022-12-01T10:45:31.8120556Z Traceback (most recent call last): 2022-12-01T10:45:31.8120723Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8120843Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8120990Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8120995Z 2022-12-01T10:45:31.8121065Z from user code: 2022-12-01T10:45:31.8121158Z File "test_jit.py", line 9574, in __init__ 2022-12-01T10:45:31.8121232Z super(M, self).__init__() 2022-12-01T10:45:31.8121237Z 2022-12-01T10:45:31.8121359Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8121419Z ========== 2022-12-01T10:45:31.8121628Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9564 2022-12-01T10:45:31.8121688Z due to: 2022-12-01T10:45:31.8121766Z Traceback (most recent call last): 2022-12-01T10:45:31.8121927Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8122048Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8122204Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8122209Z 2022-12-01T10:45:31.8122274Z from user code: 2022-12-01T10:45:31.8122367Z File "test_jit.py", line 9565, in __init__ 2022-12-01T10:45:31.8122449Z super(Sub, self).__init__() 2022-12-01T10:45:31.8122453Z 2022-12-01T10:45:31.8122569Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8122630Z ========== 2022-12-01T10:45:31.8122691Z ok (0.057s) 2022-12-01T10:45:31.8122822Z test_script_non_tensor_args_outputs (__main__.TestScript) ... ok (0.099s) 2022-12-01T10:45:31.8122941Z test_script_optional_none (__main__.TestScript) ... ok (0.347s) 2022-12-01T10:45:31.8123053Z test_script_outputs (__main__.TestScript) ... ok (0.033s) 2022-12-01T10:45:31.8123395Z test_script_pack_padded_sequence (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT pack_padded_pad_packed_script test_jit.py line 9798 2022-12-01T10:45:31.8123458Z due to: 2022-12-01T10:45:31.8123537Z Traceback (most recent call last): 2022-12-01T10:45:31.8123751Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.8123843Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.8124116Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.8124122Z 2022-12-01T10:45:31.8124252Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8124258Z 2022-12-01T10:45:31.8124341Z Traceback (most recent call last): 2022-12-01T10:45:31.8124494Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8124586Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8124681Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8124686Z 2022-12-01T10:45:31.8124752Z from user code: 2022-12-01T10:45:31.8124943Z File "test_jit.py", line 9799, in pack_padded_pad_packed_script 2022-12-01T10:45:31.8125036Z x = pack_padded_sequence(x, seq_lens) 2022-12-01T10:45:31.8125042Z 2022-12-01T10:45:31.8125168Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8125228Z ========== 2022-12-01T10:45:31.8125440Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_jit.py line 9822 2022-12-01T10:45:31.8125505Z due to: 2022-12-01T10:45:31.8125583Z Traceback (most recent call last): 2022-12-01T10:45:31.8125797Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.8125891Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.8126116Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.8126121Z 2022-12-01T10:45:31.8126251Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8126255Z 2022-12-01T10:45:31.8126338Z Traceback (most recent call last): 2022-12-01T10:45:31.8126492Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8126585Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8126678Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8126682Z 2022-12-01T10:45:31.8126752Z from user code: 2022-12-01T10:45:31.8126848Z File "test_jit.py", line 9825, in forward 2022-12-01T10:45:31.8127077Z input=input, lengths=torch.tensor([1, 2]), enforce_sorted=False 2022-12-01T10:45:31.8127082Z 2022-12-01T10:45:31.8127210Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8127268Z ========== 2022-12-01T10:45:31.8127329Z ok (0.159s) 2022-12-01T10:45:31.8127690Z test_script_pad_sequence_pack_sequence (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_script_pad_sequence_pack_sequence test_jit.py line 9838 2022-12-01T10:45:31.8127753Z due to: 2022-12-01T10:45:31.8127840Z Traceback (most recent call last): 2022-12-01T10:45:31.8127995Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8128242Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8128621Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.8128628Z 2022-12-01T10:45:31.8128696Z from user code: 2022-12-01T10:45:31.8128831Z File "test_jit.py", line 9855, in test_script_pad_sequence_pack_sequence 2022-12-01T10:45:31.8128939Z with torch._jit_internal._disable_emit_hooks(): 2022-12-01T10:45:31.8128944Z 2022-12-01T10:45:31.8129061Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8129119Z ========== 2022-12-01T10:45:31.8129337Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT pack_sequence_func line 1 2022-12-01T10:45:31.8129398Z due to: 2022-12-01T10:45:31.8129484Z Traceback (most recent call last): 2022-12-01T10:45:31.8129703Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.8129796Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.8130011Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.8130077Z 2022-12-01T10:45:31.8130199Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8130204Z 2022-12-01T10:45:31.8130289Z Traceback (most recent call last): 2022-12-01T10:45:31.8130440Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8130531Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8130635Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8130640Z 2022-12-01T10:45:31.8130707Z from user code: 2022-12-01T10:45:31.8130811Z File "", line 3, in pack_sequence_func 2022-12-01T10:45:31.8130816Z 2022-12-01T10:45:31.8130941Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8131025Z ========== 2022-12-01T10:45:31.8131254Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT pack_sequence_func test_jit.py line 9845 2022-12-01T10:45:31.8131312Z due to: 2022-12-01T10:45:31.8131398Z Traceback (most recent call last): 2022-12-01T10:45:31.8131610Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.8131706Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.8131933Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.8131938Z 2022-12-01T10:45:31.8132058Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8132071Z 2022-12-01T10:45:31.8132150Z Traceback (most recent call last): 2022-12-01T10:45:31.8132299Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8132391Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8132495Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8132502Z 2022-12-01T10:45:31.8132568Z from user code: 2022-12-01T10:45:31.8132675Z File "test_jit.py", line 9847, in pack_sequence_func 2022-12-01T10:45:31.8132817Z return pad_packed_sequence(pack_sequence(tensor_list, enforce_sorted))[0] 2022-12-01T10:45:31.8132823Z 2022-12-01T10:45:31.8132949Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8132999Z ========== 2022-12-01T10:45:31.8133216Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT pack_sequence_func line 1 2022-12-01T10:45:31.8133277Z due to: 2022-12-01T10:45:31.8133364Z Traceback (most recent call last): 2022-12-01T10:45:31.8133575Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:45:31.8133669Z return self._op(*args, **kwargs or {}) 2022-12-01T10:45:31.8133895Z RuntimeError: 'lengths' argument should be a 1D CPU int64 tensor, but got 1D meta Long tensor 2022-12-01T10:45:31.8133900Z 2022-12-01T10:45:31.8134022Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8134036Z 2022-12-01T10:45:31.8134113Z Traceback (most recent call last): 2022-12-01T10:45:31.8134262Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8134357Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8134460Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8134465Z 2022-12-01T10:45:31.8134533Z from user code: 2022-12-01T10:45:31.8134633Z File "", line 3, in pack_sequence_func 2022-12-01T10:45:31.8134638Z 2022-12-01T10:45:31.8134762Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8134811Z ========== 2022-12-01T10:45:31.8134874Z ok (0.176s) 2022-12-01T10:45:31.8135176Z test_script_scope (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_script_scope test_jit.py line 15583 2022-12-01T10:45:31.8135236Z due to: 2022-12-01T10:45:31.8135324Z Traceback (most recent call last): 2022-12-01T10:45:31.8135548Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8135675Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8135846Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8135883Z 2022-12-01T10:45:31.8135939Z from user code: 2022-12-01T10:45:31.8136044Z File "test_jit.py", line 15584, in test_script_scope 2022-12-01T10:45:31.8136196Z scripted = torch.jit.script(torch.nn.functional.triplet_margin_loss) 2022-12-01T10:45:31.8136201Z 2022-12-01T10:45:31.8136326Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8136385Z ========== 2022-12-01T10:45:31.8136447Z ok (0.003s) 2022-12-01T10:45:31.8136738Z test_script_sequential_for (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Sub test_jit.py line 9427 2022-12-01T10:45:31.8136789Z due to: 2022-12-01T10:45:31.8136875Z Traceback (most recent call last): 2022-12-01T10:45:31.8137051Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8137134Z raise Unsupported(msg) 2022-12-01T10:45:31.8137281Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8137288Z 2022-12-01T10:45:31.8137391Z from user code: 2022-12-01T10:45:31.8137501Z File "test_jit.py", line 9427, in Sub 2022-12-01T10:45:31.8137599Z class Sub(torch.jit.ScriptModule): 2022-12-01T10:45:31.8137603Z 2022-12-01T10:45:31.8137721Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8137778Z ========== 2022-12-01T10:45:31.8137981Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9436 2022-12-01T10:45:31.8138042Z due to: 2022-12-01T10:45:31.8138127Z Traceback (most recent call last): 2022-12-01T10:45:31.8138274Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8138354Z raise Unsupported(msg) 2022-12-01T10:45:31.8138465Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8138470Z 2022-12-01T10:45:31.8138535Z from user code: 2022-12-01T10:45:31.8138620Z File "test_jit.py", line 9436, in M 2022-12-01T10:45:31.8138715Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8138720Z 2022-12-01T10:45:31.8138847Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8138905Z ========== 2022-12-01T10:45:31.8139111Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9437 2022-12-01T10:45:31.8139171Z due to: 2022-12-01T10:45:31.8139248Z Traceback (most recent call last): 2022-12-01T10:45:31.8139410Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8139531Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8139691Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8139695Z 2022-12-01T10:45:31.8139764Z from user code: 2022-12-01T10:45:31.8139859Z File "test_jit.py", line 9438, in __init__ 2022-12-01T10:45:31.8139934Z super(M, self).__init__() 2022-12-01T10:45:31.8139939Z 2022-12-01T10:45:31.8140055Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8140113Z ========== 2022-12-01T10:45:31.8140324Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9428 2022-12-01T10:45:31.8140384Z due to: 2022-12-01T10:45:31.8140471Z Traceback (most recent call last): 2022-12-01T10:45:31.8140637Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8140761Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8140920Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8140925Z 2022-12-01T10:45:31.8140982Z from user code: 2022-12-01T10:45:31.8141074Z File "test_jit.py", line 9429, in __init__ 2022-12-01T10:45:31.8141155Z super(Sub, self).__init__() 2022-12-01T10:45:31.8141162Z 2022-12-01T10:45:31.8141285Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8141343Z ========== 2022-12-01T10:45:31.8141405Z ok (0.045s) 2022-12-01T10:45:31.8141708Z test_script_sequential_in_mod_list (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Sub test_jit.py line 9536 2022-12-01T10:45:31.8141796Z due to: 2022-12-01T10:45:31.8141885Z Traceback (most recent call last): 2022-12-01T10:45:31.8142033Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8142112Z raise Unsupported(msg) 2022-12-01T10:45:31.8142231Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8142236Z 2022-12-01T10:45:31.8142302Z from user code: 2022-12-01T10:45:31.8142393Z File "test_jit.py", line 9536, in Sub 2022-12-01T10:45:31.8142490Z class Sub(torch.jit.ScriptModule): 2022-12-01T10:45:31.8142495Z 2022-12-01T10:45:31.8142641Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8142702Z ========== 2022-12-01T10:45:31.8142904Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9545 2022-12-01T10:45:31.8142964Z due to: 2022-12-01T10:45:31.8143050Z Traceback (most recent call last): 2022-12-01T10:45:31.8143195Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8143276Z raise Unsupported(msg) 2022-12-01T10:45:31.8143385Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8143390Z 2022-12-01T10:45:31.8143455Z from user code: 2022-12-01T10:45:31.8143538Z File "test_jit.py", line 9545, in M 2022-12-01T10:45:31.8143632Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8143637Z 2022-12-01T10:45:31.8143760Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8143820Z ========== 2022-12-01T10:45:31.8144029Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9546 2022-12-01T10:45:31.8144091Z due to: 2022-12-01T10:45:31.8144170Z Traceback (most recent call last): 2022-12-01T10:45:31.8144330Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8144449Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8144608Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8144613Z 2022-12-01T10:45:31.8144680Z from user code: 2022-12-01T10:45:31.8144774Z File "test_jit.py", line 9547, in __init__ 2022-12-01T10:45:31.8144850Z super(M, self).__init__() 2022-12-01T10:45:31.8144855Z 2022-12-01T10:45:31.8144970Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8145030Z ========== 2022-12-01T10:45:31.8145236Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9537 2022-12-01T10:45:31.8145296Z due to: 2022-12-01T10:45:31.8145381Z Traceback (most recent call last): 2022-12-01T10:45:31.8145546Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8145668Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8145826Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8145831Z 2022-12-01T10:45:31.8145888Z from user code: 2022-12-01T10:45:31.8145980Z File "test_jit.py", line 9538, in __init__ 2022-12-01T10:45:31.8146060Z super(Sub, self).__init__() 2022-12-01T10:45:31.8146065Z 2022-12-01T10:45:31.8146189Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8146247Z ========== 2022-12-01T10:45:31.8146310Z ok (0.061s) 2022-12-01T10:45:31.8146629Z test_script_sequential_multi_output_fail (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Sub test_jit.py line 9498 2022-12-01T10:45:31.8146679Z due to: 2022-12-01T10:45:31.8146766Z Traceback (most recent call last): 2022-12-01T10:45:31.8146913Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8146992Z raise Unsupported(msg) 2022-12-01T10:45:31.8147110Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8147115Z 2022-12-01T10:45:31.8147180Z from user code: 2022-12-01T10:45:31.8147268Z File "test_jit.py", line 9498, in Sub 2022-12-01T10:45:31.8147399Z class Sub(torch.jit.ScriptModule): 2022-12-01T10:45:31.8147404Z 2022-12-01T10:45:31.8147521Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8147580Z ========== 2022-12-01T10:45:31.8147798Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ReturnMulti test_jit.py line 9507 2022-12-01T10:45:31.8147859Z due to: 2022-12-01T10:45:31.8147948Z Traceback (most recent call last): 2022-12-01T10:45:31.8148094Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8148174Z raise Unsupported(msg) 2022-12-01T10:45:31.8148282Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8148296Z 2022-12-01T10:45:31.8148383Z from user code: 2022-12-01T10:45:31.8148484Z File "test_jit.py", line 9507, in ReturnMulti 2022-12-01T10:45:31.8148596Z class ReturnMulti(torch.jit.ScriptModule): 2022-12-01T10:45:31.8148601Z 2022-12-01T10:45:31.8148727Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8148794Z ========== 2022-12-01T10:45:31.8149022Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT HaveSequential test_jit.py line 9515 2022-12-01T10:45:31.8149084Z due to: 2022-12-01T10:45:31.8149162Z Traceback (most recent call last): 2022-12-01T10:45:31.8149306Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8149386Z raise Unsupported(msg) 2022-12-01T10:45:31.8149503Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8149508Z 2022-12-01T10:45:31.8149574Z from user code: 2022-12-01T10:45:31.8149675Z File "test_jit.py", line 9515, in HaveSequential 2022-12-01T10:45:31.8149797Z class HaveSequential(torch.jit.ScriptModule): 2022-12-01T10:45:31.8149802Z 2022-12-01T10:45:31.8149918Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8149975Z ========== 2022-12-01T10:45:31.8150182Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9516 2022-12-01T10:45:31.8150244Z due to: 2022-12-01T10:45:31.8150330Z Traceback (most recent call last): 2022-12-01T10:45:31.8150499Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8150620Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8150779Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8150784Z 2022-12-01T10:45:31.8150841Z from user code: 2022-12-01T10:45:31.8150937Z File "test_jit.py", line 9517, in __init__ 2022-12-01T10:45:31.8151033Z super(HaveSequential, self).__init__() 2022-12-01T10:45:31.8151038Z 2022-12-01T10:45:31.8151163Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8151223Z ========== 2022-12-01T10:45:31.8151431Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9499 2022-12-01T10:45:31.8151490Z due to: 2022-12-01T10:45:31.8151567Z Traceback (most recent call last): 2022-12-01T10:45:31.8151735Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8151853Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8152009Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8152014Z 2022-12-01T10:45:31.8152076Z from user code: 2022-12-01T10:45:31.8152170Z File "test_jit.py", line 9500, in __init__ 2022-12-01T10:45:31.8152248Z super(Sub, self).__init__() 2022-12-01T10:45:31.8152253Z 2022-12-01T10:45:31.8152379Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8152427Z ========== 2022-12-01T10:45:31.8152640Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9508 2022-12-01T10:45:31.8152699Z due to: 2022-12-01T10:45:31.8152784Z Traceback (most recent call last): 2022-12-01T10:45:31.8152948Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8153100Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8153258Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8153262Z 2022-12-01T10:45:31.8153328Z from user code: 2022-12-01T10:45:31.8153412Z File "test_jit.py", line 9509, in __init__ 2022-12-01T10:45:31.8153501Z super(ReturnMulti, self).__init__() 2022-12-01T10:45:31.8153506Z 2022-12-01T10:45:31.8153630Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8153686Z ========== 2022-12-01T10:45:31.8153745Z ok (0.039s) 2022-12-01T10:45:31.8154075Z test_script_sequential_orderdict (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 9482 2022-12-01T10:45:31.8154137Z due to: 2022-12-01T10:45:31.8154215Z Traceback (most recent call last): 2022-12-01T10:45:31.8154370Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8154452Z raise Unsupported(msg) 2022-12-01T10:45:31.8154574Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8154579Z 2022-12-01T10:45:31.8154635Z from user code: 2022-12-01T10:45:31.8154721Z File "test_jit.py", line 9482, in M 2022-12-01T10:45:31.8154817Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8154821Z 2022-12-01T10:45:31.8154946Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8155005Z ========== 2022-12-01T10:45:31.8155215Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9483 2022-12-01T10:45:31.8155276Z due to: 2022-12-01T10:45:31.8155353Z Traceback (most recent call last): 2022-12-01T10:45:31.8155516Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8155633Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8155789Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8155796Z 2022-12-01T10:45:31.8155861Z from user code: 2022-12-01T10:45:31.8155955Z File "test_jit.py", line 9484, in __init__ 2022-12-01T10:45:31.8156032Z super(M, self).__init__() 2022-12-01T10:45:31.8156037Z 2022-12-01T10:45:31.8156165Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8156214Z ========== 2022-12-01T10:45:31.8156274Z ok (0.045s) 2022-12-01T10:45:31.8156411Z test_script_sequential_sliced_iteration (__main__.TestScript) ... ok (0.078s) 2022-12-01T10:45:31.8156701Z test_script_star_assign (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9667 2022-12-01T10:45:31.8156763Z due to: 2022-12-01T10:45:31.8156852Z Traceback (most recent call last): 2022-12-01T10:45:31.8157013Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8157135Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8157281Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8157288Z 2022-12-01T10:45:31.8157354Z from user code: 2022-12-01T10:45:31.8157448Z File "test_jit.py", line 9668, in __init__ 2022-12-01T10:45:31.8157526Z super(M2, self).__init__() 2022-12-01T10:45:31.8157531Z 2022-12-01T10:45:31.8157654Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8157713Z ========== 2022-12-01T10:45:31.8157774Z ok (0.026s) 2022-12-01T10:45:31.8158049Z test_script_star_expr (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M2 test_jit.py line 9623 2022-12-01T10:45:31.8158110Z due to: 2022-12-01T10:45:31.8158196Z Traceback (most recent call last): 2022-12-01T10:45:31.8158342Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8158420Z raise Unsupported(msg) 2022-12-01T10:45:31.8158541Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8158546Z 2022-12-01T10:45:31.8158645Z from user code: 2022-12-01T10:45:31.8158731Z File "test_jit.py", line 9623, in M2 2022-12-01T10:45:31.8158820Z class M2(torch.jit.ScriptModule): 2022-12-01T10:45:31.8158825Z 2022-12-01T10:45:31.8158950Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8159010Z ========== 2022-12-01T10:45:31.8159218Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9624 2022-12-01T10:45:31.8159278Z due to: 2022-12-01T10:45:31.8159365Z Traceback (most recent call last): 2022-12-01T10:45:31.8159528Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8159675Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8159833Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8159838Z 2022-12-01T10:45:31.8159904Z from user code: 2022-12-01T10:45:31.8159997Z File "test_jit.py", line 9625, in __init__ 2022-12-01T10:45:31.8160077Z super(M2, self).__init__() 2022-12-01T10:45:31.8160082Z 2022-12-01T10:45:31.8160208Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8160268Z ========== 2022-12-01T10:45:31.8160476Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9605 2022-12-01T10:45:31.8160525Z due to: 2022-12-01T10:45:31.8160611Z Traceback (most recent call last): 2022-12-01T10:45:31.8160773Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8160892Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8161088Z NotImplementedError: GetAttrVariable(UserDefinedClassVariable(), StarTestSumStarred) is not a constant 2022-12-01T10:45:31.8161093Z 2022-12-01T10:45:31.8161158Z from user code: 2022-12-01T10:45:31.8161253Z File "test_jit.py", line 9606, in __init__ 2022-12-01T10:45:31.8161382Z super(TestScript.StarTestSumStarred, self).__init__() 2022-12-01T10:45:31.8161387Z 2022-12-01T10:45:31.8161504Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8161561Z ========== 2022-12-01T10:45:31.8161767Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9615 2022-12-01T10:45:31.8161825Z due to: 2022-12-01T10:45:31.8161911Z Traceback (most recent call last): 2022-12-01T10:45:31.8162070Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8162189Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8162376Z NotImplementedError: GetAttrVariable(UserDefinedClassVariable(), StarTestReturnThree) is not a constant 2022-12-01T10:45:31.8162390Z 2022-12-01T10:45:31.8162448Z from user code: 2022-12-01T10:45:31.8162541Z File "test_jit.py", line 9616, in __init__ 2022-12-01T10:45:31.8162670Z super(TestScript.StarTestReturnThree, self).__init__() 2022-12-01T10:45:31.8162675Z 2022-12-01T10:45:31.8162799Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8162861Z ========== 2022-12-01T10:45:31.8162924Z ok (0.036s) 2022-12-01T10:45:31.8163226Z test_script_star_expr_string (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 9640 2022-12-01T10:45:31.8163277Z due to: 2022-12-01T10:45:31.8163363Z Traceback (most recent call last): 2022-12-01T10:45:31.8163523Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8163642Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8163796Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8163801Z 2022-12-01T10:45:31.8163869Z from user code: 2022-12-01T10:45:31.8163964Z File "test_jit.py", line 9641, in __init__ 2022-12-01T10:45:31.8164040Z super(M2, self).__init__() 2022-12-01T10:45:31.8164045Z 2022-12-01T10:45:31.8164160Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8164262Z ========== 2022-12-01T10:45:31.8164325Z ok (0.034s) 2022-12-01T10:45:31.8164449Z test_scriptable_fn_as_attr (__main__.TestScript) ... ok (0.045s) 2022-12-01T10:45:31.8164594Z test_scriptmodule_multi_head_attn_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-12-01T10:45:31.8164747Z test_scriptmodule_releases_tensors_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-12-01T10:45:31.8164894Z test_scriptmodule_transformer_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-12-01T10:45:31.8165012Z test_select_after_chunk (__main__.TestScript) ... ok (0.087s) 2022-12-01T10:45:31.8165344Z test_sequence_parsing (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sequence_parsing test_jit.py line 3463 2022-12-01T10:45:31.8165405Z due to: 2022-12-01T10:45:31.8165493Z Traceback (most recent call last): 2022-12-01T10:45:31.8165645Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8165895Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8166177Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8166182Z 2022-12-01T10:45:31.8166252Z from user code: 2022-12-01T10:45:31.8166365Z File "test_jit.py", line 3474, in test_sequence_parsing 2022-12-01T10:45:31.8166455Z cu = torch.jit.CompilationUnit() 2022-12-01T10:45:31.8166460Z 2022-12-01T10:45:31.8166588Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8166648Z ========== 2022-12-01T10:45:31.8166714Z ok (0.005s) 2022-12-01T10:45:31.8166854Z test_sequential_intermediary_types (__main__.TestScript) ... ok (0.089s) 2022-12-01T10:45:31.8167268Z test_serialization_big_ints (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15556 2022-12-01T10:45:31.8167333Z due to: 2022-12-01T10:45:31.8167410Z Traceback (most recent call last): 2022-12-01T10:45:31.8167563Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8167643Z raise Unsupported(msg) 2022-12-01T10:45:31.8167766Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8167771Z 2022-12-01T10:45:31.8167839Z from user code: 2022-12-01T10:45:31.8167928Z File "test_jit.py", line 15556, in M 2022-12-01T10:45:31.8168029Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8168034Z 2022-12-01T10:45:31.8168161Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8168210Z ========== 2022-12-01T10:45:31.8168495Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15557 2022-12-01T10:45:31.8168559Z due to: 2022-12-01T10:45:31.8168651Z Traceback (most recent call last): 2022-12-01T10:45:31.8168821Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8168947Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8169107Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8169112Z 2022-12-01T10:45:31.8169169Z from user code: 2022-12-01T10:45:31.8169262Z File "test_jit.py", line 15558, in __init__ 2022-12-01T10:45:31.8169341Z super(M, self).__init__() 2022-12-01T10:45:31.8169346Z 2022-12-01T10:45:31.8169473Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8169535Z ========== 2022-12-01T10:45:31.8169600Z ok (0.025s) 2022-12-01T10:45:31.8169893Z test_serialization_sharing (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15588 2022-12-01T10:45:31.8169958Z due to: 2022-12-01T10:45:31.8170037Z Traceback (most recent call last): 2022-12-01T10:45:31.8170185Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8170265Z raise Unsupported(msg) 2022-12-01T10:45:31.8170388Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8170453Z 2022-12-01T10:45:31.8170523Z from user code: 2022-12-01T10:45:31.8170611Z File "test_jit.py", line 15588, in M 2022-12-01T10:45:31.8170708Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8170713Z 2022-12-01T10:45:31.8170830Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8170890Z ========== 2022-12-01T10:45:31.8171097Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15589 2022-12-01T10:45:31.8171160Z due to: 2022-12-01T10:45:31.8171250Z Traceback (most recent call last): 2022-12-01T10:45:31.8171454Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8171581Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8171739Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8171744Z 2022-12-01T10:45:31.8171800Z from user code: 2022-12-01T10:45:31.8171897Z File "test_jit.py", line 15590, in __init__ 2022-12-01T10:45:31.8171977Z super(M, self).__init__() 2022-12-01T10:45:31.8171982Z 2022-12-01T10:45:31.8172112Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8172173Z ========== 2022-12-01T10:45:31.8172240Z ok (0.025s) 2022-12-01T10:45:31.8172559Z test_serialize_long_lines (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT OrderModuleLong test_jit.py line 4638 2022-12-01T10:45:31.8172610Z due to: 2022-12-01T10:45:31.8172694Z Traceback (most recent call last): 2022-12-01T10:45:31.8172840Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8172922Z raise Unsupported(msg) 2022-12-01T10:45:31.8173042Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8173047Z 2022-12-01T10:45:31.8173115Z from user code: 2022-12-01T10:45:31.8173223Z File "test_jit.py", line 4638, in OrderModuleLong 2022-12-01T10:45:31.8173329Z class OrderModuleLong(torch.nn.Module): 2022-12-01T10:45:31.8173335Z 2022-12-01T10:45:31.8173450Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8173507Z ========== 2022-12-01T10:45:31.8173570Z ok (0.017s) 2022-12-01T10:45:31.8173875Z test_serialized_source_ranges (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooTest test_jit.py line 4465 2022-12-01T10:45:31.8173937Z due to: 2022-12-01T10:45:31.8174023Z Traceback (most recent call last): 2022-12-01T10:45:31.8174167Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8174237Z raise Unsupported(msg) 2022-12-01T10:45:31.8174359Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8174363Z 2022-12-01T10:45:31.8174434Z from user code: 2022-12-01T10:45:31.8174528Z File "test_jit.py", line 4465, in FooTest 2022-12-01T10:45:31.8174631Z class FooTest(torch.jit.ScriptModule): 2022-12-01T10:45:31.8174635Z 2022-12-01T10:45:31.8174763Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8174821Z ========== 2022-12-01T10:45:31.8174883Z ok (0.030s) 2022-12-01T10:45:31.8175181Z test_serialized_source_ranges2 (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooTest2 test_jit.py line 4493 2022-12-01T10:45:31.8175242Z due to: 2022-12-01T10:45:31.8175328Z Traceback (most recent call last): 2022-12-01T10:45:31.8175471Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8175549Z raise Unsupported(msg) 2022-12-01T10:45:31.8175668Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8175673Z 2022-12-01T10:45:31.8175742Z from user code: 2022-12-01T10:45:31.8175828Z File "test_jit.py", line 4493, in FooTest2 2022-12-01T10:45:31.8175936Z class FooTest2(torch.jit.ScriptModule): 2022-12-01T10:45:31.8175941Z 2022-12-01T10:45:31.8176065Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8176160Z ========== 2022-12-01T10:45:31.8176219Z ok (0.025s) 2022-12-01T10:45:31.8176540Z test_serialized_source_ranges_dont_jitter (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooTest3 test_jit.py line 4506 2022-12-01T10:45:31.8176602Z due to: 2022-12-01T10:45:31.8176691Z Traceback (most recent call last): 2022-12-01T10:45:31.8176825Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8176904Z raise Unsupported(msg) 2022-12-01T10:45:31.8177022Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8177027Z 2022-12-01T10:45:31.8177091Z from user code: 2022-12-01T10:45:31.8177218Z File "test_jit.py", line 4506, in FooTest3 2022-12-01T10:45:31.8177328Z class FooTest3(torch.jit.ScriptModule): 2022-12-01T10:45:31.8177333Z 2022-12-01T10:45:31.8177458Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8177507Z ========== 2022-12-01T10:45:31.8177774Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 4535 2022-12-01T10:45:31.8177838Z due to: 2022-12-01T10:45:31.8177925Z Traceback (most recent call last): 2022-12-01T10:45:31.8178077Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:45:31.8178199Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:45:31.8178292Z BytesWarning: str() on a bytes instance 2022-12-01T10:45:31.8178296Z 2022-12-01T10:45:31.8178363Z from user code: 2022-12-01T10:45:31.8178483Z File "test_jit.py", line 4536, in 2022-12-01T10:45:31.8178576Z archive = zipfile.ZipFile(buffer) 2022-12-01T10:45:31.8178583Z 2022-12-01T10:45:31.8178710Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8178769Z ========== 2022-12-01T10:45:31.8178830Z ok (0.150s) 2022-12-01T10:45:31.8179147Z test_serialized_source_ranges_graph (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooTest3 test_jit.py line 4479 2022-12-01T10:45:31.8179211Z due to: 2022-12-01T10:45:31.8179288Z Traceback (most recent call last): 2022-12-01T10:45:31.8179434Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8179513Z raise Unsupported(msg) 2022-12-01T10:45:31.8179632Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8179637Z 2022-12-01T10:45:31.8179703Z from user code: 2022-12-01T10:45:31.8179795Z File "test_jit.py", line 4479, in FooTest3 2022-12-01T10:45:31.8179903Z class FooTest3(torch.jit.ScriptModule): 2022-12-01T10:45:31.8179908Z 2022-12-01T10:45:31.8180036Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8180086Z ========== 2022-12-01T10:45:31.8180149Z ok (0.027s) 2022-12-01T10:45:31.8180470Z test_serialized_source_ranges_no_dups (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT FooTest3 test_jit.py line 4557 2022-12-01T10:45:31.8180531Z due to: 2022-12-01T10:45:31.8180617Z Traceback (most recent call last): 2022-12-01T10:45:31.8180763Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8180842Z raise Unsupported(msg) 2022-12-01T10:45:31.8180951Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8180966Z 2022-12-01T10:45:31.8181022Z from user code: 2022-12-01T10:45:31.8181116Z File "test_jit.py", line 4557, in FooTest3 2022-12-01T10:45:31.8181221Z class FooTest3(torch.jit.ScriptModule): 2022-12-01T10:45:31.8181226Z 2022-12-01T10:45:31.8181352Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8181410Z ========== 2022-12-01T10:45:31.8181677Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 4586 2022-12-01T10:45:31.8181739Z due to: 2022-12-01T10:45:31.8181817Z Traceback (most recent call last): 2022-12-01T10:45:31.8181966Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:45:31.8182125Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:45:31.8182216Z BytesWarning: str() on a bytes instance 2022-12-01T10:45:31.8182220Z 2022-12-01T10:45:31.8182287Z from user code: 2022-12-01T10:45:31.8182415Z File "test_jit.py", line 4587, in 2022-12-01T10:45:31.8182508Z archive = zipfile.ZipFile(buffer) 2022-12-01T10:45:31.8182513Z 2022-12-01T10:45:31.8182641Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8182690Z ========== 2022-12-01T10:45:31.8182749Z ok (0.083s) 2022-12-01T10:45:31.8183084Z test_set_attribute_through_optional (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A test_jit.py line 3375 2022-12-01T10:45:31.8183146Z due to: 2022-12-01T10:45:31.8183232Z Traceback (most recent call last): 2022-12-01T10:45:31.8183378Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8183461Z raise Unsupported(msg) 2022-12-01T10:45:31.8183572Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8183576Z 2022-12-01T10:45:31.8183643Z from user code: 2022-12-01T10:45:31.8183728Z File "test_jit.py", line 3375, in A 2022-12-01T10:45:31.8183809Z class A(torch.nn.Module): 2022-12-01T10:45:31.8183814Z 2022-12-01T10:45:31.8183939Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8183997Z ========== 2022-12-01T10:45:31.8184059Z ok (0.047s) 2022-12-01T10:45:31.8184434Z test_shape_analysis_grad_property (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 7494 2022-12-01T10:45:31.8184488Z due to: 2022-12-01T10:45:31.8184573Z Traceback (most recent call last): 2022-12-01T10:45:31.8184733Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8184851Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8185151Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8185156Z 2022-12-01T10:45:31.8185221Z from user code: 2022-12-01T10:45:31.8185365Z File "test_jit.py", line 7498, in 2022-12-01T10:45:31.8185513Z torch._C._jit_pass_complete_shape_analysis(foo.graph, (torch.tensor([0.39]),), False) 2022-12-01T10:45:31.8185518Z 2022-12-01T10:45:31.8185634Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8185693Z ========== 2022-12-01T10:45:31.8185753Z ok (0.054s) 2022-12-01T10:45:31.8185876Z test_shape_analysis_loop (__main__.TestScript) ... ok (0.087s) 2022-12-01T10:45:31.8186248Z test_shape_prop_promote_scalar_arg (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5746 2022-12-01T10:45:31.8186310Z due to: 2022-12-01T10:45:31.8186399Z Traceback (most recent call last): 2022-12-01T10:45:31.8186561Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8186667Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8186960Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8186965Z 2022-12-01T10:45:31.8187029Z from user code: 2022-12-01T10:45:31.8187176Z File "test_jit.py", line 5751, in 2022-12-01T10:45:31.8187287Z graph = _propagate_shapes(fn.graph, (x,), False) 2022-12-01T10:45:31.8187292Z 2022-12-01T10:45:31.8187416Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8187473Z ========== 2022-12-01T10:45:31.8187537Z ok (0.054s) 2022-12-01T10:45:31.8187875Z test_shape_prop_promotion (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5737 2022-12-01T10:45:31.8187971Z due to: 2022-12-01T10:45:31.8188062Z Traceback (most recent call last): 2022-12-01T10:45:31.8188220Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8188333Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8188626Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8188631Z 2022-12-01T10:45:31.8188698Z from user code: 2022-12-01T10:45:31.8188868Z File "test_jit.py", line 5742, in 2022-12-01T10:45:31.8188971Z graph = _propagate_shapes(fn.graph, (x, y), False) 2022-12-01T10:45:31.8188976Z 2022-12-01T10:45:31.8189101Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8189159Z ========== 2022-12-01T10:45:31.8189223Z ok (0.056s) 2022-12-01T10:45:31.8189339Z test_signed_float_zero (__main__.TestScript) ... ok (0.044s) 2022-12-01T10:45:31.8189469Z test_single_starred_expr_for_loop (__main__.TestScript) ... ok (0.026s) 2022-12-01T10:45:31.8189588Z test_single_starred_lhs (__main__.TestScript) ... ok (0.026s) 2022-12-01T10:45:31.8189702Z test_singleton_tuple_unpack (__main__.TestScript) ... ok (0.079s) 2022-12-01T10:45:31.8189871Z test_slice_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-12-01T10:45:31.8189977Z test_split (__main__.TestScript) ... ok (0.087s) 2022-12-01T10:45:31.8190075Z test_stack (__main__.TestScript) ... ok (0.040s) 2022-12-01T10:45:31.8190362Z test_static_if_prop (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod test_jit.py line 15726 2022-12-01T10:45:31.8190423Z due to: 2022-12-01T10:45:31.8190511Z Traceback (most recent call last): 2022-12-01T10:45:31.8190657Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8190729Z raise Unsupported(msg) 2022-12-01T10:45:31.8190849Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8190854Z 2022-12-01T10:45:31.8190921Z from user code: 2022-12-01T10:45:31.8191015Z File "test_jit.py", line 15726, in MyMod 2022-12-01T10:45:31.8191102Z class MyMod(torch.nn.Module): 2022-12-01T10:45:31.8191107Z 2022-12-01T10:45:31.8191232Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8191291Z ========== 2022-12-01T10:45:31.8191499Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT HasAttrMod test_jit.py line 15739 2022-12-01T10:45:31.8191560Z due to: 2022-12-01T10:45:31.8191649Z Traceback (most recent call last): 2022-12-01T10:45:31.8191794Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8191871Z raise Unsupported(msg) 2022-12-01T10:45:31.8191988Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8191995Z 2022-12-01T10:45:31.8192061Z from user code: 2022-12-01T10:45:31.8192158Z File "test_jit.py", line 15739, in HasAttrMod 2022-12-01T10:45:31.8192243Z class HasAttrMod(torch.nn.Module): 2022-12-01T10:45:31.8192249Z 2022-12-01T10:45:31.8192372Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8192432Z ========== 2022-12-01T10:45:31.8192494Z ok (0.123s) 2022-12-01T10:45:31.8192603Z test_static_method_on_module (__main__.TestScript) 2022-12-01T10:45:31.8192755Z Check that the `@staticmethod` annotation on a function on a module works. ... ok (0.047s) 2022-12-01T10:45:31.8192868Z test_static_methods (__main__.TestScript) ... ok (0.088s) 2022-12-01T10:45:31.8192965Z test_str_cast (__main__.TestScript) ... ok (0.078s) 2022-12-01T10:45:31.8193253Z test_string_cu (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_string_cu test_jit.py line 4803 2022-12-01T10:45:31.8193315Z due to: 2022-12-01T10:45:31.8193401Z Traceback (most recent call last): 2022-12-01T10:45:31.8193588Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8193836Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8194115Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8194120Z 2022-12-01T10:45:31.8194185Z from user code: 2022-12-01T10:45:31.8194279Z File "test_jit.py", line 4809, in test_string_cu 2022-12-01T10:45:31.8194359Z ''') 2022-12-01T10:45:31.8194363Z 2022-12-01T10:45:31.8194489Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8194577Z ========== 2022-12-01T10:45:31.8194641Z ok (0.003s) 2022-12-01T10:45:31.8194777Z test_string_device_implicit_conversion (__main__.TestScript) ... ok (0.082s) 2022-12-01T10:45:31.8194897Z test_string_frontend_elif (__main__.TestScript) ... ok (0.042s) 2022-12-01T10:45:31.8195010Z test_string_index (__main__.TestScript) ... ok (0.041s) 2022-12-01T10:45:31.8195107Z test_string_len (__main__.TestScript) ... ok (0.045s) 2022-12-01T10:45:31.8195216Z test_string_list (__main__.TestScript) ... ok (0.046s) 2022-12-01T10:45:31.8195325Z test_string_new_line (__main__.TestScript) ... ok (0.026s) 2022-12-01T10:45:31.8195429Z test_string_ops (__main__.TestScript) ... ok (0.041s) 2022-12-01T10:45:31.8195536Z test_string_print (__main__.TestScript) ... ok (0.152s) 2022-12-01T10:45:31.8195654Z test_string_single_escape (__main__.TestScript) ... ok (0.027s) 2022-12-01T10:45:31.8195766Z test_string_slicing (__main__.TestScript) ... ok (0.054s) 2022-12-01T10:45:31.8195865Z test_string_sort (__main__.TestScript) ... ok (0.042s) 2022-12-01T10:45:31.8196167Z test_string_sorted (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_string_sorted test_jit.py line 4841 2022-12-01T10:45:31.8196229Z due to: 2022-12-01T10:45:31.8196317Z Traceback (most recent call last): 2022-12-01T10:45:31.8196470Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8196714Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8196956Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8196962Z 2022-12-01T10:45:31.8197029Z from user code: 2022-12-01T10:45:31.8197126Z File "test_jit.py", line 4845, in test_string_sorted 2022-12-01T10:45:31.8197195Z FileCheck() \ 2022-12-01T10:45:31.8197200Z 2022-12-01T10:45:31.8197326Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8197387Z ========== 2022-12-01T10:45:31.8197450Z ok (0.013s) 2022-12-01T10:45:31.8197757Z test_submodule_attribute_serialization (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT S test_jit.py line 15529 2022-12-01T10:45:31.8197818Z due to: 2022-12-01T10:45:31.8197906Z Traceback (most recent call last): 2022-12-01T10:45:31.8198044Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8198123Z raise Unsupported(msg) 2022-12-01T10:45:31.8198242Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8198247Z 2022-12-01T10:45:31.8198313Z from user code: 2022-12-01T10:45:31.8198401Z File "test_jit.py", line 15529, in S 2022-12-01T10:45:31.8198498Z class S(torch.jit.ScriptModule): 2022-12-01T10:45:31.8198503Z 2022-12-01T10:45:31.8198631Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8198680Z ========== 2022-12-01T10:45:31.8198883Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 15539 2022-12-01T10:45:31.8198945Z due to: 2022-12-01T10:45:31.8199032Z Traceback (most recent call last): 2022-12-01T10:45:31.8199182Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8199260Z raise Unsupported(msg) 2022-12-01T10:45:31.8199417Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8199422Z 2022-12-01T10:45:31.8199487Z from user code: 2022-12-01T10:45:31.8199565Z File "test_jit.py", line 15539, in M 2022-12-01T10:45:31.8199661Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8199666Z 2022-12-01T10:45:31.8199791Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8199850Z ========== 2022-12-01T10:45:31.8200063Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15540 2022-12-01T10:45:31.8200122Z due to: 2022-12-01T10:45:31.8200209Z Traceback (most recent call last): 2022-12-01T10:45:31.8200393Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8200518Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8200679Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8200686Z 2022-12-01T10:45:31.8200752Z from user code: 2022-12-01T10:45:31.8200847Z File "test_jit.py", line 15541, in __init__ 2022-12-01T10:45:31.8200924Z super(M, self).__init__() 2022-12-01T10:45:31.8200929Z 2022-12-01T10:45:31.8201055Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8201115Z ========== 2022-12-01T10:45:31.8201317Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 15530 2022-12-01T10:45:31.8201376Z due to: 2022-12-01T10:45:31.8201463Z Traceback (most recent call last): 2022-12-01T10:45:31.8201626Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8201751Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8201909Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8201914Z 2022-12-01T10:45:31.8201980Z from user code: 2022-12-01T10:45:31.8202066Z File "test_jit.py", line 15531, in __init__ 2022-12-01T10:45:31.8202147Z super(S, self).__init__() 2022-12-01T10:45:31.8202152Z 2022-12-01T10:45:31.8202279Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8202337Z ========== 2022-12-01T10:45:31.8202400Z ok (0.039s) 2022-12-01T10:45:31.8202690Z test_submodule_twice (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 4088 2022-12-01T10:45:31.8202751Z due to: 2022-12-01T10:45:31.8202840Z Traceback (most recent call last): 2022-12-01T10:45:31.8202995Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8203116Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8203277Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8203282Z 2022-12-01T10:45:31.8203348Z from user code: 2022-12-01T10:45:31.8203439Z File "test_jit.py", line 4089, in __init__ 2022-12-01T10:45:31.8203518Z super(What, self).__init__() 2022-12-01T10:45:31.8203525Z 2022-12-01T10:45:31.8203651Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8203711Z ========== 2022-12-01T10:45:31.8203764Z ok (0.070s) 2022-12-01T10:45:31.8204057Z test_sum (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5374 2022-12-01T10:45:31.8204119Z due to: 2022-12-01T10:45:31.8204206Z Traceback (most recent call last): 2022-12-01T10:45:31.8204362Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8204474Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8204776Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8204780Z 2022-12-01T10:45:31.8204838Z from user code: 2022-12-01T10:45:31.8204951Z File "test_jit.py", line 5379, in 2022-12-01T10:45:31.8205163Z self.run_pass('constant_propagation', func.graph) 2022-12-01T10:45:31.8205168Z 2022-12-01T10:45:31.8205295Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8205355Z ========== 2022-12-01T10:45:31.8205419Z ok (0.714s) 2022-12-01T10:45:31.8205535Z test_sum_list_diff_elms (__main__.TestScript) ... ok (0.081s) 2022-12-01T10:45:31.8205648Z test_sum_list_empty (__main__.TestScript) ... ok (0.045s) 2022-12-01T10:45:31.8205751Z test_sum_list_literal (__main__.TestScript) ... ok (0.044s) 2022-12-01T10:45:31.8205857Z test_sum_list_one (__main__.TestScript) ... ok (0.044s) 2022-12-01T10:45:31.8205977Z test_sum_list_wrong_type (__main__.TestScript) ... ok (0.033s) 2022-12-01T10:45:31.8206130Z test_sys_stdout_override (__main__.TestScript) ... ok (0.064s) 2022-12-01T10:45:31.8206414Z test_tensor_as_tensor_shape_prop (__main__.TestScript) ... skip: Simple Executor doesn't have any shapes to propagate (0.002s) 2022-12-01T10:45:31.8206521Z test_tensor_data (__main__.TestScript) ... ok (0.154s) 2022-12-01T10:45:31.8206669Z test_tensor_device (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-12-01T10:45:31.8206777Z test_tensor_dtype (__main__.TestScript) ... ok (0.545s) 2022-12-01T10:45:31.8206875Z test_tensor_grad (__main__.TestScript) ... ok (0.170s) 2022-12-01T10:45:31.8207353Z test_tensor_import_export (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 15379 2022-12-01T10:45:31.8207415Z due to: 2022-12-01T10:45:31.8207506Z Traceback (most recent call last): 2022-12-01T10:45:31.8207665Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8207784Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8208083Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8208091Z 2022-12-01T10:45:31.8208161Z from user code: 2022-12-01T10:45:31.8208286Z File "test_jit.py", line 15386, in 2022-12-01T10:45:31.8208526Z self.run_pass('constant_propagation', foo.graph) 2022-12-01T10:45:31.8208532Z 2022-12-01T10:45:31.8208661Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8208722Z ========== 2022-12-01T10:45:31.8208783Z ok (0.055s) 2022-12-01T10:45:31.8208892Z test_tensor_len (__main__.TestScript) ... ok (0.055s) 2022-12-01T10:45:31.8209182Z test_tensor_number_math (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test test_jit.py line 7251 2022-12-01T10:45:31.8209232Z due to: 2022-12-01T10:45:31.8209326Z Traceback (most recent call last): 2022-12-01T10:45:31.8209491Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.8209564Z assert not kwargs 2022-12-01T10:45:31.8209636Z AssertionError 2022-12-01T10:45:31.8209642Z 2022-12-01T10:45:31.8209711Z from user code: 2022-12-01T10:45:31.8209803Z File "test_jit.py", line 7256, in test 2022-12-01T10:45:31.8209920Z code = template.format(lhs=args[0], rhs=args[1], op=op) 2022-12-01T10:45:31.8209925Z 2022-12-01T10:45:31.8210041Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8210100Z ========== 2022-12-01T10:45:31.8210165Z ok (3.565s) 2022-12-01T10:45:31.8210300Z test_tensor_number_math_cuda (__main__.TestScript) ... skip: No CUDA (0.000s) 2022-12-01T10:45:31.8210453Z test_tensor_requires_grad (__main__.TestScript) ... skip: testing legacy behavior (0.001s) 2022-12-01T10:45:31.8210569Z test_tensor_shape (__main__.TestScript) ... ok (0.086s) 2022-12-01T10:45:31.8210885Z test_tensor_subclasses (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensor_subclasses test_jit.py line 3760 2022-12-01T10:45:31.8210950Z due to: 2022-12-01T10:45:31.8211028Z Traceback (most recent call last): 2022-12-01T10:45:31.8211248Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 232, in call_function 2022-12-01T10:45:31.8211352Z if isinstance(x.value, numpy.generic): 2022-12-01T10:45:31.8211532Z AttributeError: 'ListVariable' object has no attribute 'value' 2022-12-01T10:45:31.8211538Z 2022-12-01T10:45:31.8211605Z from user code: 2022-12-01T10:45:31.8211724Z File "test_jit.py", line 3769, in test_tensor_subclasses 2022-12-01T10:45:31.8211859Z check_subclass("torch.LongTensor", torch.LongTensor([[1, 2], [3, 4]])) 2022-12-01T10:45:31.8211864Z 2022-12-01T10:45:31.8211992Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8212042Z ========== 2022-12-01T10:45:31.8212554Z /opt/conda/lib/python3.7/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either. 2022-12-01T10:45:31.8212694Z warnings.warn("TorchScript will treat type annotations of Tensor " 2022-12-01T10:45:31.8213168Z /opt/conda/lib/python3.7/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either. 2022-12-01T10:45:31.8213299Z warnings.warn("TorchScript will treat type annotations of Tensor " 2022-12-01T10:45:31.8213757Z /opt/conda/lib/python3.7/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either. 2022-12-01T10:45:31.8213891Z warnings.warn("TorchScript will treat type annotations of Tensor " 2022-12-01T10:45:31.8214346Z /opt/conda/lib/python3.7/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either. 2022-12-01T10:45:31.8214479Z warnings.warn("TorchScript will treat type annotations of Tensor " 2022-12-01T10:45:31.8214539Z ok (0.218s) 2022-12-01T10:45:31.8214837Z test_tensor_to (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 7543 2022-12-01T10:45:31.8214897Z due to: 2022-12-01T10:45:31.8214988Z Traceback (most recent call last): 2022-12-01T10:45:31.8215151Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.8215222Z assert not kwargs 2022-12-01T10:45:31.8215290Z AssertionError 2022-12-01T10:45:31.8215295Z 2022-12-01T10:45:31.8215363Z from user code: 2022-12-01T10:45:31.8215475Z File "test_jit.py", line 7576, in 2022-12-01T10:45:31.8215550Z test_copy_behavior(t) 2022-12-01T10:45:31.8215554Z 2022-12-01T10:45:31.8215682Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8215747Z ========== 2022-12-01T10:45:31.8215977Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_copy_behavior test_jit.py line 7554 2022-12-01T10:45:31.8216041Z due to: 2022-12-01T10:45:31.8216129Z Traceback (most recent call last): 2022-12-01T10:45:31.8216280Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.8216357Z assert not kwargs 2022-12-01T10:45:31.8216429Z AssertionError 2022-12-01T10:45:31.8216434Z 2022-12-01T10:45:31.8216503Z from user code: 2022-12-01T10:45:31.8216610Z File "test_jit.py", line 7555, in test_copy_behavior 2022-12-01T10:45:31.8216809Z self.assertIs(t, s(t, 't.to(t, non_blocking=non_blocking)', non_blocking)) 2022-12-01T10:45:31.8216814Z 2022-12-01T10:45:31.8216941Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8216999Z ========== 2022-12-01T10:45:31.8217189Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT s test_jit.py line 7545 2022-12-01T10:45:31.8217318Z due to: 2022-12-01T10:45:31.8217407Z Traceback (most recent call last): 2022-12-01T10:45:31.8217570Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.8217643Z assert not kwargs 2022-12-01T10:45:31.8217713Z AssertionError 2022-12-01T10:45:31.8217718Z 2022-12-01T10:45:31.8217783Z from user code: 2022-12-01T10:45:31.8217861Z File "test_jit.py", line 7549, in s 2022-12-01T10:45:31.8218018Z code = template.format(to_str=to_str, device=device, non_blocking=non_blocking, cuda=cuda) 2022-12-01T10:45:31.8218023Z 2022-12-01T10:45:31.8218151Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8218243Z ========== 2022-12-01T10:45:31.8218310Z ok (0.119s) 2022-12-01T10:45:31.8218424Z test_tensor_to_cpu (__main__.TestScript) ... ok (0.129s) 2022-12-01T10:45:31.8218572Z test_tensor_to_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-12-01T10:45:31.8218722Z test_tensor_to_device (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-12-01T10:45:31.8218819Z test_ternary (__main__.TestScript) ... ok (1.010s) 2022-12-01T10:45:31.8218943Z test_ternary_module_type_hint (__main__.TestScript) ... ok (0.049s) 2022-12-01T10:45:31.8219074Z test_ternary_right_associative (__main__.TestScript) ... ok (0.046s) 2022-12-01T10:45:31.8219357Z test_ternary_static_if (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M1 test_jit.py line 6729 2022-12-01T10:45:31.8219420Z due to: 2022-12-01T10:45:31.8219507Z Traceback (most recent call last): 2022-12-01T10:45:31.8219655Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8219735Z raise Unsupported(msg) 2022-12-01T10:45:31.8219845Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8219850Z 2022-12-01T10:45:31.8219916Z from user code: 2022-12-01T10:45:31.8220004Z File "test_jit.py", line 6729, in M1 2022-12-01T10:45:31.8220092Z class M1(torch.nn.Module): 2022-12-01T10:45:31.8220096Z 2022-12-01T10:45:31.8220225Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8220283Z ========== 2022-12-01T10:45:31.8220484Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT M2 test_jit.py line 6741 2022-12-01T10:45:31.8220534Z due to: 2022-12-01T10:45:31.8220622Z Traceback (most recent call last): 2022-12-01T10:45:31.8220770Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8220850Z raise Unsupported(msg) 2022-12-01T10:45:31.8220969Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8220973Z 2022-12-01T10:45:31.8221039Z from user code: 2022-12-01T10:45:31.8221127Z File "test_jit.py", line 6741, in M2 2022-12-01T10:45:31.8221201Z class M2(torch.nn.Module): 2022-12-01T10:45:31.8221215Z 2022-12-01T10:45:31.8221332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8221392Z ========== 2022-12-01T10:45:31.8221457Z ok (0.077s) 2022-12-01T10:45:31.8221563Z test_torch_any (__main__.TestScript) ... ok (0.455s) 2022-12-01T10:45:31.8221724Z test_torch_functional (__main__.TestScript) ... skip: Skipping while landing PR stack (0.003s) 2022-12-01T10:45:31.8221853Z test_torch_functional_tensordot_int (__main__.TestScript) ... ok (0.129s) 2022-12-01T10:45:31.8226850Z test_torch_functional_tensordot_list (__main__.TestScript) ... ok (0.099s) 2022-12-01T10:45:31.8227232Z test_torch_functional_tensordot_tensor (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT tensordot_dims_tensor line 1 2022-12-01T10:45:31.8227302Z due to: 2022-12-01T10:45:31.8227397Z Traceback (most recent call last): 2022-12-01T10:45:31.8227641Z File "/opt/conda/lib/python3.7/site-packages/torch/functional.py", line 1076, in tensordot 2022-12-01T10:45:31.8227753Z dims_a = torch.jit.annotate(List[int], dims[0].tolist()) 2022-12-01T10:45:31.8227884Z RuntimeError: .tolist() is not supported for tensor subclasses. 2022-12-01T10:45:31.8227965Z 2022-12-01T10:45:31.8228099Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8228105Z 2022-12-01T10:45:31.8228196Z Traceback (most recent call last): 2022-12-01T10:45:31.8228351Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8228447Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8228556Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8228561Z 2022-12-01T10:45:31.8228630Z from user code: 2022-12-01T10:45:31.8228726Z File "", line 2, in tensordot_dims_tensor 2022-12-01T10:45:31.8228731Z 2022-12-01T10:45:31.8228896Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8228958Z ========== 2022-12-01T10:45:31.8229199Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tensordot_dims_tensor test_jit.py line 9230 2022-12-01T10:45:31.8229261Z due to: 2022-12-01T10:45:31.8229349Z Traceback (most recent call last): 2022-12-01T10:45:31.8229580Z File "/opt/conda/lib/python3.7/site-packages/torch/functional.py", line 1076, in tensordot 2022-12-01T10:45:31.8229697Z dims_a = torch.jit.annotate(List[int], dims[0].tolist()) 2022-12-01T10:45:31.8229814Z RuntimeError: .tolist() is not supported for tensor subclasses. 2022-12-01T10:45:31.8229818Z 2022-12-01T10:45:31.8229950Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8229955Z 2022-12-01T10:45:31.8230042Z Traceback (most recent call last): 2022-12-01T10:45:31.8230192Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:45:31.8230284Z raise TorchRuntimeError() from e 2022-12-01T10:45:31.8230392Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:45:31.8230397Z 2022-12-01T10:45:31.8230464Z from user code: 2022-12-01T10:45:31.8230578Z File "test_jit.py", line 9231, in tensordot_dims_tensor 2022-12-01T10:45:31.8230667Z return torch.tensordot(a, b, dims=dims) 2022-12-01T10:45:31.8230674Z 2022-12-01T10:45:31.8230800Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8230858Z ========== 2022-12-01T10:45:31.8230919Z ok (0.136s) 2022-12-01T10:45:31.8231058Z test_torch_functional_tensordot_tuple (__main__.TestScript) ... ok (0.057s) 2022-12-01T10:45:31.8231365Z test_torch_ignore_conversion_to_none (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT A test_jit.py line 10957 2022-12-01T10:45:31.8231427Z due to: 2022-12-01T10:45:31.8231505Z Traceback (most recent call last): 2022-12-01T10:45:31.8231654Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8231736Z raise Unsupported(msg) 2022-12-01T10:45:31.8231857Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8231862Z 2022-12-01T10:45:31.8231929Z from user code: 2022-12-01T10:45:31.8232018Z File "test_jit.py", line 10957, in A 2022-12-01T10:45:31.8232102Z class A(torch.nn.Module): 2022-12-01T10:45:31.8232110Z 2022-12-01T10:45:31.8232239Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8232288Z ========== 2022-12-01T10:45:31.8232493Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT B test_jit.py line 10972 2022-12-01T10:45:31.8232554Z due to: 2022-12-01T10:45:31.8232639Z Traceback (most recent call last): 2022-12-01T10:45:31.8232785Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8232866Z raise Unsupported(msg) 2022-12-01T10:45:31.8232985Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8232990Z 2022-12-01T10:45:31.8233046Z from user code: 2022-12-01T10:45:31.8233134Z File "test_jit.py", line 10972, in B 2022-12-01T10:45:31.8233216Z class B(torch.nn.Module): 2022-12-01T10:45:31.8233220Z 2022-12-01T10:45:31.8233346Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8233406Z ========== 2022-12-01T10:45:31.8233469Z ok (0.051s) 2022-12-01T10:45:31.8233618Z test_torch_manual_seed (__main__.TestScript) ... ok (0.047s) 2022-12-01T10:45:31.8233727Z test_torch_pow (__main__.TestScript) ... ok (0.884s) 2022-12-01T10:45:31.8234271Z test_torch_tensor_as_tensor (__main__.TestScript) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:471: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:250.) 2022-12-01T10:45:31.8234359Z return callable(*args, **kwargs) 2022-12-01T10:45:31.8234421Z ok (9.220s) 2022-12-01T10:45:31.8234832Z test_torch_tensor_as_tensor_empty_list (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 7321 2022-12-01T10:45:31.8234897Z due to: 2022-12-01T10:45:31.8234985Z Traceback (most recent call last): 2022-12-01T10:45:31.8235145Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.8235218Z assert not kwargs 2022-12-01T10:45:31.8235277Z AssertionError 2022-12-01T10:45:31.8235282Z 2022-12-01T10:45:31.8235346Z from user code: 2022-12-01T10:45:31.8235491Z File "test_jit.py", line 7327, in 2022-12-01T10:45:31.8235613Z code = tensor_template.format(tensor_op=op, input=inp) 2022-12-01T10:45:31.8235618Z 2022-12-01T10:45:31.8235747Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8235809Z ========== 2022-12-01T10:45:31.8235870Z ok (0.121s) 2022-12-01T10:45:31.8235982Z test_torch_tensor_bad_input (__main__.TestScript) ... ok (0.050s) 2022-12-01T10:45:31.8236100Z test_torch_tensor_dtype (__main__.TestScript) ... ok (0.099s) 2022-12-01T10:45:31.8236467Z test_torchscript_memoryformat (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 15071 2022-12-01T10:45:31.8236527Z due to: 2022-12-01T10:45:31.8236619Z Traceback (most recent call last): 2022-12-01T10:45:31.8236778Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:45:31.8236892Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:45:31.8237010Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:45:31.8237015Z 2022-12-01T10:45:31.8237071Z from user code: 2022-12-01T10:45:31.8237210Z File "test_jit.py", line 15072, in 2022-12-01T10:45:31.8237343Z self.assertTrue(y.is_contiguous(memory_format=torch.channels_last)) 2022-12-01T10:45:31.8237348Z 2022-12-01T10:45:31.8237476Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8237538Z ========== 2022-12-01T10:45:31.8237600Z ok (0.073s) 2022-12-01T10:45:31.8237727Z test_torchscript_multi_head_attn (__main__.TestScript) ... ok (0.236s) 2022-12-01T10:45:31.8238235Z test_torchscript_multi_head_attn_fast_path (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 15152 2022-12-01T10:45:31.8238291Z due to: 2022-12-01T10:45:31.8238378Z Traceback (most recent call last): 2022-12-01T10:45:31.8238604Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.8238788Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.8238978Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.8238982Z 2022-12-01T10:45:31.8239048Z from user code: 2022-12-01T10:45:31.8239206Z File "test_jit.py", line 15153, in 2022-12-01T10:45:31.8239291Z jit_out = mha(query, key, value) 2022-12-01T10:45:31.8239296Z 2022-12-01T10:45:31.8239422Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8239471Z ========== 2022-12-01T10:45:31.8239573Z ok (0.239s) 2022-12-01T10:45:31.8239859Z test_training_param (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT What test_jit.py line 4095 2022-12-01T10:45:31.8239918Z due to: 2022-12-01T10:45:31.8240007Z Traceback (most recent call last): 2022-12-01T10:45:31.8240152Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8240233Z raise Unsupported(msg) 2022-12-01T10:45:31.8240343Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8240348Z 2022-12-01T10:45:31.8240415Z from user code: 2022-12-01T10:45:31.8240504Z File "test_jit.py", line 4095, in What 2022-12-01T10:45:31.8240637Z class What(torch.jit.ScriptModule): 2022-12-01T10:45:31.8240643Z 2022-12-01T10:45:31.8240771Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8240828Z ========== 2022-12-01T10:45:31.8241036Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 4096 2022-12-01T10:45:31.8241089Z due to: 2022-12-01T10:45:31.8241177Z Traceback (most recent call last): 2022-12-01T10:45:31.8241343Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8241465Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8241626Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8241631Z 2022-12-01T10:45:31.8241700Z from user code: 2022-12-01T10:45:31.8241794Z File "test_jit.py", line 4097, in __init__ 2022-12-01T10:45:31.8241876Z super(What, self).__init__() 2022-12-01T10:45:31.8241881Z 2022-12-01T10:45:31.8241998Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8242059Z ========== 2022-12-01T10:45:31.8242122Z ok (0.025s) 2022-12-01T10:45:31.8242242Z test_tuple_assignments (__main__.TestScript) ... ok (1.067s) 2022-12-01T10:45:31.8242355Z test_tuple_error_msg (__main__.TestScript) ... ok (0.068s) 2022-12-01T10:45:31.8242475Z test_tuple_index_to_list (__main__.TestScript) ... ok (0.109s) 2022-12-01T10:45:31.8242808Z test_tuple_indexing (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 12762 2022-12-01T10:45:31.8242859Z due to: 2022-12-01T10:45:31.8242948Z Traceback (most recent call last): 2022-12-01T10:45:31.8243103Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8243348Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8243592Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8243600Z 2022-12-01T10:45:31.8243666Z from user code: 2022-12-01T10:45:31.8243795Z File "test_jit.py", line 12763, in 2022-12-01T10:45:31.8243943Z FileCheck().check_count("TupleIndex", 2, exactly=True).run(str(tuple_comp.graph)) 2022-12-01T10:45:31.8243951Z 2022-12-01T10:45:31.8244078Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8244127Z ========== 2022-12-01T10:45:31.8244189Z ok (0.207s) 2022-12-01T10:45:31.8244298Z test_tuple_len (__main__.TestScript) ... ok (0.180s) 2022-12-01T10:45:31.8244414Z test_tuple_nested_sort (__main__.TestScript) ... ok (0.044s) 2022-12-01T10:45:31.8244519Z test_tuple_sort (__main__.TestScript) ... ok (0.043s) 2022-12-01T10:45:31.8244637Z test_tuple_sort_reverse (__main__.TestScript) ... ok (0.041s) 2022-12-01T10:45:31.8244748Z test_tuple_sorted (__main__.TestScript) ... ok (0.041s) 2022-12-01T10:45:31.8244852Z test_tuple_to_opt_list (__main__.TestScript) ... ok (0.112s) 2022-12-01T10:45:31.8245200Z test_tuple_unsortable_diff_type (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tuple_unsortable_diff_type test_jit.py line 4895 2022-12-01T10:45:31.8245261Z due to: 2022-12-01T10:45:31.8245350Z Traceback (most recent call last): 2022-12-01T10:45:31.8245544Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8245666Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8245826Z NotImplementedError: UserDefinedObjectVariable(_SpecialForm) is not a constant 2022-12-01T10:45:31.8245831Z 2022-12-01T10:45:31.8245898Z from user code: 2022-12-01T10:45:31.8246012Z File "test_jit.py", line 4897, in test_tuple_unsortable_diff_type 2022-12-01T10:45:31.8246093Z def foo(inputs: List[Any]): 2022-12-01T10:45:31.8246098Z 2022-12-01T10:45:31.8246223Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8246283Z ========== 2022-12-01T10:45:31.8246375Z ok (0.007s) 2022-12-01T10:45:31.8246506Z test_tuple_unsortable_element_type (__main__.TestScript) ... ok (0.087s) 2022-12-01T10:45:31.8246872Z test_tuple_unsortable_nested_diff_type (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tuple_unsortable_nested_diff_type test_jit.py line 4913 2022-12-01T10:45:31.8247063Z due to: 2022-12-01T10:45:31.8247145Z Traceback (most recent call last): 2022-12-01T10:45:31.8247314Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8247436Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8247596Z NotImplementedError: UserDefinedObjectVariable(_SpecialForm) is not a constant 2022-12-01T10:45:31.8247602Z 2022-12-01T10:45:31.8247669Z from user code: 2022-12-01T10:45:31.8247798Z File "test_jit.py", line 4915, in test_tuple_unsortable_nested_diff_type 2022-12-01T10:45:31.8247880Z def foo(inputs: List[Any]): 2022-12-01T10:45:31.8247887Z 2022-12-01T10:45:31.8248013Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8248063Z ========== 2022-12-01T10:45:31.8248125Z ok (0.007s) 2022-12-01T10:45:31.8248237Z test_type_annotate (__main__.TestScript) ... ok (0.297s) 2022-12-01T10:45:31.8248616Z test_type_annotation_module (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT BaseModule test_jit.py line 10390 2022-12-01T10:45:31.8248678Z due to: 2022-12-01T10:45:31.8248768Z Traceback (most recent call last): 2022-12-01T10:45:31.8248920Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8248990Z raise Unsupported(msg) 2022-12-01T10:45:31.8249109Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8249115Z 2022-12-01T10:45:31.8249181Z from user code: 2022-12-01T10:45:31.8249282Z File "test_jit.py", line 10390, in BaseModule 2022-12-01T10:45:31.8249396Z class BaseModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.8249405Z 2022-12-01T10:45:31.8249533Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8249594Z ========== 2022-12-01T10:45:31.8249822Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleTooMany test_jit.py line 10405 2022-12-01T10:45:31.8249876Z due to: 2022-12-01T10:45:31.8249966Z Traceback (most recent call last): 2022-12-01T10:45:31.8250116Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8250199Z raise Unsupported(msg) 2022-12-01T10:45:31.8250321Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8250326Z 2022-12-01T10:45:31.8250395Z from user code: 2022-12-01T10:45:31.8250505Z File "test_jit.py", line 10405, in ModuleTooMany 2022-12-01T10:45:31.8250587Z class ModuleTooMany(BaseModule): 2022-12-01T10:45:31.8250592Z 2022-12-01T10:45:31.8250720Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8250782Z ========== 2022-12-01T10:45:31.8251009Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleTooFew test_jit.py line 10410 2022-12-01T10:45:31.8251073Z due to: 2022-12-01T10:45:31.8251161Z Traceback (most recent call last): 2022-12-01T10:45:31.8251309Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8251451Z raise Unsupported(msg) 2022-12-01T10:45:31.8251571Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8251576Z 2022-12-01T10:45:31.8251644Z from user code: 2022-12-01T10:45:31.8251746Z File "test_jit.py", line 10410, in ModuleTooFew 2022-12-01T10:45:31.8251838Z class ModuleTooFew(BaseModule): 2022-12-01T10:45:31.8251842Z 2022-12-01T10:45:31.8251970Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8252028Z ========== 2022-12-01T10:45:31.8252270Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleTooManyAssign test_jit.py line 10415 2022-12-01T10:45:31.8252320Z due to: 2022-12-01T10:45:31.8252410Z Traceback (most recent call last): 2022-12-01T10:45:31.8252600Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8252681Z raise Unsupported(msg) 2022-12-01T10:45:31.8252801Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8252806Z 2022-12-01T10:45:31.8252875Z from user code: 2022-12-01T10:45:31.8252991Z File "test_jit.py", line 10415, in ModuleTooManyAssign 2022-12-01T10:45:31.8253085Z class ModuleTooManyAssign(BaseModule): 2022-12-01T10:45:31.8253101Z 2022-12-01T10:45:31.8253216Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8253279Z ========== 2022-12-01T10:45:31.8253509Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleDefault test_jit.py line 10421 2022-12-01T10:45:31.8253569Z due to: 2022-12-01T10:45:31.8253659Z Traceback (most recent call last): 2022-12-01T10:45:31.8253804Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8253882Z raise Unsupported(msg) 2022-12-01T10:45:31.8253993Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8253998Z 2022-12-01T10:45:31.8254063Z from user code: 2022-12-01T10:45:31.8254167Z File "test_jit.py", line 10421, in ModuleDefault 2022-12-01T10:45:31.8254258Z class ModuleDefault(BaseModule): 2022-12-01T10:45:31.8254265Z 2022-12-01T10:45:31.8254390Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8254448Z ========== 2022-12-01T10:45:31.8254513Z ok (0.033s) 2022-12-01T10:45:31.8254625Z test_type_annotation_py3 (__main__.TestScript) ... ok (0.109s) 2022-12-01T10:45:31.8254743Z test_type_annotations (__main__.TestScript) ... ok (0.162s) 2022-12-01T10:45:31.8254928Z test_type_annotations_repeated_list (__main__.TestScript) ... skip: TorchDynamo fails with unknown reason (0.002s) 2022-12-01T10:45:31.8255055Z test_type_annotations_varargs (__main__.TestScript) ... ok (0.392s) 2022-12-01T10:45:31.8255171Z test_type_call_in_script (__main__.TestScript) ... ok (0.755s) 2022-12-01T10:45:31.8255279Z test_type_cast (__main__.TestScript) ... ok (0.086s) 2022-12-01T10:45:31.8255397Z test_type_comments_in_body (__main__.TestScript) ... ok (0.088s) 2022-12-01T10:45:31.8255520Z test_type_inferred_from_empty_annotation (__main__.TestScript) 2022-12-01T10:45:31.8255966Z Test that the type inferred from an empty or missing annotation is Torch.Tensor wtih `inferred=true` ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 10440 2022-12-01T10:45:31.8256029Z due to: 2022-12-01T10:45:31.8256117Z Traceback (most recent call last): 2022-12-01T10:45:31.8256276Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8256392Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8256690Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8256698Z 2022-12-01T10:45:31.8256764Z from user code: 2022-12-01T10:45:31.8256920Z File "test_jit.py", line 10444, in 2022-12-01T10:45:31.8256980Z graph = fn.graph 2022-12-01T10:45:31.8256996Z 2022-12-01T10:45:31.8257148Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8257210Z ========== 2022-12-01T10:45:31.8257275Z ok (0.059s) 2022-12-01T10:45:31.8257493Z test_unbind (__main__.TestScript) ... skip: Profiling executor will be using different heuristics for constructing differentiable graphs (0.001s) 2022-12-01T10:45:31.8257821Z test_unfold_zero_dim (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11323 2022-12-01T10:45:31.8257881Z due to: 2022-12-01T10:45:31.8257973Z Traceback (most recent call last): 2022-12-01T10:45:31.8258122Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8258268Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8258568Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8258573Z 2022-12-01T10:45:31.8258641Z from user code: 2022-12-01T10:45:31.8258770Z File "test_jit.py", line 11323, in 2022-12-01T10:45:31.8258864Z graph = torch.jit.script(fn).graph 2022-12-01T10:45:31.8258869Z 2022-12-01T10:45:31.8258994Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8259054Z ========== 2022-12-01T10:45:31.8259106Z ok (0.072s) 2022-12-01T10:45:31.8259225Z test_unicode_comments (__main__.TestScript) ... ok (0.056s) 2022-12-01T10:45:31.8259528Z test_uninitialized (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_uninitialized test_jit.py line 5660 2022-12-01T10:45:31.8259587Z due to: 2022-12-01T10:45:31.8259675Z Traceback (most recent call last): 2022-12-01T10:45:31.8259827Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8260075Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8260381Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.8260387Z 2022-12-01T10:45:31.8260444Z from user code: 2022-12-01T10:45:31.8260553Z File "test_jit.py", line 5667, in test_uninitialized 2022-12-01T10:45:31.8260630Z g = parse_ir(graph_str) 2022-12-01T10:45:31.8260635Z 2022-12-01T10:45:31.8260760Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8260820Z ========== 2022-12-01T10:45:31.8260883Z ok (0.008s) 2022-12-01T10:45:31.8261213Z test_union_to_number (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 11450 2022-12-01T10:45:31.8261275Z due to: 2022-12-01T10:45:31.8261353Z Traceback (most recent call last): 2022-12-01T10:45:31.8261504Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8261747Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8261990Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8261995Z 2022-12-01T10:45:31.8262061Z from user code: 2022-12-01T10:45:31.8262188Z File "test_jit.py", line 11452, in 2022-12-01T10:45:31.8262292Z FileCheck().check(": Scalar):").run(fn.graph) 2022-12-01T10:45:31.8262297Z 2022-12-01T10:45:31.8262421Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8262472Z ========== 2022-12-01T10:45:31.8262535Z ok (0.092s) 2022-12-01T10:45:31.8262654Z test_unknown_builtin (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.8262782Z test_unmatched_type_annotation (__main__.TestScript) ... ok (0.053s) 2022-12-01T10:45:31.8262908Z test_unspecialized_any_binding (__main__.TestScript) ... ok (0.108s) 2022-12-01T10:45:31.8263076Z test_unsqueeze_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-12-01T10:45:31.8263238Z test_unsupported_builtin_error (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.8263531Z test_unused_decorator (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyMod test_jit.py line 3523 2022-12-01T10:45:31.8263582Z due to: 2022-12-01T10:45:31.8263670Z Traceback (most recent call last): 2022-12-01T10:45:31.8263816Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8263896Z raise Unsupported(msg) 2022-12-01T10:45:31.8264016Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8264021Z 2022-12-01T10:45:31.8264114Z from user code: 2022-12-01T10:45:31.8264208Z File "test_jit.py", line 3523, in MyMod 2022-12-01T10:45:31.8264286Z class MyMod(torch.nn.Module): 2022-12-01T10:45:31.8264291Z 2022-12-01T10:45:31.8264420Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8264481Z ========== 2022-12-01T10:45:31.8264547Z ok (0.033s) 2022-12-01T10:45:31.8264834Z test_unwrap_optional_builtin (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test line 1 2022-12-01T10:45:31.8264895Z due to: 2022-12-01T10:45:31.8264982Z Traceback (most recent call last): 2022-12-01T10:45:31.8265136Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8265374Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8265640Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:45:31.8265645Z 2022-12-01T10:45:31.8265713Z from user code: 2022-12-01T10:45:31.8265796Z File "", line 3, in test 2022-12-01T10:45:31.8265801Z 2022-12-01T10:45:31.8265927Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8265985Z ========== 2022-12-01T10:45:31.8266193Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test test_jit.py line 12851 2022-12-01T10:45:31.8266253Z due to: 2022-12-01T10:45:31.8266331Z Traceback (most recent call last): 2022-12-01T10:45:31.8266483Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8266727Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8266992Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:45:31.8266997Z 2022-12-01T10:45:31.8267064Z from user code: 2022-12-01T10:45:31.8267152Z File "test_jit.py", line 12853, in test 2022-12-01T10:45:31.8267243Z x = torch.jit._unwrap_optional(x) 2022-12-01T10:45:31.8267248Z 2022-12-01T10:45:31.8267376Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8267425Z ========== 2022-12-01T10:45:31.8267488Z ok (0.101s) 2022-12-01T10:45:31.8267604Z test_var_aug_assign (__main__.TestScript) ... ok (0.086s) 2022-12-01T10:45:31.8267718Z test_vararg_zeros (__main__.TestScript) ... ok (0.070s) 2022-12-01T10:45:31.8268100Z test_view_listconstruct_shape_prop (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit.py line 5732 2022-12-01T10:45:31.8268160Z due to: 2022-12-01T10:45:31.8268247Z Traceback (most recent call last): 2022-12-01T10:45:31.8268398Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8268514Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8268814Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8268819Z 2022-12-01T10:45:31.8268886Z from user code: 2022-12-01T10:45:31.8269035Z File "test_jit.py", line 5733, in 2022-12-01T10:45:31.8269177Z graph = _propagate_shapes(fn.graph, (x,), False) 2022-12-01T10:45:31.8269181Z 2022-12-01T10:45:31.8269307Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8269365Z ========== 2022-12-01T10:45:31.8269418Z ok (0.063s) 2022-12-01T10:45:31.8269729Z test_view_shape_prop (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_view_shape_prop test_jit.py line 5713 2022-12-01T10:45:31.8269795Z due to: 2022-12-01T10:45:31.8269883Z Traceback (most recent call last): 2022-12-01T10:45:31.8270035Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8270307Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8270586Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8270591Z 2022-12-01T10:45:31.8270658Z from user code: 2022-12-01T10:45:31.8270762Z File "test_jit.py", line 5717, in test_view_shape_prop 2022-12-01T10:45:31.8270842Z ''') 2022-12-01T10:45:31.8270847Z 2022-12-01T10:45:31.8270973Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8271034Z ========== 2022-12-01T10:45:31.8271096Z ok (0.004s) 2022-12-01T10:45:31.8271202Z test_view_write (__main__.TestScript) ... ok (0.096s) 2022-12-01T10:45:31.8271321Z test_weak_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-12-01T10:45:31.8271423Z test_where (__main__.TestScript) ... ok (0.091s) 2022-12-01T10:45:31.8271522Z test_where_method (__main__.TestScript) ... ok (0.091s) 2022-12-01T10:45:31.8271624Z test_while (__main__.TestScript) ... ok (0.298s) 2022-12-01T10:45:31.8271785Z test_while_nest_if (__main__.TestScript) ... skip: TorchDynamo fails with unknown reason (0.001s) 2022-12-01T10:45:31.8271915Z test_while_nonexistent_cond_value (__main__.TestScript) ... ok (0.070s) 2022-12-01T10:45:31.8272041Z test_while_nonexistent_value (__main__.TestScript) ... ok (0.035s) 2022-12-01T10:45:31.8272165Z test_while_write_outer_then_read (__main__.TestScript) ... ok (0.895s) 2022-12-01T10:45:31.8272280Z test_wrong_attr_lookup (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.8272391Z test_wrong_implicit_expand (__main__.TestScript) ... ok (0.112s) 2022-12-01T10:45:31.8272699Z test_wrong_method_call_inputs (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT SomeModule test_jit.py line 12323 2022-12-01T10:45:31.8272762Z due to: 2022-12-01T10:45:31.8272847Z Traceback (most recent call last): 2022-12-01T10:45:31.8272996Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8273075Z raise Unsupported(msg) 2022-12-01T10:45:31.8273193Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8273198Z 2022-12-01T10:45:31.8273264Z from user code: 2022-12-01T10:45:31.8273354Z File "test_jit.py", line 12323, in SomeModule 2022-12-01T10:45:31.8273469Z class SomeModule(torch.jit.ScriptModule): 2022-12-01T10:45:31.8273474Z 2022-12-01T10:45:31.8273600Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8273658Z ========== 2022-12-01T10:45:31.8273719Z ok (0.031s) 2022-12-01T10:45:31.8273841Z test_wrong_module_attr_lookup (__main__.TestScript) ... ok (0.029s) 2022-12-01T10:45:31.8273955Z test_wrong_return_type (__main__.TestScript) ... ok (0.047s) 2022-12-01T10:45:31.8274064Z test_wrong_use_as_callable (__main__.TestScript) ... ok (0.030s) 2022-12-01T10:45:31.8274178Z test_wrong_use_as_tuple (__main__.TestScript) ... ok (0.031s) 2022-12-01T10:45:31.8274444Z test_zeros (__main__.TestScript) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_jit.py line 11101 2022-12-01T10:45:31.8274508Z due to: 2022-12-01T10:45:31.8274595Z Traceback (most recent call last): 2022-12-01T10:45:31.8274743Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8274820Z raise Unsupported(msg) 2022-12-01T10:45:31.8274970Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8274977Z 2022-12-01T10:45:31.8275034Z from user code: 2022-12-01T10:45:31.8275120Z File "test_jit.py", line 11101, in M 2022-12-01T10:45:31.8275218Z class M(torch.jit.ScriptModule): 2022-12-01T10:45:31.8275223Z 2022-12-01T10:45:31.8275349Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8275407Z ========== 2022-12-01T10:45:31.8275619Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_jit.py line 11104 2022-12-01T10:45:31.8275681Z due to: 2022-12-01T10:45:31.8275758Z Traceback (most recent call last): 2022-12-01T10:45:31.8275948Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8276072Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8276234Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8276241Z 2022-12-01T10:45:31.8276314Z from user code: 2022-12-01T10:45:31.8276409Z File "test_jit.py", line 11105, in __init__ 2022-12-01T10:45:31.8276484Z super(M, self).__init__() 2022-12-01T10:45:31.8276489Z 2022-12-01T10:45:31.8276611Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8276660Z ========== 2022-12-01T10:45:31.8276720Z ok (0.055s) 2022-12-01T10:45:31.8276896Z test_zip_enumerate_modulelist (__main__.TestScript) ... skip: TorchDynamo fails with unknown reason (0.003s) 2022-12-01T10:45:31.8277010Z test_bool (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8277403Z Test the __bool__ method. This should return True ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _compare_eager_and_script /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2111 2022-12-01T10:45:31.8277468Z due to: 2022-12-01T10:45:31.8277557Z Traceback (most recent call last): 2022-12-01T10:45:31.8277708Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8277949Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8278214Z AssertionError: torch.* op returned non-Tensor ScriptDict call_function 2022-12-01T10:45:31.8278220Z 2022-12-01T10:45:31.8278286Z from user code: 2022-12-01T10:45:31.8278453Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2124, in _compare_eager_and_script 2022-12-01T10:45:31.8278591Z script_input_dict = script_input_dict or torch.jit.script(input_dict) 2022-12-01T10:45:31.8278596Z 2022-12-01T10:45:31.8278721Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8278785Z ========== 2022-12-01T10:45:31.8278850Z ok (0.042s) 2022-12-01T10:45:31.8278956Z test_contains (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8279313Z Test membership checks (x in y, x not in y). ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_contains /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2229 2022-12-01T10:45:31.8279377Z due to: 2022-12-01T10:45:31.8279466Z Traceback (most recent call last): 2022-12-01T10:45:31.8279616Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8279859Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8280120Z AssertionError: torch.* op returned non-Tensor ScriptDict call_function 2022-12-01T10:45:31.8280125Z 2022-12-01T10:45:31.8280191Z from user code: 2022-12-01T10:45:31.8280329Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2238, in test_contains 2022-12-01T10:45:31.8280428Z self._compare_eager_and_script(fn, data) 2022-12-01T10:45:31.8280434Z 2022-12-01T10:45:31.8280560Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8280621Z ========== 2022-12-01T10:45:31.8280681Z ok (0.006s) 2022-12-01T10:45:31.8280825Z test_delitem (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8281142Z Test deletion. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_delitem /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2247 2022-12-01T10:45:31.8281203Z due to: 2022-12-01T10:45:31.8281281Z Traceback (most recent call last): 2022-12-01T10:45:31.8281436Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8281680Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8281941Z AssertionError: torch.* op returned non-Tensor ScriptDict call_function 2022-12-01T10:45:31.8281984Z 2022-12-01T10:45:31.8282052Z from user code: 2022-12-01T10:45:31.8282198Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2259, in test_delitem 2022-12-01T10:45:31.8282304Z self._compare_eager_and_script(del_fn, data) 2022-12-01T10:45:31.8282312Z 2022-12-01T10:45:31.8282440Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8282489Z ========== 2022-12-01T10:45:31.8282552Z ok (0.007s) 2022-12-01T10:45:31.8282671Z test_getitem (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8282804Z Test accessing dictionary values using the [] operator. ... ok (0.036s) 2022-12-01T10:45:31.8282914Z test_items (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8282993Z Test .items(). ... ok (0.035s) 2022-12-01T10:45:31.8283099Z test_iter (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8283253Z Test iteration over a dictionary's keys. ... ok (0.034s) 2022-12-01T10:45:31.8283362Z test_len (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8283459Z Test len() builtin function. ... ok (0.035s) 2022-12-01T10:45:31.8283570Z test_nested (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8283802Z Test that reference semantics are honoured when the ScriptDict that is ... skip: Cannot pass until all dicts returned from TorchScript are ScriptDicts (0.001s) 2022-12-01T10:45:31.8283934Z test_reference_semantics (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8284353Z Test that reference semantics are honoured; that modifications made ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_reference_semantics /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2296 2022-12-01T10:45:31.8284414Z due to: 2022-12-01T10:45:31.8284493Z Traceback (most recent call last): 2022-12-01T10:45:31.8284648Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8284895Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8285156Z AssertionError: torch.* op returned non-Tensor ScriptDict call_function 2022-12-01T10:45:31.8285162Z 2022-12-01T10:45:31.8285232Z from user code: 2022-12-01T10:45:31.8285396Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2301, in test_reference_semantics 2022-12-01T10:45:31.8285488Z data = torch.jit.script({1: 2}) 2022-12-01T10:45:31.8285493Z 2022-12-01T10:45:31.8285619Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8285680Z ========== 2022-12-01T10:45:31.8285733Z ok (0.024s) 2022-12-01T10:45:31.8285844Z test_repr (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8285935Z Test the __repr__ method. ... ok (0.034s) 2022-12-01T10:45:31.8286048Z test_setitem (jit.test_list_dict.TestScriptDict) 2022-12-01T10:45:31.8286426Z Test setting dictionary values using the [] operator. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_setitem /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2204 2022-12-01T10:45:31.8286487Z due to: 2022-12-01T10:45:31.8286574Z Traceback (most recent call last): 2022-12-01T10:45:31.8286715Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8287088Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8287407Z AssertionError: torch.* op returned non-Tensor ScriptDict call_function 2022-12-01T10:45:31.8287412Z 2022-12-01T10:45:31.8287481Z from user code: 2022-12-01T10:45:31.8287627Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2214, in test_setitem 2022-12-01T10:45:31.8287727Z self._compare_eager_and_script(fn, data) 2022-12-01T10:45:31.8287733Z 2022-12-01T10:45:31.8287859Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8287923Z ========== 2022-12-01T10:45:31.8287976Z ok (0.007s) 2022-12-01T10:45:31.8288128Z test_append (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8288522Z Test append method. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_append /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2543 2022-12-01T10:45:31.8288586Z due to: 2022-12-01T10:45:31.8288680Z Traceback (most recent call last): 2022-12-01T10:45:31.8288833Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8289080Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8289339Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8289343Z 2022-12-01T10:45:31.8289400Z from user code: 2022-12-01T10:45:31.8289548Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2547, in test_append 2022-12-01T10:45:31.8289674Z self._compare_eager_and_script(lambda l: l.append(1), [4, 3, 2]) 2022-12-01T10:45:31.8289682Z 2022-12-01T10:45:31.8289810Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8289866Z ========== 2022-12-01T10:45:31.8290174Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _compare_eager_and_script /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2335 2022-12-01T10:45:31.8290239Z due to: 2022-12-01T10:45:31.8290327Z Traceback (most recent call last): 2022-12-01T10:45:31.8290468Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8290715Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8290975Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8290980Z 2022-12-01T10:45:31.8291047Z from user code: 2022-12-01T10:45:31.8291211Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2347, in _compare_eager_and_script 2022-12-01T10:45:31.8291348Z script_input_list = script_input_list or torch.jit.script(input_list) 2022-12-01T10:45:31.8291353Z 2022-12-01T10:45:31.8291483Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8291544Z ========== 2022-12-01T10:45:31.8291597Z ok (0.007s) 2022-12-01T10:45:31.8291708Z test_bool (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8291827Z Test the __bool__ method. This should return True ... ok (0.034s) 2022-12-01T10:45:31.8291937Z test_clear (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8292013Z Test clear. ... ok (0.034s) 2022-12-01T10:45:31.8292125Z test_contains (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8292485Z Test membership checks (x in y, x not in y). ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_contains /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2475 2022-12-01T10:45:31.8292548Z due to: 2022-12-01T10:45:31.8292627Z Traceback (most recent call last): 2022-12-01T10:45:31.8292782Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8293024Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8293283Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8293338Z 2022-12-01T10:45:31.8293405Z from user code: 2022-12-01T10:45:31.8293550Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2484, in test_contains 2022-12-01T10:45:31.8293653Z self._compare_eager_and_script(fn, data) 2022-12-01T10:45:31.8293658Z 2022-12-01T10:45:31.8293784Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8293834Z ========== 2022-12-01T10:45:31.8293895Z ok (0.005s) 2022-12-01T10:45:31.8294005Z test_count (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8294348Z Test count method. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_count /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2518 2022-12-01T10:45:31.8294410Z due to: 2022-12-01T10:45:31.8294498Z Traceback (most recent call last): 2022-12-01T10:45:31.8294651Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8294894Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8295142Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8295147Z 2022-12-01T10:45:31.8295214Z from user code: 2022-12-01T10:45:31.8295358Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2522, in test_count 2022-12-01T10:45:31.8295481Z self._compare_eager_and_script(lambda l: l.count(3), [1, 2, 3, 3]) 2022-12-01T10:45:31.8295487Z 2022-12-01T10:45:31.8295612Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8295673Z ========== 2022-12-01T10:45:31.8295737Z ok (0.005s) 2022-12-01T10:45:31.8295855Z test_delitem (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8295926Z Test deletion. ... ok (0.035s) 2022-12-01T10:45:31.8296040Z test_extend (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8296118Z Test extend. ... ok (0.007s) 2022-12-01T10:45:31.8296233Z test_getitem (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8296364Z Test accessing list elements using the [] operator. ... ok (0.038s) 2022-12-01T10:45:31.8296474Z test_insert (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8296806Z Test insert. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2612 2022-12-01T10:45:31.8296858Z due to: 2022-12-01T10:45:31.8296947Z Traceback (most recent call last): 2022-12-01T10:45:31.8297099Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8297346Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8297604Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8297609Z 2022-12-01T10:45:31.8297678Z from user code: 2022-12-01T10:45:31.8297844Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2613, in 2022-12-01T10:45:31.8298025Z self._compare_eager_and_script(lambda l: l.insert(-2, 3), data) 2022-12-01T10:45:31.8298031Z 2022-12-01T10:45:31.8298157Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8298206Z ========== 2022-12-01T10:45:31.8298268Z ok (0.030s) 2022-12-01T10:45:31.8298377Z test_iter (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8298535Z Test iteration over a list's elements. ... ok (0.035s) 2022-12-01T10:45:31.8298642Z test_len (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8298739Z Test len() builtin function. ... ok (0.035s) 2022-12-01T10:45:31.8298851Z test_nested (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8299071Z Test that reference semantics are honoured when the ScriptList that is ... skip: Cannot pass until all list returned from TorchScript are ScriptLists (0.001s) 2022-12-01T10:45:31.8299179Z test_pop (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8299292Z Test pop. ... ok (0.036s) 2022-12-01T10:45:31.8299419Z test_reference_semantics (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8299837Z Test that reference semantics are honoured; that modifications made ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_reference_semantics /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2657 2022-12-01T10:45:31.8299899Z due to: 2022-12-01T10:45:31.8299984Z Traceback (most recent call last): 2022-12-01T10:45:31.8300136Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8300400Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8300658Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8300663Z 2022-12-01T10:45:31.8300728Z from user code: 2022-12-01T10:45:31.8300890Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2662, in test_reference_semantics 2022-12-01T10:45:31.8300980Z l = torch.jit.script([1, 2]) 2022-12-01T10:45:31.8300985Z 2022-12-01T10:45:31.8301110Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8301170Z ========== 2022-12-01T10:45:31.8301231Z ok (0.017s) 2022-12-01T10:45:31.8301333Z test_remove (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8301648Z Test remove method. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_remove /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2530 2022-12-01T10:45:31.8301709Z due to: 2022-12-01T10:45:31.8301799Z Traceback (most recent call last): 2022-12-01T10:45:31.8301953Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8302195Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8302451Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8302459Z 2022-12-01T10:45:31.8302525Z from user code: 2022-12-01T10:45:31.8302660Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2534, in test_remove 2022-12-01T10:45:31.8302782Z self._compare_eager_and_script(lambda l: l.remove(1), [1, 2, 3]) 2022-12-01T10:45:31.8302788Z 2022-12-01T10:45:31.8302913Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8302975Z ========== 2022-12-01T10:45:31.8303036Z ok (0.005s) 2022-12-01T10:45:31.8303146Z test_repr (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8303237Z Test the __repr__ method. ... ok (0.035s) 2022-12-01T10:45:31.8303342Z test_setitem (jit.test_list_dict.TestScriptList) 2022-12-01T10:45:31.8303732Z Test setting list elements using the [] operator. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_list_dict.py line 2440 2022-12-01T10:45:31.8303795Z due to: 2022-12-01T10:45:31.8303883Z Traceback (most recent call last): 2022-12-01T10:45:31.8304034Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8304276Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8304536Z AssertionError: torch.* op returned non-Tensor ScriptList call_function 2022-12-01T10:45:31.8304541Z 2022-12-01T10:45:31.8304607Z from user code: 2022-12-01T10:45:31.8304771Z File "/var/lib/jenkins/workspace/test/jit/test_list_dict.py", line 2450, in 2022-12-01T10:45:31.8304877Z self._compare_eager_and_script(setitem_slice, data) 2022-12-01T10:45:31.8304881Z 2022-12-01T10:45:31.8305007Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8305068Z ========== 2022-12-01T10:45:31.8305128Z ok (0.020s) 2022-12-01T10:45:31.8305393Z test_annotated_class_level_annotation_and_init_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s) 2022-12-01T10:45:31.8305673Z test_annotated_class_level_annotation_only (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s) 2022-12-01T10:45:31.8305915Z test_annotated_class_level_jit_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s) 2022-12-01T10:45:31.8306143Z test_annotated_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s) 2022-12-01T10:45:31.8306388Z test_annotated_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.010s) 2022-12-01T10:45:31.8306622Z test_annotated_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.009s) 2022-12-01T10:45:31.8307111Z test_annotated_empty_tensor (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M /var/lib/jenkins/workspace/test/jit/test_scriptmod_ann.py line 55 2022-12-01T10:45:31.8307176Z due to: 2022-12-01T10:45:31.8307263Z Traceback (most recent call last): 2022-12-01T10:45:31.8307410Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8307489Z raise Unsupported(msg) 2022-12-01T10:45:31.8307607Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8307612Z 2022-12-01T10:45:31.8307678Z from user code: 2022-12-01T10:45:31.8307811Z File "/var/lib/jenkins/workspace/test/jit/test_scriptmod_ann.py", line 55, in M 2022-12-01T10:45:31.8307895Z class M(torch.nn.Module): 2022-12-01T10:45:31.8307903Z 2022-12-01T10:45:31.8308030Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8308089Z ========== 2022-12-01T10:45:31.8308150Z ok (0.013s) 2022-12-01T10:45:31.8308388Z test_annotated_falsy_base_type (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s) 2022-12-01T10:45:31.8308629Z test_annotated_nonempty_container (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s) 2022-12-01T10:45:31.8308864Z test_annotated_with_jit_attribute (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s) 2022-12-01T10:45:31.8309090Z test_annotated_with_jit_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.010s) 2022-12-01T10:45:31.8309324Z test_annotated_with_jit_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.010s) 2022-12-01T10:45:31.8309565Z test_annotated_with_jit_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.009s) 2022-12-01T10:45:31.8309804Z test_annotated_with_torch_jit_import (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.010s) 2022-12-01T10:45:31.8310221Z test_basic (jit.test_script_profile.TestScriptProfile) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_script_profile.py line 44 2022-12-01T10:45:31.8310283Z due to: 2022-12-01T10:45:31.8310371Z Traceback (most recent call last): 2022-12-01T10:45:31.8310523Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8310768Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8311039Z AssertionError: torch.* op returned non-Tensor _ScriptProfile call_function 2022-12-01T10:45:31.8311054Z 2022-12-01T10:45:31.8311113Z from user code: 2022-12-01T10:45:31.8311283Z File "/var/lib/jenkins/workspace/test/jit/test_script_profile.py", line 45, in 2022-12-01T10:45:31.8311374Z p = torch.jit._ScriptProfile() 2022-12-01T10:45:31.8311378Z 2022-12-01T10:45:31.8311536Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8311597Z ========== 2022-12-01T10:45:31.8311661Z ok (0.080s) 2022-12-01T10:45:31.8312057Z test_empty (jit.test_script_profile.TestScriptProfile) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_empty /var/lib/jenkins/workspace/test/jit/test_script_profile.py line 107 2022-12-01T10:45:31.8312108Z due to: 2022-12-01T10:45:31.8312198Z Traceback (most recent call last): 2022-12-01T10:45:31.8312349Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8312589Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8312929Z AssertionError: torch.* op returned non-Tensor _ScriptProfile call_function 2022-12-01T10:45:31.8312935Z 2022-12-01T10:45:31.8313004Z from user code: 2022-12-01T10:45:31.8313155Z File "/var/lib/jenkins/workspace/test/jit/test_script_profile.py", line 108, in test_empty 2022-12-01T10:45:31.8313245Z p = torch.jit._ScriptProfile() 2022-12-01T10:45:31.8313250Z 2022-12-01T10:45:31.8313375Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8313427Z ========== 2022-12-01T10:45:31.8313487Z ok (0.003s) 2022-12-01T10:45:31.8313903Z test_multi (jit.test_script_profile.TestScriptProfile) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_script_profile.py line 65 2022-12-01T10:45:31.8313963Z due to: 2022-12-01T10:45:31.8314049Z Traceback (most recent call last): 2022-12-01T10:45:31.8314201Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8314437Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8314702Z AssertionError: torch.* op returned non-Tensor _ScriptProfile call_function 2022-12-01T10:45:31.8314719Z 2022-12-01T10:45:31.8314775Z from user code: 2022-12-01T10:45:31.8314941Z File "/var/lib/jenkins/workspace/test/jit/test_script_profile.py", line 66, in 2022-12-01T10:45:31.8315059Z profiles = [torch.jit._ScriptProfile() for _ in range(5)] 2022-12-01T10:45:31.8315064Z 2022-12-01T10:45:31.8315189Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8315249Z ========== 2022-12-01T10:45:31.8315313Z ok (0.087s) 2022-12-01T10:45:31.8315458Z test_script (jit.test_script_profile.TestScriptProfile) ... ok (2.756s) 2022-12-01T10:45:31.8315591Z test_section (jit.test_script_profile.TestScriptProfile) ... ok (0.307s) 2022-12-01T10:45:31.8315720Z test_module_list_slicing (jit.test_slice.TestSlice) ... ok (0.029s) 2022-12-01T10:45:31.8315843Z test_slice_as_variable (jit.test_slice.TestSlice) ... ok (0.041s) 2022-12-01T10:45:31.8315970Z test_slice_dynamic_index (jit.test_slice.TestSlice) ... ok (0.020s) 2022-12-01T10:45:31.8316086Z test_slice_kwarg (jit.test_slice.TestSlice) ... ok (0.008s) 2022-12-01T10:45:31.8316206Z test_slice_one_none (jit.test_slice.TestSlice) ... ok (0.041s) 2022-12-01T10:45:31.8316328Z test_slice_start_stop (jit.test_slice.TestSlice) ... ok (0.040s) 2022-12-01T10:45:31.8316457Z test_slice_start_stop_step (jit.test_slice.TestSlice) ... ok (0.040s) 2022-12-01T10:45:31.8316580Z test_slice_start_stop_with_none (jit.test_slice.TestSlice) ... ok (0.039s) 2022-12-01T10:45:31.8316709Z test_slice_stop_clipped (jit.test_slice.TestSlice) ... ok (0.040s) 2022-12-01T10:45:31.8316827Z test_slice_stop_only (jit.test_slice.TestSlice) ... ok (0.039s) 2022-12-01T10:45:31.8316961Z test_slice_stop_only_with_nones (jit.test_slice.TestSlice) ... ok (0.041s) 2022-12-01T10:45:31.8317080Z test_slice_string (jit.test_slice.TestSlice) ... ok (0.039s) 2022-12-01T10:45:31.8317202Z test_slice_tensor (jit.test_slice.TestSlice) ... ok (0.018s) 2022-12-01T10:45:31.8317329Z test_slice_tensor_multidim (jit.test_slice.TestSlice) ... ok (0.018s) 2022-12-01T10:45:31.8317501Z test_slice_tensor_multidim_with_dots (jit.test_slice.TestSlice) ... ok (0.017s) 2022-12-01T10:45:31.8317615Z test_slice_three_nones (jit.test_slice.TestSlice) ... ok (0.041s) 2022-12-01T10:45:31.8317734Z test_slice_two_nones (jit.test_slice.TestSlice) ... ok (0.041s) 2022-12-01T10:45:31.8318128Z test_tuple_slicing (jit.test_slice.TestSlice) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_slice.py line 133 2022-12-01T10:45:31.8318192Z due to: 2022-12-01T10:45:31.8318279Z Traceback (most recent call last): 2022-12-01T10:45:31.8318469Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8318589Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8318886Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8318894Z 2022-12-01T10:45:31.8318952Z from user code: 2022-12-01T10:45:31.8319120Z File "/var/lib/jenkins/workspace/test/jit/test_slice.py", line 134, in 2022-12-01T10:45:31.8319208Z tuple_graph = scripted_fn.graph 2022-12-01T10:45:31.8319213Z 2022-12-01T10:45:31.8319337Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8319399Z ========== 2022-12-01T10:45:31.8319460Z ok (0.042s) 2022-12-01T10:45:31.8319593Z test_freeze_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.028s) 2022-12-01T10:45:31.8319965Z test_freeze_sparse_csr (jit.test_sparse.TestSparse) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_sparse.py line 74 2022-12-01T10:45:31.8320016Z due to: 2022-12-01T10:45:31.8320105Z Traceback (most recent call last): 2022-12-01T10:45:31.8320365Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:45:31.8320509Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:45:31.8320685Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:45:31.8320691Z 2022-12-01T10:45:31.8320821Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8320827Z 2022-12-01T10:45:31.8320914Z Traceback (most recent call last): 2022-12-01T10:45:31.8321068Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:45:31.8321120Z ) from e 2022-12-01T10:45:31.8321355Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:45:31.8321360Z 2022-12-01T10:45:31.8321485Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8321543Z ========== 2022-12-01T10:45:31.8321603Z ok (0.015s) 2022-12-01T10:45:31.8321738Z test_serialize_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.026s) 2022-12-01T10:45:31.8322116Z test_serialize_sparse_csr (jit.test_sparse.TestSparse) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/jit/test_sparse.py line 107 2022-12-01T10:45:31.8322178Z due to: 2022-12-01T10:45:31.8322255Z Traceback (most recent call last): 2022-12-01T10:45:31.8322515Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:45:31.8322657Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:45:31.8322832Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:45:31.8322838Z 2022-12-01T10:45:31.8322973Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8322978Z 2022-12-01T10:45:31.8323065Z Traceback (most recent call last): 2022-12-01T10:45:31.8323218Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:45:31.8323311Z ) from e 2022-12-01T10:45:31.8323544Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:45:31.8323550Z 2022-12-01T10:45:31.8323666Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8323726Z ========== 2022-12-01T10:45:31.8323791Z ok (0.013s) 2022-12-01T10:45:31.8323956Z test_modulo_operator (jit.test_string_formatting.TestStringFormatting) ... ok (0.040s) 2022-12-01T10:45:31.8324165Z test_string_interpolation_with_alternate_digit_placeholder (jit.test_string_formatting.TestStringFormatting) ... ok (0.039s) 2022-12-01T10:45:31.8324426Z test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.038s) 2022-12-01T10:45:31.8324643Z test_string_interpolation_with_char_placeholder_and_char_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.039s) 2022-12-01T10:45:31.8324859Z test_string_interpolation_with_char_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.038s) 2022-12-01T10:45:31.8325079Z test_string_interpolation_with_char_placeholder_and_true_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.018s) 2022-12-01T10:45:31.8325288Z test_string_interpolation_with_digit_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.038s) 2022-12-01T10:45:31.8325507Z test_string_interpolation_with_digit_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.018s) 2022-12-01T10:45:31.8325714Z test_string_interpolation_with_double_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.039s) 2022-12-01T10:45:31.8325936Z test_string_interpolation_with_exponent_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.018s) 2022-12-01T10:45:31.8326156Z test_string_interpolation_with_float_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.039s) 2022-12-01T10:45:31.8326372Z test_string_interpolation_with_float_placeholder_and_float_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.038s) 2022-12-01T10:45:31.8326605Z test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.038s) 2022-12-01T10:45:31.8326807Z test_string_interpolation_with_multiple_placeholders (jit.test_string_formatting.TestStringFormatting) ... ok (0.038s) 2022-12-01T10:45:31.8327129Z test_string_interpolation_with_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.018s) 2022-12-01T10:45:31.8327346Z test_string_interpolation_with_string_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.038s) 2022-12-01T10:45:31.8327562Z test_string_interpolation_with_string_placeholder_and_format_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.037s) 2022-12-01T10:45:31.8327781Z test_string_interpolation_with_string_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.037s) 2022-12-01T10:45:31.8327968Z test_string_interpolation_with_subscript (jit.test_string_formatting.TestStringFormatting) ... ok (0.039s) 2022-12-01T10:45:31.8328162Z test_string_interpolation_with_too_few_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.018s) 2022-12-01T10:45:31.8328424Z test_string_interpolation_with_too_many_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.018s) 2022-12-01T10:45:31.8328634Z test_string_interpolation_with_unknown_format_specifier (jit.test_string_formatting.TestStringFormatting) ... ok (0.018s) 2022-12-01T10:45:31.8329100Z test_adaptive_avg_pool2d (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT setUp /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 22 2022-12-01T10:45:31.8329218Z due to: 2022-12-01T10:45:31.8329309Z Traceback (most recent call last): 2022-12-01T10:45:31.8329452Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8329699Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8330046Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.8330051Z 2022-12-01T10:45:31.8330120Z from user code: 2022-12-01T10:45:31.8330317Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 23, in setUp 2022-12-01T10:45:31.8330481Z self.prev_symbolic_shapes_test_enabled = torch._C._jit_symbolic_shapes_test_mode_enabled() 2022-12-01T10:45:31.8330486Z 2022-12-01T10:45:31.8330615Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8330677Z ========== 2022-12-01T10:45:31.8330978Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tearDown /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 26 2022-12-01T10:45:31.8331030Z due to: 2022-12-01T10:45:31.8331116Z Traceback (most recent call last): 2022-12-01T10:45:31.8331268Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8331514Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8331849Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.8331855Z 2022-12-01T10:45:31.8331924Z from user code: 2022-12-01T10:45:31.8332086Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 27, in tearDown 2022-12-01T10:45:31.8332238Z torch._C._jit_set_symbolic_shapes_test_mode(self.prev_symbolic_shapes_test_enabled) 2022-12-01T10:45:31.8332243Z 2022-12-01T10:45:31.8332372Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8332422Z ========== 2022-12-01T10:45:31.8332487Z ok (0.034s) 2022-12-01T10:45:31.8332671Z test_arange_shape (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.025s) 2022-12-01T10:45:31.8332867Z test_binary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.010s) 2022-12-01T10:45:31.8333061Z test_binary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.011s) 2022-12-01T10:45:31.8333587Z test_convolution_backward (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 330 2022-12-01T10:45:31.8333646Z due to: 2022-12-01T10:45:31.8333737Z Traceback (most recent call last): 2022-12-01T10:45:31.8333887Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8334005Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8334301Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8334307Z 2022-12-01T10:45:31.8334373Z from user code: 2022-12-01T10:45:31.8334570Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 331, in 2022-12-01T10:45:31.8334644Z g = script_fn.graph 2022-12-01T10:45:31.8334651Z 2022-12-01T10:45:31.8334778Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8334835Z ========== 2022-12-01T10:45:31.8334888Z ok (0.094s) 2022-12-01T10:45:31.8335395Z test_if_propagation (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 102 2022-12-01T10:45:31.8335503Z due to: 2022-12-01T10:45:31.8335593Z Traceback (most recent call last): 2022-12-01T10:45:31.8335749Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8335864Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8336157Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8336163Z 2022-12-01T10:45:31.8336231Z from user code: 2022-12-01T10:45:31.8336461Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 110, in 2022-12-01T10:45:31.8336569Z torch._C._jit_pass_constant_propagation(foo.graph) 2022-12-01T10:45:31.8336574Z 2022-12-01T10:45:31.8336701Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8336764Z ========== 2022-12-01T10:45:31.8336827Z ok (0.012s) 2022-12-01T10:45:31.8337018Z test_partial_eval_graph_conv (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.091s) 2022-12-01T10:45:31.8337209Z test_partial_eval_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.395s) 2022-12-01T10:45:31.8337417Z test_refinement_through_graph_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.027s) 2022-12-01T10:45:31.8337975Z test_register_function_error_checking (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 541 2022-12-01T10:45:31.8338037Z due to: 2022-12-01T10:45:31.8338115Z Traceback (most recent call last): 2022-12-01T10:45:31.8338274Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8338392Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8338687Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8338692Z 2022-12-01T10:45:31.8338760Z from user code: 2022-12-01T10:45:31.8338969Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 545, in 2022-12-01T10:45:31.8339088Z node = foo.graph.findNode("aten::add") 2022-12-01T10:45:31.8339093Z 2022-12-01T10:45:31.8339225Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8339275Z ========== 2022-12-01T10:45:31.8339339Z ok (0.020s) 2022-12-01T10:45:31.8339887Z test_returning_input_symbolic_shapes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 377 2022-12-01T10:45:31.8339950Z due to: 2022-12-01T10:45:31.8340035Z Traceback (most recent call last): 2022-12-01T10:45:31.8340262Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.8340447Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.8340640Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.8340645Z 2022-12-01T10:45:31.8340702Z from user code: 2022-12-01T10:45:31.8340911Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 379, in 2022-12-01T10:45:31.8341041Z self.assertEqual(out[4:], list(mm(torch.rand([20, 16, 5, 10])).size()[2:])) 2022-12-01T10:45:31.8341046Z 2022-12-01T10:45:31.8341171Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8341269Z ========== 2022-12-01T10:45:31.8341331Z ok (0.128s) 2022-12-01T10:45:31.8341828Z test_shape_analysis (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 30 2022-12-01T10:45:31.8341890Z due to: 2022-12-01T10:45:31.8341968Z Traceback (most recent call last): 2022-12-01T10:45:31.8342124Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8342238Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8342563Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8342569Z 2022-12-01T10:45:31.8342639Z from user code: 2022-12-01T10:45:31.8342830Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 34, in 2022-12-01T10:45:31.8342924Z inputs = list(foo.graph.inputs()) 2022-12-01T10:45:31.8342930Z 2022-12-01T10:45:31.8343056Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8343114Z ========== 2022-12-01T10:45:31.8343448Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 38 2022-12-01T10:45:31.8343508Z due to: 2022-12-01T10:45:31.8343596Z Traceback (most recent call last): 2022-12-01T10:45:31.8343756Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8343874Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8344171Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8344176Z 2022-12-01T10:45:31.8344243Z from user code: 2022-12-01T10:45:31.8344435Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 39, in 2022-12-01T10:45:31.8344550Z torch._C._jit_pass_propagate_shapes_on_graph(foo.graph) 2022-12-01T10:45:31.8344565Z 2022-12-01T10:45:31.8344680Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8344740Z ========== 2022-12-01T10:45:31.8344802Z ok (0.099s) 2022-12-01T10:45:31.8344983Z test_shape_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.082s) 2022-12-01T10:45:31.8345176Z test_shape_embedding_bag (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.203s) 2022-12-01T10:45:31.8345420Z test_shape_function_includes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... skip: shape functions not loaded in python (0.001s) 2022-12-01T10:45:31.8345928Z test_shared_shape_graph (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 70 2022-12-01T10:45:31.8345993Z due to: 2022-12-01T10:45:31.8346073Z Traceback (most recent call last): 2022-12-01T10:45:31.8346233Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8346349Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8346643Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8346648Z 2022-12-01T10:45:31.8346714Z from user code: 2022-12-01T10:45:31.8346909Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 74, in 2022-12-01T10:45:31.8347019Z mul_node = foo.graph.findNode("aten::mul") 2022-12-01T10:45:31.8347025Z 2022-12-01T10:45:31.8347149Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8347231Z ========== 2022-12-01T10:45:31.8347295Z ok (0.008s) 2022-12-01T10:45:31.8347789Z test_size_and_sizes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 195 2022-12-01T10:45:31.8347851Z due to: 2022-12-01T10:45:31.8347939Z Traceback (most recent call last): 2022-12-01T10:45:31.8348097Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8348211Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8348539Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8348546Z 2022-12-01T10:45:31.8348602Z from user code: 2022-12-01T10:45:31.8348790Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 199, in 2022-12-01T10:45:31.8348890Z for graph in [foo.graph, foo2.graph]: 2022-12-01T10:45:31.8348895Z 2022-12-01T10:45:31.8349023Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8349083Z ========== 2022-12-01T10:45:31.8349143Z ok (0.021s) 2022-12-01T10:45:31.8349646Z test_stitching_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 504 2022-12-01T10:45:31.8349704Z due to: 2022-12-01T10:45:31.8349789Z Traceback (most recent call last): 2022-12-01T10:45:31.8349939Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8350054Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8350347Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8350354Z 2022-12-01T10:45:31.8350422Z from user code: 2022-12-01T10:45:31.8350612Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 509, in 2022-12-01T10:45:31.8350680Z g = foo.graph 2022-12-01T10:45:31.8350685Z 2022-12-01T10:45:31.8350810Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8350868Z ========== 2022-12-01T10:45:31.8350919Z ok (0.174s) 2022-12-01T10:45:31.8351443Z test_stitching_multi_output (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 471 2022-12-01T10:45:31.8351505Z due to: 2022-12-01T10:45:31.8351594Z Traceback (most recent call last): 2022-12-01T10:45:31.8351816Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.8352001Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.8352191Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.8352197Z 2022-12-01T10:45:31.8352264Z from user code: 2022-12-01T10:45:31.8352451Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 472, in 2022-12-01T10:45:31.8352554Z output_tensor = list(mod(tensor)[0].size()) 2022-12-01T10:45:31.8352558Z 2022-12-01T10:45:31.8352687Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8352747Z ========== 2022-12-01T10:45:31.8352809Z ok (0.109s) 2022-12-01T10:45:31.8353273Z test_sym_ir_parsing (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sym_ir_parsing /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 488 2022-12-01T10:45:31.8353333Z due to: 2022-12-01T10:45:31.8353454Z Traceback (most recent call last): 2022-12-01T10:45:31.8353596Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8353841Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8354141Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:45:31.8354148Z 2022-12-01T10:45:31.8354214Z from user code: 2022-12-01T10:45:31.8354386Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 493, in test_sym_ir_parsing 2022-12-01T10:45:31.8354475Z g = torch._C.parse_ir(graph_str1) 2022-12-01T10:45:31.8354511Z 2022-12-01T10:45:31.8354641Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8354705Z ========== 2022-12-01T10:45:31.8354758Z ok (0.003s) 2022-12-01T10:45:31.8354949Z test_unary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.006s) 2022-12-01T10:45:31.8355442Z test_unary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_unary_shape_functions /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 121 2022-12-01T10:45:31.8355503Z due to: 2022-12-01T10:45:31.8355589Z Traceback (most recent call last): 2022-12-01T10:45:31.8355812Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8355939Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8356111Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8356118Z 2022-12-01T10:45:31.8356184Z from user code: 2022-12-01T10:45:31.8356355Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 126, in test_unary_shape_functions 2022-12-01T10:45:31.8356458Z t = torch.jit.trace(fn, (torch.rand([4, 4]))) 2022-12-01T10:45:31.8356466Z 2022-12-01T10:45:31.8356597Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8356656Z ========== 2022-12-01T10:45:31.8356719Z ok (0.006s) 2022-12-01T10:45:31.8357181Z test_write (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py line 83 2022-12-01T10:45:31.8357243Z due to: 2022-12-01T10:45:31.8357327Z Traceback (most recent call last): 2022-12-01T10:45:31.8357473Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8357589Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8357886Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8357891Z 2022-12-01T10:45:31.8357954Z from user code: 2022-12-01T10:45:31.8358138Z File "/var/lib/jenkins/workspace/test/jit/test_symbolic_shape_analysis.py", line 88, in 2022-12-01T10:45:31.8358260Z torch._C._jit_pass_propagate_shapes_on_graph(foo.graph) 2022-12-01T10:45:31.8358266Z 2022-12-01T10:45:31.8358393Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8358450Z ========== 2022-12-01T10:45:31.8358504Z ok (0.009s) 2022-12-01T10:45:31.8358650Z test_method_on_number (jit.test_builtins.TestTensorBuiltins) ... ok (0.008s) 2022-12-01T10:45:31.8359117Z test_scalar_to_num_conversions (jit.test_builtins.TestTensorBuiltins) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_builtins.py line 243 2022-12-01T10:45:31.8359178Z due to: 2022-12-01T10:45:31.8359267Z Traceback (most recent call last): 2022-12-01T10:45:31.8359424Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8359571Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8359863Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8359868Z 2022-12-01T10:45:31.8359925Z from user code: 2022-12-01T10:45:31.8360108Z File "/var/lib/jenkins/workspace/test/jit/test_builtins.py", line 249, in 2022-12-01T10:45:31.8360253Z self.assertTrue("ImplicitTensorToNum" not in str(multiple_defs.graph)) 2022-12-01T10:45:31.8360259Z 2022-12-01T10:45:31.8360382Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8360442Z ========== 2022-12-01T10:45:31.8360755Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tensor_to_int /var/lib/jenkins/workspace/test/jit/test_builtins.py line 259 2022-12-01T10:45:31.8360817Z due to: 2022-12-01T10:45:31.8360905Z Traceback (most recent call last): 2022-12-01T10:45:31.8361048Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:45:31.8361174Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:45:31.8361376Z TypeError: unsqueeze(): argument 'dim' (position 1) must be int, not FakeTensor 2022-12-01T10:45:31.8361381Z 2022-12-01T10:45:31.8361448Z from user code: 2022-12-01T10:45:31.8361594Z File "/var/lib/jenkins/workspace/test/jit/test_builtins.py", line 260, in tensor_to_int 2022-12-01T10:45:31.8361676Z return x.unsqueeze(tensor) 2022-12-01T10:45:31.8361682Z 2022-12-01T10:45:31.8361807Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8361865Z ========== 2022-12-01T10:45:31.8362144Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tensor_to_float /var/lib/jenkins/workspace/test/jit/test_builtins.py line 266 2022-12-01T10:45:31.8362203Z due to: 2022-12-01T10:45:31.8362291Z Traceback (most recent call last): 2022-12-01T10:45:31.8362447Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:45:31.8362575Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:45:31.8362762Z TypeError: addcmul(): argument 'value' must be Number, not FakeTensor 2022-12-01T10:45:31.8362767Z 2022-12-01T10:45:31.8362833Z from user code: 2022-12-01T10:45:31.8362983Z File "/var/lib/jenkins/workspace/test/jit/test_builtins.py", line 267, in tensor_to_float 2022-12-01T10:45:31.8363079Z return x.addcmul(tensor, tensor, value=tensor) 2022-12-01T10:45:31.8363092Z 2022-12-01T10:45:31.8363208Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8363264Z ========== 2022-12-01T10:45:31.8363325Z ok (0.058s) 2022-12-01T10:45:31.8363744Z test_tensor_item (jit.test_builtins.TestTensorBuiltins) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_builtins.py line 229 2022-12-01T10:45:31.8363806Z due to: 2022-12-01T10:45:31.8363895Z Traceback (most recent call last): 2022-12-01T10:45:31.8364053Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8364157Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8364454Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8364459Z 2022-12-01T10:45:31.8364524Z from user code: 2022-12-01T10:45:31.8364691Z File "/var/lib/jenkins/workspace/test/jit/test_builtins.py", line 229, in 2022-12-01T10:45:31.8364806Z graph = torch.jit.script(test_scalar_cast).graph 2022-12-01T10:45:31.8364811Z 2022-12-01T10:45:31.8364938Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8364999Z ========== 2022-12-01T10:45:31.8365062Z ok (0.019s) 2022-12-01T10:45:31.8365495Z test_tensor_properties (jit.test_builtins.TestTensorBuiltins) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_builtins.py line 154 2022-12-01T10:45:31.8365589Z due to: 2022-12-01T10:45:31.8365677Z Traceback (most recent call last): 2022-12-01T10:45:31.8365830Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8366076Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8366357Z AssertionError: torch.* op returned non-Tensor CompilationUnit call_function 2022-12-01T10:45:31.8366362Z 2022-12-01T10:45:31.8366430Z from user code: 2022-12-01T10:45:31.8366635Z File "/var/lib/jenkins/workspace/test/jit/test_builtins.py", line 180, in 2022-12-01T10:45:31.8366736Z cu = torch.jit.CompilationUnit() 2022-12-01T10:45:31.8366741Z 2022-12-01T10:45:31.8366857Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8366920Z ========== 2022-12-01T10:45:31.8367118Z ok (2.707s) 2022-12-01T10:45:31.8367282Z test_tensor_subscript_assign (jit.test_builtins.TestTensorBuiltins) ... ok (0.074s) 2022-12-01T10:45:31.8367467Z test_tensor_subscript_assign_device (jit.test_builtins.TestTensorBuiltins) ... skip: requires CUDA (0.000s) 2022-12-01T10:45:31.8367641Z test_randperm_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.048s) 2022-12-01T10:45:31.8367814Z test_randperm_specifed_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.047s) 2022-12-01T10:45:31.8367989Z test_tril_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.048s) 2022-12-01T10:45:31.8368158Z test_tril_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.047s) 2022-12-01T10:45:31.8368398Z test_triu_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.047s) 2022-12-01T10:45:31.8368580Z test_triu_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.048s) 2022-12-01T10:45:31.8369011Z test_getitem (jit.test_tensor_methods.TestTensorMethods) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tensor_methods.py line 30 2022-12-01T10:45:31.8369073Z due to: 2022-12-01T10:45:31.8369163Z Traceback (most recent call last): 2022-12-01T10:45:31.8369318Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8369563Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8369795Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8369813Z 2022-12-01T10:45:31.8369871Z from user code: 2022-12-01T10:45:31.8370047Z File "/var/lib/jenkins/workspace/test/jit/test_tensor_methods.py", line 31, in 2022-12-01T10:45:31.8370176Z FileCheck().check("aten::index").run(scripted.graph) 2022-12-01T10:45:31.8370181Z 2022-12-01T10:45:31.8370306Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8370367Z ========== 2022-12-01T10:45:31.8370430Z ok (0.025s) 2022-12-01T10:45:31.8370586Z test_getitem_invalid (jit.test_tensor_methods.TestTensorMethods) ... ok (0.008s) 2022-12-01T10:45:31.8370884Z test_default_args (jit.test_torchbind.TestTorchbind) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.8370935Z due to: 2022-12-01T10:45:31.8371025Z Traceback (most recent call last): 2022-12-01T10:45:31.8371159Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8371247Z raise AttributeError(attr) 2022-12-01T10:45:31.8371334Z AttributeError: _DefaultArgs 2022-12-01T10:45:31.8371339Z 2022-12-01T10:45:31.8371471Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8371531Z 2022-12-01T10:45:31.8371621Z Traceback (most recent call last): 2022-12-01T10:45:31.8371770Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8371840Z raise Unsupported(msg) 2022-12-01T10:45:31.8372133Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8372138Z 2022-12-01T10:45:31.8372207Z from user code: 2022-12-01T10:45:31.8372291Z File "", line 2, in fn 2022-12-01T10:45:31.8372296Z 2022-12-01T10:45:31.8372426Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8372487Z ========== 2022-12-01T10:45:31.8372796Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 427 2022-12-01T10:45:31.8372859Z due to: 2022-12-01T10:45:31.8372936Z Traceback (most recent call last): 2022-12-01T10:45:31.8373069Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8373158Z raise AttributeError(attr) 2022-12-01T10:45:31.8373243Z AttributeError: _DefaultArgs 2022-12-01T10:45:31.8373248Z 2022-12-01T10:45:31.8373382Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8373387Z 2022-12-01T10:45:31.8373476Z Traceback (most recent call last): 2022-12-01T10:45:31.8373623Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8373692Z raise Unsupported(msg) 2022-12-01T10:45:31.8373978Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8373983Z 2022-12-01T10:45:31.8374054Z from user code: 2022-12-01T10:45:31.8374194Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 428, in fn 2022-12-01T10:45:31.8374323Z obj = torch.classes._TorchScriptTesting._DefaultArgs() 2022-12-01T10:45:31.8374328Z 2022-12-01T10:45:31.8374455Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8374520Z ========== 2022-12-01T10:45:31.8374711Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT gn line 1 2022-12-01T10:45:31.8374763Z due to: 2022-12-01T10:45:31.8374851Z Traceback (most recent call last): 2022-12-01T10:45:31.8374984Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8375068Z raise AttributeError(attr) 2022-12-01T10:45:31.8375152Z AttributeError: _DefaultArgs 2022-12-01T10:45:31.8375157Z 2022-12-01T10:45:31.8375288Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8375293Z 2022-12-01T10:45:31.8375379Z Traceback (most recent call last): 2022-12-01T10:45:31.8375524Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8375595Z raise Unsupported(msg) 2022-12-01T10:45:31.8375880Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8375886Z 2022-12-01T10:45:31.8375954Z from user code: 2022-12-01T10:45:31.8376035Z File "", line 2, in gn 2022-12-01T10:45:31.8376040Z 2022-12-01T10:45:31.8376168Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8376230Z ========== 2022-12-01T10:45:31.8376498Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT gn /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 440 2022-12-01T10:45:31.8376559Z due to: 2022-12-01T10:45:31.8376637Z Traceback (most recent call last): 2022-12-01T10:45:31.8376770Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8376856Z raise AttributeError(attr) 2022-12-01T10:45:31.8376940Z AttributeError: _DefaultArgs 2022-12-01T10:45:31.8376944Z 2022-12-01T10:45:31.8377076Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8377082Z 2022-12-01T10:45:31.8377166Z Traceback (most recent call last): 2022-12-01T10:45:31.8377364Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8377442Z raise Unsupported(msg) 2022-12-01T10:45:31.8377716Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8377721Z 2022-12-01T10:45:31.8377789Z from user code: 2022-12-01T10:45:31.8377930Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 441, in gn 2022-12-01T10:45:31.8378059Z obj = torch.classes._TorchScriptTesting._DefaultArgs(5) 2022-12-01T10:45:31.8378064Z 2022-12-01T10:45:31.8378189Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8378253Z ========== 2022-12-01T10:45:31.8378347Z ok (0.065s) 2022-12-01T10:45:31.8378495Z test_lambda_as_constructor (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-12-01T10:45:31.8378667Z test_profiler_custom_op (jit.test_torchbind.TestTorchbind) ... You have not run this instance of FileCheck! 2022-12-01T10:45:31.8378743Z FileCheck checks: 2022-12-01T10:45:31.8378847Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8378917Z FileCheck checks: 2022-12-01T10:45:31.8379017Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8379087Z FileCheck checks: 2022-12-01T10:45:31.8379184Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8379241Z FileCheck checks: 2022-12-01T10:45:31.8379340Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8379409Z FileCheck checks: 2022-12-01T10:45:31.8379509Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8379578Z FileCheck checks: 2022-12-01T10:45:31.8379679Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8379752Z FileCheck checks: 2022-12-01T10:45:31.8379839Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8379907Z FileCheck checks: 2022-12-01T10:45:31.8380005Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8380076Z FileCheck checks: 2022-12-01T10:45:31.8380177Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8380246Z FileCheck checks: 2022-12-01T10:45:31.8380345Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8380403Z FileCheck checks: 2022-12-01T10:45:31.8380502Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8380569Z FileCheck checks: 2022-12-01T10:45:31.8380665Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8380733Z FileCheck checks: 2022-12-01T10:45:31.8380831Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8380889Z FileCheck checks: 2022-12-01T10:45:31.8380985Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8381054Z FileCheck checks: 2022-12-01T10:45:31.8381154Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8381222Z FileCheck checks: 2022-12-01T10:45:31.8381320Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8381391Z FileCheck checks: 2022-12-01T10:45:31.8381477Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8381548Z FileCheck checks: 2022-12-01T10:45:31.8381646Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8381714Z FileCheck checks: 2022-12-01T10:45:31.8381810Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8381877Z FileCheck checks: 2022-12-01T10:45:31.8381974Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8382032Z FileCheck checks: 2022-12-01T10:45:31.8382133Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8382202Z FileCheck checks: 2022-12-01T10:45:31.8382300Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8382369Z FileCheck checks: 2022-12-01T10:45:31.8382464Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8382533Z FileCheck checks: 2022-12-01T10:45:31.8382619Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8382688Z FileCheck checks: 2022-12-01T10:45:31.8382786Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8382853Z FileCheck checks: 2022-12-01T10:45:31.8382987Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8383053Z FileCheck checks: 2022-12-01T10:45:31.8383146Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8383204Z FileCheck checks: 2022-12-01T10:45:31.8383298Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8383369Z FileCheck checks: 2022-12-01T10:45:31.8383466Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8383534Z FileCheck checks: 2022-12-01T10:45:31.8383630Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8383688Z FileCheck checks: 2022-12-01T10:45:31.8383784Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8383851Z FileCheck checks: 2022-12-01T10:45:31.8384129Z STAGE:2022-12-01 10:45:16 3062:3062 ActivityProfilerController.cpp:294] Completed Stage: Warm Up 2022-12-01T10:45:31.8384378Z STAGE:2022-12-01 10:45:16 3062:3062 ActivityProfilerController.cpp:300] Completed Stage: Collection 2022-12-01T10:45:31.8384440Z ok (0.006s) 2022-12-01T10:45:31.8384625Z test_staticmethod (jit.test_torchbind.TestTorchbind) ... ok (0.044s) 2022-12-01T10:45:31.8385049Z test_torchbind (jit.test_torchbind.TestTorchbind) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 45 2022-12-01T10:45:31.8385101Z due to: 2022-12-01T10:45:31.8385188Z Traceback (most recent call last): 2022-12-01T10:45:31.8385323Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8385410Z raise AttributeError(attr) 2022-12-01T10:45:31.8385486Z AttributeError: _Foo 2022-12-01T10:45:31.8385491Z 2022-12-01T10:45:31.8385624Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8385631Z 2022-12-01T10:45:31.8385716Z Traceback (most recent call last): 2022-12-01T10:45:31.8385864Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8385933Z raise Unsupported(msg) 2022-12-01T10:45:31.8386220Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8386228Z 2022-12-01T10:45:31.8386296Z from user code: 2022-12-01T10:45:31.8386434Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 46, in f 2022-12-01T10:45:31.8386559Z val = torch.classes._TorchScriptTesting._Foo(5, 3) 2022-12-01T10:45:31.8386564Z 2022-12-01T10:45:31.8386693Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8386751Z ========== 2022-12-01T10:45:31.8387016Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 55 2022-12-01T10:45:31.8387066Z due to: 2022-12-01T10:45:31.8387154Z Traceback (most recent call last): 2022-12-01T10:45:31.8387289Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8387373Z raise AttributeError(attr) 2022-12-01T10:45:31.8387457Z AttributeError: _StackString 2022-12-01T10:45:31.8387464Z 2022-12-01T10:45:31.8387596Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8387601Z 2022-12-01T10:45:31.8387685Z Traceback (most recent call last): 2022-12-01T10:45:31.8387829Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8387899Z raise Unsupported(msg) 2022-12-01T10:45:31.8388185Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8388190Z 2022-12-01T10:45:31.8388257Z from user code: 2022-12-01T10:45:31.8388395Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 56, in f 2022-12-01T10:45:31.8388535Z ss = torch.classes._TorchScriptTesting._StackString(["asdf", "bruh"]) 2022-12-01T10:45:31.8388541Z 2022-12-01T10:45:31.8388668Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8388727Z ========== 2022-12-01T10:45:31.8388990Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 60 2022-12-01T10:45:31.8389081Z due to: 2022-12-01T10:45:31.8389171Z Traceback (most recent call last): 2022-12-01T10:45:31.8389308Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8389392Z raise AttributeError(attr) 2022-12-01T10:45:31.8389476Z AttributeError: _StackString 2022-12-01T10:45:31.8389481Z 2022-12-01T10:45:31.8389610Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8389615Z 2022-12-01T10:45:31.8389698Z Traceback (most recent call last): 2022-12-01T10:45:31.8389844Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8389942Z raise Unsupported(msg) 2022-12-01T10:45:31.8390229Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8390234Z 2022-12-01T10:45:31.8390302Z from user code: 2022-12-01T10:45:31.8390466Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 61, in f 2022-12-01T10:45:31.8390664Z ss1 = torch.classes._TorchScriptTesting._StackString(["asdf", "bruh"]) 2022-12-01T10:45:31.8390670Z 2022-12-01T10:45:31.8390854Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8390943Z ========== 2022-12-01T10:45:31.8391018Z ok (0.066s) 2022-12-01T10:45:31.8391163Z test_torchbind_attr_exception (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-12-01T10:45:31.8391322Z test_torchbind_class_attr_recursive (jit.test_torchbind.TestTorchbind) ... ok (0.011s) 2022-12-01T10:45:31.8391533Z test_torchbind_class_attribute (jit.test_torchbind.TestTorchbind) ... ok (0.010s) 2022-12-01T10:45:31.8391692Z test_torchbind_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.008s) 2022-12-01T10:45:31.8392067Z test_torchbind_def_property_getter_setter (jit.test_torchbind.TestTorchbind) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT foo_getter_setter_full line 1 2022-12-01T10:45:31.8392132Z due to: 2022-12-01T10:45:31.8392221Z Traceback (most recent call last): 2022-12-01T10:45:31.8392356Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8392431Z raise AttributeError(attr) 2022-12-01T10:45:31.8392548Z AttributeError: _FooGetterSetter 2022-12-01T10:45:31.8392555Z 2022-12-01T10:45:31.8392718Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8392723Z 2022-12-01T10:45:31.8392813Z Traceback (most recent call last): 2022-12-01T10:45:31.8392960Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8393042Z raise Unsupported(msg) 2022-12-01T10:45:31.8393334Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8393339Z 2022-12-01T10:45:31.8393409Z from user code: 2022-12-01T10:45:31.8393505Z File "", line 2, in foo_getter_setter_full 2022-12-01T10:45:31.8393512Z 2022-12-01T10:45:31.8393639Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8393701Z ========== 2022-12-01T10:45:31.8394001Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT foo_getter_setter_full /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 136 2022-12-01T10:45:31.8394063Z due to: 2022-12-01T10:45:31.8394149Z Traceback (most recent call last): 2022-12-01T10:45:31.8394281Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8394355Z raise AttributeError(attr) 2022-12-01T10:45:31.8394446Z AttributeError: _FooGetterSetter 2022-12-01T10:45:31.8394451Z 2022-12-01T10:45:31.8394585Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8394590Z 2022-12-01T10:45:31.8394678Z Traceback (most recent call last): 2022-12-01T10:45:31.8394823Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8394958Z raise Unsupported(msg) 2022-12-01T10:45:31.8395247Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8395252Z 2022-12-01T10:45:31.8395319Z from user code: 2022-12-01T10:45:31.8395479Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 137, in foo_getter_setter_full 2022-12-01T10:45:31.8395624Z fooGetterSetter = torch.classes._TorchScriptTesting._FooGetterSetter(5, 6) 2022-12-01T10:45:31.8395629Z 2022-12-01T10:45:31.8395755Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8395816Z ========== 2022-12-01T10:45:31.8396075Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT foo_getter_setter_lambda line 1 2022-12-01T10:45:31.8396139Z due to: 2022-12-01T10:45:31.8396229Z Traceback (most recent call last): 2022-12-01T10:45:31.8396363Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8396436Z raise AttributeError(attr) 2022-12-01T10:45:31.8396540Z AttributeError: _FooGetterSetterLambda 2022-12-01T10:45:31.8396545Z 2022-12-01T10:45:31.8396678Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8396683Z 2022-12-01T10:45:31.8396771Z Traceback (most recent call last): 2022-12-01T10:45:31.8396919Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8396999Z raise Unsupported(msg) 2022-12-01T10:45:31.8397285Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8397290Z 2022-12-01T10:45:31.8397357Z from user code: 2022-12-01T10:45:31.8397468Z File "", line 2, in foo_getter_setter_lambda 2022-12-01T10:45:31.8397472Z 2022-12-01T10:45:31.8397590Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8397650Z ========== 2022-12-01T10:45:31.8397958Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT foo_getter_setter_lambda /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 147 2022-12-01T10:45:31.8398022Z due to: 2022-12-01T10:45:31.8398110Z Traceback (most recent call last): 2022-12-01T10:45:31.8398242Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8398324Z raise AttributeError(attr) 2022-12-01T10:45:31.8398415Z AttributeError: _FooGetterSetterLambda 2022-12-01T10:45:31.8398428Z 2022-12-01T10:45:31.8398550Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8398555Z 2022-12-01T10:45:31.8398643Z Traceback (most recent call last): 2022-12-01T10:45:31.8398791Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8398871Z raise Unsupported(msg) 2022-12-01T10:45:31.8399156Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8399161Z 2022-12-01T10:45:31.8399228Z from user code: 2022-12-01T10:45:31.8399392Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 148, in foo_getter_setter_lambda 2022-12-01T10:45:31.8399541Z foo = torch.classes._TorchScriptTesting._FooGetterSetterLambda(5) 2022-12-01T10:45:31.8399546Z 2022-12-01T10:45:31.8399663Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8399724Z ========== 2022-12-01T10:45:31.8399788Z ok (0.052s) 2022-12-01T10:45:31.8399950Z test_torchbind_def_property_just_getter (jit.test_torchbind.TestTorchbind) ... ok (0.031s) 2022-12-01T10:45:31.8400303Z test_torchbind_def_property_readwrite (jit.test_torchbind.TestTorchbind) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT foo_readwrite line 1 2022-12-01T10:45:31.8400364Z due to: 2022-12-01T10:45:31.8400450Z Traceback (most recent call last): 2022-12-01T10:45:31.8400580Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8400654Z raise AttributeError(attr) 2022-12-01T10:45:31.8400780Z AttributeError: _FooReadWrite 2022-12-01T10:45:31.8400785Z 2022-12-01T10:45:31.8400915Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8400920Z 2022-12-01T10:45:31.8401007Z Traceback (most recent call last): 2022-12-01T10:45:31.8401150Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8401229Z raise Unsupported(msg) 2022-12-01T10:45:31.8401509Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8401514Z 2022-12-01T10:45:31.8401581Z from user code: 2022-12-01T10:45:31.8401666Z File "", line 2, in foo_readwrite 2022-12-01T10:45:31.8401700Z 2022-12-01T10:45:31.8401828Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8401893Z ========== 2022-12-01T10:45:31.8402181Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT foo_readwrite /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 182 2022-12-01T10:45:31.8402244Z due to: 2022-12-01T10:45:31.8402332Z Traceback (most recent call last): 2022-12-01T10:45:31.8402467Z File "/opt/conda/lib/python3.7/inspect.py", line 1609, in getattr_static 2022-12-01T10:45:31.8402541Z raise AttributeError(attr) 2022-12-01T10:45:31.8402627Z AttributeError: _FooReadWrite 2022-12-01T10:45:31.8402632Z 2022-12-01T10:45:31.8402764Z During handling of the above exception, another exception occurred: 2022-12-01T10:45:31.8402769Z 2022-12-01T10:45:31.8402856Z Traceback (most recent call last): 2022-12-01T10:45:31.8403001Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8403079Z raise Unsupported(msg) 2022-12-01T10:45:31.8403398Z torchdynamo.exc.Unsupported: inline in skipfiles: __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_classes.py 2022-12-01T10:45:31.8403406Z 2022-12-01T10:45:31.8403495Z from user code: 2022-12-01T10:45:31.8403645Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 183, in foo_readwrite 2022-12-01T10:45:31.8403783Z fooReadWrite = torch.classes._TorchScriptTesting._FooReadWrite(5, 6) 2022-12-01T10:45:31.8403788Z 2022-12-01T10:45:31.8403915Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8403972Z ========== 2022-12-01T10:45:31.8404034Z ok (0.020s) 2022-12-01T10:45:31.8404178Z test_torchbind_getattr (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-12-01T10:45:31.8404322Z test_torchbind_getstate (jit.test_torchbind.TestTorchbind) ... ok (0.010s) 2022-12-01T10:45:31.8404489Z test_torchbind_instantiate_missing_class (jit.test_torchbind.TestTorchbind) ... ok (0.007s) 2022-12-01T10:45:31.8404628Z test_torchbind_lambda_method (jit.test_torchbind.TestTorchbind) ... ok (0.013s) 2022-12-01T10:45:31.8404771Z test_torchbind_no_init (jit.test_torchbind.TestTorchbind) ... ok (0.007s) 2022-12-01T10:45:31.8405232Z test_torchbind_optional_explicit_attr (jit.test_torchbind.TestTorchbind) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TorchBindOptionalExplicitAttr /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 371 2022-12-01T10:45:31.8405296Z due to: 2022-12-01T10:45:31.8405385Z Traceback (most recent call last): 2022-12-01T10:45:31.8405529Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8405610Z raise Unsupported(msg) 2022-12-01T10:45:31.8405731Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8405736Z 2022-12-01T10:45:31.8405807Z from user code: 2022-12-01T10:45:31.8405981Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 371, in TorchBindOptionalExplicitAttr 2022-12-01T10:45:31.8406119Z class TorchBindOptionalExplicitAttr(torch.nn.Module): 2022-12-01T10:45:31.8406124Z 2022-12-01T10:45:31.8406251Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8406310Z ========== 2022-12-01T10:45:31.8406372Z ok (0.008s) 2022-12-01T10:45:31.8406522Z test_torchbind_pass_wrong_type (jit.test_torchbind.TestTorchbind) ... ok (0.006s) 2022-12-01T10:45:31.8406751Z test_torchbind_pickle_serialization (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-12-01T10:45:31.8406893Z test_torchbind_python_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.008s) 2022-12-01T10:45:31.8407488Z test_torchbind_return_instance (jit.test_torchbind.TestTorchbind) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_torchbind.py line 112 2022-12-01T10:45:31.8407551Z due to: 2022-12-01T10:45:31.8407639Z Traceback (most recent call last): 2022-12-01T10:45:31.8407845Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8408099Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8408403Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8408411Z 2022-12-01T10:45:31.8408480Z from user code: 2022-12-01T10:45:31.8408668Z File "/var/lib/jenkins/workspace/test/jit/test_torchbind.py", line 115, in 2022-12-01T10:45:31.8408866Z fc = FileCheck().check('prim::CreateObject()')\ 2022-12-01T10:45:31.8408882Z 2022-12-01T10:45:31.8408999Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8409058Z ========== 2022-12-01T10:45:31.8409120Z ok (0.009s) 2022-12-01T10:45:31.8409287Z test_torchbind_return_instance_from_method (jit.test_torchbind.TestTorchbind) ... ok (0.016s) 2022-12-01T10:45:31.8409439Z test_torchbind_return_tuple (jit.test_torchbind.TestTorchbind) ... ok (0.013s) 2022-12-01T10:45:31.8409583Z test_torchbind_save_load (jit.test_torchbind.TestTorchbind) ... ok (0.011s) 2022-12-01T10:45:31.8409729Z test_torchbind_take_as_arg (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-12-01T10:45:31.8409884Z test_torchbind_take_instance_as_method_arg (jit.test_torchbind.TestTorchbind) ... ok (0.014s) 2022-12-01T10:45:31.8410029Z test_torchbind_tracing (jit.test_torchbind.TestTorchbind) ... ok (0.009s) 2022-12-01T10:45:31.8410179Z test_torchbind_tracing_nested (jit.test_torchbind.TestTorchbind) ... ok (0.014s) 2022-12-01T10:45:31.8410328Z test_call_traced_fn_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-12-01T10:45:31.8410480Z test_call_traced_module_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.026s) 2022-12-01T10:45:31.8410626Z test_canonicalize_tensor_iterator (jit.test_tracer.TestTracer) ... ok (0.042s) 2022-12-01T10:45:31.8410745Z test_constant (jit.test_tracer.TestTracer) ... ok (0.019s) 2022-12-01T10:45:31.8410860Z test_conv (jit.test_tracer.TestTracer) ... ok (0.045s) 2022-12-01T10:45:31.8411271Z test_export_no_reorder (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1027 2022-12-01T10:45:31.8411338Z due to: 2022-12-01T10:45:31.8411426Z Traceback (most recent call last): 2022-12-01T10:45:31.8411652Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.8411836Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.8412027Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.8412033Z 2022-12-01T10:45:31.8412102Z from user code: 2022-12-01T10:45:31.8412276Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1028, in 2022-12-01T10:45:31.8412359Z outputs_ge2 = ge2(*recording_inputs) 2022-12-01T10:45:31.8412376Z 2022-12-01T10:45:31.8412495Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8412555Z ========== 2022-12-01T10:45:31.8412620Z ok (0.038s) 2022-12-01T10:45:31.8412763Z test_force_outplace_check_fill (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-12-01T10:45:31.8412948Z test_force_outplace_check_zero (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-12-01T10:45:31.8413061Z test_ge (jit.test_tracer.TestTracer) ... ok (0.112s) 2022-12-01T10:45:31.8413198Z test_ge_cuda (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.000s) 2022-12-01T10:45:31.8413312Z test_ge_optimized (jit.test_tracer.TestTracer) ... ok (0.254s) 2022-12-01T10:45:31.8413435Z test_ge_unoptimized (jit.test_tracer.TestTracer) ... ok (0.090s) 2022-12-01T10:45:31.8413558Z test_index_put (jit.test_tracer.TestTracer) ... ok (0.031s) 2022-12-01T10:45:31.8414029Z test_index_put_trace_with_view (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1564 2022-12-01T10:45:31.8414096Z due to: 2022-12-01T10:45:31.8414184Z Traceback (most recent call last): 2022-12-01T10:45:31.8414333Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8414583Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8414813Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8414830Z 2022-12-01T10:45:31.8414887Z from user code: 2022-12-01T10:45:31.8415071Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1569, in 2022-12-01T10:45:31.8415219Z FileCheck().check("aten::view").check("index_put_").run(str(test_index_put.graph)) 2022-12-01T10:45:31.8415225Z 2022-12-01T10:45:31.8415418Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8415509Z ========== 2022-12-01T10:45:31.8415604Z ok (0.018s) 2022-12-01T10:45:31.8416188Z test_index_put_trace_without_view (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1572 2022-12-01T10:45:31.8416255Z due to: 2022-12-01T10:45:31.8416335Z Traceback (most recent call last): 2022-12-01T10:45:31.8416491Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8416737Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8416981Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8416986Z 2022-12-01T10:45:31.8417054Z from user code: 2022-12-01T10:45:31.8417239Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1577, in 2022-12-01T10:45:31.8417393Z FileCheck().check_not("aten::view").check("index_put_").run(str(test_index_put.graph)) 2022-12-01T10:45:31.8417398Z 2022-12-01T10:45:31.8417525Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8417589Z ========== 2022-12-01T10:45:31.8417641Z ok (0.017s) 2022-12-01T10:45:31.8417770Z test_inplace_check (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-12-01T10:45:31.8417896Z test_inplace_copy (jit.test_tracer.TestTracer) ... ok (0.050s) 2022-12-01T10:45:31.8418350Z test_inplace_copy_force_outplace (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 830 2022-12-01T10:45:31.8418412Z due to: 2022-12-01T10:45:31.8418503Z Traceback (most recent call last): 2022-12-01T10:45:31.8418659Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8418896Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8419140Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8419206Z 2022-12-01T10:45:31.8419276Z from user code: 2022-12-01T10:45:31.8419461Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 831, in 2022-12-01T10:45:31.8419559Z FileCheck().check("expand_as").run(str(g)) 2022-12-01T10:45:31.8419564Z 2022-12-01T10:45:31.8419690Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8419750Z ========== 2022-12-01T10:45:31.8419815Z ok (0.054s) 2022-12-01T10:45:31.8419932Z test_inplace_flags (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-12-01T10:45:31.8420379Z test_inplace_transplant (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 282 2022-12-01T10:45:31.8420444Z due to: 2022-12-01T10:45:31.8420532Z Traceback (most recent call last): 2022-12-01T10:45:31.8420683Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8420930Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8421176Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8421181Z 2022-12-01T10:45:31.8421248Z from user code: 2022-12-01T10:45:31.8421426Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 283, in 2022-12-01T10:45:31.8421535Z FileCheck().check_count("aten::clone", 1, exactly=True) \ 2022-12-01T10:45:31.8421549Z 2022-12-01T10:45:31.8421666Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8421727Z ========== 2022-12-01T10:45:31.8421792Z ok (0.022s) 2022-12-01T10:45:31.8421919Z test_inplace_warn (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-12-01T10:45:31.8422059Z test_input_dict_checkTrace_mut (jit.test_tracer.TestTracer) ... ok (0.017s) 2022-12-01T10:45:31.8422186Z test_input_dict_empty (jit.test_tracer.TestTracer) ... ok (0.041s) 2022-12-01T10:45:31.8422321Z test_input_dict_empty_list (jit.test_tracer.TestTracer) ... ok (0.041s) 2022-12-01T10:45:31.8422440Z test_input_dict_insertion_order (jit.test_tracer.TestTracer) 2022-12-01T10:45:31.8422645Z Check that dictionary access doesn't care about insertion order ... ok (0.015s) 2022-12-01T10:45:31.8422779Z test_input_dict_of_dicts (jit.test_tracer.TestTracer) ... ok (0.016s) 2022-12-01T10:45:31.8422908Z test_input_dict_of_lists (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-12-01T10:45:31.8423041Z test_input_dict_recursive (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-12-01T10:45:31.8423169Z test_input_dict_remembers_keys (jit.test_tracer.TestTracer) 2022-12-01T10:45:31.8423308Z Check that the trace remembers which keys were in a dict input ... ok (0.017s) 2022-12-01T10:45:31.8423439Z test_input_dict_unify (jit.test_tracer.TestTracer) ... ok (0.015s) 2022-12-01T10:45:31.8423540Z test_input_flatten (jit.test_tracer.TestTracer) 2022-12-01T10:45:31.8423668Z Check that inputs to traced functions are flattened ... ok (0.023s) 2022-12-01T10:45:31.8423801Z test_input_list_mixed_type (jit.test_tracer.TestTracer) ... ok (0.016s) 2022-12-01T10:45:31.8423934Z test_input_list_of_tuples (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-12-01T10:45:31.8424072Z test_input_list_toplevel_flatten (jit.test_tracer.TestTracer) ... ok (0.019s) 2022-12-01T10:45:31.8424221Z test_input_list_toplevel_flatten_direct (jit.test_tracer.TestTracer) ... ok (0.010s) 2022-12-01T10:45:31.8424351Z test_input_tuple_of_dicts (jit.test_tracer.TestTracer) ... ok (0.015s) 2022-12-01T10:45:31.8424473Z test_interpolate_trace (jit.test_tracer.TestTracer) ... ok (0.038s) 2022-12-01T10:45:31.8424626Z test_large_nbr_kernel_args (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.001s) 2022-12-01T10:45:31.8424753Z test_lhs_index_fails (jit.test_tracer.TestTracer) ... ok (0.017s) 2022-12-01T10:45:31.8424879Z test_lhs_index_trivial (jit.test_tracer.TestTracer) ... ok (0.016s) 2022-12-01T10:45:31.8425297Z test_max_pool (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 770 2022-12-01T10:45:31.8425358Z due to: 2022-12-01T10:45:31.8425448Z Traceback (most recent call last): 2022-12-01T10:45:31.8425602Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8425850Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8426083Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8426117Z 2022-12-01T10:45:31.8426190Z from user code: 2022-12-01T10:45:31.8426356Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 771, in 2022-12-01T10:45:31.8426468Z FileCheck().check("aten::max_pool2d(").run(graph) 2022-12-01T10:45:31.8426476Z 2022-12-01T10:45:31.8426604Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8426663Z ========== 2022-12-01T10:45:31.8426726Z ok (0.032s) 2022-12-01T10:45:31.8427135Z test_nested_inplace (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 779 2022-12-01T10:45:31.8427189Z due to: 2022-12-01T10:45:31.8427279Z Traceback (most recent call last): 2022-12-01T10:45:31.8427430Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8427672Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8427912Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8427916Z 2022-12-01T10:45:31.8427983Z from user code: 2022-12-01T10:45:31.8428151Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 780, in 2022-12-01T10:45:31.8428258Z FileCheck().check("threshold_").run(str(g)) 2022-12-01T10:45:31.8428263Z 2022-12-01T10:45:31.8428382Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8428443Z ========== 2022-12-01T10:45:31.8428505Z ok (0.037s) 2022-12-01T10:45:31.8428638Z test_non_tensor_tracing (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-12-01T10:45:31.8428755Z test_output_unflatten (jit.test_tracer.TestTracer) 2022-12-01T10:45:31.8428931Z Check that outputs of traced functions retain the original structure and nesting ... expected failure (0.023s) 2022-12-01T10:45:31.8429062Z test_python_function (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-12-01T10:45:31.8429196Z test_python_function_tup (jit.test_tracer.TestTracer) ... ok (0.016s) 2022-12-01T10:45:31.8429313Z test_repeated_input (jit.test_tracer.TestTracer) ... ok (0.037s) 2022-12-01T10:45:31.8429442Z test_repeated_output (jit.test_tracer.TestTracer) ... ok (0.055s) 2022-12-01T10:45:31.8429564Z test_shared_param (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-12-01T10:45:31.8429680Z test_simple (jit.test_tracer.TestTracer) ... ok (0.030s) 2022-12-01T10:45:31.8429819Z test_tensor_with_grad_as_constant (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-12-01T10:45:31.8429958Z test_trace_aliased_parameter (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-12-01T10:45:31.8430089Z test_trace_annotation (jit.test_tracer.TestTracer) ... ok (0.028s) 2022-12-01T10:45:31.8430209Z test_trace_arange (jit.test_tracer.TestTracer) ... ok (0.224s) 2022-12-01T10:45:31.8430335Z test_trace_arange_with_grad (jit.test_tracer.TestTracer) ... ok (0.161s) 2022-12-01T10:45:31.8430472Z test_trace_autograd_function (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-12-01T10:45:31.8430846Z test_trace_c10_ops (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_trace_c10_ops /var/lib/jenkins/workspace/test/jit/test_tracer.py line 848 2022-12-01T10:45:31.8430941Z due to: 2022-12-01T10:45:31.8431030Z Traceback (most recent call last): 2022-12-01T10:45:31.8431249Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 501, in __getattr__ 2022-12-01T10:45:31.8431382Z op, overload_names = torch._C._jit_get_operation(qualified_op_name) 2022-12-01T10:45:31.8431511Z RuntimeError: No such operator _caffe2::GenerateProposals 2022-12-01T10:45:31.8431516Z 2022-12-01T10:45:31.8431638Z The above exception was the direct cause of the following exception: 2022-12-01T10:45:31.8431642Z 2022-12-01T10:45:31.8431731Z Traceback (most recent call last): 2022-12-01T10:45:31.8431980Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 507, in __getattr__ 2022-12-01T10:45:31.8432044Z ) from e 2022-12-01T10:45:31.8432270Z AttributeError: '_OpNamespace' '_caffe2' object has no attribute 'GenerateProposals' 2022-12-01T10:45:31.8432275Z 2022-12-01T10:45:31.8432344Z from user code: 2022-12-01T10:45:31.8432499Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 850, in test_trace_c10_ops 2022-12-01T10:45:31.8432606Z _ = torch.ops._caffe2.GenerateProposals 2022-12-01T10:45:31.8432611Z 2022-12-01T10:45:31.8432729Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8432792Z ========== 2022-12-01T10:45:31.8432913Z skip: Skip the test since c2 ops are not registered. (0.008s) 2022-12-01T10:45:31.8433033Z test_trace_casts (jit.test_tracer.TestTracer) ... ok (0.108s) 2022-12-01T10:45:31.8433173Z test_trace_checker_control_flow (jit.test_tracer.TestTracer) ... ok (0.015s) 2022-12-01T10:45:31.8433312Z test_trace_checker_dot_data (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-12-01T10:45:31.8433457Z test_trace_checker_dropout_notrain (jit.test_tracer.TestTracer) ... ok (0.024s) 2022-12-01T10:45:31.8433597Z test_trace_checker_dropout_train (jit.test_tracer.TestTracer) ... ok (0.025s) 2022-12-01T10:45:31.8433732Z test_trace_checker_inplace_on_view (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-12-01T10:45:31.8433876Z test_trace_checker_memoization (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-12-01T10:45:31.8434009Z test_trace_checker_slice_lhs (jit.test_tracer.TestTracer) ... ok (0.024s) 2022-12-01T10:45:31.8434402Z test_trace_checking_with_global_name (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyClass /var/lib/jenkins/workspace/test/jit/test_tracer.py line 89 2022-12-01T10:45:31.8434465Z due to: 2022-12-01T10:45:31.8434556Z Traceback (most recent call last): 2022-12-01T10:45:31.8434702Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8434783Z raise Unsupported(msg) 2022-12-01T10:45:31.8434894Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8434899Z 2022-12-01T10:45:31.8434969Z from user code: 2022-12-01T10:45:31.8435106Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 89, in MyClass 2022-12-01T10:45:31.8435200Z class MyClass(torch.nn.Module): 2022-12-01T10:45:31.8435205Z 2022-12-01T10:45:31.8435332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8435394Z ========== 2022-12-01T10:45:31.8435459Z ok (0.013s) 2022-12-01T10:45:31.8435872Z test_trace_contiguous (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1680 2022-12-01T10:45:31.8435924Z due to: 2022-12-01T10:45:31.8436014Z Traceback (most recent call last): 2022-12-01T10:45:31.8436165Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8436413Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8436627Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:45:31.8436633Z 2022-12-01T10:45:31.8436702Z from user code: 2022-12-01T10:45:31.8436910Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1681, in 2022-12-01T10:45:31.8437044Z self.assertNotEqual(x.storage().data_ptr(), y.storage().data_ptr()) 2022-12-01T10:45:31.8437049Z 2022-12-01T10:45:31.8437165Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8437223Z ========== 2022-12-01T10:45:31.8437284Z ok (0.023s) 2022-12-01T10:45:31.8437736Z test_trace_contiguous_short_circuit (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1694 2022-12-01T10:45:31.8437827Z due to: 2022-12-01T10:45:31.8437918Z Traceback (most recent call last): 2022-12-01T10:45:31.8438071Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8438313Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8438545Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8438560Z 2022-12-01T10:45:31.8438617Z from user code: 2022-12-01T10:45:31.8438802Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1695, in 2022-12-01T10:45:31.8438931Z FileCheck().check("aten::contiguous").run(str(traced.graph)) 2022-12-01T10:45:31.8438936Z 2022-12-01T10:45:31.8439062Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8439122Z ========== 2022-12-01T10:45:31.8439183Z ok (0.012s) 2022-12-01T10:45:31.8439578Z test_trace_detach (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1077 2022-12-01T10:45:31.8439637Z due to: 2022-12-01T10:45:31.8439715Z Traceback (most recent call last): 2022-12-01T10:45:31.8439868Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8440111Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8440351Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8440356Z 2022-12-01T10:45:31.8440423Z from user code: 2022-12-01T10:45:31.8440589Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1079, in 2022-12-01T10:45:31.8440718Z FileCheck().check("matmul").check("detach").run(str(traced.graph)) 2022-12-01T10:45:31.8440723Z 2022-12-01T10:45:31.8440854Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8440903Z ========== 2022-12-01T10:45:31.8440966Z ok (0.021s) 2022-12-01T10:45:31.8441390Z test_trace_detach_inplace (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1105 2022-12-01T10:45:31.8441454Z due to: 2022-12-01T10:45:31.8441542Z Traceback (most recent call last): 2022-12-01T10:45:31.8441692Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8441933Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8442173Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8442179Z 2022-12-01T10:45:31.8442236Z from user code: 2022-12-01T10:45:31.8442417Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1107, in 2022-12-01T10:45:31.8442547Z FileCheck().check("matmul").check("detach(").run(str(traced.graph)) 2022-12-01T10:45:31.8442552Z 2022-12-01T10:45:31.8442679Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8442766Z ========== 2022-12-01T10:45:31.8442829Z ok (0.021s) 2022-12-01T10:45:31.8442980Z test_trace_detach_inplace_redispatch (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-12-01T10:45:31.8443117Z test_trace_detach_onnx_erase (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-12-01T10:45:31.8443243Z test_trace_detach_redispatch (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-12-01T10:45:31.8443374Z test_trace_dict_input (jit.test_tracer.TestTracer) ... ok (0.024s) 2022-12-01T10:45:31.8443506Z test_trace_dict_output (jit.test_tracer.TestTracer) ... ok (0.021s) 2022-12-01T10:45:31.8443893Z test_trace_export_fns (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1294 2022-12-01T10:45:31.8443958Z due to: 2022-12-01T10:45:31.8444048Z Traceback (most recent call last): 2022-12-01T10:45:31.8444196Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8444280Z raise Unsupported(msg) 2022-12-01T10:45:31.8444390Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8444395Z 2022-12-01T10:45:31.8444465Z from user code: 2022-12-01T10:45:31.8444600Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1294, in Foo 2022-12-01T10:45:31.8444683Z class Foo(torch.nn.Module): 2022-12-01T10:45:31.8444688Z 2022-12-01T10:45:31.8444814Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8444876Z ========== 2022-12-01T10:45:31.8444941Z ok (0.197s) 2022-12-01T10:45:31.8445307Z test_trace_export_fns_recursive (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1325 2022-12-01T10:45:31.8445370Z due to: 2022-12-01T10:45:31.8445461Z Traceback (most recent call last): 2022-12-01T10:45:31.8445605Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8445688Z raise Unsupported(msg) 2022-12-01T10:45:31.8445806Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8445811Z 2022-12-01T10:45:31.8445879Z from user code: 2022-12-01T10:45:31.8446015Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1325, in Foo 2022-12-01T10:45:31.8446089Z class Foo(torch.nn.Module): 2022-12-01T10:45:31.8446094Z 2022-12-01T10:45:31.8446221Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8446279Z ========== 2022-12-01T10:45:31.8446544Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Bar /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1364 2022-12-01T10:45:31.8446603Z due to: 2022-12-01T10:45:31.8446692Z Traceback (most recent call last): 2022-12-01T10:45:31.8446844Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8446915Z raise Unsupported(msg) 2022-12-01T10:45:31.8447178Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8447186Z 2022-12-01T10:45:31.8447255Z from user code: 2022-12-01T10:45:31.8447392Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1364, in Bar 2022-12-01T10:45:31.8447467Z class Bar(nn.Module): 2022-12-01T10:45:31.8447472Z 2022-12-01T10:45:31.8447600Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8447662Z ========== 2022-12-01T10:45:31.8447954Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT WrapperExports /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1378 2022-12-01T10:45:31.8448005Z due to: 2022-12-01T10:45:31.8448094Z Traceback (most recent call last): 2022-12-01T10:45:31.8448242Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8448399Z raise Unsupported(msg) 2022-12-01T10:45:31.8448519Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8448524Z 2022-12-01T10:45:31.8448589Z from user code: 2022-12-01T10:45:31.8448742Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1378, in WrapperExports 2022-12-01T10:45:31.8448910Z class WrapperExports(torch.nn.Module): 2022-12-01T10:45:31.8448915Z 2022-12-01T10:45:31.8449031Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8449091Z ========== 2022-12-01T10:45:31.8449155Z ok (0.366s) 2022-12-01T10:45:31.8449297Z test_trace_fork_join_and_module (jit.test_tracer.TestTracer) ... ok (0.039s) 2022-12-01T10:45:31.8449434Z test_trace_full_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.042s) 2022-12-01T10:45:31.8449948Z test_trace_func_argument_names_captured (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1960 2022-12-01T10:45:31.8450012Z due to: 2022-12-01T10:45:31.8450100Z Traceback (most recent call last): 2022-12-01T10:45:31.8450243Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8450492Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8450734Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8450739Z 2022-12-01T10:45:31.8450807Z from user code: 2022-12-01T10:45:31.8450999Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1961, in 2022-12-01T10:45:31.8451118Z FileCheck().check("first_arg").check_next("second_arg") \ 2022-12-01T10:45:31.8451124Z 2022-12-01T10:45:31.8451250Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8451312Z ========== 2022-12-01T10:45:31.8451364Z ok (0.014s) 2022-12-01T10:45:31.8451489Z test_trace_index (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-12-01T10:45:31.8451621Z test_trace_index_constant (jit.test_tracer.TestTracer) ... ok (0.049s) 2022-12-01T10:45:31.8451760Z test_trace_indexed_assignment (jit.test_tracer.TestTracer) ... ok (0.022s) 2022-12-01T10:45:31.8452177Z test_trace_inline_shape (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1249 2022-12-01T10:45:31.8452238Z due to: 2022-12-01T10:45:31.8452328Z Traceback (most recent call last): 2022-12-01T10:45:31.8452486Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8452593Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8452896Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8452901Z 2022-12-01T10:45:31.8452966Z from user code: 2022-12-01T10:45:31.8453141Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1250, in 2022-12-01T10:45:31.8453304Z self.run_pass('inline', traced_tensor_size.graph) 2022-12-01T10:45:31.8453312Z 2022-12-01T10:45:31.8453442Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8453501Z ========== 2022-12-01T10:45:31.8453564Z ok (0.090s) 2022-12-01T10:45:31.8453679Z test_trace_inverse (jit.test_tracer.TestTracer) ... ok (0.025s) 2022-12-01T10:45:31.8453825Z test_trace_invert_module_hierarchy (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-12-01T10:45:31.8453954Z test_trace_legacy_ctor (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-12-01T10:45:31.8454358Z test_trace_module_argument_names_captured (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestModule /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1973 2022-12-01T10:45:31.8454421Z due to: 2022-12-01T10:45:31.8454507Z Traceback (most recent call last): 2022-12-01T10:45:31.8454656Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8454770Z raise Unsupported(msg) 2022-12-01T10:45:31.8454880Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8454885Z 2022-12-01T10:45:31.8454954Z from user code: 2022-12-01T10:45:31.8455097Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1973, in TestModule 2022-12-01T10:45:31.8455187Z class TestModule(nn.Module): 2022-12-01T10:45:31.8455192Z 2022-12-01T10:45:31.8455320Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8455379Z ========== 2022-12-01T10:45:31.8455442Z ok (0.037s) 2022-12-01T10:45:31.8455575Z test_trace_modulelist (jit.test_tracer.TestTracer) ... ok (0.031s) 2022-12-01T10:45:31.8455775Z test_trace_multi_output_function (jit.test_tracer.TestTracer) ... graph(%self : __torch__.jit.test_tracer.Bar, 2022-12-01T10:45:31.8455893Z %x.1 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu), 2022-12-01T10:45:31.8456012Z %y.1 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu)): 2022-12-01T10:45:31.8456222Z %x : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%x.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1437:0 2022-12-01T10:45:31.8456418Z %y : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%y.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1438:0 2022-12-01T10:45:31.8456714Z %9 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = ^Foo[inplace=0, module="jit.test_tracer", Subgraph=]()(%x, %y) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1439:0 2022-12-01T10:45:31.8456921Z %10 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), %11 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = prim::TupleUnpack(%9) 2022-12-01T10:45:31.8457129Z %12 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = prim::TupleConstruct(%10, %11) 2022-12-01T10:45:31.8457196Z return (%12) 2022-12-01T10:45:31.8457203Z 2022-12-01T10:45:31.8457264Z ok (0.013s) 2022-12-01T10:45:31.8457397Z test_trace_namedtuple (jit.test_tracer.TestTracer) ... ok (0.033s) 2022-12-01T10:45:31.8457524Z test_trace_nested_datatypes (jit.test_tracer.TestTracer) ... ok (0.055s) 2022-12-01T10:45:31.8457651Z test_trace_nested_fn (jit.test_tracer.TestTracer) ... ok (0.017s) 2022-12-01T10:45:31.8457771Z test_trace_numel (jit.test_tracer.TestTracer) ... ok (0.039s) 2022-12-01T10:45:31.8457904Z test_trace_optioanl_dtype (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-12-01T10:45:31.8458314Z test_trace_optional (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1500 2022-12-01T10:45:31.8458378Z due to: 2022-12-01T10:45:31.8458468Z Traceback (most recent call last): 2022-12-01T10:45:31.8458630Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8458741Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8459037Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8459042Z 2022-12-01T10:45:31.8459111Z from user code: 2022-12-01T10:45:31.8459283Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1502, in 2022-12-01T10:45:31.8459363Z graph = f_tensor.graph 2022-12-01T10:45:31.8459368Z 2022-12-01T10:45:31.8459494Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8459555Z ========== 2022-12-01T10:45:31.8459618Z ok (0.082s) 2022-12-01T10:45:31.8460110Z test_trace_partial_func_argument_names_captured (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1968 2022-12-01T10:45:31.8460212Z due to: 2022-12-01T10:45:31.8460301Z Traceback (most recent call last): 2022-12-01T10:45:31.8460455Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8460701Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8460945Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8460950Z 2022-12-01T10:45:31.8461017Z from user code: 2022-12-01T10:45:31.8461216Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1969, in 2022-12-01T10:45:31.8461354Z FileCheck().check("first_arg").check_not("second_arg") \ 2022-12-01T10:45:31.8461370Z 2022-12-01T10:45:31.8461488Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8461549Z ========== 2022-12-01T10:45:31.8461610Z ok (0.014s) 2022-12-01T10:45:31.8462006Z test_trace_random (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 558 2022-12-01T10:45:31.8462073Z due to: 2022-12-01T10:45:31.8462163Z Traceback (most recent call last): 2022-12-01T10:45:31.8462316Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8462550Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8462848Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:45:31.8462854Z 2022-12-01T10:45:31.8462925Z from user code: 2022-12-01T10:45:31.8463094Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 560, in 2022-12-01T10:45:31.8463198Z with torch.random.fork_rng(devices=[]): 2022-12-01T10:45:31.8463203Z 2022-12-01T10:45:31.8463332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8463392Z ========== 2022-12-01T10:45:31.8463456Z ok (0.019s) 2022-12-01T10:45:31.8463878Z test_trace_records_names (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 1792 2022-12-01T10:45:31.8463930Z due to: 2022-12-01T10:45:31.8464017Z Traceback (most recent call last): 2022-12-01T10:45:31.8464177Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8464294Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8464594Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8464600Z 2022-12-01T10:45:31.8464667Z from user code: 2022-12-01T10:45:31.8464840Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 1793, in 2022-12-01T10:45:31.8464932Z graph_str = str(traced.graph) 2022-12-01T10:45:31.8464937Z 2022-12-01T10:45:31.8465054Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8465111Z ========== 2022-12-01T10:45:31.8465174Z ok (0.019s) 2022-12-01T10:45:31.8465298Z test_trace_save (jit.test_tracer.TestTracer) ... ok (0.029s) 2022-12-01T10:45:31.8465433Z test_trace_save_load_copy (jit.test_tracer.TestTracer) ... ok (0.029s) 2022-12-01T10:45:31.8465565Z test_trace_single_tuple (jit.test_tracer.TestTracer) ... ok (0.018s) 2022-12-01T10:45:31.8465686Z test_trace_size (jit.test_tracer.TestTracer) ... ok (0.131s) 2022-12-01T10:45:31.8465808Z test_trace_size_with_grad (jit.test_tracer.TestTracer) ... ok (0.081s) 2022-12-01T10:45:31.8465948Z test_trace_skip_none_submodule (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-12-01T10:45:31.8466069Z test_trace_slice (jit.test_tracer.TestTracer) ... ok (0.213s) 2022-12-01T10:45:31.8466244Z test_trace_slice_expr_complete_type (jit.test_tracer.TestTracer) ... ok (0.040s) 2022-12-01T10:45:31.8466372Z test_trace_slice_full_dim (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-12-01T10:45:31.8466519Z test_trace_slice_setitem_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.035s) 2022-12-01T10:45:31.8466651Z test_trace_slice_with_grad (jit.test_tracer.TestTracer) ... ok (0.191s) 2022-12-01T10:45:31.8467036Z test_trace_tensor_factory (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 578 2022-12-01T10:45:31.8467097Z due to: 2022-12-01T10:45:31.8467208Z Traceback (most recent call last): 2022-12-01T10:45:31.8467370Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8467490Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8467789Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8467797Z 2022-12-01T10:45:31.8467865Z from user code: 2022-12-01T10:45:31.8468018Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 579, in 2022-12-01T10:45:31.8468121Z self.assertTrue("ones" in str(tfn.graph)) 2022-12-01T10:45:31.8468126Z 2022-12-01T10:45:31.8468252Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8468301Z ========== 2022-12-01T10:45:31.8468563Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn /var/lib/jenkins/workspace/test/jit/test_tracer.py line 569 2022-12-01T10:45:31.8468626Z due to: 2022-12-01T10:45:31.8468716Z Traceback (most recent call last): 2022-12-01T10:45:31.8468874Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 261, in call_function 2022-12-01T10:45:31.8468964Z assert name in tx.symbolic_locals 2022-12-01T10:45:31.8469036Z AssertionError 2022-12-01T10:45:31.8469043Z 2022-12-01T10:45:31.8469099Z from user code: 2022-12-01T10:45:31.8469234Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 570, in fn 2022-12-01T10:45:31.8469322Z return x + torch.ones(2, 3, **kwargs) 2022-12-01T10:45:31.8469327Z 2022-12-01T10:45:31.8469453Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8469514Z ========== 2022-12-01T10:45:31.8469575Z ok (0.115s) 2022-12-01T10:45:31.8469929Z test_trace_topk (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 167 2022-12-01T10:45:31.8469991Z due to: 2022-12-01T10:45:31.8470068Z Traceback (most recent call last): 2022-12-01T10:45:31.8470292Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.8470478Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.8470668Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.8470676Z 2022-12-01T10:45:31.8470742Z from user code: 2022-12-01T10:45:31.8470883Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 167, in 2022-12-01T10:45:31.8471127Z self.assertNotWarn(lambda: traced_func(*test_inputs), "Shouldn't throw slicing related warn here") 2022-12-01T10:45:31.8471133Z 2022-12-01T10:45:31.8471255Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8471305Z ========== 2022-12-01T10:45:31.8471577Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 173 2022-12-01T10:45:31.8471639Z due to: 2022-12-01T10:45:31.8471729Z Traceback (most recent call last): 2022-12-01T10:45:31.8471952Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:45:31.8472135Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:45:31.8472327Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:45:31.8472362Z 2022-12-01T10:45:31.8472429Z from user code: 2022-12-01T10:45:31.8472560Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 173, in 2022-12-01T10:45:31.8472808Z self.assertNotWarn(lambda: traced_func(*test_inputs), "Shouldn't throw slicing related warn here") 2022-12-01T10:45:31.8472813Z 2022-12-01T10:45:31.8472944Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8473004Z ========== 2022-12-01T10:45:31.8473611Z /var/lib/jenkins/workspace/test/jit/test_tracer.py:158: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! 2022-12-01T10:45:31.8473693Z return x.topk(y, dim=1)[1] 2022-12-01T10:45:31.8473757Z ok (0.021s) 2022-12-01T10:45:31.8474152Z test_trace_tuple (jit.test_tracer.TestTracer) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_tracer.py line 548 2022-12-01T10:45:31.8474217Z due to: 2022-12-01T10:45:31.8474296Z Traceback (most recent call last): 2022-12-01T10:45:31.8474449Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8474697Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8474943Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8474947Z 2022-12-01T10:45:31.8475014Z from user code: 2022-12-01T10:45:31.8475185Z File "/var/lib/jenkins/workspace/test/jit/test_tracer.py", line 550, in 2022-12-01T10:45:31.8475344Z FileCheck().check_count("prim::TupleConstruct", 2, exactly=True).check_next("return") \ 2022-12-01T10:45:31.8475349Z 2022-12-01T10:45:31.8475479Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8475528Z ========== 2022-12-01T10:45:31.8475591Z ok (0.044s) 2022-12-01T10:45:31.8475737Z test_trace_variable_instantiation (jit.test_tracer.TestTracer) ... ok (0.026s) 2022-12-01T10:45:31.8475857Z test_trace_warn (jit.test_tracer.TestTracer) ... ok (0.792s) 2022-12-01T10:45:31.8476006Z test_trace_with_conditional_property (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-12-01T10:45:31.8476159Z test_trace_with_nested_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-12-01T10:45:31.8476302Z test_trace_with_number_list_output (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-12-01T10:45:31.8476448Z test_trace_with_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-12-01T10:45:31.8476586Z test_traced_module_cuda (jit.test_tracer.TestTracer) ... skip: calls .cuda() (0.002s) 2022-12-01T10:45:31.8476726Z test_tracing_backward_hook_error (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-12-01T10:45:31.8476897Z test_tracing_hooks (jit.test_tracer.TestTracer) ... skip: Not a suitable test for TorchDynamo (0.002s) 2022-12-01T10:45:31.8477034Z test_tracing_multiple_methods (jit.test_tracer.TestTracer) ... ok (0.122s) 2022-12-01T10:45:31.8477163Z test_typeas_trace_check (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-12-01T10:45:31.8477290Z test_wrapped_number (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-12-01T10:45:31.8477426Z test_assign_python_attr (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8477649Z Assigning a new (python-only) attribute should not change type sharing ... ok (0.085s) 2022-12-01T10:45:31.8477776Z test_basic (jit.test_type_sharing.TestTypeSharing) ... ok (0.027s) 2022-12-01T10:45:31.8477932Z test_builtin_function_different (jit.test_type_sharing.TestTypeSharing) ... ok (0.018s) 2022-12-01T10:45:31.8478081Z test_builtin_function_same (jit.test_type_sharing.TestTypeSharing) ... ok (0.017s) 2022-12-01T10:45:31.8478207Z test_constants (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8478420Z Types should be shared for identical constant values, and different for different constant values ... ok (0.030s) 2022-12-01T10:45:31.8478551Z test_diff_attr_values (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8478681Z Types should be shared even if attribute values differ ... ok (0.019s) 2022-12-01T10:45:31.8478830Z test_failed_attribute_compilation (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8478973Z Attributes whose type cannot be inferred should fail cleanly with nice hints ... ok (0.007s) 2022-12-01T10:45:31.8479381Z test_ignored_fns (jit.test_type_sharing.TestTypeSharing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M /var/lib/jenkins/workspace/test/jit/test_type_sharing.py line 401 2022-12-01T10:45:31.8479446Z due to: 2022-12-01T10:45:31.8479535Z Traceback (most recent call last): 2022-12-01T10:45:31.8479686Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8479770Z raise Unsupported(msg) 2022-12-01T10:45:31.8479890Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8479895Z 2022-12-01T10:45:31.8479964Z from user code: 2022-12-01T10:45:31.8480096Z File "/var/lib/jenkins/workspace/test/jit/test_type_sharing.py", line 401, in M 2022-12-01T10:45:31.8480179Z class M(torch.nn.Module): 2022-12-01T10:45:31.8480184Z 2022-12-01T10:45:31.8480311Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8480372Z ========== 2022-12-01T10:45:31.8480435Z ok (0.013s) 2022-12-01T10:45:31.8480558Z test_linear (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8480669Z Simple example with a real nn Module ... ok (0.061s) 2022-12-01T10:45:31.8480808Z test_loaded_modules_work (jit.test_type_sharing.TestTypeSharing) ... ok (0.052s) 2022-12-01T10:45:31.8480962Z test_module_dict_same_type_different_name (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8481106Z We should be able to differentiate between two ModuleDict instances ... ok (0.052s) 2022-12-01T10:45:31.8481240Z test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8481381Z Mutating the value of an attribute should not change type sharing ... ok (0.031s) 2022-12-01T10:45:31.8481512Z test_param_vs_attribute (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8481727Z The same module with an `foo` as a parameter vs. attribute shouldn't ... ok (0.020s) 2022-12-01T10:45:31.8481882Z test_python_function_attribute_different (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8482021Z Different functions passed in should lead to different types ... ok (0.022s) 2022-12-01T10:45:31.8482161Z test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8482286Z Same functions passed in should lead to same types ... ok (0.019s) 2022-12-01T10:45:31.8482429Z test_same_but_different_classes (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8482582Z Even if everything about the module is the same, different originating ... ok (0.037s) 2022-12-01T10:45:31.8482736Z test_script_function_attribute_different (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8482877Z Different functions passed in should lead to different types ... ok (0.029s) 2022-12-01T10:45:31.8483026Z test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8483151Z Same functions passed in should lead to same types ... ok (0.018s) 2022-12-01T10:45:31.8483316Z test_script_module_containing_traced_module (jit.test_type_sharing.TestTypeSharing) ... ok (0.028s) 2022-12-01T10:45:31.8483443Z test_submodules (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8483566Z If submodules differ, the types should differ. ... ok (0.052s) 2022-12-01T10:45:31.8483715Z test_tracing_gives_different_types (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8483922Z Since we can't guarantee that methods are the same between different ... ok (0.017s) 2022-12-01T10:45:31.8484109Z test_type_not_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8484241Z Test that types are not shared if the exclusion of their ... ok (0.012s) 2022-12-01T10:45:31.8484390Z test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8484506Z Test that types are shared if the exclusion of their ... ok (0.010s) 2022-12-01T10:45:31.8484650Z test_type_sharing_define_in_init (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8485056Z Tests that types between instances of a ScriptModule ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/workspace/test/jit/test_type_sharing.py line 513 2022-12-01T10:45:31.8485122Z due to: 2022-12-01T10:45:31.8485229Z Traceback (most recent call last): 2022-12-01T10:45:31.8485472Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:45:31.8485598Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:45:31.8485760Z NotImplementedError: UserDefinedObjectVariable(ScriptMeta) is not a constant 2022-12-01T10:45:31.8485766Z 2022-12-01T10:45:31.8485823Z from user code: 2022-12-01T10:45:31.8485968Z File "/var/lib/jenkins/workspace/test/jit/test_type_sharing.py", line 514, in __init__ 2022-12-01T10:45:31.8486038Z super().__init__() 2022-12-01T10:45:31.8486043Z 2022-12-01T10:45:31.8486171Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8486231Z ========== 2022-12-01T10:45:31.8486296Z ok (0.011s) 2022-12-01T10:45:31.8486438Z test_type_sharing_disabled (jit.test_type_sharing.TestTypeSharing) 2022-12-01T10:45:31.8486541Z Test that type sharing can be disabled. ... ok (0.027s) 2022-12-01T10:45:31.8486700Z test_annotate_outside_init (jit.test_types.TestTypesAndAnnotation) ... ok (0.014s) 2022-12-01T10:45:31.8486844Z test_bad_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.012s) 2022-12-01T10:45:31.8487356Z test_ignore_with_types (jit.test_types.TestTypesAndAnnotation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M /var/lib/jenkins/workspace/test/jit/test_types.py line 85 2022-12-01T10:45:31.8487420Z due to: 2022-12-01T10:45:31.8487509Z Traceback (most recent call last): 2022-12-01T10:45:31.8487660Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8487741Z raise Unsupported(msg) 2022-12-01T10:45:31.8487852Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8487857Z 2022-12-01T10:45:31.8487924Z from user code: 2022-12-01T10:45:31.8488056Z File "/var/lib/jenkins/workspace/test/jit/test_types.py", line 85, in M 2022-12-01T10:45:31.8488141Z class M(torch.nn.Module): 2022-12-01T10:45:31.8488146Z 2022-12-01T10:45:31.8488276Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8488391Z ========== 2022-12-01T10:45:31.8488455Z ok (0.026s) 2022-12-01T10:45:31.8488611Z test_ignoring_module_attributes (jit.test_types.TestTypesAndAnnotation) 2022-12-01T10:45:31.8488980Z Test that module attributes can be ignored. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT ModuleWithIgnoredAttr /var/lib/jenkins/workspace/test/jit/test_types.py line 209 2022-12-01T10:45:31.8489044Z due to: 2022-12-01T10:45:31.8489133Z Traceback (most recent call last): 2022-12-01T10:45:31.8489278Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8489356Z raise Unsupported(msg) 2022-12-01T10:45:31.8489475Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8489482Z 2022-12-01T10:45:31.8489550Z from user code: 2022-12-01T10:45:31.8489701Z File "/var/lib/jenkins/workspace/test/jit/test_types.py", line 209, in ModuleWithIgnoredAttr 2022-12-01T10:45:31.8489819Z class ModuleWithIgnoredAttr(torch.nn.Module): 2022-12-01T10:45:31.8489824Z 2022-12-01T10:45:31.8489950Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8490075Z ========== 2022-12-01T10:45:31.8490136Z ok (0.019s) 2022-12-01T10:45:31.8490582Z test_inferred_type_error_message (jit.test_types.TestTypesAndAnnotation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_inferred_type_error_message /var/lib/jenkins/workspace/test/jit/test_types.py line 310 2022-12-01T10:45:31.8490644Z due to: 2022-12-01T10:45:31.8490733Z Traceback (most recent call last): 2022-12-01T10:45:31.8490877Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8491123Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8491416Z AssertionError: torch.* op returned non-Tensor InferredType call_function 2022-12-01T10:45:31.8491422Z 2022-12-01T10:45:31.8491489Z from user code: 2022-12-01T10:45:31.8491655Z File "/var/lib/jenkins/workspace/test/jit/test_types.py", line 311, in test_inferred_type_error_message 2022-12-01T10:45:31.8491773Z inferred_type = torch._C.InferredType("ErrorReason") 2022-12-01T10:45:31.8491778Z 2022-12-01T10:45:31.8491907Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8491966Z ========== 2022-12-01T10:45:31.8492019Z ok (0.005s) 2022-12-01T10:45:31.8492180Z test_mismatched_annotation (jit.test_types.TestTypesAndAnnotation) ... ok (0.006s) 2022-12-01T10:45:31.8492342Z test_optional_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation) 2022-12-01T10:45:31.8492489Z Test that using an optional with no contained types produces an error. ... ok (0.016s) 2022-12-01T10:45:31.8492631Z test_parser_bug (jit.test_types.TestTypesAndAnnotation) ... ok (0.006s) 2022-12-01T10:45:31.8492780Z test_pep585_type (jit.test_types.TestTypesAndAnnotation) ... ok (0.064s) 2022-12-01T10:45:31.8493181Z test_python_callable (jit.test_types.TestTypesAndAnnotation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT MyPythonClass /var/lib/jenkins/workspace/test/jit/test_types.py line 102 2022-12-01T10:45:31.8493245Z due to: 2022-12-01T10:45:31.8493333Z Traceback (most recent call last): 2022-12-01T10:45:31.8493470Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8493548Z raise Unsupported(msg) 2022-12-01T10:45:31.8493670Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8493675Z 2022-12-01T10:45:31.8493740Z from user code: 2022-12-01T10:45:31.8493891Z File "/var/lib/jenkins/workspace/test/jit/test_types.py", line 102, in MyPythonClass 2022-12-01T10:45:31.8493979Z class MyPythonClass(object): 2022-12-01T10:45:31.8493984Z 2022-12-01T10:45:31.8494110Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8494162Z ========== 2022-12-01T10:45:31.8494224Z ok (0.007s) 2022-12-01T10:45:31.8494369Z test_reannotate (jit.test_types.TestTypesAndAnnotation) ... ok (0.007s) 2022-12-01T10:45:31.8494528Z test_tuple_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation) 2022-12-01T10:45:31.8494675Z Test that using a tuple with no contained types produces an error. ... ok (0.017s) 2022-12-01T10:45:31.8494827Z test_type_annotate_py3 (jit.test_types.TestTypesAndAnnotation) ... ok (0.057s) 2022-12-01T10:45:31.8495205Z test_types_as_values (jit.test_types.TestTypesAndAnnotation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo /var/lib/jenkins/workspace/test/jit/test_types.py line 52 2022-12-01T10:45:31.8495268Z due to: 2022-12-01T10:45:31.8495346Z Traceback (most recent call last): 2022-12-01T10:45:31.8495490Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8495570Z raise Unsupported(msg) 2022-12-01T10:45:31.8495689Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8495694Z 2022-12-01T10:45:31.8495761Z from user code: 2022-12-01T10:45:31.8495895Z File "/var/lib/jenkins/workspace/test/jit/test_types.py", line 52, in Foo 2022-12-01T10:45:31.8495982Z class Foo(torch.nn.Module): 2022-12-01T10:45:31.8496018Z 2022-12-01T10:45:31.8496148Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8496197Z ========== 2022-12-01T10:45:31.8496461Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Foo /var/lib/jenkins/workspace/test/jit/test_types.py line 66 2022-12-01T10:45:31.8496523Z due to: 2022-12-01T10:45:31.8496610Z Traceback (most recent call last): 2022-12-01T10:45:31.8496755Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8496834Z raise Unsupported(msg) 2022-12-01T10:45:31.8496952Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8496957Z 2022-12-01T10:45:31.8497015Z from user code: 2022-12-01T10:45:31.8497215Z File "/var/lib/jenkins/workspace/test/jit/test_types.py", line 66, in Foo 2022-12-01T10:45:31.8497298Z class Foo(torch.nn.Module): 2022-12-01T10:45:31.8497303Z 2022-12-01T10:45:31.8497428Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8497487Z ========== 2022-12-01T10:45:31.8497552Z ok (0.035s) 2022-12-01T10:45:31.8498021Z test_unimported_type_resolution (jit.test_types.TestTypesAndAnnotation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_types.py line 250 2022-12-01T10:45:31.8498082Z due to: 2022-12-01T10:45:31.8498161Z Traceback (most recent call last): 2022-12-01T10:45:31.8498312Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8498560Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8498809Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8498814Z 2022-12-01T10:45:31.8498883Z from user code: 2022-12-01T10:45:31.8499067Z File "/var/lib/jenkins/workspace/test/jit/test_types.py", line 255, in 2022-12-01T10:45:31.8499214Z FileCheck().check('Scalar').run(fn.graph) 2022-12-01T10:45:31.8499219Z 2022-12-01T10:45:31.8499344Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8499394Z ========== 2022-12-01T10:45:31.8499456Z ok (0.008s) 2022-12-01T10:45:31.8499582Z test_bool_list_io (jit.test_typing.TestTyping) ... ok (0.017s) 2022-12-01T10:45:31.8499717Z test_dict_comprehension (jit.test_typing.TestTyping) ... ok (0.046s) 2022-12-01T10:45:31.8499858Z test_dict_comprehension_scope (jit.test_typing.TestTyping) ... ok (0.018s) 2022-12-01T10:45:31.8500015Z test_dict_comprehension_with_type_annotation (jit.test_typing.TestTyping) ... ok (0.020s) 2022-12-01T10:45:31.8500141Z test_dict_in_not_in (jit.test_typing.TestTyping) ... ok (0.102s) 2022-12-01T10:45:31.8500279Z test_dict_invalid_annotations (jit.test_typing.TestTyping) ... ok (0.022s) 2022-12-01T10:45:31.8500468Z test_dict_type_refinement_annotation_key_mismatch (jit.test_typing.TestTyping) ... You have not run this instance of FileCheck! 2022-12-01T10:45:31.8500541Z FileCheck checks: 2022-12-01T10:45:31.8500645Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8500715Z FileCheck checks: 2022-12-01T10:45:31.8500814Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8500883Z FileCheck checks: 2022-12-01T10:45:31.8500984Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8501042Z FileCheck checks: 2022-12-01T10:45:31.8501140Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8501209Z FileCheck checks: 2022-12-01T10:45:31.8501309Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8501379Z FileCheck checks: 2022-12-01T10:45:31.8501477Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8501546Z FileCheck checks: 2022-12-01T10:45:31.8501634Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8501702Z FileCheck checks: 2022-12-01T10:45:31.8501798Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8501867Z FileCheck checks: 2022-12-01T10:45:31.8502009Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8502079Z FileCheck checks: 2022-12-01T10:45:31.8502176Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8502234Z FileCheck checks: 2022-12-01T10:45:31.8502329Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8502398Z FileCheck checks: 2022-12-01T10:45:31.8502494Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8502561Z FileCheck checks: 2022-12-01T10:45:31.8502660Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8502725Z FileCheck checks: 2022-12-01T10:45:31.8503088Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-12-01T10:45:31.8503222Z File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 90 2022-12-01T10:45:31.8503285Z def fn(): 2022-12-01T10:45:31.8503358Z l1 = [1, 2, "foo", 3] 2022-12-01T10:45:31.8503480Z ~~~~~~~~~~~~~~~ <--- HERE 2022-12-01T10:45:31.8503568Z l2 = ["foo", "bar", "baz", "qux"] 2022-12-01T10:45:31.8503679Z d: Dict[int, str] = {k : v for k, v in zip(l1, l2)} 2022-12-01T10:45:31.8503754Z (function emitListLiteral) 2022-12-01T10:45:31.8503819Z ok (0.008s) 2022-12-01T10:45:31.8504302Z test_dict_type_refinement_annotation_value_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-12-01T10:45:31.8504435Z File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 104 2022-12-01T10:45:31.8504496Z def fn(): 2022-12-01T10:45:31.8504585Z l1 = ["foo", "bar", "baz", "qux"] 2022-12-01T10:45:31.8504657Z l2 = [1, 2, "foo", 3] 2022-12-01T10:45:31.8504782Z ~~~~~~~~~~~~~~~ <--- HERE 2022-12-01T10:45:31.8504892Z d: Dict[str, int] = {k : v for k, v in zip(l1, l2)} 2022-12-01T10:45:31.8504947Z return d 2022-12-01T10:45:31.8505029Z (function emitListLiteral) 2022-12-01T10:45:31.8505094Z ok (0.008s) 2022-12-01T10:45:31.8505218Z test_for_in_dict (jit.test_typing.TestTyping) ... ok (0.054s) 2022-12-01T10:45:31.8505341Z test_for_in_string (jit.test_typing.TestTyping) ... ok (0.056s) 2022-12-01T10:45:31.8505472Z test_for_tuple_assign (jit.test_typing.TestTyping) ... ok (0.049s) 2022-12-01T10:45:31.8505601Z test_for_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.042s) 2022-12-01T10:45:31.8505709Z test_list_io (jit.test_typing.TestTyping) ... ok (0.051s) 2022-12-01T10:45:31.8505833Z test_list_iterables (jit.test_typing.TestTyping) ... ok (0.006s) 2022-12-01T10:45:31.8505949Z test_list_sum (jit.test_typing.TestTyping) ... ok (0.052s) 2022-12-01T10:45:31.8506117Z test_list_type_refinement_annotation_element_mismatch (jit.test_typing.TestTyping) ... ok (0.008s) 2022-12-01T10:45:31.8506246Z test_list_unification (jit.test_typing.TestTyping) ... ok (0.025s) 2022-12-01T10:45:31.8506374Z test_multiple_assign (jit.test_typing.TestTyping) ... ok (0.055s) 2022-12-01T10:45:31.8506509Z test_namedtuple_good_error (jit.test_typing.TestTyping) ... ok (0.019s) 2022-12-01T10:45:31.8506633Z test_namedtuple_py2 (jit.test_typing.TestTyping) ... ok (0.046s) 2022-12-01T10:45:31.8506757Z test_namedtuple_redefine (jit.test_typing.TestTyping) ... ok (0.021s) 2022-12-01T10:45:31.8506880Z test_nested_list (jit.test_typing.TestTyping) ... ok (0.045s) 2022-12-01T10:45:31.8507012Z test_opt_opt_refinement (jit.test_typing.TestTyping) ... ok (0.008s) 2022-12-01T10:45:31.8507143Z test_optional_conversion (jit.test_typing.TestTyping) ... ok (0.128s) 2022-12-01T10:45:31.8507274Z test_optional_refinement (jit.test_typing.TestTyping) ... ok (0.014s) 2022-12-01T10:45:31.8507434Z test_optional_tuple (jit.test_typing.TestTyping) ... ok (0.047s) 2022-12-01T10:45:31.8507570Z test_singleton_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.015s) 2022-12-01T10:45:31.8507688Z test_sum_list_diff_elms (jit.test_typing.TestTyping) ... ok (0.086s) 2022-12-01T10:45:31.8507810Z test_sum_list_empty (jit.test_typing.TestTyping) ... ok (0.046s) 2022-12-01T10:45:31.8507939Z test_sum_list_literal (jit.test_typing.TestTyping) ... ok (0.045s) 2022-12-01T10:45:31.8508061Z test_sum_list_one (jit.test_typing.TestTyping) ... ok (0.047s) 2022-12-01T10:45:31.8508219Z test_sum_list_wrong_type (jit.test_typing.TestTyping) ... ok (0.007s) 2022-12-01T10:45:31.8508352Z test_tuple_assignments (jit.test_typing.TestTyping) ... ok (0.082s) 2022-12-01T10:45:31.8508480Z test_tuple_create_return (jit.test_typing.TestTyping) ... ok (0.054s) 2022-12-01T10:45:31.8508597Z test_tuple_io (jit.test_typing.TestTyping) ... ok (0.014s) 2022-12-01T10:45:31.8508713Z test_tuple_keyword (jit.test_typing.TestTyping) ... ok (0.022s) 2022-12-01T10:45:31.8508849Z test_tuple_specialization (jit.test_typing.TestTyping) ... ok (0.090s) 2022-12-01T10:45:31.8509272Z test_check_union_annotation (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 40 2022-12-01T10:45:31.8509334Z due to: 2022-12-01T10:45:31.8509424Z Traceback (most recent call last): 2022-12-01T10:45:31.8509585Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8509704Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8510002Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8510009Z 2022-12-01T10:45:31.8510075Z from user code: 2022-12-01T10:45:31.8510245Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 41, in 2022-12-01T10:45:31.8510341Z graph_rep = str(scripted_func.graph) 2022-12-01T10:45:31.8510347Z 2022-12-01T10:45:31.8510474Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8510534Z ========== 2022-12-01T10:45:31.8510596Z ok (0.027s) 2022-12-01T10:45:31.8510742Z test_union_T_None_is_equivalent_to_optional_T (jit.test_union.TestUnion) ... ok (0.082s) 2022-12-01T10:45:31.8511189Z test_union_argument_order_is_ignored (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 287 2022-12-01T10:45:31.8511247Z due to: 2022-12-01T10:45:31.8511326Z Traceback (most recent call last): 2022-12-01T10:45:31.8511492Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8511606Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8511903Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8511908Z 2022-12-01T10:45:31.8511965Z from user code: 2022-12-01T10:45:31.8512150Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 290, in 2022-12-01T10:45:31.8512239Z for s in (fn1.graph, fn2.graph): 2022-12-01T10:45:31.8512244Z 2022-12-01T10:45:31.8512372Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8512431Z ========== 2022-12-01T10:45:31.8512493Z ok (0.029s) 2022-12-01T10:45:31.8512651Z test_union_argument_order_is_ignored_container (jit.test_union.TestUnion) ... ok (0.009s) 2022-12-01T10:45:31.8512777Z test_union_as_annotation (jit.test_union.TestUnion) ... ok (0.045s) 2022-12-01T10:45:31.8512916Z test_union_as_annotation_in_typed_container (jit.test_union.TestUnion) ... ok (0.045s) 2022-12-01T10:45:31.8513082Z test_union_as_annotation_py2 (jit.test_union.TestUnion) ... ok (0.043s) 2022-12-01T10:45:31.8513204Z test_union_as_dict_key (jit.test_union.TestUnion) ... ok (0.014s) 2022-12-01T10:45:31.8513331Z test_union_as_dict_value (jit.test_union.TestUnion) ... ok (0.044s) 2022-12-01T10:45:31.8513473Z test_union_as_internal_tuple_type (jit.test_union.TestUnion) ... ok (0.043s) 2022-12-01T10:45:31.8513641Z test_union_branching_does_not_autoinfer_undeclared_union (jit.test_union.TestUnion) ... ok (0.009s) 2022-12-01T10:45:31.8513808Z test_union_branching_does_not_widen_existing_inferred_type (jit.test_union.TestUnion) ... ok (0.008s) 2022-12-01T10:45:31.8514003Z test_union_branching_with_union_return_and_homogenous_types (jit.test_union.TestUnion) ... ok (0.045s) 2022-12-01T10:45:31.8514155Z test_union_does_not_replace_existing_annotated_type (jit.test_union.TestUnion) ... ok (0.008s) 2022-12-01T10:45:31.8514337Z test_union_does_not_replace_existing_annotated_type_empty_container (jit.test_union.TestUnion) ... ok (0.007s) 2022-12-01T10:45:31.8514505Z test_union_does_not_replace_existing_annotated_type_union (jit.test_union.TestUnion) ... ok (0.008s) 2022-12-01T10:45:31.8514643Z test_union_in_class_constructor (jit.test_union.TestUnion) ... ok (0.010s) 2022-12-01T10:45:31.8514932Z test_union_memory_aliasing (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.8514995Z due to: 2022-12-01T10:45:31.8515082Z Traceback (most recent call last): 2022-12-01T10:45:31.8515308Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8515429Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8515629Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8515635Z 2022-12-01T10:45:31.8515703Z from user code: 2022-12-01T10:45:31.8515784Z File "", line 6, in fn 2022-12-01T10:45:31.8515792Z 2022-12-01T10:45:31.8515918Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8515975Z ========== 2022-12-01T10:45:31.8516235Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn /var/lib/jenkins/workspace/test/jit/test_union.py line 647 2022-12-01T10:45:31.8516294Z due to: 2022-12-01T10:45:31.8516373Z Traceback (most recent call last): 2022-12-01T10:45:31.8516594Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8516721Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8516916Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8516922Z 2022-12-01T10:45:31.8516990Z from user code: 2022-12-01T10:45:31.8517122Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 652, in fn 2022-12-01T10:45:31.8517243Z if torch.jit.isinstance(x_alias, List[torch.Tensor]): 2022-12-01T10:45:31.8517249Z 2022-12-01T10:45:31.8517378Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8517428Z ========== 2022-12-01T10:45:31.8517937Z /opt/conda/lib/python3.7/site-packages/torch/_jit_internal.py:1283: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str]. 2022-12-01T10:45:31.8518042Z "The inner type of a container is lost when " 2022-12-01T10:45:31.8518547Z /opt/conda/lib/python3.7/site-packages/torch/_jit_internal.py:1283: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str]. 2022-12-01T10:45:31.8518651Z "The inner type of a container is lost when " 2022-12-01T10:45:31.8518712Z ok (0.050s) 2022-12-01T10:45:31.8518871Z test_union_module_with_union_class_variable (jit.test_union.TestUnion) ... ok (0.010s) 2022-12-01T10:45:31.8519146Z test_union_module_with_union_instance_variable (jit.test_union.TestUnion) ... ok (0.015s) 2022-12-01T10:45:31.8519729Z test_union_optional_of_union_is_flattened (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 365 2022-12-01T10:45:31.8519794Z due to: 2022-12-01T10:45:31.8519871Z Traceback (most recent call last): 2022-12-01T10:45:31.8520026Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8520275Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8520562Z AssertionError: torch.* op returned non-Tensor FileCheck call_function 2022-12-01T10:45:31.8520568Z 2022-12-01T10:45:31.8520636Z from user code: 2022-12-01T10:45:31.8520829Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 369, in 2022-12-01T10:45:31.8520946Z FileCheck().check("Union[int, NoneType, str]") \ 2022-12-01T10:45:31.8520951Z 2022-12-01T10:45:31.8521078Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8521127Z ========== 2022-12-01T10:45:31.8521187Z ok (0.089s) 2022-12-01T10:45:31.8521661Z test_union_redundant_arguments_are_skipped (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 243 2022-12-01T10:45:31.8521723Z due to: 2022-12-01T10:45:31.8521809Z Traceback (most recent call last): 2022-12-01T10:45:31.8521969Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8522085Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8522382Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8522389Z 2022-12-01T10:45:31.8522447Z from user code: 2022-12-01T10:45:31.8522636Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 246, in 2022-12-01T10:45:31.8522702Z s = fn.graph 2022-12-01T10:45:31.8522707Z 2022-12-01T10:45:31.8522834Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8522892Z ========== 2022-12-01T10:45:31.8522956Z ok (0.013s) 2022-12-01T10:45:31.8523116Z test_union_redundant_arguments_are_skipped_container (jit.test_union.TestUnion) ... ok (0.007s) 2022-12-01T10:45:31.8523623Z test_union_redundant_arguments_are_skipped_optional (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 253 2022-12-01T10:45:31.8523685Z due to: 2022-12-01T10:45:31.8523765Z Traceback (most recent call last): 2022-12-01T10:45:31.8523924Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8524039Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8524329Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8524334Z 2022-12-01T10:45:31.8524400Z from user code: 2022-12-01T10:45:31.8524603Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 256, in 2022-12-01T10:45:31.8524666Z s = fn.graph 2022-12-01T10:45:31.8524673Z 2022-12-01T10:45:31.8524798Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8524847Z ========== 2022-12-01T10:45:31.8524909Z ok (0.027s) 2022-12-01T10:45:31.8525412Z test_union_redundant_arguments_are_skipped_subtyping (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 263 2022-12-01T10:45:31.8525504Z due to: 2022-12-01T10:45:31.8525592Z Traceback (most recent call last): 2022-12-01T10:45:31.8525750Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8525863Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8526159Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8526164Z 2022-12-01T10:45:31.8526222Z from user code: 2022-12-01T10:45:31.8526455Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 266, in 2022-12-01T10:45:31.8526522Z s = fn.graph 2022-12-01T10:45:31.8526526Z 2022-12-01T10:45:31.8526652Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8526715Z ========== 2022-12-01T10:45:31.8526777Z ok (0.036s) 2022-12-01T10:45:31.8526905Z test_union_return_type (jit.test_union.TestUnion) ... ok (0.045s) 2022-12-01T10:45:31.8527370Z test_union_schema_matching_on_internal_type (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.8527422Z due to: 2022-12-01T10:45:31.8527512Z Traceback (most recent call last): 2022-12-01T10:45:31.8527737Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8527868Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8528067Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8528072Z 2022-12-01T10:45:31.8528139Z from user code: 2022-12-01T10:45:31.8528222Z File "", line 2, in fn 2022-12-01T10:45:31.8528228Z 2022-12-01T10:45:31.8528434Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8528487Z ========== 2022-12-01T10:45:31.8528800Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn /var/lib/jenkins/workspace/test/jit/test_union.py line 615 2022-12-01T10:45:31.8528867Z due to: 2022-12-01T10:45:31.8528958Z Traceback (most recent call last): 2022-12-01T10:45:31.8529182Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8529309Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8529509Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8529514Z 2022-12-01T10:45:31.8529570Z from user code: 2022-12-01T10:45:31.8529708Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 616, in fn 2022-12-01T10:45:31.8529809Z if torch.jit.isinstance(x, List[int]): 2022-12-01T10:45:31.8529815Z 2022-12-01T10:45:31.8529942Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8530004Z ========== 2022-12-01T10:45:31.8530198Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.8530261Z due to: 2022-12-01T10:45:31.8530351Z Traceback (most recent call last): 2022-12-01T10:45:31.8530562Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8530692Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8530888Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8530893Z 2022-12-01T10:45:31.8530959Z from user code: 2022-12-01T10:45:31.8531043Z File "", line 2, in fn 2022-12-01T10:45:31.8531048Z 2022-12-01T10:45:31.8531175Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8531237Z ========== 2022-12-01T10:45:31.8531298Z ok (0.053s) 2022-12-01T10:45:31.8531452Z test_union_serialization_preserves_type_annotations (jit.test_union.TestUnion) ... ok (0.068s) 2022-12-01T10:45:31.8531590Z test_union_subclasses_larger_union (jit.test_union.TestUnion) ... ok (0.016s) 2022-12-01T10:45:31.8531794Z test_union_subtractive_refinement (jit.test_union.TestUnion) ... ok (0.048s) 2022-12-01T10:45:31.8532121Z test_union_subtractive_refinement_with_container (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.8532182Z due to: 2022-12-01T10:45:31.8532272Z Traceback (most recent call last): 2022-12-01T10:45:31.8532497Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8532614Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8532851Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8532857Z 2022-12-01T10:45:31.8532925Z from user code: 2022-12-01T10:45:31.8533008Z File "", line 2, in fn 2022-12-01T10:45:31.8533013Z 2022-12-01T10:45:31.8533139Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8533203Z ========== 2022-12-01T10:45:31.8533469Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn /var/lib/jenkins/workspace/test/jit/test_union.py line 636 2022-12-01T10:45:31.8533530Z due to: 2022-12-01T10:45:31.8533608Z Traceback (most recent call last): 2022-12-01T10:45:31.8533834Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8533962Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8534159Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8534164Z 2022-12-01T10:45:31.8534229Z from user code: 2022-12-01T10:45:31.8534366Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 637, in fn 2022-12-01T10:45:31.8534471Z if not torch.jit.isinstance(x, List[int]): 2022-12-01T10:45:31.8534475Z 2022-12-01T10:45:31.8534602Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8534652Z ========== 2022-12-01T10:45:31.8534843Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 1 2022-12-01T10:45:31.8534902Z due to: 2022-12-01T10:45:31.8534989Z Traceback (most recent call last): 2022-12-01T10:45:31.8535253Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8535416Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8535615Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8535619Z 2022-12-01T10:45:31.8535686Z from user code: 2022-12-01T10:45:31.8535755Z File "", line 2, in fn 2022-12-01T10:45:31.8535760Z 2022-12-01T10:45:31.8535889Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8535946Z ========== 2022-12-01T10:45:31.8536009Z ok (0.051s) 2022-12-01T10:45:31.8536140Z test_union_type_refinement (jit.test_union.TestUnion) ... ok (0.045s) 2022-12-01T10:45:31.8536297Z test_union_type_refinement_internal_declaration (jit.test_union.TestUnion) ... ok (0.045s) 2022-12-01T10:45:31.8536474Z test_union_type_refinement_partial_static_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.057s) 2022-12-01T10:45:31.8536637Z test_union_type_refinement_partial_static_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.075s) 2022-12-01T10:45:31.8537109Z test_union_type_refinement_statically_false (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 501 2022-12-01T10:45:31.8537171Z due to: 2022-12-01T10:45:31.8537260Z Traceback (most recent call last): 2022-12-01T10:45:31.8537421Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8537538Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8537834Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8537875Z 2022-12-01T10:45:31.8537942Z from user code: 2022-12-01T10:45:31.8538136Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 508, in 2022-12-01T10:45:31.8538191Z s = fn.graph 2022-12-01T10:45:31.8538206Z 2022-12-01T10:45:31.8538322Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8538383Z ========== 2022-12-01T10:45:31.8538445Z ok (0.009s) 2022-12-01T10:45:31.8538592Z test_union_type_refinement_statically_true (jit.test_union.TestUnion) ... ok (0.008s) 2022-12-01T10:45:31.8538733Z test_union_type_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.051s) 2022-12-01T10:45:31.8538930Z test_union_type_refinement_tuple_rhs_noncontained_type (jit.test_union.TestUnion) ... ok (0.048s) 2022-12-01T10:45:31.8539077Z test_union_type_refinement_tuple_rhs_union (jit.test_union.TestUnion) ... ok (0.015s) 2022-12-01T10:45:31.8539206Z test_union_type_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.057s) 2022-12-01T10:45:31.8539355Z test_union_variable_can_be_reassigned (jit.test_union.TestUnion) ... ok (0.038s) 2022-12-01T10:45:31.8539484Z test_union_with_collections (jit.test_union.TestUnion) ... ok (0.021s) 2022-12-01T10:45:31.8539924Z test_union_with_dict_assignment (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _assert_raises /var/lib/jenkins/workspace/test/jit/test_union.py line 681 2022-12-01T10:45:31.8540016Z due to: 2022-12-01T10:45:31.8540108Z Traceback (most recent call last): 2022-12-01T10:45:31.8540271Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 98, in call_method 2022-12-01T10:45:31.8540344Z assert not kwargs 2022-12-01T10:45:31.8540404Z AssertionError 2022-12-01T10:45:31.8540409Z 2022-12-01T10:45:31.8540475Z from user code: 2022-12-01T10:45:31.8540621Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 682, in _assert_raises 2022-12-01T10:45:31.8540726Z code = template.format(ann=ann, lhs=lhs) 2022-12-01T10:45:31.8540731Z 2022-12-01T10:45:31.8540856Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8540917Z ========== 2022-12-01T10:45:31.8541427Z /opt/conda/lib/python3.7/site-packages/torch/_jit_internal.py:1283: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str]. 2022-12-01T10:45:31.8541532Z "The inner type of a container is lost when " 2022-12-01T10:45:31.8542037Z /opt/conda/lib/python3.7/site-packages/torch/_jit_internal.py:1283: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str]. 2022-12-01T10:45:31.8542130Z "The inner type of a container is lost when " 2022-12-01T10:45:31.8542192Z ok (0.234s) 2022-12-01T10:45:31.8542319Z test_union_with_enum (jit.test_union.TestUnion) ... ok (0.011s) 2022-12-01T10:45:31.8542611Z test_union_with_list_assignment (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 2 2022-12-01T10:45:31.8542673Z due to: 2022-12-01T10:45:31.8542762Z Traceback (most recent call last): 2022-12-01T10:45:31.8542984Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8543112Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8543300Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8543305Z 2022-12-01T10:45:31.8543369Z from user code: 2022-12-01T10:45:31.8543453Z File "", line 4, in fn 2022-12-01T10:45:31.8543459Z 2022-12-01T10:45:31.8543587Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8543646Z ========== 2022-12-01T10:45:31.8543836Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 2 2022-12-01T10:45:31.8543958Z due to: 2022-12-01T10:45:31.8544037Z Traceback (most recent call last): 2022-12-01T10:45:31.8544261Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8544388Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8544582Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8544587Z 2022-12-01T10:45:31.8544654Z from user code: 2022-12-01T10:45:31.8544735Z File "", line 4, in fn 2022-12-01T10:45:31.8544740Z 2022-12-01T10:45:31.8544867Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8544928Z ========== 2022-12-01T10:45:31.8545139Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 2 2022-12-01T10:45:31.8545202Z due to: 2022-12-01T10:45:31.8545289Z Traceback (most recent call last): 2022-12-01T10:45:31.8545513Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8545645Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8545845Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8545850Z 2022-12-01T10:45:31.8545917Z from user code: 2022-12-01T10:45:31.8545986Z File "", line 4, in fn 2022-12-01T10:45:31.8546002Z 2022-12-01T10:45:31.8546117Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8546178Z ========== 2022-12-01T10:45:31.8546368Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 2 2022-12-01T10:45:31.8546428Z due to: 2022-12-01T10:45:31.8546515Z Traceback (most recent call last): 2022-12-01T10:45:31.8546737Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8546865Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8547048Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8547055Z 2022-12-01T10:45:31.8547121Z from user code: 2022-12-01T10:45:31.8547203Z File "", line 4, in fn 2022-12-01T10:45:31.8547207Z 2022-12-01T10:45:31.8547332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8547391Z ========== 2022-12-01T10:45:31.8547494Z You have not run this instance of FileCheck! 2022-12-01T10:45:31.8547563Z FileCheck checks: 2022-12-01T10:45:31.8547905Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-12-01T10:45:31.8547973Z File "", line 3 2022-12-01T10:45:31.8547987Z 2022-12-01T10:45:31.8548038Z def fn(): 2022-12-01T10:45:31.8548185Z x: Union[List[str], List[torch.Tensor]] = [torch.add(1, x) for x in [torch.arange(5), 1]] 2022-12-01T10:45:31.8548372Z ~~~~~~~~~~~~~~~~~~~ <--- HERE 2022-12-01T10:45:31.8548489Z if torch.jit.isinstance(x, List[torch.Tensor]): 2022-12-01T10:45:31.8548575Z x.append(torch.tensor(3)) 2022-12-01T10:45:31.8548660Z (function emitListLiteral) 2022-12-01T10:45:31.8548848Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 2 2022-12-01T10:45:31.8548900Z due to: 2022-12-01T10:45:31.8548991Z Traceback (most recent call last): 2022-12-01T10:45:31.8549211Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8549336Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8549535Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8549540Z 2022-12-01T10:45:31.8549607Z from user code: 2022-12-01T10:45:31.8549689Z File "", line 4, in fn 2022-12-01T10:45:31.8549694Z 2022-12-01T10:45:31.8549821Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8549903Z ========== 2022-12-01T10:45:31.8550094Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 2 2022-12-01T10:45:31.8550156Z due to: 2022-12-01T10:45:31.8550243Z Traceback (most recent call last): 2022-12-01T10:45:31.8550465Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8550590Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8550785Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8550790Z 2022-12-01T10:45:31.8550846Z from user code: 2022-12-01T10:45:31.8550929Z File "", line 4, in fn 2022-12-01T10:45:31.8550965Z 2022-12-01T10:45:31.8551094Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8551151Z ========== 2022-12-01T10:45:31.8551337Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn line 2 2022-12-01T10:45:31.8551399Z due to: 2022-12-01T10:45:31.8551486Z Traceback (most recent call last): 2022-12-01T10:45:31.8551698Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:45:31.8551824Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:45:31.8552020Z NotImplementedError: argument of type: 2022-12-01T10:45:31.8552025Z 2022-12-01T10:45:31.8552091Z from user code: 2022-12-01T10:45:31.8552171Z File "", line 4, in fn 2022-12-01T10:45:31.8552176Z 2022-12-01T10:45:31.8552304Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8552364Z ========== 2022-12-01T10:45:31.8552703Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-12-01T10:45:31.8552783Z File "", line 3 2022-12-01T10:45:31.8552790Z 2022-12-01T10:45:31.8552840Z def fn(): 2022-12-01T10:45:31.8552983Z x: Union[List[torch.Tensor], int] = [torch.add(1, x) for x in [torch.arange(5), 1]] 2022-12-01T10:45:31.8553162Z ~~~~~~~~~~~~~~~~~~~ <--- HERE 2022-12-01T10:45:31.8553277Z if torch.jit.isinstance(x, List[torch.Tensor]): 2022-12-01T10:45:31.8553362Z x.append(torch.tensor(3)) 2022-12-01T10:45:31.8553445Z (function emitListLiteral) 2022-12-01T10:45:31.8553955Z /opt/conda/lib/python3.7/site-packages/torch/_jit_internal.py:1283: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str]. 2022-12-01T10:45:31.8554061Z "The inner type of a container is lost when " 2022-12-01T10:45:31.8554114Z ok (0.088s) 2022-12-01T10:45:31.8554250Z test_union_with_scalar_values (jit.test_union.TestUnion) ... ok (0.036s) 2022-12-01T10:45:31.8554703Z test_unions_of_a_single_argument_vanish (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 233 2022-12-01T10:45:31.8554763Z due to: 2022-12-01T10:45:31.8554851Z Traceback (most recent call last): 2022-12-01T10:45:31.8555011Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8555130Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8555425Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8555431Z 2022-12-01T10:45:31.8555500Z from user code: 2022-12-01T10:45:31.8555677Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 236, in 2022-12-01T10:45:31.8555744Z s = fn.graph 2022-12-01T10:45:31.8555779Z 2022-12-01T10:45:31.8555910Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8555966Z ========== 2022-12-01T10:45:31.8556027Z ok (0.012s) 2022-12-01T10:45:31.8556470Z test_unions_of_unions_are_flattened (jit.test_union.TestUnion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_union.py line 223 2022-12-01T10:45:31.8556532Z due to: 2022-12-01T10:45:31.8556620Z Traceback (most recent call last): 2022-12-01T10:45:31.8556768Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:45:31.8556914Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:45:31.8557212Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:45:31.8557217Z 2022-12-01T10:45:31.8557283Z from user code: 2022-12-01T10:45:31.8557469Z File "/var/lib/jenkins/workspace/test/jit/test_union.py", line 226, in 2022-12-01T10:45:31.8557533Z s = fn.graph 2022-12-01T10:45:31.8557538Z 2022-12-01T10:45:31.8557665Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8557727Z ========== 2022-12-01T10:45:31.8557780Z ok (0.018s) 2022-12-01T10:45:31.8557954Z test_factory_ops_requires_grad_fail (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.013s) 2022-12-01T10:45:31.8558357Z test_init_ops (jit.test_unsupported_ops.TestUnsupportedOps) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_init_ops /var/lib/jenkins/workspace/test/jit/test_unsupported_ops.py line 56 2022-12-01T10:45:31.8558423Z due to: 2022-12-01T10:45:31.8558510Z Traceback (most recent call last): 2022-12-01T10:45:31.8558661Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8558908Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8559170Z AssertionError: torch.* op returned non-Tensor float call_function 2022-12-01T10:45:31.8559176Z 2022-12-01T10:45:31.8559233Z from user code: 2022-12-01T10:45:31.8559390Z File "/var/lib/jenkins/workspace/test/jit/test_unsupported_ops.py", line 78, in test_init_ops 2022-12-01T10:45:31.8559448Z func() 2022-12-01T10:45:31.8559453Z 2022-12-01T10:45:31.8559583Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8559642Z ========== 2022-12-01T10:45:31.8559939Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT calculate_gain /var/lib/jenkins/workspace/test/jit/test_unsupported_ops.py line 58 2022-12-01T10:45:31.8559998Z due to: 2022-12-01T10:45:31.8560086Z Traceback (most recent call last): 2022-12-01T10:45:31.8560229Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8560474Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8560740Z AssertionError: torch.* op returned non-Tensor float call_function 2022-12-01T10:45:31.8560745Z 2022-12-01T10:45:31.8560812Z from user code: 2022-12-01T10:45:31.8560972Z File "/var/lib/jenkins/workspace/test/jit/test_unsupported_ops.py", line 59, in calculate_gain 2022-12-01T10:45:31.8561145Z return torch.nn.init.calculate_gain('leaky_relu', 0.2) 2022-12-01T10:45:31.8561150Z 2022-12-01T10:45:31.8561274Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8561334Z ========== 2022-12-01T10:45:31.8561386Z ok (0.048s) 2022-12-01T10:45:31.8561820Z test_add_value_to_version_map (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_add_value_to_version_map /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 59 2022-12-01T10:45:31.8561882Z due to: 2022-12-01T10:45:31.8562005Z Traceback (most recent call last): 2022-12-01T10:45:31.8562157Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8562399Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8562723Z AssertionError: torch.* op returned non-Tensor dict call_function 2022-12-01T10:45:31.8562729Z 2022-12-01T10:45:31.8562794Z from user code: 2022-12-01T10:45:31.8562962Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 60, in test_add_value_to_version_map 2022-12-01T10:45:31.8563100Z map_before_test = torch._C._get_operator_version_map() 2022-12-01T10:45:31.8563106Z 2022-12-01T10:45:31.8563235Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8563295Z ========== 2022-12-01T10:45:31.8563357Z ok (0.004s) 2022-12-01T10:45:31.8563769Z test_aten_div_scalar_at_3 (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_div_scalar_at_3 /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 244 2022-12-01T10:45:31.8563834Z due to: 2022-12-01T10:45:31.8563923Z Traceback (most recent call last): 2022-12-01T10:45:31.8564067Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8564307Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8564588Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8564595Z 2022-12-01T10:45:31.8564664Z from user code: 2022-12-01T10:45:31.8564830Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 246, in test_aten_div_scalar_at_3 2022-12-01T10:45:31.8564930Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8564935Z 2022-12-01T10:45:31.8565061Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8565123Z ========== 2022-12-01T10:45:31.8565443Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 25 2022-12-01T10:45:31.8565494Z due to: 2022-12-01T10:45:31.8565583Z Traceback (most recent call last): 2022-12-01T10:45:31.8565733Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:45:31.8565856Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:45:31.8565947Z BytesWarning: str() on a bytes instance 2022-12-01T10:45:31.8565952Z 2022-12-01T10:45:31.8566017Z from user code: 2022-12-01T10:45:31.8566194Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 26, in 2022-12-01T10:45:31.8566297Z zipped_model = zipfile.ZipFile(buffer) 2022-12-01T10:45:31.8566302Z 2022-12-01T10:45:31.8566417Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8566478Z ========== 2022-12-01T10:45:31.8566541Z ok (0.027s) 2022-12-01T10:45:31.8567093Z test_aten_div_tensor_at_3 (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_div_tensor_at_3 /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 104 2022-12-01T10:45:31.8567155Z due to: 2022-12-01T10:45:31.8567246Z Traceback (most recent call last): 2022-12-01T10:45:31.8567397Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8567645Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8567919Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8567924Z 2022-12-01T10:45:31.8567990Z from user code: 2022-12-01T10:45:31.8568155Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 106, in test_aten_div_tensor_at_3 2022-12-01T10:45:31.8568374Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8568380Z 2022-12-01T10:45:31.8568510Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8568574Z ========== 2022-12-01T10:45:31.8568640Z ok (0.007s) 2022-12-01T10:45:31.8569071Z test_aten_div_tensor_out_at_3 (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_div_tensor_out_at_3 /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 260 2022-12-01T10:45:31.8569122Z due to: 2022-12-01T10:45:31.8569211Z Traceback (most recent call last): 2022-12-01T10:45:31.8569406Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8569656Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8569940Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8569948Z 2022-12-01T10:45:31.8570017Z from user code: 2022-12-01T10:45:31.8570188Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 262, in test_aten_div_tensor_out_at_3 2022-12-01T10:45:31.8570292Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8570297Z 2022-12-01T10:45:31.8570414Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8570472Z ========== 2022-12-01T10:45:31.8570533Z ok (0.006s) 2022-12-01T10:45:31.8570930Z test_aten_full_at_4 (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_full_at_4 /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 276 2022-12-01T10:45:31.8570993Z due to: 2022-12-01T10:45:31.8571083Z Traceback (most recent call last): 2022-12-01T10:45:31.8571237Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8571485Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8571758Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8571772Z 2022-12-01T10:45:31.8571829Z from user code: 2022-12-01T10:45:31.8571982Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 278, in test_aten_full_at_4 2022-12-01T10:45:31.8572085Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8572090Z 2022-12-01T10:45:31.8572216Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8572278Z ========== 2022-12-01T10:45:31.8572342Z ok (0.006s) 2022-12-01T10:45:31.8572796Z test_aten_full_other_variants (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 130 2022-12-01T10:45:31.8572857Z due to: 2022-12-01T10:45:31.8572936Z Traceback (most recent call last): 2022-12-01T10:45:31.8573090Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8573329Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8573656Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:45:31.8573662Z 2022-12-01T10:45:31.8573729Z from user code: 2022-12-01T10:45:31.8573913Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 132, in 2022-12-01T10:45:31.8574035Z current_flag_value = torch._C._get_version_calculator_flag() 2022-12-01T10:45:31.8574040Z 2022-12-01T10:45:31.8574166Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8574215Z ========== 2022-12-01T10:45:31.8574277Z ok (0.028s) 2022-12-01T10:45:31.8574676Z test_aten_full_out_at_4 (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_full_out_at_4 /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 292 2022-12-01T10:45:31.8574771Z due to: 2022-12-01T10:45:31.8574860Z Traceback (most recent call last): 2022-12-01T10:45:31.8575015Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8575258Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8575540Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8575545Z 2022-12-01T10:45:31.8575631Z from user code: 2022-12-01T10:45:31.8575793Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 294, in test_aten_full_out_at_4 2022-12-01T10:45:31.8575894Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8575899Z 2022-12-01T10:45:31.8576029Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8576093Z ========== 2022-12-01T10:45:31.8576158Z ok (0.006s) 2022-12-01T10:45:31.8576552Z test_aten_linspace (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_linspace /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 150 2022-12-01T10:45:31.8576612Z due to: 2022-12-01T10:45:31.8576691Z Traceback (most recent call last): 2022-12-01T10:45:31.8576843Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8577083Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8577365Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8577370Z 2022-12-01T10:45:31.8577437Z from user code: 2022-12-01T10:45:31.8577596Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 152, in test_aten_linspace 2022-12-01T10:45:31.8577702Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8577707Z 2022-12-01T10:45:31.8577833Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8577884Z ========== 2022-12-01T10:45:31.8577946Z ok (0.006s) 2022-12-01T10:45:31.8578354Z test_aten_linspace_out (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_linspace_out /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 163 2022-12-01T10:45:31.8578417Z due to: 2022-12-01T10:45:31.8578504Z Traceback (most recent call last): 2022-12-01T10:45:31.8578656Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8578899Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8579175Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8579183Z 2022-12-01T10:45:31.8579249Z from user code: 2022-12-01T10:45:31.8579403Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 165, in test_aten_linspace_out 2022-12-01T10:45:31.8579505Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8579511Z 2022-12-01T10:45:31.8579639Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8579698Z ========== 2022-12-01T10:45:31.8579760Z ok (0.005s) 2022-12-01T10:45:31.8580154Z test_aten_logspace (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_logspace /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 180 2022-12-01T10:45:31.8580213Z due to: 2022-12-01T10:45:31.8580295Z Traceback (most recent call last): 2022-12-01T10:45:31.8580444Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8580687Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8580999Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8581004Z 2022-12-01T10:45:31.8581070Z from user code: 2022-12-01T10:45:31.8581226Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 182, in test_aten_logspace 2022-12-01T10:45:31.8581328Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8581334Z 2022-12-01T10:45:31.8581461Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8581520Z ========== 2022-12-01T10:45:31.8581572Z ok (0.006s) 2022-12-01T10:45:31.8582012Z test_aten_logspace_out (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_logspace_out /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 193 2022-12-01T10:45:31.8582072Z due to: 2022-12-01T10:45:31.8582160Z Traceback (most recent call last): 2022-12-01T10:45:31.8582313Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8582558Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8582840Z AssertionError: torch.* op returned non-Tensor RecursiveScriptModule call_function 2022-12-01T10:45:31.8582846Z 2022-12-01T10:45:31.8582912Z from user code: 2022-12-01T10:45:31.8583064Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 195, in test_aten_logspace_out 2022-12-01T10:45:31.8583164Z loaded_model = torch.jit.load(model_path) 2022-12-01T10:45:31.8583169Z 2022-12-01T10:45:31.8583298Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8583358Z ========== 2022-12-01T10:45:31.8583423Z ok (0.006s) 2022-12-01T10:45:31.8583850Z test_aten_test_serialization (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_test_serialization /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 210 2022-12-01T10:45:31.8583913Z due to: 2022-12-01T10:45:31.8583999Z Traceback (most recent call last): 2022-12-01T10:45:31.8584141Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8584385Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8584650Z AssertionError: torch.* op returned non-Tensor _UpgraderEntry call_function 2022-12-01T10:45:31.8584655Z 2022-12-01T10:45:31.8584725Z from user code: 2022-12-01T10:45:31.8584894Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 217, in test_aten_test_serialization 2022-12-01T10:45:31.8585061Z dummy_entry = torch._C._UpgraderEntry(upgrader_bumped_version, upgrader_name, upgrader_schema) 2022-12-01T10:45:31.8585067Z 2022-12-01T10:45:31.8585194Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8585252Z ========== 2022-12-01T10:45:31.8585306Z ok (0.009s) 2022-12-01T10:45:31.8585782Z test_populated_test_upgrader_graph (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 84 2022-12-01T10:45:31.8585845Z due to: 2022-12-01T10:45:31.8585934Z Traceback (most recent call last): 2022-12-01T10:45:31.8586088Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8586329Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8586649Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:45:31.8586655Z 2022-12-01T10:45:31.8586721Z from user code: 2022-12-01T10:45:31.8586915Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 87, in 2022-12-01T10:45:31.8587070Z upgraders_size = torch._C._get_upgraders_map_size() 2022-12-01T10:45:31.8587075Z 2022-12-01T10:45:31.8587202Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8587262Z ========== 2022-12-01T10:45:31.8587323Z ok (0.046s) 2022-12-01T10:45:31.8587783Z test_populated_upgrader_graph (jit.test_upgraders.TestUpgraders) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/jit/test_upgraders.py line 46 2022-12-01T10:45:31.8587843Z due to: 2022-12-01T10:45:31.8587933Z Traceback (most recent call last): 2022-12-01T10:45:31.8588115Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:45:31.8588351Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:45:31.8588669Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:45:31.8588677Z 2022-12-01T10:45:31.8588744Z from user code: 2022-12-01T10:45:31.8588934Z File "/var/lib/jenkins/workspace/test/jit/test_upgraders.py", line 47, in 2022-12-01T10:45:31.8589048Z upgraders_size = torch._C._get_upgraders_map_size() 2022-12-01T10:45:31.8589053Z 2022-12-01T10:45:31.8589180Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8589243Z ========== 2022-12-01T10:45:31.8589306Z ok (0.038s) 2022-12-01T10:45:31.8589404Z test_warn (jit.test_warn.TestWarn) ... ok (0.020s) 2022-12-01T10:45:31.8589556Z test_warn_multiple_calls_multiple_warnings (jit.test_warn.TestWarn) ... ok (0.020s) 2022-12-01T10:45:31.8589703Z test_warn_multiple_calls_same_func_diff_stack (jit.test_warn.TestWarn) ... ok (0.037s) 2022-12-01T10:45:31.8589824Z test_warn_once_per_func (jit.test_warn.TestWarn) ... ok (0.026s) 2022-12-01T10:45:31.8589956Z test_warn_once_per_func_in_loop (jit.test_warn.TestWarn) ... ok (0.026s) 2022-12-01T10:45:31.8590073Z test_warn_only_once (jit.test_warn.TestWarn) ... ok (0.020s) 2022-12-01T10:45:31.8590204Z test_warn_only_once_in_loop_func (jit.test_warn.TestWarn) ... ok (0.023s) 2022-12-01T10:45:31.8590297Z test_with_as (jit.test_with.TestWith) 2022-12-01T10:45:31.8590507Z Check that with statements that use the 'as' keyword to bind expressions ... ok (0.145s) 2022-12-01T10:45:31.8590607Z test_with_errors (jit.test_with.TestWith) 2022-12-01T10:45:31.8590847Z Check that errors related to with-statements are detected and reported correctly. ... ok (0.019s) 2022-12-01T10:45:31.8590954Z test_with_exceptions (jit.test_with.TestWith) 2022-12-01T10:45:31.8591166Z Check that exceptions thrown in the bodies of with-statements are ... ok (0.031s) 2022-12-01T10:45:31.8591263Z test_with_no_as (jit.test_with.TestWith) 2022-12-01T10:45:31.8591493Z Check that with statements that do not use the 'as' keyword to bind expressions ... ok (0.146s) 2022-12-01T10:45:31.8591597Z test_with_no_grad (jit.test_with.TestWith) 2022-12-01T10:45:31.8591970Z Check that torch.no_grad() works. Most of these are adapted from ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT NoGradModule /var/lib/jenkins/workspace/test/jit/test_with.py line 583 2022-12-01T10:45:31.8592033Z due to: 2022-12-01T10:45:31.8597532Z Traceback (most recent call last): 2022-12-01T10:45:31.8597727Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:45:31.8597803Z raise Unsupported(msg) 2022-12-01T10:45:31.8597927Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:45:31.8597934Z 2022-12-01T10:45:31.8598008Z from user code: 2022-12-01T10:45:31.8598159Z File "/var/lib/jenkins/workspace/test/jit/test_with.py", line 583, in NoGradModule 2022-12-01T10:45:31.8598256Z class NoGradModule(torch.nn.Module): 2022-12-01T10:45:31.8598261Z 2022-12-01T10:45:31.8598391Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:45:31.8598560Z ========== 2022-12-01T10:45:31.8598614Z ok (0.111s) 2022-12-01T10:45:31.8598731Z test_with_record_function (jit.test_with.TestWith) 2022-12-01T10:45:31.8598973Z Check that torch.autograd.profiler.record_function context manager is ... skip: Torchdynamo cannot correctly handle profiler.profile calls (0.002s) 2022-12-01T10:45:31.8598978Z 2022-12-01T10:45:31.8599196Z ---------------------------------------------------------------------- 2022-12-01T10:45:31.8599272Z Ran 2643 tests in 277.593s 2022-12-01T10:45:31.8599277Z 2022-12-01T10:45:31.8599371Z OK (skipped=159, expected failures=7) 2022-12-01T10:45:31.8599376Z 2022-12-01T10:45:31.8599457Z Generating XML reports... 2022-12-01T10:45:31.8599822Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_alias_analysis.TestAliasAnalysis-20221201104050.xml 2022-12-01T10:45:31.8600105Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_async.TestAsync-20221201104050.xml 2022-12-01T10:45:31.8600383Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_aten_pow.TestAtenPow-20221201104050.xml 2022-12-01T10:45:31.8600687Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff.TestAutodiffJit-20221201104050.xml 2022-12-01T10:45:31.8601056Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing-20221201104050.xml 2022-12-01T10:45:31.8601344Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackends-20221201104050.xml 2022-12-01T10:45:31.8601672Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackendsWithCompiler-20221201104050.xml 2022-12-01T10:45:31.8601952Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_batch_mm.TestBatchMM-20221201104050.xml 2022-12-01T10:45:31.8602242Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestBuiltins-20221201104050.xml 2022-12-01T10:45:31.8602536Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_class_type.TestClassType-20221201104050.xml 2022-12-01T10:45:31.8602820Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_complex.TestComplex-20221201104050.xml 2022-12-01T10:45:31.8603152Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_custom_operators.TestCustomOperators-20221201104050.xml 2022-12-01T10:45:31.8603406Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dce.TestDCE-20221201104050.xml 2022-12-01T10:45:31.8603718Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dataclasses.TestDataclasses-20221201104050.xml 2022-12-01T10:45:31.8604042Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_device_analysis.TestDeviceAnalysis-20221201104050.xml 2022-12-01T10:45:31.8604355Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dtype_analysis.TestDtypeAnalysis-20221201104050.xml 2022-12-01T10:45:31.8604700Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dtype_analysis.TestDtypeCustomRulesCPU-20221201104050.xml 2022-12-01T10:45:31.8604966Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_enum.TestEnum-20221201104050.xml 2022-12-01T10:45:31.8605266Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_export_modes.TestExportModes-20221201104050.xml 2022-12-01T10:45:31.8605557Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFreezing-20221201104050.xml 2022-12-01T10:45:31.8605814Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestFrontend-20221201104050.xml 2022-12-01T10:45:31.8606128Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFrozenOptimizations-20221201104050.xml 2022-12-01T10:45:31.8606455Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_functional_blocks.TestFunctionalBlocks-20221201104050.xml 2022-12-01T10:45:31.8606869Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestFunctionalToInplaceActivation-20221201104050.xml 2022-12-01T10:45:31.8607373Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_attr.TestGetDefaultAttr-20221201104050.xml 2022-12-01T10:45:31.8607715Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_graph_rewrite_passes.TestGraphRewritePasses-20221201104050.xml 2022-12-01T10:45:31.8607982Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hash.TestHash-20221201104050.xml 2022-12-01T10:45:31.8608381Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hooks.TestHooks-20221201104050.xml 2022-12-01T10:45:31.8608701Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignorable_args.TestIgnorableArgs-20221201104050.xml 2022-12-01T10:45:31.8609057Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignore_context_manager.TestIgnoreContextManager-20221201104050.xml 2022-12-01T10:45:31.8609441Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestInplaceToFunctionalActivation-20221201104050.xml 2022-12-01T10:45:31.8609733Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_isinstance.TestIsinstance-20221201104050.xml 2022-12-01T10:45:31.8609972Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJit-20221201104050.xml 2022-12-01T10:45:31.8610257Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJitGeneratedModule-20221201104050.xml 2022-12-01T10:45:31.8610544Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_jit_utils.TestJitUtils-20221201104050.xml 2022-12-01T10:45:31.8610819Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestList-20221201104050.xml 2022-12-01T10:45:31.8611106Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_logging.TestLogging-20221201104050.xml 2022-12-01T10:45:31.8611424Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestMKLDNNReinplacing-20221201104050.xml 2022-12-01T10:45:31.8611690Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_misc.TestMisc-20221201104050.xml 2022-12-01T10:45:31.8612009Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestMixTracingScripting-20221201104050.xml 2022-12-01T10:45:31.8612284Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_models.TestModels-20221201104050.xml 2022-12-01T10:45:31.8612571Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_apis.TestModuleAPIs-20221201104050.xml 2022-12-01T10:45:31.8612903Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_containers.TestModuleContainers-20221201104050.xml 2022-12-01T10:45:31.8613230Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_interface.TestModuleInterface-20221201104050.xml 2022-12-01T10:45:31.8613509Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_modules.TestModules-20221201104050.xml 2022-12-01T10:45:31.8613800Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestNamedTuple-20221201104050.xml 2022-12-01T10:45:31.8614101Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backend_nnapi.TestNnapiBackend-20221201104050.xml 2022-12-01T10:45:31.8614443Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_op_decompositions.TestOpDecompositions-20221201104050.xml 2022-12-01T10:45:31.8614863Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo-20221201104050.xml 2022-12-01T10:45:31.8615197Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_parametrization.TestParametrization-20221201104050.xml 2022-12-01T10:45:31.8615541Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_peephole.TestPeephole-20221201104050.xml 2022-12-01T10:45:31.8615808Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestProducerVersion-20221201104050.xml 2022-12-01T10:45:31.8616099Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_profiler.TestProfiler-20221201104050.xml 2022-12-01T10:45:31.8616422Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_bindings.TestPythonBindings-20221201104050.xml 2022-12-01T10:45:31.8616774Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_builtins.TestPythonBuiltinOP-20221201104050.xml 2022-12-01T10:45:31.8617060Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_ir.TestPythonIr-20221201104050.xml 2022-12-01T10:45:31.8617380Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_recursive_script.TestRecursiveScript-20221201104050.xml 2022-12-01T10:45:31.8617699Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_remove_mutation.TestRemoveMutation-20221201104050.xml 2022-12-01T10:45:31.8617984Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoad-20221201104050.xml 2022-12-01T10:45:31.8618333Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load_for_op_version.TestSaveLoadForOpVersion-20221201104050.xml 2022-12-01T10:45:31.8618580Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestScript-20221201104050.xml 2022-12-01T10:45:31.8618864Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptDict-20221201104050.xml 2022-12-01T10:45:31.8619151Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptList-20221201104050.xml 2022-12-01T10:45:31.8619569Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation-20221201104050.xml 2022-12-01T10:45:31.8619885Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_script_profile.TestScriptProfile-20221201104050.xml 2022-12-01T10:45:31.8620156Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_slice.TestSlice-20221201104050.xml 2022-12-01T10:45:31.8620435Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_sparse.TestSparse-20221201104050.xml 2022-12-01T10:45:31.8620773Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_string_formatting.TestStringFormatting-20221201104050.xml 2022-12-01T10:45:31.8621126Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis-20221201104050.xml 2022-12-01T10:45:31.8621435Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestTensorBuiltins-20221201104050.xml 2022-12-01T10:45:31.8621751Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_creation_ops.TestTensorCreationOps-20221201104050.xml 2022-12-01T10:45:31.8622062Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_methods.TestTensorMethods-20221201104050.xml 2022-12-01T10:45:31.8622355Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_torchbind.TestTorchbind-20221201104050.xml 2022-12-01T10:45:31.8622629Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestTracer-20221201104050.xml 2022-12-01T10:45:31.8622935Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_type_sharing.TestTypeSharing-20221201104050.xml 2022-12-01T10:45:31.8623245Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_types.TestTypesAndAnnotation-20221201104050.xml 2022-12-01T10:45:31.8623523Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_typing.TestTyping-20221201104050.xml 2022-12-01T10:45:31.8623822Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_union.TestUnion-20221201104050.xml 2022-12-01T10:45:31.8624135Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_unsupported_ops.TestUnsupportedOps-20221201104050.xml 2022-12-01T10:45:31.8624432Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_upgraders.TestUpgraders-20221201104050.xml 2022-12-01T10:45:31.8624686Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_warn.TestWarn-20221201104050.xml 2022-12-01T10:45:31.8624980Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_with.TestWith-20221201104050.xml 2022-12-01T10:45:31.8625295Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_data_parallel.TestDataParallel-20221201104050.xml 2022-12-01T10:45:31.8625569Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestDict-20221201104050.xml 2022-12-01T10:45:31.8625887Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoadFlatbuffer-20221201104050.xml 2022-12-01T10:45:31.8625893Z 2022-12-01T10:45:31.8626295Z ##[endgroup] 2022-12-01T10:45:31.8626556Z FINISHED PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_kgnj4oy0) 2022-12-01T10:45:31.8626561Z 2022-12-01T10:45:31.8626717Z Running test_foreach ... [2022-12-01 10:45:31.631425] 2022-12-01T10:45:31.8627036Z Executing ['/opt/conda/bin/python', '-bb', 'test_foreach.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:45:31.631827] 2022-12-01T10:46:58.8535591Z 2022-12-01T10:46:58.8536117Z Expand the folded group to see the log file of test_foreach 2022-12-01T10:46:58.8537147Z ##[group]PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_1cqtw_1j) 2022-12-01T10:46:58.8537897Z Test results will be stored in test-reports/python-unittest/test_foreach 2022-12-01T10:46:58.8538180Z 2022-12-01T10:46:58.8538298Z Running tests... 2022-12-01T10:46:58.8538795Z ---------------------------------------------------------------------- 2022-12-01T10:46:58.8539382Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.115s) 2022-12-01T10:46:58.8568378Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_bool (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8569070Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8569523Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8570001Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8570693Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8571092Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_float64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8571458Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8571832Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8572186Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8572668Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8573312Z test_add_scalar_with_empty_list_and_empty_tensor_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8573869Z test_binary_op_list_error_cases__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.014s) 2022-12-01T10:46:58.8574276Z test_binary_op_list_error_cases__foreach_add_cpu_bool (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8574841Z test_binary_op_list_error_cases__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8575250Z test_binary_op_list_error_cases__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8575654Z test_binary_op_list_error_cases__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8576036Z test_binary_op_list_error_cases__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8576487Z test_binary_op_list_error_cases__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8576880Z test_binary_op_list_error_cases__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8577269Z test_binary_op_list_error_cases__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8577639Z test_binary_op_list_error_cases__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8578023Z test_binary_op_list_error_cases__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8578404Z test_binary_op_list_error_cases__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8578801Z test_binary_op_list_error_cases__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8579182Z test_binary_op_list_error_cases__foreach_div_cpu_bool (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8579573Z test_binary_op_list_error_cases__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8579973Z test_binary_op_list_error_cases__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8607967Z test_binary_op_list_error_cases__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8622669Z test_binary_op_list_error_cases__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8623197Z test_binary_op_list_error_cases__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8623591Z test_binary_op_list_error_cases__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8624138Z test_binary_op_list_error_cases__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8624855Z test_binary_op_list_error_cases__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8625466Z test_binary_op_list_error_cases__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8626147Z test_binary_op_list_error_cases__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8626783Z test_binary_op_list_error_cases__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8627462Z test_binary_op_list_error_cases__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8628467Z test_binary_op_list_error_cases__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8652190Z test_binary_op_list_error_cases__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8652648Z test_binary_op_list_error_cases__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8653052Z test_binary_op_list_error_cases__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8653449Z test_binary_op_list_error_cases__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8653934Z test_binary_op_list_error_cases__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8654328Z test_binary_op_list_error_cases__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8654711Z test_binary_op_list_error_cases__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8655104Z test_binary_op_list_error_cases__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8655477Z test_binary_op_list_error_cases__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8655867Z test_binary_op_list_error_cases__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8656257Z test_binary_op_list_error_cases__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8656656Z test_binary_op_list_error_cases__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8657041Z test_binary_op_list_error_cases__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8657440Z test_binary_op_list_error_cases__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8657830Z test_binary_op_list_error_cases__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8658219Z test_binary_op_list_error_cases__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8658596Z test_binary_op_list_error_cases__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8658981Z test_binary_op_list_error_cases__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8659360Z test_binary_op_list_error_cases__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8659747Z test_binary_op_list_error_cases__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8660119Z test_binary_op_list_error_cases__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... skip: Different error msgs, TODO (0.003s) 2022-12-01T10:46:58.8660497Z test_binary_op_list_slow_path__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8660869Z test_binary_op_list_slow_path__foreach_add_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8661242Z test_binary_op_list_slow_path__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8661606Z test_binary_op_list_slow_path__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8661978Z test_binary_op_list_slow_path__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8662345Z test_binary_op_list_slow_path__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8662767Z test_binary_op_list_slow_path__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8663115Z test_binary_op_list_slow_path__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8663473Z test_binary_op_list_slow_path__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8663833Z test_binary_op_list_slow_path__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8664224Z test_binary_op_list_slow_path__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8664572Z test_binary_op_list_slow_path__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8664934Z test_binary_op_list_slow_path__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8665303Z test_binary_op_list_slow_path__foreach_div_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8665659Z test_binary_op_list_slow_path__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8666029Z test_binary_op_list_slow_path__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8666396Z test_binary_op_list_slow_path__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8666762Z test_binary_op_list_slow_path__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8667112Z test_binary_op_list_slow_path__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8667471Z test_binary_op_list_slow_path__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8667835Z test_binary_op_list_slow_path__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8668196Z test_binary_op_list_slow_path__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8668540Z test_binary_op_list_slow_path__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8668898Z test_binary_op_list_slow_path__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8669261Z test_binary_op_list_slow_path__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8669622Z test_binary_op_list_slow_path__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8669976Z test_binary_op_list_slow_path__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8670348Z test_binary_op_list_slow_path__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8670713Z test_binary_op_list_slow_path__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8671078Z test_binary_op_list_slow_path__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8671425Z test_binary_op_list_slow_path__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8671782Z test_binary_op_list_slow_path__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8672140Z test_binary_op_list_slow_path__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8672495Z test_binary_op_list_slow_path__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8672873Z test_binary_op_list_slow_path__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8673229Z test_binary_op_list_slow_path__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8673587Z test_binary_op_list_slow_path__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8673933Z test_binary_op_list_slow_path__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8674331Z test_binary_op_list_slow_path__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8674703Z test_binary_op_list_slow_path__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8675069Z test_binary_op_list_slow_path__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8675419Z test_binary_op_list_slow_path__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8675781Z test_binary_op_list_slow_path__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8676137Z test_binary_op_list_slow_path__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8676497Z test_binary_op_list_slow_path__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8676842Z test_binary_op_list_slow_path__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8677197Z test_binary_op_list_slow_path__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8677555Z test_binary_op_list_slow_path__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s) 2022-12-01T10:46:58.8677913Z test_binary_op_scalar_fastpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (1.928s) 2022-12-01T10:46:58.8678246Z test_binary_op_scalar_fastpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.099s) 2022-12-01T10:46:58.8678590Z test_binary_op_scalar_fastpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.072s) 2022-12-01T10:46:58.8678939Z test_binary_op_scalar_fastpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.074s) 2022-12-01T10:46:58.8679744Z test_binary_op_scalar_fastpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... test_foreach.py:87: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-12-01T10:46:58.8680278Z actual = self.func(*inputs, **kwargs) 2022-12-01T10:46:58.8680456Z ok (0.069s) 2022-12-01T10:46:58.8680720Z test_binary_op_scalar_fastpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.060s) 2022-12-01T10:46:58.8681061Z test_binary_op_scalar_fastpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.057s) 2022-12-01T10:46:58.8681391Z test_binary_op_scalar_fastpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.062s) 2022-12-01T10:46:58.8681727Z test_binary_op_scalar_fastpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.064s) 2022-12-01T10:46:58.8682058Z test_binary_op_scalar_fastpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.061s) 2022-12-01T10:46:58.8682397Z test_binary_op_scalar_fastpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.062s) 2022-12-01T10:46:58.8682717Z test_binary_op_scalar_fastpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.063s) 2022-12-01T10:46:58.8683060Z test_binary_op_scalar_fastpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.056s) 2022-12-01T10:46:58.8683399Z test_binary_op_scalar_fastpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.094s) 2022-12-01T10:46:58.8683768Z test_binary_op_scalar_fastpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.052s) 2022-12-01T10:46:58.8684112Z test_binary_op_scalar_fastpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.054s) 2022-12-01T10:46:58.8684451Z test_binary_op_scalar_fastpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.071s) 2022-12-01T10:46:58.8684786Z test_binary_op_scalar_fastpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.057s) 2022-12-01T10:46:58.8685143Z test_binary_op_scalar_fastpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.055s) 2022-12-01T10:46:58.8685481Z test_binary_op_scalar_fastpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.094s) 2022-12-01T10:46:58.8685813Z test_binary_op_scalar_fastpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.095s) 2022-12-01T10:46:58.8686143Z test_binary_op_scalar_fastpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.095s) 2022-12-01T10:46:58.8686461Z test_binary_op_scalar_fastpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.094s) 2022-12-01T10:46:58.8686787Z test_binary_op_scalar_fastpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.094s) 2022-12-01T10:46:58.8687323Z test_binary_op_scalar_fastpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.056s) 2022-12-01T10:46:58.8687657Z test_binary_op_scalar_fastpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.074s) 2022-12-01T10:46:58.8688005Z test_binary_op_scalar_fastpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.051s) 2022-12-01T10:46:58.8688431Z test_binary_op_scalar_fastpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.054s) 2022-12-01T10:46:58.8688777Z test_binary_op_scalar_fastpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.057s) 2022-12-01T10:46:58.8689103Z test_binary_op_scalar_fastpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.058s) 2022-12-01T10:46:58.8689442Z test_binary_op_scalar_fastpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.056s) 2022-12-01T10:46:58.8689775Z test_binary_op_scalar_fastpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.060s) 2022-12-01T10:46:58.8690106Z test_binary_op_scalar_fastpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.061s) 2022-12-01T10:46:58.8690417Z test_binary_op_scalar_fastpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.058s) 2022-12-01T10:46:58.8690750Z test_binary_op_scalar_fastpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.060s) 2022-12-01T10:46:58.8691076Z test_binary_op_scalar_fastpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.062s) 2022-12-01T10:46:58.8691395Z test_binary_op_scalar_fastpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.083s) 2022-12-01T10:46:58.8691733Z test_binary_op_scalar_fastpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.137s) 2022-12-01T10:46:58.8692078Z test_binary_op_scalar_fastpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.076s) 2022-12-01T10:46:58.8692423Z test_binary_op_scalar_fastpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.077s) 2022-12-01T10:46:58.8692749Z test_binary_op_scalar_fastpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.084s) 2022-12-01T10:46:58.8693083Z test_binary_op_scalar_fastpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.084s) 2022-12-01T10:46:58.8693420Z test_binary_op_scalar_fastpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.082s) 2022-12-01T10:46:58.8693756Z test_binary_op_scalar_fastpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.091s) 2022-12-01T10:46:58.8694072Z test_binary_op_scalar_fastpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.091s) 2022-12-01T10:46:58.8694476Z test_binary_op_scalar_fastpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.090s) 2022-12-01T10:46:58.8694807Z test_binary_op_scalar_fastpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.091s) 2022-12-01T10:46:58.8695124Z test_binary_op_scalar_fastpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.091s) 2022-12-01T10:46:58.8695460Z test_binary_op_scalar_slowpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.077s) 2022-12-01T10:46:58.8695800Z test_binary_op_scalar_slowpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.083s) 2022-12-01T10:46:58.8696213Z test_binary_op_scalar_slowpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.058s) 2022-12-01T10:46:58.8696550Z test_binary_op_scalar_slowpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.059s) 2022-12-01T10:46:58.8696890Z test_binary_op_scalar_slowpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.065s) 2022-12-01T10:46:58.8697232Z test_binary_op_scalar_slowpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.065s) 2022-12-01T10:46:58.8697572Z test_binary_op_scalar_slowpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.063s) 2022-12-01T10:46:58.8697890Z test_binary_op_scalar_slowpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.067s) 2022-12-01T10:46:58.8698221Z test_binary_op_scalar_slowpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.068s) 2022-12-01T10:46:58.8698549Z test_binary_op_scalar_slowpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.066s) 2022-12-01T10:46:58.8698869Z test_binary_op_scalar_slowpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.067s) 2022-12-01T10:46:58.8699196Z test_binary_op_scalar_slowpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.067s) 2022-12-01T10:46:58.8699532Z test_binary_op_scalar_slowpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.062s) 2022-12-01T10:46:58.8699869Z test_binary_op_scalar_slowpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.098s) 2022-12-01T10:46:58.8700199Z test_binary_op_scalar_slowpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.072s) 2022-12-01T10:46:58.8700543Z test_binary_op_scalar_slowpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.060s) 2022-12-01T10:46:58.8700884Z test_binary_op_scalar_slowpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.076s) 2022-12-01T10:46:58.8701223Z test_binary_op_scalar_slowpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.063s) 2022-12-01T10:46:58.8701545Z test_binary_op_scalar_slowpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.061s) 2022-12-01T10:46:58.8701879Z test_binary_op_scalar_slowpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.099s) 2022-12-01T10:46:58.8702204Z test_binary_op_scalar_slowpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.100s) 2022-12-01T10:46:58.8702520Z test_binary_op_scalar_slowpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.100s) 2022-12-01T10:46:58.8702847Z test_binary_op_scalar_slowpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.099s) 2022-12-01T10:46:58.8703170Z test_binary_op_scalar_slowpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.099s) 2022-12-01T10:46:58.8703504Z test_binary_op_scalar_slowpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.062s) 2022-12-01T10:46:58.8703825Z test_binary_op_scalar_slowpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.079s) 2022-12-01T10:46:58.8704164Z test_binary_op_scalar_slowpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.058s) 2022-12-01T10:46:58.8704508Z test_binary_op_scalar_slowpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.074s) 2022-12-01T10:46:58.8704847Z test_binary_op_scalar_slowpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.063s) 2022-12-01T10:46:58.8705200Z test_binary_op_scalar_slowpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.063s) 2022-12-01T10:46:58.8705532Z test_binary_op_scalar_slowpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.061s) 2022-12-01T10:46:58.8705864Z test_binary_op_scalar_slowpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.065s) 2022-12-01T10:46:58.8706179Z test_binary_op_scalar_slowpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.065s) 2022-12-01T10:46:58.8706501Z test_binary_op_scalar_slowpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.063s) 2022-12-01T10:46:58.8706862Z test_binary_op_scalar_slowpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.065s) 2022-12-01T10:46:58.8707190Z test_binary_op_scalar_slowpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.065s) 2022-12-01T10:46:58.8707512Z test_binary_op_scalar_slowpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.088s) 2022-12-01T10:46:58.8707849Z test_binary_op_scalar_slowpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.142s) 2022-12-01T10:46:58.8708188Z test_binary_op_scalar_slowpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.082s) 2022-12-01T10:46:58.8708534Z test_binary_op_scalar_slowpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.083s) 2022-12-01T10:46:58.8708857Z test_binary_op_scalar_slowpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.092s) 2022-12-01T10:46:58.8709194Z test_binary_op_scalar_slowpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.097s) 2022-12-01T10:46:58.8709528Z test_binary_op_scalar_slowpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.090s) 2022-12-01T10:46:58.8709849Z test_binary_op_scalar_slowpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.096s) 2022-12-01T10:46:58.8710181Z test_binary_op_scalar_slowpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.097s) 2022-12-01T10:46:58.8710505Z test_binary_op_scalar_slowpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.095s) 2022-12-01T10:46:58.8710837Z test_binary_op_scalar_slowpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.096s) 2022-12-01T10:46:58.8711151Z test_binary_op_scalar_slowpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.096s) 2022-12-01T10:46:58.8711508Z test_binary_op_scalar_with_different_tensor_dtypes__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8711886Z test_binary_op_scalar_with_different_tensor_dtypes__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.008s) 2022-12-01T10:46:58.8712262Z test_binary_op_scalar_with_different_tensor_dtypes__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.008s) 2022-12-01T10:46:58.8712620Z test_binary_op_scalar_with_different_tensor_dtypes__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.008s) 2022-12-01T10:46:58.8712994Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8713368Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8713742Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8714107Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8714488Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8714860Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8715225Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8715578Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8715969Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8716327Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8716684Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8717043Z test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8717440Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8717815Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8718173Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8718552Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8718927Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8719297Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8719651Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8720015Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8720372Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8720729Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8721079Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8721436Z test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8721802Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8722170Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8722531Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8722906Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8723276Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8723648Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8724000Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8724363Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8724721Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8725069Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8725430Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8725786Z test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8726190Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8726545Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8726916Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8727849Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8728368Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8728731Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8729102Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8729469Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8729826Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8730170Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8730535Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8730895Z test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s) 2022-12-01T10:46:58.8731256Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.264s) 2022-12-01T10:46:58.8731592Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.126s) 2022-12-01T10:46:58.8731949Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.076s) 2022-12-01T10:46:58.8732305Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.080s) 2022-12-01T10:46:58.8732658Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.109s) 2022-12-01T10:46:58.8732996Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.111s) 2022-12-01T10:46:58.8733344Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.107s) 2022-12-01T10:46:58.8733694Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.110s) 2022-12-01T10:46:58.8734026Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.112s) 2022-12-01T10:46:58.8734371Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.109s) 2022-12-01T10:46:58.8734719Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.110s) 2022-12-01T10:46:58.8735063Z test_binary_op_scalarlist_fastpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.111s) 2022-12-01T10:46:58.8735399Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.104s) 2022-12-01T10:46:58.8735745Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.140s) 2022-12-01T10:46:58.8736094Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.077s) 2022-12-01T10:46:58.8736455Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.080s) 2022-12-01T10:46:58.8736793Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.146s) 2022-12-01T10:46:58.8737139Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.105s) 2022-12-01T10:46:58.8737534Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.102s) 2022-12-01T10:46:58.8737865Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.140s) 2022-12-01T10:46:58.8738209Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.142s) 2022-12-01T10:46:58.8738551Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.141s) 2022-12-01T10:46:58.8738892Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.140s) 2022-12-01T10:46:58.8739253Z test_binary_op_scalarlist_fastpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.140s) 2022-12-01T10:46:58.8739606Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.104s) 2022-12-01T10:46:58.8739953Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.120s) 2022-12-01T10:46:58.8740303Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.077s) 2022-12-01T10:46:58.8740645Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.080s) 2022-12-01T10:46:58.8740996Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.105s) 2022-12-01T10:46:58.8741346Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.107s) 2022-12-01T10:46:58.8741694Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.104s) 2022-12-01T10:46:58.8742023Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.106s) 2022-12-01T10:46:58.8742363Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.108s) 2022-12-01T10:46:58.8742703Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.104s) 2022-12-01T10:46:58.8743026Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.105s) 2022-12-01T10:46:58.8743368Z test_binary_op_scalarlist_fastpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.106s) 2022-12-01T10:46:58.8743716Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.143s) 2022-12-01T10:46:58.8744060Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.205s) 2022-12-01T10:46:58.8744396Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.125s) 2022-12-01T10:46:58.8744752Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.127s) 2022-12-01T10:46:58.8745103Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.144s) 2022-12-01T10:46:58.8745448Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.145s) 2022-12-01T10:46:58.8745780Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.143s) 2022-12-01T10:46:58.8746125Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.150s) 2022-12-01T10:46:58.8746464Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.150s) 2022-12-01T10:46:58.8746789Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.149s) 2022-12-01T10:46:58.8747126Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.149s) 2022-12-01T10:46:58.8747468Z test_binary_op_scalarlist_fastpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.149s) 2022-12-01T10:46:58.8747815Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.132s) 2022-12-01T10:46:58.8748180Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.133s) 2022-12-01T10:46:58.8748529Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.087s) 2022-12-01T10:46:58.8748888Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.102s) 2022-12-01T10:46:58.8749240Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.119s) 2022-12-01T10:46:58.8749575Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.119s) 2022-12-01T10:46:58.8749959Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.117s) 2022-12-01T10:46:58.8750306Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.118s) 2022-12-01T10:46:58.8750634Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.119s) 2022-12-01T10:46:58.8750974Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.117s) 2022-12-01T10:46:58.8751316Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.118s) 2022-12-01T10:46:58.8751660Z test_binary_op_scalarlist_slowpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.119s) 2022-12-01T10:46:58.8751994Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.122s) 2022-12-01T10:46:58.8752341Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.147s) 2022-12-01T10:46:58.8752693Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.087s) 2022-12-01T10:46:58.8753050Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.089s) 2022-12-01T10:46:58.8753392Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.155s) 2022-12-01T10:46:58.8753738Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.115s) 2022-12-01T10:46:58.8754085Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.112s) 2022-12-01T10:46:58.8754429Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.149s) 2022-12-01T10:46:58.8754759Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.158s) 2022-12-01T10:46:58.8755102Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.149s) 2022-12-01T10:46:58.8755443Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.148s) 2022-12-01T10:46:58.8755770Z test_binary_op_scalarlist_slowpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.148s) 2022-12-01T10:46:58.8756118Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.112s) 2022-12-01T10:46:58.8756466Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.127s) 2022-12-01T10:46:58.8756813Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.088s) 2022-12-01T10:46:58.8757157Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.090s) 2022-12-01T10:46:58.8757507Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.120s) 2022-12-01T10:46:58.8757852Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.119s) 2022-12-01T10:46:58.8758198Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.113s) 2022-12-01T10:46:58.8758528Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.114s) 2022-12-01T10:46:58.8758905Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.114s) 2022-12-01T10:46:58.8759240Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.112s) 2022-12-01T10:46:58.8759562Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.113s) 2022-12-01T10:46:58.8759904Z test_binary_op_scalarlist_slowpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.114s) 2022-12-01T10:46:58.8760254Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.152s) 2022-12-01T10:46:58.8760632Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.220s) 2022-12-01T10:46:58.8760971Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.136s) 2022-12-01T10:46:58.8761324Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.136s) 2022-12-01T10:46:58.8761678Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.154s) 2022-12-01T10:46:58.8762025Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.154s) 2022-12-01T10:46:58.8762357Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.153s) 2022-12-01T10:46:58.8762702Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.161s) 2022-12-01T10:46:58.8763046Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.162s) 2022-12-01T10:46:58.8763385Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.156s) 2022-12-01T10:46:58.8763709Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.157s) 2022-12-01T10:46:58.8764052Z test_binary_op_scalarlist_slowpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.158s) 2022-12-01T10:46:58.8764400Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.073s) 2022-12-01T10:46:58.8764737Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.047s) 2022-12-01T10:46:58.8765094Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.049s) 2022-12-01T10:46:58.8765454Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.050s) 2022-12-01T10:46:58.8765811Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.040s) 2022-12-01T10:46:58.8766153Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.040s) 2022-12-01T10:46:58.8766501Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.038s) 2022-12-01T10:46:58.8766853Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.021s) 2022-12-01T10:46:58.8767342Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8767673Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.020s) 2022-12-01T10:46:58.8768019Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.021s) 2022-12-01T10:46:58.8768435Z test_binary_op_tensorlists_fastpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.022s) 2022-12-01T10:46:58.8768773Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8769123Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.044s) 2022-12-01T10:46:58.8769476Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.031s) 2022-12-01T10:46:58.8769901Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.032s) 2022-12-01T10:46:58.8770242Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8770592Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8770936Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.022s) 2022-12-01T10:46:58.8771345Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.045s) 2022-12-01T10:46:58.8771681Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.045s) 2022-12-01T10:46:58.8772023Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.045s) 2022-12-01T10:46:58.8772370Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.045s) 2022-12-01T10:46:58.8772715Z test_binary_op_tensorlists_fastpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.045s) 2022-12-01T10:46:58.8773049Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8773398Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8773752Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.031s) 2022-12-01T10:46:58.8774098Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.031s) 2022-12-01T10:46:58.8774450Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8774799Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8775148Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8775480Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8775823Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8776163Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8776507Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8776838Z test_binary_op_tensorlists_fastpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8777185Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.038s) 2022-12-01T10:46:58.8777532Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.121s) 2022-12-01T10:46:58.8777872Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.049s) 2022-12-01T10:46:58.8778229Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.050s) 2022-12-01T10:46:58.8778579Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.040s) 2022-12-01T10:46:58.8778929Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.040s) 2022-12-01T10:46:58.8779265Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.038s) 2022-12-01T10:46:58.8779608Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.021s) 2022-12-01T10:46:58.8779955Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8780329Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.020s) 2022-12-01T10:46:58.8780662Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.021s) 2022-12-01T10:46:58.8781004Z test_binary_op_tensorlists_fastpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.021s) 2022-12-01T10:46:58.8781354Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.060s) 2022-12-01T10:46:58.8781704Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.051s) 2022-12-01T10:46:58.8782073Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.055s) 2022-12-01T10:46:58.8782433Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.055s) 2022-12-01T10:46:58.8782786Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.046s) 2022-12-01T10:46:58.8783128Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.046s) 2022-12-01T10:46:58.8783474Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.043s) 2022-12-01T10:46:58.8783824Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8784170Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8784500Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s) 2022-12-01T10:46:58.8784845Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8785192Z test_binary_op_tensorlists_slowpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8785543Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.029s) 2022-12-01T10:46:58.8785879Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.049s) 2022-12-01T10:46:58.8786233Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.037s) 2022-12-01T10:46:58.8786589Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.037s) 2022-12-01T10:46:58.8786942Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.029s) 2022-12-01T10:46:58.8787279Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.029s) 2022-12-01T10:46:58.8787625Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.028s) 2022-12-01T10:46:58.8787974Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.050s) 2022-12-01T10:46:58.8788307Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.050s) 2022-12-01T10:46:58.8788647Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.050s) 2022-12-01T10:46:58.8788991Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.049s) 2022-12-01T10:46:58.8789334Z test_binary_op_tensorlists_slowpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.050s) 2022-12-01T10:46:58.8789668Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.028s) 2022-12-01T10:46:58.8790016Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8790366Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.037s) 2022-12-01T10:46:58.8790725Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.037s) 2022-12-01T10:46:58.8791110Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.029s) 2022-12-01T10:46:58.8791456Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.029s) 2022-12-01T10:46:58.8791803Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.028s) 2022-12-01T10:46:58.8792133Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8792476Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8792849Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8793194Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8793524Z test_binary_op_tensorlists_slowpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8793872Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.044s) 2022-12-01T10:46:58.8794219Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.126s) 2022-12-01T10:46:58.8794569Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.055s) 2022-12-01T10:46:58.8794914Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.055s) 2022-12-01T10:46:58.8795266Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.046s) 2022-12-01T10:46:58.8795615Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.046s) 2022-12-01T10:46:58.8795962Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.043s) 2022-12-01T10:46:58.8796297Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8796641Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8796979Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8797309Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8797651Z test_binary_op_tensorlists_slowpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.026s) 2022-12-01T10:46:58.8798033Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8798441Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8798834Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8799250Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8799656Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8800057Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8800443Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8800835Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8801231Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8801659Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8802042Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8802437Z test_binary_op_tensors_on_different_devices__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8802834Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8803264Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8803659Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8804068Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8804471Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8804869Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8805250Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8805643Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8806035Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8806428Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8806813Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8807336Z test_binary_op_tensors_on_different_devices__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8807742Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8808200Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8808592Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8809001Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8809409Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8809842Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8810222Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8810607Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8811002Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8811396Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8811830Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8812223Z test_binary_op_tensors_on_different_devices__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8812623Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8813019Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8813453Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8813862Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8814263Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8814659Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8815051Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8815424Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8815819Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8816212Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8816607Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8816988Z test_binary_op_tensors_on_different_devices__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:46:58.8817376Z test_foreach_l2_large_value_input__foreach_norm_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8817762Z test_foreach_l2_large_value_input__foreach_norm_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8818119Z test_minmax_fastpath__foreach_maximum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.768s) 2022-12-01T10:46:58.8818438Z test_minmax_fastpath__foreach_maximum_cpu_bool (__main__.TestForeachCPU) ... ok (0.643s) 2022-12-01T10:46:58.8818765Z test_minmax_fastpath__foreach_maximum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.658s) 2022-12-01T10:46:58.8819090Z test_minmax_fastpath__foreach_maximum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.774s) 2022-12-01T10:46:58.8819405Z test_minmax_fastpath__foreach_maximum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8819731Z test_minmax_fastpath__foreach_maximum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8820056Z test_minmax_fastpath__foreach_maximum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8820373Z test_minmax_fastpath__foreach_maximum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8820674Z test_minmax_fastpath__foreach_maximum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8820996Z test_minmax_fastpath__foreach_maximum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8821322Z test_minmax_fastpath__foreach_minimum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8821631Z test_minmax_fastpath__foreach_minimum_cpu_bool (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8821956Z test_minmax_fastpath__foreach_minimum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8822316Z test_minmax_fastpath__foreach_minimum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8822638Z test_minmax_fastpath__foreach_minimum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8822947Z test_minmax_fastpath__foreach_minimum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8823267Z test_minmax_fastpath__foreach_minimum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8823584Z test_minmax_fastpath__foreach_minimum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8823928Z test_minmax_fastpath__foreach_minimum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8824237Z test_minmax_fastpath__foreach_minimum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8824567Z test_minmax_float_inf_nan__foreach_maximum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8824905Z test_minmax_float_inf_nan__foreach_maximum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.019s) 2022-12-01T10:46:58.8825224Z test_minmax_float_inf_nan__foreach_maximum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.019s) 2022-12-01T10:46:58.8825559Z test_minmax_float_inf_nan__foreach_maximum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.020s) 2022-12-01T10:46:58.8825896Z test_minmax_float_inf_nan__foreach_minimum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8826227Z test_minmax_float_inf_nan__foreach_minimum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8826547Z test_minmax_float_inf_nan__foreach_minimum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8826876Z test_minmax_float_inf_nan__foreach_minimum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.002s) 2022-12-01T10:46:58.8827208Z test_minmax_slowpath__foreach_maximum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8827536Z test_minmax_slowpath__foreach_maximum_cpu_bool (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8827847Z test_minmax_slowpath__foreach_maximum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8828171Z test_minmax_slowpath__foreach_maximum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8828494Z test_minmax_slowpath__foreach_maximum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8828801Z test_minmax_slowpath__foreach_maximum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8829126Z test_minmax_slowpath__foreach_maximum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8829444Z test_minmax_slowpath__foreach_maximum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8829760Z test_minmax_slowpath__foreach_maximum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8830066Z test_minmax_slowpath__foreach_maximum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8830390Z test_minmax_slowpath__foreach_minimum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8830717Z test_minmax_slowpath__foreach_minimum_cpu_bool (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8831023Z test_minmax_slowpath__foreach_minimum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8831349Z test_minmax_slowpath__foreach_minimum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8831672Z test_minmax_slowpath__foreach_minimum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8831994Z test_minmax_slowpath__foreach_minimum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8832301Z test_minmax_slowpath__foreach_minimum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8832620Z test_minmax_slowpath__foreach_minimum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8832968Z test_minmax_slowpath__foreach_minimum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8833288Z test_minmax_slowpath__foreach_minimum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s) 2022-12-01T10:46:58.8833611Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_complex128 (__main__.TestForeachCPU) ... ok (2.360s) 2022-12-01T10:46:58.8833967Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_complex64 (__main__.TestForeachCPU) ... ok (1.268s) 2022-12-01T10:46:58.8834318Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_float32 (__main__.TestForeachCPU) ... ok (1.034s) 2022-12-01T10:46:58.8834683Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_float64 (__main__.TestForeachCPU) ... ok (1.023s) 2022-12-01T10:46:58.8835026Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_int16 (__main__.TestForeachCPU) ... ok (1.457s) 2022-12-01T10:46:58.8835361Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_int32 (__main__.TestForeachCPU) ... ok (1.459s) 2022-12-01T10:46:58.8835695Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_int64 (__main__.TestForeachCPU) ... ok (1.449s) 2022-12-01T10:46:58.8836021Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_int8 (__main__.TestForeachCPU) ... ok (1.451s) 2022-12-01T10:46:58.8836356Z test_pointwise_op_fastpath__foreach_addcdiv_cpu_uint8 (__main__.TestForeachCPU) ... ok (1.456s) 2022-12-01T10:46:58.8836703Z test_pointwise_op_fastpath__foreach_addcmul_cpu_complex128 (__main__.TestForeachCPU) ... ok (1.258s) 2022-12-01T10:46:58.8837053Z test_pointwise_op_fastpath__foreach_addcmul_cpu_complex64 (__main__.TestForeachCPU) ... ok (1.258s) 2022-12-01T10:46:58.8837391Z test_pointwise_op_fastpath__foreach_addcmul_cpu_float32 (__main__.TestForeachCPU) ... ok (1.023s) 2022-12-01T10:46:58.8837734Z test_pointwise_op_fastpath__foreach_addcmul_cpu_float64 (__main__.TestForeachCPU) ... ok (1.033s) 2022-12-01T10:46:58.8838072Z test_pointwise_op_fastpath__foreach_addcmul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.899s) 2022-12-01T10:46:58.8838395Z test_pointwise_op_fastpath__foreach_addcmul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.897s) 2022-12-01T10:46:58.8838725Z test_pointwise_op_fastpath__foreach_addcmul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.881s) 2022-12-01T10:46:58.8839062Z test_pointwise_op_fastpath__foreach_addcmul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.891s) 2022-12-01T10:46:58.8839395Z test_pointwise_op_fastpath__foreach_addcmul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.893s) 2022-12-01T10:46:58.8839725Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_complex128 (__main__.TestForeachCPU) ... ok (1.372s) 2022-12-01T10:46:58.8840079Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_complex64 (__main__.TestForeachCPU) ... ok (1.356s) 2022-12-01T10:46:58.8840427Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_float32 (__main__.TestForeachCPU) ... ok (1.129s) 2022-12-01T10:46:58.8840777Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_float64 (__main__.TestForeachCPU) ... ok (1.123s) 2022-12-01T10:46:58.8841104Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_int16 (__main__.TestForeachCPU) ... ok (1.543s) 2022-12-01T10:46:58.8841435Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_int32 (__main__.TestForeachCPU) ... ok (1.539s) 2022-12-01T10:46:58.8841768Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_int64 (__main__.TestForeachCPU) ... ok (1.544s) 2022-12-01T10:46:58.8842095Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_int8 (__main__.TestForeachCPU) ... ok (1.540s) 2022-12-01T10:46:58.8842429Z test_pointwise_op_slowpath__foreach_addcdiv_cpu_uint8 (__main__.TestForeachCPU) ... ok (1.548s) 2022-12-01T10:46:58.8842776Z test_pointwise_op_slowpath__foreach_addcmul_cpu_complex128 (__main__.TestForeachCPU) ... ok (1.354s) 2022-12-01T10:46:58.8843131Z test_pointwise_op_slowpath__foreach_addcmul_cpu_complex64 (__main__.TestForeachCPU) ... ok (1.345s) 2022-12-01T10:46:58.8843462Z test_pointwise_op_slowpath__foreach_addcmul_cpu_float32 (__main__.TestForeachCPU) ... ok (1.121s) 2022-12-01T10:46:58.8843837Z test_pointwise_op_slowpath__foreach_addcmul_cpu_float64 (__main__.TestForeachCPU) ... ok (1.116s) 2022-12-01T10:46:58.8844177Z test_pointwise_op_slowpath__foreach_addcmul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.969s) 2022-12-01T10:46:58.8844510Z test_pointwise_op_slowpath__foreach_addcmul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.969s) 2022-12-01T10:46:58.8844825Z test_pointwise_op_slowpath__foreach_addcmul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.960s) 2022-12-01T10:46:58.8845160Z test_pointwise_op_slowpath__foreach_addcmul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.968s) 2022-12-01T10:46:58.8845536Z test_pointwise_op_slowpath__foreach_addcmul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.970s) 2022-12-01T10:46:58.8845909Z test_pointwise_op_tensors_on_different_devices__foreach_addcdiv_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8846332Z test_pointwise_op_tensors_on_different_devices__foreach_addcdiv_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8846754Z test_pointwise_op_tensors_on_different_devices__foreach_addcmul_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8847353Z test_pointwise_op_tensors_on_different_devices__foreach_addcmul_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8847706Z test_reduce_fastpath__foreach_norm_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.502s) 2022-12-01T10:46:58.8848039Z test_reduce_fastpath__foreach_norm_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.8848445Z test_reduce_fastpath__foreach_norm_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8848772Z test_reduce_fastpath__foreach_norm_cpu_float16 (__main__.TestForeachCPU) ... ok (0.027s) 2022-12-01T10:46:58.8849081Z test_reduce_fastpath__foreach_norm_cpu_float32 (__main__.TestForeachCPU) ... ok (0.027s) 2022-12-01T10:46:58.8849405Z test_reduce_fastpath__foreach_norm_cpu_float64 (__main__.TestForeachCPU) ... ok (0.027s) 2022-12-01T10:46:58.8849723Z test_reduce_slowpath__foreach_norm_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.052s) 2022-12-01T10:46:58.8850047Z test_reduce_slowpath__foreach_norm_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.043s) 2022-12-01T10:46:58.8850365Z test_reduce_slowpath__foreach_norm_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.041s) 2022-12-01T10:46:58.8850689Z test_reduce_slowpath__foreach_norm_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8851010Z test_reduce_slowpath__foreach_norm_cpu_float32 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8851312Z test_reduce_slowpath__foreach_norm_cpu_float64 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.8851629Z test_unary_fastpath__foreach_abs_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.494s) 2022-12-01T10:46:58.8851957Z test_unary_fastpath__foreach_abs_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.384s) 2022-12-01T10:46:58.8852280Z test_unary_fastpath__foreach_abs_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.385s) 2022-12-01T10:46:58.8852584Z test_unary_fastpath__foreach_abs_cpu_float16 (__main__.TestForeachCPU) ... ok (0.448s) 2022-12-01T10:46:58.8852901Z test_unary_fastpath__foreach_abs_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8853212Z test_unary_fastpath__foreach_abs_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8853512Z test_unary_fastpath__foreach_abs_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8853830Z test_unary_fastpath__foreach_abs_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8854138Z test_unary_fastpath__foreach_abs_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8854446Z test_unary_fastpath__foreach_abs_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8854808Z test_unary_fastpath__foreach_abs_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8855129Z test_unary_fastpath__foreach_acos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8855464Z test_unary_fastpath__foreach_acos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8855771Z test_unary_fastpath__foreach_acos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8856087Z test_unary_fastpath__foreach_acos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8856448Z test_unary_fastpath__foreach_asin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8856775Z test_unary_fastpath__foreach_asin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8857082Z test_unary_fastpath__foreach_asin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8857395Z test_unary_fastpath__foreach_asin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8857716Z test_unary_fastpath__foreach_atan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8858044Z test_unary_fastpath__foreach_atan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8858352Z test_unary_fastpath__foreach_atan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8858666Z test_unary_fastpath__foreach_atan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8858985Z test_unary_fastpath__foreach_ceil_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8859295Z test_unary_fastpath__foreach_ceil_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8859613Z test_unary_fastpath__foreach_ceil_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8859929Z test_unary_fastpath__foreach_ceil_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8860244Z test_unary_fastpath__foreach_ceil_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8860542Z test_unary_fastpath__foreach_ceil_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8860854Z test_unary_fastpath__foreach_ceil_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8861165Z test_unary_fastpath__foreach_ceil_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8861468Z test_unary_fastpath__foreach_cos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8861791Z test_unary_fastpath__foreach_cos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8862114Z test_unary_fastpath__foreach_cos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8862431Z test_unary_fastpath__foreach_cos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8862741Z test_unary_fastpath__foreach_cosh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8863069Z test_unary_fastpath__foreach_cosh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8863391Z test_unary_fastpath__foreach_cosh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8863695Z test_unary_fastpath__foreach_cosh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8864010Z test_unary_fastpath__foreach_erf_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8864322Z test_unary_fastpath__foreach_erf_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8864639Z test_unary_fastpath__foreach_erf_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8864945Z test_unary_fastpath__foreach_erfc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8865262Z test_unary_fastpath__foreach_erfc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8865611Z test_unary_fastpath__foreach_erfc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8865932Z test_unary_fastpath__foreach_exp_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8866243Z test_unary_fastpath__foreach_exp_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8866564Z test_unary_fastpath__foreach_exp_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8866883Z test_unary_fastpath__foreach_exp_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8867191Z test_unary_fastpath__foreach_expm1_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8867542Z test_unary_fastpath__foreach_expm1_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8867862Z test_unary_fastpath__foreach_expm1_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8868179Z test_unary_fastpath__foreach_floor_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8868483Z test_unary_fastpath__foreach_floor_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8868801Z test_unary_fastpath__foreach_floor_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8869111Z test_unary_fastpath__foreach_floor_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8869414Z test_unary_fastpath__foreach_floor_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8869727Z test_unary_fastpath__foreach_floor_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8870046Z test_unary_fastpath__foreach_floor_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8870359Z test_unary_fastpath__foreach_floor_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8870660Z test_unary_fastpath__foreach_frac_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8870981Z test_unary_fastpath__foreach_frac_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8871299Z test_unary_fastpath__foreach_frac_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8871628Z test_unary_fastpath__foreach_log10_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8871937Z test_unary_fastpath__foreach_log10_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8872259Z test_unary_fastpath__foreach_log10_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8872575Z test_unary_fastpath__foreach_log10_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8872882Z test_unary_fastpath__foreach_log1p_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8873203Z test_unary_fastpath__foreach_log1p_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8873517Z test_unary_fastpath__foreach_log1p_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8873837Z test_unary_fastpath__foreach_log2_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8874145Z test_unary_fastpath__foreach_log2_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8874464Z test_unary_fastpath__foreach_log2_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8874778Z test_unary_fastpath__foreach_log2_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8875083Z test_unary_fastpath__foreach_log_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8875408Z test_unary_fastpath__foreach_log_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8875723Z test_unary_fastpath__foreach_log_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8876041Z test_unary_fastpath__foreach_log_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8876346Z test_unary_fastpath__foreach_neg_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8876702Z test_unary_fastpath__foreach_neg_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8877020Z test_unary_fastpath__foreach_neg_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8877321Z test_unary_fastpath__foreach_neg_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8877634Z test_unary_fastpath__foreach_neg_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8877945Z test_unary_fastpath__foreach_neg_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8878285Z test_unary_fastpath__foreach_neg_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8878584Z test_unary_fastpath__foreach_neg_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8878892Z test_unary_fastpath__foreach_neg_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8879220Z test_unary_fastpath__foreach_reciprocal_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8879559Z test_unary_fastpath__foreach_reciprocal_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8879876Z test_unary_fastpath__foreach_reciprocal_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8880201Z test_unary_fastpath__foreach_round_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8880523Z test_unary_fastpath__foreach_round_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8880828Z test_unary_fastpath__foreach_round_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8881144Z test_unary_fastpath__foreach_round_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8881461Z test_unary_fastpath__foreach_round_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8881773Z test_unary_fastpath__foreach_round_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8882074Z test_unary_fastpath__foreach_round_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8882384Z test_unary_fastpath__foreach_round_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8882704Z test_unary_fastpath__foreach_sigmoid_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8883018Z test_unary_fastpath__foreach_sigmoid_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8883344Z test_unary_fastpath__foreach_sigmoid_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8883672Z test_unary_fastpath__foreach_sin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8883994Z test_unary_fastpath__foreach_sin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8884299Z test_unary_fastpath__foreach_sin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8884615Z test_unary_fastpath__foreach_sin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8884937Z test_unary_fastpath__foreach_sinh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8885258Z test_unary_fastpath__foreach_sinh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8885564Z test_unary_fastpath__foreach_sinh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8885881Z test_unary_fastpath__foreach_sinh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8886200Z test_unary_fastpath__foreach_sqrt_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8886512Z test_unary_fastpath__foreach_sqrt_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8886831Z test_unary_fastpath__foreach_sqrt_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8887276Z test_unary_fastpath__foreach_sqrt_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8887639Z test_unary_fastpath__foreach_sqrt_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8887947Z test_unary_fastpath__foreach_tan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8888356Z test_unary_fastpath__foreach_tan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8888677Z test_unary_fastpath__foreach_tan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8888981Z test_unary_fastpath__foreach_tan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8889348Z test_unary_fastpath__foreach_tanh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8889676Z test_unary_fastpath__foreach_tanh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.8889995Z test_unary_fastpath__foreach_tanh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8890299Z test_unary_fastpath__foreach_tanh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8890613Z test_unary_fastpath__foreach_trunc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s) 2022-12-01T10:46:58.8890935Z test_unary_fastpath__foreach_trunc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8891242Z test_unary_fastpath__foreach_trunc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s) 2022-12-01T10:46:58.8891555Z test_unary_fastpath__foreach_trunc_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8891869Z test_unary_fastpath__foreach_trunc_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8892184Z test_unary_fastpath__foreach_trunc_cpu_int64 (__main__.TestForeachCPU) ... ok (0.005s) 2022-12-01T10:46:58.8892487Z test_unary_fastpath__foreach_trunc_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8892799Z test_unary_fastpath__foreach_trunc_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s) 2022-12-01T10:46:58.8893162Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8893575Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8893974Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8894379Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8894783Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8895185Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8895568Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8895963Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8896354Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8896744Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8897121Z test_unary_op_tensors_on_different_devices__foreach_abs_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8897518Z test_unary_op_tensors_on_different_devices__foreach_acos_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8897924Z test_unary_op_tensors_on_different_devices__foreach_acos_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8898363Z test_unary_op_tensors_on_different_devices__foreach_acos_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8898750Z test_unary_op_tensors_on_different_devices__foreach_acos_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8899158Z test_unary_op_tensors_on_different_devices__foreach_asin_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8899595Z test_unary_op_tensors_on_different_devices__foreach_asin_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8899997Z test_unary_op_tensors_on_different_devices__foreach_asin_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8900386Z test_unary_op_tensors_on_different_devices__foreach_asin_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8900790Z test_unary_op_tensors_on_different_devices__foreach_atan_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8901203Z test_unary_op_tensors_on_different_devices__foreach_atan_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8901607Z test_unary_op_tensors_on_different_devices__foreach_atan_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8901990Z test_unary_op_tensors_on_different_devices__foreach_atan_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8902399Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8902805Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8903206Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8903587Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8903982Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8904382Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8904784Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8905166Z test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8905570Z test_unary_op_tensors_on_different_devices__foreach_cos_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8905982Z test_unary_op_tensors_on_different_devices__foreach_cos_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8906386Z test_unary_op_tensors_on_different_devices__foreach_cos_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8906773Z test_unary_op_tensors_on_different_devices__foreach_cos_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8907180Z test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8907587Z test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8907989Z test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8908415Z test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8908793Z test_unary_op_tensors_on_different_devices__foreach_erf_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8909190Z test_unary_op_tensors_on_different_devices__foreach_erf_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8910975Z test_unary_op_tensors_on_different_devices__foreach_erf_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8911659Z test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8912239Z test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8912831Z test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8913459Z test_unary_op_tensors_on_different_devices__foreach_exp_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8914134Z test_unary_op_tensors_on_different_devices__foreach_exp_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8914782Z test_unary_op_tensors_on_different_devices__foreach_exp_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8915434Z test_unary_op_tensors_on_different_devices__foreach_exp_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8916118Z test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8916776Z test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8917424Z test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8918104Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8918794Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8919484Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8920221Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8920933Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8921671Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8922349Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8923024Z test_unary_op_tensors_on_different_devices__foreach_floor_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8923733Z test_unary_op_tensors_on_different_devices__foreach_frac_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8924482Z test_unary_op_tensors_on_different_devices__foreach_frac_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8925226Z test_unary_op_tensors_on_different_devices__foreach_frac_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8926022Z test_unary_op_tensors_on_different_devices__foreach_log10_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8926752Z test_unary_op_tensors_on_different_devices__foreach_log10_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8927708Z test_unary_op_tensors_on_different_devices__foreach_log10_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8928503Z test_unary_op_tensors_on_different_devices__foreach_log10_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8929398Z test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8930124Z test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8930851Z test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8931575Z test_unary_op_tensors_on_different_devices__foreach_log2_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8932294Z test_unary_op_tensors_on_different_devices__foreach_log2_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8932994Z test_unary_op_tensors_on_different_devices__foreach_log2_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8933712Z test_unary_op_tensors_on_different_devices__foreach_log2_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8934412Z test_unary_op_tensors_on_different_devices__foreach_log_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8934912Z test_unary_op_tensors_on_different_devices__foreach_log_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8935343Z test_unary_op_tensors_on_different_devices__foreach_log_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8935770Z test_unary_op_tensors_on_different_devices__foreach_log_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8936366Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8937060Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8937770Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8938365Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8938777Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8939179Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8939562Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8939963Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8940364Z test_unary_op_tensors_on_different_devices__foreach_neg_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8940768Z test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8941293Z test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8941707Z test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8942119Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8942522Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8943041Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8943505Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8943911Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8944305Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8944685Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8945085Z test_unary_op_tensors_on_different_devices__foreach_round_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8945497Z test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8945906Z test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8946314Z test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8946703Z test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8947105Z test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8947503Z test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8947899Z test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8948287Z test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8948694Z test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8949094Z test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8949490Z test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8949932Z test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8950558Z test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8951163Z test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8951822Z test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8952467Z test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8952865Z test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8953265Z test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8953665Z test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8954089Z test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8954496Z test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8954904Z test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8955305Z test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8955692Z test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8956091Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8956496Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8956892Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8957278Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8957668Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8958059Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8958452Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8958835Z test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:46:58.8959193Z test_unary_slowpath__foreach_abs_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.8959513Z test_unary_slowpath__foreach_abs_cpu_bool (__main__.TestForeachCPU) ... ok (0.037s) 2022-12-01T10:46:58.8959840Z test_unary_slowpath__foreach_abs_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.022s) 2022-12-01T10:46:58.8960151Z test_unary_slowpath__foreach_abs_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.022s) 2022-12-01T10:46:58.8960472Z test_unary_slowpath__foreach_abs_cpu_float16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8960787Z test_unary_slowpath__foreach_abs_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8961090Z test_unary_slowpath__foreach_abs_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8961405Z test_unary_slowpath__foreach_abs_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8961833Z test_unary_slowpath__foreach_abs_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8962273Z test_unary_slowpath__foreach_abs_cpu_int64 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8962799Z test_unary_slowpath__foreach_abs_cpu_int8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8963336Z test_unary_slowpath__foreach_abs_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8963814Z test_unary_slowpath__foreach_acos_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8964396Z test_unary_slowpath__foreach_acos_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8964814Z test_unary_slowpath__foreach_acos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.019s) 2022-12-01T10:46:58.8965141Z test_unary_slowpath__foreach_acos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.019s) 2022-12-01T10:46:58.8965526Z test_unary_slowpath__foreach_acos_cpu_float16 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.8965833Z test_unary_slowpath__foreach_acos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8966140Z test_unary_slowpath__foreach_acos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8966455Z test_unary_slowpath__foreach_acos_cpu_int16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8966755Z test_unary_slowpath__foreach_acos_cpu_int32 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8967224Z test_unary_slowpath__foreach_acos_cpu_int64 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8967544Z test_unary_slowpath__foreach_acos_cpu_int8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8967854Z test_unary_slowpath__foreach_acos_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8968220Z test_unary_slowpath__foreach_asin_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8968544Z test_unary_slowpath__foreach_asin_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8968862Z test_unary_slowpath__foreach_asin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s) 2022-12-01T10:46:58.8969186Z test_unary_slowpath__foreach_asin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s) 2022-12-01T10:46:58.8969497Z test_unary_slowpath__foreach_asin_cpu_float16 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.8969811Z test_unary_slowpath__foreach_asin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.8970123Z test_unary_slowpath__foreach_asin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8970427Z test_unary_slowpath__foreach_asin_cpu_int16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8970738Z test_unary_slowpath__foreach_asin_cpu_int32 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8971048Z test_unary_slowpath__foreach_asin_cpu_int64 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8971359Z test_unary_slowpath__foreach_asin_cpu_int8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8971657Z test_unary_slowpath__foreach_asin_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.8971972Z test_unary_slowpath__foreach_atan_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8972292Z test_unary_slowpath__foreach_atan_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8972597Z test_unary_slowpath__foreach_atan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.019s) 2022-12-01T10:46:58.8972923Z test_unary_slowpath__foreach_atan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8973242Z test_unary_slowpath__foreach_atan_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8973555Z test_unary_slowpath__foreach_atan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8973857Z test_unary_slowpath__foreach_atan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8974165Z test_unary_slowpath__foreach_atan_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8974478Z test_unary_slowpath__foreach_atan_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8974775Z test_unary_slowpath__foreach_atan_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8975156Z test_unary_slowpath__foreach_atan_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8975463Z test_unary_slowpath__foreach_atan_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8975777Z test_unary_slowpath__foreach_ceil_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8976081Z test_unary_slowpath__foreach_ceil_cpu_bool (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.8976398Z test_unary_slowpath__foreach_ceil_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.8976765Z test_unary_slowpath__foreach_ceil_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8977088Z test_unary_slowpath__foreach_ceil_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8977390Z test_unary_slowpath__foreach_ceil_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8977700Z test_unary_slowpath__foreach_ceil_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8978008Z test_unary_slowpath__foreach_ceil_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8978305Z test_unary_slowpath__foreach_ceil_cpu_int32 (__main__.TestForeachCPU) ... ok (0.008s) 2022-12-01T10:46:58.8978612Z test_unary_slowpath__foreach_ceil_cpu_int64 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8978920Z test_unary_slowpath__foreach_ceil_cpu_int8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8979227Z test_unary_slowpath__foreach_ceil_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.8979529Z test_unary_slowpath__foreach_cos_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8979841Z test_unary_slowpath__foreach_cos_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8980157Z test_unary_slowpath__foreach_cos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s) 2022-12-01T10:46:58.8980469Z test_unary_slowpath__foreach_cos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s) 2022-12-01T10:46:58.8980786Z test_unary_slowpath__foreach_cos_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8981099Z test_unary_slowpath__foreach_cos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8981413Z test_unary_slowpath__foreach_cos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8981714Z test_unary_slowpath__foreach_cos_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8982024Z test_unary_slowpath__foreach_cos_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8982333Z test_unary_slowpath__foreach_cos_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8982627Z test_unary_slowpath__foreach_cos_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8982936Z test_unary_slowpath__foreach_cos_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8983252Z test_unary_slowpath__foreach_cosh_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8983566Z test_unary_slowpath__foreach_cosh_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8983874Z test_unary_slowpath__foreach_cosh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.8984333Z test_unary_slowpath__foreach_cosh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.8984798Z test_unary_slowpath__foreach_cosh_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8985345Z test_unary_slowpath__foreach_cosh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8985880Z test_unary_slowpath__foreach_cosh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.8986424Z test_unary_slowpath__foreach_cosh_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8987008Z test_unary_slowpath__foreach_cosh_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8987541Z test_unary_slowpath__foreach_cosh_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8988078Z test_unary_slowpath__foreach_cosh_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8988649Z test_unary_slowpath__foreach_cosh_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8989229Z test_unary_slowpath__foreach_erf_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8989788Z test_unary_slowpath__foreach_erf_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8990428Z test_unary_slowpath__foreach_erf_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.8991022Z test_unary_slowpath__foreach_erf_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.8991595Z test_unary_slowpath__foreach_erf_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.8992181Z test_unary_slowpath__foreach_erf_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8992752Z test_unary_slowpath__foreach_erf_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8993326Z test_unary_slowpath__foreach_erf_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8993881Z test_unary_slowpath__foreach_erf_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8994449Z test_unary_slowpath__foreach_erf_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8995015Z test_unary_slowpath__foreach_erf_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8995576Z test_unary_slowpath__foreach_erf_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8996156Z test_unary_slowpath__foreach_erfc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8996733Z test_unary_slowpath__foreach_erfc_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.8997323Z test_unary_slowpath__foreach_erfc_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.8997905Z test_unary_slowpath__foreach_erfc_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.8998491Z test_unary_slowpath__foreach_erfc_cpu_float16 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.8999072Z test_unary_slowpath__foreach_erfc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.8999642Z test_unary_slowpath__foreach_erfc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9000209Z test_unary_slowpath__foreach_erfc_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9000782Z test_unary_slowpath__foreach_erfc_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9001344Z test_unary_slowpath__foreach_erfc_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9001905Z test_unary_slowpath__foreach_erfc_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9002474Z test_unary_slowpath__foreach_erfc_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9003047Z test_unary_slowpath__foreach_exp_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9003620Z test_unary_slowpath__foreach_exp_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9004186Z test_unary_slowpath__foreach_exp_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.9004784Z test_unary_slowpath__foreach_exp_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.9005374Z test_unary_slowpath__foreach_exp_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9005942Z test_unary_slowpath__foreach_exp_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9006520Z test_unary_slowpath__foreach_exp_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9007261Z test_unary_slowpath__foreach_exp_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9007795Z test_unary_slowpath__foreach_exp_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9008416Z test_unary_slowpath__foreach_exp_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9008993Z test_unary_slowpath__foreach_exp_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9009560Z test_unary_slowpath__foreach_exp_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9010131Z test_unary_slowpath__foreach_expm1_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9010816Z test_unary_slowpath__foreach_expm1_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9011407Z test_unary_slowpath__foreach_expm1_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9012004Z test_unary_slowpath__foreach_expm1_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9012584Z test_unary_slowpath__foreach_expm1_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9013170Z test_unary_slowpath__foreach_expm1_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9013747Z test_unary_slowpath__foreach_expm1_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9014319Z test_unary_slowpath__foreach_expm1_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9014881Z test_unary_slowpath__foreach_expm1_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9015455Z test_unary_slowpath__foreach_expm1_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9016022Z test_unary_slowpath__foreach_expm1_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9016581Z test_unary_slowpath__foreach_expm1_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9017167Z test_unary_slowpath__foreach_floor_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9017753Z test_unary_slowpath__foreach_floor_cpu_bool (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9018339Z test_unary_slowpath__foreach_floor_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.9018930Z test_unary_slowpath__foreach_floor_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.9019522Z test_unary_slowpath__foreach_floor_cpu_float16 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.9020101Z test_unary_slowpath__foreach_floor_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9020670Z test_unary_slowpath__foreach_floor_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9021242Z test_unary_slowpath__foreach_floor_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9021817Z test_unary_slowpath__foreach_floor_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9022393Z test_unary_slowpath__foreach_floor_cpu_int64 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9022949Z test_unary_slowpath__foreach_floor_cpu_int8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9023519Z test_unary_slowpath__foreach_floor_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9024098Z test_unary_slowpath__foreach_frac_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9024664Z test_unary_slowpath__foreach_frac_cpu_bool (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9025253Z test_unary_slowpath__foreach_frac_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9025851Z test_unary_slowpath__foreach_frac_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9026437Z test_unary_slowpath__foreach_frac_cpu_float16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9027061Z test_unary_slowpath__foreach_frac_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9027637Z test_unary_slowpath__foreach_frac_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9028199Z test_unary_slowpath__foreach_frac_cpu_int16 (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9028733Z test_unary_slowpath__foreach_frac_cpu_int32 (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9029292Z test_unary_slowpath__foreach_frac_cpu_int64 (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9029857Z test_unary_slowpath__foreach_frac_cpu_int8 (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9030487Z test_unary_slowpath__foreach_frac_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9031065Z test_unary_slowpath__foreach_log10_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9031641Z test_unary_slowpath__foreach_log10_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9032237Z test_unary_slowpath__foreach_log10_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9032838Z test_unary_slowpath__foreach_log10_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9033417Z test_unary_slowpath__foreach_log10_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9034003Z test_unary_slowpath__foreach_log10_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.9034587Z test_unary_slowpath__foreach_log10_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9035147Z test_unary_slowpath__foreach_log10_cpu_int16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9035727Z test_unary_slowpath__foreach_log10_cpu_int32 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9036292Z test_unary_slowpath__foreach_log10_cpu_int64 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9036872Z test_unary_slowpath__foreach_log10_cpu_int8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9037438Z test_unary_slowpath__foreach_log10_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9038022Z test_unary_slowpath__foreach_log1p_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9038610Z test_unary_slowpath__foreach_log1p_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9039196Z test_unary_slowpath__foreach_log1p_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9039797Z test_unary_slowpath__foreach_log1p_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9040394Z test_unary_slowpath__foreach_log1p_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9040980Z test_unary_slowpath__foreach_log1p_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.9041549Z test_unary_slowpath__foreach_log1p_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9042131Z test_unary_slowpath__foreach_log1p_cpu_int16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9042697Z test_unary_slowpath__foreach_log1p_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9043273Z test_unary_slowpath__foreach_log1p_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9043831Z test_unary_slowpath__foreach_log1p_cpu_int8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9044403Z test_unary_slowpath__foreach_log1p_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9044986Z test_unary_slowpath__foreach_log2_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9045554Z test_unary_slowpath__foreach_log2_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9046141Z test_unary_slowpath__foreach_log2_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9046730Z test_unary_slowpath__foreach_log2_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9047482Z test_unary_slowpath__foreach_log2_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9048046Z test_unary_slowpath__foreach_log2_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.9048691Z test_unary_slowpath__foreach_log2_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9049268Z test_unary_slowpath__foreach_log2_cpu_int16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9049824Z test_unary_slowpath__foreach_log2_cpu_int32 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9050460Z test_unary_slowpath__foreach_log2_cpu_int64 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9051028Z test_unary_slowpath__foreach_log2_cpu_int8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9051590Z test_unary_slowpath__foreach_log2_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9052155Z test_unary_slowpath__foreach_log_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9052732Z test_unary_slowpath__foreach_log_cpu_bool (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9053316Z test_unary_slowpath__foreach_log_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9053905Z test_unary_slowpath__foreach_log_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9054471Z test_unary_slowpath__foreach_log_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9055044Z test_unary_slowpath__foreach_log_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s) 2022-12-01T10:46:58.9055619Z test_unary_slowpath__foreach_log_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9056180Z test_unary_slowpath__foreach_log_cpu_int16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9056753Z test_unary_slowpath__foreach_log_cpu_int32 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9057418Z test_unary_slowpath__foreach_log_cpu_int64 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9074309Z test_unary_slowpath__foreach_log_cpu_int8 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9074958Z test_unary_slowpath__foreach_log_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9075339Z test_unary_slowpath__foreach_neg_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9075661Z test_unary_slowpath__foreach_neg_cpu_bool (__main__.TestForeachCPU) ... ok (0.032s) 2022-12-01T10:46:58.9075973Z test_unary_slowpath__foreach_neg_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.9076307Z test_unary_slowpath__foreach_neg_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.9076628Z test_unary_slowpath__foreach_neg_cpu_float16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9076951Z test_unary_slowpath__foreach_neg_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9077259Z test_unary_slowpath__foreach_neg_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9077573Z test_unary_slowpath__foreach_neg_cpu_int16 (__main__.TestForeachCPU) ... ok (0.008s) 2022-12-01T10:46:58.9077886Z test_unary_slowpath__foreach_neg_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9078187Z test_unary_slowpath__foreach_neg_cpu_int64 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9078496Z test_unary_slowpath__foreach_neg_cpu_int8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9078805Z test_unary_slowpath__foreach_neg_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9079134Z test_unary_slowpath__foreach_reciprocal_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9079459Z test_unary_slowpath__foreach_reciprocal_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9079800Z test_unary_slowpath__foreach_reciprocal_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.9080254Z test_unary_slowpath__foreach_reciprocal_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.9080586Z test_unary_slowpath__foreach_reciprocal_cpu_float16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9080920Z test_unary_slowpath__foreach_reciprocal_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9081251Z test_unary_slowpath__foreach_reciprocal_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9081586Z test_unary_slowpath__foreach_reciprocal_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9081947Z test_unary_slowpath__foreach_reciprocal_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9082274Z test_unary_slowpath__foreach_reciprocal_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9082605Z test_unary_slowpath__foreach_reciprocal_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9082935Z test_unary_slowpath__foreach_reciprocal_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9083245Z test_unary_slowpath__foreach_round_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9083561Z test_unary_slowpath__foreach_round_cpu_bool (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9083883Z test_unary_slowpath__foreach_round_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9084193Z test_unary_slowpath__foreach_round_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s) 2022-12-01T10:46:58.9084524Z test_unary_slowpath__foreach_round_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9084847Z test_unary_slowpath__foreach_round_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9085161Z test_unary_slowpath__foreach_round_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9085464Z test_unary_slowpath__foreach_round_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9085782Z test_unary_slowpath__foreach_round_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9086095Z test_unary_slowpath__foreach_round_cpu_int64 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9086397Z test_unary_slowpath__foreach_round_cpu_int8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9086711Z test_unary_slowpath__foreach_round_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9087192Z test_unary_slowpath__foreach_sigmoid_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9087529Z test_unary_slowpath__foreach_sigmoid_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9087848Z test_unary_slowpath__foreach_sigmoid_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.9088265Z test_unary_slowpath__foreach_sigmoid_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s) 2022-12-01T10:46:58.9088605Z test_unary_slowpath__foreach_sigmoid_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9088932Z test_unary_slowpath__foreach_sigmoid_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9089242Z test_unary_slowpath__foreach_sigmoid_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9089568Z test_unary_slowpath__foreach_sigmoid_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9089892Z test_unary_slowpath__foreach_sigmoid_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9090195Z test_unary_slowpath__foreach_sigmoid_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9090517Z test_unary_slowpath__foreach_sigmoid_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9090837Z test_unary_slowpath__foreach_sigmoid_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9091213Z test_unary_slowpath__foreach_sin_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9091515Z test_unary_slowpath__foreach_sin_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9091836Z test_unary_slowpath__foreach_sin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s) 2022-12-01T10:46:58.9092157Z test_unary_slowpath__foreach_sin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9092464Z test_unary_slowpath__foreach_sin_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9092784Z test_unary_slowpath__foreach_sin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9093156Z test_unary_slowpath__foreach_sin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9093469Z test_unary_slowpath__foreach_sin_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9093763Z test_unary_slowpath__foreach_sin_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9094076Z test_unary_slowpath__foreach_sin_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9094389Z test_unary_slowpath__foreach_sin_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9094689Z test_unary_slowpath__foreach_sin_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9095007Z test_unary_slowpath__foreach_sinh_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9095325Z test_unary_slowpath__foreach_sinh_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9095647Z test_unary_slowpath__foreach_sinh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9095963Z test_unary_slowpath__foreach_sinh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.9096314Z test_unary_slowpath__foreach_sinh_cpu_float16 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.9096798Z test_unary_slowpath__foreach_sinh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9097292Z test_unary_slowpath__foreach_sinh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9097766Z test_unary_slowpath__foreach_sinh_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9098325Z test_unary_slowpath__foreach_sinh_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9098832Z test_unary_slowpath__foreach_sinh_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9099354Z test_unary_slowpath__foreach_sinh_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9099934Z test_unary_slowpath__foreach_sinh_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9100512Z test_unary_slowpath__foreach_sqrt_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9101095Z test_unary_slowpath__foreach_sqrt_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9101650Z test_unary_slowpath__foreach_sqrt_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.9102245Z test_unary_slowpath__foreach_sqrt_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.016s) 2022-12-01T10:46:58.9102837Z test_unary_slowpath__foreach_sqrt_cpu_float16 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.9103409Z test_unary_slowpath__foreach_sqrt_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9104007Z test_unary_slowpath__foreach_sqrt_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9104593Z test_unary_slowpath__foreach_sqrt_cpu_int16 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9105168Z test_unary_slowpath__foreach_sqrt_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9105724Z test_unary_slowpath__foreach_sqrt_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9106304Z test_unary_slowpath__foreach_sqrt_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9106969Z test_unary_slowpath__foreach_sqrt_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9107561Z test_unary_slowpath__foreach_tan_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9108133Z test_unary_slowpath__foreach_tan_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9108725Z test_unary_slowpath__foreach_tan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s) 2022-12-01T10:46:58.9109319Z test_unary_slowpath__foreach_tan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9109887Z test_unary_slowpath__foreach_tan_cpu_float16 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.9110551Z test_unary_slowpath__foreach_tan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9111125Z test_unary_slowpath__foreach_tan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9111703Z test_unary_slowpath__foreach_tan_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9112273Z test_unary_slowpath__foreach_tan_cpu_int32 (__main__.TestForeachCPU) ... ok (0.024s) 2022-12-01T10:46:58.9112856Z test_unary_slowpath__foreach_tan_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9113433Z test_unary_slowpath__foreach_tan_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9113976Z test_unary_slowpath__foreach_tan_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9114560Z test_unary_slowpath__foreach_tanh_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9115159Z test_unary_slowpath__foreach_tanh_cpu_bool (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9115764Z test_unary_slowpath__foreach_tanh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s) 2022-12-01T10:46:58.9116347Z test_unary_slowpath__foreach_tanh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s) 2022-12-01T10:46:58.9116955Z test_unary_slowpath__foreach_tanh_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9117529Z test_unary_slowpath__foreach_tanh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9118114Z test_unary_slowpath__foreach_tanh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9118688Z test_unary_slowpath__foreach_tanh_cpu_int16 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9119267Z test_unary_slowpath__foreach_tanh_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9119837Z test_unary_slowpath__foreach_tanh_cpu_int64 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9120415Z test_unary_slowpath__foreach_tanh_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9120989Z test_unary_slowpath__foreach_tanh_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s) 2022-12-01T10:46:58.9121558Z test_unary_slowpath__foreach_trunc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.012s) 2022-12-01T10:46:58.9122144Z test_unary_slowpath__foreach_trunc_cpu_bool (__main__.TestForeachCPU) ... ok (0.033s) 2022-12-01T10:46:58.9122728Z test_unary_slowpath__foreach_trunc_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.035s) 2022-12-01T10:46:58.9123328Z test_unary_slowpath__foreach_trunc_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9123925Z test_unary_slowpath__foreach_trunc_cpu_float16 (__main__.TestForeachCPU) ... ok (0.034s) 2022-12-01T10:46:58.9124517Z test_unary_slowpath__foreach_trunc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9125098Z test_unary_slowpath__foreach_trunc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s) 2022-12-01T10:46:58.9125694Z test_unary_slowpath__foreach_trunc_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9126267Z test_unary_slowpath__foreach_trunc_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9126845Z test_unary_slowpath__foreach_trunc_cpu_int64 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9127632Z test_unary_slowpath__foreach_trunc_cpu_int8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9128302Z test_unary_slowpath__foreach_trunc_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s) 2022-12-01T10:46:58.9128610Z 2022-12-01T10:46:58.9129073Z ---------------------------------------------------------------------- 2022-12-01T10:46:58.9129486Z Ran 1182 tests in 84.321s 2022-12-01T10:46:58.9129691Z 2022-12-01T10:46:58.9129826Z OK (skipped=280) 2022-12-01T10:46:58.9130022Z 2022-12-01T10:46:58.9130173Z Generating XML reports... 2022-12-01T10:46:58.9131012Z Generated XML report: test-reports/python-unittest/test_foreach/TEST-TestForeachCPU-20221201104533.xml 2022-12-01T10:46:58.9131426Z 2022-12-01T10:46:58.9131937Z ##[endgroup] 2022-12-01T10:46:58.9132626Z FINISHED PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_1cqtw_1j) 2022-12-01T10:46:58.9133032Z 2022-12-01T10:46:58.9133311Z Running test_linalg ... [2022-12-01 10:46:58.855662] 2022-12-01T10:46:58.9134142Z Executing ['/opt/conda/bin/python', '-bb', 'test_linalg.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:46:58.855971] 2022-12-01T10:49:09.3400895Z 2022-12-01T10:49:09.3401864Z Expand the folded group to see the log file of test_linalg 2022-12-01T10:49:09.3402854Z ##[group]PRINTING LOG FILE of test_linalg (/var/lib/jenkins/workspace/test/test-reports/test_linalg_yp7u3bnv) 2022-12-01T10:49:09.3404161Z Test results will be stored in test-reports/python-unittest/test_linalg 2022-12-01T10:49:09.3404622Z 2022-12-01T10:49:09.3404723Z Running tests... 2022-12-01T10:49:09.3448440Z ---------------------------------------------------------------------- 2022-12-01T10:49:09.3449246Z test_addbmm_cpu_bfloat16 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 60 2022-12-01T10:49:09.3449694Z due to: 2022-12-01T10:49:09.3449975Z Traceback (most recent call last): 2022-12-01T10:49:09.3450495Z File "/opt/conda/lib/python3.7/site-packages/torch/backends/cuda/__init__.py", line 98, in __getattr__ 2022-12-01T10:49:09.3450937Z raise AssertionError("Unknown attribute " + name) 2022-12-01T10:49:09.3451294Z AssertionError: Unknown attribute __self__ 2022-12-01T10:49:09.3451509Z 2022-12-01T10:49:09.3451606Z from user code: 2022-12-01T10:49:09.3451936Z File "test_linalg.py", line 61, in 2022-12-01T10:49:09.3452315Z torch.backends.cuda.matmul.allow_tf32 = False 2022-12-01T10:49:09.3452544Z 2022-12-01T10:49:09.3452709Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3453056Z ========== 2022-12-01T10:49:09.3453505Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tearDown test_linalg.py line 63 2022-12-01T10:49:09.3453849Z due to: 2022-12-01T10:49:09.3454089Z Traceback (most recent call last): 2022-12-01T10:49:09.3454615Z File "/opt/conda/lib/python3.7/site-packages/torch/backends/cuda/__init__.py", line 98, in __getattr__ 2022-12-01T10:49:09.3455056Z raise AssertionError("Unknown attribute " + name) 2022-12-01T10:49:09.3455392Z AssertionError: Unknown attribute __self__ 2022-12-01T10:49:09.3455590Z 2022-12-01T10:49:09.3455692Z from user code: 2022-12-01T10:49:09.3455971Z File "test_linalg.py", line 64, in tearDown 2022-12-01T10:49:09.3456304Z torch.backends.cuda.matmul.allow_tf32 = True 2022-12-01T10:49:09.3456518Z 2022-12-01T10:49:09.3456700Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3457001Z ========== 2022-12-01T10:49:09.3457228Z ok (1.416s) 2022-12-01T10:49:09.3457530Z test_addbmm_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.375s) 2022-12-01T10:49:09.3457932Z test_addbmm_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.381s) 2022-12-01T10:49:09.3458335Z test_addbmm_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.335s) 2022-12-01T10:49:09.3458699Z test_addbmm_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.319s) 2022-12-01T10:49:09.3459315Z test_addmm_activation_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.150s) 2022-12-01T10:49:09.3459737Z test_addmm_activation_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.059s) 2022-12-01T10:49:09.3460152Z test_addmm_activation_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.066s) 2022-12-01T10:49:09.3460588Z test_addmm_baddbmm_overflow_cpu_float16 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.009s) 2022-12-01T10:49:09.3461942Z test_addmm_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.062s) 2022-12-01T10:49:09.3462337Z test_addmm_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.065s) 2022-12-01T10:49:09.3462858Z test_addmm_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.066s) 2022-12-01T10:49:09.3463229Z test_addmm_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.054s) 2022-12-01T10:49:09.3463608Z test_addmm_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.059s) 2022-12-01T10:49:09.3464332Z test_addmm_sizes_cpu_float32 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 5519 2022-12-01T10:49:09.3464763Z due to: 2022-12-01T10:49:09.3465005Z Traceback (most recent call last): 2022-12-01T10:49:09.3465473Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3465842Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3466181Z RuntimeError: mat1 and mat2 shapes cannot be multiplied (0x1 and 0x0) 2022-12-01T10:49:09.3466424Z 2022-12-01T10:49:09.3466616Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3466841Z 2022-12-01T10:49:09.3466972Z Traceback (most recent call last): 2022-12-01T10:49:09.3467364Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3467725Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3468048Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3468259Z 2022-12-01T10:49:09.3468356Z from user code: 2022-12-01T10:49:09.3468642Z File "test_linalg.py", line 5519, in 2022-12-01T10:49:09.3469062Z self.assertRaisesRegex(RuntimeError, f"{n}x{k + 1}.*{k}x{m}", lambda: torch.addmm(M, m1, m2)) 2022-12-01T10:49:09.3469337Z 2022-12-01T10:49:09.3469515Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3469843Z ========== 2022-12-01T10:49:09.3470270Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 5520 2022-12-01T10:49:09.3470634Z due to: 2022-12-01T10:49:09.3470920Z Traceback (most recent call last): 2022-12-01T10:49:09.3471459Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3471921Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3472359Z RuntimeError: mat1 and mat2 shapes cannot be multiplied (0x1 and 0x0) 2022-12-01T10:49:09.3472585Z 2022-12-01T10:49:09.3472708Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3472875Z 2022-12-01T10:49:09.3472970Z Traceback (most recent call last): 2022-12-01T10:49:09.3473248Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3473522Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3473743Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3473886Z 2022-12-01T10:49:09.3473956Z from user code: 2022-12-01T10:49:09.3474161Z File "test_linalg.py", line 5520, in 2022-12-01T10:49:09.3474434Z self.assertRaisesRegex(RuntimeError, f"{n}x{k + 1}.*{k}x{m}", lambda: torch.mm(m1, m2)) 2022-12-01T10:49:09.3474620Z 2022-12-01T10:49:09.3474751Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3474972Z ========== 2022-12-01T10:49:09.3475120Z ok (0.243s) 2022-12-01T10:49:09.3475348Z test_addmm_sizes_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.195s) 2022-12-01T10:49:09.3475632Z test_addmv_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.048s) 2022-12-01T10:49:09.3475915Z test_addmv_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.044s) 2022-12-01T10:49:09.3476266Z test_addmv_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.043s) 2022-12-01T10:49:09.3476542Z test_addmv_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.038s) 2022-12-01T10:49:09.3476812Z test_addmv_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.041s) 2022-12-01T10:49:09.3477105Z test_addmv_rowmajor_colmajor_incx_incy_lda_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.152s) 2022-12-01T10:49:09.3477442Z test_addmv_rowmajor_colmajor_incx_incy_lda_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3477748Z test_addr_bool_cpu_bool (__main__.TestLinalgCPU) ... ok (0.341s) 2022-12-01T10:49:09.3478067Z test_addr_float_and_complex_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.266s) 2022-12-01T10:49:09.3478385Z test_addr_float_and_complex_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3478700Z test_addr_float_and_complex_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.031s) 2022-12-01T10:49:09.3479018Z test_addr_float_and_complex_cpu_float16 (__main__.TestLinalgCPU) ... ok (0.029s) 2022-12-01T10:49:09.3479316Z test_addr_float_and_complex_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3479623Z test_addr_float_and_complex_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3479916Z test_addr_integral_cpu_int16 (__main__.TestLinalgCPU) ... ok (0.040s) 2022-12-01T10:49:09.3480188Z test_addr_integral_cpu_int32 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3480469Z test_addr_integral_cpu_int64 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3480757Z test_addr_integral_cpu_int8 (__main__.TestLinalgCPU) ... ok (0.019s) 2022-12-01T10:49:09.3481038Z test_addr_integral_cpu_uint8 (__main__.TestLinalgCPU) ... ok (0.019s) 2022-12-01T10:49:09.3481305Z test_addr_type_promotion_cpu (__main__.TestLinalgCPU) ... ok (0.387s) 2022-12-01T10:49:09.3481590Z test_baddbmm_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (1.121s) 2022-12-01T10:49:09.3481877Z test_baddbmm_cpu_complex128 (__main__.TestLinalgCPU) ... ok (1.394s) 2022-12-01T10:49:09.3482147Z test_baddbmm_cpu_complex64 (__main__.TestLinalgCPU) ... ok (1.399s) 2022-12-01T10:49:09.3482425Z test_baddbmm_cpu_float32 (__main__.TestLinalgCPU) ... ok (1.097s) 2022-12-01T10:49:09.3482700Z test_baddbmm_cpu_float64 (__main__.TestLinalgCPU) ... ok (1.060s) 2022-12-01T10:49:09.3482992Z test_blas_alpha_beta_empty_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.064s) 2022-12-01T10:49:09.3483290Z test_blas_alpha_beta_empty_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3483608Z test_blas_alpha_beta_empty_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3483918Z test_blas_alpha_beta_empty_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3484204Z test_blas_alpha_beta_empty_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3484503Z test_blas_alpha_beta_empty_cpu_int16 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3484802Z test_blas_alpha_beta_empty_cpu_int32 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3485095Z test_blas_alpha_beta_empty_cpu_int64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3485516Z test_blas_alpha_beta_empty_cpu_int8 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3485810Z test_blas_alpha_beta_empty_cpu_uint8 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3486324Z test_blas_empty_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 4533 2022-12-01T10:49:09.3486618Z due to: 2022-12-01T10:49:09.3486806Z Traceback (most recent call last): 2022-12-01T10:49:09.3487268Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 1596, in LOAD_CLOSURE 2022-12-01T10:49:09.3487570Z self.push(self.closure_cells[inst.argval]) 2022-12-01T10:49:09.3487873Z KeyError: 'device' 2022-12-01T10:49:09.3488078Z 2022-12-01T10:49:09.3488149Z from user code: 2022-12-01T10:49:09.3488386Z File "test_linalg.py", line 4534, in 2022-12-01T10:49:09.3488646Z self.assertEqual((0, 5), fn(torch.mm, (0, 0), (0, 5)).shape) 2022-12-01T10:49:09.3488793Z 2022-12-01T10:49:09.3488924Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3489145Z ========== 2022-12-01T10:49:09.3489457Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT call_torch_fn test_linalg.py line 4521 2022-12-01T10:49:09.3489706Z due to: 2022-12-01T10:49:09.3489894Z Traceback (most recent call last): 2022-12-01T10:49:09.3490213Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 261, in call_function 2022-12-01T10:49:09.3490494Z assert name in tx.symbolic_locals 2022-12-01T10:49:09.3490693Z AssertionError 2022-12-01T10:49:09.3490803Z 2022-12-01T10:49:09.3490873Z from user code: 2022-12-01T10:49:09.3491068Z File "test_linalg.py", line 4523, in call_torch_fn 2022-12-01T10:49:09.3491290Z for shape in args), **kwargs) 2022-12-01T10:49:09.3491410Z 2022-12-01T10:49:09.3491544Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3491748Z ========== 2022-12-01T10:49:09.3491904Z ok (0.129s) 2022-12-01T10:49:09.3492632Z test_blas_mv_large_input_cpu (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [200], which does not match the required output shape [3000]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3493373Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3494018Z :11: UserWarning: An output with one or more elements was resized since it had shape [200], which does not match the required output shape [3000]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3494587Z ok (0.015s) 2022-12-01T10:49:09.3495298Z test_blas_nan_out_cpu_bfloat16 (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [7], which does not match the required output shape [5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3496006Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3496627Z :11: UserWarning: An output with one or more elements was resized since it had shape [7], which does not match the required output shape [5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3497195Z ok (0.058s) 2022-12-01T10:49:09.3497856Z test_blas_nan_out_cpu_complex128 (__main__.TestLinalgCPU) ... :11: UserWarning: An output with one or more elements was resized since it had shape [7], which does not match the required output shape [5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3498500Z ok (0.003s) 2022-12-01T10:49:09.3498732Z test_blas_nan_out_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3499012Z test_blas_nan_out_cpu_float16 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3499298Z test_blas_nan_out_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3499580Z test_blas_nan_out_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3500332Z test_bmm_cpu_bfloat16 (__main__.TestLinalgCPU) ... test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3500960Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3501598Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3502191Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3502816Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3503410Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3504036Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3504622Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3505230Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3505817Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3506440Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3507058Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3507674Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3508250Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3508884Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3509462Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3510085Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3510680Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3511310Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3512168Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3512881Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3513472Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3514095Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3514688Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3515318Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3515908Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3516568Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3517138Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3517807Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3518400Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3518576Z ok (0.801s) 2022-12-01T10:49:09.3519239Z test_bmm_cpu_complex128 (__main__.TestLinalgCPU) ... test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3519877Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3520491Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3521079Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3521709Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3522287Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3522913Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3523503Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3524111Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3524698Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3525351Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3525938Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3526582Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3527326Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3528004Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3528599Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3529216Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3529801Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3530433Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3531024Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3531634Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3532226Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3532850Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3533424Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3534033Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3534677Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3535339Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3535914Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3536092Z ok (0.810s) 2022-12-01T10:49:09.3536759Z test_bmm_cpu_complex64 (__main__.TestLinalgCPU) ... test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3537398Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3538024Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3538616Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3539227Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3539814Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3540435Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3541019Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3541643Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3542228Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3542833Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3543436Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3544094Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3544683Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3545308Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3545889Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3546502Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3547093Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3547720Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3548306Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3548931Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3549523Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3550144Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3550723Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3551342Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3551955Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3552606Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3553193Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3553357Z ok (0.833s) 2022-12-01T10:49:09.3554018Z test_bmm_cpu_float32 (__main__.TestLinalgCPU) ... test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3554651Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3555268Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3555847Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3556473Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3557061Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3557669Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3558258Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3558882Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3559460Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3560072Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3560672Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3561301Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3561874Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3562501Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3563092Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3563713Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3564305Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3564915Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3565494Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3566122Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3566711Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3567476Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3568133Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3568752Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3569374Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3570040Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3570621Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3570800Z ok (0.698s) 2022-12-01T10:49:09.3571462Z test_bmm_cpu_float64 (__main__.TestLinalgCPU) ... test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3572089Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3572693Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3573263Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3573893Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3574485Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3575110Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3575692Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3576306Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3576883Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3577499Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3578110Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3578772Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3579356Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3579967Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3580563Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3581188Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3581773Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3582397Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3582987Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3583601Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3584183Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3584804Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3585388Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3586003Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3586618Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3587265Z test_linalg.py:5761: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3587838Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:49:09.3588016Z ok (0.653s) 2022-12-01T10:49:09.3588691Z test_broadcast_batched_matmul_cpu (__main__.TestLinalgCPU) ... test_linalg.py:6878: UserWarning: An output with one or more elements was resized since it had shape [3, 8], which does not match the required output shape [3, 8, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3589349Z torch.matmul(l, r, out=out) 2022-12-01T10:49:09.3589980Z test_linalg.py:6878: UserWarning: An output with one or more elements was resized since it had shape [3, 1], which does not match the required output shape [3, 1, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3590572Z torch.matmul(l, r, out=out) 2022-12-01T10:49:09.3590738Z ok (0.266s) 2022-12-01T10:49:09.3591221Z test_broadcast_fused_matmul_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_broadcast_fused_matmul test_linalg.py line 6784 2022-12-01T10:49:09.3591544Z due to: 2022-12-01T10:49:09.3591715Z Traceback (most recent call last): 2022-12-01T10:49:09.3592000Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:49:09.3592291Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3592733Z TypeError: randn() received an invalid combination of arguments - got (FakeTensor, FakeTensor, FakeTensor, device=str), but expected one of: 2022-12-01T10:49:09.3593209Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:49:09.3593706Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:49:09.3594161Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:49:09.3594574Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:49:09.3594807Z 2022-12-01T10:49:09.3594811Z 2022-12-01T10:49:09.3594882Z from user code: 2022-12-01T10:49:09.3595114Z File "test_linalg.py", line 6810, in test_broadcast_fused_matmul 2022-12-01T10:49:09.3595393Z t0_small = torch.randn(*t0_dims_small, device=device).float() 2022-12-01T10:49:09.3595548Z 2022-12-01T10:49:09.3595668Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3595888Z ========== 2022-12-01T10:49:09.3596046Z ok (0.019s) 2022-12-01T10:49:09.3596914Z test_chain_matmul_cpu_float64 (__main__.TestLinalgCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1580: UserWarning: torch.chain_matmul is deprecated and will be removed in a future PyTorch release. Use torch.linalg.multi_dot instead, which accepts a list of two or more tensors rather than multiple parameters. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:971.) 2022-12-01T10:49:09.3597619Z return _VF.chain_matmul(matrices) # type: ignore[attr-defined] 2022-12-01T10:49:09.3597839Z ok (0.023s) 2022-12-01T10:49:09.3598068Z test_cholesky_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.193s) 2022-12-01T10:49:09.3598343Z test_cholesky_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3598658Z test_cholesky_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3598941Z test_cholesky_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3599249Z test_cholesky_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.055s) 2022-12-01T10:49:09.3599567Z test_cholesky_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.046s) 2022-12-01T10:49:09.3599888Z test_cholesky_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.046s) 2022-12-01T10:49:09.3600208Z test_cholesky_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.046s) 2022-12-01T10:49:09.3600500Z test_cholesky_ex_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.270s) 2022-12-01T10:49:09.3600789Z test_cholesky_ex_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3601077Z test_cholesky_ex_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3601361Z test_cholesky_ex_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.005s) 2022-12-01T10:49:09.3601642Z test_cholesky_ex_non_pd_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3601946Z test_cholesky_ex_non_pd_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3602247Z test_cholesky_ex_non_pd_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.024s) 2022-12-01T10:49:09.3602527Z test_cholesky_ex_non_pd_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3603048Z test_cholesky_inverse_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 6664 2022-12-01T10:49:09.3603363Z due to: 2022-12-01T10:49:09.3603548Z Traceback (most recent call last): 2022-12-01T10:49:09.3603814Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3604081Z return n.meta["example_value"] 2022-12-01T10:49:09.3604317Z KeyError: 'example_value' 2022-12-01T10:49:09.3604437Z 2022-12-01T10:49:09.3604495Z from user code: 2022-12-01T10:49:09.3604720Z File "test_linalg.py", line 6671, in 2022-12-01T10:49:09.3604981Z actual_inverse = torch.cholesky_inverse(L, upper) 2022-12-01T10:49:09.3605130Z 2022-12-01T10:49:09.3605268Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3605473Z ========== 2022-12-01T10:49:09.3605630Z ok (0.053s) 2022-12-01T10:49:09.3605866Z test_cholesky_inverse_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3606147Z test_cholesky_inverse_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.013s) 2022-12-01T10:49:09.3606440Z test_cholesky_inverse_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.013s) 2022-12-01T10:49:09.3606756Z test_cholesky_inverse_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.036s) 2022-12-01T10:49:09.3607233Z test_cholesky_inverse_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3607583Z test_cholesky_inverse_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3608001Z test_cholesky_inverse_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3608345Z test_cholesky_solve_batched_broadcasting_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.358s) 2022-12-01T10:49:09.3608743Z test_cholesky_solve_batched_broadcasting_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.093s) 2022-12-01T10:49:09.3609086Z test_cholesky_solve_batched_broadcasting_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.016s) 2022-12-01T10:49:09.3609425Z test_cholesky_solve_batched_broadcasting_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3610003Z test_cholesky_solve_batched_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 2506 2022-12-01T10:49:09.3610331Z due to: 2022-12-01T10:49:09.3610561Z Traceback (most recent call last): 2022-12-01T10:49:09.3610909Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3611166Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3613113Z NotImplementedError: Could not run 'aten::cholesky' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::cholesky' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:49:09.3614280Z 2022-12-01T10:49:09.3614436Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:49:09.3614870Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:49:09.3615320Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:49:09.3615765Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:49:09.3616221Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:49:09.3616627Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:49:09.3617024Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:49:09.3617421Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:49:09.3617803Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:49:09.3618237Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:49:09.3618682Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3619106Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3619507Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3619918Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3620362Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3620771Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3621161Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3621574Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3622010Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3622422Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3622818Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3623231Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3623655Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3624085Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3624561Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3625027Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3625490Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:49:09.3625864Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:49:09.3626279Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:49:09.3626712Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/BatchRulesLinearAlgebra.cpp:581 [kernel] 2022-12-01T10:49:09.3627227Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:49:09.3627725Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:49:09.3628135Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:49:09.3628624Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:49:09.3629068Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:49:09.3629578Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:49:09.3630070Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:49:09.3630302Z 2022-12-01T10:49:09.3630306Z 2022-12-01T10:49:09.3630445Z During handling of the above exception, another exception occurred: 2022-12-01T10:49:09.3630619Z 2022-12-01T10:49:09.3630758Z Traceback (most recent call last): 2022-12-01T10:49:09.3631119Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3631395Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3631969Z torch._C._LinAlgError: cholesky: (Batch element 0): The factorization could not be completed because the input is not positive-definite (the leading minor of order 1 is not positive-definite). 2022-12-01T10:49:09.3632362Z 2022-12-01T10:49:09.3632502Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3632667Z 2022-12-01T10:49:09.3632761Z Traceback (most recent call last): 2022-12-01T10:49:09.3633030Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3633305Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3633539Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3633683Z 2022-12-01T10:49:09.3633740Z from user code: 2022-12-01T10:49:09.3634021Z File "test_linalg.py", line 2507, in 2022-12-01T10:49:09.3634291Z L = torch.cholesky(A, upper=upper) 2022-12-01T10:49:09.3634424Z 2022-12-01T10:49:09.3634555Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3634764Z ========== 2022-12-01T10:49:09.3635130Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release. 2022-12-01T10:49:09.3635491Z L = torch.cholesky(A) 2022-12-01T10:49:09.3635668Z should be replaced with 2022-12-01T10:49:09.3635870Z L = torch.linalg.cholesky(A) 2022-12-01T10:49:09.3636054Z and 2022-12-01T10:49:09.3636219Z U = torch.cholesky(A, upper=True) 2022-12-01T10:49:09.3636421Z should be replaced with 2022-12-01T10:49:09.3636630Z U = torch.linalg.cholesky(A).mH(). 2022-12-01T10:49:09.3637033Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1626.) 2022-12-01T10:49:09.3637438Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3637637Z ok (0.344s) 2022-12-01T10:49:09.3637882Z test_cholesky_solve_batched_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.115s) 2022-12-01T10:49:09.3638187Z test_cholesky_solve_batched_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.016s) 2022-12-01T10:49:09.3638494Z test_cholesky_solve_batched_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.005s) 2022-12-01T10:49:09.3638888Z test_cholesky_solve_batched_many_batches_cpu_complex128 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3639337Z test_cholesky_solve_batched_many_batches_cpu_complex64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3639797Z test_cholesky_solve_batched_many_batches_cpu_float32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3640248Z test_cholesky_solve_batched_many_batches_cpu_float64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3640624Z test_cholesky_solve_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3640921Z test_cholesky_solve_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3641199Z test_cholesky_solve_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3641488Z test_cholesky_solve_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3641808Z test_cholesky_solve_out_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3642143Z test_cholesky_solve_out_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3642487Z test_cholesky_solve_out_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3642823Z test_cholesky_solve_out_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3643130Z test_cond_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.189s) 2022-12-01T10:49:09.3643505Z test_cond_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.042s) 2022-12-01T10:49:09.3643780Z test_cond_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.040s) 2022-12-01T10:49:09.3644044Z test_cond_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.039s) 2022-12-01T10:49:09.3644325Z test_cond_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.060s) 2022-12-01T10:49:09.3644645Z test_cond_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.059s) 2022-12-01T10:49:09.3644961Z test_cond_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.058s) 2022-12-01T10:49:09.3645307Z test_cond_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.059s) 2022-12-01T10:49:09.3645619Z test_corner_cases_of_cublasltmatmul_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.529s) 2022-12-01T10:49:09.3645951Z test_corner_cases_of_cublasltmatmul_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.734s) 2022-12-01T10:49:09.3646290Z test_corner_cases_of_cublasltmatmul_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.577s) 2022-12-01T10:49:09.3646605Z test_corner_cases_of_cublasltmatmul_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.449s) 2022-12-01T10:49:09.3646931Z test_corner_cases_of_cublasltmatmul_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.554s) 2022-12-01T10:49:09.3647410Z test_corner_cases_of_cublasltmatmul_cpu_int16 (__main__.TestLinalgCPU) ... ok (0.653s) 2022-12-01T10:49:09.3647734Z test_corner_cases_of_cublasltmatmul_cpu_int32 (__main__.TestLinalgCPU) ... ok (0.868s) 2022-12-01T10:49:09.3648119Z test_corner_cases_of_cublasltmatmul_cpu_int64 (__main__.TestLinalgCPU) ... ok (0.854s) 2022-12-01T10:49:09.3648446Z test_corner_cases_of_cublasltmatmul_cpu_int8 (__main__.TestLinalgCPU) ... ok (0.573s) 2022-12-01T10:49:09.3648765Z test_corner_cases_of_cublasltmatmul_cpu_uint8 (__main__.TestLinalgCPU) ... ok (0.584s) 2022-12-01T10:49:09.3649052Z test_cross_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3649329Z test_cross_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.010s) 2022-12-01T10:49:09.3649626Z test_cross_with_and_without_dim_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.016s) 2022-12-01T10:49:09.3649943Z test_cross_with_and_without_dim_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3650273Z test_cublas_addmm_size_10000_cpu_bfloat16 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3650635Z test_cublas_addmm_size_10000_cpu_float16 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3650990Z test_cublas_addmm_size_10000_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3651341Z test_cublas_addmm_size_1000_cpu_bfloat16 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3651682Z test_cublas_addmm_size_1000_cpu_float16 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3652038Z test_cublas_addmm_size_1000_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3652387Z test_cublas_addmm_size_100_cpu_bfloat16 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3652731Z test_cublas_addmm_size_100_cpu_float16 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3653083Z test_cublas_addmm_size_100_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only CUDA 11+ is supported (0.002s) 2022-12-01T10:49:09.3653389Z test_det_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.044s) 2022-12-01T10:49:09.3653664Z test_det_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.039s) 2022-12-01T10:49:09.3653943Z test_det_logdet_slogdet_batched_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.345s) 2022-12-01T10:49:09.3654434Z test_det_logdet_slogdet_cpu_float64 (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. 2022-12-01T10:49:09.3655061Z The boolean parameter 'some' has been replaced with a string parameter 'mode'. 2022-12-01T10:49:09.3655314Z Q, R = torch.qr(A, some) 2022-12-01T10:49:09.3655492Z should be replaced with 2022-12-01T10:49:09.3655966Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2355.) 2022-12-01T10:49:09.3656331Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3656850Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3657333Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3657771Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3658345Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3658978Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3659441Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3659874Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3660450Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3661073Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3661550Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3661966Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3662533Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3663160Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3663626Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3664060Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3664611Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3665260Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3665731Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3666161Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3666748Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3667370Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3667844Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3668268Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3668842Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3669392Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3669956Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3670517Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3671079Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3671638Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3672196Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3672739Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3673302Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3673866Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3674426Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3675028Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3675569Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3676217Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3676685Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3677119Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3677682Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3678227Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3678789Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3679349Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3679914Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3680471Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3681104Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3681717Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3682192Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:49:09.3682618Z :6: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3683181Z :7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than tensor.new_tensor(sourceTensor). 2022-12-01T10:49:09.3683523Z ok (2.803s) 2022-12-01T10:49:09.3683752Z test_dot_invalid_args_cpu (__main__.TestLinalgCPU) ... ok (0.175s) 2022-12-01T10:49:09.3684042Z test_dot_vs_numpy_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.200s) 2022-12-01T10:49:09.3684321Z test_dot_vs_numpy_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.175s) 2022-12-01T10:49:09.3684653Z test_dot_vs_numpy_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.208s) 2022-12-01T10:49:09.3685012Z test_eig_check_magma_cpu_float32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3685401Z test_eig_compare_backends_cpu_complex128 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3685746Z test_eig_compare_backends_cpu_complex64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3686095Z test_eig_compare_backends_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3686472Z test_eig_compare_backends_cpu_float64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3686805Z test_eig_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.063s) 2022-12-01T10:49:09.3687236Z test_eig_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.042s) 2022-12-01T10:49:09.3687558Z test_eig_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.050s) 2022-12-01T10:49:09.3687938Z test_eig_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.049s) 2022-12-01T10:49:09.3688227Z test_eig_numpy_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.198s) 2022-12-01T10:49:09.3688512Z test_eig_numpy_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.049s) 2022-12-01T10:49:09.3688793Z test_eig_removed_error_cpu (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3689084Z test_eig_with_nan_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.029s) 2022-12-01T10:49:09.3689365Z test_eig_with_nan_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.018s) 2022-12-01T10:49:09.3689657Z test_eig_with_nan_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.018s) 2022-12-01T10:49:09.3689944Z test_eig_with_nan_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.018s) 2022-12-01T10:49:09.3690219Z test_eigh_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.256s) 2022-12-01T10:49:09.3690496Z test_eigh_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.021s) 2022-12-01T10:49:09.3690768Z test_eigh_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.021s) 2022-12-01T10:49:09.3691032Z test_eigh_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.019s) 2022-12-01T10:49:09.3691313Z test_eigh_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.052s) 2022-12-01T10:49:09.3691635Z test_eigh_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.044s) 2022-12-01T10:49:09.3691951Z test_eigh_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.044s) 2022-12-01T10:49:09.3692249Z test_eigh_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.044s) 2022-12-01T10:49:09.3692556Z test_eigh_lower_uplo_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.048s) 2022-12-01T10:49:09.3692852Z test_eigh_lower_uplo_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3693147Z test_eigh_lower_uplo_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.029s) 2022-12-01T10:49:09.3693422Z test_eigh_lower_uplo_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.029s) 2022-12-01T10:49:09.3693753Z test_eigvals_compare_backends_cpu_complex128 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3694115Z test_eigvals_compare_backends_cpu_complex64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3694460Z test_eigvals_compare_backends_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3694815Z test_eigvals_compare_backends_cpu_float64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3695150Z test_eigvals_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.037s) 2022-12-01T10:49:09.3695474Z test_eigvals_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.026s) 2022-12-01T10:49:09.3695850Z test_eigvals_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3696165Z test_eigvals_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3696472Z test_eigvals_numpy_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.174s) 2022-12-01T10:49:09.3696749Z test_eigvals_numpy_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.045s) 2022-12-01T10:49:09.3697039Z test_eigvalsh_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.234s) 2022-12-01T10:49:09.3697333Z test_eigvalsh_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3697618Z test_eigvalsh_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.010s) 2022-12-01T10:49:09.3697919Z test_eigvalsh_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.010s) 2022-12-01T10:49:09.3698408Z test_eigvalsh_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... test_linalg.py:1043: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:250.) 2022-12-01T10:49:09.3698848Z out = torch.empty_like(t).to(real_dtype) 2022-12-01T10:49:09.3699043Z ok (0.037s) 2022-12-01T10:49:09.3699279Z test_eigvalsh_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.033s) 2022-12-01T10:49:09.3699603Z test_eigvalsh_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.033s) 2022-12-01T10:49:09.3699925Z test_eigvalsh_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.033s) 2022-12-01T10:49:09.3700218Z test_einsum_corner_cases_cpu (__main__.TestLinalgCPU) ... ok (0.141s) 2022-12-01T10:49:09.3700752Z test_einsum_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 3674 2022-12-01T10:49:09.3701063Z due to: 2022-12-01T10:49:09.3701231Z Traceback (most recent call last): 2022-12-01T10:49:09.3701623Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:49:09.3702108Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:49:09.3702597Z AssertionError: torch.* op returned non-Tensor _GeneratorContextManager call_function 2022-12-01T10:49:09.3702821Z 2022-12-01T10:49:09.3702879Z from user code: 2022-12-01T10:49:09.3703110Z File "test_linalg.py", line 3678, in 2022-12-01T10:49:09.3703363Z with opt_einsum.flags(enabled=False): 2022-12-01T10:49:09.3703499Z 2022-12-01T10:49:09.3703633Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3703837Z ========== 2022-12-01T10:49:09.3704000Z ok (0.715s) 2022-12-01T10:49:09.3704220Z test_einsum_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.080s) 2022-12-01T10:49:09.3704717Z test_einsum_error_cases_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 3936 2022-12-01T10:49:09.3705039Z due to: 2022-12-01T10:49:09.3705221Z Traceback (most recent call last): 2022-12-01T10:49:09.3705500Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:49:09.3705813Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:49:09.3706041Z AssertionError: type 2022-12-01T10:49:09.3706157Z 2022-12-01T10:49:09.3706214Z from user code: 2022-12-01T10:49:09.3706452Z File "test_linalg.py", line 3938, in 2022-12-01T10:49:09.3706803Z check('', [], regex=r'at least one operand', exception=ValueError) 2022-12-01T10:49:09.3706966Z 2022-12-01T10:49:09.3707102Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3707304Z ========== 2022-12-01T10:49:09.3707459Z ok (0.094s) 2022-12-01T10:49:09.3707690Z test_einsum_random_cpu_complex128 (__main__.TestLinalgCPU) ... ok (3.005s) 2022-12-01T10:49:09.3708017Z test_einsum_random_cpu_float64 (__main__.TestLinalgCPU) ... ok (2.628s) 2022-12-01T10:49:09.3708315Z test_einsum_sublist_format_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.024s) 2022-12-01T10:49:09.3708621Z test_einsum_sublist_format_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3708896Z test_geqrf_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.360s) 2022-12-01T10:49:09.3709177Z test_geqrf_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3709452Z test_geqrf_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.021s) 2022-12-01T10:49:09.3709720Z test_geqrf_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3710035Z test_householder_product_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.487s) 2022-12-01T10:49:09.3710351Z test_householder_product_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3710659Z test_householder_product_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3710948Z test_householder_product_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.008s) 2022-12-01T10:49:09.3711265Z test_householder_product_errors_and_warnings_cpu (__main__.TestLinalgCPU) ... ok (0.029s) 2022-12-01T10:49:09.3711568Z test_inner_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.280s) 2022-12-01T10:49:09.3711838Z test_inner_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.107s) 2022-12-01T10:49:09.3712115Z test_inv_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.114s) 2022-12-01T10:49:09.3712428Z test_inv_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.073s) 2022-12-01T10:49:09.3712741Z test_inv_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.053s) 2022-12-01T10:49:09.3713033Z test_inv_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.053s) 2022-12-01T10:49:09.3713336Z test_inv_ex_info_device_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.008s) 2022-12-01T10:49:09.3713637Z test_inv_ex_info_device_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.007s) 2022-12-01T10:49:09.3713939Z test_inv_ex_info_device_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.007s) 2022-12-01T10:49:09.3714218Z test_inv_ex_info_device_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3714507Z test_inv_ex_singular_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3714803Z test_inv_ex_singular_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.025s) 2022-12-01T10:49:09.3715081Z test_inv_ex_singular_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.026s) 2022-12-01T10:49:09.3715368Z test_inv_ex_singular_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.025s) 2022-12-01T10:49:09.3715697Z test_invariance_error_spectral_decompositions_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.039s) 2022-12-01T10:49:09.3716019Z test_inverse_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.324s) 2022-12-01T10:49:09.3716286Z test_inverse_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.076s) 2022-12-01T10:49:09.3716565Z test_inverse_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.068s) 2022-12-01T10:49:09.3716836Z test_inverse_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.066s) 2022-12-01T10:49:09.3717106Z test_inverse_errors_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.096s) 2022-12-01T10:49:09.3717402Z test_inverse_errors_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.054s) 2022-12-01T10:49:09.3717692Z test_inverse_errors_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.034s) 2022-12-01T10:49:09.3717978Z test_inverse_errors_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.034s) 2022-12-01T10:49:09.3718265Z test_inverse_errors_large_cpu_complex128 (__main__.TestLinalgCPU) ... ok (1.205s) 2022-12-01T10:49:09.3718573Z test_inverse_errors_large_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.638s) 2022-12-01T10:49:09.3718877Z test_inverse_errors_large_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.303s) 2022-12-01T10:49:09.3719165Z test_inverse_errors_large_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.478s) 2022-12-01T10:49:09.3719573Z test_inverse_many_batches_cpu_complex128 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:49:09.3720007Z test_inverse_many_batches_cpu_complex64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3720434Z test_inverse_many_batches_cpu_float32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3720874Z test_inverse_many_batches_cpu_float64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3721224Z test_kron_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.289s) 2022-12-01T10:49:09.3721501Z test_kron_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.010s) 2022-12-01T10:49:09.3721774Z test_kron_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3722025Z test_kron_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.008s) 2022-12-01T10:49:09.3722298Z test_kron_empty_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.104s) 2022-12-01T10:49:09.3722585Z test_kron_empty_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.082s) 2022-12-01T10:49:09.3722856Z test_kron_empty_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.056s) 2022-12-01T10:49:09.3723134Z test_kron_empty_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3723882Z test_kron_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... test_linalg.py:1118: UserWarning: An output with one or more elements was resized since it had shape [3, 3], which does not match the required output shape [6, 6]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3724542Z torch.kron(a, b, out=out) 2022-12-01T10:49:09.3724723Z ok (0.069s) 2022-12-01T10:49:09.3725395Z test_kron_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... test_linalg.py:1118: UserWarning: An output with one or more elements was resized since it had shape [3, 3], which does not match the required output shape [6, 6]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3726049Z torch.kron(a, b, out=out) 2022-12-01T10:49:09.3726227Z ok (0.067s) 2022-12-01T10:49:09.3726905Z test_kron_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... test_linalg.py:1118: UserWarning: An output with one or more elements was resized since it had shape [3, 3], which does not match the required output shape [6, 6]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3727755Z torch.kron(a, b, out=out) 2022-12-01T10:49:09.3728000Z ok (0.067s) 2022-12-01T10:49:09.3728688Z test_kron_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... test_linalg.py:1118: UserWarning: An output with one or more elements was resized since it had shape [3, 3], which does not match the required output shape [6, 6]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3729400Z torch.kron(a, b, out=out) 2022-12-01T10:49:09.3729584Z ok (0.068s) 2022-12-01T10:49:09.3730034Z test_lapack_empty_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 7232 2022-12-01T10:49:09.3730352Z due to: 2022-12-01T10:49:09.3730543Z Traceback (most recent call last): 2022-12-01T10:49:09.3730843Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 1596, in LOAD_CLOSURE 2022-12-01T10:49:09.3731130Z self.push(self.closure_cells[inst.argval]) 2022-12-01T10:49:09.3731371Z KeyError: 'device' 2022-12-01T10:49:09.3731485Z 2022-12-01T10:49:09.3731617Z from user code: 2022-12-01T10:49:09.3731841Z File "test_linalg.py", line 7233, in 2022-12-01T10:49:09.3732122Z self.assertEqual((5, 0), fn(torch.pinverse, (0, 5)).shape) 2022-12-01T10:49:09.3732274Z 2022-12-01T10:49:09.3732409Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3732614Z ========== 2022-12-01T10:49:09.3732773Z ok (0.019s) 2022-12-01T10:49:09.3733198Z test_ldl_factor_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT symmetric test_linalg.py line 7301 2022-12-01T10:49:09.3733499Z due to: 2022-12-01T10:49:09.3733670Z Traceback (most recent call last): 2022-12-01T10:49:09.3733959Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:49:09.3734244Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:49:09.3734483Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:49:09.3734634Z 2022-12-01T10:49:09.3734704Z from user code: 2022-12-01T10:49:09.3734908Z File "test_linalg.py", line 7302, in symmetric 2022-12-01T10:49:09.3735151Z return A.tril() + A.tril(-1).mT 2022-12-01T10:49:09.3735275Z 2022-12-01T10:49:09.3735406Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3735625Z ========== 2022-12-01T10:49:09.3735827Z test_linalg.py:7312: ComplexWarning: scipy.linalg.ldl(): 2022-12-01T10:49:09.3736172Z The imaginary parts of the diagonalare ignored. Use "hermitian=False" for factorization ofcomplex symmetric arrays. 2022-12-01T10:49:09.3736504Z lambda x: scipy_ldl(x, hermitian=hermitian, lower=True), 2022-12-01T10:49:09.3736713Z ok (0.450s) 2022-12-01T10:49:09.3736985Z test_ldl_factor_cpu_complex64 (__main__.TestLinalgCPU) ... test_linalg.py:7312: ComplexWarning: scipy.linalg.ldl(): 2022-12-01T10:49:09.3737382Z The imaginary parts of the diagonalare ignored. Use "hermitian=False" for factorization ofcomplex symmetric arrays. 2022-12-01T10:49:09.3737710Z lambda x: scipy_ldl(x, hermitian=hermitian, lower=True), 2022-12-01T10:49:09.3737908Z ok (0.086s) 2022-12-01T10:49:09.3738132Z test_ldl_factor_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3738413Z test_ldl_factor_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3738911Z test_ldl_solve_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 7352 2022-12-01T10:49:09.3739206Z due to: 2022-12-01T10:49:09.3739389Z Traceback (most recent call last): 2022-12-01T10:49:09.3739671Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:49:09.3739942Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:49:09.3740190Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:49:09.3740338Z 2022-12-01T10:49:09.3740410Z from user code: 2022-12-01T10:49:09.3740622Z File "test_linalg.py", line 7360, in 2022-12-01T10:49:09.3740888Z expected_B = symmetric(A) @ X if not hermitian else A @ X 2022-12-01T10:49:09.3741037Z 2022-12-01T10:49:09.3741167Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3741383Z ========== 2022-12-01T10:49:09.3741727Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT symmetric test_linalg.py line 7356 2022-12-01T10:49:09.3741970Z due to: 2022-12-01T10:49:09.3742150Z Traceback (most recent call last): 2022-12-01T10:49:09.3742419Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:49:09.3742698Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:49:09.3742949Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:49:09.3743099Z 2022-12-01T10:49:09.3743155Z from user code: 2022-12-01T10:49:09.3743360Z File "test_linalg.py", line 7357, in symmetric 2022-12-01T10:49:09.3743620Z return A.tril() + A.tril(-1).mT 2022-12-01T10:49:09.3743782Z 2022-12-01T10:49:09.3743915Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3744120Z ========== 2022-12-01T10:49:09.3744277Z ok (0.078s) 2022-12-01T10:49:09.3744502Z test_ldl_solve_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3744777Z test_ldl_solve_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3745052Z test_ldl_solve_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3745332Z test_linalg_cross_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.028s) 2022-12-01T10:49:09.3745607Z test_linalg_cross_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.021s) 2022-12-01T10:49:09.3745918Z test_linalg_cross_with_and_without_dim_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3746245Z test_linalg_cross_with_and_without_dim_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.013s) 2022-12-01T10:49:09.3746578Z test_linalg_lstsq_batch_broadcasting_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.179s) 2022-12-01T10:49:09.3746901Z test_linalg_lstsq_batch_broadcasting_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.047s) 2022-12-01T10:49:09.3747231Z test_linalg_lstsq_batch_broadcasting_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.039s) 2022-12-01T10:49:09.3747559Z test_linalg_lstsq_batch_broadcasting_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.039s) 2022-12-01T10:49:09.3747850Z test_linalg_lstsq_cpu_complex128 (__main__.TestLinalgCPU) ... ok (2.575s) 2022-12-01T10:49:09.3748143Z test_linalg_lstsq_cpu_complex64 (__main__.TestLinalgCPU) ... ok (1.499s) 2022-12-01T10:49:09.3748429Z test_linalg_lstsq_cpu_float32 (__main__.TestLinalgCPU) ... ok (1.388s) 2022-12-01T10:49:09.3748712Z test_linalg_lstsq_cpu_float64 (__main__.TestLinalgCPU) ... ok (1.319s) 2022-12-01T10:49:09.3749217Z test_linalg_lstsq_input_checks_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT complement_device test_linalg.py line 423 2022-12-01T10:49:09.3749533Z due to: 2022-12-01T10:49:09.3749718Z Traceback (most recent call last): 2022-12-01T10:49:09.3749984Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:49:09.3750416Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:49:09.3750873Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:49:09.3751074Z 2022-12-01T10:49:09.3751145Z from user code: 2022-12-01T10:49:09.3751349Z File "test_linalg.py", line 424, in complement_device 2022-12-01T10:49:09.3751651Z if device == 'cpu' and torch.cuda.is_available(): 2022-12-01T10:49:09.3751794Z 2022-12-01T10:49:09.3751924Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3752127Z ========== 2022-12-01T10:49:09.3752283Z ok (0.330s) 2022-12-01T10:49:09.3752528Z test_linalg_lstsq_input_checks_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.160s) 2022-12-01T10:49:09.3752832Z test_linalg_lstsq_input_checks_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.160s) 2022-12-01T10:49:09.3753146Z test_linalg_lstsq_input_checks_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.159s) 2022-12-01T10:49:09.3753456Z test_linalg_lu_cpu_errors_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.062s) 2022-12-01T10:49:09.3753802Z test_linalg_lu_cpu_errors_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.055s) 2022-12-01T10:49:09.3754095Z test_linalg_lu_cpu_errors_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.055s) 2022-12-01T10:49:09.3754394Z test_linalg_lu_cpu_errors_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.055s) 2022-12-01T10:49:09.3755089Z test_linalg_lu_family_cpu_complex128 (__main__.TestLinalgCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1682: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release. 2022-12-01T10:49:09.3755586Z LU, pivots = torch.lu(A, compute_pivots) 2022-12-01T10:49:09.3755785Z should be replaced with 2022-12-01T10:49:09.3756013Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots) 2022-12-01T10:49:09.3756216Z and 2022-12-01T10:49:09.3756413Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True) 2022-12-01T10:49:09.3756641Z should be replaced with 2022-12-01T10:49:09.3757000Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1925.) 2022-12-01T10:49:09.3757379Z return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos)) 2022-12-01T10:49:09.3757603Z ok (0.816s) 2022-12-01T10:49:09.3757835Z test_linalg_lu_family_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.333s) 2022-12-01T10:49:09.3758127Z test_linalg_lu_family_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.288s) 2022-12-01T10:49:09.3758406Z test_linalg_lu_family_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.432s) 2022-12-01T10:49:09.3758702Z test_linalg_lu_solve_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.078s) 2022-12-01T10:49:09.3759002Z test_linalg_lu_solve_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.028s) 2022-12-01T10:49:09.3759283Z test_linalg_lu_solve_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3759572Z test_linalg_lu_solve_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3759942Z test_linalg_matrix_exp_analytic_cpu_complex128 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3760388Z test_linalg_matrix_exp_analytic_cpu_complex64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3760814Z test_linalg_matrix_exp_analytic_cpu_float32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3761249Z test_linalg_matrix_exp_analytic_cpu_float64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3761616Z test_linalg_matrix_exp_batch_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.593s) 2022-12-01T10:49:09.3761928Z test_linalg_matrix_exp_batch_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3762240Z test_linalg_matrix_exp_boundary_cases_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3762575Z test_linalg_matrix_exp_boundary_cases_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3762905Z test_linalg_matrix_exp_boundary_cases_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3763232Z test_linalg_matrix_exp_boundary_cases_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3763552Z test_linalg_matrix_exp_compare_with_taylor_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.572s) 2022-12-01T10:49:09.3763899Z test_linalg_matrix_exp_compare_with_taylor_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.092s) 2022-12-01T10:49:09.3764237Z test_linalg_matrix_exp_compare_with_taylor_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.087s) 2022-12-01T10:49:09.3764556Z test_linalg_matrix_exp_compare_with_taylor_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.083s) 2022-12-01T10:49:09.3764923Z test_linalg_matrix_exp_no_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3765243Z test_linalg_matrix_exp_utils_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.529s) 2022-12-01T10:49:09.3765549Z test_linalg_matrix_exp_utils_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.010s) 2022-12-01T10:49:09.3765842Z test_linalg_qr_autograd_errors_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3766175Z test_linalg_solve_triangular_broadcasting_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.061s) 2022-12-01T10:49:09.3766558Z test_linalg_solve_triangular_broadcasting_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3766892Z test_linalg_solve_triangular_broadcasting_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3767445Z test_linalg_solve_triangular_broadcasting_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3768075Z test_linalg_solve_triangular_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_linalg_solve_triangular test_linalg.py line 4019 2022-12-01T10:49:09.3768407Z due to: 2022-12-01T10:49:09.3768580Z Traceback (most recent call last): 2022-12-01T10:49:09.3768969Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:49:09.3769320Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:49:09.3769655Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:49:09.3769862Z 2022-12-01T10:49:09.3770001Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3770166Z 2022-12-01T10:49:09.3770260Z Traceback (most recent call last): 2022-12-01T10:49:09.3770539Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:49:09.3770769Z ) from e 2022-12-01T10:49:09.3771103Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:49:09.3771358Z 2022-12-01T10:49:09.3771489Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3771759Z ========== 2022-12-01T10:49:09.3772064Z ok (1.557s) 2022-12-01T10:49:09.3772337Z test_linalg_solve_triangular_cpu_complex64 (__main__.TestLinalgCPU) ... ok (1.559s) 2022-12-01T10:49:09.3772715Z test_linalg_solve_triangular_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.310s) 2022-12-01T10:49:09.3773087Z test_linalg_solve_triangular_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.299s) 2022-12-01T10:49:09.3773516Z test_linalg_solve_triangular_large_cpu_complex128 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3773910Z test_linalg_solve_triangular_large_cpu_complex64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3774331Z test_linalg_solve_triangular_large_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3774747Z test_linalg_solve_triangular_large_cpu_float64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3775290Z test_linear_algebra_scalar_raises_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 4373 2022-12-01T10:49:09.3775683Z due to: 2022-12-01T10:49:09.3775923Z Traceback (most recent call last): 2022-12-01T10:49:09.3776322Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3776608Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3776929Z RuntimeError: vector + matrix @ vector expected, got 1, 2, 0 2022-12-01T10:49:09.3777129Z 2022-12-01T10:49:09.3777293Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3777488Z 2022-12-01T10:49:09.3777565Z Traceback (most recent call last): 2022-12-01T10:49:09.3777972Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3778312Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3778643Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3778774Z 2022-12-01T10:49:09.3778873Z from user code: 2022-12-01T10:49:09.3779129Z File "test_linalg.py", line 4373, in 2022-12-01T10:49:09.3779450Z self.assertRaises(RuntimeError, lambda: torch.mv(m, s)) 2022-12-01T10:49:09.3779635Z 2022-12-01T10:49:09.3779755Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3780046Z ========== 2022-12-01T10:49:09.3780466Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 4374 2022-12-01T10:49:09.3780734Z due to: 2022-12-01T10:49:09.3780968Z Traceback (most recent call last): 2022-12-01T10:49:09.3781383Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3781726Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3781998Z RuntimeError: vector + matrix @ vector expected, got 1, 2, 0 2022-12-01T10:49:09.3782177Z 2022-12-01T10:49:09.3782341Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3782534Z 2022-12-01T10:49:09.3782652Z Traceback (most recent call last): 2022-12-01T10:49:09.3782944Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3783296Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3783581Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3800783Z 2022-12-01T10:49:09.3800910Z from user code: 2022-12-01T10:49:09.3801158Z File "test_linalg.py", line 4374, in 2022-12-01T10:49:09.3801430Z self.assertRaises(RuntimeError, lambda: torch.addmv(v, m, s)) 2022-12-01T10:49:09.3801599Z 2022-12-01T10:49:09.3801733Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3801944Z ========== 2022-12-01T10:49:09.3802105Z ok (0.044s) 2022-12-01T10:49:09.3802485Z test_lobpcg_basic_cpu_float64 (__main__.TestLinalgCPU) ... test_linalg.py:5120: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-12-01T10:49:09.3802973Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-12-01T10:49:09.3803290Z L, _ = torch.symeig(A, upper=upper) 2022-12-01T10:49:09.3803492Z should be replaced with 2022-12-01T10:49:09.3803810Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-12-01T10:49:09.3804004Z and 2022-12-01T10:49:09.3804190Z L, V = torch.symeig(A, eigenvectors=True) 2022-12-01T10:49:09.3804401Z should be replaced with 2022-12-01T10:49:09.3804852Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2806.) 2022-12-01T10:49:09.3805186Z e = torch.symeig(A)[0] 2022-12-01T10:49:09.3805365Z ok (0.964s) 2022-12-01T10:49:09.3805579Z test_lobpcg_ortho_cpu_float64 (__main__.TestLinalgCPU) ... ok (5.886s) 2022-12-01T10:49:09.3805855Z test_lobpcg_scipy_cpu_float64 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3806144Z Compare torch and scipy.sparse.linalg implementations of lobpcg ... 2022-12-01T10:49:09.3806433Z CPU timings: torch.lobpcg vs scipy.sparse.linalg.lobpcg 2022-12-01T10:49:09.3806756Z ------------------------------------------------------- 2022-12-01T10:49:09.3807152Z | standard | generalized | method 2022-12-01T10:49:09.3807395Z torch.lobpcg | 168.72 | 192.05 | ortho 2022-12-01T10:49:09.3807597Z scipy_lobpcg | 136.10 | 143.42 | N/A 2022-12-01T10:49:09.3807955Z -(input size: 500, eigenpairs: 7, units: ms per call)- 2022-12-01T10:49:09.3808161Z 2022-12-01T10:49:09.3808385Z Calling scipy_lobpcg failed [standard]: eigh has failed in lobpcg iterations 2022-12-01T10:49:09.3808764Z Handling of small tol=1e-100: torch.lobpcg vs scipy.sparse.linalg.lobpcg 2022-12-01T10:49:09.3809268Z ---------------------------------------------------------------------------- 2022-12-01T10:49:09.3809540Z | standard | generalized | niter | method 2022-12-01T10:49:09.3809835Z torch.lobpcg | 2.08e-13 | 8.88e-15 | 1000 | ortho 2022-12-01T10:49:09.3810118Z scipy_lobpcg | -1.00e+00 | 1.41e+01 | -1 | N/A 2022-12-01T10:49:09.3810432Z ---(input size: 500, eigenpairs: 7, units: relative error, maxiter=1000)--- 2022-12-01T10:49:09.3810601Z 2022-12-01T10:49:09.3810668Z ok (16.684s) 2022-12-01T10:49:09.3811171Z test_lobpcg_torchscript_cpu_float64 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_lobpcg_torchscript test_linalg.py line 5175 2022-12-01T10:49:09.3811491Z due to: 2022-12-01T10:49:09.3811659Z Traceback (most recent call last): 2022-12-01T10:49:09.3812009Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:49:09.3812322Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:49:09.3812639Z NotImplementedError: argument of type: 2022-12-01T10:49:09.3812796Z 2022-12-01T10:49:09.3812866Z from user code: 2022-12-01T10:49:09.3813091Z File "test_linalg.py", line 5182, in test_lobpcg_torchscript 2022-12-01T10:49:09.3813344Z lobpcg = torch.jit.script(torch.lobpcg) 2022-12-01T10:49:09.3813471Z 2022-12-01T10:49:09.3813603Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3813818Z ========== 2022-12-01T10:49:09.3813974Z ok (0.816s) 2022-12-01T10:49:09.3814186Z test_lstsq_removed_error_cpu (__main__.TestLinalgCPU) ... ok (0.014s) 2022-12-01T10:49:09.3814687Z test_lu_solve_batched_broadcasting_cpu_complex128 (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release. 2022-12-01T10:49:09.3815170Z Note that torch.linalg.lu_solve has its arguments reversed. 2022-12-01T10:49:09.3815407Z X = torch.lu_solve(B, LU, pivots) 2022-12-01T10:49:09.3815591Z should be replaced with 2022-12-01T10:49:09.3815924Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2079.) 2022-12-01T10:49:09.3816267Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3816451Z ok (0.105s) 2022-12-01T10:49:09.3816698Z test_lu_solve_batched_broadcasting_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.072s) 2022-12-01T10:49:09.3817026Z test_lu_solve_batched_broadcasting_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3817337Z test_lu_solve_batched_broadcasting_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3817885Z test_lu_solve_batched_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 6940 2022-12-01T10:49:09.3818206Z due to: 2022-12-01T10:49:09.3818385Z Traceback (most recent call last): 2022-12-01T10:49:09.3818657Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 1596, in LOAD_CLOSURE 2022-12-01T10:49:09.3818948Z self.push(self.closure_cells[inst.argval]) 2022-12-01T10:49:09.3819181Z KeyError: 'device' 2022-12-01T10:49:09.3819291Z 2022-12-01T10:49:09.3819346Z from user code: 2022-12-01T10:49:09.3819580Z File "test_linalg.py", line 6942, in 2022-12-01T10:49:09.3819808Z sub_test(True) 2022-12-01T10:49:09.3819911Z 2022-12-01T10:49:09.3820041Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3820249Z ========== 2022-12-01T10:49:09.3820402Z ok (0.318s) 2022-12-01T10:49:09.3820629Z test_lu_solve_batched_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.152s) 2022-12-01T10:49:09.3820911Z test_lu_solve_batched_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.104s) 2022-12-01T10:49:09.3821241Z test_lu_solve_batched_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3821614Z test_lu_solve_batched_many_batches_cpu_complex128 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3822049Z test_lu_solve_batched_many_batches_cpu_complex64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3822485Z test_lu_solve_batched_many_batches_cpu_float32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3822947Z test_lu_solve_batched_many_batches_cpu_float64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3823306Z test_lu_solve_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.020s) 2022-12-01T10:49:09.3823577Z test_lu_solve_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3823856Z test_lu_solve_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3824128Z test_lu_solve_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.003s) 2022-12-01T10:49:09.3824446Z test_lu_solve_large_matrices_cpu_complex128 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3824792Z test_lu_solve_large_matrices_cpu_complex64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3825143Z test_lu_solve_large_matrices_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3825490Z test_lu_solve_large_matrices_cpu_float64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3825813Z test_lu_unpack_check_input_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.019s) 2022-12-01T10:49:09.3826104Z test_matmul_45724_cpu (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3826859Z test_matmul_small_brute_force_1d_Nd_cpu_complex64 (__main__.TestLinalgCPU) ... test_linalg.py:4309: UserWarning: An output with one or more elements was resized since it had shape [1], which does not match the required output shape [1, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3827523Z ans = torch.matmul(x, y, out=out) 2022-12-01T10:49:09.3828158Z test_linalg.py:4309: UserWarning: An output with one or more elements was resized since it had shape [2], which does not match the required output shape [1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3828757Z ans = torch.matmul(x, y, out=out) 2022-12-01T10:49:09.3829373Z test_linalg.py:4309: UserWarning: An output with one or more elements was resized since it had shape [3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3829968Z ans = torch.matmul(x, y, out=out) 2022-12-01T10:49:09.3830150Z ok (0.770s) 2022-12-01T10:49:09.3830397Z test_matmul_small_brute_force_1d_Nd_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.368s) 2022-12-01T10:49:09.3830700Z test_matmul_small_brute_force_1d_Nd_cpu_int64 (__main__.TestLinalgCPU) ... ok (0.231s) 2022-12-01T10:49:09.3831018Z test_matmul_small_brute_force_2d_Nd_cpu_complex64 (__main__.TestLinalgCPU) ... ok (1.764s) 2022-12-01T10:49:09.3831405Z test_matmul_small_brute_force_2d_Nd_cpu_float32 (__main__.TestLinalgCPU) ... ok (1.473s) 2022-12-01T10:49:09.3831718Z test_matmul_small_brute_force_2d_Nd_cpu_int64 (__main__.TestLinalgCPU) ... ok (0.989s) 2022-12-01T10:49:09.3832020Z test_matmul_small_brute_force_3d_Nd_cpu_complex64 (__main__.TestLinalgCPU) ... ok (2.024s) 2022-12-01T10:49:09.3832336Z test_matmul_small_brute_force_3d_Nd_cpu_float32 (__main__.TestLinalgCPU) ... ok (1.686s) 2022-12-01T10:49:09.3832649Z test_matmul_small_brute_force_3d_Nd_cpu_int64 (__main__.TestLinalgCPU) ... ok (1.063s) 2022-12-01T10:49:09.3832958Z test_matrix_norm_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.031s) 2022-12-01T10:49:09.3833239Z test_matrix_norm_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3833535Z test_matrix_power_negative_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.104s) 2022-12-01T10:49:09.3833844Z test_matrix_power_negative_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3834144Z test_matrix_power_non_negative_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.072s) 2022-12-01T10:49:09.3834453Z test_matrix_power_non_negative_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.037s) 2022-12-01T10:49:09.3834756Z test_matrix_rank_atol_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.097s) 2022-12-01T10:49:09.3835043Z test_matrix_rank_atol_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.079s) 2022-12-01T10:49:09.3835335Z test_matrix_rank_atol_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.019s) 2022-12-01T10:49:09.3835625Z test_matrix_rank_atol_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.018s) 2022-12-01T10:49:09.3835915Z test_matrix_rank_atol_rtol_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.021s) 2022-12-01T10:49:09.3836203Z test_matrix_rank_basic_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.060s) 2022-12-01T10:49:09.3836501Z test_matrix_rank_basic_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.043s) 2022-12-01T10:49:09.3836799Z test_matrix_rank_basic_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.043s) 2022-12-01T10:49:09.3837077Z test_matrix_rank_basic_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.044s) 2022-12-01T10:49:09.3837562Z test_matrix_rank_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT run_test test_linalg.py line 3267 2022-12-01T10:49:09.3837858Z due to: 2022-12-01T10:49:09.3838042Z Traceback (most recent call last): 2022-12-01T10:49:09.3838305Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3838567Z return n.meta["example_value"] 2022-12-01T10:49:09.3838800Z KeyError: 'example_value' 2022-12-01T10:49:09.3838919Z 2022-12-01T10:49:09.3838977Z from user code: 2022-12-01T10:49:09.3839179Z File "test_linalg.py", line 3271, in run_test 2022-12-01T10:49:09.3839414Z self.assertEqual(rank_a, matrix_rank(a.mH)) 2022-12-01T10:49:09.3839554Z 2022-12-01T10:49:09.3839673Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3839888Z ========== 2022-12-01T10:49:09.3840044Z ok (0.028s) 2022-12-01T10:49:09.3840271Z test_matrix_rank_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3840542Z test_matrix_rank_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.014s) 2022-12-01T10:49:09.3840818Z test_matrix_rank_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.014s) 2022-12-01T10:49:09.3841321Z test_matrix_rank_empty_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matrix_rank_empty test_linalg.py line 3359 2022-12-01T10:49:09.3841620Z due to: 2022-12-01T10:49:09.3841803Z Traceback (most recent call last): 2022-12-01T10:49:09.3842078Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3842327Z return n.meta["example_value"] 2022-12-01T10:49:09.3842556Z KeyError: 'example_value' 2022-12-01T10:49:09.3842713Z 2022-12-01T10:49:09.3842781Z from user code: 2022-12-01T10:49:09.3843000Z File "test_linalg.py", line 3393, in test_matrix_rank_empty 2022-12-01T10:49:09.3843204Z run_test(0, 0, batch) 2022-12-01T10:49:09.3843313Z 2022-12-01T10:49:09.3843441Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3843657Z ========== 2022-12-01T10:49:09.3843958Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT run_test test_linalg.py line 3367 2022-12-01T10:49:09.3844200Z due to: 2022-12-01T10:49:09.3844378Z Traceback (most recent call last): 2022-12-01T10:49:09.3844639Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3844933Z return n.meta["example_value"] 2022-12-01T10:49:09.3845162Z KeyError: 'example_value' 2022-12-01T10:49:09.3845278Z 2022-12-01T10:49:09.3845335Z from user code: 2022-12-01T10:49:09.3845536Z File "test_linalg.py", line 3372, in run_test 2022-12-01T10:49:09.3845773Z self.assertEqual(rank_a, matrix_rank(a.mH)) 2022-12-01T10:49:09.3845914Z 2022-12-01T10:49:09.3846043Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3846245Z ========== 2022-12-01T10:49:09.3846399Z ok (0.023s) 2022-12-01T10:49:09.3846634Z test_matrix_rank_empty_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3846920Z test_matrix_rank_empty_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3847364Z test_matrix_rank_empty_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3847682Z test_matrix_rank_out_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.018s) 2022-12-01T10:49:09.3848090Z test_matrix_rank_out_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3848421Z test_matrix_rank_out_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.016s) 2022-12-01T10:49:09.3848749Z test_matrix_rank_out_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3849065Z test_matrix_rank_removed_error_cpu (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3849595Z test_mm_bmm_non_memory_dense_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 5665 2022-12-01T10:49:09.3849924Z due to: 2022-12-01T10:49:09.3850108Z Traceback (most recent call last): 2022-12-01T10:49:09.3850480Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:49:09.3850822Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:49:09.3851170Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:49:09.3851374Z 2022-12-01T10:49:09.3851508Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3851670Z 2022-12-01T10:49:09.3851747Z Traceback (most recent call last): 2022-12-01T10:49:09.3852026Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:49:09.3852265Z ) from e 2022-12-01T10:49:09.3852579Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:49:09.3852596Z 2022-12-01T10:49:09.3852713Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3852776Z ========== 2022-12-01T10:49:09.3852990Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT t_b test_linalg.py line 5676 2022-12-01T10:49:09.3853052Z due to: 2022-12-01T10:49:09.3853141Z Traceback (most recent call last): 2022-12-01T10:49:09.3853403Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:49:09.3853548Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:49:09.3853714Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:49:09.3853799Z 2022-12-01T10:49:09.3853921Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3853927Z 2022-12-01T10:49:09.3854016Z Traceback (most recent call last): 2022-12-01T10:49:09.3854171Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:49:09.3854236Z ) from e 2022-12-01T10:49:09.3854471Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:49:09.3854477Z 2022-12-01T10:49:09.3854605Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3854667Z ========== 2022-12-01T10:49:09.3854782Z ok (0.039s) 2022-12-01T10:49:09.3854969Z test_mm_cpu_complex128 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3855160Z test_mm_cpu_complex64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3855348Z test_mm_cpu_float32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3855534Z test_mm_cpu_float64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3855716Z test_mm_cpu_int32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3855898Z test_mm_cpu_int64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:49:09.3856032Z test_multi_dot_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.280s) 2022-12-01T10:49:09.3856160Z test_multi_dot_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.007s) 2022-12-01T10:49:09.3856294Z test_multi_dot_errors_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.218s) 2022-12-01T10:49:09.3856415Z test_norm_complex_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.067s) 2022-12-01T10:49:09.3856549Z test_norm_complex_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.019s) 2022-12-01T10:49:09.3856678Z test_norm_complex_old_cpu (__main__.TestLinalgCPU) ... ok (0.045s) 2022-12-01T10:49:09.3856807Z test_norm_dtype_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (0.343s) 2022-12-01T10:49:09.3856938Z test_norm_dtype_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.048s) 2022-12-01T10:49:09.3857068Z test_norm_dtype_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.073s) 2022-12-01T10:49:09.3857196Z test_norm_dtype_cpu_float16 (__main__.TestLinalgCPU) ... ok (0.054s) 2022-12-01T10:49:09.3857324Z test_norm_dtype_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.069s) 2022-12-01T10:49:09.3857436Z test_norm_dtype_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.045s) 2022-12-01T10:49:09.3857564Z test_norm_errors_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.240s) 2022-12-01T10:49:09.3857690Z test_norm_errors_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.146s) 2022-12-01T10:49:09.3858071Z test_norm_extreme_values_cpu (__main__.TestLinalgCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/linalg/linalg.py:2516: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:49:09.3858141Z ret **= (1 / ord) 2022-12-01T10:49:09.3858429Z /opt/conda/lib/python3.7/site-packages/numpy/linalg/linalg.py:2514: RuntimeWarning: divide by zero encountered in reciprocal 2022-12-01T10:49:09.3858499Z absx **= ord 2022-12-01T10:49:09.3858776Z /opt/conda/lib/python3.7/site-packages/numpy/linalg/linalg.py:2514: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:49:09.3858832Z absx **= ord 2022-12-01T10:49:09.3858900Z ok (0.077s) 2022-12-01T10:49:09.3859026Z test_norm_fastpaths_cpu (__main__.TestLinalgCPU) ... ok (0.063s) 2022-12-01T10:49:09.3859172Z test_norm_fro_2_equivalence_old_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.131s) 2022-12-01T10:49:09.3859342Z test_norm_fused_type_promotion_cpu_bfloat16 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:49:09.3859548Z test_norm_fused_type_promotion_cpu_float16 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3859676Z test_norm_matrix_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.335s) 2022-12-01T10:49:09.3859802Z test_norm_matrix_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.176s) 2022-12-01T10:49:09.3859944Z test_norm_matrix_degenerate_shapes_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.551s) 2022-12-01T10:49:09.3860096Z test_norm_matrix_degenerate_shapes_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.428s) 2022-12-01T10:49:09.3860272Z test_norm_matrix_degenerate_shapes_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.419s) 2022-12-01T10:49:09.3860422Z test_norm_matrix_degenerate_shapes_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.418s) 2022-12-01T10:49:09.3860537Z test_norm_old_cpu (__main__.TestLinalgCPU) ... ok (0.115s) 2022-12-01T10:49:09.3860675Z test_norm_old_nan_propagation_cpu (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3860806Z test_norm_vector_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.252s) 2022-12-01T10:49:09.3860933Z test_norm_vector_cpu_float64 (__main__.TestLinalgCPU) ... ok (1.054s) 2022-12-01T10:49:09.3861077Z test_norm_vector_degenerate_shapes_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.306s) 2022-12-01T10:49:09.3861230Z test_norm_vector_degenerate_shapes_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.163s) 2022-12-01T10:49:09.3861379Z test_norm_vector_degenerate_shapes_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.163s) 2022-12-01T10:49:09.3861528Z test_norm_vector_degenerate_shapes_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.162s) 2022-12-01T10:49:09.3861681Z test_nuclear_norm_axes_small_brute_force_old_cpu (__main__.TestLinalgCPU) ... ok (1.089s) 2022-12-01T10:49:09.3861820Z test_nuclear_norm_exceptions_old_cpu (__main__.TestLinalgCPU) ... ok (0.049s) 2022-12-01T10:49:09.3861953Z test_nuclear_norm_out_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.037s) 2022-12-01T10:49:09.3862088Z test_nuclear_norm_out_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.016s) 2022-12-01T10:49:09.3862458Z test_old_cholesky_batched_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 601 2022-12-01T10:49:09.3862525Z due to: 2022-12-01T10:49:09.3862615Z Traceback (most recent call last): 2022-12-01T10:49:09.3862828Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3862922Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3864736Z NotImplementedError: Could not run 'aten::cholesky' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::cholesky' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:49:09.3864749Z 2022-12-01T10:49:09.3864919Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:49:09.3865152Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:49:09.3865352Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:49:09.3865612Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:49:09.3865823Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:49:09.3866008Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:49:09.3866190Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:49:09.3866399Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:49:09.3866588Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:49:09.3866814Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:49:09.3867021Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3867222Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3867417Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3867612Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3867810Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3868007Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3868200Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3868384Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3868580Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3868775Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3868975Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3869173Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3869384Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3869596Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3869799Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3870014Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3870191Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:49:09.3870349Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:49:09.3870543Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:49:09.3870788Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/BatchRulesLinearAlgebra.cpp:581 [kernel] 2022-12-01T10:49:09.3871020Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:49:09.3871213Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:49:09.3871423Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:49:09.3871661Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:49:09.3871874Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:49:09.3872106Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:49:09.3872317Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:49:09.3872322Z 2022-12-01T10:49:09.3872327Z 2022-12-01T10:49:09.3872449Z During handling of the above exception, another exception occurred: 2022-12-01T10:49:09.3872466Z 2022-12-01T10:49:09.3872543Z Traceback (most recent call last): 2022-12-01T10:49:09.3872764Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3872860Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3873239Z torch._C._LinAlgError: cholesky: The factorization could not be completed because the input is not positive-definite (the leading minor of order 1 is not positive-definite). 2022-12-01T10:49:09.3873244Z 2022-12-01T10:49:09.3873380Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3873385Z 2022-12-01T10:49:09.3873476Z Traceback (most recent call last): 2022-12-01T10:49:09.3873631Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3873726Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3873820Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3873836Z 2022-12-01T10:49:09.3873893Z from user code: 2022-12-01T10:49:09.3874029Z File "test_linalg.py", line 602, in 2022-12-01T10:49:09.3874246Z cholesky_exp = torch.stack([m.cholesky(upper=upper) for m in A.reshape(-1, n, n)]) 2022-12-01T10:49:09.3874251Z 2022-12-01T10:49:09.3874382Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3874447Z ========== 2022-12-01T10:49:09.3874513Z ok (0.049s) 2022-12-01T10:49:09.3874658Z test_old_cholesky_batched_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3874786Z test_old_cholesky_batched_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3874928Z test_old_cholesky_batched_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3875150Z test_old_cholesky_batched_many_batches_cpu_float64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:49:09.3875324Z test_old_cholesky_batched_upper_cpu_complex128 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3875497Z test_old_cholesky_batched_upper_cpu_complex64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3875668Z test_old_cholesky_batched_upper_cpu_float32 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3875839Z test_old_cholesky_batched_upper_cpu_float64 (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3876206Z test_old_cholesky_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 617 2022-12-01T10:49:09.3876302Z due to: 2022-12-01T10:49:09.3876380Z Traceback (most recent call last): 2022-12-01T10:49:09.3876596Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3876692Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3878490Z NotImplementedError: Could not run 'aten::cholesky' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::cholesky' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:49:09.3878513Z 2022-12-01T10:49:09.3878671Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:49:09.3878908Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:49:09.3879107Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:49:09.3879334Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:49:09.3879548Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:49:09.3879739Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:49:09.3879924Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:49:09.3880110Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:49:09.3880300Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:49:09.3880516Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:49:09.3880717Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3880916Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3881116Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3881312Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3881505Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3881701Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3881893Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3882086Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3882308Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3882492Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3882690Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3882888Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3883126Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3883336Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3883538Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3883753Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:49:09.3883930Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:49:09.3884098Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:49:09.3884290Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:49:09.3884493Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/BatchRulesLinearAlgebra.cpp:581 [kernel] 2022-12-01T10:49:09.3884727Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:49:09.3884919Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:49:09.3885127Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:49:09.3885334Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:49:09.3885545Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:49:09.3885775Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:49:09.3885984Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:49:09.3885989Z 2022-12-01T10:49:09.3885994Z 2022-12-01T10:49:09.3886129Z During handling of the above exception, another exception occurred: 2022-12-01T10:49:09.3886136Z 2022-12-01T10:49:09.3886227Z Traceback (most recent call last): 2022-12-01T10:49:09.3886447Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3886532Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3886909Z torch._C._LinAlgError: cholesky: The factorization could not be completed because the input is not positive-definite (the leading minor of order 1 is not positive-definite). 2022-12-01T10:49:09.3886913Z 2022-12-01T10:49:09.3887203Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3887209Z 2022-12-01T10:49:09.3887306Z Traceback (most recent call last): 2022-12-01T10:49:09.3887466Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3887562Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3887671Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3887735Z 2022-12-01T10:49:09.3887867Z from user code: 2022-12-01T10:49:09.3887988Z File "test_linalg.py", line 620, in 2022-12-01T10:49:09.3888067Z C = torch.cholesky(A) 2022-12-01T10:49:09.3888073Z 2022-12-01T10:49:09.3888204Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3888268Z ========== 2022-12-01T10:49:09.3888334Z ok (0.021s) 2022-12-01T10:49:09.3888472Z test_old_cholesky_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3888603Z test_old_cholesky_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3888733Z test_old_cholesky_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.006s) 2022-12-01T10:49:09.3888903Z test_old_cholesky_empty_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.042s) 2022-12-01T10:49:09.3889047Z test_old_cholesky_empty_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3889184Z test_old_cholesky_empty_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3889322Z test_old_cholesky_empty_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3889447Z test_ormqr_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.604s) 2022-12-01T10:49:09.3889574Z test_ormqr_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.073s) 2022-12-01T10:49:09.3889693Z test_ormqr_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.061s) 2022-12-01T10:49:09.3889813Z test_ormqr_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.058s) 2022-12-01T10:49:09.3889949Z test_ormqr_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.028s) 2022-12-01T10:49:09.3890098Z test_ormqr_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.023s) 2022-12-01T10:49:09.3890241Z test_ormqr_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.022s) 2022-12-01T10:49:09.3890381Z test_ormqr_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.022s) 2022-12-01T10:49:09.3890788Z test_outer_cpu_bfloat16 (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3890897Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3891194Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3891546Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3891651Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3891943Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3892292Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3892383Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3892673Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3892738Z ok (0.310s) 2022-12-01T10:49:09.3893130Z test_outer_cpu_bool (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3893266Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3893559Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3893950Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3894056Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3894352Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3894702Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3894803Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3895093Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3895147Z ok (0.250s) 2022-12-01T10:49:09.3895553Z test_outer_cpu_complex128 (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3895658Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3895950Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3896299Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3896403Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3896692Z :6: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3896990Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3897069Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3897134Z ok (0.175s) 2022-12-01T10:49:09.3897489Z test_outer_cpu_complex64 (__main__.TestLinalgCPU) ... test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3897555Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3897854Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3897963Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3898257Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3898333Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3898398Z ok (0.035s) 2022-12-01T10:49:09.3898781Z test_outer_cpu_float16 (__main__.TestLinalgCPU) ... test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3898858Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3899154Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3899231Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3899514Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3899591Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3899654Z ok (0.035s) 2022-12-01T10:49:09.3900007Z test_outer_cpu_float32 (__main__.TestLinalgCPU) ... test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3900084Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3900378Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3900456Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3900751Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3900826Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3900877Z ok (0.033s) 2022-12-01T10:49:09.3901227Z test_outer_cpu_float64 (__main__.TestLinalgCPU) ... test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3901303Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3901597Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3901675Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3901973Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3902050Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3902113Z ok (0.034s) 2022-12-01T10:49:09.3902455Z test_outer_cpu_int16 (__main__.TestLinalgCPU) ... test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3902529Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3902810Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3902915Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3903202Z test_linalg.py:133: UserWarning: torch.ger is deprecated and will be removed in a future PyTorch release. Use torch.outer instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/LinearAlgebra.cpp:1136.) 2022-12-01T10:49:09.3903277Z torch.ger(a, b, out=out) 2022-12-01T10:49:09.3903340Z ok (0.032s) 2022-12-01T10:49:09.3903463Z test_outer_cpu_int32 (__main__.TestLinalgCPU) ... ok (0.005s) 2022-12-01T10:49:09.3903581Z test_outer_cpu_int64 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3903727Z test_outer_cpu_int8 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3903833Z test_outer_cpu_uint8 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3904178Z test_outer_ger_addr_legacy_tests_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 855 2022-12-01T10:49:09.3904244Z due to: 2022-12-01T10:49:09.3904335Z Traceback (most recent call last): 2022-12-01T10:49:09.3904493Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:49:09.3904600Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3904781Z RuntimeError: outer: Expected 1-D argument vec2, but got 0-D 2022-12-01T10:49:09.3904787Z 2022-12-01T10:49:09.3904922Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3904927Z 2022-12-01T10:49:09.3905016Z Traceback (most recent call last): 2022-12-01T10:49:09.3905161Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3905256Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3905363Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3905367Z 2022-12-01T10:49:09.3905436Z from user code: 2022-12-01T10:49:09.3905538Z File "test_linalg.py", line 855, in 2022-12-01T10:49:09.3905673Z self.assertRaises(RuntimeError, lambda: torch.outer(a, b)) 2022-12-01T10:49:09.3905678Z 2022-12-01T10:49:09.3905810Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3905859Z ========== 2022-12-01T10:49:09.3906078Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 856 2022-12-01T10:49:09.3906141Z due to: 2022-12-01T10:49:09.3906230Z Traceback (most recent call last): 2022-12-01T10:49:09.3906388Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:49:09.3906493Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3906671Z RuntimeError: outer: Expected 1-D argument self, but got 0-D 2022-12-01T10:49:09.3906677Z 2022-12-01T10:49:09.3906814Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3906819Z 2022-12-01T10:49:09.3906896Z Traceback (most recent call last): 2022-12-01T10:49:09.3907049Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3907146Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3907252Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3907256Z 2022-12-01T10:49:09.3907324Z from user code: 2022-12-01T10:49:09.3907425Z File "test_linalg.py", line 856, in 2022-12-01T10:49:09.3907554Z self.assertRaises(RuntimeError, lambda: torch.outer(b, a)) 2022-12-01T10:49:09.3907561Z 2022-12-01T10:49:09.3907690Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3907740Z ========== 2022-12-01T10:49:09.3907958Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 857 2022-12-01T10:49:09.3908024Z due to: 2022-12-01T10:49:09.3908114Z Traceback (most recent call last): 2022-12-01T10:49:09.3908269Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:49:09.3908373Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3908582Z RuntimeError: outer: Expected 1-D argument vec2, but got 0-D 2022-12-01T10:49:09.3908587Z 2022-12-01T10:49:09.3908720Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3908726Z 2022-12-01T10:49:09.3908802Z Traceback (most recent call last): 2022-12-01T10:49:09.3908956Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3909049Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3909155Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3909160Z 2022-12-01T10:49:09.3909227Z from user code: 2022-12-01T10:49:09.3909327Z File "test_linalg.py", line 857, in 2022-12-01T10:49:09.3909482Z self.assertRaises(RuntimeError, lambda: torch.ger(a, b)) 2022-12-01T10:49:09.3909488Z 2022-12-01T10:49:09.3909617Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3909667Z ========== 2022-12-01T10:49:09.3909884Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 858 2022-12-01T10:49:09.3909948Z due to: 2022-12-01T10:49:09.3910037Z Traceback (most recent call last): 2022-12-01T10:49:09.3910193Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:49:09.3910297Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3910475Z RuntimeError: outer: Expected 1-D argument self, but got 0-D 2022-12-01T10:49:09.3910480Z 2022-12-01T10:49:09.3910602Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3910619Z 2022-12-01T10:49:09.3910696Z Traceback (most recent call last): 2022-12-01T10:49:09.3910852Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3910946Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3911050Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3911054Z 2022-12-01T10:49:09.3911122Z from user code: 2022-12-01T10:49:09.3911222Z File "test_linalg.py", line 858, in 2022-12-01T10:49:09.3911351Z self.assertRaises(RuntimeError, lambda: torch.ger(b, a)) 2022-12-01T10:49:09.3911356Z 2022-12-01T10:49:09.3911475Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3911536Z ========== 2022-12-01T10:49:09.3911752Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 859 2022-12-01T10:49:09.3911816Z due to: 2022-12-01T10:49:09.3911905Z Traceback (most recent call last): 2022-12-01T10:49:09.3912119Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3912216Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3912392Z RuntimeError: outer: Expected 1-D argument vec2, but got 0-D 2022-12-01T10:49:09.3912396Z 2022-12-01T10:49:09.3912518Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3912523Z 2022-12-01T10:49:09.3912611Z Traceback (most recent call last): 2022-12-01T10:49:09.3912767Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3912862Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3912968Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3912973Z 2022-12-01T10:49:09.3913041Z from user code: 2022-12-01T10:49:09.3913141Z File "test_linalg.py", line 859, in 2022-12-01T10:49:09.3913271Z self.assertRaises(RuntimeError, lambda: torch.addr(m, a, b)) 2022-12-01T10:49:09.3913276Z 2022-12-01T10:49:09.3913393Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3913455Z ========== 2022-12-01T10:49:09.3913669Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 860 2022-12-01T10:49:09.3913733Z due to: 2022-12-01T10:49:09.3913822Z Traceback (most recent call last): 2022-12-01T10:49:09.3914033Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:49:09.3914129Z return self._op(*args, **kwargs or {}) 2022-12-01T10:49:09.3914325Z RuntimeError: outer: Expected 1-D argument self, but got 0-D 2022-12-01T10:49:09.3914342Z 2022-12-01T10:49:09.3914461Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3914466Z 2022-12-01T10:49:09.3914553Z Traceback (most recent call last): 2022-12-01T10:49:09.3914706Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3914801Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3914907Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3914912Z 2022-12-01T10:49:09.3914980Z from user code: 2022-12-01T10:49:09.3915077Z File "test_linalg.py", line 860, in 2022-12-01T10:49:09.3915226Z self.assertRaises(RuntimeError, lambda: torch.addr(m, b, a)) 2022-12-01T10:49:09.3915244Z 2022-12-01T10:49:09.3915362Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3915424Z ========== 2022-12-01T10:49:09.3915490Z ok (0.070s) 2022-12-01T10:49:09.3915863Z test_outer_type_promotion_cpu_bfloat16_bfloat16 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_outer_type_promotion test_linalg.py line 816 2022-12-01T10:49:09.3915928Z due to: 2022-12-01T10:49:09.3916018Z Traceback (most recent call last): 2022-12-01T10:49:09.3916171Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:49:09.3916410Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:49:09.3916709Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:49:09.3916714Z 2022-12-01T10:49:09.3916785Z from user code: 2022-12-01T10:49:09.3916908Z File "test_linalg.py", line 823, in test_outer_type_promotion 2022-12-01T10:49:09.3917037Z self.assertEqual(result.dtype, torch.result_type(a, b)) 2022-12-01T10:49:09.3917042Z 2022-12-01T10:49:09.3917172Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3917239Z ========== 2022-12-01T10:49:09.3917304Z ok (0.009s) 2022-12-01T10:49:09.3917442Z test_outer_type_promotion_cpu_bfloat16_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3917596Z test_outer_type_promotion_cpu_bfloat16_complex128 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3917747Z test_outer_type_promotion_cpu_bfloat16_complex64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3917896Z test_outer_type_promotion_cpu_bfloat16_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3918040Z test_outer_type_promotion_cpu_bfloat16_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3918188Z test_outer_type_promotion_cpu_bfloat16_float64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3918331Z test_outer_type_promotion_cpu_bfloat16_int16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3918473Z test_outer_type_promotion_cpu_bfloat16_int32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3918612Z test_outer_type_promotion_cpu_bfloat16_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3918745Z test_outer_type_promotion_cpu_bfloat16_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3918888Z test_outer_type_promotion_cpu_bfloat16_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3919031Z test_outer_type_promotion_cpu_bool_bfloat16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3919169Z test_outer_type_promotion_cpu_bool_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3919315Z test_outer_type_promotion_cpu_bool_complex128 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3919458Z test_outer_type_promotion_cpu_bool_complex64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3919599Z test_outer_type_promotion_cpu_bool_float16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3919737Z test_outer_type_promotion_cpu_bool_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3919894Z test_outer_type_promotion_cpu_bool_float64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3920032Z test_outer_type_promotion_cpu_bool_int16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3920170Z test_outer_type_promotion_cpu_bool_int32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3920304Z test_outer_type_promotion_cpu_bool_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3920438Z test_outer_type_promotion_cpu_bool_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3920597Z test_outer_type_promotion_cpu_bool_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3920745Z test_outer_type_promotion_cpu_complex128_bfloat16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3920890Z test_outer_type_promotion_cpu_complex128_bool (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3921034Z test_outer_type_promotion_cpu_complex128_complex128 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3921184Z test_outer_type_promotion_cpu_complex128_complex64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3921330Z test_outer_type_promotion_cpu_complex128_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3921474Z test_outer_type_promotion_cpu_complex128_float32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3921619Z test_outer_type_promotion_cpu_complex128_float64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3921763Z test_outer_type_promotion_cpu_complex128_int16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3921905Z test_outer_type_promotion_cpu_complex128_int32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3922045Z test_outer_type_promotion_cpu_complex128_int64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3922189Z test_outer_type_promotion_cpu_complex128_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3922323Z test_outer_type_promotion_cpu_complex128_uint8 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3922468Z test_outer_type_promotion_cpu_complex64_bfloat16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3922609Z test_outer_type_promotion_cpu_complex64_bool (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3922760Z test_outer_type_promotion_cpu_complex64_complex128 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3922908Z test_outer_type_promotion_cpu_complex64_complex64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3923055Z test_outer_type_promotion_cpu_complex64_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3923197Z test_outer_type_promotion_cpu_complex64_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3923338Z test_outer_type_promotion_cpu_complex64_float64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3923472Z test_outer_type_promotion_cpu_complex64_int16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3923616Z test_outer_type_promotion_cpu_complex64_int32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3923751Z test_outer_type_promotion_cpu_complex64_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3923893Z test_outer_type_promotion_cpu_complex64_int8 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3924034Z test_outer_type_promotion_cpu_complex64_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3924176Z test_outer_type_promotion_cpu_float16_bfloat16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3924317Z test_outer_type_promotion_cpu_float16_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3924465Z test_outer_type_promotion_cpu_float16_complex128 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3924609Z test_outer_type_promotion_cpu_float16_complex64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3924774Z test_outer_type_promotion_cpu_float16_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3924913Z test_outer_type_promotion_cpu_float16_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3925052Z test_outer_type_promotion_cpu_float16_float64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3925191Z test_outer_type_promotion_cpu_float16_int16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3925330Z test_outer_type_promotion_cpu_float16_int32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3925470Z test_outer_type_promotion_cpu_float16_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3925661Z test_outer_type_promotion_cpu_float16_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3925799Z test_outer_type_promotion_cpu_float16_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3925934Z test_outer_type_promotion_cpu_float32_bfloat16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3926075Z test_outer_type_promotion_cpu_float32_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3926219Z test_outer_type_promotion_cpu_float32_complex128 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3926363Z test_outer_type_promotion_cpu_float32_complex64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3926502Z test_outer_type_promotion_cpu_float32_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3926643Z test_outer_type_promotion_cpu_float32_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3926787Z test_outer_type_promotion_cpu_float32_float64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3926924Z test_outer_type_promotion_cpu_float32_int16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3927195Z test_outer_type_promotion_cpu_float32_int32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3927325Z test_outer_type_promotion_cpu_float32_int64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3927464Z test_outer_type_promotion_cpu_float32_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3927603Z test_outer_type_promotion_cpu_float32_uint8 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3927745Z test_outer_type_promotion_cpu_float64_bfloat16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3927966Z test_outer_type_promotion_cpu_float64_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3928116Z test_outer_type_promotion_cpu_float64_complex128 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3928264Z test_outer_type_promotion_cpu_float64_complex64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3928404Z test_outer_type_promotion_cpu_float64_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3928536Z test_outer_type_promotion_cpu_float64_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3928678Z test_outer_type_promotion_cpu_float64_float64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3928814Z test_outer_type_promotion_cpu_float64_int16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3928950Z test_outer_type_promotion_cpu_float64_int32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3929090Z test_outer_type_promotion_cpu_float64_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3929226Z test_outer_type_promotion_cpu_float64_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3929362Z test_outer_type_promotion_cpu_float64_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3929505Z test_outer_type_promotion_cpu_int16_bfloat16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3929842Z test_outer_type_promotion_cpu_int16_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3929975Z test_outer_type_promotion_cpu_int16_complex128 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3930177Z test_outer_type_promotion_cpu_int16_complex64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3930315Z test_outer_type_promotion_cpu_int16_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3930448Z test_outer_type_promotion_cpu_int16_float32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3930587Z test_outer_type_promotion_cpu_int16_float64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3930727Z test_outer_type_promotion_cpu_int16_int16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3930860Z test_outer_type_promotion_cpu_int16_int32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3931041Z test_outer_type_promotion_cpu_int16_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3931171Z test_outer_type_promotion_cpu_int16_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3931305Z test_outer_type_promotion_cpu_int16_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3931450Z test_outer_type_promotion_cpu_int32_bfloat16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3931585Z test_outer_type_promotion_cpu_int32_bool (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3931727Z test_outer_type_promotion_cpu_int32_complex128 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3931867Z test_outer_type_promotion_cpu_int32_complex64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3932002Z test_outer_type_promotion_cpu_int32_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3932140Z test_outer_type_promotion_cpu_int32_float32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3932269Z test_outer_type_promotion_cpu_int32_float64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3932405Z test_outer_type_promotion_cpu_int32_int16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3932541Z test_outer_type_promotion_cpu_int32_int32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3932675Z test_outer_type_promotion_cpu_int32_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3932811Z test_outer_type_promotion_cpu_int32_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3932943Z test_outer_type_promotion_cpu_int32_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3933082Z test_outer_type_promotion_cpu_int64_bfloat16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3933218Z test_outer_type_promotion_cpu_int64_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3933360Z test_outer_type_promotion_cpu_int64_complex128 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3933495Z test_outer_type_promotion_cpu_int64_complex64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3933630Z test_outer_type_promotion_cpu_int64_float16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3933767Z test_outer_type_promotion_cpu_int64_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3933906Z test_outer_type_promotion_cpu_int64_float64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3934041Z test_outer_type_promotion_cpu_int64_int16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3934175Z test_outer_type_promotion_cpu_int64_int32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3934305Z test_outer_type_promotion_cpu_int64_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3934442Z test_outer_type_promotion_cpu_int64_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3934564Z test_outer_type_promotion_cpu_int64_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3934702Z test_outer_type_promotion_cpu_int8_bfloat16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3934840Z test_outer_type_promotion_cpu_int8_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3934982Z test_outer_type_promotion_cpu_int8_complex128 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3935156Z test_outer_type_promotion_cpu_int8_complex64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3935294Z test_outer_type_promotion_cpu_int8_float16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3935427Z test_outer_type_promotion_cpu_int8_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3935564Z test_outer_type_promotion_cpu_int8_float64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3935690Z test_outer_type_promotion_cpu_int8_int16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3935856Z test_outer_type_promotion_cpu_int8_int32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3935989Z test_outer_type_promotion_cpu_int8_int64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3936126Z test_outer_type_promotion_cpu_int8_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3936255Z test_outer_type_promotion_cpu_int8_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3936397Z test_outer_type_promotion_cpu_uint8_bfloat16 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3936530Z test_outer_type_promotion_cpu_uint8_bool (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3936674Z test_outer_type_promotion_cpu_uint8_complex128 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3936816Z test_outer_type_promotion_cpu_uint8_complex64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3936946Z test_outer_type_promotion_cpu_uint8_float16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3937081Z test_outer_type_promotion_cpu_uint8_float32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3937217Z test_outer_type_promotion_cpu_uint8_float64 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3937355Z test_outer_type_promotion_cpu_uint8_int16 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3937490Z test_outer_type_promotion_cpu_uint8_int32 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3937623Z test_outer_type_promotion_cpu_uint8_int64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3937759Z test_outer_type_promotion_cpu_uint8_int8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3937896Z test_outer_type_promotion_cpu_uint8_uint8 (__main__.TestLinalgCPU) ... ok (0.001s) 2022-12-01T10:49:09.3938005Z test_pca_lowrank_cpu (__main__.TestLinalgCPU) ... ok (2.400s) 2022-12-01T10:49:09.3938125Z test_permute_matmul_cpu (__main__.TestLinalgCPU) ... ok (0.015s) 2022-12-01T10:49:09.3938244Z test_pinv_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.379s) 2022-12-01T10:49:09.3938365Z test_pinv_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.124s) 2022-12-01T10:49:09.3938480Z test_pinv_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.109s) 2022-12-01T10:49:09.3938595Z test_pinv_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.103s) 2022-12-01T10:49:09.3938736Z test_pinv_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.042s) 2022-12-01T10:49:09.3938875Z test_pinv_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.033s) 2022-12-01T10:49:09.3939004Z test_pinv_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.033s) 2022-12-01T10:49:09.3939136Z test_pinv_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.033s) 2022-12-01T10:49:09.3939261Z test_pinverse_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.300s) 2022-12-01T10:49:09.3939386Z test_pinverse_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.019s) 2022-12-01T10:49:09.3939506Z test_pinverse_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3939628Z test_pinverse_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.016s) 2022-12-01T10:49:09.3939787Z test_preferred_linalg_library_cpu (__main__.TestLinalgCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:49:09.3939903Z test_qr_batched_cpu_complex128 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3940073Z test torch.linalg.qr vs numpy.linalg.qr. We need some special logic ... ok (0.021s) 2022-12-01T10:49:09.3940188Z test_qr_batched_cpu_complex64 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3940332Z test torch.linalg.qr vs numpy.linalg.qr. We need some special logic ... ok (0.018s) 2022-12-01T10:49:09.3940443Z test_qr_batched_cpu_float32 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3940588Z test torch.linalg.qr vs numpy.linalg.qr. We need some special logic ... ok (0.018s) 2022-12-01T10:49:09.3940696Z test_qr_batched_cpu_float64 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3940838Z test torch.linalg.qr vs numpy.linalg.qr. We need some special logic ... ok (0.017s) 2022-12-01T10:49:09.3941167Z test_qr_cpu_complex128 (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. 2022-12-01T10:49:09.3941383Z The boolean parameter 'some' has been replaced with a string parameter 'mode'. 2022-12-01T10:49:09.3941457Z Q, R = torch.qr(A, some) 2022-12-01T10:49:09.3941532Z should be replaced with 2022-12-01T10:49:09.3941887Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2367.) 2022-12-01T10:49:09.3941988Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3942049Z ok (0.847s) 2022-12-01T10:49:09.3942169Z test_qr_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.041s) 2022-12-01T10:49:09.3942283Z test_qr_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.036s) 2022-12-01T10:49:09.3942391Z test_qr_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.035s) 2022-12-01T10:49:09.3942516Z test_qr_error_cases_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.018s) 2022-12-01T10:49:09.3942629Z test_qr_vs_numpy_cpu_complex128 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3942741Z test torch.linalg.qr vs numpy.linalg.qr ... ok (0.029s) 2022-12-01T10:49:09.3942855Z test_qr_vs_numpy_cpu_complex64 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3942972Z test torch.linalg.qr vs numpy.linalg.qr ... ok (0.007s) 2022-12-01T10:49:09.3943083Z test_qr_vs_numpy_cpu_float32 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3943184Z test torch.linalg.qr vs numpy.linalg.qr ... ok (0.006s) 2022-12-01T10:49:09.3943292Z test_qr_vs_numpy_cpu_float64 (__main__.TestLinalgCPU) 2022-12-01T10:49:09.3943404Z test torch.linalg.qr vs numpy.linalg.qr ... ok (0.006s) 2022-12-01T10:49:09.3943706Z test_renorm_cpu (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_renorm test_linalg.py line 4422 2022-12-01T10:49:09.3943769Z due to: 2022-12-01T10:49:09.3943860Z Traceback (most recent call last): 2022-12-01T10:49:09.3944014Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:49:09.3944262Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:49:09.3944449Z AssertionError: torch.* op returned non-Tensor int call_method nelement 2022-12-01T10:49:09.3944456Z 2022-12-01T10:49:09.3944524Z from user code: 2022-12-01T10:49:09.3944629Z File "test_linalg.py", line 4441, in test_renorm 2022-12-01T10:49:09.3944709Z m2 = renorm(m1, 2, 1, maxnorm) 2022-12-01T10:49:09.3944714Z 2022-12-01T10:49:09.3944844Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3944904Z ========== 2022-12-01T10:49:09.3945119Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT renorm test_linalg.py line 4426 2022-12-01T10:49:09.3945183Z due to: 2022-12-01T10:49:09.3945260Z Traceback (most recent call last): 2022-12-01T10:49:09.3945412Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:49:09.3945662Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:49:09.3945856Z AssertionError: torch.* op returned non-Tensor int call_method nelement 2022-12-01T10:49:09.3945892Z 2022-12-01T10:49:09.3945959Z from user code: 2022-12-01T10:49:09.3946058Z File "test_linalg.py", line 4429, in renorm 2022-12-01T10:49:09.3946194Z m2 = m1.clone().resize_(m1.size(0), int(math.floor(m1.nelement() / m1.size(0)))) 2022-12-01T10:49:09.3946199Z 2022-12-01T10:49:09.3946327Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3946378Z ========== 2022-12-01T10:49:09.3946440Z ok (0.014s) 2022-12-01T10:49:09.3946557Z test_renorm_ps_cpu (__main__.TestLinalgCPU) ... ok (0.014s) 2022-12-01T10:49:09.3946685Z test_slogdet_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.218s) 2022-12-01T10:49:09.3946840Z test_slogdet_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.053s) 2022-12-01T10:49:09.3946966Z test_slogdet_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.050s) 2022-12-01T10:49:09.3947086Z test_slogdet_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.048s) 2022-12-01T10:49:09.3947226Z test_slogdet_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.036s) 2022-12-01T10:49:09.3947378Z test_slogdet_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3947525Z test_slogdet_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3947668Z test_slogdet_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3947820Z test_solve_batched_broadcasting_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.181s) 2022-12-01T10:49:09.3947969Z test_solve_batched_broadcasting_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.093s) 2022-12-01T10:49:09.3948116Z test_solve_batched_broadcasting_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.008s) 2022-12-01T10:49:09.3948262Z test_solve_batched_broadcasting_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.007s) 2022-12-01T10:49:09.3948386Z test_solve_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.404s) 2022-12-01T10:49:09.3948500Z test_solve_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.036s) 2022-12-01T10:49:09.3948617Z test_solve_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3948739Z test_solve_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.030s) 2022-12-01T10:49:09.3948871Z test_solve_removed_error_cpu (__main__.TestLinalgCPU) ... ok (0.022s) 2022-12-01T10:49:09.3949000Z test_strided_mm_bmm_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3949128Z test_strided_mm_bmm_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3949465Z test_svd_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 2396 2022-12-01T10:49:09.3949528Z due to: 2022-12-01T10:49:09.3949606Z Traceback (most recent call last): 2022-12-01T10:49:09.3949761Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:49:09.3950008Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:49:09.3950312Z AssertionError: torch.* op returned non-Tensor _LinalgBackend call_function 2022-12-01T10:49:09.3950318Z 2022-12-01T10:49:09.3950387Z from user code: 2022-12-01T10:49:09.3950507Z File "test_linalg.py", line 2411, in 2022-12-01T10:49:09.3950643Z torch.backends.cuda.preferred_linalg_library(backend) 2022-12-01T10:49:09.3950649Z 2022-12-01T10:49:09.3950778Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3950829Z ========== 2022-12-01T10:49:09.3950894Z ok (0.188s) 2022-12-01T10:49:09.3951017Z test_svd_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.140s) 2022-12-01T10:49:09.3951136Z test_svd_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.124s) 2022-12-01T10:49:09.3951254Z test_svd_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.118s) 2022-12-01T10:49:09.3951383Z test_svd_lowrank_cpu_float64 (__main__.TestLinalgCPU) ... ok (3.546s) 2022-12-01T10:49:09.3951563Z test_svd_memory_allocation_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.326s) 2022-12-01T10:49:09.3951694Z test_svd_memory_allocation_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.181s) 2022-12-01T10:49:09.3951832Z test_svd_memory_allocation_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.092s) 2022-12-01T10:49:09.3951969Z test_svd_memory_allocation_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.118s) 2022-12-01T10:49:09.3952102Z test_svd_nan_error_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.035s) 2022-12-01T10:49:09.3952234Z test_svd_nan_error_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.026s) 2022-12-01T10:49:09.3952392Z test_svd_nan_error_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.026s) 2022-12-01T10:49:09.3952519Z test_svd_nan_error_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.027s) 2022-12-01T10:49:09.3952838Z test_symeig_cpu_complex128 (__main__.TestLinalgCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-12-01T10:49:09.3953055Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-12-01T10:49:09.3953136Z L, _ = torch.symeig(A, upper=upper) 2022-12-01T10:49:09.3953215Z should be replaced with 2022-12-01T10:49:09.3953390Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-12-01T10:49:09.3953450Z and 2022-12-01T10:49:09.3953550Z L, V = torch.symeig(A, eigenvectors=True) 2022-12-01T10:49:09.3953627Z should be replaced with 2022-12-01T10:49:09.3953978Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2824.) 2022-12-01T10:49:09.3954073Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3954634Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3954743Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3955255Z :7: UserWarning: An output with one or more elements was resized since it had shape [5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3955816Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3955920Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3956429Z :7: UserWarning: An output with one or more elements was resized since it had shape [5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3957013Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3957117Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3957670Z :7: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3958248Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3958343Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3958844Z :7: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3959375Z test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3959511Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3960026Z test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [5, 3, 5, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3960169Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3960234Z ok (1.079s) 2022-12-01T10:49:09.3960803Z test_symeig_cpu_complex64 (__main__.TestLinalgCPU) ... test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3960983Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3961494Z test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3961669Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3962184Z test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3962328Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3962845Z test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [5, 3, 5, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3962988Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3963055Z ok (0.053s) 2022-12-01T10:49:09.3963619Z test_symeig_cpu_float32 (__main__.TestLinalgCPU) ... test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3963763Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3964273Z test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3964417Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3964927Z test_linalg.py:7012: UserWarning: An output with one or more elements was resized since it had shape [3, 5, 5, 5], which does not match the required output shape [0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:49:09.3965070Z torch.symeig(x, eigenvectors=eigenvectors, upper=upper, out=(oute, outv)) 2022-12-01T10:49:09.3965135Z ok (0.024s) 2022-12-01T10:49:09.3965259Z test_symeig_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.024s) 2022-12-01T10:49:09.3965694Z test_symeig_out_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 7056 2022-12-01T10:49:09.3965759Z due to: 2022-12-01T10:49:09.3965846Z Traceback (most recent call last): 2022-12-01T10:49:09.3965998Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3966085Z return n.meta["example_value"] 2022-12-01T10:49:09.3966199Z KeyError: 'example_value' 2022-12-01T10:49:09.3966205Z 2022-12-01T10:49:09.3966273Z from user code: 2022-12-01T10:49:09.3966462Z File "test_linalg.py", line 7058, in 2022-12-01T10:49:09.3966573Z out_w = torch.empty(7, 7, dtype=real_dtype, device=device) 2022-12-01T10:49:09.3966578Z 2022-12-01T10:49:09.3966708Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3966769Z ========== 2022-12-01T10:49:09.3966835Z ok (0.025s) 2022-12-01T10:49:09.3967124Z test_symeig_out_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3967305Z test_symeig_out_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3967456Z test_symeig_out_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.016s) 2022-12-01T10:49:09.3967564Z test_tensordot_cpu (__main__.TestLinalgCPU) ... ok (0.193s) 2022-12-01T10:49:09.3967694Z test_tensorinv_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.283s) 2022-12-01T10:49:09.3967886Z test_tensorinv_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.010s) 2022-12-01T10:49:09.3968019Z test_tensorinv_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3968145Z test_tensorinv_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.008s) 2022-12-01T10:49:09.3968281Z test_tensorinv_empty_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.009s) 2022-12-01T10:49:09.3968418Z test_tensorinv_empty_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3968553Z test_tensorinv_empty_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3968672Z test_tensorinv_empty_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.002s) 2022-12-01T10:49:09.3968825Z test_tensorinv_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.391s) 2022-12-01T10:49:09.3968978Z test_tensorinv_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.199s) 2022-12-01T10:49:09.3969126Z test_tensorinv_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.192s) 2022-12-01T10:49:09.3969274Z test_tensorinv_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.191s) 2022-12-01T10:49:09.3969421Z test_tensorinv_singular_input_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.067s) 2022-12-01T10:49:09.3969569Z test_tensorinv_singular_input_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.035s) 2022-12-01T10:49:09.3969715Z test_tensorinv_singular_input_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.035s) 2022-12-01T10:49:09.3969855Z test_tensorinv_singular_input_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.035s) 2022-12-01T10:49:09.3969976Z test_tensorsolve_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.186s) 2022-12-01T10:49:09.3970108Z test_tensorsolve_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.153s) 2022-12-01T10:49:09.3970237Z test_tensorsolve_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.005s) 2022-12-01T10:49:09.3970367Z test_tensorsolve_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.004s) 2022-12-01T10:49:09.3970506Z test_tensorsolve_empty_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.014s) 2022-12-01T10:49:09.3970646Z test_tensorsolve_empty_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3970782Z test_tensorsolve_empty_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3970913Z test_tensorsolve_empty_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3971111Z test_tensorsolve_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.040s) 2022-12-01T10:49:09.3971492Z test_triangular_solve_batched_broadcasting_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT run_test test_linalg.py line 4229 2022-12-01T10:49:09.3971556Z due to: 2022-12-01T10:49:09.3971647Z Traceback (most recent call last): 2022-12-01T10:49:09.3971805Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3971893Z return n.meta["example_value"] 2022-12-01T10:49:09.3972007Z KeyError: 'example_value' 2022-12-01T10:49:09.3972012Z 2022-12-01T10:49:09.3972118Z from user code: 2022-12-01T10:49:09.3972210Z File "test_linalg.py", line 4231, in run_test 2022-12-01T10:49:09.3972300Z unitriangular, device, dtype) 2022-12-01T10:49:09.3972305Z 2022-12-01T10:49:09.3972436Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3972503Z ========== 2022-12-01T10:49:09.3972760Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT triangular_solve_test_helper test_linalg.py line 4098 2022-12-01T10:49:09.3972824Z due to: 2022-12-01T10:49:09.3972911Z Traceback (most recent call last): 2022-12-01T10:49:09.3973053Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3973138Z return n.meta["example_value"] 2022-12-01T10:49:09.3973246Z KeyError: 'example_value' 2022-12-01T10:49:09.3973251Z 2022-12-01T10:49:09.3973319Z from user code: 2022-12-01T10:49:09.3973447Z File "test_linalg.py", line 4104, in triangular_solve_test_helper 2022-12-01T10:49:09.3973526Z A = torch.matmul(A, A.mT) 2022-12-01T10:49:09.3973534Z 2022-12-01T10:49:09.3973664Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3973727Z ========== 2022-12-01T10:49:09.3973989Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linalg.py line 4218 2022-12-01T10:49:09.3974052Z due to: 2022-12-01T10:49:09.3974141Z Traceback (most recent call last): 2022-12-01T10:49:09.3974297Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:49:09.3974402Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:49:09.3974515Z RuntimeError: expected a torch.Size as argument 1 2022-12-01T10:49:09.3974520Z 2022-12-01T10:49:09.3974652Z The above exception was the direct cause of the following exception: 2022-12-01T10:49:09.3974657Z 2022-12-01T10:49:09.3974744Z Traceback (most recent call last): 2022-12-01T10:49:09.3974886Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:49:09.3974982Z raise TorchRuntimeError() from e 2022-12-01T10:49:09.3975088Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:49:09.3975093Z 2022-12-01T10:49:09.3975159Z from user code: 2022-12-01T10:49:09.3975296Z File "test_linalg.py", line 4220, in 2022-12-01T10:49:09.3975380Z torch.Size(batch_dims_B))) 2022-12-01T10:49:09.3975385Z 2022-12-01T10:49:09.3975510Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3975561Z ========== 2022-12-01T10:49:09.3975802Z test_linalg.py:4234: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release. 2022-12-01T10:49:09.3975980Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs. 2022-12-01T10:49:09.3976080Z X = torch.triangular_solve(B, A).solution 2022-12-01T10:49:09.3976158Z should be replaced with 2022-12-01T10:49:09.3976390Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2121.) 2022-12-01T10:49:09.3976566Z x = torch.triangular_solve(b, A, upper=upper, transpose=transpose, unitriangular=unitriangular)[0] 2022-12-01T10:49:09.3976632Z ok (0.101s) 2022-12-01T10:49:09.3976830Z test_triangular_solve_batched_broadcasting_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.022s) 2022-12-01T10:49:09.3976981Z test_triangular_solve_batched_broadcasting_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.021s) 2022-12-01T10:49:09.3977140Z test_triangular_solve_batched_broadcasting_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.021s) 2022-12-01T10:49:09.3977519Z test_triangular_solve_batched_cpu_complex128 (__main__.TestLinalgCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT triangular_solve_batch_helper test_linalg.py line 4134 2022-12-01T10:49:09.3977579Z due to: 2022-12-01T10:49:09.3977673Z Traceback (most recent call last): 2022-12-01T10:49:09.3977856Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3977945Z return n.meta["example_value"] 2022-12-01T10:49:09.3978057Z KeyError: 'example_value' 2022-12-01T10:49:09.3978063Z 2022-12-01T10:49:09.3978120Z from user code: 2022-12-01T10:49:09.3978251Z File "test_linalg.py", line 4136, in triangular_solve_batch_helper 2022-12-01T10:49:09.3978339Z unitriangular, device, dtype) 2022-12-01T10:49:09.3978344Z 2022-12-01T10:49:09.3978474Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3978535Z ========== 2022-12-01T10:49:09.3978801Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT triangular_solve_zero_batch_helper test_linalg.py line 4153 2022-12-01T10:49:09.3978864Z due to: 2022-12-01T10:49:09.3978940Z Traceback (most recent call last): 2022-12-01T10:49:09.3979092Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:49:09.3979176Z return n.meta["example_value"] 2022-12-01T10:49:09.3979289Z KeyError: 'example_value' 2022-12-01T10:49:09.3979294Z 2022-12-01T10:49:09.3979364Z from user code: 2022-12-01T10:49:09.3979497Z File "test_linalg.py", line 4155, in triangular_solve_zero_batch_helper 2022-12-01T10:49:09.3979586Z unitriangular, device, dtype) 2022-12-01T10:49:09.3979593Z 2022-12-01T10:49:09.3979719Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:49:09.3979769Z ========== 2022-12-01T10:49:09.3979834Z ok (0.042s) 2022-12-01T10:49:09.3979982Z test_triangular_solve_batched_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.014s) 2022-12-01T10:49:09.3980126Z test_triangular_solve_batched_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.013s) 2022-12-01T10:49:09.3980268Z test_triangular_solve_batched_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.013s) 2022-12-01T10:49:09.3980498Z test_triangular_solve_batched_many_batches_cpu_complex128 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:49:09.3980726Z test_triangular_solve_batched_many_batches_cpu_complex64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:49:09.3980945Z test_triangular_solve_batched_many_batches_cpu_float32 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:49:09.3981170Z test_triangular_solve_batched_many_batches_cpu_float64 (__main__.TestLinalgCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:49:09.3981298Z test_triangular_solve_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.017s) 2022-12-01T10:49:09.3981434Z test_triangular_solve_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3981568Z test_triangular_solve_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.012s) 2022-12-01T10:49:09.3981703Z test_triangular_solve_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.011s) 2022-12-01T10:49:09.3981870Z test_triangular_solve_out_errors_and_warnings_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.038s) 2022-12-01T10:49:09.3982035Z test_triangular_solve_out_errors_and_warnings_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3982195Z test_triangular_solve_out_errors_and_warnings_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3982384Z test_triangular_solve_out_errors_and_warnings_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.032s) 2022-12-01T10:49:09.3982501Z test_vdot_invalid_args_cpu (__main__.TestLinalgCPU) ... ok (0.069s) 2022-12-01T10:49:09.3982632Z test_vdot_vs_numpy_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.043s) 2022-12-01T10:49:09.3982758Z test_vdot_vs_numpy_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.041s) 2022-12-01T10:49:09.3982883Z test_vector_norm_cpu_bfloat16 (__main__.TestLinalgCPU) ... ok (1.064s) 2022-12-01T10:49:09.3983013Z test_vector_norm_cpu_complex128 (__main__.TestLinalgCPU) ... ok (0.691s) 2022-12-01T10:49:09.3983169Z test_vector_norm_cpu_complex64 (__main__.TestLinalgCPU) ... ok (0.941s) 2022-12-01T10:49:09.3983297Z test_vector_norm_cpu_float16 (__main__.TestLinalgCPU) ... ok (0.932s) 2022-12-01T10:49:09.3983424Z test_vector_norm_cpu_float32 (__main__.TestLinalgCPU) ... ok (0.925s) 2022-12-01T10:49:09.3983540Z test_vector_norm_cpu_float64 (__main__.TestLinalgCPU) ... ok (0.610s) 2022-12-01T10:49:09.3983675Z test_vector_norm_dim_tuple_arg_cpu (__main__.TestLinalgCPU) ... ok (0.052s) 2022-12-01T10:49:09.3984065Z test_vector_norm_extreme_values_cpu (__main__.TestLinalgCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/linalg/linalg.py:2516: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:49:09.3984133Z ret **= (1 / ord) 2022-12-01T10:49:09.3984423Z /opt/conda/lib/python3.7/site-packages/numpy/linalg/linalg.py:2514: RuntimeWarning: divide by zero encountered in reciprocal 2022-12-01T10:49:09.3984491Z absx **= ord 2022-12-01T10:49:09.3984775Z /opt/conda/lib/python3.7/site-packages/numpy/linalg/linalg.py:2514: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:49:09.3984839Z absx **= ord 2022-12-01T10:49:09.3984891Z ok (0.037s) 2022-12-01T10:49:09.3984906Z 2022-12-01T10:49:09.3985094Z ---------------------------------------------------------------------- 2022-12-01T10:49:09.3985173Z Ran 741 tests in 127.933s 2022-12-01T10:49:09.3985178Z 2022-12-01T10:49:09.3985250Z OK (skipped=62) 2022-12-01T10:49:09.3985254Z 2022-12-01T10:49:09.3985334Z Generating XML reports... 2022-12-01T10:49:09.3985607Z Generated XML report: test-reports/python-unittest/test_linalg/TEST-TestLinalgCPU-20221201104700.xml 2022-12-01T10:49:09.3985612Z 2022-12-01T10:49:09.3985919Z ##[endgroup] 2022-12-01T10:49:09.3986174Z FINISHED PRINTING LOG FILE of test_linalg (/var/lib/jenkins/workspace/test/test-reports/test_linalg_yp7u3bnv) 2022-12-01T10:49:09.3986192Z 2022-12-01T10:49:09.3986330Z Running test_torch ... [2022-12-01 10:49:09.343174] 2022-12-01T10:49:09.3986653Z Executing ['/opt/conda/bin/python', '-bb', 'test_torch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:49:09.343480] 2022-12-01T10:50:32.6523028Z 2022-12-01T10:50:32.6523499Z Expand the folded group to see the log file of test_torch 2022-12-01T10:50:32.6568658Z ##[group]PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_jlabuyr2) 2022-12-01T10:50:32.6569530Z Test results will be stored in test-reports/python-unittest/test_torch 2022-12-01T10:50:32.6569866Z 2022-12-01T10:50:32.6569970Z Running tests... 2022-12-01T10:50:32.6570521Z ---------------------------------------------------------------------- 2022-12-01T10:50:32.6571005Z test_basic_vitals (__main__.TestBasicVitalSigns) ... ok (0.009s) 2022-12-01T10:50:32.6571305Z test_basic_vitals_read_write (__main__.TestBasicVitalSigns) ... ok (0.006s) 2022-12-01T10:50:32.6571606Z test_dataloader_vitals (__main__.TestBasicVitalSigns) ... ok (0.007s) 2022-12-01T10:50:32.6572033Z test_RNGState (__main__.TestTorch) ... skip: requires https://github.com/pytorch/torchdynamo/pull/1098 (0.002s) 2022-12-01T10:50:32.6572481Z test_RNGStateAliasing (__main__.TestTorch) ... skip: requires https://github.com/pytorch/torchdynamo/pull/1098 (0.001s) 2022-12-01T10:50:32.6573165Z test_RNG_after_pickle (__main__.TestTorch) ... skip: requires https://github.com/pytorch/torchdynamo/pull/1098 (0.001s) 2022-12-01T10:50:32.6574089Z test_Size (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6858 2022-12-01T10:50:32.6574566Z due to: 2022-12-01T10:50:32.6574915Z Traceback (most recent call last): 2022-12-01T10:50:32.6575430Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6575970Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6576556Z TypeError: torch.Size() takes an iterable of 'int' (item 0 is 'FakeTensor') 2022-12-01T10:50:32.6576729Z 2022-12-01T10:50:32.6576789Z from user code: 2022-12-01T10:50:32.6577066Z File "test_torch.py", line 6858, in 2022-12-01T10:50:32.6577337Z self.assertRaises(TypeError, lambda: torch.Size(torch.ones(3))) 2022-12-01T10:50:32.6577505Z 2022-12-01T10:50:32.6577637Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6577847Z ========== 2022-12-01T10:50:32.6578005Z ok (0.127s) 2022-12-01T10:50:32.6578219Z test_Size_iter (__main__.TestTorch) ... ok (0.010s) 2022-12-01T10:50:32.6578452Z test_Size_scalar (__main__.TestTorch) ... ok (0.007s) 2022-12-01T10:50:32.6578908Z test_add_meta_scalar (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_add_meta_scalar test_torch.py line 7229 2022-12-01T10:50:32.6579199Z due to: 2022-12-01T10:50:32.6579369Z Traceback (most recent call last): 2022-12-01T10:50:32.6579746Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6581156Z assert device.type != "meta" 2022-12-01T10:50:32.6581402Z AssertionError 2022-12-01T10:50:32.6581579Z 2022-12-01T10:50:32.6581690Z from user code: 2022-12-01T10:50:32.6582070Z File "test_torch.py", line 7231, in test_add_meta_scalar 2022-12-01T10:50:32.6582534Z x = torch.empty(2, device='meta') 2022-12-01T10:50:32.6582749Z 2022-12-01T10:50:32.6582952Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6583176Z ========== 2022-12-01T10:50:32.6583323Z ok (0.003s) 2022-12-01T10:50:32.6583548Z test_allow_tensor_metadata_change (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6583811Z test_apply (__main__.TestTorch) ... ok (0.018s) 2022-12-01T10:50:32.6584067Z test_as_subclass (__main__.TestTorch) ... ok (0.012s) 2022-12-01T10:50:32.6584302Z test_assert_async (__main__.TestTorch) ... ok (0.085s) 2022-12-01T10:50:32.6584615Z test_backward_hooks_traverse (__main__.TestTorch) ... skip: TorchDynamo does not work well with hooks (0.001s) 2022-12-01T10:50:32.6584939Z test_batch_norm_cpu_inference (__main__.TestTorch) ... ok (0.033s) 2022-12-01T10:50:32.6585425Z test_bmm_multithreaded (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_bmm_multithreaded test_torch.py line 8251 2022-12-01T10:50:32.6585710Z due to: 2022-12-01T10:50:32.6585895Z Traceback (most recent call last): 2022-12-01T10:50:32.6586179Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6586597Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6587040Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:50:32.6587238Z 2022-12-01T10:50:32.6587309Z from user code: 2022-12-01T10:50:32.6587530Z File "test_torch.py", line 8254, in test_bmm_multithreaded 2022-12-01T10:50:32.6587761Z num_threads = torch.get_num_threads() 2022-12-01T10:50:32.6587891Z 2022-12-01T10:50:32.6588022Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6588239Z ========== 2022-12-01T10:50:32.6588845Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6589600Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6590273Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6590863Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6591479Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6592073Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6592700Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6593287Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6593900Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6594489Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6595113Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6595703Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6596317Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6596893Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6597513Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6598119Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6598779Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6609508Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6610222Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6610842Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6611622Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6612535Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6613364Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6613953Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6614585Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6615178Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6615802Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6616395Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6617023Z test_torch.py:8295: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.6617749Z torch.bmm(b1, b2, out=res2) 2022-12-01T10:50:32.6617915Z ok (0.616s) 2022-12-01T10:50:32.6618220Z test_boxMullerState (__main__.TestTorch) ... skip: requires https://github.com/pytorch/torchdynamo/pull/1098 (0.001s) 2022-12-01T10:50:32.6618596Z test_c10_layer_norm (__main__.TestTorch) ... skip: Pytorch is compiled without Caffe2 (0.001s) 2022-12-01T10:50:32.6618874Z test_cat_neg_dim (__main__.TestTorch) ... ok (0.044s) 2022-12-01T10:50:32.6619124Z test_chunk_neg_dim (__main__.TestTorch) ... ok (0.038s) 2022-12-01T10:50:32.6619668Z test_conj_neg_tolist (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:50:32.6619933Z due to: 2022-12-01T10:50:32.6620120Z Traceback (most recent call last): 2022-12-01T10:50:32.6620520Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:50:32.6620872Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:50:32.6621208Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:50:32.6621419Z 2022-12-01T10:50:32.6621554Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6621720Z 2022-12-01T10:50:32.6621813Z Traceback (most recent call last): 2022-12-01T10:50:32.6622082Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:50:32.6622325Z ) from e 2022-12-01T10:50:32.6622661Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:50:32.6622917Z 2022-12-01T10:50:32.6623049Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6623254Z ========== 2022-12-01T10:50:32.6623614Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 8308 2022-12-01T10:50:32.6623881Z due to: 2022-12-01T10:50:32.6624051Z Traceback (most recent call last): 2022-12-01T10:50:32.6624436Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:50:32.6624778Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:50:32.6625126Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:50:32.6625319Z 2022-12-01T10:50:32.6625454Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6625618Z 2022-12-01T10:50:32.6625709Z Traceback (most recent call last): 2022-12-01T10:50:32.6625988Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:50:32.6626218Z ) from e 2022-12-01T10:50:32.6626546Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:50:32.6626803Z 2022-12-01T10:50:32.6626935Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6627151Z ========== 2022-12-01T10:50:32.6627296Z ok (0.010s) 2022-12-01T10:50:32.6627682Z test_contains (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5902 2022-12-01T10:50:32.6627957Z due to: 2022-12-01T10:50:32.6628127Z Traceback (most recent call last): 2022-12-01T10:50:32.6628475Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 986, in __contains__ 2022-12-01T10:50:32.6628723Z % type(element) 2022-12-01T10:50:32.6629060Z RuntimeError: Tensor.__contains__ only supports Tensor or scalar, but you passed in a . 2022-12-01T10:50:32.6629253Z 2022-12-01T10:50:32.6629390Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6629553Z 2022-12-01T10:50:32.6629643Z Traceback (most recent call last): 2022-12-01T10:50:32.6629917Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6630217Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6630451Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6630595Z 2022-12-01T10:50:32.6630664Z from user code: 2022-12-01T10:50:32.6630853Z File "test_torch.py", line 5902, in 2022-12-01T10:50:32.6631055Z lambda: "foo" in x) 2022-12-01T10:50:32.6631168Z 2022-12-01T10:50:32.6631300Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6631505Z ========== 2022-12-01T10:50:32.6631818Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5906 2022-12-01T10:50:32.6632060Z due to: 2022-12-01T10:50:32.6632261Z Traceback (most recent call last): 2022-12-01T10:50:32.6632617Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 986, in __contains__ 2022-12-01T10:50:32.6632870Z % type(element) 2022-12-01T10:50:32.6633291Z RuntimeError: Tensor.__contains__ only supports Tensor or scalar, but you passed in a . 2022-12-01T10:50:32.6633533Z 2022-12-01T10:50:32.6633658Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6633823Z 2022-12-01T10:50:32.6633914Z Traceback (most recent call last): 2022-12-01T10:50:32.6634193Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6634463Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6634684Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6634825Z 2022-12-01T10:50:32.6634894Z from user code: 2022-12-01T10:50:32.6635096Z File "test_torch.py", line 5906, in 2022-12-01T10:50:32.6635287Z lambda: [1, 2] in x) 2022-12-01T10:50:32.6635396Z 2022-12-01T10:50:32.6635526Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6635742Z ========== 2022-12-01T10:50:32.6635927Z ok (0.009s) 2022-12-01T10:50:32.6636127Z test_copy_broadcast (__main__.TestTorch) ... ok (0.014s) 2022-12-01T10:50:32.6636381Z test_copy_dtypes (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6636631Z test_copy_many_to_one (__main__.TestTorch) ... ok (0.010s) 2022-12-01T10:50:32.6637307Z test_copy_transpose (__main__.TestTorch) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-12-01T10:50:32.6637808Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:50:32.6638026Z ok (0.121s) 2022-12-01T10:50:32.6638415Z test_cuda_not_built (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6964 2022-12-01T10:50:32.6638681Z due to: 2022-12-01T10:50:32.6638861Z Traceback (most recent call last): 2022-12-01T10:50:32.6639217Z File "/opt/conda/lib/python3.7/site-packages/torch/cuda/__init__.py", line 221, in _lazy_init 2022-12-01T10:50:32.6639517Z raise AssertionError("Torch not compiled with CUDA enabled") 2022-12-01T10:50:32.6639789Z AssertionError: Torch not compiled with CUDA enabled 2022-12-01T10:50:32.6639937Z 2022-12-01T10:50:32.6640007Z from user code: 2022-12-01T10:50:32.6640209Z File "test_torch.py", line 6964, in 2022-12-01T10:50:32.6640486Z self.assertRaisesRegex(AssertionError, msg, lambda: torch.tensor([1], device="cuda")) 2022-12-01T10:50:32.6640675Z 2022-12-01T10:50:32.6640804Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6641023Z ========== 2022-12-01T10:50:32.6641323Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6965 2022-12-01T10:50:32.6641565Z due to: 2022-12-01T10:50:32.6641744Z Traceback (most recent call last): 2022-12-01T10:50:32.6642085Z File "/opt/conda/lib/python3.7/site-packages/torch/cuda/__init__.py", line 221, in _lazy_init 2022-12-01T10:50:32.6642393Z raise AssertionError("Torch not compiled with CUDA enabled") 2022-12-01T10:50:32.6642707Z AssertionError: Torch not compiled with CUDA enabled 2022-12-01T10:50:32.6642853Z 2022-12-01T10:50:32.6642921Z from user code: 2022-12-01T10:50:32.6643109Z File "test_torch.py", line 6965, in 2022-12-01T10:50:32.6643389Z self.assertRaisesRegex(AssertionError, msg, lambda: torch.tensor([1]).cuda()) 2022-12-01T10:50:32.6643568Z 2022-12-01T10:50:32.6643698Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6643904Z ========== 2022-12-01T10:50:32.6644213Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6966 2022-12-01T10:50:32.6644452Z due to: 2022-12-01T10:50:32.6644671Z Traceback (most recent call last): 2022-12-01T10:50:32.6644944Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6645228Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6645531Z TypeError: type torch.cuda.FloatTensor not available. Torch not compiled with CUDA enabled. 2022-12-01T10:50:32.6645728Z 2022-12-01T10:50:32.6645799Z from user code: 2022-12-01T10:50:32.6645985Z File "test_torch.py", line 6966, in 2022-12-01T10:50:32.6646267Z self.assertRaisesRegex(TypeError, msg, lambda: torch.cuda.FloatTensor()) 2022-12-01T10:50:32.6646449Z 2022-12-01T10:50:32.6646581Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6646785Z ========== 2022-12-01T10:50:32.6647427Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6967 2022-12-01T10:50:32.6647850Z due to: 2022-12-01T10:50:32.6648118Z Traceback (most recent call last): 2022-12-01T10:50:32.6648681Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:50:32.6649130Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:50:32.6649682Z NotImplementedError: argument of type: 2022-12-01T10:50:32.6649958Z 2022-12-01T10:50:32.6650084Z from user code: 2022-12-01T10:50:32.6650403Z File "test_torch.py", line 6967, in 2022-12-01T10:50:32.6650904Z self.assertRaisesRegex(TypeError, msg, lambda: torch.set_default_tensor_type(torch.cuda.FloatTensor)) 2022-12-01T10:50:32.6651292Z 2022-12-01T10:50:32.6651520Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6651854Z ========== 2022-12-01T10:50:32.6652439Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6968 2022-12-01T10:50:32.6652883Z due to: 2022-12-01T10:50:32.6653065Z Traceback (most recent call last): 2022-12-01T10:50:32.6653428Z File "/opt/conda/lib/python3.7/site-packages/torch/cuda/__init__.py", line 221, in _lazy_init 2022-12-01T10:50:32.6653743Z raise AssertionError("Torch not compiled with CUDA enabled") 2022-12-01T10:50:32.6654002Z AssertionError: Torch not compiled with CUDA enabled 2022-12-01T10:50:32.6654151Z 2022-12-01T10:50:32.6654222Z from user code: 2022-12-01T10:50:32.6654426Z File "test_torch.py", line 6968, in 2022-12-01T10:50:32.6654803Z self.assertRaisesRegex(AssertionError, msg, lambda: torch.tensor([1]).to(device="cuda")) 2022-12-01T10:50:32.6655123Z 2022-12-01T10:50:32.6655343Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6655692Z ========== 2022-12-01T10:50:32.6655982Z ok (0.009s) 2022-12-01T10:50:32.6656350Z test_cummax_neg_dim (__main__.TestTorch) ... ok (0.035s) 2022-12-01T10:50:32.6656664Z test_cummin_neg_dim (__main__.TestTorch) ... ok (0.035s) 2022-12-01T10:50:32.6656912Z test_cumprod_neg_dim (__main__.TestTorch) ... ok (0.035s) 2022-12-01T10:50:32.6657150Z test_cumsum_neg_dim (__main__.TestTorch) ... ok (0.035s) 2022-12-01T10:50:32.6657586Z test_cxx_flags (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cxx_flags test_torch.py line 6908 2022-12-01T10:50:32.6657958Z due to: 2022-12-01T10:50:32.6658272Z Traceback (most recent call last): 2022-12-01T10:50:32.6658750Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6659602Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6660350Z AssertionError: torch.* op returned non-Tensor str call_function 2022-12-01T10:50:32.6660675Z 2022-12-01T10:50:32.6660778Z from user code: 2022-12-01T10:50:32.6661125Z File "test_torch.py", line 6910, in test_cxx_flags 2022-12-01T10:50:32.6661485Z torch.__config__._cxx_flags() 2022-12-01T10:50:32.6661675Z 2022-12-01T10:50:32.6661898Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6662239Z ========== 2022-12-01T10:50:32.6662576Z ok (0.002s) 2022-12-01T10:50:32.6663000Z test_dead_weak_ref (__main__.TestTorch) ... skip: Not a suitable test for TorchDynamo (0.001s) 2022-12-01T10:50:32.6663472Z test_deepcopy_gradient (__main__.TestTorch) ... ok (0.012s) 2022-12-01T10:50:32.6663908Z test_deepcopy_parameter (__main__.TestTorch) ... ok (0.046s) 2022-12-01T10:50:32.6664348Z test_deterministic_flag (__main__.TestTorch) ... ok (0.007s) 2022-12-01T10:50:32.6665851Z test_device (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7790 2022-12-01T10:50:32.6666297Z due to: 2022-12-01T10:50:32.6666605Z Traceback (most recent call last): 2022-12-01T10:50:32.6667054Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6667546Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6668044Z RuntimeError: Invalid device string: 'cpu:-1' 2022-12-01T10:50:32.6668272Z 2022-12-01T10:50:32.6668396Z from user code: 2022-12-01T10:50:32.6668707Z File "test_torch.py", line 7790, in 2022-12-01T10:50:32.6669246Z self.assertRaises(RuntimeError, lambda: torch.device('cpu:-1')) 2022-12-01T10:50:32.6669522Z 2022-12-01T10:50:32.6669743Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6670080Z ========== 2022-12-01T10:50:32.6670596Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7791 2022-12-01T10:50:32.6670999Z due to: 2022-12-01T10:50:32.6671297Z Traceback (most recent call last): 2022-12-01T10:50:32.6671787Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6672294Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6672816Z RuntimeError: Invalid device string: 'cuda:-1' 2022-12-01T10:50:32.6672979Z 2022-12-01T10:50:32.6673051Z from user code: 2022-12-01T10:50:32.6673348Z File "test_torch.py", line 7791, in 2022-12-01T10:50:32.6673889Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:-1')) 2022-12-01T10:50:32.6674170Z 2022-12-01T10:50:32.6674376Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6674734Z ========== 2022-12-01T10:50:32.6675248Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7792 2022-12-01T10:50:32.6675650Z due to: 2022-12-01T10:50:32.6675934Z Traceback (most recent call last): 2022-12-01T10:50:32.6676405Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6676889Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6677361Z RuntimeError: Invalid device string: 'cuda:2 ' 2022-12-01T10:50:32.6677598Z 2022-12-01T10:50:32.6677711Z from user code: 2022-12-01T10:50:32.6678046Z File "test_torch.py", line 7792, in 2022-12-01T10:50:32.6678559Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2 ')) 2022-12-01T10:50:32.6678842Z 2022-12-01T10:50:32.6679051Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6679416Z ========== 2022-12-01T10:50:32.6679940Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7793 2022-12-01T10:50:32.6680319Z due to: 2022-12-01T10:50:32.6680739Z Traceback (most recent call last): 2022-12-01T10:50:32.6681216Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6681725Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6682278Z RuntimeError: Invalid device string: 'cuda: 2' 2022-12-01T10:50:32.6682533Z 2022-12-01T10:50:32.6682666Z from user code: 2022-12-01T10:50:32.6683015Z File "test_torch.py", line 7793, in 2022-12-01T10:50:32.6683566Z self.assertRaises(RuntimeError, lambda: torch.device('cuda: 2')) 2022-12-01T10:50:32.6683737Z 2022-12-01T10:50:32.6683869Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6684157Z ========== 2022-12-01T10:50:32.6684464Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7794 2022-12-01T10:50:32.6684706Z due to: 2022-12-01T10:50:32.6684890Z Traceback (most recent call last): 2022-12-01T10:50:32.6685164Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6685469Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6685769Z RuntimeError: Invalid device string: 'cuda:2 2' 2022-12-01T10:50:32.6685908Z 2022-12-01T10:50:32.6685965Z from user code: 2022-12-01T10:50:32.6686168Z File "test_torch.py", line 7794, in 2022-12-01T10:50:32.6686492Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2 2')) 2022-12-01T10:50:32.6686659Z 2022-12-01T10:50:32.6686789Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6687168Z ========== 2022-12-01T10:50:32.6687503Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7795 2022-12-01T10:50:32.6687835Z due to: 2022-12-01T10:50:32.6688005Z Traceback (most recent call last): 2022-12-01T10:50:32.6688291Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6688595Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6688886Z RuntimeError: Invalid device string: 'cuda:2.' 2022-12-01T10:50:32.6689029Z 2022-12-01T10:50:32.6689100Z from user code: 2022-12-01T10:50:32.6689302Z File "test_torch.py", line 7795, in 2022-12-01T10:50:32.6689629Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2.')) 2022-12-01T10:50:32.6689784Z 2022-12-01T10:50:32.6689915Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6690131Z ========== 2022-12-01T10:50:32.6690440Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7796 2022-12-01T10:50:32.6690664Z due to: 2022-12-01T10:50:32.6690849Z Traceback (most recent call last): 2022-12-01T10:50:32.6691132Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6691418Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6691712Z RuntimeError: Invalid device string: 'cuda:2?' 2022-12-01T10:50:32.6691853Z 2022-12-01T10:50:32.6691921Z from user code: 2022-12-01T10:50:32.6692120Z File "test_torch.py", line 7796, in 2022-12-01T10:50:32.6692429Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2?')) 2022-12-01T10:50:32.6692594Z 2022-12-01T10:50:32.6692724Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6692938Z ========== 2022-12-01T10:50:32.6693235Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7797 2022-12-01T10:50:32.6693473Z due to: 2022-12-01T10:50:32.6693653Z Traceback (most recent call last): 2022-12-01T10:50:32.6693927Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6694224Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6694517Z RuntimeError: Invalid device string: 'cuda:?2' 2022-12-01T10:50:32.6694657Z 2022-12-01T10:50:32.6694726Z from user code: 2022-12-01T10:50:32.6694988Z File "test_torch.py", line 7797, in 2022-12-01T10:50:32.6695311Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:?2')) 2022-12-01T10:50:32.6695479Z 2022-12-01T10:50:32.6695610Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6695814Z ========== 2022-12-01T10:50:32.6696129Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7798 2022-12-01T10:50:32.6696374Z due to: 2022-12-01T10:50:32.6696543Z Traceback (most recent call last): 2022-12-01T10:50:32.6696828Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6697170Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6697454Z RuntimeError: Invalid device string: 'cuda:' 2022-12-01T10:50:32.6697594Z 2022-12-01T10:50:32.6697663Z from user code: 2022-12-01T10:50:32.6697861Z File "test_torch.py", line 7798, in 2022-12-01T10:50:32.6698178Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:')) 2022-12-01T10:50:32.6698333Z 2022-12-01T10:50:32.6698462Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6698681Z ========== 2022-12-01T10:50:32.6698990Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7799 2022-12-01T10:50:32.6699213Z due to: 2022-12-01T10:50:32.6699393Z Traceback (most recent call last): 2022-12-01T10:50:32.6699676Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6699962Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6700264Z RuntimeError: Invalid device string: 'cuda:2.232' 2022-12-01T10:50:32.6700410Z 2022-12-01T10:50:32.6700479Z from user code: 2022-12-01T10:50:32.6700679Z File "test_torch.py", line 7799, in 2022-12-01T10:50:32.6700992Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2.232')) 2022-12-01T10:50:32.6701162Z 2022-12-01T10:50:32.6701294Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6701509Z ========== 2022-12-01T10:50:32.6701804Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7800 2022-12-01T10:50:32.6702040Z due to: 2022-12-01T10:50:32.6702222Z Traceback (most recent call last): 2022-12-01T10:50:32.6702491Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6702786Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6703088Z RuntimeError: Invalid device string: 'cuda:2 cuda:3' 2022-12-01T10:50:32.6703231Z 2022-12-01T10:50:32.6703299Z from user code: 2022-12-01T10:50:32.6703489Z File "test_torch.py", line 7800, in 2022-12-01T10:50:32.6703818Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2 cuda:3')) 2022-12-01T10:50:32.6703992Z 2022-12-01T10:50:32.6704122Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6704325Z ========== 2022-12-01T10:50:32.6704636Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7801 2022-12-01T10:50:32.6704873Z due to: 2022-12-01T10:50:32.6705040Z Traceback (most recent call last): 2022-12-01T10:50:32.6705320Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6705617Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6705907Z RuntimeError: Invalid device string: 'cuda:2+cuda:3' 2022-12-01T10:50:32.6706051Z 2022-12-01T10:50:32.6706120Z from user code: 2022-12-01T10:50:32.6706320Z File "test_torch.py", line 7801, in 2022-12-01T10:50:32.6706651Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2+cuda:3')) 2022-12-01T10:50:32.6706810Z 2022-12-01T10:50:32.6706942Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6707158Z ========== 2022-12-01T10:50:32.6707466Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7802 2022-12-01T10:50:32.6707736Z due to: 2022-12-01T10:50:32.6707917Z Traceback (most recent call last): 2022-12-01T10:50:32.6708199Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6708485Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6708792Z RuntimeError: Invalid device string: 'cuda:2cuda:3' 2022-12-01T10:50:32.6708939Z 2022-12-01T10:50:32.6709010Z from user code: 2022-12-01T10:50:32.6709212Z File "test_torch.py", line 7802, in 2022-12-01T10:50:32.6709528Z self.assertRaises(RuntimeError, lambda: torch.device('cuda:2cuda:3')) 2022-12-01T10:50:32.6709700Z 2022-12-01T10:50:32.6709866Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6710084Z ========== 2022-12-01T10:50:32.6710379Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7803 2022-12-01T10:50:32.6710615Z due to: 2022-12-01T10:50:32.6710796Z Traceback (most recent call last): 2022-12-01T10:50:32.6711068Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6711367Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6711618Z RuntimeError: Device index must not be negative 2022-12-01T10:50:32.6711758Z 2022-12-01T10:50:32.6711827Z from user code: 2022-12-01T10:50:32.6712014Z File "test_torch.py", line 7803, in 2022-12-01T10:50:32.6712324Z self.assertRaises(RuntimeError, lambda: torch.device(-1)) 2022-12-01T10:50:32.6712484Z 2022-12-01T10:50:32.6712615Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6712818Z ========== 2022-12-01T10:50:32.6713128Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7805 2022-12-01T10:50:32.6713367Z due to: 2022-12-01T10:50:32.6713534Z Traceback (most recent call last): 2022-12-01T10:50:32.6713814Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6714114Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6714519Z RuntimeError: Expected one of cpu, cuda, ipu, xpu, mkldnn, opengl, opencl, ideep, hip, ve, fpga, ort, xla, lazy, vulkan, mps, meta, hpu, privateuseone device type at start of device string: other 2022-12-01T10:50:32.6714797Z 2022-12-01T10:50:32.6714856Z from user code: 2022-12-01T10:50:32.6715056Z File "test_torch.py", line 7805, in 2022-12-01T10:50:32.6715373Z self.assertRaises(RuntimeError, lambda: torch.device('other')) 2022-12-01T10:50:32.6715537Z 2022-12-01T10:50:32.6715655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6715878Z ========== 2022-12-01T10:50:32.6716187Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7806 2022-12-01T10:50:32.6716429Z due to: 2022-12-01T10:50:32.6716596Z Traceback (most recent call last): 2022-12-01T10:50:32.6716878Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 120, in call_function 2022-12-01T10:50:32.6717181Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:50:32.6717568Z RuntimeError: Expected one of cpu, cuda, ipu, xpu, mkldnn, opengl, opencl, ideep, hip, ve, fpga, ort, xla, lazy, vulkan, mps, meta, hpu, privateuseone device type at start of device string: other 2022-12-01T10:50:32.6717844Z 2022-12-01T10:50:32.6717913Z from user code: 2022-12-01T10:50:32.6718115Z File "test_torch.py", line 7806, in 2022-12-01T10:50:32.6718444Z self.assertRaises(RuntimeError, lambda: torch.device('other:0')) 2022-12-01T10:50:32.6718599Z 2022-12-01T10:50:32.6718732Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6718949Z ========== 2022-12-01T10:50:32.6719110Z ok (0.049s) 2022-12-01T10:50:32.6719293Z test_dir (__main__.TestTorch) ... ok (0.027s) 2022-12-01T10:50:32.6719521Z test_doc (__main__.TestTorch) ... ok (0.004s) 2022-12-01T10:50:32.6719745Z test_doc_template (__main__.TestTorch) 2022-12-01T10:50:32.6720051Z Test that all public API doc strings use the same standard template for ... ok (0.021s) 2022-12-01T10:50:32.6720339Z test_dot_data_use (__main__.TestTorch) ... ok (0.016s) 2022-12-01T10:50:32.6720772Z test_dtype_is_signed (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7408 2022-12-01T10:50:32.6721039Z due to: 2022-12-01T10:50:32.6721223Z Traceback (most recent call last): 2022-12-01T10:50:32.6721513Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:50:32.6721793Z member = getattr(self.value, name) 2022-12-01T10:50:32.6722067Z RuntimeError: isSignedType not supported for quantized types 2022-12-01T10:50:32.6722230Z 2022-12-01T10:50:32.6722300Z from user code: 2022-12-01T10:50:32.6722501Z File "test_torch.py", line 7408, in 2022-12-01T10:50:32.6722877Z self.assertRaisesRegex(RuntimeError, 'not supported for quantized', lambda: torch.quint8.is_signed) 2022-12-01T10:50:32.6723087Z 2022-12-01T10:50:32.6723218Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6723438Z ========== 2022-12-01T10:50:32.6723737Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7409 2022-12-01T10:50:32.6723977Z due to: 2022-12-01T10:50:32.6724161Z Traceback (most recent call last): 2022-12-01T10:50:32.6724450Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:50:32.6724717Z member = getattr(self.value, name) 2022-12-01T10:50:32.6724973Z RuntimeError: isSignedType not supported for quantized types 2022-12-01T10:50:32.6725135Z 2022-12-01T10:50:32.6725208Z from user code: 2022-12-01T10:50:32.6725396Z File "test_torch.py", line 7409, in 2022-12-01T10:50:32.6725779Z self.assertRaisesRegex(RuntimeError, 'not supported for quantized', lambda: torch.qint8.is_signed) 2022-12-01T10:50:32.6725982Z 2022-12-01T10:50:32.6726118Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6726321Z ========== 2022-12-01T10:50:32.6726631Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7410 2022-12-01T10:50:32.6726869Z due to: 2022-12-01T10:50:32.6727243Z Traceback (most recent call last): 2022-12-01T10:50:32.6727521Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:50:32.6727875Z member = getattr(self.value, name) 2022-12-01T10:50:32.6728134Z RuntimeError: isSignedType not supported for quantized types 2022-12-01T10:50:32.6728294Z 2022-12-01T10:50:32.6728351Z from user code: 2022-12-01T10:50:32.6728612Z File "test_torch.py", line 7410, in 2022-12-01T10:50:32.6729074Z self.assertRaisesRegex(RuntimeError, 'not supported for quantized', lambda: torch.qint32.is_signed) 2022-12-01T10:50:32.6729339Z 2022-12-01T10:50:32.6729460Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6729808Z ========== 2022-12-01T10:50:32.6729980Z ok (0.012s) 2022-12-01T10:50:32.6730470Z test_element_size (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5832 2022-12-01T10:50:32.6730832Z due to: 2022-12-01T10:50:32.6731030Z Traceback (most recent call last): 2022-12-01T10:50:32.6731394Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6731883Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6732347Z AssertionError: torch.* op returned non-Tensor int call_method element_size 2022-12-01T10:50:32.6732565Z 2022-12-01T10:50:32.6732626Z from user code: 2022-12-01T10:50:32.6732933Z File "test_torch.py", line 5834, in 2022-12-01T10:50:32.6733275Z self.assertEqual(byte, torch.ByteTensor().element_size()) 2022-12-01T10:50:32.6733463Z 2022-12-01T10:50:32.6733663Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6733944Z ========== 2022-12-01T10:50:32.6734161Z ok (0.290s) 2022-12-01T10:50:32.6734640Z test_empty_meta (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_empty_meta test_torch.py line 7155 2022-12-01T10:50:32.6734934Z due to: 2022-12-01T10:50:32.6735181Z Traceback (most recent call last): 2022-12-01T10:50:32.6735623Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6735917Z assert device.type != "meta" 2022-12-01T10:50:32.6736180Z AssertionError 2022-12-01T10:50:32.6736323Z 2022-12-01T10:50:32.6736421Z from user code: 2022-12-01T10:50:32.6736694Z File "test_torch.py", line 7156, in test_empty_meta 2022-12-01T10:50:32.6737041Z x = torch.empty(2 ** 20, 2 ** 20, device='meta') 2022-12-01T10:50:32.6737201Z 2022-12-01T10:50:32.6737389Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6737622Z ========== 2022-12-01T10:50:32.6737992Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7160 2022-12-01T10:50:32.6738307Z due to: 2022-12-01T10:50:32.6738549Z Traceback (most recent call last): 2022-12-01T10:50:32.6738955Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6739289Z assert device.type != "meta" 2022-12-01T10:50:32.6739535Z AssertionError 2022-12-01T10:50:32.6739630Z 2022-12-01T10:50:32.6739788Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6740066Z ========== 2022-12-01T10:50:32.6740298Z ok (0.008s) 2022-12-01T10:50:32.6740528Z test_empty_storage_view (__main__.TestTorch) ... ok (0.009s) 2022-12-01T10:50:32.6740851Z test_equal (__main__.TestTorch) ... ok (0.384s) 2022-12-01T10:50:32.6741172Z test_error_msg_type_translation (__main__.TestTorch) ... ok (0.016s) 2022-12-01T10:50:32.6741451Z test_fill_diagonal (__main__.TestTorch) ... ok (0.092s) 2022-12-01T10:50:32.6741994Z test_format_scalar_meta (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_format_scalar_meta test_torch.py line 7162 2022-12-01T10:50:32.6742346Z due to: 2022-12-01T10:50:32.6742591Z Traceback (most recent call last): 2022-12-01T10:50:32.6742981Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6761837Z assert device.type != "meta" 2022-12-01T10:50:32.6762121Z AssertionError 2022-12-01T10:50:32.6762237Z 2022-12-01T10:50:32.6762310Z from user code: 2022-12-01T10:50:32.6762525Z File "test_torch.py", line 7163, in test_format_scalar_meta 2022-12-01T10:50:32.6762860Z x = torch.empty((), device='meta') 2022-12-01T10:50:32.6762990Z 2022-12-01T10:50:32.6763124Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6763335Z ========== 2022-12-01T10:50:32.6763497Z ok (0.002s) 2022-12-01T10:50:32.6763931Z test_from_buffer (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6218 2022-12-01T10:50:32.6764221Z due to: 2022-12-01T10:50:32.6764408Z Traceback (most recent call last): 2022-12-01T10:50:32.6764707Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:50:32.6765011Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:50:32.6765337Z NotImplementedError: UserDefinedObjectVariable(_LegacyStorageMeta) is not a constant 2022-12-01T10:50:32.6765544Z 2022-12-01T10:50:32.6765616Z from user code: 2022-12-01T10:50:32.6765849Z File "test_torch.py", line 6218, in 2022-12-01T10:50:32.6766091Z self.assertEqual(bools.size(), 8) 2022-12-01T10:50:32.6766223Z 2022-12-01T10:50:32.6766355Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6766576Z ========== 2022-12-01T10:50:32.6766722Z ok (0.390s) 2022-12-01T10:50:32.6767329Z test_from_file (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6438 2022-12-01T10:50:32.6767815Z due to: 2022-12-01T10:50:32.6767987Z Traceback (most recent call last): 2022-12-01T10:50:32.6768272Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6768717Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6769119Z AssertionError: torch.* op returned non-Tensor int call_method data_ptr 2022-12-01T10:50:32.6769293Z 2022-12-01T10:50:32.6769350Z from user code: 2022-12-01T10:50:32.6769655Z File "test_torch.py", line 6438, in 2022-12-01T10:50:32.6769960Z self.assertEqual(s1.data_ptr(), torch.FloatTensor(s1).data_ptr()) 2022-12-01T10:50:32.6770128Z 2022-12-01T10:50:32.6770248Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6770476Z ========== 2022-12-01T10:50:32.6770633Z ok (0.046s) 2022-12-01T10:50:32.6770846Z test_gather_neg_dim (__main__.TestTorch) ... ok (0.041s) 2022-12-01T10:50:32.6771311Z test_generator_cpu (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5969 2022-12-01T10:50:32.6771618Z due to: 2022-12-01T10:50:32.6771810Z Traceback (most recent call last): 2022-12-01T10:50:32.6772075Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6772505Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6772953Z AssertionError: torch.* op returned non-Tensor Generator call_function 2022-12-01T10:50:32.6773154Z 2022-12-01T10:50:32.6773226Z from user code: 2022-12-01T10:50:32.6773449Z File "test_torch.py", line 5973, in 2022-12-01T10:50:32.6773691Z g1 = torch.Generator() 2022-12-01T10:50:32.6773813Z 2022-12-01T10:50:32.6773948Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6774157Z ========== 2022-12-01T10:50:32.6774318Z ok (0.010s) 2022-12-01T10:50:32.6774749Z test_has_internal_overlap (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_has_internal_overlap test_torch.py line 6970 2022-12-01T10:50:32.6775039Z due to: 2022-12-01T10:50:32.6775224Z Traceback (most recent call last): 2022-12-01T10:50:32.6775502Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6775920Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6776434Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:50:32.6776673Z 2022-12-01T10:50:32.6776744Z from user code: 2022-12-01T10:50:32.6776971Z File "test_torch.py", line 6977, in test_has_internal_overlap 2022-12-01T10:50:32.6777244Z self.assertEqual(torch._debug_has_internal_overlap(a), OVERLAP_NO) 2022-12-01T10:50:32.6777416Z 2022-12-01T10:50:32.6777549Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6777769Z ========== 2022-12-01T10:50:32.6777913Z ok (0.004s) 2022-12-01T10:50:32.6778307Z test_has_storage (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_has_storage test_torch.py line 7385 2022-12-01T10:50:32.6778592Z due to: 2022-12-01T10:50:32.6778776Z Traceback (most recent call last): 2022-12-01T10:50:32.6779044Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6779472Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6779884Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.6780112Z 2022-12-01T10:50:32.6780170Z from user code: 2022-12-01T10:50:32.6780385Z File "test_torch.py", line 7386, in test_has_storage 2022-12-01T10:50:32.6780641Z self.assertIsNotNone(torch.tensor([]).storage()) 2022-12-01T10:50:32.6780791Z 2022-12-01T10:50:32.6780922Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6781126Z ========== 2022-12-01T10:50:32.6781289Z ok (0.003s) 2022-12-01T10:50:32.6781934Z test_index_add (__main__.TestTorch) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.6782338Z 2022-12-01T10:50:32.6782742Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.6783457Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.6783996Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.6784327Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.6784509Z ok (0.053s) 2022-12-01T10:50:32.6784731Z test_index_add_all_dtypes (__main__.TestTorch) ... ok (0.027s) 2022-12-01T10:50:32.6784999Z test_index_add_neg_dim (__main__.TestTorch) ... ok (0.043s) 2022-12-01T10:50:32.6785268Z test_index_copy_neg_dim (__main__.TestTorch) ... ok (0.008s) 2022-12-01T10:50:32.6785516Z test_index_fill_neg_dim (__main__.TestTorch) ... ok (0.006s) 2022-12-01T10:50:32.6785776Z test_index_select_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6786237Z test_invalid_generator_raises (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5999 2022-12-01T10:50:32.6786518Z due to: 2022-12-01T10:50:32.6786705Z Traceback (most recent call last): 2022-12-01T10:50:32.6786992Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6787266Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6787556Z RuntimeError: Device type OPENGL is not supported for torch.Generator() api. 2022-12-01T10:50:32.6787736Z 2022-12-01T10:50:32.6787876Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6788043Z 2022-12-01T10:50:32.6788136Z Traceback (most recent call last): 2022-12-01T10:50:32.6788403Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6788679Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6788915Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6789060Z 2022-12-01T10:50:32.6789118Z from user code: 2022-12-01T10:50:32.6789321Z File "test_torch.py", line 5999, in 2022-12-01T10:50:32.6789656Z self.assertRaises(RuntimeError, lambda: torch.Generator('opengl')) 2022-12-01T10:50:32.6789826Z 2022-12-01T10:50:32.6789957Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6790163Z ========== 2022-12-01T10:50:32.6790325Z ok (0.005s) 2022-12-01T10:50:32.6790529Z test_is_nonzero (__main__.TestTorch) ... ok (0.017s) 2022-12-01T10:50:32.6790953Z test_is_same_size (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_is_same_size test_torch.py line 5694 2022-12-01T10:50:32.6791237Z due to: 2022-12-01T10:50:32.6791428Z Traceback (most recent call last): 2022-12-01T10:50:32.6791696Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6792126Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6792525Z AssertionError: torch.* op returned non-Tensor bool call_method is_same_size 2022-12-01T10:50:32.6792736Z 2022-12-01T10:50:32.6792806Z from user code: 2022-12-01T10:50:32.6793007Z File "test_torch.py", line 5700, in test_is_same_size 2022-12-01T10:50:32.6793244Z self.assertFalse(t1.is_same_size(t2)) 2022-12-01T10:50:32.6793379Z 2022-12-01T10:50:32.6793510Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6793715Z ========== 2022-12-01T10:50:32.6794322Z /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:47: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:177.) 2022-12-01T10:50:32.6794896Z nt = torch._nested_tensor_from_tensor_list(new_data, dtype, None, device, pin_memory) 2022-12-01T10:50:32.6795142Z ok (0.012s) 2022-12-01T10:50:32.6795329Z test_iter (__main__.TestTorch) ... ok (0.010s) 2022-12-01T10:50:32.6795579Z test_kthvalue_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6795850Z test_logcumsumexp_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6796185Z test_manual_seed (__main__.TestTorch) ... skip: requires https://github.com/pytorch/torchdynamo/pull/1098 (0.002s) 2022-12-01T10:50:32.6796669Z test_map (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6837 2022-12-01T10:50:32.6796939Z due to: 2022-12-01T10:50:32.6797111Z Traceback (most recent call last): 2022-12-01T10:50:32.6797395Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:50:32.6797702Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:50:32.6797985Z RuntimeError: .map_ is not supported for tensor subclasses. 2022-12-01T10:50:32.6798126Z 2022-12-01T10:50:32.6798261Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6798426Z 2022-12-01T10:50:32.6798519Z Traceback (most recent call last): 2022-12-01T10:50:32.6798801Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6799064Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6799301Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6799446Z 2022-12-01T10:50:32.6799517Z from user code: 2022-12-01T10:50:32.6799721Z File "test_torch.py", line 6837, in 2022-12-01T10:50:32.6799988Z self.assertRaisesRegex(TypeError, "not callable", lambda: res.map_(y, "str")) 2022-12-01T10:50:32.6800171Z 2022-12-01T10:50:32.6800303Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6800521Z ========== 2022-12-01T10:50:32.6800667Z ok (0.026s) 2022-12-01T10:50:32.6800870Z test_map2 (__main__.TestTorch) ... ok (0.036s) 2022-12-01T10:50:32.6801108Z test_max_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6801337Z test_mean_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6801583Z test_median_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6802046Z test_memory_format (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7012 2022-12-01T10:50:32.6802347Z due to: 2022-12-01T10:50:32.6802518Z Traceback (most recent call last): 2022-12-01T10:50:32.6802803Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:50:32.6803103Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:50:32.6803354Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:50:32.6803508Z 2022-12-01T10:50:32.6803577Z from user code: 2022-12-01T10:50:32.6803807Z File "test_torch.py", line 7013, in 2022-12-01T10:50:32.6804074Z self.assertTrue(y.is_contiguous(memory_format=memory_format)) 2022-12-01T10:50:32.6804233Z 2022-12-01T10:50:32.6804364Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6804585Z ========== 2022-12-01T10:50:32.6804827Z ok (0.026s) 2022-12-01T10:50:32.6805144Z test_memory_format_contiguous_returns_same_tensor_if_already_satisfies (__main__.TestTorch) ... ok (0.029s) 2022-12-01T10:50:32.6805460Z test_memory_format_empty (__main__.TestTorch) ... ok (0.023s) 2022-12-01T10:50:32.6805715Z test_min_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6805949Z test_mode_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6806288Z test_multinomial_invalid_probs (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:50:32.6806622Z test_nanmedian_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6806902Z test_narrow_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-12-01T10:50:32.6807298Z test_ndim (__main__.TestTorch) ... ok (0.016s) 2022-12-01T10:50:32.6807806Z test_new (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6784 2022-12-01T10:50:32.6808098Z due to: 2022-12-01T10:50:32.6808268Z Traceback (most recent call last): 2022-12-01T10:50:32.6808551Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:50:32.6808866Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:50:32.6809429Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6809726Z 2022-12-01T10:50:32.6809866Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6810033Z 2022-12-01T10:50:32.6810127Z Traceback (most recent call last): 2022-12-01T10:50:32.6810409Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6810680Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6810915Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6811062Z 2022-12-01T10:50:32.6811134Z from user code: 2022-12-01T10:50:32.6811344Z File "test_torch.py", line 6784, in 2022-12-01T10:50:32.6811626Z self.assertEqual(x.new([np.int32(3), np.float64(4)]).tolist(), [3, 4]) 2022-12-01T10:50:32.6811790Z 2022-12-01T10:50:32.6811922Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6812140Z ========== 2022-12-01T10:50:32.6812442Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6793 2022-12-01T10:50:32.6812734Z due to: 2022-12-01T10:50:32.6812919Z Traceback (most recent call last): 2022-12-01T10:50:32.6813190Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:50:32.6813499Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:50:32.6814042Z TypeError: expected TensorOptions(dtype=float, device=cpu, layout=Strided, requires_grad=false (default), pinned_memory=false (default), memory_format=(nullopt)) (got TensorOptions(dtype=int, device=cpu, layout=Strided, requires_grad=false (default), pinned_memory=false (default), memory_format=(nullopt))) 2022-12-01T10:50:32.6814440Z 2022-12-01T10:50:32.6814515Z from user code: 2022-12-01T10:50:32.6814710Z File "test_torch.py", line 6793, in 2022-12-01T10:50:32.6814955Z self.assertRaises(TypeError, lambda: x.new(z)) 2022-12-01T10:50:32.6815102Z 2022-12-01T10:50:32.6815236Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6815442Z ========== 2022-12-01T10:50:32.6815764Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6795 2022-12-01T10:50:32.6816014Z due to: 2022-12-01T10:50:32.6816187Z Traceback (most recent call last): 2022-12-01T10:50:32.6816468Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6816899Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6817388Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.6817570Z 2022-12-01T10:50:32.6817629Z from user code: 2022-12-01T10:50:32.6817835Z File "test_torch.py", line 6795, in 2022-12-01T10:50:32.6818097Z self.assertRaises(RuntimeError, lambda: x.new(z.storage())) 2022-12-01T10:50:32.6818259Z 2022-12-01T10:50:32.6818378Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6818603Z ========== 2022-12-01T10:50:32.6818765Z ok (0.261s) 2022-12-01T10:50:32.6818991Z test_newaxis_numpy_comparison (__main__.TestTorch) ... ok (0.023s) 2022-12-01T10:50:32.6819474Z test_newindex (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_newindex test_torch.py line 5533 2022-12-01T10:50:32.6819760Z due to: 2022-12-01T10:50:32.6819952Z Traceback (most recent call last): 2022-12-01T10:50:32.6820226Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6820519Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6820877Z TypeError: ones(): argument 'size' (position 1) must be tuple of SymInts, not FakeTensor 2022-12-01T10:50:32.6821059Z 2022-12-01T10:50:32.6821118Z from user code: 2022-12-01T10:50:32.6821329Z File "test_torch.py", line 5534, in test_newindex 2022-12-01T10:50:32.6821569Z reference = self._consecutive((3, 3, 3)) 2022-12-01T10:50:32.6821704Z 2022-12-01T10:50:32.6821838Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6822046Z ========== 2022-12-01T10:50:32.6822373Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _consecutive test_torch.py line 5528 2022-12-01T10:50:32.6822658Z due to: 2022-12-01T10:50:32.6822834Z Traceback (most recent call last): 2022-12-01T10:50:32.6823116Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6823404Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6823752Z TypeError: ones(): argument 'size' (position 1) must be tuple of SymInts, not FakeTensor 2022-12-01T10:50:32.6823933Z 2022-12-01T10:50:32.6824005Z from user code: 2022-12-01T10:50:32.6824212Z File "test_torch.py", line 5529, in _consecutive 2022-12-01T10:50:32.6824471Z sequence = torch.ones(torch.tensor(size).prod(0)).cumsum(0) 2022-12-01T10:50:32.6824610Z 2022-12-01T10:50:32.6824741Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6824963Z ========== 2022-12-01T10:50:32.6825299Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT checkPartialAssign test_torch.py line 5537 2022-12-01T10:50:32.6825545Z due to: 2022-12-01T10:50:32.6825728Z Traceback (most recent call last): 2022-12-01T10:50:32.6826012Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6826286Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6826639Z TypeError: ones(): argument 'size' (position 1) must be tuple of SymInts, not FakeTensor 2022-12-01T10:50:32.6826819Z 2022-12-01T10:50:32.6826891Z from user code: 2022-12-01T10:50:32.6827110Z File "test_torch.py", line 5539, in checkPartialAssign 2022-12-01T10:50:32.6827360Z reference[index] = self._consecutive((3, 3, 3))[index] 2022-12-01T10:50:32.6827505Z 2022-12-01T10:50:32.6827634Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6827856Z ========== 2022-12-01T10:50:32.6828001Z ok (0.019s) 2022-12-01T10:50:32.6828206Z test_norm_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6828460Z test_normal_shape (__main__.TestTorch) ... ok (1.034s) 2022-12-01T10:50:32.6828870Z test_numel (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_numel test_torch.py line 7393 2022-12-01T10:50:32.6829145Z due to: 2022-12-01T10:50:32.6829333Z Traceback (most recent call last): 2022-12-01T10:50:32.6829600Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6830072Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6830469Z AssertionError: torch.* op returned non-Tensor int call_method nelement 2022-12-01T10:50:32.6830641Z 2022-12-01T10:50:32.6830712Z from user code: 2022-12-01T10:50:32.6830906Z File "test_torch.py", line 7395, in test_numel 2022-12-01T10:50:32.6831143Z self.assertEqual(b.nelement(), 3 * 100 * 100) 2022-12-01T10:50:32.6831281Z 2022-12-01T10:50:32.6831411Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6831615Z ========== 2022-12-01T10:50:32.6831772Z ok (0.005s) 2022-12-01T10:50:32.6832209Z test_parallel_info (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parallel_info test_torch.py line 6912 2022-12-01T10:50:32.6832502Z due to: 2022-12-01T10:50:32.6832673Z Traceback (most recent call last): 2022-12-01T10:50:32.6832950Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6833378Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6833821Z AssertionError: torch.* op returned non-Tensor str call_function 2022-12-01T10:50:32.6834029Z 2022-12-01T10:50:32.6834099Z from user code: 2022-12-01T10:50:32.6834313Z File "test_torch.py", line 6913, in test_parallel_info 2022-12-01T10:50:32.6834531Z torch.__config__.parallel_info() 2022-12-01T10:50:32.6834661Z 2022-12-01T10:50:32.6834792Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6835013Z ========== 2022-12-01T10:50:32.6835175Z ok (0.002s) 2022-12-01T10:50:32.6835599Z test_parsing_double (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6170 2022-12-01T10:50:32.6835882Z due to: 2022-12-01T10:50:32.6836067Z Traceback (most recent call last): 2022-12-01T10:50:32.6836340Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6836632Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6836981Z TypeError: isclose(): argument 'atol' (position 4) must be float, not FakeTensor 2022-12-01T10:50:32.6837158Z 2022-12-01T10:50:32.6837214Z from user code: 2022-12-01T10:50:32.6837416Z File "test_torch.py", line 6170, in 2022-12-01T10:50:32.6837708Z lambda: torch.isclose(x, x, torch.tensor(1.5), torch.tensor(1., requires_grad=True)).all()) 2022-12-01T10:50:32.6837889Z 2022-12-01T10:50:32.6838020Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6838223Z ========== 2022-12-01T10:50:32.6838381Z ok (0.059s) 2022-12-01T10:50:32.6838770Z test_parsing_int64 (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6157 2022-12-01T10:50:32.6839032Z due to: 2022-12-01T10:50:32.6839214Z Traceback (most recent call last): 2022-12-01T10:50:32.6839494Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6839771Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6840181Z TypeError: cumsum() received an invalid combination of arguments - got (FakeTensor, FakeTensor), but expected one of: 2022-12-01T10:50:32.6840515Z * (Tensor input, int dim, *, torch.dtype dtype, Tensor out) 2022-12-01T10:50:32.6840783Z * (Tensor input, name dim, *, torch.dtype dtype, Tensor out) 2022-12-01T10:50:32.6840921Z 2022-12-01T10:50:32.6840925Z 2022-12-01T10:50:32.6840995Z from user code: 2022-12-01T10:50:32.6841197Z File "test_torch.py", line 6157, in 2022-12-01T10:50:32.6841493Z self.assertRaises(TypeError, lambda: torch.cumsum(torch.ones(5, 5), torch.tensor(0.))) 2022-12-01T10:50:32.6841682Z 2022-12-01T10:50:32.6841800Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6842021Z ========== 2022-12-01T10:50:32.6842180Z ok (0.015s) 2022-12-01T10:50:32.6842557Z test_parsing_intlist (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6183 2022-12-01T10:50:32.6842877Z due to: 2022-12-01T10:50:32.6843061Z Traceback (most recent call last): 2022-12-01T10:50:32.6843344Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6843614Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6843963Z TypeError: ones(): argument 'size' (position 1) must be tuple of SymInts, not tuple 2022-12-01T10:50:32.6844144Z 2022-12-01T10:50:32.6844216Z from user code: 2022-12-01T10:50:32.6844405Z File "test_torch.py", line 6183, in 2022-12-01T10:50:32.6844724Z self.assertRaises(TypeError, lambda: torch.ones((torch.tensor(3.), torch.tensor(4)))) 2022-12-01T10:50:32.6844912Z 2022-12-01T10:50:32.6845044Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6845264Z ========== 2022-12-01T10:50:32.6845565Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6185 2022-12-01T10:50:32.6845812Z due to: 2022-12-01T10:50:32.6845997Z Traceback (most recent call last): 2022-12-01T10:50:32.6846265Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6846553Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6846901Z TypeError: ones(): argument 'size' (position 1) must be tuple of SymInts, not tuple 2022-12-01T10:50:32.6847252Z 2022-12-01T10:50:32.6847313Z from user code: 2022-12-01T10:50:32.6847521Z File "test_torch.py", line 6185, in 2022-12-01T10:50:32.6847885Z self.assertRaises(TypeError, lambda: torch.ones((np.float(3.), torch.tensor(4)))) 2022-12-01T10:50:32.6848074Z 2022-12-01T10:50:32.6848211Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6848421Z ========== 2022-12-01T10:50:32.6848742Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6189 2022-12-01T10:50:32.6848990Z due to: 2022-12-01T10:50:32.6849163Z Traceback (most recent call last): 2022-12-01T10:50:32.6849449Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6849738Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6849988Z TypeError: tensor() takes 1 positional argument but 2 were given 2022-12-01T10:50:32.6850148Z 2022-12-01T10:50:32.6850222Z from user code: 2022-12-01T10:50:32.6850429Z File "test_torch.py", line 6189, in 2022-12-01T10:50:32.6850687Z self.assertRaises(TypeError, lambda: torch.ones(torch.tensor(3, 3))) 2022-12-01T10:50:32.6850862Z 2022-12-01T10:50:32.6850995Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6851218Z ========== 2022-12-01T10:50:32.6851536Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6190 2022-12-01T10:50:32.6851766Z due to: 2022-12-01T10:50:32.6851955Z Traceback (most recent call last): 2022-12-01T10:50:32.6852241Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6852513Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6852777Z TypeError: tensor() takes 1 positional argument but 2 were given 2022-12-01T10:50:32.6852935Z 2022-12-01T10:50:32.6853008Z from user code: 2022-12-01T10:50:32.6853195Z File "test_torch.py", line 6190, in 2022-12-01T10:50:32.6853469Z self.assertRaises(TypeError, lambda: torch.ones((torch.tensor(3, 3)))) 2022-12-01T10:50:32.6853641Z 2022-12-01T10:50:32.6853775Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6853999Z ========== 2022-12-01T10:50:32.6854301Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6197 2022-12-01T10:50:32.6854545Z due to: 2022-12-01T10:50:32.6854728Z Traceback (most recent call last): 2022-12-01T10:50:32.6854997Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6855354Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6855756Z TypeError: new() received an invalid combination of arguments - got (tuple, int, int, int), but expected one of: 2022-12-01T10:50:32.6856025Z * (*, torch.device device) 2022-12-01T10:50:32.6856223Z * (torch.Storage storage) 2022-12-01T10:50:32.6856414Z * (Tensor other) 2022-12-01T10:50:32.6856609Z * (tuple of ints size, *, torch.device device) 2022-12-01T10:50:32.6856841Z * (object data, *, torch.device device) 2022-12-01T10:50:32.6856975Z 2022-12-01T10:50:32.6856980Z 2022-12-01T10:50:32.6857051Z from user code: 2022-12-01T10:50:32.6857254Z File "test_torch.py", line 6197, in 2022-12-01T10:50:32.6857515Z lambda: torch.LongTensor((6, 0), 1, 1, 0)) 2022-12-01T10:50:32.6857652Z 2022-12-01T10:50:32.6857786Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6858008Z ========== 2022-12-01T10:50:32.6858307Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6200 2022-12-01T10:50:32.6858555Z due to: 2022-12-01T10:50:32.6858742Z Traceback (most recent call last): 2022-12-01T10:50:32.6859011Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6859302Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6859573Z TypeError: tensor() missing 1 required positional arguments: "data" 2022-12-01T10:50:32.6859740Z 2022-12-01T10:50:32.6859813Z from user code: 2022-12-01T10:50:32.6860002Z File "test_torch.py", line 6200, in 2022-12-01T10:50:32.6860235Z lambda: torch.tensor().new_zeros((5, 5), 0)) 2022-12-01T10:50:32.6860375Z 2022-12-01T10:50:32.6860511Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6860759Z ========== 2022-12-01T10:50:32.6860922Z ok (0.306s) 2022-12-01T10:50:32.6861130Z test_permute (__main__.TestTorch) ... ok (0.031s) 2022-12-01T10:50:32.6861357Z test_pickle (__main__.TestTorch) ... ok (0.015s) 2022-12-01T10:50:32.6861609Z test_pickle_dtype (__main__.TestTorch) ... ok (0.022s) 2022-12-01T10:50:32.6861867Z test_pickle_function (__main__.TestTorch) ... ok (0.010s) 2022-12-01T10:50:32.6862166Z test_pickle_parameter (__main__.TestTorch) ... skip: TorchDynamo fails with unknown reason (0.001s) 2022-12-01T10:50:32.6862541Z test_pickle_parameter_no_requires_grad (__main__.TestTorch) ... skip: TorchDynamo fails with unknown reason (0.001s) 2022-12-01T10:50:32.6862855Z test_pickle_size (__main__.TestTorch) ... ok (0.017s) 2022-12-01T10:50:32.6863299Z test_pin_memory (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pin_memory test_torch.py line 6797 2022-12-01T10:50:32.6863568Z due to: 2022-12-01T10:50:32.6863758Z Traceback (most recent call last): 2022-12-01T10:50:32.6864130Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:50:32.6864425Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:50:32.6864679Z AssertionError: NYI: aten.is_pinned.default 2022-12-01T10:50:32.6864824Z 2022-12-01T10:50:32.6864896Z from user code: 2022-12-01T10:50:32.6865112Z File "test_torch.py", line 6800, in test_pin_memory 2022-12-01T10:50:32.6865332Z self.assertFalse(x.is_pinned()) 2022-12-01T10:50:32.6865464Z 2022-12-01T10:50:32.6865596Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6865817Z ========== 2022-12-01T10:50:32.6866119Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6802 2022-12-01T10:50:32.6866363Z due to: 2022-12-01T10:50:32.6866547Z Traceback (most recent call last): 2022-12-01T10:50:32.6866903Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:50:32.6867210Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:50:32.6867462Z AssertionError: NYI: aten.is_pinned.default 2022-12-01T10:50:32.6867602Z 2022-12-01T10:50:32.6867672Z from user code: 2022-12-01T10:50:32.6867905Z File "test_torch.py", line 6802, in 2022-12-01T10:50:32.6868164Z self.assertRaises(RuntimeError, lambda: x.pin_memory()) 2022-12-01T10:50:32.6868322Z 2022-12-01T10:50:32.6868452Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6868660Z ========== 2022-12-01T10:50:32.6868818Z ok (0.010s) 2022-12-01T10:50:32.6869199Z test_print (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_print test_torch.py line 6496 2022-12-01T10:50:32.6869463Z due to: 2022-12-01T10:50:32.6869651Z Traceback (most recent call last): 2022-12-01T10:50:32.6869934Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6870381Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6870775Z AssertionError: torch.* op returned non-Tensor str call_method type 2022-12-01T10:50:32.6870944Z 2022-12-01T10:50:32.6871015Z from user code: 2022-12-01T10:50:32.6871227Z File "test_torch.py", line 6497, in test_print 2022-12-01T10:50:32.6871448Z default_type = torch.tensor([]).type() 2022-12-01T10:50:32.6871581Z 2022-12-01T10:50:32.6871710Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6871930Z ========== 2022-12-01T10:50:32.6872076Z ok (0.049s) 2022-12-01T10:50:32.6872287Z test_prod_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6872546Z test_pyobj_preserved (__main__.TestTorch) ... ok (0.022s) 2022-12-01T10:50:32.6872808Z test_pytorch_library_disabled_env (__main__.TestTorch) ... ok (0.773s) 2022-12-01T10:50:32.6873070Z test_qengine (__main__.TestTorch) ... ok (0.007s) 2022-12-01T10:50:32.6873321Z test_renorm_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6873582Z test_resurrected_weak_ref (__main__.TestTorch) ... ok (0.019s) 2022-12-01T10:50:32.6873875Z test_reversed (__main__.TestTorch) ... skip: TorchDynamo fails with unknown reason (0.001s) 2022-12-01T10:50:32.6874170Z test_scatter_neg_dim (__main__.TestTorch) ... ok (0.008s) 2022-12-01T10:50:32.6874425Z test_select_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-12-01T10:50:32.6874709Z test_set_flush_denormal (__main__.TestTorch) ... skip: flush_denormal not supported (0.001s) 2022-12-01T10:50:32.6875019Z test_setting_real_imag_to_a_number (__main__.TestTorch) ... ok (0.019s) 2022-12-01T10:50:32.6875480Z test_show_config (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_show_config test_torch.py line 6904 2022-12-01T10:50:32.6875768Z due to: 2022-12-01T10:50:32.6875939Z Traceback (most recent call last): 2022-12-01T10:50:32.6876220Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6876647Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6877075Z AssertionError: torch.* op returned non-Tensor str call_function 2022-12-01T10:50:32.6877275Z 2022-12-01T10:50:32.6877346Z from user code: 2022-12-01T10:50:32.6877561Z File "test_torch.py", line 6906, in test_show_config 2022-12-01T10:50:32.6877767Z torch.__config__.show() 2022-12-01T10:50:32.6877887Z 2022-12-01T10:50:32.6878018Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6878241Z ========== 2022-12-01T10:50:32.6878403Z ok (0.002s) 2022-12-01T10:50:32.6878599Z test_size_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-12-01T10:50:32.6879023Z test_sizeof (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sizeof test_torch.py line 6752 2022-12-01T10:50:32.6879299Z due to: 2022-12-01T10:50:32.6879473Z Traceback (most recent call last): 2022-12-01T10:50:32.6879751Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6880178Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6880612Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.6880793Z 2022-12-01T10:50:32.6880866Z from user code: 2022-12-01T10:50:32.6881076Z File "test_torch.py", line 6753, in test_sizeof 2022-12-01T10:50:32.6881325Z sizeof_empty = torch.randn(0).storage().__sizeof__() 2022-12-01T10:50:32.6881458Z 2022-12-01T10:50:32.6881591Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6881811Z ========== 2022-12-01T10:50:32.6881973Z ok (0.004s) 2022-12-01T10:50:32.6882158Z test_slice (__main__.TestTorch) ... ok (0.137s) 2022-12-01T10:50:32.6882512Z test_slow_test (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:50:32.6883037Z test_sobolengine_bounds (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_bounds test_torch.py line 6031 2022-12-01T10:50:32.6883338Z due to: 2022-12-01T10:50:32.6883511Z Traceback (most recent call last): 2022-12-01T10:50:32.6883873Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6884205Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6884778Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6885073Z 2022-12-01T10:50:32.6885213Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6885379Z 2022-12-01T10:50:32.6885472Z Traceback (most recent call last): 2022-12-01T10:50:32.6885754Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6886021Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6886256Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6886401Z 2022-12-01T10:50:32.6886470Z from user code: 2022-12-01T10:50:32.6886684Z File "test_torch.py", line 6032, in test_sobolengine_bounds 2022-12-01T10:50:32.6887124Z engine = torch.quasirandom.SobolEngine(100, scramble=scramble, seed=123456) 2022-12-01T10:50:32.6887311Z 2022-12-01T10:50:32.6887444Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6887727Z ========== 2022-12-01T10:50:32.6887876Z ok (0.007s) 2022-12-01T10:50:32.6888108Z test_sobolengine_bounds_scrambled (__main__.TestTorch) ... ok (0.029s) 2022-12-01T10:50:32.6888616Z test_sobolengine_continuing (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_continuing test_torch.py line 6062 2022-12-01T10:50:32.6888913Z due to: 2022-12-01T10:50:32.6889106Z Traceback (most recent call last): 2022-12-01T10:50:32.6889461Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6889776Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6890368Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6890665Z 2022-12-01T10:50:32.6890805Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6890974Z 2022-12-01T10:50:32.6891066Z Traceback (most recent call last): 2022-12-01T10:50:32.6891334Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6891611Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6891850Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6891998Z 2022-12-01T10:50:32.6892056Z from user code: 2022-12-01T10:50:32.6892284Z File "test_torch.py", line 6064, in test_sobolengine_continuing 2022-12-01T10:50:32.6892590Z engine = torch.quasirandom.SobolEngine(2, scramble=scramble, seed=123456) 2022-12-01T10:50:32.6892775Z 2022-12-01T10:50:32.6892975Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6893182Z ========== 2022-12-01T10:50:32.6893345Z ok (0.018s) 2022-12-01T10:50:32.6893584Z test_sobolengine_continuing_scrambled (__main__.TestTorch) ... ok (0.009s) 2022-12-01T10:50:32.6894082Z test_sobolengine_distribution (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_distribution test_torch.py line 6107 2022-12-01T10:50:32.6894399Z due to: 2022-12-01T10:50:32.6894586Z Traceback (most recent call last): 2022-12-01T10:50:32.6894927Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6895294Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6895886Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6896182Z 2022-12-01T10:50:32.6896321Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6896488Z 2022-12-01T10:50:32.6896566Z Traceback (most recent call last): 2022-12-01T10:50:32.6896846Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6897122Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6897363Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6897492Z 2022-12-01T10:50:32.6897564Z from user code: 2022-12-01T10:50:32.6897799Z File "test_torch.py", line 6109, in test_sobolengine_distribution 2022-12-01T10:50:32.6898110Z engine = torch.quasirandom.SobolEngine(d, scramble=scramble, seed=123456) 2022-12-01T10:50:32.6898293Z 2022-12-01T10:50:32.6898411Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6898634Z ========== 2022-12-01T10:50:32.6898798Z ok (0.009s) 2022-12-01T10:50:32.6899024Z test_sobolengine_distribution_scrambled (__main__.TestTorch) ... ok (0.007s) 2022-12-01T10:50:32.6899513Z test_sobolengine_draw (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_draw test_torch.py line 6040 2022-12-01T10:50:32.6899811Z due to: 2022-12-01T10:50:32.6900000Z Traceback (most recent call last): 2022-12-01T10:50:32.6900339Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6900667Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6901254Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6901550Z 2022-12-01T10:50:32.6901690Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6901842Z 2022-12-01T10:50:32.6901937Z Traceback (most recent call last): 2022-12-01T10:50:32.6902224Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6902501Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6902727Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6902874Z 2022-12-01T10:50:32.6902947Z from user code: 2022-12-01T10:50:32.6903170Z File "test_torch.py", line 6042, in test_sobolengine_draw 2022-12-01T10:50:32.6903457Z engine = torch.quasirandom.SobolEngine(2, scramble=scramble, seed=123456) 2022-12-01T10:50:32.6903639Z 2022-12-01T10:50:32.6903773Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6903996Z ========== 2022-12-01T10:50:32.6904158Z ok (0.107s) 2022-12-01T10:50:32.6904583Z test_sobolengine_draw_base2 (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_draw_base2 test_torch.py line 6124 2022-12-01T10:50:32.6904888Z due to: 2022-12-01T10:50:32.6905074Z Traceback (most recent call last): 2022-12-01T10:50:32.6905417Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6905788Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6906375Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6906670Z 2022-12-01T10:50:32.6906807Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6906975Z 2022-12-01T10:50:32.6907054Z Traceback (most recent call last): 2022-12-01T10:50:32.6907363Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6907639Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6907863Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6908005Z 2022-12-01T10:50:32.6908076Z from user code: 2022-12-01T10:50:32.6908308Z File "test_torch.py", line 6126, in test_sobolengine_draw_base2 2022-12-01T10:50:32.6908619Z engine = torch.quasirandom.SobolEngine(2, scramble=scramble, seed=123456) 2022-12-01T10:50:32.6908785Z 2022-12-01T10:50:32.6908921Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6909140Z ========== 2022-12-01T10:50:32.6909300Z ok (0.009s) 2022-12-01T10:50:32.6909522Z test_sobolengine_draw_base2_scrambled (__main__.TestTorch) ... ok (0.004s) 2022-12-01T10:50:32.6909811Z test_sobolengine_draw_scrambled (__main__.TestTorch) ... ok (0.004s) 2022-12-01T10:50:32.6910312Z test_sobolengine_fast_forward (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_fast_forward test_torch.py line 6085 2022-12-01T10:50:32.6910623Z due to: 2022-12-01T10:50:32.6910797Z Traceback (most recent call last): 2022-12-01T10:50:32.6911147Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6911474Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6912043Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6912336Z 2022-12-01T10:50:32.6912473Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6912643Z 2022-12-01T10:50:32.6912737Z Traceback (most recent call last): 2022-12-01T10:50:32.6913018Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6913276Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6913515Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6913659Z 2022-12-01T10:50:32.6913732Z from user code: 2022-12-01T10:50:32.6913948Z File "test_torch.py", line 6087, in test_sobolengine_fast_forward 2022-12-01T10:50:32.6914101Z engine = torch.quasirandom.SobolEngine(2, scramble=scramble, seed=123456) 2022-12-01T10:50:32.6914109Z 2022-12-01T10:50:32.6914244Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6914310Z ========== 2022-12-01T10:50:32.6914378Z ok (0.010s) 2022-12-01T10:50:32.6914519Z test_sobolengine_fast_forward_scrambled (__main__.TestTorch) ... ok (0.005s) 2022-12-01T10:50:32.6914863Z test_sobolengine_first_point (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_first_point test_torch.py line 6050 2022-12-01T10:50:32.6914916Z due to: 2022-12-01T10:50:32.6915008Z Traceback (most recent call last): 2022-12-01T10:50:32.6915241Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6915386Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6915801Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6915840Z 2022-12-01T10:50:32.6915977Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6915982Z 2022-12-01T10:50:32.6916074Z Traceback (most recent call last): 2022-12-01T10:50:32.6916231Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6916329Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6916423Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6916428Z 2022-12-01T10:50:32.6916499Z from user code: 2022-12-01T10:50:32.6916628Z File "test_torch.py", line 6052, in test_sobolengine_first_point 2022-12-01T10:50:32.6916797Z engine = torch.quasirandom.SobolEngine(2, scramble=False) 2022-12-01T10:50:32.6916803Z 2022-12-01T10:50:32.6916937Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6917003Z ========== 2022-12-01T10:50:32.6917069Z ok (0.008s) 2022-12-01T10:50:32.6917405Z test_sobolengine_high_dim (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_high_dim test_torch.py line 6141 2022-12-01T10:50:32.6917458Z due to: 2022-12-01T10:50:32.6917550Z Traceback (most recent call last): 2022-12-01T10:50:32.6917778Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6917923Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6918348Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6918356Z 2022-12-01T10:50:32.6918493Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6918498Z 2022-12-01T10:50:32.6918589Z Traceback (most recent call last): 2022-12-01T10:50:32.6918745Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6918844Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6918939Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6918944Z 2022-12-01T10:50:32.6919015Z from user code: 2022-12-01T10:50:32.6919140Z File "test_torch.py", line 6142, in test_sobolengine_high_dim 2022-12-01T10:50:32.6919293Z engine = torch.quasirandom.SobolEngine(1111, scramble=False, seed=123456) 2022-12-01T10:50:32.6919298Z 2022-12-01T10:50:32.6919430Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6919495Z ========== 2022-12-01T10:50:32.6919564Z ok (0.007s) 2022-12-01T10:50:32.6919673Z test_sobolengine_raise (__main__.TestTorch) ... ok (0.006s) 2022-12-01T10:50:32.6919996Z test_sobolengine_reset (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sobolengine_reset test_torch.py line 6073 2022-12-01T10:50:32.6920062Z due to: 2022-12-01T10:50:32.6920152Z Traceback (most recent call last): 2022-12-01T10:50:32.6920383Z File "/opt/conda/lib/python3.7/site-packages/torch/quasirandom.py", line 60, in __init__ 2022-12-01T10:50:32.6920528Z torch._sobol_engine_initialize_state_(self.sobolstate, self.dimension) 2022-12-01T10:50:32.6920946Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.6920951Z 2022-12-01T10:50:32.6921087Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6921092Z 2022-12-01T10:50:32.6921182Z Traceback (most recent call last): 2022-12-01T10:50:32.6921327Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6921425Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6921532Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6921537Z 2022-12-01T10:50:32.6921608Z from user code: 2022-12-01T10:50:32.6921763Z File "test_torch.py", line 6075, in test_sobolengine_reset 2022-12-01T10:50:32.6921919Z engine = torch.quasirandom.SobolEngine(2, scramble=scramble, seed=123456) 2022-12-01T10:50:32.6921924Z 2022-12-01T10:50:32.6922056Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6922120Z ========== 2022-12-01T10:50:32.6922172Z ok (0.008s) 2022-12-01T10:50:32.6922305Z test_sobolengine_reset_scrambled (__main__.TestTorch) ... ok (0.004s) 2022-12-01T10:50:32.6922418Z test_sort_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6922532Z test_split_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6922679Z test_squeeze_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6922790Z test_std_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6922902Z test_storage_casts (__main__.TestTorch) ... ok (3.049s) 2022-12-01T10:50:32.6923001Z test_storage_error (__main__.TestTorch) ... ok (0.061s) 2022-12-01T10:50:32.6923134Z test_storage_error_no_attribute (__main__.TestTorch) ... ok (0.005s) 2022-12-01T10:50:32.6923249Z test_structseq_repr (__main__.TestTorch) ... ok (0.018s) 2022-12-01T10:50:32.6923372Z test_subclass_preserved (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6923488Z test_subclass_tensors (__main__.TestTorch) ... ok (0.007s) 2022-12-01T10:50:32.6923596Z test_sum_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6923891Z test_t_not_2d_error (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6878 2022-12-01T10:50:32.6923958Z due to: 2022-12-01T10:50:32.6924035Z Traceback (most recent call last): 2022-12-01T10:50:32.6924257Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.6924359Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.6924495Z RuntimeError: t() expects a tensor with <= 2 dimensions, but self is 3D 2022-12-01T10:50:32.6924500Z 2022-12-01T10:50:32.6924641Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6924646Z 2022-12-01T10:50:32.6924736Z Traceback (most recent call last): 2022-12-01T10:50:32.6924893Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6924989Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6925084Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6925088Z 2022-12-01T10:50:32.6925158Z from user code: 2022-12-01T10:50:32.6925261Z File "test_torch.py", line 6878, in 2022-12-01T10:50:32.6925400Z self.assertRaises(RuntimeError, lambda: torch.randn(2, 3, 4).t()) 2022-12-01T10:50:32.6925404Z 2022-12-01T10:50:32.6925537Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6925601Z ========== 2022-12-01T10:50:32.6925822Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 6879 2022-12-01T10:50:32.6925887Z due to: 2022-12-01T10:50:32.6925965Z Traceback (most recent call last): 2022-12-01T10:50:32.6926185Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.6926285Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.6926421Z RuntimeError: t_() expects a tensor with <= 2 dimensions, but self is 3D 2022-12-01T10:50:32.6926427Z 2022-12-01T10:50:32.6926563Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6926568Z 2022-12-01T10:50:32.6926659Z Traceback (most recent call last): 2022-12-01T10:50:32.6926815Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6926912Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6927234Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6927243Z 2022-12-01T10:50:32.6927321Z from user code: 2022-12-01T10:50:32.6927426Z File "test_torch.py", line 6879, in 2022-12-01T10:50:32.6927566Z self.assertRaises(RuntimeError, lambda: torch.randn(2, 3, 4).t_()) 2022-12-01T10:50:32.6927722Z 2022-12-01T10:50:32.6927863Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6927930Z ========== 2022-12-01T10:50:32.6927998Z ok (0.027s) 2022-12-01T10:50:32.6928298Z test_tensor_base_init (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 8017 2022-12-01T10:50:32.6928363Z due to: 2022-12-01T10:50:32.6928453Z Traceback (most recent call last): 2022-12-01T10:50:32.6928616Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6928723Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6928923Z RuntimeError: Cannot directly construct _TensorBase; subclass it and then construct that 2022-12-01T10:50:32.6928929Z 2022-12-01T10:50:32.6929068Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6929073Z 2022-12-01T10:50:32.6929165Z Traceback (most recent call last): 2022-12-01T10:50:32.6929310Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6929409Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6929517Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6929522Z 2022-12-01T10:50:32.6929591Z from user code: 2022-12-01T10:50:32.6929694Z File "test_torch.py", line 8017, in 2022-12-01T10:50:32.6929831Z self.assertRaises(RuntimeError, lambda: torch._C._TensorBase()) 2022-12-01T10:50:32.6929836Z 2022-12-01T10:50:32.6929968Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6930035Z ========== 2022-12-01T10:50:32.6930294Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 8017 2022-12-01T10:50:32.6930358Z due to: 2022-12-01T10:50:32.6930452Z Traceback (most recent call last): 2022-12-01T10:50:32.6930604Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:50:32.6930686Z raise Unsupported(msg) 2022-12-01T10:50:32.6930816Z torchdynamo.exc.Unsupported: missing: LOAD_BUILD_CLASS 2022-12-01T10:50:32.6930821Z 2022-12-01T10:50:32.6930893Z from user code: 2022-12-01T10:50:32.6931029Z File "test_torch.py", line 8020, in 2022-12-01T10:50:32.6931106Z class T(torch._C._TensorBase): 2022-12-01T10:50:32.6931112Z 2022-12-01T10:50:32.6931245Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6931310Z ========== 2022-12-01T10:50:32.6931375Z ok (0.009s) 2022-12-01T10:50:32.6931667Z test_tensor_base_new (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __new__ test_torch.py line 8030 2022-12-01T10:50:32.6931735Z due to: 2022-12-01T10:50:32.6931827Z Traceback (most recent call last): 2022-12-01T10:50:32.6931984Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:50:32.6932113Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:50:32.6932279Z NotImplementedError: UserDefinedObjectVariable(_TensorMeta) is not a constant 2022-12-01T10:50:32.6932284Z 2022-12-01T10:50:32.6932359Z from user code: 2022-12-01T10:50:32.6932461Z File "test_torch.py", line 8032, in __new__ 2022-12-01T10:50:32.6932568Z return super().__new__(cls, x, *args, **kwargs) 2022-12-01T10:50:32.6932573Z 2022-12-01T10:50:32.6932705Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6932771Z ========== 2022-12-01T10:50:32.6932826Z ok (0.005s) 2022-12-01T10:50:32.6933149Z test_tensor_ctor_scalar (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensor_ctor_scalar test_torch.py line 7998 2022-12-01T10:50:32.6933219Z due to: 2022-12-01T10:50:32.6933316Z Traceback (most recent call last): 2022-12-01T10:50:32.6933483Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.6933592Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.6933847Z RuntimeError: Creating a new Tensor subclass Tensor but the raw Tensor object is already associated to a python object of type FakeTensor 2022-12-01T10:50:32.6933853Z 2022-12-01T10:50:32.6933992Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6933997Z 2022-12-01T10:50:32.6934077Z Traceback (most recent call last): 2022-12-01T10:50:32.6934234Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6934336Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6934445Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6934449Z 2022-12-01T10:50:32.6934521Z from user code: 2022-12-01T10:50:32.6934675Z File "test_torch.py", line 7999, in test_tensor_ctor_scalar 2022-12-01T10:50:32.6934779Z x = torch.Tensor(torch.tensor(1.0)) 2022-12-01T10:50:32.6934784Z 2022-12-01T10:50:32.6934917Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6934971Z ========== 2022-12-01T10:50:32.6935044Z ok (0.004s) 2022-12-01T10:50:32.6935215Z test_tensor_cycle_via_dict (__main__.TestTorch) ... skip: Not a suitable test for TorchDynamo (0.001s) 2022-12-01T10:50:32.6935343Z test_tensor_cycle_via_slots (__main__.TestTorch) ... ok (0.102s) 2022-12-01T10:50:32.6935515Z test_tensor_dict_dealloc (__main__.TestTorch) ... skip: Not a suitable test for TorchDynamo (0.001s) 2022-12-01T10:50:32.6935648Z test_tensor_finalizer_dealloc (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6935946Z test_tensor_set (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensor_set test_torch.py line 5718 2022-12-01T10:50:32.6936014Z due to: 2022-12-01T10:50:32.6936098Z Traceback (most recent call last): 2022-12-01T10:50:32.6936256Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6936507Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6936724Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.6936730Z 2022-12-01T10:50:32.6936800Z from user code: 2022-12-01T10:50:32.6936912Z File "test_torch.py", line 5722, in test_tensor_set 2022-12-01T10:50:32.6937039Z self.assertEqual(t1.storage()._cdata, t2.storage()._cdata) 2022-12-01T10:50:32.6937044Z 2022-12-01T10:50:32.6937177Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6937229Z ========== 2022-12-01T10:50:32.6937296Z ok (0.009s) 2022-12-01T10:50:32.6937590Z test_tensor_set_errors (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5759 2022-12-01T10:50:32.6937659Z due to: 2022-12-01T10:50:32.6937751Z Traceback (most recent call last): 2022-12-01T10:50:32.6937906Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6938154Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6938357Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.6938376Z 2022-12-01T10:50:32.6938433Z from user code: 2022-12-01T10:50:32.6938537Z File "test_torch.py", line 5759, in 2022-12-01T10:50:32.6938681Z self.assertRaises(RuntimeError, lambda: f_cpu.set_(d_cpu.storage())) 2022-12-01T10:50:32.6938686Z 2022-12-01T10:50:32.6938817Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6938881Z ========== 2022-12-01T10:50:32.6939100Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5761 2022-12-01T10:50:32.6939169Z due to: 2022-12-01T10:50:32.6939249Z Traceback (most recent call last): 2022-12-01T10:50:32.6939405Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6939655Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6939902Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.6939907Z 2022-12-01T10:50:32.6939978Z from user code: 2022-12-01T10:50:32.6940081Z File "test_torch.py", line 5761, in 2022-12-01T10:50:32.6940217Z lambda: f_cpu.set_(d_cpu.storage(), 0, d_cpu.size(), d_cpu.stride())) 2022-12-01T10:50:32.6940224Z 2022-12-01T10:50:32.6940353Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6940404Z ========== 2022-12-01T10:50:32.6940625Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5762 2022-12-01T10:50:32.6940691Z due to: 2022-12-01T10:50:32.6940825Z Traceback (most recent call last): 2022-12-01T10:50:32.6940990Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:50:32.6941123Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:50:32.6941400Z RuntimeError: source.dtype() == self.dtype() INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/generated/python_variable_methods.cpp":16761, please report a bug to PyTorch. 2022-12-01T10:50:32.6941408Z 2022-12-01T10:50:32.6941544Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6941549Z 2022-12-01T10:50:32.6941640Z Traceback (most recent call last): 2022-12-01T10:50:32.6941784Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6941881Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6941989Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6941994Z 2022-12-01T10:50:32.6942065Z from user code: 2022-12-01T10:50:32.6942170Z File "test_torch.py", line 5762, in 2022-12-01T10:50:32.6942304Z self.assertRaises(RuntimeError, lambda: f_cpu.set_(d_cpu)) 2022-12-01T10:50:32.6942309Z 2022-12-01T10:50:32.6942441Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6942507Z ========== 2022-12-01T10:50:32.6942765Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 5762 2022-12-01T10:50:32.6942831Z due to: 2022-12-01T10:50:32.6942925Z Traceback (most recent call last): 2022-12-01T10:50:32.6943080Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6943332Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6943595Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:50:32.6943600Z 2022-12-01T10:50:32.6943672Z from user code: 2022-12-01T10:50:32.6943813Z File "test_torch.py", line 5765, in 2022-12-01T10:50:32.6943891Z if torch.cuda.is_available(): 2022-12-01T10:50:32.6943896Z 2022-12-01T10:50:32.6944029Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6944095Z ========== 2022-12-01T10:50:32.6944162Z ok (0.043s) 2022-12-01T10:50:32.6944285Z test_tensor_slot_dealloc (__main__.TestTorch) ... ok (0.004s) 2022-12-01T10:50:32.6944458Z test_tensor_weakref_dealloc (__main__.TestTorch) ... skip: Not a suitable test for TorchDynamo (0.001s) 2022-12-01T10:50:32.6944815Z test_tensoriterator_output_setup (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensoriterator_output_setup test_torch.py line 7298 2022-12-01T10:50:32.6944884Z due to: 2022-12-01T10:50:32.6944963Z Traceback (most recent call last): 2022-12-01T10:50:32.6945182Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.6945282Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.6947152Z NotImplementedError: Could not run 'aten::quantize_per_tensor' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::quantize_per_tensor' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.6947189Z 2022-12-01T10:50:32.6947363Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.6947603Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:50:32.6947810Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.6948042Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.6948259Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.6948450Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.6948640Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.6948830Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.6949009Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.6949242Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.6949447Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6949650Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6949852Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6950053Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6950256Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6950458Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6950651Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6950848Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6951030Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6951230Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6952474Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6952676Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6952952Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6953165Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6953374Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6953594Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6953807Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:50:32.6954008Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:50:32.6954207Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.6954425Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.6954664Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.6954861Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.6955076Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.6955290Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.6955507Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.6955741Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.6955952Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.6955957Z 2022-12-01T10:50:32.6955961Z 2022-12-01T10:50:32.6956097Z During handling of the above exception, another exception occurred: 2022-12-01T10:50:32.6956102Z 2022-12-01T10:50:32.6956195Z Traceback (most recent call last): 2022-12-01T10:50:32.6956473Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:50:32.6956619Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:50:32.6956808Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:50:32.6956815Z 2022-12-01T10:50:32.6956950Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6956955Z 2022-12-01T10:50:32.6957045Z Traceback (most recent call last): 2022-12-01T10:50:32.6957205Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:50:32.6957271Z ) from e 2022-12-01T10:50:32.6957521Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:50:32.6957526Z 2022-12-01T10:50:32.6957664Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6957669Z 2022-12-01T10:50:32.6957763Z Traceback (most recent call last): 2022-12-01T10:50:32.6957906Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6958002Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6958111Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6958150Z 2022-12-01T10:50:32.6958223Z from user code: 2022-12-01T10:50:32.6958357Z File "test_torch.py", line 7319, in test_tensoriterator_output_setup 2022-12-01T10:50:32.6958482Z qxraw = torch.quantize_per_tensor(xraw, 0.1, 5, torch.quint8) 2022-12-01T10:50:32.6958487Z 2022-12-01T10:50:32.6958620Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6958684Z ========== 2022-12-01T10:50:32.6958910Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_memory_layout test_torch.py line 7300 2022-12-01T10:50:32.6958976Z due to: 2022-12-01T10:50:32.6959068Z Traceback (most recent call last): 2022-12-01T10:50:32.6959362Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:50:32.6959521Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:50:32.6959709Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:50:32.6959716Z 2022-12-01T10:50:32.6959849Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6959854Z 2022-12-01T10:50:32.6959945Z Traceback (most recent call last): 2022-12-01T10:50:32.6960089Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:50:32.6960156Z ) from e 2022-12-01T10:50:32.6960404Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:50:32.6960410Z 2022-12-01T10:50:32.6960541Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6960605Z ========== 2022-12-01T10:50:32.6960677Z ok (0.292s) 2022-12-01T10:50:32.6960995Z test_to (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7572 2022-12-01T10:50:32.6961062Z due to: 2022-12-01T10:50:32.6961141Z Traceback (most recent call last): 2022-12-01T10:50:32.6961300Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6961550Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6961751Z AssertionError: torch.* op returned non-Tensor int call_method data_ptr 2022-12-01T10:50:32.6961756Z 2022-12-01T10:50:32.6961828Z from user code: 2022-12-01T10:50:32.6961963Z File "test_torch.py", line 7591, in 2022-12-01T10:50:32.6962065Z test_data_ptr(lambda a: a.data_ptr()) 2022-12-01T10:50:32.6962070Z 2022-12-01T10:50:32.6962202Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6962254Z ========== 2022-12-01T10:50:32.6962480Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_data_ptr test_torch.py line 7574 2022-12-01T10:50:32.6962546Z due to: 2022-12-01T10:50:32.6962641Z Traceback (most recent call last): 2022-12-01T10:50:32.6962798Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6963046Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6963246Z AssertionError: torch.* op returned non-Tensor int call_method data_ptr 2022-12-01T10:50:32.6963251Z 2022-12-01T10:50:32.6963322Z from user code: 2022-12-01T10:50:32.6963417Z File "test_torch.py", line 7575, in test_data_ptr 2022-12-01T10:50:32.6963574Z self.assertEqual(getter(a), getter(a.to('cpu'))) 2022-12-01T10:50:32.6963579Z 2022-12-01T10:50:32.6963707Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6963771Z ========== 2022-12-01T10:50:32.6963995Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7591 2022-12-01T10:50:32.6964063Z due to: 2022-12-01T10:50:32.6964156Z Traceback (most recent call last): 2022-12-01T10:50:32.6964299Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6964583Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6964783Z AssertionError: torch.* op returned non-Tensor int call_method data_ptr 2022-12-01T10:50:32.6964788Z 2022-12-01T10:50:32.6964857Z from user code: 2022-12-01T10:50:32.6964958Z File "test_torch.py", line 7591, in 2022-12-01T10:50:32.6965059Z test_data_ptr(lambda a: a.data_ptr()) 2022-12-01T10:50:32.6965064Z 2022-12-01T10:50:32.6965195Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6965260Z ========== 2022-12-01T10:50:32.6965314Z ok (0.650s) 2022-12-01T10:50:32.6965676Z test_to_with_tensor (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7744 2022-12-01T10:50:32.6965743Z due to: 2022-12-01T10:50:32.6965834Z Traceback (most recent call last): 2022-12-01T10:50:32.6965992Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.6966242Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.6966507Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:50:32.6966512Z 2022-12-01T10:50:32.6966583Z from user code: 2022-12-01T10:50:32.6966702Z File "test_torch.py", line 7746, in 2022-12-01T10:50:32.6966793Z if torch.cuda.is_available(): 2022-12-01T10:50:32.6966798Z 2022-12-01T10:50:32.6966930Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6967137Z ========== 2022-12-01T10:50:32.6967203Z ok (0.024s) 2022-12-01T10:50:32.6967317Z test_topk_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6967696Z test_torch_from_file (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT assert_with_filename test_torch.py line 6466 2022-12-01T10:50:32.6967765Z due to: 2022-12-01T10:50:32.6967844Z Traceback (most recent call last): 2022-12-01T10:50:32.6968067Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.6968166Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.6969949Z NotImplementedError: Could not run 'aten::from_file' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::from_file' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.6969958Z 2022-12-01T10:50:32.6970127Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.6970327Z BackendSelect: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterBackendSelect.cpp:726 [kernel] 2022-12-01T10:50:32.6970521Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.6970750Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.6970963Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.6971209Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.6971396Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.6971583Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.6971762Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.6972023Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.6972230Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6972433Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6972638Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6972838Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6973037Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6973244Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6973444Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6973637Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6973820Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6974018Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6974220Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6974419Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6974633Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6974846Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6975051Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6975268Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.6975448Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:50:32.6975646Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:50:32.6975829Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.6976063Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.6976301Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.6976497Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.6976744Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.6976953Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.6977169Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.6977432Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.6977644Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.6977649Z 2022-12-01T10:50:32.6977654Z 2022-12-01T10:50:32.6977791Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6977799Z 2022-12-01T10:50:32.6977892Z Traceback (most recent call last): 2022-12-01T10:50:32.6978039Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6978135Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6978245Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6978250Z 2022-12-01T10:50:32.6978320Z from user code: 2022-12-01T10:50:32.6978441Z File "test_torch.py", line 6468, in assert_with_filename 2022-12-01T10:50:32.6978573Z s1 = torch.from_file(filename, True, size, dtype=torch.float) 2022-12-01T10:50:32.6978578Z 2022-12-01T10:50:32.6978712Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6978777Z ========== 2022-12-01T10:50:32.6978832Z ok (0.014s) 2022-12-01T10:50:32.6978952Z test_transpose_neg_dim (__main__.TestTorch) ... ok (0.004s) 2022-12-01T10:50:32.6979261Z test_type (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7699 2022-12-01T10:50:32.6979330Z due to: 2022-12-01T10:50:32.6979423Z Traceback (most recent call last): 2022-12-01T10:50:32.6979650Z File "/opt/conda/lib/python3.7/site-packages/torch/fx/proxy.py", line 165, in create_arg 2022-12-01T10:50:32.6979782Z raise NotImplementedError(f"argument of type: {type(a)}") 2022-12-01T10:50:32.6979964Z NotImplementedError: argument of type: 2022-12-01T10:50:32.6979981Z 2022-12-01T10:50:32.6980039Z from user code: 2022-12-01T10:50:32.6980165Z File "test_torch.py", line 7700, in 2022-12-01T10:50:32.6980307Z self.assertEqual(x.type(torch.FloatTensor).dtype, torch.float32) 2022-12-01T10:50:32.6980312Z 2022-12-01T10:50:32.6980445Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6980507Z ========== 2022-12-01T10:50:32.6980573Z ok (0.011s) 2022-12-01T10:50:32.6980868Z test_type_alias (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_type_alias test_torch.py line 7889 2022-12-01T10:50:32.6980923Z due to: 2022-12-01T10:50:32.6981014Z Traceback (most recent call last): 2022-12-01T10:50:32.6981172Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/dicts.py", line 201, in _key_to_var 2022-12-01T10:50:32.6981278Z assert ConstantVariable.is_literal(key) 2022-12-01T10:50:32.6981349Z AssertionError 2022-12-01T10:50:32.6981354Z 2022-12-01T10:50:32.6981426Z from user code: 2022-12-01T10:50:32.6981536Z File "test_torch.py", line 7898, in test_type_alias 2022-12-01T10:50:32.6981632Z for dtype, alias in type_alias_map.items(): 2022-12-01T10:50:32.6981649Z 2022-12-01T10:50:32.6981769Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6981832Z ========== 2022-12-01T10:50:32.6981897Z ok (0.004s) 2022-12-01T10:50:32.6982281Z test_type_conversion_via_dtype_name (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7878 2022-12-01T10:50:32.6982380Z due to: 2022-12-01T10:50:32.6982471Z Traceback (most recent call last): 2022-12-01T10:50:32.6982627Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:50:32.6982704Z return n.meta["example_value"] 2022-12-01T10:50:32.6982821Z KeyError: 'example_value' 2022-12-01T10:50:32.6982826Z 2022-12-01T10:50:32.6982895Z from user code: 2022-12-01T10:50:32.6983048Z File "test_torch.py", line 7879, in 2022-12-01T10:50:32.6983185Z self.assertEqual(cfloat.imag, torch.zeros_like(cfloat.imag)) 2022-12-01T10:50:32.6983190Z 2022-12-01T10:50:32.6983370Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6983434Z ========== 2022-12-01T10:50:32.6983500Z ok (0.116s) 2022-12-01T10:50:32.6983604Z test_unbind_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6983713Z test_unflatten (__main__.TestTorch) ... ok (0.272s) 2022-12-01T10:50:32.6983831Z test_unfold_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6983949Z test_unsqueeze_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6984291Z test_upsample_nearest1d_meta (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_upsample_nearest1d_meta test_torch.py line 7166 2022-12-01T10:50:32.6984357Z due to: 2022-12-01T10:50:32.6984447Z Traceback (most recent call last): 2022-12-01T10:50:32.6984685Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6984773Z assert device.type != "meta" 2022-12-01T10:50:32.6984847Z AssertionError 2022-12-01T10:50:32.6984854Z 2022-12-01T10:50:32.6984928Z from user code: 2022-12-01T10:50:32.6985058Z File "test_torch.py", line 7173, in test_upsample_nearest1d_meta 2022-12-01T10:50:32.6985225Z x = torch.empty(2 * 10 ** 8, 3, 2 * 10 ** 8, device='meta') 2022-12-01T10:50:32.6985229Z 2022-12-01T10:50:32.6985365Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6985430Z ========== 2022-12-01T10:50:32.6985636Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7176 2022-12-01T10:50:32.6985702Z due to: 2022-12-01T10:50:32.6985796Z Traceback (most recent call last): 2022-12-01T10:50:32.6986046Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6986134Z assert device.type != "meta" 2022-12-01T10:50:32.6986206Z AssertionError 2022-12-01T10:50:32.6986211Z 2022-12-01T10:50:32.6986340Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6986403Z ========== 2022-12-01T10:50:32.6986611Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7187 2022-12-01T10:50:32.6986678Z due to: 2022-12-01T10:50:32.6986769Z Traceback (most recent call last): 2022-12-01T10:50:32.6987015Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6987107Z assert device.type != "meta" 2022-12-01T10:50:32.6987179Z AssertionError 2022-12-01T10:50:32.6987186Z 2022-12-01T10:50:32.6987316Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6987368Z ========== 2022-12-01T10:50:32.6987432Z ok (0.014s) 2022-12-01T10:50:32.6987772Z test_upsample_nearest2d_meta (__main__.TestTorch) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_upsample_nearest2d_meta test_torch.py line 7189 2022-12-01T10:50:32.6987836Z due to: 2022-12-01T10:50:32.6987929Z Traceback (most recent call last): 2022-12-01T10:50:32.6988178Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6988265Z assert device.type != "meta" 2022-12-01T10:50:32.6988324Z AssertionError 2022-12-01T10:50:32.6988342Z 2022-12-01T10:50:32.6988399Z from user code: 2022-12-01T10:50:32.6988526Z File "test_torch.py", line 7197, in test_upsample_nearest2d_meta 2022-12-01T10:50:32.6988704Z x = torch.empty(4, 3, 8, 8, device='meta') 2022-12-01T10:50:32.6988709Z 2022-12-01T10:50:32.6988838Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6988901Z ========== 2022-12-01T10:50:32.6989118Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7217 2022-12-01T10:50:32.6989181Z due to: 2022-12-01T10:50:32.6989259Z Traceback (most recent call last): 2022-12-01T10:50:32.6989503Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6989592Z assert device.type != "meta" 2022-12-01T10:50:32.6989663Z AssertionError 2022-12-01T10:50:32.6989697Z 2022-12-01T10:50:32.6989829Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6989892Z ========== 2022-12-01T10:50:32.6990110Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 7225 2022-12-01T10:50:32.6990162Z due to: 2022-12-01T10:50:32.6990256Z Traceback (most recent call last): 2022-12-01T10:50:32.6990504Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:50:32.6990591Z assert device.type != "meta" 2022-12-01T10:50:32.6990662Z AssertionError 2022-12-01T10:50:32.6990667Z 2022-12-01T10:50:32.6990798Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6990863Z ========== 2022-12-01T10:50:32.6990917Z ok (0.020s) 2022-12-01T10:50:32.6991031Z test_var_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-12-01T10:50:32.6991149Z test_wildcard_import (__main__.TestTorch) ... ok (0.005s) 2022-12-01T10:50:32.6991303Z test_addcdiv_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.052s) 2022-12-01T10:50:32.6991455Z test_addcdiv_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.6991602Z test_addcdiv_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:50:32.6991744Z test_addcdiv_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:50:32.6991883Z test_addcdiv_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.6992013Z test_addcdiv_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.6992153Z test_addcdiv_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.6992291Z test_addcdiv_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.6992427Z test_addcdiv_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6992570Z test_addcmul_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.6992716Z test_addcmul_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6992856Z test_addcmul_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6992994Z test_addcmul_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6993124Z test_addcmul_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6993264Z test_addcmul_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6993401Z test_addcmul_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6993543Z test_addcmul_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6993681Z test_addcmul_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.6993868Z test_assertRaisesRegex_ignore_msg_non_native_device_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.6994099Z test_bernoulli_edge_cases_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:50:32.6994321Z test_bernoulli_edge_cases_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:50:32.6994659Z test_bernoulli_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.6994797Z test_bernoulli_p_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.6994942Z test_bernoulli_p_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6995086Z test_bernoulli_p_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.6995229Z test_bernoulli_self_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:50:32.6995378Z test_bernoulli_self_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.6995562Z test_bernoulli_self_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.6995709Z test_bernoulli_self_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.6995857Z test_bernoulli_self_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.6995991Z test_bernoulli_self_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.6996138Z test_bernoulli_self_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.6996281Z test_bernoulli_self_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.6996427Z test_bfloat16_float_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.048s) 2022-12-01T10:50:32.6996580Z test_bool_tensor_value_change_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:50:32.6996948Z test_broadcast_fn_add_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_in_place_broadcastable test_torch.py line 1066 2022-12-01T10:50:32.6997017Z due to: 2022-12-01T10:50:32.6997109Z Traceback (most recent call last): 2022-12-01T10:50:32.6997312Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.6997412Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.6997637Z RuntimeError: expand(MetaFloatType{[2, 1, 2, 1]}, size=[1]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (4) 2022-12-01T10:50:32.6997643Z 2022-12-01T10:50:32.6997780Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6997785Z 2022-12-01T10:50:32.6997874Z Traceback (most recent call last): 2022-12-01T10:50:32.6998032Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.6998128Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.6998237Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.6998244Z 2022-12-01T10:50:32.6998313Z from user code: 2022-12-01T10:50:32.6998426Z File "test_torch.py", line 1067, in _test_in_place_broadcastable 2022-12-01T10:50:32.6998517Z if not broadcastable(t0, t1, t2): 2022-12-01T10:50:32.6998522Z 2022-12-01T10:50:32.6998655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.6998721Z ========== 2022-12-01T10:50:32.6998954Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT broadcastable test_torch.py line 1057 2022-12-01T10:50:32.6999019Z due to: 2022-12-01T10:50:32.6999109Z Traceback (most recent call last): 2022-12-01T10:50:32.6999309Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.6999406Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.6999629Z RuntimeError: expand(MetaFloatType{[2, 1, 2, 1]}, size=[1]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (4) 2022-12-01T10:50:32.6999634Z 2022-12-01T10:50:32.6999772Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.6999777Z 2022-12-01T10:50:32.6999868Z Traceback (most recent call last): 2022-12-01T10:50:32.7000026Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7000158Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7000264Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7000268Z 2022-12-01T10:50:32.7000335Z from user code: 2022-12-01T10:50:32.7000432Z File "test_torch.py", line 1059, in broadcastable 2022-12-01T10:50:32.7000506Z t1.expand_as(t0) 2022-12-01T10:50:32.7000511Z 2022-12-01T10:50:32.7000640Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7000701Z ========== 2022-12-01T10:50:32.7000925Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 1070 2022-12-01T10:50:32.7000988Z due to: 2022-12-01T10:50:32.7001078Z Traceback (most recent call last): 2022-12-01T10:50:32.7001311Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7001409Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7001620Z RuntimeError: output with shape [1] doesn't match the broadcast shape [2, 1, 2, 1] 2022-12-01T10:50:32.7001628Z 2022-12-01T10:50:32.7001761Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7001766Z 2022-12-01T10:50:32.7001855Z Traceback (most recent call last): 2022-12-01T10:50:32.7002008Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7002103Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7002208Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7002213Z 2022-12-01T10:50:32.7002284Z from user code: 2022-12-01T10:50:32.7002373Z File "test_torch.py", line 1070, in 2022-12-01T10:50:32.7002515Z self.assertRaises(RuntimeError, lambda: tensorfn_inplace(t0, t1, t2)) 2022-12-01T10:50:32.7002520Z 2022-12-01T10:50:32.7002651Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7002714Z ========== 2022-12-01T10:50:32.7002952Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tensorfn_inplace test_torch.py line 1032 2022-12-01T10:50:32.7003015Z due to: 2022-12-01T10:50:32.7003106Z Traceback (most recent call last): 2022-12-01T10:50:32.7003308Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7003411Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7003626Z RuntimeError: output with shape [1] doesn't match the broadcast shape [2, 1, 2, 1] 2022-12-01T10:50:32.7003631Z 2022-12-01T10:50:32.7003766Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7003771Z 2022-12-01T10:50:32.7003861Z Traceback (most recent call last): 2022-12-01T10:50:32.7004019Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7004116Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7004222Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7004226Z 2022-12-01T10:50:32.7004284Z from user code: 2022-12-01T10:50:32.7004395Z File "test_torch.py", line 1049, in tensorfn_inplace 2022-12-01T10:50:32.7004469Z return t0_fn(t1) 2022-12-01T10:50:32.7004476Z 2022-12-01T10:50:32.7004605Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7004666Z ========== 2022-12-01T10:50:32.7004732Z ok (0.134s) 2022-12-01T10:50:32.7004886Z test_broadcast_fn_addcdiv_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s) 2022-12-01T10:50:32.7005037Z test_broadcast_fn_addcmul_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:50:32.7005174Z test_broadcast_fn_atan2_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7005320Z test_broadcast_fn_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7005467Z test_broadcast_fn_dist_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7005615Z test_broadcast_fn_div_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7005760Z test_broadcast_fn_eq_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7005907Z test_broadcast_fn_fmod_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7006085Z test_broadcast_fn_ge_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7006228Z test_broadcast_fn_gt_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7006357Z test_broadcast_fn_le_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7006499Z test_broadcast_fn_lerp_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7006642Z test_broadcast_fn_lt_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7006790Z test_broadcast_fn_map2_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7007126Z test_broadcast_fn_map_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.7007339Z test_broadcast_fn_masked_fill_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.7007500Z test_broadcast_fn_masked_scatter_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:50:32.7007729Z test_broadcast_fn_masked_select_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7007863Z test_broadcast_fn_max_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7008005Z test_broadcast_fn_min_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7008145Z test_broadcast_fn_mul_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7008287Z test_broadcast_fn_ne_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7008433Z test_broadcast_fn_pow_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7008590Z test_broadcast_fn_remainder_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7008736Z test_broadcast_fn_sub_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7008885Z test_bytes_to_scalar_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7009030Z test_bytes_to_scalar_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:50:32.7009186Z test_bytes_to_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7009336Z test_bytes_to_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7009483Z test_bytes_to_scalar_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7009633Z test_bytes_to_scalar_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7009778Z test_bytes_to_scalar_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7009925Z test_bytes_to_scalar_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7010075Z test_bytes_to_scalar_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7010209Z test_bytes_to_scalar_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7010362Z test_cauchy_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.236s) 2022-12-01T10:50:32.7010510Z test_cauchy_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7010652Z test_cauchy_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7010792Z test_cauchy_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7011012Z test_cauchy_no_inf_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:50:32.7011232Z test_cauchy_no_inf_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:50:32.7011405Z test_cdist_cuda_backward_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:50:32.7011756Z test_cdist_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cdist_empty test_torch.py line 2054 2022-12-01T10:50:32.7011863Z due to: 2022-12-01T10:50:32.7011955Z Traceback (most recent call last): 2022-12-01T10:50:32.7012219Z File "/opt/conda/lib/python3.7/site-packages/torch/_meta_registrations.py", line 708, in meta_cdist_forward 2022-12-01T10:50:32.7012320Z compute_mode >= 0 and compute_mode <= 2, 2022-12-01T10:50:32.7012516Z TypeError: '>=' not supported between instances of 'NoneType' and 'int' 2022-12-01T10:50:32.7012522Z 2022-12-01T10:50:32.7012594Z from user code: 2022-12-01T10:50:32.7012705Z File "test_torch.py", line 2057, in test_cdist_empty 2022-12-01T10:50:32.7012847Z self.assertEqual(torch.empty(0, 4, device=device), torch.cdist(x, y)) 2022-12-01T10:50:32.7012884Z 2022-12-01T10:50:32.7013007Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7013073Z ========== 2022-12-01T10:50:32.7013138Z ok (0.007s) 2022-12-01T10:50:32.7013288Z test_cdist_euclidean_large_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.048s) 2022-12-01T10:50:32.7013445Z test_cdist_grad_p_lt_1_no_nan_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:50:32.7013658Z test_cdist_large_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:50:32.7013798Z test_cdist_large_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.083s) 2022-12-01T10:50:32.7014178Z test_cdist_non_contiguous_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cdist_non_contiguous_batch test_torch.py line 2183 2022-12-01T10:50:32.7014230Z due to: 2022-12-01T10:50:32.7014322Z Traceback (most recent call last): 2022-12-01T10:50:32.7014480Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:50:32.7014570Z return n.meta["example_value"] 2022-12-01T10:50:32.7014682Z KeyError: 'example_value' 2022-12-01T10:50:32.7014687Z 2022-12-01T10:50:32.7014756Z from user code: 2022-12-01T10:50:32.7014889Z File "test_torch.py", line 2188, in test_cdist_non_contiguous_batch 2022-12-01T10:50:32.7014999Z actual = torch.cdist(x, y, p=2, compute_mode=cm) 2022-12-01T10:50:32.7015004Z 2022-12-01T10:50:32.7015123Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7015185Z ========== 2022-12-01T10:50:32.7015254Z ok (0.033s) 2022-12-01T10:50:32.7015615Z test_cdist_non_contiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cdist_non_contiguous test_torch.py line 2156 2022-12-01T10:50:32.7015680Z due to: 2022-12-01T10:50:32.7015772Z Traceback (most recent call last): 2022-12-01T10:50:32.7015927Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 67, in visit 2022-12-01T10:50:32.7016002Z return n.meta["example_value"] 2022-12-01T10:50:32.7016112Z KeyError: 'example_value' 2022-12-01T10:50:32.7016117Z 2022-12-01T10:50:32.7016187Z from user code: 2022-12-01T10:50:32.7016311Z File "test_torch.py", line 2161, in test_cdist_non_contiguous 2022-12-01T10:50:32.7016423Z actual = torch.cdist(x, y, p=2, compute_mode=cm) 2022-12-01T10:50:32.7016427Z 2022-12-01T10:50:32.7016556Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7016621Z ========== 2022-12-01T10:50:32.7016686Z ok (0.036s) 2022-12-01T10:50:32.7017022Z test_cdist_norm_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cdist_norm_batch test_torch.py line 2096 2022-12-01T10:50:32.7017084Z due to: 2022-12-01T10:50:32.7017175Z Traceback (most recent call last): 2022-12-01T10:50:32.7017433Z File "/opt/conda/lib/python3.7/site-packages/torch/_meta_registrations.py", line 708, in meta_cdist_forward 2022-12-01T10:50:32.7017536Z compute_mode >= 0 and compute_mode <= 2, 2022-12-01T10:50:32.7017732Z TypeError: '>=' not supported between instances of 'NoneType' and 'int' 2022-12-01T10:50:32.7017737Z 2022-12-01T10:50:32.7017805Z from user code: 2022-12-01T10:50:32.7017957Z File "test_torch.py", line 2110, in test_cdist_norm_batch 2022-12-01T10:50:32.7018033Z actual = torch.cdist(x, y, p=p) 2022-12-01T10:50:32.7018038Z 2022-12-01T10:50:32.7018164Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7018227Z ========== 2022-12-01T10:50:32.7018292Z ok (0.229s) 2022-12-01T10:50:32.7018624Z test_cdist_norm_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cdist_norm test_torch.py line 2078 2022-12-01T10:50:32.7018689Z due to: 2022-12-01T10:50:32.7018779Z Traceback (most recent call last): 2022-12-01T10:50:32.7019058Z File "/opt/conda/lib/python3.7/site-packages/torch/_meta_registrations.py", line 708, in meta_cdist_forward 2022-12-01T10:50:32.7019160Z compute_mode >= 0 and compute_mode <= 2, 2022-12-01T10:50:32.7019353Z TypeError: '>=' not supported between instances of 'NoneType' and 'int' 2022-12-01T10:50:32.7019358Z 2022-12-01T10:50:32.7019427Z from user code: 2022-12-01T10:50:32.7019538Z File "test_torch.py", line 2092, in test_cdist_norm 2022-12-01T10:50:32.7019627Z actual = torch.cdist(x, y, p=p) 2022-12-01T10:50:32.7019633Z 2022-12-01T10:50:32.7019761Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7019824Z ========== 2022-12-01T10:50:32.7019875Z ok (0.102s) 2022-12-01T10:50:32.7020023Z test_cdist_same_inputs_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7020184Z test_clone_all_dtypes_and_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7020334Z test_clone_not_memory_dense_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:50:32.7020483Z test_clone_zero_stride_dim_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7020652Z test_complex_half_experimental_warning_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7020790Z test_constants_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s) 2022-12-01T10:50:32.7020977Z test_conv_transposed_backward_agnostic_to_memory_format_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.105s) 2022-12-01T10:50:32.7021139Z test_conv_transposed_large_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7021471Z test_copy__cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT can_cast test_torch.py line 5187 2022-12-01T10:50:32.7021536Z due to: 2022-12-01T10:50:32.7021625Z Traceback (most recent call last): 2022-12-01T10:50:32.7021780Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7022034Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7022324Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:50:32.7022329Z 2022-12-01T10:50:32.7022400Z from user code: 2022-12-01T10:50:32.7022504Z File "test_torch.py", line 5196, in can_cast 2022-12-01T10:50:32.7022599Z return torch.can_cast(src_dtype, dst_dtype) 2022-12-01T10:50:32.7022604Z 2022-12-01T10:50:32.7022735Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7022797Z ========== 2022-12-01T10:50:32.7023052Z test_torch.py:5209: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:250.) 2022-12-01T10:50:32.7023118Z t.copy_(src) 2022-12-01T10:50:32.7023185Z ok (0.047s) 2022-12-01T10:50:32.7023323Z test_copy__cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7023457Z test_copy__cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7023608Z test_copy__cpu_complex32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7023748Z test_copy__cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7023925Z test_copy__cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7024062Z test_copy__cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7024187Z test_copy__cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7024321Z test_copy__cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7024456Z test_copy__cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7024591Z test_copy__cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7024725Z test_copy__cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7024900Z test_copy__cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7025057Z test_copy_all_dtypes_and_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.062s) 2022-12-01T10:50:32.7025199Z test_copy_math_view_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7025495Z test_copy_mem_overlap_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.7025660Z test_copy_transpose_math_view_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.074s) 2022-12-01T10:50:32.7025822Z test_copy_transpose_math_view_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7025979Z test_copy_transpose_math_view_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:50:32.7026287Z test_corrcoef_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1918: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:100.) 2022-12-01T10:50:32.7026369Z res = torch.corrcoef(x) 2022-12-01T10:50:32.7026633Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:393: RuntimeWarning: Mean of empty slice. 2022-12-01T10:50:32.7026707Z avg = a.mean(axis) 2022-12-01T10:50:32.7026984Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:50:32.7027144Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-12-01T10:50:32.7027421Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2526: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-12-01T10:50:32.7027494Z c = cov(x, y, rowvar) 2022-12-01T10:50:32.7027781Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7027864Z c *= np.true_divide(1, fact) 2022-12-01T10:50:32.7028154Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:50:32.7028235Z c *= np.true_divide(1, fact) 2022-12-01T10:50:32.7028288Z ok (0.011s) 2022-12-01T10:50:32.7028431Z test_corrcoef_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7028573Z test_corrcoef_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7028868Z test_cov_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1924: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:100.) 2022-12-01T10:50:32.7028989Z def check(t, correction=1, fweights=None, aweights=None): 2022-12-01T10:50:32.7029216Z test_torch.py:1924: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:100.) 2022-12-01T10:50:32.7029337Z def check(t, correction=1, fweights=None, aweights=None): 2022-12-01T10:50:32.7029597Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:393: RuntimeWarning: Mean of empty slice. 2022-12-01T10:50:32.7029668Z avg = a.mean(axis) 2022-12-01T10:50:32.7029938Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:50:32.7030130Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-12-01T10:50:32.7030259Z test_torch.py:1926: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-12-01T10:50:32.7030330Z t = t.cpu().numpy() 2022-12-01T10:50:32.7030620Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7030699Z c *= np.true_divide(1, fact) 2022-12-01T10:50:32.7030981Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:50:32.7031093Z c *= np.true_divide(1, fact) 2022-12-01T10:50:32.7031312Z test_torch.py:1924: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:100.) 2022-12-01T10:50:32.7031433Z def check(t, correction=1, fweights=None, aweights=None): 2022-12-01T10:50:32.7031659Z test_torch.py:1925: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:100.) 2022-12-01T10:50:32.7031809Z res = torch.cov(t, correction=correction, fweights=fweights, aweights=aweights) 2022-12-01T10:50:32.7031939Z test_torch.py:1929: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-12-01T10:50:32.7032077Z ref = np.cov(t, ddof=correction, fweights=fweights, aweights=aweights) 2022-12-01T10:50:32.7032373Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7032455Z c *= np.true_divide(1, fact) 2022-12-01T10:50:32.7032743Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:50:32.7032812Z c *= np.true_divide(1, fact) 2022-12-01T10:50:32.7033098Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:425: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:50:32.7033224Z avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl 2022-12-01T10:50:32.7033293Z ok (0.198s) 2022-12-01T10:50:32.7033655Z test_cov_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:393: RuntimeWarning: Mean of empty slice. 2022-12-01T10:50:32.7033727Z avg = a.mean(axis) 2022-12-01T10:50:32.7034011Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:50:32.7034164Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-12-01T10:50:32.7034217Z ok (0.043s) 2022-12-01T10:50:32.7034352Z test_cov_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-12-01T10:50:32.7034558Z test_cpp_warnings_have_python_context_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Not a suitable test for TorchDynamo (0.002s) 2022-12-01T10:50:32.7034749Z test_cublas_config_nondeterministic_alert_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:50:32.7034893Z test_cummax_cummin_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.759s) 2022-12-01T10:50:32.7035047Z test_cummax_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.091s) 2022-12-01T10:50:32.7035196Z test_cummin_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.058s) 2022-12-01T10:50:32.7035332Z test_cumprod_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.495s) 2022-12-01T10:50:32.7035452Z test_cumsum_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.607s) 2022-12-01T10:50:32.7035798Z test_deepcopy_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_deepcopy test_torch.py line 376 2022-12-01T10:50:32.7035863Z due to: 2022-12-01T10:50:32.7035954Z Traceback (most recent call last): 2022-12-01T10:50:32.7036109Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7036392Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7036608Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.7036615Z 2022-12-01T10:50:32.7036688Z from user code: 2022-12-01T10:50:32.7036783Z File "test_torch.py", line 382, in test_deepcopy 2022-12-01T10:50:32.7036874Z q = [a, [a.storage(), b.storage()], b, c] 2022-12-01T10:50:32.7036879Z 2022-12-01T10:50:32.7037010Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7037073Z ========== 2022-12-01T10:50:32.7037135Z ok (0.016s) 2022-12-01T10:50:32.7037308Z test_deepcopy_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7037469Z test_deepcopy_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7037627Z test_deepcopy_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7037796Z test_device_guard_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.003s) 2022-12-01T10:50:32.7037927Z test_diff_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.259s) 2022-12-01T10:50:32.7038069Z test_diff_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.157s) 2022-12-01T10:50:32.7038206Z test_diff_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-12-01T10:50:32.7038339Z test_diff_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7038474Z test_diff_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7038607Z test_diff_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:50:32.7038739Z test_diff_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:50:32.7038863Z test_diff_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:50:32.7038992Z test_diff_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:50:32.7039126Z test_diff_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:50:32.7039256Z test_diff_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:50:32.7039397Z test_diff_noncontig_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:50:32.7039549Z test_diff_noncontig_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.035s) 2022-12-01T10:50:32.7039699Z test_diff_noncontig_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:50:32.7039843Z test_diff_noncontig_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:50:32.7039978Z test_diff_noncontig_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:50:32.7040118Z test_diff_noncontig_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7040261Z test_diff_noncontig_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7040409Z test_diff_noncontig_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7040549Z test_diff_noncontig_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:50:32.7040695Z test_diff_noncontig_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7040837Z test_diff_noncontig_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7040981Z test_dim_function_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (2.486s) 2022-12-01T10:50:32.7041168Z test_discontiguous_out_cumsum_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Torchdynamo fails with unknown reason (0.001s) 2022-12-01T10:50:32.7041297Z test_dist_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7041438Z test_errors_index_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:50:32.7041583Z test_expected_failure_xla_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7041761Z test_exponential_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:50:32.7041903Z test_exponential_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7042049Z test_exponential_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7042190Z test_exponential_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7042334Z test_exponential_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7042483Z test_exponential_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7042685Z test_exponential_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7042839Z test_exponential_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7043021Z test_exponential_no_zero_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7043202Z test_exponential_no_zero_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7043369Z test_gather_backward_deterministic_path_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.401s) 2022-12-01T10:50:32.7043521Z test_gather_backward_one_dim_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.391s) 2022-12-01T10:50:32.7043662Z test_geometric_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:50:32.7043793Z test_geometric_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7043935Z test_geometric_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7044075Z test_geometric_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7044218Z test_geometric_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7044358Z test_geometric_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7044499Z test_geometric_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7044634Z test_geometric_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7044775Z test_geometric_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7044914Z test_geometric_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7045060Z test_geometric_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7045206Z test_geometric_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7045349Z test_geometric_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7045501Z test_geometric_kstest_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7045643Z test_geometric_kstest_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7045793Z test_geometric_kstest_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7045938Z test_geometric_kstest_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7046070Z test_geometric_kstest_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7046209Z test_gradient_all_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.199s) 2022-12-01T10:50:32.7046354Z test_gradient_all_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.107s) 2022-12-01T10:50:32.7046767Z test_gradient_all_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1061: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7046884Z a = -(dx2)/(dx1 * (dx1 + dx2)) 2022-12-01T10:50:32.7047290Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1062: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7047454Z b = (dx2 - dx1) / (dx1 * dx2) 2022-12-01T10:50:32.7047812Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1063: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7047891Z c = dx1 / (dx2 * (dx1 + dx2)) 2022-12-01T10:50:32.7048163Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: RuntimeWarning: invalid value encountered in add 2022-12-01T10:50:32.7048305Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7048602Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1117: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7048720Z a = (dx2) / (dx1 * (dx1 + dx2)) 2022-12-01T10:50:32.7049016Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1118: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7049130Z b = - (dx2 + dx1) / (dx1 * dx2) 2022-12-01T10:50:32.7049427Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in double_scalars 2022-12-01T10:50:32.7049563Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7049844Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1100: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7049972Z a = -(2. * dx1 + dx2)/(dx1 * (dx1 + dx2)) 2022-12-01T10:50:32.7050268Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7050343Z b = (dx1 + dx2) / (dx1 * dx2) 2022-12-01T10:50:32.7050626Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: RuntimeWarning: invalid value encountered in add 2022-12-01T10:50:32.7050765Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7051043Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in add 2022-12-01T10:50:32.7051179Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7051468Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7051635Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0 2022-12-01T10:50:32.7051921Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:50:32.7052098Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0 2022-12-01T10:50:32.7052380Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:50:32.7052516Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7052811Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1102: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7052927Z c = - dx1 / (dx2 * (dx1 + dx2)) 2022-12-01T10:50:32.7053209Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:50:32.7053340Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7053612Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:50:32.7053747Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7054037Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1119: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7054125Z c = (2. * dx2 + dx1) / (dx2 * (dx1 + dx2)) 2022-12-01T10:50:32.7054443Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7054617Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n 2022-12-01T10:50:32.7054905Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:50:32.7055081Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n 2022-12-01T10:50:32.7055135Z ok (0.105s) 2022-12-01T10:50:32.7055299Z test_gradient_extreme_cases_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (1.129s) 2022-12-01T10:50:32.7055484Z test_gradient_extreme_cases_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.071s) 2022-12-01T10:50:32.7055640Z test_gradient_extreme_cases_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s) 2022-12-01T10:50:32.7056081Z test_gradient_type_promotion_cpu (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1057: ComplexWarning: Casting complex values to real discards the imaginary part 2022-12-01T10:50:32.7056270Z out[tuple(slice1)] = (f[tuple(slice4)] - f[tuple(slice2)]) / (2. * ax_dx) 2022-12-01T10:50:32.7056587Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: ComplexWarning: Casting complex values to real discards the imaginary part 2022-12-01T10:50:32.7056762Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0 2022-12-01T10:50:32.7057076Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: ComplexWarning: Casting complex values to real discards the imaginary part 2022-12-01T10:50:32.7057240Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n 2022-12-01T10:50:32.7058108Z /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-12-01T10:50:32.7058203Z return torch.as_tensor(tensor_like) 2022-12-01T10:50:32.7058521Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: ComplexWarning: Casting complex values to real discards the imaginary part 2022-12-01T10:50:32.7058657Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7058979Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: ComplexWarning: Casting complex values to real discards the imaginary part 2022-12-01T10:50:32.7059114Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7059402Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1061: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7059520Z a = -(dx2)/(dx1 * (dx1 + dx2)) 2022-12-01T10:50:32.7059810Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1062: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7059922Z b = (dx2 - dx1) / (dx1 * dx2) 2022-12-01T10:50:32.7060186Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: RuntimeWarning: invalid value encountered in add 2022-12-01T10:50:32.7060323Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7060611Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:50:32.7060787Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0 2022-12-01T10:50:32.7061081Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1100: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7061241Z a = -(2. * dx1 + dx2)/(dx1 * (dx1 + dx2)) 2022-12-01T10:50:32.7061535Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: divide by zero encountered in double_scalars 2022-12-01T10:50:32.7061612Z b = (dx1 + dx2) / (dx1 * dx2) 2022-12-01T10:50:32.7061876Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: RuntimeWarning: invalid value encountered in add 2022-12-01T10:50:32.7062015Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7062362Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: ComplexWarning: Casting complex values to real discards the imaginary part 2022-12-01T10:50:32.7062502Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-12-01T10:50:32.7062567Z ok (2.306s) 2022-12-01T10:50:32.7062707Z test_hook_remove_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.081s) 2022-12-01T10:50:32.7062864Z test_index_add_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.145s) 2022-12-01T10:50:32.7063012Z test_index_add_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:50:32.7063158Z test_index_copy_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.122s) 2022-12-01T10:50:32.7063288Z test_index_copy_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7063431Z test_index_copy_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:50:32.7063579Z test_index_copy_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:50:32.7063721Z test_index_copy_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7063864Z test_index_copy_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7064004Z test_index_copy_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7064141Z test_index_copy_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7064285Z test_index_copy_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7064412Z test_index_copy_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7064549Z test_index_copy_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7064683Z test_index_copy_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7064837Z test_index_copy_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (1.035s) 2022-12-01T10:50:32.7064986Z test_index_copy_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:50:32.7065143Z test_index_copy_scalars_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7065292Z test_index_copy_scalars_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7065448Z test_index_copy_scalars_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7065596Z test_index_copy_scalars_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7065748Z test_index_copy_scalars_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7065896Z test_index_copy_scalars_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7066044Z test_index_copy_scalars_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7066192Z test_index_copy_scalars_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7066339Z test_index_copy_scalars_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7066487Z test_index_copy_scalars_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7066634Z test_index_copy_scalars_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7066768Z test_index_copy_scalars_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7067172Z test_index_fill_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 3146 2022-12-01T10:50:32.7067233Z due to: 2022-12-01T10:50:32.7067322Z Traceback (most recent call last): 2022-12-01T10:50:32.7067476Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7067721Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7067923Z AssertionError: torch.* op returned non-Tensor bool call_method is_complex 2022-12-01T10:50:32.7067969Z 2022-12-01T10:50:32.7068036Z from user code: 2022-12-01T10:50:32.7068153Z File "test_torch.py", line 3147, in 2022-12-01T10:50:32.7068259Z if not x.is_complex() and not device == "meta": 2022-12-01T10:50:32.7068265Z 2022-12-01T10:50:32.7068399Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7068461Z ========== 2022-12-01T10:50:32.7068524Z ok (0.019s) 2022-12-01T10:50:32.7068666Z test_index_fill_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7068813Z test_index_fill_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7068958Z test_index_fill_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7069092Z test_index_fill_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7069232Z test_index_fill_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7069371Z test_index_fill_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7069510Z test_index_fill_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7069646Z test_index_fill_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7069783Z test_index_fill_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7069921Z test_index_fill_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7070057Z test_index_fill_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7070346Z test_index_fill_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.7070645Z test_index_put_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.002s) 2022-12-01T10:50:32.7070819Z test_index_put_non_accumulate_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-12-01T10:50:32.7071422Z test_index_reduce_reduce_amax_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7071431Z 2022-12-01T10:50:32.7071824Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7072246Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7072555Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7072654Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7072934Z test_torch.py:2967: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1008.) 2022-12-01T10:50:32.7073097Z dest.index_reduce_(dim, idx, src, reduce, include_self=include_self) 2022-12-01T10:50:32.7073163Z ok (0.095s) 2022-12-01T10:50:32.7073766Z test_index_reduce_reduce_amax_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7073772Z 2022-12-01T10:50:32.7074195Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7074559Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7074870Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7074968Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7075035Z ok (0.095s) 2022-12-01T10:50:32.7075644Z test_index_reduce_reduce_amax_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7075649Z 2022-12-01T10:50:32.7076031Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7076398Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7076702Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7076801Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7076865Z ok (0.096s) 2022-12-01T10:50:32.7077462Z test_index_reduce_reduce_amax_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7077468Z 2022-12-01T10:50:32.7077863Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7078219Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7078520Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7078613Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7078675Z ok (0.097s) 2022-12-01T10:50:32.7079270Z test_index_reduce_reduce_amax_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7079276Z 2022-12-01T10:50:32.7079664Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7080028Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7080362Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7080456Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7080520Z ok (0.085s) 2022-12-01T10:50:32.7081107Z test_index_reduce_reduce_amax_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7081124Z 2022-12-01T10:50:32.7081529Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7081900Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7082210Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7082305Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7082369Z ok (0.084s) 2022-12-01T10:50:32.7082965Z test_index_reduce_reduce_amax_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7082971Z 2022-12-01T10:50:32.7083358Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7083721Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7084027Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7084121Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7084185Z ok (0.084s) 2022-12-01T10:50:32.7084771Z test_index_reduce_reduce_amax_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.make_non_contiguous() is deprecated since 1.12 and will be removed in 1.14. Depending on the use case there a different replacement options: 2022-12-01T10:50:32.7084793Z 2022-12-01T10:50:32.7085166Z - If you are using `make_non_contiguous` in combination with a creation function to create a noncontiguous tensor with random values, use `torch.testing.make_tensor(..., noncontiguous=True)` instead. 2022-12-01T10:50:32.7085535Z - If you are using `make_non_contiguous` with a specific tensor, you can replace this call with `torch.repeat_interleave(input, 2, dim=-1)[..., ::2]`. 2022-12-01T10:50:32.7085839Z - If you are using `make_non_contiguous` in the PyTorch test suite, use `torch.testing._internal.common_utils.noncontiguous_like` instead. 2022-12-01T10:50:32.7085932Z warnings.warn(msg, FutureWarning) 2022-12-01T10:50:32.7085995Z ok (0.085s) 2022-12-01T10:50:32.7086156Z test_index_reduce_reduce_amax_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7086322Z test_index_reduce_reduce_amin_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-12-01T10:50:32.7086482Z test_index_reduce_reduce_amin_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7086641Z test_index_reduce_reduce_amin_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.040s) 2022-12-01T10:50:32.7086782Z test_index_reduce_reduce_amin_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s) 2022-12-01T10:50:32.7087127Z test_index_reduce_reduce_amin_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:50:32.7087333Z test_index_reduce_reduce_amin_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:50:32.7087491Z test_index_reduce_reduce_amin_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:50:32.7087712Z test_index_reduce_reduce_amin_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:50:32.7087869Z test_index_reduce_reduce_amin_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:50:32.7088029Z test_index_reduce_reduce_mean_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s) 2022-12-01T10:50:32.7088240Z test_index_reduce_reduce_mean_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-12-01T10:50:32.7088388Z test_index_reduce_reduce_mean_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-12-01T10:50:32.7088546Z test_index_reduce_reduce_mean_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.046s) 2022-12-01T10:50:32.7088704Z test_index_reduce_reduce_mean_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:50:32.7088858Z test_index_reduce_reduce_mean_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:50:32.7089011Z test_index_reduce_reduce_mean_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.033s) 2022-12-01T10:50:32.7089162Z test_index_reduce_reduce_mean_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:50:32.7089316Z test_index_reduce_reduce_mean_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:50:32.7089482Z test_index_reduce_reduce_prod_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7089643Z test_index_reduce_reduce_prod_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7089790Z test_index_reduce_reduce_prod_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.040s) 2022-12-01T10:50:32.7089953Z test_index_reduce_reduce_prod_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s) 2022-12-01T10:50:32.7090108Z test_index_reduce_reduce_prod_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7090263Z test_index_reduce_reduce_prod_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7090413Z test_index_reduce_reduce_prod_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:50:32.7090570Z test_index_reduce_reduce_prod_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7090729Z test_index_reduce_reduce_prod_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7090880Z test_index_select_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.123s) 2022-12-01T10:50:32.7091011Z test_index_select_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7091166Z test_index_select_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7091319Z test_index_select_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7091466Z test_index_select_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7091610Z test_index_select_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7091755Z test_index_select_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7091899Z test_index_select_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7092040Z test_index_select_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7092181Z test_index_select_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7092312Z test_index_select_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7092455Z test_index_select_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7092653Z test_invalid_shapes_grid_sampler_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-12-01T10:50:32.7092995Z test_is_set_to_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_is_set_to test_torch.py line 897 2022-12-01T10:50:32.7093061Z due to: 2022-12-01T10:50:32.7093153Z Traceback (most recent call last): 2022-12-01T10:50:32.7093311Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7093563Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7093777Z AssertionError: torch.* op returned non-Tensor bool call_method is_set_to 2022-12-01T10:50:32.7093783Z 2022-12-01T10:50:32.7093856Z from user code: 2022-12-01T10:50:32.7093966Z File "test_torch.py", line 902, in test_is_set_to 2022-12-01T10:50:32.7094063Z self.assertFalse(t1.is_set_to(t2)) 2022-12-01T10:50:32.7094071Z 2022-12-01T10:50:32.7094203Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7094267Z ========== 2022-12-01T10:50:32.7094332Z ok (0.014s) 2022-12-01T10:50:32.7094661Z test_is_signed_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_is_signed test_torch.py line 4301 2022-12-01T10:50:32.7094713Z due to: 2022-12-01T10:50:32.7094804Z Traceback (most recent call last): 2022-12-01T10:50:32.7094959Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7095202Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7095405Z AssertionError: torch.* op returned non-Tensor bool call_method is_signed 2022-12-01T10:50:32.7095411Z 2022-12-01T10:50:32.7095483Z from user code: 2022-12-01T10:50:32.7095591Z File "test_torch.py", line 4302, in test_is_signed 2022-12-01T10:50:32.7095714Z self.assertEqual(torch.IntTensor(5).to(device).is_signed(), True) 2022-12-01T10:50:32.7095734Z 2022-12-01T10:50:32.7095852Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7095915Z ========== 2022-12-01T10:50:32.7095979Z ok (0.004s) 2022-12-01T10:50:32.7096119Z test_item_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7096257Z test_item_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7096403Z test_item_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7096544Z test_item_cpu_complex32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7096674Z test_item_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7096809Z test_item_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7096947Z test_item_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7097081Z test_item_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7097216Z test_item_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7097343Z test_item_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7097477Z test_item_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7097611Z test_item_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7097731Z test_item_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7097906Z test_large_cumprod_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7098077Z test_large_cumsum_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7098224Z test_log_normal_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7098366Z test_log_normal_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7098542Z test_log_normal_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7098685Z test_log_normal_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7098826Z test_logcumsumexp_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.085s) 2022-12-01T10:50:32.7098968Z test_lognormal_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s) 2022-12-01T10:50:32.7099119Z test_lognormal_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7099266Z test_lognormal_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:50:32.7099446Z test_lognormal_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7099596Z test_masked_fill_bool_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7099746Z test_masked_fill_cpu_bfloat16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.072s) 2022-12-01T10:50:32.7099901Z test_masked_fill_cpu_bfloat16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.071s) 2022-12-01T10:50:32.7100076Z test_masked_fill_cpu_bool_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s) 2022-12-01T10:50:32.7100225Z test_masked_fill_cpu_bool_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s) 2022-12-01T10:50:32.7100367Z test_masked_fill_cpu_complex128_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s) 2022-12-01T10:50:32.7100520Z test_masked_fill_cpu_complex128_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.071s) 2022-12-01T10:50:32.7100671Z test_masked_fill_cpu_complex64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.071s) 2022-12-01T10:50:32.7100826Z test_masked_fill_cpu_complex64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.217s) 2022-12-01T10:50:32.7100975Z test_masked_fill_cpu_float16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7101127Z test_masked_fill_cpu_float16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7101277Z test_masked_fill_cpu_float32_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7101422Z test_masked_fill_cpu_float32_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7101556Z test_masked_fill_cpu_float64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7101707Z test_masked_fill_cpu_float64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7101853Z test_masked_fill_cpu_int16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7102005Z test_masked_fill_cpu_int16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7102156Z test_masked_fill_cpu_int32_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7102302Z test_masked_fill_cpu_int32_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7102449Z test_masked_fill_cpu_int64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7102596Z test_masked_fill_cpu_int64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7102730Z test_masked_fill_cpu_int8_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7102875Z test_masked_fill_cpu_int8_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7103021Z test_masked_fill_cpu_uint8_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7103170Z test_masked_fill_cpu_uint8_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7103475Z test_masked_fill_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.7103629Z test_masked_scatter_bool_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7103779Z test_masked_scatter_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.128s) 2022-12-01T10:50:32.7103924Z test_masked_scatter_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.120s) 2022-12-01T10:50:32.7104112Z test_masked_scatter_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.129s) 2022-12-01T10:50:32.7104252Z test_masked_scatter_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.127s) 2022-12-01T10:50:32.7104398Z test_masked_scatter_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.128s) 2022-12-01T10:50:32.7104541Z test_masked_scatter_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.128s) 2022-12-01T10:50:32.7104684Z test_masked_scatter_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.131s) 2022-12-01T10:50:32.7104864Z test_masked_scatter_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.272s) 2022-12-01T10:50:32.7105011Z test_masked_scatter_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7105156Z test_masked_scatter_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7105301Z test_masked_scatter_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7105435Z test_masked_scatter_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7105618Z test_masked_scatter_large_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7105927Z test_masked_scatter_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.7106369Z test_masked_select_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7106473Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7106540Z ok (0.121s) 2022-12-01T10:50:32.7106966Z test_masked_select_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7107071Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7107136Z ok (0.004s) 2022-12-01T10:50:32.7107570Z test_masked_select_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7107669Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7107721Z ok (0.004s) 2022-12-01T10:50:32.7108148Z test_masked_select_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7108249Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7108315Z ok (0.004s) 2022-12-01T10:50:32.7108749Z test_masked_select_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7108848Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7108912Z ok (0.003s) 2022-12-01T10:50:32.7109330Z test_masked_select_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7109454Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7109517Z ok (0.004s) 2022-12-01T10:50:32.7109932Z test_masked_select_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7110067Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7110135Z ok (0.004s) 2022-12-01T10:50:32.7110560Z test_masked_select_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7110663Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7110727Z ok (0.004s) 2022-12-01T10:50:32.7111139Z test_masked_select_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7111237Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7111303Z ok (0.004s) 2022-12-01T10:50:32.7111729Z test_masked_select_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7111817Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7111881Z ok (0.004s) 2022-12-01T10:50:32.7112307Z test_masked_select_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7112405Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7112469Z ok (0.004s) 2022-12-01T10:50:32.7112890Z test_masked_select_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1730.) 2022-12-01T10:50:32.7112989Z torch.masked_select(src, mask, out=dst3) 2022-12-01T10:50:32.7113058Z ok (0.004s) 2022-12-01T10:50:32.7113222Z test_masked_select_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-12-01T10:50:32.7113632Z test_memory_format_clone_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 4840 2022-12-01T10:50:32.7113684Z due to: 2022-12-01T10:50:32.7113776Z Traceback (most recent call last): 2022-12-01T10:50:32.7113941Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:50:32.7114056Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:50:32.7114178Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:50:32.7114184Z 2022-12-01T10:50:32.7114254Z from user code: 2022-12-01T10:50:32.7114437Z File "test_torch.py", line 4841, in 2022-12-01T10:50:32.7114572Z self.assertTrue(clone.is_contiguous(memory_format=memory_format)) 2022-12-01T10:50:32.7114578Z 2022-12-01T10:50:32.7114697Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7114759Z ========== 2022-12-01T10:50:32.7114825Z ok (0.103s) 2022-12-01T10:50:32.7115231Z test_memory_format_consistency_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 4434 2022-12-01T10:50:32.7115294Z due to: 2022-12-01T10:50:32.7115384Z Traceback (most recent call last): 2022-12-01T10:50:32.7115579Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:50:32.7115684Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:50:32.7115803Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:50:32.7115811Z 2022-12-01T10:50:32.7115880Z from user code: 2022-12-01T10:50:32.7116025Z File "test_torch.py", line 4435, in 2022-12-01T10:50:32.7116233Z self.assertEqual(x.is_contiguous(memory_format=torch.channels_last), x_rep.is_contiguous(memory_format=torch.channels_last)) 2022-12-01T10:50:32.7116239Z 2022-12-01T10:50:32.7116372Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7116431Z ========== 2022-12-01T10:50:32.7116495Z ok (0.027s) 2022-12-01T10:50:32.7116666Z test_memory_format_cpu_and_cuda_ops_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7117042Z test_memory_format_empty_like_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 4403 2022-12-01T10:50:32.7117106Z due to: 2022-12-01T10:50:32.7117197Z Traceback (most recent call last): 2022-12-01T10:50:32.7117358Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:50:32.7117475Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:50:32.7117597Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:50:32.7117603Z 2022-12-01T10:50:32.7117672Z from user code: 2022-12-01T10:50:32.7117782Z File "test_torch.py", line 4404, in 2022-12-01T10:50:32.7117918Z self.assertTrue(like.is_contiguous(memory_format=memory_format)) 2022-12-01T10:50:32.7117923Z 2022-12-01T10:50:32.7118053Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7118113Z ========== 2022-12-01T10:50:32.7118178Z ok (0.049s) 2022-12-01T10:50:32.7118361Z test_memory_format_factory_like_functions_preserve_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.653s) 2022-12-01T10:50:32.7118516Z test_memory_format_operators_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (1.937s) 2022-12-01T10:50:32.7118933Z test_memory_format_preserved_after_permute_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_memory_format_preserved_after_permute test_torch.py line 4344 2022-12-01T10:50:32.7119001Z due to: 2022-12-01T10:50:32.7119079Z Traceback (most recent call last): 2022-12-01T10:50:32.7119238Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:50:32.7119353Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:50:32.7119473Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:50:32.7119478Z 2022-12-01T10:50:32.7119548Z from user code: 2022-12-01T10:50:32.7119690Z File "test_torch.py", line 4348, in test_memory_format_preserved_after_permute 2022-12-01T10:50:32.7119828Z self.assertTrue(y.is_contiguous(memory_format=torch.channels_last)) 2022-12-01T10:50:32.7119833Z 2022-12-01T10:50:32.7119963Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7120013Z ========== 2022-12-01T10:50:32.7120105Z ok (0.006s) 2022-12-01T10:50:32.7120505Z test_memory_format_propagation_rules_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_memory_format_propagation_rules test_torch.py line 4355 2022-12-01T10:50:32.7120571Z due to: 2022-12-01T10:50:32.7120660Z Traceback (most recent call last): 2022-12-01T10:50:32.7120821Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:50:32.7120937Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:50:32.7121044Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:50:32.7121061Z 2022-12-01T10:50:32.7121151Z from user code: 2022-12-01T10:50:32.7121289Z File "test_torch.py", line 4360, in test_memory_format_propagation_rules 2022-12-01T10:50:32.7121440Z self.assertTrue(ambiguous.is_contiguous(memory_format=torch.channels_last)) 2022-12-01T10:50:32.7121444Z 2022-12-01T10:50:32.7121573Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7121636Z ========== 2022-12-01T10:50:32.7121698Z ok (0.026s) 2022-12-01T10:50:32.7121843Z test_memory_format_to_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.066s) 2022-12-01T10:50:32.7121978Z test_memory_format_type_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.079s) 2022-12-01T10:50:32.7122137Z test_memory_format_type_shortcuts_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.193s) 2022-12-01T10:50:32.7122310Z test_module_share_memory_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7122463Z test_multinomial_cpu_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:50:32.7122618Z test_multinomial_cpu_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7122770Z test_multinomial_cpu_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7122916Z test_multinomial_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.164s) 2022-12-01T10:50:32.7123064Z test_multinomial_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7123242Z test_multinomial_deterministic_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7123426Z test_multinomial_deterministic_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7123611Z test_multinomial_deterministic_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7123791Z test_multinomial_device_constrain_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7123956Z test_multinomial_empty_w_replacement_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s) 2022-12-01T10:50:32.7124122Z test_multinomial_empty_wo_replacement_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s) 2022-12-01T10:50:32.7124326Z test_multinomial_gpu_device_constrain_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-12-01T10:50:32.7124560Z test_multinomial_rng_state_advance_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:50:32.7124697Z test_narrow_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7124879Z test_nondeterministic_alert_AdaptiveAvgPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7125044Z test_nondeterministic_alert_AdaptiveAvgPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7125219Z test_nondeterministic_alert_AdaptiveMaxPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7125386Z test_nondeterministic_alert_AvgPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:50:32.7125817Z test_nondeterministic_alert_CTCLoss_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 1421 2022-12-01T10:50:32.7125908Z due to: 2022-12-01T10:50:32.7126000Z Traceback (most recent call last): 2022-12-01T10:50:32.7126236Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2629, in ctc_loss 2022-12-01T10:50:32.7126412Z log_probs, targets, input_lengths, target_lengths, blank, _Reduction.get_enum(reduction), zero_infinity 2022-12-01T10:50:32.7126828Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:50:32.7126860Z 2022-12-01T10:50:32.7127190Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7127209Z 2022-12-01T10:50:32.7127288Z Traceback (most recent call last): 2022-12-01T10:50:32.7127447Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7127546Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7127727Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7127733Z 2022-12-01T10:50:32.7127803Z from user code: 2022-12-01T10:50:32.7127962Z File "test_torch.py", line 1426, in 2022-12-01T10:50:32.7128085Z res = module(input, target, input_lengths, target_lengths) 2022-12-01T10:50:32.7128091Z 2022-12-01T10:50:32.7128211Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7128275Z ========== 2022-12-01T10:50:32.7128337Z ok (0.027s) 2022-12-01T10:50:32.7128520Z test_nondeterministic_alert_EmbeddingBag_max_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:50:32.7128710Z test_nondeterministic_alert_FractionalMaxPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-12-01T10:50:32.7128902Z test_nondeterministic_alert_FractionalMaxPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.7129073Z test_nondeterministic_alert_MaxPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.033s) 2022-12-01T10:50:32.7129289Z test_nondeterministic_alert_MaxUnpool1d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.007s) 2022-12-01T10:50:32.7129672Z test_nondeterministic_alert_MaxUnpool1d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 1249 2022-12-01T10:50:32.7129724Z due to: 2022-12-01T10:50:32.7129816Z Traceback (most recent call last): 2022-12-01T10:50:32.7130034Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7130133Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7131929Z NotImplementedError: Could not run 'aten::max_unpool2d' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::max_unpool2d' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.7131940Z 2022-12-01T10:50:32.7132110Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.7132344Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:50:32.7132594Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.7132823Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.7133037Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.7133226Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.7133445Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7133637Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7133816Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.7134044Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.7134250Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7134451Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7134650Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7134852Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7135051Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7135255Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7135453Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7135633Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7135828Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7136025Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7136221Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7136419Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7136634Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7136843Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7137043Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7137257Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7137435Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:50:32.7137590Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:50:32.7137833Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.7138065Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.7138297Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.7138493Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.7138734Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.7138946Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.7139162Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.7139395Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.7139605Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.7139610Z 2022-12-01T10:50:32.7139614Z 2022-12-01T10:50:32.7139752Z During handling of the above exception, another exception occurred: 2022-12-01T10:50:32.7139757Z 2022-12-01T10:50:32.7139835Z Traceback (most recent call last): 2022-12-01T10:50:32.7140060Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7140161Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7140922Z RuntimeError: max_unpooling2d_forward_out does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True)'. You can turn off determinism just for this operation, or you can use the 'warn_only=True' option, if that's acceptable for your application. You can also file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. 2022-12-01T10:50:32.7140930Z 2022-12-01T10:50:32.7141065Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7141070Z 2022-12-01T10:50:32.7141160Z Traceback (most recent call last): 2022-12-01T10:50:32.7141318Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7141411Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7141517Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7141524Z 2022-12-01T10:50:32.7141592Z from user code: 2022-12-01T10:50:32.7141681Z File "test_torch.py", line 1249, in 2022-12-01T10:50:32.7141773Z lambda: module(input, indices), 2022-12-01T10:50:32.7141778Z 2022-12-01T10:50:32.7141908Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7141973Z ========== 2022-12-01T10:50:32.7142040Z ok (0.041s) 2022-12-01T10:50:32.7142220Z test_nondeterministic_alert_MaxUnpool1d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:50:32.7142436Z test_nondeterministic_alert_MaxUnpool2d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.007s) 2022-12-01T10:50:32.7142815Z test_nondeterministic_alert_MaxUnpool2d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 1263 2022-12-01T10:50:32.7142867Z due to: 2022-12-01T10:50:32.7142959Z Traceback (most recent call last): 2022-12-01T10:50:32.7143181Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7143277Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7145069Z NotImplementedError: Could not run 'aten::max_unpool2d' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::max_unpool2d' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.7145101Z 2022-12-01T10:50:32.7145272Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.7145509Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:50:32.7145707Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.7145935Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.7146146Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.7146334Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.7146520Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7146706Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7146890Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.7147117Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.7147319Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7147518Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7147717Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7147915Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7148114Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7148315Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7148506Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7148696Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7148879Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7149075Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7149273Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7149499Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7149709Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7149920Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7150124Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7150372Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7150553Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:50:32.7150725Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:50:32.7150908Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.7151140Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.7151374Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.7151568Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.7151778Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.7151986Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.7152202Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.7152431Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.7152640Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.7152645Z 2022-12-01T10:50:32.7152649Z 2022-12-01T10:50:32.7152784Z During handling of the above exception, another exception occurred: 2022-12-01T10:50:32.7152790Z 2022-12-01T10:50:32.7152870Z Traceback (most recent call last): 2022-12-01T10:50:32.7153090Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7153186Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7153945Z RuntimeError: max_unpooling2d_forward_out does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True)'. You can turn off determinism just for this operation, or you can use the 'warn_only=True' option, if that's acceptable for your application. You can also file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. 2022-12-01T10:50:32.7153953Z 2022-12-01T10:50:32.7154086Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7154092Z 2022-12-01T10:50:32.7154181Z Traceback (most recent call last): 2022-12-01T10:50:32.7154337Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7154426Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7154660Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7154666Z 2022-12-01T10:50:32.7154757Z from user code: 2022-12-01T10:50:32.7154882Z File "test_torch.py", line 1263, in 2022-12-01T10:50:32.7155025Z lambda: module(input, indices), 2022-12-01T10:50:32.7155030Z 2022-12-01T10:50:32.7155184Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7155274Z ========== 2022-12-01T10:50:32.7155329Z ok (0.039s) 2022-12-01T10:50:32.7155543Z test_nondeterministic_alert_MaxUnpool2d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:50:32.7155787Z test_nondeterministic_alert_MaxUnpool3d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.007s) 2022-12-01T10:50:32.7156216Z test_nondeterministic_alert_MaxUnpool3d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 1277 2022-12-01T10:50:32.7156329Z due to: 2022-12-01T10:50:32.7156446Z Traceback (most recent call last): 2022-12-01T10:50:32.7156702Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7156832Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7158624Z NotImplementedError: Could not run 'aten::max_unpool3d' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::max_unpool3d' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.7158634Z 2022-12-01T10:50:32.7158825Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.7159081Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:50:32.7159333Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.7159550Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.7159787Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.7159998Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.7160215Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7160430Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7160643Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.7160891Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.7161117Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7161366Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7161587Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7161772Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7162044Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7162264Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7162475Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7162690Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7162930Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7163148Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7163399Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7163623Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7163855Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7164053Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7164283Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7164521Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:50:32.7164724Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:50:32.7164917Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:50:32.7165143Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.7165419Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.7165697Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.7165914Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.7166149Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.7166350Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.7166585Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.7166834Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.7167263Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.7167271Z 2022-12-01T10:50:32.7167276Z 2022-12-01T10:50:32.7167445Z During handling of the above exception, another exception occurred: 2022-12-01T10:50:32.7167451Z 2022-12-01T10:50:32.7167657Z Traceback (most recent call last): 2022-12-01T10:50:32.7167917Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7168038Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7168886Z RuntimeError: max_unpooling3d_forward_out does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True)'. You can turn off determinism just for this operation, or you can use the 'warn_only=True' option, if that's acceptable for your application. You can also file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. 2022-12-01T10:50:32.7168893Z 2022-12-01T10:50:32.7169052Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7169058Z 2022-12-01T10:50:32.7169187Z Traceback (most recent call last): 2022-12-01T10:50:32.7169368Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7169488Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7169616Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7169621Z 2022-12-01T10:50:32.7169749Z from user code: 2022-12-01T10:50:32.7169876Z File "test_torch.py", line 1277, in 2022-12-01T10:50:32.7169986Z lambda: module(input, indices), 2022-12-01T10:50:32.7169992Z 2022-12-01T10:50:32.7170151Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7170239Z ========== 2022-12-01T10:50:32.7170292Z ok (0.040s) 2022-12-01T10:50:32.7170499Z test_nondeterministic_alert_MaxUnpool3d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:50:32.7170692Z test_nondeterministic_alert_NLLLoss_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:50:32.7170895Z test_nondeterministic_alert_ReflectionPad1d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7171109Z test_nondeterministic_alert_ReflectionPad2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7171307Z test_nondeterministic_alert_ReflectionPad3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7171519Z test_nondeterministic_alert_ReplicationPad1d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7171716Z test_nondeterministic_alert_ReplicationPad2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7171876Z test_nondeterministic_alert_ReplicationPad3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7172066Z test_nondeterministic_alert_bincount_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7172253Z test_nondeterministic_alert_cumsum_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7172448Z test_nondeterministic_alert_cumsum_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7172654Z test_nondeterministic_alert_cumsum_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7172864Z test_nondeterministic_alert_cumsum_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7173058Z test_nondeterministic_alert_cumsum_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7173251Z test_nondeterministic_alert_cumsum_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7173436Z test_nondeterministic_alert_cumsum_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7173591Z test_nondeterministic_alert_cumsum_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7173780Z test_nondeterministic_alert_cumsum_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7173966Z test_nondeterministic_alert_cumsum_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7174165Z test_nondeterministic_alert_grid_sample_2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:50:32.7174354Z test_nondeterministic_alert_grid_sample_3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-12-01T10:50:32.7174570Z test_nondeterministic_alert_histc_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7174802Z test_nondeterministic_alert_interpolate_bicubic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7175007Z test_nondeterministic_alert_interpolate_bilinear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7175205Z test_nondeterministic_alert_interpolate_linear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7175378Z test_nondeterministic_alert_interpolate_trilinear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7175573Z test_nondeterministic_alert_kthvalue_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7176059Z test_nondeterministic_alert_median_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 1640 2022-12-01T10:50:32.7176172Z due to: 2022-12-01T10:50:32.7176291Z Traceback (most recent call last): 2022-12-01T10:50:32.7176501Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 1596, in LOAD_CLOSURE 2022-12-01T10:50:32.7189942Z self.push(self.closure_cells[inst.argval]) 2022-12-01T10:50:32.7190149Z KeyError: 'test_func' 2022-12-01T10:50:32.7190156Z 2022-12-01T10:50:32.7190218Z from user code: 2022-12-01T10:50:32.7190388Z File "test_torch.py", line 1641, in 2022-12-01T10:50:32.7190564Z test_func_expect_error('function with indices', is_cuda) 2022-12-01T10:50:32.7190569Z 2022-12-01T10:50:32.7190705Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7190776Z ========== 2022-12-01T10:50:32.7191344Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [10], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.7191457Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.7191966Z :8: UserWarning: An output with one or more elements was resized since it had shape [10], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:50:32.7192032Z ok (0.089s) 2022-12-01T10:50:32.7192211Z test_nondeterministic_alert_put_accumulate_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7192532Z test_nondeterministic_alert_put_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.7192674Z test_normal_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.048s) 2022-12-01T10:50:32.7192817Z test_normal_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:50:32.7192955Z test_normal_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:50:32.7193107Z test_nullary_op_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.060s) 2022-12-01T10:50:32.7193261Z test_pairwise_distance_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.046s) 2022-12-01T10:50:32.7193403Z test_pdist_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.050s) 2022-12-01T10:50:32.7193569Z test_pdist_norm_large_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7193932Z test_pickle_gradscaler_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pickle_gradscaler test_torch.py line 5005 2022-12-01T10:50:32.7194085Z due to: 2022-12-01T10:50:32.7194178Z Traceback (most recent call last): 2022-12-01T10:50:32.7194334Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7194586Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7194877Z AssertionError: torch.* op returned non-Tensor GradScaler call_function 2022-12-01T10:50:32.7194883Z 2022-12-01T10:50:32.7194955Z from user code: 2022-12-01T10:50:32.7195105Z File "test_torch.py", line 5017, in test_pickle_gradscaler 2022-12-01T10:50:32.7195285Z a = torch.cuda.amp.GradScaler(init_scale=3., growth_factor=4., backoff_factor=.5, growth_interval=2) 2022-12-01T10:50:32.7195291Z 2022-12-01T10:50:32.7195423Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7195478Z ========== 2022-12-01T10:50:32.7195839Z /opt/conda/lib/python3.7/site-packages/torch/cuda/amp/grad_scaler.py:118: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. 2022-12-01T10:50:32.7196014Z warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.") 2022-12-01T10:50:32.7196370Z /opt/conda/lib/python3.7/site-packages/torch/cuda/amp/grad_scaler.py:118: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. 2022-12-01T10:50:32.7196545Z warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.") 2022-12-01T10:50:32.7196609Z ok (0.009s) 2022-12-01T10:50:32.7196790Z test_pin_memory_from_constructor_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:50:32.7196944Z test_put_accumulate_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:50:32.7197091Z test_put_accumulate_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7197251Z test_put_accumulate_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7197401Z test_put_accumulate_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7197548Z test_put_accumulate_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7197692Z test_put_accumulate_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7197840Z test_put_accumulate_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7197988Z test_put_accumulate_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.167s) 2022-12-01T10:50:32.7198136Z test_put_accumulate_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7198281Z test_put_accumulate_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7198461Z test_put_accumulate_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7198604Z test_put_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.320s) 2022-12-01T10:50:32.7198742Z test_put_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.046s) 2022-12-01T10:50:32.7198881Z test_put_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.046s) 2022-12-01T10:50:32.7199018Z test_put_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7199155Z test_put_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7199290Z test_put_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-12-01T10:50:32.7199414Z test_put_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:50:32.7199547Z test_put_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:50:32.7199673Z test_put_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:50:32.7199810Z test_put_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:50:32.7199975Z test_put_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7200109Z test_put_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7200398Z test_put_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.7200546Z test_repeat_interleave_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-12-01T10:50:32.7200906Z test_scalar_check_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 588 2022-12-01T10:50:32.7200960Z due to: 2022-12-01T10:50:32.7201079Z Traceback (most recent call last): 2022-12-01T10:50:32.7201298Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7201399Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7201683Z RuntimeError: aten::bitwise_or() Expected a value of type 'Tensor' for argument 'other' but instead found type 'int'. 2022-12-01T10:50:32.7201755Z Position: 1 2022-12-01T10:50:32.7201816Z Value: 1 2022-12-01T10:50:32.7202004Z Declaration: aten::bitwise_or.Tensor(Tensor self, Tensor other) -> Tensor 2022-12-01T10:50:32.7202109Z Cast error details: Unable to cast 1 to Tensor 2022-12-01T10:50:32.7202115Z 2022-12-01T10:50:32.7202249Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7202254Z 2022-12-01T10:50:32.7202344Z Traceback (most recent call last): 2022-12-01T10:50:32.7202498Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7202597Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7202705Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7202710Z 2022-12-01T10:50:32.7202777Z from user code: 2022-12-01T10:50:32.7202895Z File "test_torch.py", line 588, in 2022-12-01T10:50:32.7203016Z self.assertEqual((), (zero_d_int >> zero_d_int).shape) 2022-12-01T10:50:32.7203020Z 2022-12-01T10:50:32.7203149Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7203211Z ========== 2022-12-01T10:50:32.7203428Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 703 2022-12-01T10:50:32.7203491Z due to: 2022-12-01T10:50:32.7203581Z Traceback (most recent call last): 2022-12-01T10:50:32.7203738Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.7203832Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.7203995Z RuntimeError: Expected 3D (unbatched) or 4D (batched) input to conv2d, but got input of size: [] 2022-12-01T10:50:32.7204000Z 2022-12-01T10:50:32.7204133Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7204138Z 2022-12-01T10:50:32.7204227Z Traceback (most recent call last): 2022-12-01T10:50:32.7204383Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7204480Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7204587Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7204592Z 2022-12-01T10:50:32.7204661Z from user code: 2022-12-01T10:50:32.7204752Z File "test_torch.py", line 703, in 2022-12-01T10:50:32.7204924Z self.assertRaises(RuntimeError, lambda: torch.nn.functional.conv2d(zero_d, w, groups=1)) 2022-12-01T10:50:32.7204928Z 2022-12-01T10:50:32.7205057Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7205120Z ========== 2022-12-01T10:50:32.7205341Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 704 2022-12-01T10:50:32.7205405Z due to: 2022-12-01T10:50:32.7205495Z Traceback (most recent call last): 2022-12-01T10:50:32.7205652Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:50:32.7205748Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:50:32.7205944Z RuntimeError: Expected 3D (unbatched) or 4D (batched) input to conv2d, but got input of size: [] 2022-12-01T10:50:32.7205949Z 2022-12-01T10:50:32.7206085Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7206089Z 2022-12-01T10:50:32.7206180Z Traceback (most recent call last): 2022-12-01T10:50:32.7206333Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7206428Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7206535Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7206540Z 2022-12-01T10:50:32.7206608Z from user code: 2022-12-01T10:50:32.7206724Z File "test_torch.py", line 704, in 2022-12-01T10:50:32.7206898Z self.assertRaises(RuntimeError, lambda: torch.nn.functional.conv2d(zero_d, w, groups=2)) 2022-12-01T10:50:32.7206904Z 2022-12-01T10:50:32.7207175Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7207242Z ========== 2022-12-01T10:50:32.7207461Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 707 2022-12-01T10:50:32.7207527Z due to: 2022-12-01T10:50:32.7207678Z Traceback (most recent call last): 2022-12-01T10:50:32.7208046Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2701, in nll_loss 2022-12-01T10:50:32.7208208Z return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index) 2022-12-01T10:50:32.7208323Z ValueError: Expected 1 or more dimensions (got 0) 2022-12-01T10:50:32.7208328Z 2022-12-01T10:50:32.7208400Z from user code: 2022-12-01T10:50:32.7208500Z File "test_torch.py", line 707, in 2022-12-01T10:50:32.7208765Z self.assertRaises(ValueError, lambda: torch.nn.functional.nll_loss(zero_d, zero_d, reduction='none')) 2022-12-01T10:50:32.7208770Z 2022-12-01T10:50:32.7208898Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7208963Z ========== 2022-12-01T10:50:32.7209179Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 708 2022-12-01T10:50:32.7209231Z due to: 2022-12-01T10:50:32.7209319Z Traceback (most recent call last): 2022-12-01T10:50:32.7209553Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2701, in nll_loss 2022-12-01T10:50:32.7209724Z return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index) 2022-12-01T10:50:32.7209839Z ValueError: Expected 1 or more dimensions (got 0) 2022-12-01T10:50:32.7209844Z 2022-12-01T10:50:32.7209910Z from user code: 2022-12-01T10:50:32.7210010Z File "test_torch.py", line 708, in 2022-12-01T10:50:32.7210269Z self.assertRaises(ValueError, lambda: torch.nn.functional.nll_loss(zero_d, one_d, reduction='none')) 2022-12-01T10:50:32.7210274Z 2022-12-01T10:50:32.7210392Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7210454Z ========== 2022-12-01T10:50:32.7210672Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 726 2022-12-01T10:50:32.7210734Z due to: 2022-12-01T10:50:32.7210826Z Traceback (most recent call last): 2022-12-01T10:50:32.7211043Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7211141Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7212988Z NotImplementedError: Could not run 'aten::multilabel_margin_loss_forward' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::multilabel_margin_loss_forward' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.7213059Z 2022-12-01T10:50:32.7213230Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.7213467Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:50:32.7213704Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.7213938Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.7214139Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.7214330Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.7214515Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7214702Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7214893Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.7215121Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.7215324Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7215525Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7215723Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7215921Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7216107Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7216308Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7216504Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7216697Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7216892Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7217089Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7217287Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7217483Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7217698Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7217907Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7218142Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7218353Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7218531Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:50:32.7218699Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:50:32.7218922Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.7219156Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.7219388Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.7219583Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.7219792Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.7220001Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.7220202Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.7220432Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.7220639Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.7220647Z 2022-12-01T10:50:32.7220651Z 2022-12-01T10:50:32.7220787Z During handling of the above exception, another exception occurred: 2022-12-01T10:50:32.7220792Z 2022-12-01T10:50:32.7220882Z Traceback (most recent call last): 2022-12-01T10:50:32.7221106Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7221207Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7221389Z RuntimeError: inconsistent size [1, 1] for argument #2 'target' 2022-12-01T10:50:32.7221394Z 2022-12-01T10:50:32.7221526Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7221531Z 2022-12-01T10:50:32.7221620Z Traceback (most recent call last): 2022-12-01T10:50:32.7221764Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7221858Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7221965Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7221970Z 2022-12-01T10:50:32.7222039Z from user code: 2022-12-01T10:50:32.7222143Z File "test_torch.py", line 726, in 2022-12-01T10:50:32.7222377Z lambda: torch.nn.functional.multilabel_margin_loss(input, target, reduction='none')) 2022-12-01T10:50:32.7222382Z 2022-12-01T10:50:32.7222512Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7222562Z ========== 2022-12-01T10:50:32.7222783Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 728 2022-12-01T10:50:32.7222846Z due to: 2022-12-01T10:50:32.7222934Z Traceback (most recent call last): 2022-12-01T10:50:32.7223146Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7223245Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7225122Z NotImplementedError: Could not run 'aten::multilabel_margin_loss_forward' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::multilabel_margin_loss_forward' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.7225160Z 2022-12-01T10:50:32.7225333Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.7225569Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:50:32.7225771Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.7225998Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.7226209Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.7226396Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.7226572Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7226758Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7226950Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.7227175Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.7227375Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7227573Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7227773Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7227967Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7228164Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7228363Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7228545Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7228738Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7228934Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7229129Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7229327Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7229523Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7229762Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7229970Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7230172Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7230412Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7230581Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:50:32.7230753Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:50:32.7230948Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.7231178Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.7231410Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.7231602Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.7231813Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.7232024Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.7232237Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.7232465Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.7232663Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.7232668Z 2022-12-01T10:50:32.7232684Z 2022-12-01T10:50:32.7232809Z During handling of the above exception, another exception occurred: 2022-12-01T10:50:32.7232814Z 2022-12-01T10:50:32.7232902Z Traceback (most recent call last): 2022-12-01T10:50:32.7233123Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7233221Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7233400Z RuntimeError: inconsistent size [1, 1] for argument #2 'target' 2022-12-01T10:50:32.7233405Z 2022-12-01T10:50:32.7233540Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7233547Z 2022-12-01T10:50:32.7233635Z Traceback (most recent call last): 2022-12-01T10:50:32.7233790Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7233875Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7233984Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7233988Z 2022-12-01T10:50:32.7234056Z from user code: 2022-12-01T10:50:32.7234155Z File "test_torch.py", line 728, in 2022-12-01T10:50:32.7234390Z lambda: torch.nn.functional.multilabel_margin_loss(input, target, reduction='mean')) 2022-12-01T10:50:32.7234395Z 2022-12-01T10:50:32.7234525Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7234617Z ========== 2022-12-01T10:50:32.7234834Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 730 2022-12-01T10:50:32.7234886Z due to: 2022-12-01T10:50:32.7234978Z Traceback (most recent call last): 2022-12-01T10:50:32.7235222Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7235318Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7237169Z NotImplementedError: Could not run 'aten::multilabel_margin_loss_forward' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::multilabel_margin_loss_forward' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:50:32.7237179Z 2022-12-01T10:50:32.7237348Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:50:32.7237583Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:50:32.7237777Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:50:32.7238005Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:50:32.7238219Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:50:32.7238408Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:50:32.7238594Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7238779Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:50:32.7238957Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:50:32.7239181Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:50:32.7239384Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7239581Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7239780Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7239977Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7240172Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7240370Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7240563Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7240755Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7240940Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7241166Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7241364Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7241559Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7241770Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7242010Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7242211Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7242427Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:50:32.7242605Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:50:32.7242771Z AutocastCPU: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:487 [kernel] 2022-12-01T10:50:32.7242952Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:50:32.7243185Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:50:32.7243418Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:50:32.7243611Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:50:32.7243822Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:50:32.7244030Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:50:32.7244240Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:50:32.7244470Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:50:32.7244680Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:50:32.7244686Z 2022-12-01T10:50:32.7244690Z 2022-12-01T10:50:32.7244822Z During handling of the above exception, another exception occurred: 2022-12-01T10:50:32.7244830Z 2022-12-01T10:50:32.7244909Z Traceback (most recent call last): 2022-12-01T10:50:32.7245126Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7245226Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7245406Z RuntimeError: inconsistent size [1, 1] for argument #2 'target' 2022-12-01T10:50:32.7245411Z 2022-12-01T10:50:32.7245545Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7245550Z 2022-12-01T10:50:32.7245637Z Traceback (most recent call last): 2022-12-01T10:50:32.7245792Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7245888Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7245992Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7245997Z 2022-12-01T10:50:32.7246054Z from user code: 2022-12-01T10:50:32.7246153Z File "test_torch.py", line 730, in 2022-12-01T10:50:32.7246390Z lambda: torch.nn.functional.multilabel_margin_loss(input, target, reduction='sum')) 2022-12-01T10:50:32.7246428Z 2022-12-01T10:50:32.7246556Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7246619Z ========== 2022-12-01T10:50:32.7246685Z ok (39.596s) 2022-12-01T10:50:32.7246832Z test_scatter_add_bool_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7247139Z test_scatter_add_non_unique_index_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7247356Z test_scatter_add_one_dim_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.405s) 2022-12-01T10:50:32.7247513Z test_scatter_add_to_large_input_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:50:32.7247781Z test_scatter_bool_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7247938Z test_scatter_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:50:32.7248151Z test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7248364Z test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7248535Z test_scatter_reduce_non_unique_index_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:50:32.7248703Z test_scatter_reduce_non_unique_index_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7248866Z test_scatter_reduce_non_unique_index_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:50:32.7249039Z test_scatter_reduce_non_unique_index_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:50:32.7249207Z test_scatter_reduce_non_unique_index_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7249372Z test_scatter_reduce_non_unique_index_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7249543Z test_scatter_reduce_non_unique_index_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7249707Z test_scatter_reduce_non_unique_index_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7249867Z test_scatter_reduce_non_unique_index_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7250023Z test_scatter_reduce_non_unique_index_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7250186Z test_scatter_reduce_non_unique_index_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7250340Z test_scatter_reduce_non_unique_index_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7250520Z test_scatter_reduce_operations_to_large_input_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7250699Z test_scatter_reduce_operations_to_large_input_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7250885Z test_scatter_reduce_operations_to_large_input_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7251071Z test_scatter_reduce_operations_to_large_input_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7251250Z test_scatter_reduce_operations_to_large_input_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7251424Z test_scatter_reduce_operations_to_large_input_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7251598Z test_scatter_reduce_operations_to_large_input_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7251773Z test_scatter_reduce_operations_to_large_input_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7251936Z test_scatter_reduce_operations_to_large_input_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7252147Z test_scatter_reduce_operations_to_large_input_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7252325Z test_scatter_reduce_operations_to_large_input_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7252498Z test_scatter_reduce_operations_to_large_input_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7252659Z test_scatter_reduce_scalar_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7252814Z test_scatter_reduce_scalar_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7253001Z test_scatter_reduce_scalar_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7253162Z test_scatter_reduce_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7253318Z test_scatter_reduce_scalar_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7253462Z test_scatter_reduce_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7253619Z test_scatter_reduce_scalar_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7253772Z test_scatter_reduce_scalar_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:50:32.7253925Z test_scatter_reduce_scalar_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7254079Z test_scatter_reduce_scalar_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7254230Z test_scatter_reduce_scalar_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7254383Z test_scatter_reduce_scalar_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7254532Z test_scatter_to_large_input_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7254671Z test_scatter_zero_size_index_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7254838Z test_serialization_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7255227Z test_set_storage_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 253 2022-12-01T10:50:32.7255289Z due to: 2022-12-01T10:50:32.7255380Z Traceback (most recent call last): 2022-12-01T10:50:32.7255536Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7255785Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7255999Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.7256005Z 2022-12-01T10:50:32.7256074Z from user code: 2022-12-01T10:50:32.7256191Z File "test_torch.py", line 254, in 2022-12-01T10:50:32.7256263Z a_s = a.storage() 2022-12-01T10:50:32.7256270Z 2022-12-01T10:50:32.7256402Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7256463Z ========== 2022-12-01T10:50:32.7256527Z ok (0.022s) 2022-12-01T10:50:32.7256674Z test_set_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7256825Z test_set_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7256962Z test_set_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7257107Z test_set_storage_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7257253Z test_set_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7257397Z test_set_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:50:32.7257538Z test_set_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7257679Z test_set_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-12-01T10:50:32.7257862Z test_set_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7258006Z test_set_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7258137Z test_set_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7258430Z test_shift_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:50:32.7258565Z test_skip_xla_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:50:32.7258763Z test_storage_all_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7258904Z test_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:50:32.7259051Z test_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7259197Z test_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7259344Z test_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7259485Z test_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:50:32.7259613Z test_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7259751Z test_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7259890Z test_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7260028Z test_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7260166Z test_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7260540Z test_storage_meta_errors_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_storage_meta_errors test_torch.py line 325 2022-12-01T10:50:32.7260606Z due to: 2022-12-01T10:50:32.7260699Z Traceback (most recent call last): 2022-12-01T10:50:32.7260846Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7261097Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7261381Z AssertionError: torch.* op returned non-Tensor TypedStorage call_function 2022-12-01T10:50:32.7261387Z 2022-12-01T10:50:32.7261456Z from user code: 2022-12-01T10:50:32.7261577Z File "test_torch.py", line 328, in test_storage_meta_errors 2022-12-01T10:50:32.7261764Z s0 = torch.TypedStorage([1, 2, 3, 4], device='meta', dtype=dtype) 2022-12-01T10:50:32.7261772Z 2022-12-01T10:50:32.7261904Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7261966Z ========== 2022-12-01T10:50:32.7262019Z ok (0.017s) 2022-12-01T10:50:32.7262170Z test_storage_meta_errors_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7262334Z test_storage_meta_errors_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7262491Z test_storage_meta_errors_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7262645Z test_storage_meta_errors_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7262794Z test_storage_meta_errors_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7262947Z test_storage_meta_errors_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7263097Z test_storage_meta_errors_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7263238Z test_storage_meta_errors_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7263386Z test_storage_meta_errors_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7263536Z test_storage_meta_errors_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7263742Z test_storage_meta_errors_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:50:32.7263902Z test_storage_meta_from_tensor_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-12-01T10:50:32.7264057Z test_storage_meta_from_tensor_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7264223Z test_storage_meta_from_tensor_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7264386Z test_storage_meta_from_tensor_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7264560Z test_storage_meta_from_tensor_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:50:32.7264720Z test_storage_meta_from_tensor_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7264875Z test_storage_meta_from_tensor_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7265032Z test_storage_meta_from_tensor_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7265193Z test_storage_meta_from_tensor_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7265346Z test_storage_meta_from_tensor_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7265501Z test_storage_meta_from_tensor_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7265652Z test_storage_meta_from_tensor_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7266010Z test_storage_setitem_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_storage_setitem test_torch.py line 189 2022-12-01T10:50:32.7266062Z due to: 2022-12-01T10:50:32.7266155Z Traceback (most recent call last): 2022-12-01T10:50:32.7266309Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7266563Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7266851Z AssertionError: torch.* op returned non-Tensor dict call_function 2022-12-01T10:50:32.7266857Z 2022-12-01T10:50:32.7266928Z from user code: 2022-12-01T10:50:32.7267041Z File "test_torch.py", line 200, in test_storage_setitem 2022-12-01T10:50:32.7267182Z storage_type_name = torch.storage._dtype_to_storage_type_map()[dtype] 2022-12-01T10:50:32.7267188Z 2022-12-01T10:50:32.7267320Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7267370Z ========== 2022-12-01T10:50:32.7267434Z ok (0.005s) 2022-12-01T10:50:32.7267590Z test_storage_setitem_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7267746Z test_storage_setitem_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7267895Z test_storage_setitem_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7268048Z test_storage_setitem_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7268192Z test_storage_setitem_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7268322Z test_storage_setitem_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7268461Z test_storage_setitem_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7268607Z test_storage_setitem_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7268754Z test_storage_setitem_cpu_qint32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7268901Z test_storage_setitem_cpu_qint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7269050Z test_storage_setitem_cpu_quint4x2 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7269197Z test_storage_setitem_cpu_quint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7269372Z test_storage_setitem_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7269570Z test_strides_propagation_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Torchdynamo fails with unknown reason (0.003s) 2022-12-01T10:50:32.7269719Z test_sync_warning_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:50:32.7269858Z test_take_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.196s) 2022-12-01T10:50:32.7269993Z test_take_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7270162Z test_take_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7270303Z test_take_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:50:32.7270440Z test_take_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7270574Z test_take_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7270711Z test_take_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:50:32.7270835Z test_take_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-12-01T10:50:32.7270968Z test_take_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7271099Z test_take_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7271233Z test_take_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7271366Z test_take_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7271499Z test_take_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:50:32.7271898Z test_tensor_from_storage_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 236 2022-12-01T10:50:32.7271962Z due to: 2022-12-01T10:50:32.7272046Z Traceback (most recent call last): 2022-12-01T10:50:32.7272201Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7272449Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7272658Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:50:32.7272664Z 2022-12-01T10:50:32.7272733Z from user code: 2022-12-01T10:50:32.7272867Z File "test_torch.py", line 237, in 2022-12-01T10:50:32.7272937Z a_s = a.storage() 2022-12-01T10:50:32.7272943Z 2022-12-01T10:50:32.7273076Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7273126Z ========== 2022-12-01T10:50:32.7273193Z ok (0.023s) 2022-12-01T10:50:32.7273345Z test_tensor_from_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7273503Z test_tensor_from_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7273659Z test_tensor_from_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7273875Z test_tensor_from_storage_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7274027Z test_tensor_from_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7274179Z test_tensor_from_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7274317Z test_tensor_from_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:50:32.7274469Z test_tensor_from_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:50:32.7274620Z test_tensor_from_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:50:32.7274770Z test_tensor_from_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:50:32.7274919Z test_tensor_from_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:50:32.7275143Z test_tensor_set_errors_multigpu_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-12-01T10:50:32.7275479Z test_tensor_shape_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 3758 2022-12-01T10:50:32.7275543Z due to: 2022-12-01T10:50:32.7275622Z Traceback (most recent call last): 2022-12-01T10:50:32.7275838Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7275931Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7276115Z RuntimeError: split_size can only be 0 if dimension size is 0, but got dimension size of 1 2022-12-01T10:50:32.7276122Z 2022-12-01T10:50:32.7276259Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7276264Z 2022-12-01T10:50:32.7276352Z Traceback (most recent call last): 2022-12-01T10:50:32.7276507Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7276599Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7276694Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7276710Z 2022-12-01T10:50:32.7276766Z from user code: 2022-12-01T10:50:32.7276866Z File "test_torch.py", line 3758, in 2022-12-01T10:50:32.7277003Z self.assertRaises(RuntimeError, lambda: torch.split(x, 0, dim=1)) 2022-12-01T10:50:32.7277008Z 2022-12-01T10:50:32.7277140Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7277203Z ========== 2022-12-01T10:50:32.7277266Z ok (0.871s) 2022-12-01T10:50:32.7277668Z test_tensor_storage_type_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_torch.py line 226 2022-12-01T10:50:32.7277720Z due to: 2022-12-01T10:50:32.7277810Z Traceback (most recent call last): 2022-12-01T10:50:32.7277965Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7278216Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7278500Z AssertionError: torch.* op returned non-Tensor dict call_function 2022-12-01T10:50:32.7278505Z 2022-12-01T10:50:32.7278575Z from user code: 2022-12-01T10:50:32.7278714Z File "test_torch.py", line 229, in 2022-12-01T10:50:32.7278877Z expected_storage_type = getattr(module, torch.storage._dtype_to_storage_type_map()[dtype]) 2022-12-01T10:50:32.7278883Z 2022-12-01T10:50:32.7279013Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7279063Z ========== 2022-12-01T10:50:32.7279126Z ok (0.008s) 2022-12-01T10:50:32.7279278Z test_tensor_storage_type_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7279438Z test_tensor_storage_type_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7279593Z test_tensor_storage_type_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7279747Z test_tensor_storage_type_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7279896Z test_tensor_storage_type_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7280036Z test_tensor_storage_type_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7280185Z test_tensor_storage_type_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7280336Z test_tensor_storage_type_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7280486Z test_tensor_storage_type_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7280635Z test_tensor_storage_type_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7280811Z test_tensor_storage_type_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:50:32.7281160Z test_ternary_op_mem_overlap_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test test_torch.py line 429 2022-12-01T10:50:32.7281224Z due to: 2022-12-01T10:50:32.7281312Z Traceback (most recent call last): 2022-12-01T10:50:32.7281516Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:50:32.7281610Z return self._op(*args, **kwargs or {}) 2022-12-01T10:50:32.7282030Z RuntimeError: unsupported operation: some elements of the input tensor and the written-to tensor refer to a single memory location. Please clone() the tensor before performing the operation. 2022-12-01T10:50:32.7282037Z 2022-12-01T10:50:32.7282174Z The above exception was the direct cause of the following exception: 2022-12-01T10:50:32.7282179Z 2022-12-01T10:50:32.7282270Z Traceback (most recent call last): 2022-12-01T10:50:32.7282427Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:50:32.7282519Z raise TorchRuntimeError() from e 2022-12-01T10:50:32.7282624Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:50:32.7282629Z 2022-12-01T10:50:32.7282686Z from user code: 2022-12-01T10:50:32.7282784Z File "test_torch.py", line 432, in _test 2022-12-01T10:50:32.7282920Z self.assertEqual(op(input, out=output), output_exp, msg=op.__name__) 2022-12-01T10:50:32.7282925Z 2022-12-01T10:50:32.7283054Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7283115Z ========== 2022-12-01T10:50:32.7283181Z ok (0.633s) 2022-12-01T10:50:32.7283552Z test_typed_storage_meta_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_typed_storage_meta test_torch.py line 288 2022-12-01T10:50:32.7283613Z due to: 2022-12-01T10:50:32.7283692Z Traceback (most recent call last): 2022-12-01T10:50:32.7283847Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7284094Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7284372Z AssertionError: torch.* op returned non-Tensor TypedStorage call_function 2022-12-01T10:50:32.7284377Z 2022-12-01T10:50:32.7284445Z from user code: 2022-12-01T10:50:32.7284563Z File "test_torch.py", line 298, in test_typed_storage_meta 2022-12-01T10:50:32.7284696Z s_check = torch.TypedStorage(*args, dtype=dtype, device=device) 2022-12-01T10:50:32.7284701Z 2022-12-01T10:50:32.7284831Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7284881Z ========== 2022-12-01T10:50:32.7284945Z ok (0.005s) 2022-12-01T10:50:32.7285101Z test_typed_storage_meta_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7285257Z test_typed_storage_meta_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7285415Z test_typed_storage_meta_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7285569Z test_typed_storage_meta_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7285723Z test_typed_storage_meta_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7285874Z test_typed_storage_meta_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7286013Z test_typed_storage_meta_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7286159Z test_typed_storage_meta_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7286308Z test_typed_storage_meta_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7286460Z test_typed_storage_meta_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7286642Z test_typed_storage_meta_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:50:32.7286802Z test_unfold_all_devices_and_dtypes_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:50:32.7287077Z test_unfold_scalars_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:50:32.7287231Z test_uniform_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-12-01T10:50:32.7287368Z test_uniform_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7287513Z test_uniform_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:50:32.7287769Z test_uniform_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:50:32.7288148Z test_untyped_storage_meta_cpu (__main__.TestTorchDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_untyped_storage_meta test_torch.py line 302 2022-12-01T10:50:32.7288215Z due to: 2022-12-01T10:50:32.7288311Z Traceback (most recent call last): 2022-12-01T10:50:32.7288469Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:50:32.7288722Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:50:32.7289012Z AssertionError: torch.* op returned non-Tensor UntypedStorage call_function 2022-12-01T10:50:32.7289018Z 2022-12-01T10:50:32.7289077Z from user code: 2022-12-01T10:50:32.7289201Z File "test_torch.py", line 311, in test_untyped_storage_meta 2022-12-01T10:50:32.7289324Z s_check = torch.UntypedStorage(*args, device=device) 2022-12-01T10:50:32.7289331Z 2022-12-01T10:50:32.7289460Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:50:32.7289525Z ========== 2022-12-01T10:50:32.7289592Z ok (0.004s) 2022-12-01T10:50:32.7289741Z test_warn_always_caught_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:50:32.7289907Z test_where_scalar_handcrafted_values_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.187s) 2022-12-01T10:50:32.7290067Z test_cuda_vitals_gpu_only_cpu (__main__.TestVitalSignsCudaCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:50:32.7290071Z 2022-12-01T10:50:32.7290268Z ---------------------------------------------------------------------- 2022-12-01T10:50:32.7290346Z Ran 826 tests in 80.852s 2022-12-01T10:50:32.7290351Z 2022-12-01T10:50:32.7290423Z OK (skipped=63) 2022-12-01T10:50:32.7290428Z 2022-12-01T10:50:32.7290510Z Generating XML reports... 2022-12-01T10:50:32.7290800Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221201104910.xml 2022-12-01T10:50:32.7291064Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorch-20221201104910.xml 2022-12-01T10:50:32.7291358Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorchDeviceTypeCPU-20221201104910.xml 2022-12-01T10:50:32.7291638Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestVitalSignsCudaCPU-20221201104910.xml 2022-12-01T10:50:32.7291768Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-12-01T10:50:32.7291854Z [TORCH_VITAL] CUDA.used False 2022-12-01T10:50:32.7291979Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-12-01T10:50:32.7292064Z [TORCH_VITAL] CUDA.used False 2022-12-01T10:50:32.7292161Z [TORCH_VITAL] Dataloader.enabled True 2022-12-01T10:50:32.7292283Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-12-01T10:50:32.7292371Z [TORCH_VITAL] CUDA.used False 2022-12-01T10:50:32.7292458Z [TORCH_VITAL] Dataloader.enabled True 2022-12-01T10:50:32.7292582Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-12-01T10:50:32.7292669Z [TORCH_VITAL] CUDA.used False 2022-12-01T10:50:32.7292674Z 2022-12-01T10:50:32.7293021Z ##[endgroup] 2022-12-01T10:50:32.7293287Z FINISHED PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_jlabuyr2) 2022-12-01T10:50:32.7293332Z 2022-12-01T10:50:32.7293498Z Running test_binary_ufuncs ... [2022-12-01 10:50:32.656536] 2022-12-01T10:50:32.7293838Z Executing ['/opt/conda/bin/python', '-bb', 'test_binary_ufuncs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:50:32.656919] 2022-12-01T10:52:10.4136721Z 2022-12-01T10:52:10.4137230Z Expand the folded group to see the log file of test_binary_ufuncs 2022-12-01T10:52:10.4137992Z ##[group]PRINTING LOG FILE of test_binary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_binary_ufuncs_wyo5218p) 2022-12-01T10:52:10.4145111Z Test results will be stored in test-reports/python-unittest/test_binary_ufuncs 2022-12-01T10:52:10.4145769Z 2022-12-01T10:52:10.4145919Z Running tests... 2022-12-01T10:52:10.4146448Z ---------------------------------------------------------------------- 2022-12-01T10:52:10.4146907Z test___add___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.720s) 2022-12-01T10:52:10.4147453Z test___add___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4147985Z test___add___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4148461Z test___add___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4148919Z test___add___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4149447Z test___add___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4149979Z test___add___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4150534Z test___add___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4151061Z test___and___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4151606Z test___and___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4152174Z test___and___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4152733Z test___and___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4153170Z test___and___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4153568Z test___and___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4154009Z test___and___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4154466Z test___and___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4154996Z test___eq___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4155492Z test___eq___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4156008Z test___eq___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4156535Z test___eq___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4156982Z test___eq___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4157484Z test___eq___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4158053Z test___eq___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4158605Z test___eq___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4159171Z test___floordiv___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4159786Z test___floordiv___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4160363Z test___floordiv___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4161124Z test___floordiv___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4161664Z test___floordiv___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4162228Z test___floordiv___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4162812Z test___floordiv___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4163351Z test___floordiv___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4163876Z test___ge___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4164506Z test___ge___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4165080Z test___ge___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4165636Z test___ge___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4166213Z test___ge___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4166796Z test___ge___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4167527Z test___ge___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4167981Z test___ge___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4168489Z test___gt___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4169047Z test___gt___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4169595Z test___gt___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4170153Z test___gt___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4170732Z test___gt___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4171314Z test___gt___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4171812Z test___gt___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4172266Z test___gt___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4172740Z test___iadd___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4173261Z test___iadd___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4173825Z test___iadd___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4174391Z test___iadd___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4174961Z test___iadd___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4175518Z test___iadd___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4176081Z test___iadd___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4176677Z test___iadd___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4177207Z test___iand___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4177799Z test___iand___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4178420Z test___iand___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4178776Z test___iand___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4179082Z test___iand___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4179399Z test___iand___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4179816Z test___iand___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4180137Z test___iand___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4180455Z test___ifloordiv___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4180791Z test___ifloordiv___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4181127Z test___ifloordiv___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4181492Z test___ifloordiv___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4181829Z test___ifloordiv___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4182269Z test___ifloordiv___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4182698Z test___ifloordiv___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4183180Z test___ifloordiv___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4183691Z test___ilshift___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4184210Z test___ilshift___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4184768Z test___ilshift___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4185291Z test___ilshift___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4185883Z test___ilshift___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4186460Z test___ilshift___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4187012Z test___ilshift___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4187568Z test___ilshift___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4188089Z test___imod___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4188636Z test___imod___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4189153Z test___imod___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4189677Z test___imod___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4190255Z test___imod___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4190818Z test___imod___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4191378Z test___imod___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4191945Z test___imod___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4192497Z test___imul___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4193028Z test___imul___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4193594Z test___imul___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4194128Z test___imul___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4194640Z test___imul___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4195164Z test___imul___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4198870Z test___imul___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4199421Z test___imul___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4200059Z test___ior___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4200654Z test___ior___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4201178Z test___ior___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4201574Z test___ior___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4202028Z test___ior___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4202507Z test___ior___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4203125Z test___ior___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4203635Z test___ior___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4204160Z test___ipow___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4204696Z test___ipow___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4205296Z test___ipow___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4205887Z test___ipow___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4206470Z test___ipow___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4207182Z test___ipow___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4207863Z test___ipow___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4208430Z test___ipow___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4208978Z test___irshift___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4209580Z test___irshift___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4210175Z test___irshift___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4210748Z test___irshift___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4211325Z test___irshift___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4211891Z test___irshift___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4212473Z test___irshift___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4213034Z test___irshift___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4213621Z test___isub___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4214202Z test___isub___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4214762Z test___isub___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4215323Z test___isub___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4215915Z test___isub___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4216504Z test___isub___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4217091Z test___isub___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4217670Z test___isub___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4218223Z test___itruediv___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4218698Z test___itruediv___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4219327Z test___itruediv___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4219875Z test___itruediv___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4220440Z test___itruediv___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4220991Z test___itruediv___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4221522Z test___itruediv___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4222135Z test___itruediv___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4222823Z test___ixor___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4223414Z test___ixor___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4223917Z test___ixor___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4224438Z test___ixor___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4224971Z test___ixor___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4225514Z test___ixor___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4226077Z test___ixor___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4226673Z test___ixor___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4227163Z test___le___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4227596Z test___le___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4228077Z test___le___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4228545Z test___le___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4228941Z test___le___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4229361Z test___le___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4229853Z test___le___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4230327Z test___le___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4230840Z test___lshift___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4231400Z test___lshift___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4231945Z test___lshift___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4232478Z test___lshift___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4233011Z test___lshift___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4233568Z test___lshift___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4234144Z test___lshift___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4234683Z test___lshift___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4235299Z test___lt___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4235730Z test___lt___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4236214Z test___lt___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4236745Z test___lt___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4237329Z test___lt___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4237948Z test___lt___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4238478Z test___lt___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4239082Z test___lt___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4239546Z test___matmul___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4240120Z test___matmul___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4240763Z test___matmul___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4241250Z test___matmul___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4241785Z test___matmul___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4242317Z test___matmul___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4242873Z test___matmul___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4243439Z test___matmul___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4243975Z test___mod___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4244505Z test___mod___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4245047Z test___mod___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4245576Z test___mod___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4246108Z test___mod___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4246605Z test___mod___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4247347Z test___mod___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4247888Z test___mod___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4248416Z test___mul___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4248969Z test___mul___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4249544Z test___mul___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4250079Z test___mul___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4250631Z test___mul___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4251214Z test___mul___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4251763Z test___mul___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4252336Z test___mul___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4252838Z test___ne___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4253417Z test___ne___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4253962Z test___ne___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4254478Z test___ne___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4254990Z test___ne___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4255515Z test___ne___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4256095Z test___ne___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4256822Z test___ne___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4257332Z test___or___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4257841Z test___or___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4258330Z test___or___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4258841Z test___or___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4259339Z test___or___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4259929Z test___or___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4260468Z test___or___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4261015Z test___or___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4261584Z test___pow___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4262161Z test___pow___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4262721Z test___pow___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4263286Z test___pow___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4263835Z test___pow___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4264375Z test___pow___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4264929Z test___pow___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4265480Z test___pow___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4266018Z test___radd___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4266562Z test___radd___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4267105Z test___radd___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4267638Z test___radd___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4268181Z test___radd___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4268709Z test___radd___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4269321Z test___radd___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4269922Z test___radd___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4270451Z test___rand___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4270938Z test___rand___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4271457Z test___rand___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4271946Z test___rand___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4272434Z test___rand___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4272912Z test___rand___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4273413Z test___rand___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4273941Z test___rand___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4274559Z test___rfloordiv___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4275190Z test___rfloordiv___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4275867Z test___rfloordiv___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4276446Z test___rfloordiv___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4277039Z test___rfloordiv___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4277622Z test___rfloordiv___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4278217Z test___rfloordiv___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4278850Z test___rfloordiv___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4279450Z test___rlshift___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4280004Z test___rlshift___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4280582Z test___rlshift___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4281193Z test___rlshift___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4281797Z test___rlshift___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4282381Z test___rlshift___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4282934Z test___rlshift___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4283520Z test___rlshift___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4284094Z test___rmatmul___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4284689Z test___rmatmul___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4285229Z test___rmatmul___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4286066Z test___rmatmul___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4286640Z test___rmatmul___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4287333Z test___rmatmul___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4287880Z test___rmatmul___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4288426Z test___rmatmul___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4288988Z test___rmod___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4289517Z test___rmod___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4290068Z test___rmod___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4290618Z test___rmod___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4291188Z test___rmod___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4291703Z test___rmod___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4292242Z test___rmod___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4292777Z test___rmod___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4293304Z test___rmul___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4293874Z test___rmul___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4294479Z test___rmul___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4295075Z test___rmul___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4295717Z test___rmul___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4296262Z test___rmul___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4296862Z test___rmul___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4297434Z test___rmul___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4298034Z test___ror___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4298682Z test___ror___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4299239Z test___ror___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4299758Z test___ror___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4300286Z test___ror___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4300830Z test___ror___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4301425Z test___ror___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4301994Z test___ror___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4302570Z test___rpow___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4303176Z test___rpow___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4303717Z test___rpow___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4304275Z test___rpow___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4304851Z test___rpow___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4305441Z test___rpow___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4305972Z test___rpow___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4306498Z test___rpow___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4307045Z test___rrshift___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4307676Z test___rrshift___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4308253Z test___rrshift___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4308873Z test___rrshift___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4309475Z test___rrshift___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4310061Z test___rrshift___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4310495Z test___rrshift___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4310817Z test___rrshift___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4311141Z test___rshift___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4311455Z test___rshift___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4311783Z test___rshift___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4312284Z test___rshift___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4312839Z test___rshift___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4313160Z test___rshift___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4313530Z test___rshift___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4313857Z test___rshift___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4314165Z test___rsub___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4314488Z test___rsub___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4314869Z test___rsub___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4315332Z test___rsub___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4315954Z test___rsub___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4316277Z test___rsub___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4316597Z test___rsub___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4316907Z test___rsub___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4317235Z test___rtruediv___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4317569Z test___rtruediv___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4317898Z test___rtruediv___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4318215Z test___rtruediv___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4318546Z test___rtruediv___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4318873Z test___rtruediv___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4319183Z test___rtruediv___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4319512Z test___rtruediv___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4319835Z test___rxor___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4320158Z test___rxor___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4320465Z test___rxor___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4320785Z test___rxor___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4321103Z test___rxor___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4321408Z test___rxor___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4321728Z test___rxor___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4322045Z test___rxor___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4322368Z test___sub___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4322676Z test___sub___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4322990Z test___sub___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4323309Z test___sub___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4323623Z test___sub___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4323926Z test___sub___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4324243Z test___sub___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4324557Z test___sub___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4324868Z test___truediv___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4325232Z test___truediv___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4325562Z test___truediv___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4325888Z test___truediv___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4326197Z test___truediv___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4326526Z test___truediv___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4326876Z test___truediv___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4327426Z test___truediv___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4327751Z test___xor___not_implemented_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4328077Z test___xor___not_implemented_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4328399Z test___xor___not_implemented_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4328706Z test___xor___not_implemented_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4329024Z test___xor___not_implemented_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4329345Z test___xor___not_implemented_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4329665Z test___xor___not_implemented_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4329971Z test___xor___not_implemented_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4330562Z test_add_broadcast_empty_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 828 2022-12-01T10:52:10.4330882Z due to: 2022-12-01T10:52:10.4331056Z Traceback (most recent call last): 2022-12-01T10:52:10.4331406Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.4331681Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.4332046Z RuntimeError: The size of tensor a (0) must match the size of tensor b (5) at non-singleton dimension 1 2022-12-01T10:52:10.4332241Z 2022-12-01T10:52:10.4332378Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.4332546Z 2022-12-01T10:52:10.4332637Z Traceback (most recent call last): 2022-12-01T10:52:10.4332916Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.4333175Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.4333408Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.4333551Z 2022-12-01T10:52:10.4333622Z from user code: 2022-12-01T10:52:10.4333818Z File "test_binary_ufuncs.py", line 828, in 2022-12-01T10:52:10.4334101Z lambda: torch.randn(5, 0, device=device) + torch.randn(0, 5, device=device), 2022-12-01T10:52:10.4334266Z 2022-12-01T10:52:10.4334397Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.4334615Z ========== 2022-12-01T10:52:10.4334925Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 857 2022-12-01T10:52:10.4335175Z due to: 2022-12-01T10:52:10.4335359Z Traceback (most recent call last): 2022-12-01T10:52:10.4335684Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.4335958Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.4336337Z RuntimeError: The size of tensor a (7) must match the size of tensor b (2) at non-singleton dimension 0 2022-12-01T10:52:10.4336533Z 2022-12-01T10:52:10.4336656Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.4336821Z 2022-12-01T10:52:10.4336979Z Traceback (most recent call last): 2022-12-01T10:52:10.4337262Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.4337541Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.4337763Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.4337905Z 2022-12-01T10:52:10.4337977Z from user code: 2022-12-01T10:52:10.4338189Z File "test_binary_ufuncs.py", line 857, in 2022-12-01T10:52:10.4338451Z lambda: torch.randn(7, 0, device=device) + torch.randn(2, 1, device=device), 2022-12-01T10:52:10.4338618Z 2022-12-01T10:52:10.4338752Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.4338974Z ========== 2022-12-01T10:52:10.4339170Z ok (0.108s) 2022-12-01T10:52:10.4339578Z test_add_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3566 2022-12-01T10:52:10.4339873Z due to: 2022-12-01T10:52:10.4340055Z Traceback (most recent call last): 2022-12-01T10:52:10.4340386Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.4340654Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.4340941Z RuntimeError: For integral input tensors, argument alpha must not be a floating point number. 2022-12-01T10:52:10.4341129Z 2022-12-01T10:52:10.4341252Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.4341416Z 2022-12-01T10:52:10.4341507Z Traceback (most recent call last): 2022-12-01T10:52:10.4341781Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.4342053Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.4342274Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.4342420Z 2022-12-01T10:52:10.4342520Z from user code: 2022-12-01T10:52:10.4342875Z File "test_binary_ufuncs.py", line 3566, in 2022-12-01T10:52:10.4343246Z lambda: torch.add(m1, m2, alpha=1.0), 2022-12-01T10:52:10.4343474Z 2022-12-01T10:52:10.4343683Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.4344014Z ========== 2022-12-01T10:52:10.4344554Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3589 2022-12-01T10:52:10.4344936Z due to: 2022-12-01T10:52:10.4345233Z Traceback (most recent call last): 2022-12-01T10:52:10.4345753Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.4346146Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.4346733Z RuntimeError: result type ComplexFloat can't be cast to the desired output type Double 2022-12-01T10:52:10.4347030Z 2022-12-01T10:52:10.4347267Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.4347550Z 2022-12-01T10:52:10.4347692Z Traceback (most recent call last): 2022-12-01T10:52:10.4348153Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.4348612Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.4348961Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.4349229Z 2022-12-01T10:52:10.4349357Z from user code: 2022-12-01T10:52:10.4349745Z File "test_binary_ufuncs.py", line 3589, in 2022-12-01T10:52:10.4350129Z lambda: torch.add(m1, m1, out=m2), 2022-12-01T10:52:10.4350332Z 2022-12-01T10:52:10.4350549Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.4350931Z ========== 2022-12-01T10:52:10.4351224Z ok (0.325s) 2022-12-01T10:52:10.4351605Z test_add_with_tail_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.458s) 2022-12-01T10:52:10.4352406Z test_addcmul_scalars_as_floats_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 868 2022-12-01T10:52:10.4352732Z due to: 2022-12-01T10:52:10.4352905Z Traceback (most recent call last): 2022-12-01T10:52:10.4353192Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:52:10.4353594Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:52:10.4353950Z TypeError: addcmul(): argument 'value' must be Number, not FakeTensor 2022-12-01T10:52:10.4354101Z 2022-12-01T10:52:10.4354173Z from user code: 2022-12-01T10:52:10.4354385Z File "test_binary_ufuncs.py", line 868, in 2022-12-01T10:52:10.4354657Z self.assertRaises(Exception, lambda: y.addcmul(y, y, value=x)) 2022-12-01T10:52:10.4354820Z 2022-12-01T10:52:10.4354938Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.4355156Z ========== 2022-12-01T10:52:10.4355318Z ok (0.018s) 2022-12-01T10:52:10.4355619Z test_addsub_half_tensor_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.080s) 2022-12-01T10:52:10.4355934Z test_atan2_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.269s) 2022-12-01T10:52:10.4356222Z test_atan2_edgecases_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.070s) 2022-12-01T10:52:10.4356544Z test_batch_vs_slicing___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4356858Z test_batch_vs_slicing___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4357191Z test_batch_vs_slicing___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4357523Z test_batch_vs_slicing___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4357843Z test_batch_vs_slicing___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4358169Z test_batch_vs_slicing___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4358499Z test_batch_vs_slicing___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4358818Z test_batch_vs_slicing___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4359120Z test_batch_vs_slicing___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4359439Z test_batch_vs_slicing___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4359759Z test_batch_vs_slicing___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4360074Z test_batch_vs_slicing___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4360376Z test_batch_vs_slicing___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4360692Z test_batch_vs_slicing___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4361011Z test_batch_vs_slicing___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4361307Z test_batch_vs_slicing___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4361616Z test_batch_vs_slicing___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4361996Z test_batch_vs_slicing___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4362316Z test_batch_vs_slicing___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4362643Z test_batch_vs_slicing___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4363013Z test_batch_vs_slicing___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4363347Z test_batch_vs_slicing___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4363662Z test_batch_vs_slicing___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4363988Z test_batch_vs_slicing___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4364311Z test_batch_vs_slicing___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4364630Z test_batch_vs_slicing___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4364973Z test_batch_vs_slicing___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4365285Z test_batch_vs_slicing___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4365601Z test_batch_vs_slicing___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4365917Z test_batch_vs_slicing___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4366222Z test_batch_vs_slicing___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4366577Z test_batch_vs_slicing___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4366901Z test_batch_vs_slicing___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4367383Z test_batch_vs_slicing___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4367712Z test_batch_vs_slicing___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4368036Z test_batch_vs_slicing___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4368367Z test_batch_vs_slicing___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4368683Z test_batch_vs_slicing___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4369010Z test_batch_vs_slicing___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4369334Z test_batch_vs_slicing___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4369642Z test_batch_vs_slicing___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4369954Z test_batch_vs_slicing___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4370269Z test_batch_vs_slicing___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4370584Z test_batch_vs_slicing___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4370890Z test_batch_vs_slicing___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4371205Z test_batch_vs_slicing___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4371518Z test_batch_vs_slicing___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4371833Z test_batch_vs_slicing___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4372137Z test_batch_vs_slicing___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4372449Z test_batch_vs_slicing___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4372764Z test_batch_vs_slicing___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4373066Z test_batch_vs_slicing___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4373879Z test_batch_vs_slicing___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.4374496Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.4375156Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.4375635Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.4375850Z ok (0.004s) 2022-12-01T10:52:10.4376111Z test_batch_vs_slicing___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4376511Z test_batch_vs_slicing___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4376845Z test_batch_vs_slicing___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4377158Z test_batch_vs_slicing___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4377484Z test_batch_vs_slicing___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4377803Z test_batch_vs_slicing___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4378145Z test_batch_vs_slicing___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4378468Z test_batch_vs_slicing___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4378786Z test_batch_vs_slicing___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4379108Z test_batch_vs_slicing___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4379416Z test_batch_vs_slicing___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4379744Z test_batch_vs_slicing___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4380076Z test_batch_vs_slicing___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4380389Z test_batch_vs_slicing___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4380711Z test_batch_vs_slicing___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4381035Z test_batch_vs_slicing___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4381349Z test_batch_vs_slicing___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4381649Z test_batch_vs_slicing___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4381962Z test_batch_vs_slicing___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4382279Z test_batch_vs_slicing___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4382593Z test_batch_vs_slicing___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4382893Z test_batch_vs_slicing___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4383212Z test_batch_vs_slicing___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4383525Z test_batch_vs_slicing___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4383820Z test_batch_vs_slicing___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4384127Z test_batch_vs_slicing___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4384440Z test_batch_vs_slicing___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4384822Z test_batch_vs_slicing_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4385130Z test_batch_vs_slicing_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4385509Z test_batch_vs_slicing_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4386357Z test_batch_vs_slicing_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py:142: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-12-01T10:52:10.4386862Z result = torch.complex(real, imag) 2022-12-01T10:52:10.4387089Z ok (0.005s) 2022-12-01T10:52:10.4387340Z test_batch_vs_slicing_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4387754Z test_batch_vs_slicing_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4388065Z test_batch_vs_slicing_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4388388Z test_batch_vs_slicing_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4388752Z test_batch_vs_slicing_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4389070Z test_batch_vs_slicing_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4389423Z test_batch_vs_slicing_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4389791Z test_batch_vs_slicing_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4390163Z test_batch_vs_slicing_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4390473Z test_batch_vs_slicing_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4390852Z test_batch_vs_slicing_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4391175Z test_batch_vs_slicing_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4391545Z test_batch_vs_slicing_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4391852Z test_batch_vs_slicing_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4392167Z test_batch_vs_slicing_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4392531Z test_batch_vs_slicing_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4392834Z test_batch_vs_slicing_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4393204Z test_batch_vs_slicing_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4393631Z test_batch_vs_slicing_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4394018Z test_batch_vs_slicing_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4394335Z test_batch_vs_slicing_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4394663Z test_batch_vs_slicing_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4394987Z test_batch_vs_slicing_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4395313Z test_batch_vs_slicing_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4395635Z test_batch_vs_slicing_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4395980Z test_batch_vs_slicing_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4396322Z test_batch_vs_slicing_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4396652Z test_batch_vs_slicing_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4396995Z test_batch_vs_slicing_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4397328Z test_batch_vs_slicing_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4397655Z test_batch_vs_slicing_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4397965Z test_batch_vs_slicing_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4398290Z test_batch_vs_slicing_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4398611Z test_batch_vs_slicing_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4398922Z test_batch_vs_slicing_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4399312Z test_batch_vs_slicing_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4399658Z test_batch_vs_slicing_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4400001Z test_batch_vs_slicing_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4400328Z test_batch_vs_slicing_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4400672Z test_batch_vs_slicing_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4401043Z test_batch_vs_slicing_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4401371Z test_batch_vs_slicing_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4401685Z test_batch_vs_slicing_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4402013Z test_batch_vs_slicing_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4402337Z test_batch_vs_slicing_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4402649Z test_batch_vs_slicing_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4402977Z test_batch_vs_slicing_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4403305Z test_batch_vs_slicing_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4403633Z test_batch_vs_slicing_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4403951Z test_batch_vs_slicing_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4404279Z test_batch_vs_slicing_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4404601Z test_batch_vs_slicing_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4404933Z test_batch_vs_slicing_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4405241Z test_batch_vs_slicing_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4405567Z test_batch_vs_slicing_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4405889Z test_batch_vs_slicing_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4406202Z test_batch_vs_slicing_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4406532Z test_batch_vs_slicing_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4406862Z test_batch_vs_slicing_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4407419Z test_batch_vs_slicing_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4407739Z test_batch_vs_slicing_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4408067Z test_batch_vs_slicing_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4408393Z test_batch_vs_slicing_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4408703Z test_batch_vs_slicing_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4409021Z test_batch_vs_slicing_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4409344Z test_batch_vs_slicing_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4409667Z test_batch_vs_slicing_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4409974Z test_batch_vs_slicing_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4410299Z test_batch_vs_slicing_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4410691Z test_batch_vs_slicing_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4411010Z test_batch_vs_slicing_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4411343Z test_batch_vs_slicing_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4411676Z test_batch_vs_slicing_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4412007Z test_batch_vs_slicing_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4412351Z test_batch_vs_slicing_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4412729Z test_batch_vs_slicing_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4413050Z test_batch_vs_slicing_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4413379Z test_batch_vs_slicing_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4413687Z test_batch_vs_slicing_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4414027Z test_batch_vs_slicing_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4414379Z test_batch_vs_slicing_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4414716Z test_batch_vs_slicing_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4415064Z test_batch_vs_slicing_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4415411Z test_batch_vs_slicing_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4415755Z test_batch_vs_slicing_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4416088Z test_batch_vs_slicing_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4416432Z test_batch_vs_slicing_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4416779Z test_batch_vs_slicing_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4417128Z test_batch_vs_slicing_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4417467Z test_batch_vs_slicing_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4417823Z test_batch_vs_slicing_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4418185Z test_batch_vs_slicing_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4418525Z test_batch_vs_slicing_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4418880Z test_batch_vs_slicing_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4419230Z test_batch_vs_slicing_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4419576Z test_batch_vs_slicing_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4419909Z test_batch_vs_slicing_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4420254Z test_batch_vs_slicing_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4420599Z test_batch_vs_slicing_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4420944Z test_batch_vs_slicing_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4421280Z test_batch_vs_slicing_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4421659Z test_batch_vs_slicing_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4422004Z test_batch_vs_slicing_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4422331Z test_batch_vs_slicing_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4422668Z test_batch_vs_slicing_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4423010Z test_batch_vs_slicing_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4423378Z test_batch_vs_slicing_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4423707Z test_batch_vs_slicing_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4424055Z test_batch_vs_slicing_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4424390Z test_batch_vs_slicing_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4424711Z test_batch_vs_slicing_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4425017Z test_batch_vs_slicing_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4425342Z test_batch_vs_slicing_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4425665Z test_batch_vs_slicing_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4425974Z test_batch_vs_slicing_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4426289Z test_batch_vs_slicing_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4426600Z test_batch_vs_slicing_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4426944Z test_batch_vs_slicing_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4457096Z test_batch_vs_slicing_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4457444Z test_batch_vs_slicing_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4457756Z test_batch_vs_slicing_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4458078Z test_batch_vs_slicing_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4458407Z test_batch_vs_slicing_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4458760Z test_batch_vs_slicing_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4459087Z test_batch_vs_slicing_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4459434Z test_batch_vs_slicing_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4459778Z test_batch_vs_slicing_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4460104Z test_batch_vs_slicing_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4460439Z test_batch_vs_slicing_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4460765Z test_batch_vs_slicing_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4461096Z test_batch_vs_slicing_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4461404Z test_batch_vs_slicing_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4461732Z test_batch_vs_slicing_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4462056Z test_batch_vs_slicing_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4462404Z test_batch_vs_slicing_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.4462852Z test_batch_vs_slicing_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4463192Z test_batch_vs_slicing_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4463535Z test_batch_vs_slicing_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4463855Z test_batch_vs_slicing_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4464189Z test_batch_vs_slicing_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4464561Z test_batch_vs_slicing_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4464893Z test_batch_vs_slicing_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4465207Z test_batch_vs_slicing_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4465539Z test_batch_vs_slicing_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4465860Z test_batch_vs_slicing_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4466166Z test_batch_vs_slicing_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4466485Z test_batch_vs_slicing_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4466805Z test_batch_vs_slicing_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4467124Z test_batch_vs_slicing_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4467426Z test_batch_vs_slicing_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4467738Z test_batch_vs_slicing_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4468045Z test_batch_vs_slicing_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4468360Z test_batch_vs_slicing_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4468666Z test_batch_vs_slicing_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4468982Z test_batch_vs_slicing_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4469298Z test_batch_vs_slicing_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4469606Z test_batch_vs_slicing_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4469924Z test_batch_vs_slicing_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4470243Z test_batch_vs_slicing_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4470550Z test_batch_vs_slicing_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4470849Z test_batch_vs_slicing_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4471162Z test_batch_vs_slicing_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4471476Z test_batch_vs_slicing_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4471783Z test_batch_vs_slicing_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4472105Z test_batch_vs_slicing_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4472420Z test_batch_vs_slicing_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4472742Z test_batch_vs_slicing_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4473046Z test_batch_vs_slicing_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4473356Z test_batch_vs_slicing_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4473695Z test_batch_vs_slicing_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4473992Z test_batch_vs_slicing_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4474309Z test_batch_vs_slicing_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4474625Z test_batch_vs_slicing_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4474937Z test_batch_vs_slicing_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4475233Z test_batch_vs_slicing_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4475576Z test_batch_vs_slicing_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4475898Z test_batch_vs_slicing_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4476202Z test_batch_vs_slicing_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4476521Z test_batch_vs_slicing_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4476835Z test_batch_vs_slicing_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4477148Z test_batch_vs_slicing_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4477445Z test_batch_vs_slicing_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4477757Z test_batch_vs_slicing_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4478070Z test_batch_vs_slicing_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4478364Z test_batch_vs_slicing_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4478672Z test_batch_vs_slicing_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4478980Z test_batch_vs_slicing_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4479301Z test_batch_vs_slicing_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4479602Z test_batch_vs_slicing_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4479917Z test_batch_vs_slicing_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4480230Z test_batch_vs_slicing_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4480537Z test_batch_vs_slicing_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4480832Z test_batch_vs_slicing_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4481141Z test_batch_vs_slicing_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4481447Z test_batch_vs_slicing_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4481742Z test_batch_vs_slicing_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4482053Z test_batch_vs_slicing_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4482381Z test_batch_vs_slicing_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4482717Z test_batch_vs_slicing_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4483037Z test_batch_vs_slicing_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4483369Z test_batch_vs_slicing_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4483695Z test_batch_vs_slicing_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4484010Z test_batch_vs_slicing_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4484342Z test_batch_vs_slicing_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4484666Z test_batch_vs_slicing_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4485021Z test_batch_vs_slicing_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4485334Z test_batch_vs_slicing_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4485657Z test_batch_vs_slicing_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4485979Z test_batch_vs_slicing_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4486296Z test_batch_vs_slicing_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4486653Z test_batch_vs_slicing_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4487139Z test_batch_vs_slicing_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4487551Z test_batch_vs_slicing_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4487866Z test_batch_vs_slicing_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4488193Z test_batch_vs_slicing_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4488523Z test_batch_vs_slicing_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4488848Z test_batch_vs_slicing_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4489153Z test_batch_vs_slicing_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4489491Z test_batch_vs_slicing_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4489824Z test_batch_vs_slicing_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4490143Z test_batch_vs_slicing_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4490475Z test_batch_vs_slicing_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4490806Z test_batch_vs_slicing_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4491130Z test_batch_vs_slicing_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4491438Z test_batch_vs_slicing_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4491763Z test_batch_vs_slicing_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4492083Z test_batch_vs_slicing_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4492393Z test_batch_vs_slicing_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4492714Z test_batch_vs_slicing_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4493033Z test_batch_vs_slicing_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4493392Z test_batch_vs_slicing_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4493764Z test_batch_vs_slicing_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4494151Z test_batch_vs_slicing_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4494539Z test_batch_vs_slicing_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4494926Z test_batch_vs_slicing_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4495303Z test_batch_vs_slicing_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4495684Z test_batch_vs_slicing_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4496124Z test_batch_vs_slicing_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4496505Z test_batch_vs_slicing_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4496871Z test_batch_vs_slicing_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4497249Z test_batch_vs_slicing_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4497623Z test_batch_vs_slicing_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4498053Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4498456Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4498869Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4499281Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4499692Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4500085Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4500491Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4500888Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4501286Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4501670Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4502068Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4502470Z test_batch_vs_slicing_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4502829Z test_batch_vs_slicing_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4503131Z test_batch_vs_slicing_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4503444Z test_batch_vs_slicing_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4503759Z test_batch_vs_slicing_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4504062Z test_batch_vs_slicing_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4504378Z test_batch_vs_slicing_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4504702Z test_batch_vs_slicing_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4505029Z test_batch_vs_slicing_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4505347Z test_batch_vs_slicing_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4505676Z test_batch_vs_slicing_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4506000Z test_batch_vs_slicing_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4506308Z test_batch_vs_slicing_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4506664Z test_batch_vs_slicing_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4506984Z test_batch_vs_slicing_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4507300Z test_batch_vs_slicing_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4507604Z test_batch_vs_slicing_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4507922Z test_batch_vs_slicing_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4508238Z test_batch_vs_slicing_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4508567Z test_batch_vs_slicing_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4508884Z test_batch_vs_slicing_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4509193Z test_batch_vs_slicing_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4509499Z test_batch_vs_slicing_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4509792Z test_batch_vs_slicing_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4510098Z test_batch_vs_slicing_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4510403Z test_batch_vs_slicing_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4510696Z test_batch_vs_slicing_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4511006Z test_batch_vs_slicing_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4511333Z test_batch_vs_slicing_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4511667Z test_batch_vs_slicing_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4511994Z test_batch_vs_slicing_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4512340Z test_batch_vs_slicing_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4512680Z test_batch_vs_slicing_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4513016Z test_batch_vs_slicing_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4513337Z test_batch_vs_slicing_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4513662Z test_batch_vs_slicing_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4513996Z test_batch_vs_slicing_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4514309Z test_batch_vs_slicing_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4514632Z test_batch_vs_slicing_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4514960Z test_batch_vs_slicing_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4515295Z test_batch_vs_slicing_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4515610Z test_batch_vs_slicing_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4515941Z test_batch_vs_slicing_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4516280Z test_batch_vs_slicing_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4516616Z test_batch_vs_slicing_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4516935Z test_batch_vs_slicing_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4517265Z test_batch_vs_slicing_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4517592Z test_batch_vs_slicing_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4517940Z test_batch_vs_slicing_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4518263Z test_batch_vs_slicing_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4518586Z test_batch_vs_slicing_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4518909Z test_batch_vs_slicing_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4519222Z test_batch_vs_slicing_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4519577Z test_batch_vs_slicing_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4519910Z test_batch_vs_slicing_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4520240Z test_batch_vs_slicing_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4520580Z test_batch_vs_slicing_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4520916Z test_batch_vs_slicing_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4521250Z test_batch_vs_slicing_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4521568Z test_batch_vs_slicing_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4521896Z test_batch_vs_slicing_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4522222Z test_batch_vs_slicing_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4522546Z test_batch_vs_slicing_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4522858Z test_batch_vs_slicing_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4523182Z test_batch_vs_slicing_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4523499Z test_batch_vs_slicing_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4523804Z test_batch_vs_slicing_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4524117Z test_batch_vs_slicing_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4524422Z test_batch_vs_slicing_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4524731Z test_batch_vs_slicing_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4525028Z test_batch_vs_slicing_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4525334Z test_batch_vs_slicing_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4525646Z test_batch_vs_slicing_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4525948Z test_batch_vs_slicing_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4526274Z test_batch_vs_slicing_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4526608Z test_batch_vs_slicing_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4527063Z test_batch_vs_slicing_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4527466Z test_batch_vs_slicing_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4527802Z test_batch_vs_slicing_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4528140Z test_batch_vs_slicing_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4528456Z test_batch_vs_slicing_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4528781Z test_batch_vs_slicing_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4529180Z test_batch_vs_slicing_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4529512Z test_batch_vs_slicing_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4529825Z test_batch_vs_slicing_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4530151Z test_batch_vs_slicing_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4530480Z test_batch_vs_slicing_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4530847Z test_batch_vs_slicing_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4531161Z test_batch_vs_slicing_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4531486Z test_batch_vs_slicing_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4531812Z test_batch_vs_slicing_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4532121Z test_batch_vs_slicing_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4532443Z test_batch_vs_slicing_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4532767Z test_batch_vs_slicing_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4533098Z test_batch_vs_slicing_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4533413Z test_batch_vs_slicing_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4533746Z test_batch_vs_slicing_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4534078Z test_batch_vs_slicing_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4534391Z test_batch_vs_slicing_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4534723Z test_batch_vs_slicing_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4535051Z test_batch_vs_slicing_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4535370Z test_batch_vs_slicing_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4535677Z test_batch_vs_slicing_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4536002Z test_batch_vs_slicing_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4536330Z test_batch_vs_slicing_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4536644Z test_batch_vs_slicing_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4536954Z test_batch_vs_slicing_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4537277Z test_batch_vs_slicing_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4537598Z test_batch_vs_slicing_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4537939Z test_batch_vs_slicing_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4538317Z test_batch_vs_slicing_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4538639Z test_batch_vs_slicing_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4538957Z test_batch_vs_slicing_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4539267Z test_batch_vs_slicing_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4539583Z test_batch_vs_slicing_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4539895Z test_batch_vs_slicing_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4540236Z test_batch_vs_slicing_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4540559Z test_batch_vs_slicing_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4540875Z test_batch_vs_slicing_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4541185Z test_batch_vs_slicing_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4541486Z test_batch_vs_slicing_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4541790Z test_batch_vs_slicing_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4542130Z test_batch_vs_slicing_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4542424Z test_batch_vs_slicing_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4542724Z test_batch_vs_slicing_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4543033Z test_batch_vs_slicing_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4543344Z test_batch_vs_slicing_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4543645Z test_batch_vs_slicing_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4543958Z test_batch_vs_slicing_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4544273Z test_batch_vs_slicing_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4544580Z test_batch_vs_slicing_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4544899Z test_batch_vs_slicing_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4545253Z test_batch_vs_slicing_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4545564Z test_batch_vs_slicing_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4545862Z test_batch_vs_slicing_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4546171Z test_batch_vs_slicing_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4546479Z test_batch_vs_slicing_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4546774Z test_batch_vs_slicing_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4547078Z test_batch_vs_slicing_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4547401Z test_batch_vs_slicing_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4547735Z test_batch_vs_slicing_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4548052Z test_batch_vs_slicing_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4548379Z test_batch_vs_slicing_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4548705Z test_batch_vs_slicing_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4549027Z test_batch_vs_slicing_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4549339Z test_batch_vs_slicing_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4549661Z test_batch_vs_slicing_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4549981Z test_batch_vs_slicing_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4550291Z test_batch_vs_slicing_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4550608Z test_batch_vs_slicing_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4550939Z test_batch_vs_slicing_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4551300Z test_batch_vs_slicing_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4551597Z test_batch_vs_slicing_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4551907Z test_batch_vs_slicing_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4552219Z test_batch_vs_slicing_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4552530Z test_batch_vs_slicing_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4552864Z test_batch_vs_slicing_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4553228Z test_batch_vs_slicing_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4553563Z test_batch_vs_slicing_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4553875Z test_batch_vs_slicing_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4554208Z test_batch_vs_slicing_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4554534Z test_batch_vs_slicing_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4554842Z test_batch_vs_slicing_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4555170Z test_batch_vs_slicing_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4555492Z test_batch_vs_slicing_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4555816Z test_batch_vs_slicing_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4556134Z test_batch_vs_slicing_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4556456Z test_batch_vs_slicing_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4556777Z test_batch_vs_slicing_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4557098Z test_batch_vs_slicing_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4557402Z test_batch_vs_slicing_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4557712Z test_batch_vs_slicing_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4558020Z test_batch_vs_slicing_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4558316Z test_batch_vs_slicing_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4558627Z test_batch_vs_slicing_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4558976Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4559354Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4559756Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4560135Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4560509Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4560878Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4561234Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4561604Z test_batch_vs_slicing_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4561980Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4562376Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4562750Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4563126Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4563497Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4563852Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4564249Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4564621Z test_batch_vs_slicing_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4565244Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4565851Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4566468Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4567203Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4567892Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4568501Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4569091Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4569699Z test_batch_vs_slicing_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4570303Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4570910Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4571498Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4572102Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4572700Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4573304Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4573897Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4574486Z test_batch_vs_slicing_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4574979Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4575355Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4575732Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4576133Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4576564Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4576935Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4577304Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4577662Z test_batch_vs_slicing_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4578030Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4578406Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4578780Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4579146Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4579519Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4579886Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4580243Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4580613Z test_batch_vs_slicing_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4580985Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4581358Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4581722Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4582091Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4582463Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4582834Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4583189Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4583551Z test_batch_vs_slicing_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4584109Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4584728Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4585326Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4585969Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4586571Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4587171Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4587804Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4588391Z test_batch_vs_slicing_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4589012Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4589640Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4590249Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4590866Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4591226Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4591592Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4591953Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4592311Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4592684Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4593052Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4593415Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4593767Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4594115Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4594464Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4594829Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4595221Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4595570Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4595943Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4596340Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4596698Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4597060Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4597416Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4597778Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4598144Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4598507Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4598875Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4599231Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4599587Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4599937Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4600296Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4600646Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4601003Z test_batch_vs_slicing_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4601167Z test_batch_vs_slicing_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4601325Z test_batch_vs_slicing_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4601482Z test_batch_vs_slicing_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4601635Z test_batch_vs_slicing_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4601823Z test_batch_vs_slicing_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4601981Z test_batch_vs_slicing_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4602136Z test_batch_vs_slicing_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4602292Z test_batch_vs_slicing_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4602439Z test_batch_vs_slicing_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4602623Z test_batch_vs_slicing_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4602776Z test_batch_vs_slicing_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4602928Z test_batch_vs_slicing_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4603085Z test_batch_vs_slicing_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4603236Z test_batch_vs_slicing_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4603386Z test_batch_vs_slicing_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4603533Z test_batch_vs_slicing_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4603675Z test_batch_vs_slicing_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4603823Z test_batch_vs_slicing_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.4603968Z test_batch_vs_slicing_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4604114Z test_batch_vs_slicing_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4604261Z test_batch_vs_slicing_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4604406Z test_batch_vs_slicing_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4604561Z test_batch_vs_slicing_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4604710Z test_batch_vs_slicing_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4604881Z test_batch_vs_slicing_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4605031Z test_batch_vs_slicing_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4605174Z test_batch_vs_slicing_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4605310Z test_batch_vs_slicing_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4605454Z test_batch_vs_slicing_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4605594Z test_batch_vs_slicing_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4605751Z test_batch_vs_slicing_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4605906Z test_batch_vs_slicing_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4606063Z test_batch_vs_slicing_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4606213Z test_batch_vs_slicing_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4606367Z test_batch_vs_slicing_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4606518Z test_batch_vs_slicing_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4606668Z test_batch_vs_slicing_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4606848Z test_batch_vs_slicing_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4607137Z test_batch_vs_slicing_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4607362Z test_batch_vs_slicing_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4607513Z test_batch_vs_slicing_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4607661Z test_batch_vs_slicing_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4607799Z test_batch_vs_slicing_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4607993Z test_batch_vs_slicing_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4608141Z test_batch_vs_slicing_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4608286Z test_batch_vs_slicing_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4608428Z test_batch_vs_slicing_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4608571Z test_batch_vs_slicing_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4608714Z test_batch_vs_slicing_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4608853Z test_batch_vs_slicing_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4608986Z test_batch_vs_slicing_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4609127Z test_batch_vs_slicing_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4609271Z test_binary_op_mem_overlap_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.668s) 2022-12-01T10:52:10.4609464Z test_binary_op_scalar_device_unspecified_cpu (__main__.TestBinaryUfuncsCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-12-01T10:52:10.4609608Z test_binary_ops_with_scalars_cpu (__main__.TestBinaryUfuncsCPU) ... ok (6.892s) 2022-12-01T10:52:10.4609738Z test_bitwise_ops_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.199s) 2022-12-01T10:52:10.4609868Z test_bitwise_ops_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.108s) 2022-12-01T10:52:10.4610003Z test_bitwise_ops_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.123s) 2022-12-01T10:52:10.4610122Z test_bitwise_ops_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.091s) 2022-12-01T10:52:10.4610256Z test_bitwise_ops_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.104s) 2022-12-01T10:52:10.4610387Z test_bitwise_ops_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.105s) 2022-12-01T10:52:10.4610535Z test_bool_tensor_comparison_ops_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.156s) 2022-12-01T10:52:10.4610933Z test_broadcasting_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _helper_reference_numerics test_binary_ufuncs.py line 118 2022-12-01T10:52:10.4611002Z due to: 2022-12-01T10:52:10.4611092Z Traceback (most recent call last): 2022-12-01T10:52:10.4611259Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:52:10.4611374Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:52:10.4611556Z NotImplementedError: GetAttrVariable(GetAttrVariable(NumpyVariable(), dtype), type) is not a constant 2022-12-01T10:52:10.4611564Z 2022-12-01T10:52:10.4611629Z from user code: 2022-12-01T10:52:10.4611760Z File "test_binary_ufuncs.py", line 122, in _helper_reference_numerics 2022-12-01T10:52:10.4611883Z numpy_to_torch_dtype_dict[expected.dtype.type], dtype 2022-12-01T10:52:10.4611889Z 2022-12-01T10:52:10.4612016Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.4612076Z ========== 2022-12-01T10:52:10.4612141Z ok (0.180s) 2022-12-01T10:52:10.4612278Z test_broadcasting_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4612470Z test_broadcasting_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4612616Z test_broadcasting_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4612763Z test_broadcasting_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4612913Z test_broadcasting_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4613057Z test_broadcasting_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4613230Z test_broadcasting_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4613375Z test_broadcasting_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4613516Z test_broadcasting_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4613647Z test_broadcasting_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4613800Z test_broadcasting_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4613945Z test_broadcasting_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.4614097Z test_broadcasting_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.4614247Z test_broadcasting_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.4614392Z test_broadcasting_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4614533Z test_broadcasting_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4614672Z test_broadcasting_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4614804Z test_broadcasting_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4614944Z test_broadcasting_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4615087Z test_broadcasting_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4615227Z test_broadcasting_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4615376Z test_broadcasting_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.4615527Z test_broadcasting_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4615676Z test_broadcasting_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.4615825Z test_broadcasting_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.4615997Z test_broadcasting_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4616173Z test_broadcasting_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4616367Z test_broadcasting_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4616559Z test_broadcasting_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4616698Z test_broadcasting_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4616837Z test_broadcasting_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4616979Z test_broadcasting_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4617136Z test_broadcasting_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4617287Z test_broadcasting_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4617428Z test_broadcasting_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4617602Z test_broadcasting_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4617748Z test_broadcasting_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4617898Z test_broadcasting_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4618038Z test_broadcasting_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4618175Z test_broadcasting_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4618324Z test_broadcasting_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4618494Z test_broadcasting_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4618634Z test_broadcasting_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4618782Z test_broadcasting_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4618931Z test_broadcasting_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4619078Z test_broadcasting_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4619229Z test_broadcasting_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4619379Z test_broadcasting_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4619519Z test_broadcasting_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4619657Z test_broadcasting_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4619803Z test_broadcasting_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4619936Z test_broadcasting_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4620083Z test_broadcasting_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4620233Z test_broadcasting_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.4620375Z test_broadcasting_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4620513Z test_broadcasting_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.4620872Z test_cdiv_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 2941 2022-12-01T10:52:10.4620936Z due to: 2022-12-01T10:52:10.4621026Z Traceback (most recent call last): 2022-12-01T10:52:10.4621171Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:52:10.4621419Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:52:10.4621632Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:52:10.4621640Z 2022-12-01T10:52:10.4621708Z from user code: 2022-12-01T10:52:10.4621834Z File "test_binary_ufuncs.py", line 2950, in 2022-12-01T10:52:10.4621899Z sm2.storage(), 2022-12-01T10:52:10.4621905Z 2022-12-01T10:52:10.4622038Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.4622099Z ========== 2022-12-01T10:52:10.4622152Z ok (0.054s) 2022-12-01T10:52:10.4622283Z test_cmul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.4622545Z test_comparison_ops_type_promotion_and_broadcasting_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.4622675Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4622824Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.4622947Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4623121Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.4623246Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4623388Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.4623510Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4623650Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.4623768Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4623937Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.4624068Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4624210Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.4624333Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4624476Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.4624602Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4624738Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.4624856Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4624999Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.4625120Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4625265Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.4625386Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4625527Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.4625649Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4625788Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.4625914Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4626061Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.4626185Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4626325Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.4626444Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4626585Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.4626709Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4626847Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.4626975Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4627122Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.4627247Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4627390Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.4627513Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4627652Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.4627778Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4627919Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.4628044Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4628191Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.4628343Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4628488Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.4628612Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4628752Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.4628876Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4628940Z ok (0.343s) 2022-12-01T10:52:10.4629234Z test_comparison_ops_type_promotion_and_broadcasting_cpu_bfloat16_bool (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.4629384Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4629607Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.4629766Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4629915Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.4630029Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4630183Z test_binary_ufuncs.py:3059: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.4630309Z lambda inp: np_fn(inp, y_np, out=out) if out else np_fn(inp, y_np), 2022-12-01T10:52:10.4630374Z ok (0.054s) 2022-12-01T10:52:10.4630562Z test_comparison_ops_type_promotion_and_broadcasting_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4630762Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex128_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4630955Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex128_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4631153Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex128_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4631345Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex128_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.4631524Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4631708Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4631902Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.4632095Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4632279Z test_comparison_ops_type_promotion_and_broadcasting_cpu_complex64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.4632465Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.044s) 2022-12-01T10:52:10.4632647Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4632828Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4633012Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.4633196Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4633375Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.4633562Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.4633781Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.044s) 2022-12-01T10:52:10.4633964Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.4634146Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.4634331Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.4634535Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4634719Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.4634895Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.4635070Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.4635253Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.4635438Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4635628Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.4635817Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4636005Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4636191Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.4636376Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4636555Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4636731Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4636900Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4637079Z test_comparison_ops_type_promotion_and_broadcasting_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4637263Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.4637444Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.4637633Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4637817Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4637998Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4638175Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.4638353Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4638524Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4638738Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.4638917Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.4639104Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4639288Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4639466Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4639668Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.4639843Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4640025Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4640204Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.4640382Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4640564Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4640743Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4640925Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.4641109Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4641292Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.4641475Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4641662Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4641842Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4642017Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4642185Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4642355Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4642531Z test_comparison_ops_type_promotion_and_broadcasting_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.4642711Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4642881Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.4643063Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4643245Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.4643427Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.4643605Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4643802Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4643980Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.4644154Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.4644330Z test_comparison_ops_type_promotion_and_broadcasting_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.4644491Z test_complex_scalar_pow_tensor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.4644676Z test_complex_scalar_pow_tensor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4644833Z test_complex_scalar_pow_tensor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.4644980Z test_complex_scalar_pow_tensor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.4645125Z test_complex_scalar_pow_tensor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4645264Z test_complex_scalar_pow_tensor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4645411Z test_complex_scalar_pow_tensor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4645557Z test_complex_scalar_pow_tensor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4645702Z test_complex_scalar_pow_tensor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4645857Z test_complex_scalar_pow_tensor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4646000Z test_contig_size1___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4646143Z test_contig_size1___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4646289Z test_contig_size1___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4646432Z test_contig_size1___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4646566Z test_contig_size1___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4646706Z test_contig_size1___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4646840Z test_contig_size1___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4647120Z test_contig_size1___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4647363Z test_contig_size1___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4647499Z test_contig_size1___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4647638Z test_contig_size1___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4647773Z test_contig_size1___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4647903Z test_contig_size1___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4648040Z test_contig_size1___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4648176Z test_contig_size1___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4648306Z test_contig_size1___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4648441Z test_contig_size1___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4648578Z test_contig_size1___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4648719Z test_contig_size1___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4648855Z test_contig_size1___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4649049Z test_contig_size1___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4649201Z test_contig_size1___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4649346Z test_contig_size1___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4649488Z test_contig_size1___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4649633Z test_contig_size1___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4649772Z test_contig_size1___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4649944Z test_contig_size1___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4650079Z test_contig_size1___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4650221Z test_contig_size1___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4650351Z test_contig_size1___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4650495Z test_contig_size1___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4650641Z test_contig_size1___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4650787Z test_contig_size1___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4650928Z test_contig_size1___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4651071Z test_contig_size1___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4651210Z test_contig_size1___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4651356Z test_contig_size1___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4651491Z test_contig_size1___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4651634Z test_contig_size1___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4651769Z test_contig_size1___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4651911Z test_contig_size1___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4652050Z test_contig_size1___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4652185Z test_contig_size1___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4652323Z test_contig_size1___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4652464Z test_contig_size1___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4652590Z test_contig_size1___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4652733Z test_contig_size1___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4652870Z test_contig_size1___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4653004Z test_contig_size1___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4653140Z test_contig_size1___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4653275Z test_contig_size1___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4653404Z test_contig_size1___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4654059Z test_contig_size1___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.4654230Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.4654289Z ok (0.002s) 2022-12-01T10:52:10.4654429Z test_contig_size1___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4654572Z test_contig_size1___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4654713Z test_contig_size1___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4654853Z test_contig_size1___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4654987Z test_contig_size1___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4655156Z test_contig_size1___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4655293Z test_contig_size1___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4655426Z test_contig_size1___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4655558Z test_contig_size1___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4655691Z test_contig_size1___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4655834Z test_contig_size1___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4655978Z test_contig_size1___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4656122Z test_contig_size1___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4656267Z test_contig_size1___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4656406Z test_contig_size1___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4656539Z test_contig_size1___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4656667Z test_contig_size1___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4656800Z test_contig_size1___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4656931Z test_contig_size1___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657066Z test_contig_size1___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657197Z test_contig_size1___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657333Z test_contig_size1___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657468Z test_contig_size1___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657601Z test_contig_size1___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657723Z test_contig_size1___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657855Z test_contig_size1___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4657989Z test_contig_size1___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4658131Z test_contig_size1_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4658265Z test_contig_size1_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4658408Z test_contig_size1_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4658550Z test_contig_size1_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4658688Z test_contig_size1_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4658826Z test_contig_size1_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4658958Z test_contig_size1_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4659091Z test_contig_size1_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4659255Z test_contig_size1_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4659393Z test_contig_size1_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4659531Z test_contig_size1_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4659666Z test_contig_size1_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4659802Z test_contig_size1_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4659945Z test_contig_size1_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4660101Z test_contig_size1_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4660242Z test_contig_size1_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4660383Z test_contig_size1_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4660522Z test_contig_size1_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4660658Z test_contig_size1_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4660790Z test_contig_size1_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4660927Z test_contig_size1_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4661061Z test_contig_size1_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4661200Z test_contig_size1_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4661384Z test_contig_size1_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4661527Z test_contig_size1_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4661670Z test_contig_size1_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4661814Z test_contig_size1_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4661961Z test_contig_size1_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4662117Z test_contig_size1_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4662271Z test_contig_size1_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4662427Z test_contig_size1_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4662572Z test_contig_size1_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4662727Z test_contig_size1_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4662875Z test_contig_size1_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4663022Z test_contig_size1_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4663167Z test_contig_size1_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4663311Z test_contig_size1_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4663458Z test_contig_size1_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4663600Z test_contig_size1_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4663750Z test_contig_size1_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4663909Z test_contig_size1_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4664065Z test_contig_size1_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4664221Z test_contig_size1_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4664406Z test_contig_size1_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4664547Z test_contig_size1_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4664695Z test_contig_size1_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4664837Z test_contig_size1_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4664979Z test_contig_size1_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4665135Z test_contig_size1_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4665280Z test_contig_size1_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4665427Z test_contig_size1_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4665571Z test_contig_size1_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4665714Z test_contig_size1_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4665853Z test_contig_size1_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4665990Z test_contig_size1_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4666131Z test_contig_size1_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4666265Z test_contig_size1_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4666406Z test_contig_size1_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4666549Z test_contig_size1_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4666690Z test_contig_size1_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4666837Z test_contig_size1_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4666977Z test_contig_size1_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4667120Z test_contig_size1_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4667264Z test_contig_size1_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4667397Z test_contig_size1_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4667537Z test_contig_size1_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4667682Z test_contig_size1_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4667828Z test_contig_size1_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4667973Z test_contig_size1_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4668117Z test_contig_size1_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4668260Z test_contig_size1_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4668401Z test_contig_size1_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4668538Z test_contig_size1_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4668676Z test_contig_size1_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4668822Z test_contig_size1_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4668966Z test_contig_size1_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4669111Z test_contig_size1_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4669252Z test_contig_size1_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4669458Z test_contig_size1_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4669600Z test_contig_size1_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4669744Z test_contig_size1_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4669879Z test_contig_size1_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4670020Z test_contig_size1_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4670207Z test_contig_size1_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4670367Z test_contig_size1_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4670526Z test_contig_size1_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4670682Z test_contig_size1_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4670835Z test_contig_size1_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4670993Z test_contig_size1_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4671153Z test_contig_size1_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4671297Z test_contig_size1_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4671454Z test_contig_size1_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4671619Z test_contig_size1_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4671777Z test_contig_size1_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4671945Z test_contig_size1_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4672109Z test_contig_size1_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4672268Z test_contig_size1_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4672422Z test_contig_size1_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4672563Z test_contig_size1_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4672717Z test_contig_size1_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4672874Z test_contig_size1_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4673028Z test_contig_size1_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4673187Z test_contig_size1_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4673339Z test_contig_size1_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4673500Z test_contig_size1_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4673655Z test_contig_size1_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4673810Z test_contig_size1_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4673956Z test_contig_size1_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4674112Z test_contig_size1_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4674268Z test_contig_size1_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4674465Z test_contig_size1_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4674622Z test_contig_size1_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4674777Z test_contig_size1_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4674922Z test_contig_size1_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4675059Z test_contig_size1_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4675203Z test_contig_size1_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4675371Z test_contig_size1_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4675510Z test_contig_size1_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4675646Z test_contig_size1_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4675782Z test_contig_size1_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4675917Z test_contig_size1_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4676051Z test_contig_size1_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4676183Z test_contig_size1_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4676318Z test_contig_size1_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4676444Z test_contig_size1_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4676575Z test_contig_size1_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4676725Z test_contig_size1_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4676874Z test_contig_size1_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4677027Z test_contig_size1_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4677177Z test_contig_size1_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4677327Z test_contig_size1_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4677480Z test_contig_size1_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4677620Z test_contig_size1_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4677764Z test_contig_size1_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4677909Z test_contig_size1_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4678056Z test_contig_size1_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4678198Z test_contig_size1_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4678342Z test_contig_size1_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4678511Z test_contig_size1_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.4678659Z test_contig_size1_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4678811Z test_contig_size1_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4678950Z test_contig_size1_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4679102Z test_contig_size1_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4679248Z test_contig_size1_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4679397Z test_contig_size1_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4679571Z test_contig_size1_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4679719Z test_contig_size1_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4679862Z test_contig_size1_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680004Z test_contig_size1_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680137Z test_contig_size1_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680277Z test_contig_size1_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680443Z test_contig_size1_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680580Z test_contig_size1_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680715Z test_contig_size1_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680855Z test_contig_size1_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4680993Z test_contig_size1_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4681126Z test_contig_size1_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4681259Z test_contig_size1_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4681395Z test_contig_size1_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4681535Z test_contig_size1_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4681675Z test_contig_size1_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4681811Z test_contig_size1_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4681947Z test_contig_size1_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4682080Z test_contig_size1_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4682218Z test_contig_size1_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4682350Z test_contig_size1_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4682477Z test_contig_size1_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4682619Z test_contig_size1_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4682763Z test_contig_size1_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4682908Z test_contig_size1_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683051Z test_contig_size1_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683191Z test_contig_size1_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683325Z test_contig_size1_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683461Z test_contig_size1_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683589Z test_contig_size1_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683725Z test_contig_size1_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683861Z test_contig_size1_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4683995Z test_contig_size1_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4684197Z test_contig_size1_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4684361Z test_contig_size1_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4684500Z test_contig_size1_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4684645Z test_contig_size1_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4684807Z test_contig_size1_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4684943Z test_contig_size1_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4685083Z test_contig_size1_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4685223Z test_contig_size1_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4685364Z test_contig_size1_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4685498Z test_contig_size1_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4685657Z test_contig_size1_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4685793Z test_contig_size1_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4685917Z test_contig_size1_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4686058Z test_contig_size1_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4686193Z test_contig_size1_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4686328Z test_contig_size1_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4686463Z test_contig_size1_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4686601Z test_contig_size1_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4686740Z test_contig_size1_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4686879Z test_contig_size1_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4687132Z test_contig_size1_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4687346Z test_contig_size1_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4687490Z test_contig_size1_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4687642Z test_contig_size1_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4687789Z test_contig_size1_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4687934Z test_contig_size1_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4688078Z test_contig_size1_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4688224Z test_contig_size1_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4688368Z test_contig_size1_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4688504Z test_contig_size1_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4688647Z test_contig_size1_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4688796Z test_contig_size1_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4688941Z test_contig_size1_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4689086Z test_contig_size1_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4689229Z test_contig_size1_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4689364Z test_contig_size1_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4689507Z test_contig_size1_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4689640Z test_contig_size1_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4689781Z test_contig_size1_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4689918Z test_contig_size1_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4690115Z test_contig_size1_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4690256Z test_contig_size1_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4690396Z test_contig_size1_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4690539Z test_contig_size1_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4690683Z test_contig_size1_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4690816Z test_contig_size1_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4691002Z test_contig_size1_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4691149Z test_contig_size1_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4691291Z test_contig_size1_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4691434Z test_contig_size1_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4691634Z test_contig_size1_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4691781Z test_contig_size1_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4691919Z test_contig_size1_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4692054Z test_contig_size1_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4692186Z test_contig_size1_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4692364Z test_contig_size1_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4692561Z test_contig_size1_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4692738Z test_contig_size1_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4692925Z test_contig_size1_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4693143Z test_contig_size1_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4693336Z test_contig_size1_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4693513Z test_contig_size1_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4693687Z test_contig_size1_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4693882Z test_contig_size1_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4694070Z test_contig_size1_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4694247Z test_contig_size1_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4694420Z test_contig_size1_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4694616Z test_contig_size1_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4694861Z test_contig_size1_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4695053Z test_contig_size1_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4695245Z test_contig_size1_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4695468Z test_contig_size1_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4695708Z test_contig_size1_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4695888Z test_contig_size1_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4696068Z test_contig_size1_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4696278Z test_contig_size1_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4696468Z test_contig_size1_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4696643Z test_contig_size1_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4696830Z test_contig_size1_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4697017Z test_contig_size1_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4697178Z test_contig_size1_large_dim___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.4697334Z test_contig_size1_large_dim___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4697488Z test_contig_size1_large_dim___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4697648Z test_contig_size1_large_dim___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4697802Z test_contig_size1_large_dim___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4697962Z test_contig_size1_large_dim___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4698119Z test_contig_size1_large_dim___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4698270Z test_contig_size1_large_dim___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4698423Z test_contig_size1_large_dim___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4698571Z test_contig_size1_large_dim___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4698723Z test_contig_size1_large_dim___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4698864Z test_contig_size1_large_dim___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4699011Z test_contig_size1_large_dim___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4699163Z test_contig_size1_large_dim___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4699315Z test_contig_size1_large_dim___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4699460Z test_contig_size1_large_dim___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4699603Z test_contig_size1_large_dim___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4699746Z test_contig_size1_large_dim___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4699900Z test_contig_size1_large_dim___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4700050Z test_contig_size1_large_dim___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4700201Z test_contig_size1_large_dim___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4700357Z test_contig_size1_large_dim___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4700538Z test_contig_size1_large_dim___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4700691Z test_contig_size1_large_dim___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4700843Z test_contig_size1_large_dim___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4700994Z test_contig_size1_large_dim___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4701143Z test_contig_size1_large_dim___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4701319Z test_contig_size1_large_dim___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4701462Z test_contig_size1_large_dim___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4701613Z test_contig_size1_large_dim___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4701768Z test_contig_size1_large_dim___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4701918Z test_contig_size1_large_dim___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4702068Z test_contig_size1_large_dim___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4702215Z test_contig_size1_large_dim___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4702365Z test_contig_size1_large_dim___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4702520Z test_contig_size1_large_dim___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4702682Z test_contig_size1_large_dim___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4702829Z test_contig_size1_large_dim___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4702979Z test_contig_size1_large_dim___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4703124Z test_contig_size1_large_dim___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4703276Z test_contig_size1_large_dim___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4703430Z test_contig_size1_large_dim___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4703579Z test_contig_size1_large_dim___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4703728Z test_contig_size1_large_dim___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4703877Z test_contig_size1_large_dim___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4704025Z test_contig_size1_large_dim___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4704169Z test_contig_size1_large_dim___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4704316Z test_contig_size1_large_dim___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4704466Z test_contig_size1_large_dim___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4704615Z test_contig_size1_large_dim___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4704761Z test_contig_size1_large_dim___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4704909Z test_contig_size1_large_dim___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4705578Z test_contig_size1_large_dim___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.4705743Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.4705807Z ok (0.004s) 2022-12-01T10:52:10.4705959Z test_contig_size1_large_dim___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.4706116Z test_contig_size1_large_dim___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.4706270Z test_contig_size1_large_dim___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4706450Z test_contig_size1_large_dim___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4706603Z test_contig_size1_large_dim___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4706756Z test_contig_size1_large_dim___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4706911Z test_contig_size1_large_dim___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4707061Z test_contig_size1_large_dim___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4707212Z test_contig_size1_large_dim___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4707351Z test_contig_size1_large_dim___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4707506Z test_contig_size1_large_dim___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4707663Z test_contig_size1_large_dim___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4707817Z test_contig_size1_large_dim___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4707971Z test_contig_size1_large_dim___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4708123Z test_contig_size1_large_dim___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4708276Z test_contig_size1_large_dim___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4708425Z test_contig_size1_large_dim___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4708574Z test_contig_size1_large_dim___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4708713Z test_contig_size1_large_dim___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4708865Z test_contig_size1_large_dim___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4709016Z test_contig_size1_large_dim___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4709165Z test_contig_size1_large_dim___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4709314Z test_contig_size1_large_dim___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4709459Z test_contig_size1_large_dim___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4709602Z test_contig_size1_large_dim___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4709750Z test_contig_size1_large_dim___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4709887Z test_contig_size1_large_dim___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4710036Z test_contig_size1_large_dim_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4710185Z test_contig_size1_large_dim_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4710336Z test_contig_size1_large_dim_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4710490Z test_contig_size1_large_dim_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4710686Z test_contig_size1_large_dim_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4710836Z test_contig_size1_large_dim_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4710984Z test_contig_size1_large_dim_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4711132Z test_contig_size1_large_dim_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4711270Z test_contig_size1_large_dim_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4711446Z test_contig_size1_large_dim_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4711592Z test_contig_size1_large_dim_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4711734Z test_contig_size1_large_dim_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4711878Z test_contig_size1_large_dim_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4712031Z test_contig_size1_large_dim_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4712177Z test_contig_size1_large_dim_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4712325Z test_contig_size1_large_dim_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4712467Z test_contig_size1_large_dim_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4712619Z test_contig_size1_large_dim_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4712766Z test_contig_size1_large_dim_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4712909Z test_contig_size1_large_dim_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4713056Z test_contig_size1_large_dim_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4713199Z test_contig_size1_large_dim_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4713358Z test_contig_size1_large_dim_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4713522Z test_contig_size1_large_dim_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4713678Z test_contig_size1_large_dim_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4713828Z test_contig_size1_large_dim_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4713990Z test_contig_size1_large_dim_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4714149Z test_contig_size1_large_dim_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4714312Z test_contig_size1_large_dim_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4714478Z test_contig_size1_large_dim_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4714641Z test_contig_size1_large_dim_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4714807Z test_contig_size1_large_dim_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4714971Z test_contig_size1_large_dim_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4715128Z test_contig_size1_large_dim_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4715273Z test_contig_size1_large_dim_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4715430Z test_contig_size1_large_dim_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4715609Z test_contig_size1_large_dim_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4715765Z test_contig_size1_large_dim_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4715914Z test_contig_size1_large_dim_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4716083Z test_contig_size1_large_dim_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4716249Z test_contig_size1_large_dim_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4716435Z test_contig_size1_large_dim_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4716603Z test_contig_size1_large_dim_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4716755Z test_contig_size1_large_dim_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4716913Z test_contig_size1_large_dim_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4717069Z test_contig_size1_large_dim_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4717221Z test_contig_size1_large_dim_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4717376Z test_contig_size1_large_dim_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4717529Z test_contig_size1_large_dim_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4717686Z test_contig_size1_large_dim_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4717848Z test_contig_size1_large_dim_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4718005Z test_contig_size1_large_dim_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4718155Z test_contig_size1_large_dim_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4718304Z test_contig_size1_large_dim_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4718453Z test_contig_size1_large_dim_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4718607Z test_contig_size1_large_dim_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4718762Z test_contig_size1_large_dim_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4718920Z test_contig_size1_large_dim_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4719077Z test_contig_size1_large_dim_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4719235Z test_contig_size1_large_dim_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4719399Z test_contig_size1_large_dim_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4719543Z test_contig_size1_large_dim_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4719700Z test_contig_size1_large_dim_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4719855Z test_contig_size1_large_dim_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4720005Z test_contig_size1_large_dim_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4720159Z test_contig_size1_large_dim_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4720308Z test_contig_size1_large_dim_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4720460Z test_contig_size1_large_dim_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4720644Z test_contig_size1_large_dim_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4720786Z test_contig_size1_large_dim_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4720941Z test_contig_size1_large_dim_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4721095Z test_contig_size1_large_dim_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4721247Z test_contig_size1_large_dim_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4721433Z test_contig_size1_large_dim_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4721589Z test_contig_size1_large_dim_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4721745Z test_contig_size1_large_dim_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4721905Z test_contig_size1_large_dim_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4722061Z test_contig_size1_large_dim_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4722205Z test_contig_size1_large_dim_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4722354Z test_contig_size1_large_dim_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4722505Z test_contig_size1_large_dim_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4722658Z test_contig_size1_large_dim_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4722810Z test_contig_size1_large_dim_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4722979Z test_contig_size1_large_dim_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4723145Z test_contig_size1_large_dim_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4723313Z test_contig_size1_large_dim_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4723479Z test_contig_size1_large_dim_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4723635Z test_contig_size1_large_dim_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4723802Z test_contig_size1_large_dim_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4723970Z test_contig_size1_large_dim_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4724133Z test_contig_size1_large_dim_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4724292Z test_contig_size1_large_dim_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4724466Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4724631Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4724807Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4724979Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4725139Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4725308Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4725474Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4725668Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4725831Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4725995Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4726165Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4726328Z test_contig_size1_large_dim_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4726525Z test_contig_size1_large_dim_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4726683Z test_contig_size1_large_dim_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4726852Z test_contig_size1_large_dim_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4727176Z test_contig_size1_large_dim_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4727399Z test_contig_size1_large_dim_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4727566Z test_contig_size1_large_dim_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4727728Z test_contig_size1_large_dim_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4727894Z test_contig_size1_large_dim_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4728062Z test_contig_size1_large_dim_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4728212Z test_contig_size1_large_dim_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4728351Z test_contig_size1_large_dim_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4728512Z test_contig_size1_large_dim_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4728667Z test_contig_size1_large_dim_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.4728819Z test_contig_size1_large_dim_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4728971Z test_contig_size1_large_dim_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4729123Z test_contig_size1_large_dim_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4729271Z test_contig_size1_large_dim_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4729416Z test_contig_size1_large_dim_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4729558Z test_contig_size1_large_dim_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4729696Z test_contig_size1_large_dim_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4729846Z test_contig_size1_large_dim_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4729989Z test_contig_size1_large_dim_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4730154Z test_contig_size1_large_dim_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4730309Z test_contig_size1_large_dim_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4730476Z test_contig_size1_large_dim_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.4730645Z test_contig_size1_large_dim_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.4730807Z test_contig_size1_large_dim_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4731010Z test_contig_size1_large_dim_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4731163Z test_contig_size1_large_dim_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4731322Z test_contig_size1_large_dim_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4731474Z test_contig_size1_large_dim_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4731629Z test_contig_size1_large_dim_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4731815Z test_contig_size1_large_dim_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4731979Z test_contig_size1_large_dim_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4732161Z test_contig_size1_large_dim_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.4732330Z test_contig_size1_large_dim_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4732484Z test_contig_size1_large_dim_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4732641Z test_contig_size1_large_dim_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4732801Z test_contig_size1_large_dim_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4732949Z test_contig_size1_large_dim_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4733103Z test_contig_size1_large_dim_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4733258Z test_contig_size1_large_dim_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4733416Z test_contig_size1_large_dim_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4733575Z test_contig_size1_large_dim_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4733726Z test_contig_size1_large_dim_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4733870Z test_contig_size1_large_dim_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4734023Z test_contig_size1_large_dim_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4734174Z test_contig_size1_large_dim_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4734327Z test_contig_size1_large_dim_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4734477Z test_contig_size1_large_dim_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4734626Z test_contig_size1_large_dim_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4734773Z test_contig_size1_large_dim_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4734924Z test_contig_size1_large_dim_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4735073Z test_contig_size1_large_dim_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4735212Z test_contig_size1_large_dim_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4735364Z test_contig_size1_large_dim_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4735511Z test_contig_size1_large_dim_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4735660Z test_contig_size1_large_dim_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4735809Z test_contig_size1_large_dim_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4735951Z test_contig_size1_large_dim_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4736121Z test_contig_size1_large_dim_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4736266Z test_contig_size1_large_dim_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4736406Z test_contig_size1_large_dim_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4736557Z test_contig_size1_large_dim_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4736704Z test_contig_size1_large_dim_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4736877Z test_contig_size1_large_dim_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4737027Z test_contig_size1_large_dim_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4737174Z test_contig_size1_large_dim_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4737326Z test_contig_size1_large_dim_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4737468Z test_contig_size1_large_dim_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4737616Z test_contig_size1_large_dim_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4737755Z test_contig_size1_large_dim_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4737903Z test_contig_size1_large_dim_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4738051Z test_contig_size1_large_dim_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4738200Z test_contig_size1_large_dim_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4738349Z test_contig_size1_large_dim_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4738496Z test_contig_size1_large_dim_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4738653Z test_contig_size1_large_dim_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4738801Z test_contig_size1_large_dim_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4738939Z test_contig_size1_large_dim_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4739085Z test_contig_size1_large_dim_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4739232Z test_contig_size1_large_dim_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4739377Z test_contig_size1_large_dim_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4739521Z test_contig_size1_large_dim_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4739665Z test_contig_size1_large_dim_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4739810Z test_contig_size1_large_dim_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4739957Z test_contig_size1_large_dim_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4740104Z test_contig_size1_large_dim_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4740242Z test_contig_size1_large_dim_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4740387Z test_contig_size1_large_dim_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4740538Z test_contig_size1_large_dim_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4740684Z test_contig_size1_large_dim_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4740830Z test_contig_size1_large_dim_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4740976Z test_contig_size1_large_dim_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4741146Z test_contig_size1_large_dim_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4741293Z test_contig_size1_large_dim_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4741428Z test_contig_size1_large_dim_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4741591Z test_contig_size1_large_dim_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4741745Z test_contig_size1_large_dim_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4741928Z test_contig_size1_large_dim_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4742081Z test_contig_size1_large_dim_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4742237Z test_contig_size1_large_dim_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4742398Z test_contig_size1_large_dim_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4742552Z test_contig_size1_large_dim_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4742709Z test_contig_size1_large_dim_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4742856Z test_contig_size1_large_dim_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4743010Z test_contig_size1_large_dim_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4743163Z test_contig_size1_large_dim_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4743314Z test_contig_size1_large_dim_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4743466Z test_contig_size1_large_dim_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4743622Z test_contig_size1_large_dim_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4743778Z test_contig_size1_large_dim_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4743933Z test_contig_size1_large_dim_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4744086Z test_contig_size1_large_dim_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4744234Z test_contig_size1_large_dim_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4744395Z test_contig_size1_large_dim_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4744553Z test_contig_size1_large_dim_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4744711Z test_contig_size1_large_dim_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4744872Z test_contig_size1_large_dim_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4745025Z test_contig_size1_large_dim_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4745186Z test_contig_size1_large_dim_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4745345Z test_contig_size1_large_dim_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4745488Z test_contig_size1_large_dim_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4745648Z test_contig_size1_large_dim_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4745805Z test_contig_size1_large_dim_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4745958Z test_contig_size1_large_dim_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4746154Z test_contig_size1_large_dim_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4746310Z test_contig_size1_large_dim_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4746465Z test_contig_size1_large_dim_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4746616Z test_contig_size1_large_dim_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4746808Z test_contig_size1_large_dim_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4747054Z test_contig_size1_large_dim_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4747254Z test_contig_size1_large_dim_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4747444Z test_contig_size1_large_dim_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4747636Z test_contig_size1_large_dim_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4747822Z test_contig_size1_large_dim_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4748011Z test_contig_size1_large_dim_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4748196Z test_contig_size1_large_dim_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4748384Z test_contig_size1_large_dim_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4748572Z test_contig_size1_large_dim_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4748760Z test_contig_size1_large_dim_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4748930Z test_contig_size1_large_dim_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4749136Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4749334Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4749543Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4749750Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4749950Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4750152Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4750350Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4750548Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4750748Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4750948Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4751133Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4751361Z test_contig_size1_large_dim_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.4751511Z test_contig_size1_large_dim_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4751660Z test_contig_size1_large_dim_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4751807Z test_contig_size1_large_dim_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4751983Z test_contig_size1_large_dim_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4752130Z test_contig_size1_large_dim_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4752287Z test_contig_size1_large_dim_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4752445Z test_contig_size1_large_dim_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4752594Z test_contig_size1_large_dim_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.4752754Z test_contig_size1_large_dim_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4752913Z test_contig_size1_large_dim_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4753069Z test_contig_size1_large_dim_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4753225Z test_contig_size1_large_dim_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4753381Z test_contig_size1_large_dim_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4753533Z test_contig_size1_large_dim_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4753682Z test_contig_size1_large_dim_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4753825Z test_contig_size1_large_dim_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4753979Z test_contig_size1_large_dim_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4754130Z test_contig_size1_large_dim_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4754280Z test_contig_size1_large_dim_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4754432Z test_contig_size1_large_dim_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4754582Z test_contig_size1_large_dim_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4754734Z test_contig_size1_large_dim_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4754882Z test_contig_size1_large_dim_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4755033Z test_contig_size1_large_dim_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4755168Z test_contig_size1_large_dim_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4755317Z test_contig_size1_large_dim_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4755463Z test_contig_size1_large_dim_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4755628Z test_contig_size1_large_dim_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4755788Z test_contig_size1_large_dim_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4755960Z test_contig_size1_large_dim_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4756126Z test_contig_size1_large_dim_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4756321Z test_contig_size1_large_dim_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4756473Z test_contig_size1_large_dim_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4756633Z test_contig_size1_large_dim_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4756794Z test_contig_size1_large_dim_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4756950Z test_contig_size1_large_dim_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4757140Z test_contig_size1_large_dim_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4757301Z test_contig_size1_large_dim_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4757464Z test_contig_size1_large_dim_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4757631Z test_contig_size1_large_dim_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4757789Z test_contig_size1_large_dim_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4757942Z test_contig_size1_large_dim_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4758107Z test_contig_size1_large_dim_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4758268Z test_contig_size1_large_dim_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4758427Z test_contig_size1_large_dim_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4758585Z test_contig_size1_large_dim_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4758742Z test_contig_size1_large_dim_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4758903Z test_contig_size1_large_dim_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4759061Z test_contig_size1_large_dim_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4759219Z test_contig_size1_large_dim_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4759363Z test_contig_size1_large_dim_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4759528Z test_contig_size1_large_dim_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4759688Z test_contig_size1_large_dim_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4759856Z test_contig_size1_large_dim_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4760023Z test_contig_size1_large_dim_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4760187Z test_contig_size1_large_dim_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4760353Z test_contig_size1_large_dim_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4760512Z test_contig_size1_large_dim_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4760672Z test_contig_size1_large_dim_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4760815Z test_contig_size1_large_dim_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4760970Z test_contig_size1_large_dim_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4761128Z test_contig_size1_large_dim_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4761285Z test_contig_size1_large_dim_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4761475Z test_contig_size1_large_dim_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4761625Z test_contig_size1_large_dim_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4761777Z test_contig_size1_large_dim_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4761928Z test_contig_size1_large_dim_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4762079Z test_contig_size1_large_dim_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4762216Z test_contig_size1_large_dim_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4762388Z test_contig_size1_large_dim_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4762537Z test_contig_size1_large_dim_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4762684Z test_contig_size1_large_dim_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4762834Z test_contig_size1_large_dim_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4763001Z test_contig_size1_large_dim_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4763164Z test_contig_size1_large_dim_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4763325Z test_contig_size1_large_dim_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4763475Z test_contig_size1_large_dim_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4763638Z test_contig_size1_large_dim_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4763796Z test_contig_size1_large_dim_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4763954Z test_contig_size1_large_dim_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4764112Z test_contig_size1_large_dim_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4764270Z test_contig_size1_large_dim_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4764424Z test_contig_size1_large_dim_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4764582Z test_contig_size1_large_dim_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4764738Z test_contig_size1_large_dim_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4764887Z test_contig_size1_large_dim_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4765044Z test_contig_size1_large_dim_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4765201Z test_contig_size1_large_dim_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4765358Z test_contig_size1_large_dim_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4765514Z test_contig_size1_large_dim_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4765668Z test_contig_size1_large_dim_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4765822Z test_contig_size1_large_dim_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4765975Z test_contig_size1_large_dim_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4766142Z test_contig_size1_large_dim_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4766286Z test_contig_size1_large_dim_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4766448Z test_contig_size1_large_dim_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4766638Z test_contig_size1_large_dim_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4766792Z test_contig_size1_large_dim_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4767162Z test_contig_size1_large_dim_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4767401Z test_contig_size1_large_dim_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4767564Z test_contig_size1_large_dim_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4767771Z test_contig_size1_large_dim_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4767916Z test_contig_size1_large_dim_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4768076Z test_contig_size1_large_dim_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4768235Z test_contig_size1_large_dim_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4768395Z test_contig_size1_large_dim_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4768560Z test_contig_size1_large_dim_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4768717Z test_contig_size1_large_dim_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4768874Z test_contig_size1_large_dim_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4769032Z test_contig_size1_large_dim_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4769187Z test_contig_size1_large_dim_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4769327Z test_contig_size1_large_dim_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4769481Z test_contig_size1_large_dim_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4769638Z test_contig_size1_large_dim_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4769789Z test_contig_size1_large_dim_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4769949Z test_contig_size1_large_dim_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4770104Z test_contig_size1_large_dim_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.4770264Z test_contig_size1_large_dim_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4770419Z test_contig_size1_large_dim_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4770574Z test_contig_size1_large_dim_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4770709Z test_contig_size1_large_dim_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4770862Z test_contig_size1_large_dim_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4771013Z test_contig_size1_large_dim_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4771158Z test_contig_size1_large_dim_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4771309Z test_contig_size1_large_dim_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4771462Z test_contig_size1_large_dim_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4771620Z test_contig_size1_large_dim_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4771769Z test_contig_size1_large_dim_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4771913Z test_contig_size1_large_dim_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4772106Z test_contig_size1_large_dim_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4772259Z test_contig_size1_large_dim_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4772411Z test_contig_size1_large_dim_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4772563Z test_contig_size1_large_dim_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4772713Z test_contig_size1_large_dim_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4772862Z test_contig_size1_large_dim_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4773037Z test_contig_size1_large_dim_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4773187Z test_contig_size1_large_dim_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4773324Z test_contig_size1_large_dim_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4773492Z test_contig_size1_large_dim_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4773653Z test_contig_size1_large_dim_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4773808Z test_contig_size1_large_dim_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4773966Z test_contig_size1_large_dim_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4774121Z test_contig_size1_large_dim_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4774278Z test_contig_size1_large_dim_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4774436Z test_contig_size1_large_dim_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.4774578Z test_contig_size1_large_dim_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4774733Z test_contig_size1_large_dim_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4774885Z test_contig_size1_large_dim_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4775034Z test_contig_size1_large_dim_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4775184Z test_contig_size1_large_dim_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4775333Z test_contig_size1_large_dim_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4775487Z test_contig_size1_large_dim_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4775635Z test_contig_size1_large_dim_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4775781Z test_contig_size1_large_dim_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4775936Z test_contig_size1_large_dim_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4776098Z test_contig_size1_large_dim_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4776256Z test_contig_size1_large_dim_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4776410Z test_contig_size1_large_dim_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4776570Z test_contig_size1_large_dim_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4776730Z test_contig_size1_large_dim_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4776889Z test_contig_size1_large_dim_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4777047Z test_contig_size1_large_dim_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4777203Z test_contig_size1_large_dim_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4777378Z test_contig_size1_large_dim_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4777537Z test_contig_size1_large_dim_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4777692Z test_contig_size1_large_dim_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4777845Z test_contig_size1_large_dim_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4777997Z test_contig_size1_large_dim_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4778170Z test_contig_size1_large_dim_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4778324Z test_contig_size1_large_dim_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4778474Z test_contig_size1_large_dim_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4778614Z test_contig_size1_large_dim_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4778764Z test_contig_size1_large_dim_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4778912Z test_contig_size1_large_dim_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4779099Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4779282Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4779465Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4779648Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4779829Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4780004Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4780171Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4780350Z test_contig_size1_large_dim_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4780529Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4780712Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4780889Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4781065Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4781239Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4781411Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4781588Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4781767Z test_contig_size1_large_dim_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4782166Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4782538Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4782959Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4783323Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4783708Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4784079Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4784439Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4784799Z test_contig_size1_large_dim_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4785161Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4785526Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4785883Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4786247Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4786610Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4786964Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4787316Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4787678Z test_contig_size1_large_dim_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4787861Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4788045Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4788221Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4788401Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4788583Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4788762Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4788940Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4789146Z test_contig_size1_large_dim_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4789309Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4789492Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4789674Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4789856Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4790059Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4790240Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4790415Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4790592Z test_contig_size1_large_dim_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4790767Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4790939Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4791122Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4791303Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4791480Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4791657Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4791831Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4792007Z test_contig_size1_large_dim_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4792373Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4792745Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4793106Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4793471Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4793824Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4794182Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4794543Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4794906Z test_contig_size1_large_dim_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4795310Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4795692Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4796072Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4796474Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4796850Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4797228Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4797605Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4797979Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4798354Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4798729Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4799099Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4799472Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4799848Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4800215Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4800592Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4800966Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4801336Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4801714Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4802094Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4802498Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4802867Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4803245Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4803651Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4804025Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4804389Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4804764Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4805144Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4805514Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4805888Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4806266Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4806638Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4807129Z test_contig_size1_large_dim_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4807371Z test_contig_size1_large_dim_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4807542Z test_contig_size1_large_dim_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4807716Z test_contig_size1_large_dim_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4807882Z test_contig_size1_large_dim_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4808040Z test_contig_size1_large_dim_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4808208Z test_contig_size1_large_dim_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4808379Z test_contig_size1_large_dim_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4808544Z test_contig_size1_large_dim_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4808706Z test_contig_size1_large_dim_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4808920Z test_contig_size1_large_dim_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4809084Z test_contig_size1_large_dim_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4809253Z test_contig_size1_large_dim_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4809411Z test_contig_size1_large_dim_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.4809561Z test_contig_size1_large_dim_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4809754Z test_contig_size1_large_dim_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4809908Z test_contig_size1_large_dim_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4810068Z test_contig_size1_large_dim_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.4810231Z test_contig_size1_large_dim_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.4810388Z test_contig_size1_large_dim_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4810551Z test_contig_size1_large_dim_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4810711Z test_contig_size1_large_dim_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.4810871Z test_contig_size1_large_dim_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4811013Z test_contig_size1_large_dim_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.4811166Z test_contig_size1_large_dim_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4811319Z test_contig_size1_large_dim_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4811470Z test_contig_size1_large_dim_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4811622Z test_contig_size1_large_dim_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4811769Z test_contig_size1_large_dim_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4811918Z test_contig_size1_large_dim_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4812063Z test_contig_size1_large_dim_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4812217Z test_contig_size1_large_dim_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4812381Z test_contig_size1_large_dim_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4812552Z test_contig_size1_large_dim_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4812719Z test_contig_size1_large_dim_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4812885Z test_contig_size1_large_dim_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4813042Z test_contig_size1_large_dim_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4813196Z test_contig_size1_large_dim_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4813357Z test_contig_size1_large_dim_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4813518Z test_contig_size1_large_dim_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4813664Z test_contig_size1_large_dim_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4813824Z test_contig_size1_large_dim_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4813985Z test_contig_size1_large_dim_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4814174Z test_contig_size1_large_dim_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4814329Z test_contig_size1_large_dim_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4814483Z test_contig_size1_large_dim_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.4814639Z test_contig_size1_large_dim_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.4814795Z test_contig_size1_large_dim_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.4814974Z test_contig_size1_large_dim_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4815115Z test_contig_size1_large_dim_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4815267Z test_contig_size1_large_dim_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4815421Z test_contig_size1_large_dim_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4815569Z test_contig_size1_large_dim_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.4815709Z test_contig_size1_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4815850Z test_contig_size1_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4815991Z test_contig_size1_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4816130Z test_contig_size1_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4816259Z test_contig_size1_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4816407Z test_contig_size1_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4816551Z test_contig_size1_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4816703Z test_contig_size1_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4816854Z test_contig_size1_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817000Z test_contig_size1_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817142Z test_contig_size1_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817279Z test_contig_size1_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817410Z test_contig_size1_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817552Z test_contig_size1_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817688Z test_contig_size1_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817829Z test_contig_size1_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4817973Z test_contig_size1_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4818115Z test_contig_size1_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4818254Z test_contig_size1_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4818398Z test_contig_size1_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4818537Z test_contig_size1_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4818666Z test_contig_size1_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4818807Z test_contig_size1_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4818948Z test_contig_size1_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4819087Z test_contig_size1_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4819253Z test_contig_size1_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4819389Z test_contig_size1_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4819543Z test_contig_size1_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4819693Z test_contig_size1_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4819838Z test_contig_size1_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4819994Z test_contig_size1_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4820174Z test_contig_size1_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4820328Z test_contig_size1_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4820479Z test_contig_size1_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4820636Z test_contig_size1_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4820788Z test_contig_size1_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4820936Z test_contig_size1_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4821073Z test_contig_size1_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4821220Z test_contig_size1_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4821370Z test_contig_size1_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4821523Z test_contig_size1_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4821677Z test_contig_size1_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4821829Z test_contig_size1_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4821980Z test_contig_size1_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4822128Z test_contig_size1_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4822278Z test_contig_size1_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4822413Z test_contig_size1_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4822559Z test_contig_size1_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4822708Z test_contig_size1_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4822855Z test_contig_size1_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4823003Z test_contig_size1_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4823161Z test_contig_size1_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4823308Z test_contig_size1_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4823464Z test_contig_size1_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4823608Z test_contig_size1_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4823758Z test_contig_size1_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4823907Z test_contig_size1_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4824058Z test_contig_size1_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4824205Z test_contig_size1_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4824351Z test_contig_size1_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4824541Z test_contig_size1_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4824686Z test_contig_size1_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4824835Z test_contig_size1_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4824967Z test_contig_size1_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4825108Z test_contig_size1_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4825253Z test_contig_size1_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4825426Z test_contig_size1_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4825570Z test_contig_size1_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4825710Z test_contig_size1_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4825854Z test_contig_size1_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4825993Z test_contig_size1_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4826118Z test_contig_size1_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4826255Z test_contig_size1_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4826406Z test_contig_size1_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4826554Z test_contig_size1_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4826709Z test_contig_size1_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4826855Z test_contig_size1_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4827002Z test_contig_size1_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4827151Z test_contig_size1_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4827284Z test_contig_size1_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4827433Z test_contig_size1_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4827578Z test_contig_size1_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4827723Z test_contig_size1_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4827871Z test_contig_size1_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4828018Z test_contig_size1_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4828166Z test_contig_size1_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4828310Z test_contig_size1_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4828444Z test_contig_size1_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4828591Z test_contig_size1_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4828732Z test_contig_size1_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4828871Z test_contig_size1_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4829014Z test_contig_size1_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4829159Z test_contig_size1_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4829311Z test_contig_size1_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4829460Z test_contig_size1_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4829610Z test_contig_size1_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4829772Z test_contig_size1_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4829924Z test_contig_size1_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4830070Z test_contig_size1_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4830216Z test_contig_size1_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4830359Z test_contig_size1_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4830532Z test_contig_size1_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4830680Z test_contig_size1_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4830826Z test_contig_size1_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4830960Z test_contig_size1_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4831103Z test_contig_size1_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4831243Z test_contig_size1_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4831387Z test_contig_size1_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4831531Z test_contig_size1_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4831673Z test_contig_size1_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4831819Z test_contig_size1_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4831962Z test_contig_size1_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4832094Z test_contig_size1_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4832235Z test_contig_size1_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4832374Z test_contig_size1_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4832522Z test_contig_size1_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4832666Z test_contig_size1_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4832811Z test_contig_size1_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4832955Z test_contig_size1_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4833096Z test_contig_size1_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4833235Z test_contig_size1_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4833365Z test_contig_size1_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4833504Z test_contig_size1_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4833642Z test_contig_size1_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4833780Z test_contig_size1_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4833919Z test_contig_size1_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4834064Z test_contig_size1_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4834204Z test_contig_size1_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4834350Z test_contig_size1_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4834485Z test_contig_size1_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4834627Z test_contig_size1_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4834766Z test_contig_size1_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4834971Z test_contig_size1_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4835108Z test_contig_size1_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4835246Z test_contig_size1_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4835385Z test_contig_size1_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4835524Z test_contig_size1_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4835647Z test_contig_size1_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4835827Z test_contig_size1_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4835984Z test_contig_size1_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4836136Z test_contig_size1_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4836283Z test_contig_size1_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4836425Z test_contig_size1_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4836577Z test_contig_size1_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4836729Z test_contig_size1_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4836860Z test_contig_size1_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837003Z test_contig_size1_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837148Z test_contig_size1_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837284Z test_contig_size1_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837424Z test_contig_size1_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837566Z test_contig_size1_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837709Z test_contig_size1_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837847Z test_contig_size1_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4837973Z test_contig_size1_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4838128Z test_contig_size1_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4838278Z test_contig_size1_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4838429Z test_contig_size1_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4838573Z test_contig_size1_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4838720Z test_contig_size1_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4838870Z test_contig_size1_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4839016Z test_contig_size1_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4839166Z test_contig_size1_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4839300Z test_contig_size1_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4839444Z test_contig_size1_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4839589Z test_contig_size1_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4839739Z test_contig_size1_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4839882Z test_contig_size1_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4840020Z test_contig_size1_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4840192Z test_contig_size1_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4840334Z test_contig_size1_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4840463Z test_contig_size1_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4840602Z test_contig_size1_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4840742Z test_contig_size1_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4840882Z test_contig_size1_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4841089Z test_contig_size1_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4841267Z test_contig_size1_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4841446Z test_contig_size1_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4841620Z test_contig_size1_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4841792Z test_contig_size1_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4841954Z test_contig_size1_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4842129Z test_contig_size1_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4842302Z test_contig_size1_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4842472Z test_contig_size1_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4842647Z test_contig_size1_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4842820Z test_contig_size1_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4842991Z test_contig_size1_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4843162Z test_contig_size1_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4843329Z test_contig_size1_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4843488Z test_contig_size1_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4843681Z test_contig_size1_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4844071Z test_contig_size1_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4844431Z test_contig_size1_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4844786Z test_contig_size1_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4845134Z test_contig_size1_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4845485Z test_contig_size1_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4845836Z test_contig_size1_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4846218Z test_contig_size1_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4846568Z test_contig_size1_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4846914Z test_contig_size1_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4847512Z test_contig_size1_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4847861Z test_contig_size1_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4848213Z test_contig_size1_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4848556Z test_contig_size1_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4848903Z test_contig_size1_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4849254Z test_contig_size1_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4849602Z test_contig_size1_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4849777Z test_contig_size1_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4849955Z test_contig_size1_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4850133Z test_contig_size1_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4850303Z test_contig_size1_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4850475Z test_contig_size1_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4850634Z test_contig_size1_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4850805Z test_contig_size1_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4850974Z test_contig_size1_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4851150Z test_contig_size1_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4851326Z test_contig_size1_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4851501Z test_contig_size1_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4851670Z test_contig_size1_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4851839Z test_contig_size1_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4852012Z test_contig_size1_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4852168Z test_contig_size1_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4852339Z test_contig_size1_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4852550Z test_contig_size1_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4852722Z test_contig_size1_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4852894Z test_contig_size1_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4853064Z test_contig_size1_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4853260Z test_contig_size1_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4853426Z test_contig_size1_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4853597Z test_contig_size1_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4853753Z test_contig_size1_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4854111Z test_contig_size1_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4854466Z test_contig_size1_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4854820Z test_contig_size1_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4855166Z test_contig_size1_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4855514Z test_contig_size1_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4855858Z test_contig_size1_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4856208Z test_contig_size1_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4856554Z test_contig_size1_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4856917Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4857287Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4857651Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4857999Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4858364Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4858729Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4859088Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4859475Z test_contig_size1_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4859837Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4860203Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4860585Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4860943Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4861305Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4861670Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4862029Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4862383Z test_contig_size1_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4862743Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4863090Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4863456Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4863816Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4864173Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4864527Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4864888Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4865240Z test_contig_size1_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4865601Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4865964Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4866321Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4866714Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4867071Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4867455Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4867802Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4868159Z test_contig_size1_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4868326Z test_contig_size1_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4868484Z test_contig_size1_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4868641Z test_contig_size1_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4868798Z test_contig_size1_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4868956Z test_contig_size1_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4869112Z test_contig_size1_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4869268Z test_contig_size1_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4869410Z test_contig_size1_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4869563Z test_contig_size1_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4869713Z test_contig_size1_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4869864Z test_contig_size1_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4870017Z test_contig_size1_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4870172Z test_contig_size1_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4870324Z test_contig_size1_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4870478Z test_contig_size1_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4870627Z test_contig_size1_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4870768Z test_contig_size1_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4870916Z test_contig_size1_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4871060Z test_contig_size1_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4871208Z test_contig_size1_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4871355Z test_contig_size1_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4871500Z test_contig_size1_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4871645Z test_contig_size1_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4871790Z test_contig_size1_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4871917Z test_contig_size1_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4872087Z test_contig_size1_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4872228Z test_contig_size1_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4872366Z test_contig_size1_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4872505Z test_contig_size1_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4872644Z test_contig_size1_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4872822Z test_contig_size1_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4872976Z test_contig_size1_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4873123Z test_contig_size1_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4873278Z test_contig_size1_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4873431Z test_contig_size1_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4873581Z test_contig_size1_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4873728Z test_contig_size1_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4873878Z test_contig_size1_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4874026Z test_contig_size1_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4874174Z test_contig_size1_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4874321Z test_contig_size1_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4874458Z test_contig_size1_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4874607Z test_contig_size1_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4874751Z test_contig_size1_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4874896Z test_contig_size1_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4875036Z test_contig_size1_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4875223Z test_contig_size1_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4875399Z test_contig_size1_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4875570Z test_contig_size1_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4875695Z test_contig_size1_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4875871Z test_contig_size1_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4876047Z test_contig_size1_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4876249Z test_contig_vs_every_other___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.114s) 2022-12-01T10:52:10.4876532Z test_contig_vs_every_other___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4876685Z test_contig_vs_every_other___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4876875Z test_contig_vs_every_other___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4877086Z test_contig_vs_every_other___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4877266Z test_contig_vs_every_other___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4877443Z test_contig_vs_every_other___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4877658Z test_contig_vs_every_other___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4877831Z test_contig_vs_every_other___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4878002Z test_contig_vs_every_other___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4878144Z test_contig_vs_every_other___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4878339Z test_contig_vs_every_other___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4878514Z test_contig_vs_every_other___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4878711Z test_contig_vs_every_other___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4878882Z test_contig_vs_every_other___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4879062Z test_contig_vs_every_other___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4879234Z test_contig_vs_every_other___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4879403Z test_contig_vs_every_other___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4879593Z test_contig_vs_every_other___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4879734Z test_contig_vs_every_other___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4879939Z test_contig_vs_every_other___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4880152Z test_contig_vs_every_other___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4880330Z test_contig_vs_every_other___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4880513Z test_contig_vs_every_other___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4880693Z test_contig_vs_every_other___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4880867Z test_contig_vs_every_other___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4881036Z test_contig_vs_every_other___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4881208Z test_contig_vs_every_other___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4881347Z test_contig_vs_every_other___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4881539Z test_contig_vs_every_other___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4881716Z test_contig_vs_every_other___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4881901Z test_contig_vs_every_other___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4882079Z test_contig_vs_every_other___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4882255Z test_contig_vs_every_other___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4882430Z test_contig_vs_every_other___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4882602Z test_contig_vs_every_other___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4882751Z test_contig_vs_every_other___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4882931Z test_contig_vs_every_other___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4883146Z test_contig_vs_every_other___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4883329Z test_contig_vs_every_other___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4883531Z test_contig_vs_every_other___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4883705Z test_contig_vs_every_other___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4883877Z test_contig_vs_every_other___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4884048Z test_contig_vs_every_other___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4884218Z test_contig_vs_every_other___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4884381Z test_contig_vs_every_other___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4884565Z test_contig_vs_every_other___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4884760Z test_contig_vs_every_other___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4884937Z test_contig_vs_every_other___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4885109Z test_contig_vs_every_other___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4885281Z test_contig_vs_every_other___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4885446Z test_contig_vs_every_other___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4886110Z test_contig_vs_every_other___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.4886277Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.4886332Z ok (0.002s) 2022-12-01T10:52:10.4886541Z test_contig_vs_every_other___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4886749Z test_contig_vs_every_other___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4886926Z test_contig_vs_every_other___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4887216Z test_contig_vs_every_other___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4887465Z test_contig_vs_every_other___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4887643Z test_contig_vs_every_other___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4887827Z test_contig_vs_every_other___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4888001Z test_contig_vs_every_other___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4888142Z test_contig_vs_every_other___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4888312Z test_contig_vs_every_other___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4888515Z test_contig_vs_every_other___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4888698Z test_contig_vs_every_other___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4888881Z test_contig_vs_every_other___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4889058Z test_contig_vs_every_other___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4889243Z test_contig_vs_every_other___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4889420Z test_contig_vs_every_other___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4889616Z test_contig_vs_every_other___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4889803Z test_contig_vs_every_other___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4889976Z test_contig_vs_every_other___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4890169Z test_contig_vs_every_other___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4890339Z test_contig_vs_every_other___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4890520Z test_contig_vs_every_other___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4890720Z test_contig_vs_every_other___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4890890Z test_contig_vs_every_other___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4891061Z test_contig_vs_every_other___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4891202Z test_contig_vs_every_other___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4891374Z test_contig_vs_every_other___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4891549Z test_contig_vs_every_other_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4891741Z test_contig_vs_every_other_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4891927Z test_contig_vs_every_other_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4892103Z test_contig_vs_every_other_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4892277Z test_contig_vs_every_other_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4892452Z test_contig_vs_every_other_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4892653Z test_contig_vs_every_other_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4892797Z test_contig_vs_every_other_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4892968Z test_contig_vs_every_other_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4893138Z test_contig_vs_every_other_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4893332Z test_contig_vs_every_other_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4893503Z test_contig_vs_every_other_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4893676Z test_contig_vs_every_other_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4893851Z test_contig_vs_every_other_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4894024Z test_contig_vs_every_other_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4894166Z test_contig_vs_every_other_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4894341Z test_contig_vs_every_other_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4894513Z test_contig_vs_every_other_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4894689Z test_contig_vs_every_other_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4894876Z test_contig_vs_every_other_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4895049Z test_contig_vs_every_other_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4895220Z test_contig_vs_every_other_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4895401Z test_contig_vs_every_other_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4895633Z test_contig_vs_every_other_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4895780Z test_contig_vs_every_other_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4895970Z test_contig_vs_every_other_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4896151Z test_contig_vs_every_other_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4896328Z test_contig_vs_every_other_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4896563Z test_contig_vs_every_other_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4896755Z test_contig_vs_every_other_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4896943Z test_contig_vs_every_other_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4897131Z test_contig_vs_every_other_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4897325Z test_contig_vs_every_other_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4897472Z test_contig_vs_every_other_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4897650Z test_contig_vs_every_other_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4897829Z test_contig_vs_every_other_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4898009Z test_contig_vs_every_other_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4898207Z test_contig_vs_every_other_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4898384Z test_contig_vs_every_other_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4898576Z test_contig_vs_every_other_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4898797Z test_contig_vs_every_other_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4898980Z test_contig_vs_every_other_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4899135Z test_contig_vs_every_other_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4899324Z test_contig_vs_every_other_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4899504Z test_contig_vs_every_other_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4899687Z test_contig_vs_every_other_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4899884Z test_contig_vs_every_other_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4900068Z test_contig_vs_every_other_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4900254Z test_contig_vs_every_other_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4900432Z test_contig_vs_every_other_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4900584Z test_contig_vs_every_other_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4900762Z test_contig_vs_every_other_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4900945Z test_contig_vs_every_other_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4901122Z test_contig_vs_every_other_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4901302Z test_contig_vs_every_other_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4901535Z test_contig_vs_every_other_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4901712Z test_contig_vs_every_other_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4902038Z test_contig_vs_every_other_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4902215Z test_contig_vs_every_other_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4902360Z test_contig_vs_every_other_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4902573Z test_contig_vs_every_other_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4902756Z test_contig_vs_every_other_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4902938Z test_contig_vs_every_other_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4903128Z test_contig_vs_every_other_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4903332Z test_contig_vs_every_other_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4903510Z test_contig_vs_every_other_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4903689Z test_contig_vs_every_other_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4903864Z test_contig_vs_every_other_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4904007Z test_contig_vs_every_other_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4904193Z test_contig_vs_every_other_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4904370Z test_contig_vs_every_other_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4904552Z test_contig_vs_every_other_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4904727Z test_contig_vs_every_other_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4904932Z test_contig_vs_every_other_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4905136Z test_contig_vs_every_other_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4905314Z test_contig_vs_every_other_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4905462Z test_contig_vs_every_other_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4905647Z test_contig_vs_every_other_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4905828Z test_contig_vs_every_other_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4906015Z test_contig_vs_every_other_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4906197Z test_contig_vs_every_other_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4906376Z test_contig_vs_every_other_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4906573Z test_contig_vs_every_other_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4906769Z test_contig_vs_every_other_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4906965Z test_contig_vs_every_other_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4907125Z test_contig_vs_every_other_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4907316Z test_contig_vs_every_other_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4907512Z test_contig_vs_every_other_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4907732Z test_contig_vs_every_other_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4907918Z test_contig_vs_every_other_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4908104Z test_contig_vs_every_other_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4908340Z test_contig_vs_every_other_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4908559Z test_contig_vs_every_other_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4908761Z test_contig_vs_every_other_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4908927Z test_contig_vs_every_other_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4909130Z test_contig_vs_every_other_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4909326Z test_contig_vs_every_other_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4909518Z test_contig_vs_every_other_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4909709Z test_contig_vs_every_other_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4909901Z test_contig_vs_every_other_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4910112Z test_contig_vs_every_other_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4910311Z test_contig_vs_every_other_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4910501Z test_contig_vs_every_other_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4910658Z test_contig_vs_every_other_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4914868Z test_contig_vs_every_other_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4928239Z test_contig_vs_every_other_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4928447Z test_contig_vs_every_other_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4928626Z test_contig_vs_every_other_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4928798Z test_contig_vs_every_other_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4928968Z test_contig_vs_every_other_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4929138Z test_contig_vs_every_other_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4929309Z test_contig_vs_every_other_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4929476Z test_contig_vs_every_other_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4929618Z test_contig_vs_every_other_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4929768Z test_contig_vs_every_other_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4929925Z test_contig_vs_every_other_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4930078Z test_contig_vs_every_other_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4930232Z test_contig_vs_every_other_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4930502Z test_contig_vs_every_other_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4930654Z test_contig_vs_every_other_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4930799Z test_contig_vs_every_other_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4930937Z test_contig_vs_every_other_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4931087Z test_contig_vs_every_other_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4931230Z test_contig_vs_every_other_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4931413Z test_contig_vs_every_other_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4931562Z test_contig_vs_every_other_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4931730Z test_contig_vs_every_other_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4931893Z test_contig_vs_every_other_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4932059Z test_contig_vs_every_other_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4932225Z test_contig_vs_every_other_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4932374Z test_contig_vs_every_other_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4932530Z test_contig_vs_every_other_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4932685Z test_contig_vs_every_other_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4932842Z test_contig_vs_every_other_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4932998Z test_contig_vs_every_other_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4933158Z test_contig_vs_every_other_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4933313Z test_contig_vs_every_other_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4933469Z test_contig_vs_every_other_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4933655Z test_contig_vs_every_other_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.4933807Z test_contig_vs_every_other_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4933968Z test_contig_vs_every_other_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4934129Z test_contig_vs_every_other_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4934289Z test_contig_vs_every_other_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4934448Z test_contig_vs_every_other_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4934601Z test_contig_vs_every_other_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4934757Z test_contig_vs_every_other_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4934918Z test_contig_vs_every_other_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4935074Z test_contig_vs_every_other_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4935217Z test_contig_vs_every_other_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4935371Z test_contig_vs_every_other_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4935521Z test_contig_vs_every_other_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4935696Z test_contig_vs_every_other_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4935846Z test_contig_vs_every_other_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4935995Z test_contig_vs_every_other_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4936141Z test_contig_vs_every_other_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4936286Z test_contig_vs_every_other_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4936461Z test_contig_vs_every_other_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4936615Z test_contig_vs_every_other_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4936759Z test_contig_vs_every_other_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4936912Z test_contig_vs_every_other_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4937061Z test_contig_vs_every_other_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4937207Z test_contig_vs_every_other_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4937353Z test_contig_vs_every_other_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4937498Z test_contig_vs_every_other_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4937638Z test_contig_vs_every_other_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4937773Z test_contig_vs_every_other_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4937919Z test_contig_vs_every_other_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4938092Z test_contig_vs_every_other_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.4938244Z test_contig_vs_every_other_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4938393Z test_contig_vs_every_other_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4938537Z test_contig_vs_every_other_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4938684Z test_contig_vs_every_other_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4938830Z test_contig_vs_every_other_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4938966Z test_contig_vs_every_other_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4939114Z test_contig_vs_every_other_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4939261Z test_contig_vs_every_other_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4939411Z test_contig_vs_every_other_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4939555Z test_contig_vs_every_other_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4939700Z test_contig_vs_every_other_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4939849Z test_contig_vs_every_other_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4939998Z test_contig_vs_every_other_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4940151Z test_contig_vs_every_other_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4940289Z test_contig_vs_every_other_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4940439Z test_contig_vs_every_other_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4940585Z test_contig_vs_every_other_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4940780Z test_contig_vs_every_other_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4940925Z test_contig_vs_every_other_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4941068Z test_contig_vs_every_other_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4941215Z test_contig_vs_every_other_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4941364Z test_contig_vs_every_other_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4941523Z test_contig_vs_every_other_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4941677Z test_contig_vs_every_other_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4941822Z test_contig_vs_every_other_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4941974Z test_contig_vs_every_other_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4942122Z test_contig_vs_every_other_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4942266Z test_contig_vs_every_other_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4942411Z test_contig_vs_every_other_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4942553Z test_contig_vs_every_other_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4942697Z test_contig_vs_every_other_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4942834Z test_contig_vs_every_other_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4942980Z test_contig_vs_every_other_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4943146Z test_contig_vs_every_other_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4943308Z test_contig_vs_every_other_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4943470Z test_contig_vs_every_other_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4943628Z test_contig_vs_every_other_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4943784Z test_contig_vs_every_other_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4943941Z test_contig_vs_every_other_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4944088Z test_contig_vs_every_other_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4944246Z test_contig_vs_every_other_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4944398Z test_contig_vs_every_other_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4944558Z test_contig_vs_every_other_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4944712Z test_contig_vs_every_other_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4944864Z test_contig_vs_every_other_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4945016Z test_contig_vs_every_other_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4945172Z test_contig_vs_every_other_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4945329Z test_contig_vs_every_other_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4945470Z test_contig_vs_every_other_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4945622Z test_contig_vs_every_other_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4945809Z test_contig_vs_every_other_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4945965Z test_contig_vs_every_other_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4946120Z test_contig_vs_every_other_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4946272Z test_contig_vs_every_other_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4946430Z test_contig_vs_every_other_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4946582Z test_contig_vs_every_other_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4946770Z test_contig_vs_every_other_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4946920Z test_contig_vs_every_other_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4947076Z test_contig_vs_every_other_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4947231Z test_contig_vs_every_other_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4947386Z test_contig_vs_every_other_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4947538Z test_contig_vs_every_other_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4947690Z test_contig_vs_every_other_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4947837Z test_contig_vs_every_other_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4947990Z test_contig_vs_every_other_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4948133Z test_contig_vs_every_other_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4948326Z test_contig_vs_every_other_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4948516Z test_contig_vs_every_other_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4948711Z test_contig_vs_every_other_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4948902Z test_contig_vs_every_other_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4949089Z test_contig_vs_every_other_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4949277Z test_contig_vs_every_other_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4949458Z test_contig_vs_every_other_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4949643Z test_contig_vs_every_other_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4949828Z test_contig_vs_every_other_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4949995Z test_contig_vs_every_other_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4950178Z test_contig_vs_every_other_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4950362Z test_contig_vs_every_other_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4950566Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4950764Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4950993Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4951194Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4951393Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4951590Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4951812Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4952012Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4952196Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4952393Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4952587Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4952780Z test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.4952931Z test_contig_vs_every_other_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4953079Z test_contig_vs_every_other_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4953225Z test_contig_vs_every_other_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4953376Z test_contig_vs_every_other_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4953522Z test_contig_vs_every_other_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4953667Z test_contig_vs_every_other_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4953817Z test_contig_vs_every_other_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4953977Z test_contig_vs_every_other_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4954136Z test_contig_vs_every_other_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4954290Z test_contig_vs_every_other_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4954444Z test_contig_vs_every_other_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4954593Z test_contig_vs_every_other_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4954747Z test_contig_vs_every_other_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4954888Z test_contig_vs_every_other_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4955037Z test_contig_vs_every_other_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4955187Z test_contig_vs_every_other_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4955333Z test_contig_vs_every_other_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4955483Z test_contig_vs_every_other_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4955630Z test_contig_vs_every_other_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4955779Z test_contig_vs_every_other_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4955956Z test_contig_vs_every_other_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4956104Z test_contig_vs_every_other_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4956240Z test_contig_vs_every_other_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4956387Z test_contig_vs_every_other_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4956529Z test_contig_vs_every_other_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4956697Z test_contig_vs_every_other_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4956846Z test_contig_vs_every_other_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4957012Z test_contig_vs_every_other_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4957174Z test_contig_vs_every_other_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4957341Z test_contig_vs_every_other_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4957507Z test_contig_vs_every_other_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4957660Z test_contig_vs_every_other_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4957817Z test_contig_vs_every_other_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4957973Z test_contig_vs_every_other_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4958132Z test_contig_vs_every_other_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4958289Z test_contig_vs_every_other_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4958449Z test_contig_vs_every_other_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4958605Z test_contig_vs_every_other_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4958760Z test_contig_vs_every_other_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4958914Z test_contig_vs_every_other_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4959073Z test_contig_vs_every_other_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4959238Z test_contig_vs_every_other_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4959400Z test_contig_vs_every_other_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4959557Z test_contig_vs_every_other_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4959716Z test_contig_vs_every_other_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4959871Z test_contig_vs_every_other_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4960031Z test_contig_vs_every_other_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4960188Z test_contig_vs_every_other_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4960333Z test_contig_vs_every_other_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4960490Z test_contig_vs_every_other_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4960644Z test_contig_vs_every_other_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4960807Z test_contig_vs_every_other_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4960987Z test_contig_vs_every_other_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4961154Z test_contig_vs_every_other_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4961317Z test_contig_vs_every_other_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4961476Z test_contig_vs_every_other_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4961630Z test_contig_vs_every_other_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4961796Z test_contig_vs_every_other_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4961954Z test_contig_vs_every_other_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4962109Z test_contig_vs_every_other_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4962268Z test_contig_vs_every_other_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4962424Z test_contig_vs_every_other_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4962580Z test_contig_vs_every_other_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4962730Z test_contig_vs_every_other_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4962877Z test_contig_vs_every_other_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4963027Z test_contig_vs_every_other_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4963167Z test_contig_vs_every_other_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4963312Z test_contig_vs_every_other_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4963459Z test_contig_vs_every_other_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4963602Z test_contig_vs_every_other_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4963748Z test_contig_vs_every_other_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4963894Z test_contig_vs_every_other_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4964037Z test_contig_vs_every_other_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4964196Z test_contig_vs_every_other_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4964343Z test_contig_vs_every_other_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4964504Z test_contig_vs_every_other_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4964663Z test_contig_vs_every_other_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4964817Z test_contig_vs_every_other_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4964973Z test_contig_vs_every_other_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4965128Z test_contig_vs_every_other_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4965283Z test_contig_vs_every_other_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4965437Z test_contig_vs_every_other_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4965593Z test_contig_vs_every_other_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4965735Z test_contig_vs_every_other_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4965891Z test_contig_vs_every_other_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4966074Z test_contig_vs_every_other_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4966230Z test_contig_vs_every_other_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4966381Z test_contig_vs_every_other_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4966536Z test_contig_vs_every_other_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4966688Z test_contig_vs_every_other_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4966862Z test_contig_vs_every_other_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4967179Z test_contig_vs_every_other_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4967402Z test_contig_vs_every_other_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4967570Z test_contig_vs_every_other_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4967724Z test_contig_vs_every_other_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4967884Z test_contig_vs_every_other_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4968042Z test_contig_vs_every_other_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4968195Z test_contig_vs_every_other_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4968353Z test_contig_vs_every_other_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4968510Z test_contig_vs_every_other_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4968650Z test_contig_vs_every_other_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4968803Z test_contig_vs_every_other_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4968961Z test_contig_vs_every_other_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4969116Z test_contig_vs_every_other_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4969269Z test_contig_vs_every_other_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4969423Z test_contig_vs_every_other_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4969577Z test_contig_vs_every_other_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4969731Z test_contig_vs_every_other_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4969884Z test_contig_vs_every_other_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4970026Z test_contig_vs_every_other_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4970179Z test_contig_vs_every_other_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4970326Z test_contig_vs_every_other_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4970474Z test_contig_vs_every_other_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4970619Z test_contig_vs_every_other_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4970767Z test_contig_vs_every_other_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4970925Z test_contig_vs_every_other_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4971078Z test_contig_vs_every_other_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4971218Z test_contig_vs_every_other_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4971422Z test_contig_vs_every_other_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4971573Z test_contig_vs_every_other_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4971723Z test_contig_vs_every_other_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4971870Z test_contig_vs_every_other_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4972017Z test_contig_vs_every_other_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4972164Z test_contig_vs_every_other_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4972355Z test_contig_vs_every_other_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4972507Z test_contig_vs_every_other_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4972644Z test_contig_vs_every_other_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4972792Z test_contig_vs_every_other_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4972945Z test_contig_vs_every_other_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4973097Z test_contig_vs_every_other_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4973246Z test_contig_vs_every_other_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4973395Z test_contig_vs_every_other_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4973541Z test_contig_vs_every_other_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4973687Z test_contig_vs_every_other_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4973817Z test_contig_vs_every_other_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4973967Z test_contig_vs_every_other_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4974112Z test_contig_vs_every_other_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4974258Z test_contig_vs_every_other_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4974419Z test_contig_vs_every_other_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4974578Z test_contig_vs_every_other_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4974737Z test_contig_vs_every_other_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4974892Z test_contig_vs_every_other_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4975045Z test_contig_vs_every_other_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4975186Z test_contig_vs_every_other_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4975345Z test_contig_vs_every_other_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4975498Z test_contig_vs_every_other_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4975649Z test_contig_vs_every_other_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4975800Z test_contig_vs_every_other_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4975946Z test_contig_vs_every_other_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4976096Z test_contig_vs_every_other_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4976245Z test_contig_vs_every_other_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4976379Z test_contig_vs_every_other_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4976556Z test_contig_vs_every_other_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4976700Z test_contig_vs_every_other_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4976880Z test_contig_vs_every_other_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.4977044Z test_contig_vs_every_other_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4977204Z test_contig_vs_every_other_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4977386Z test_contig_vs_every_other_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4977543Z test_contig_vs_every_other_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4977701Z test_contig_vs_every_other_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4977848Z test_contig_vs_every_other_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4978003Z test_contig_vs_every_other_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4978158Z test_contig_vs_every_other_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4978311Z test_contig_vs_every_other_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4978465Z test_contig_vs_every_other_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4978622Z test_contig_vs_every_other_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4978774Z test_contig_vs_every_other_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4978925Z test_contig_vs_every_other_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4979074Z test_contig_vs_every_other_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4979213Z test_contig_vs_every_other_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4979362Z test_contig_vs_every_other_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4979505Z test_contig_vs_every_other_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4979651Z test_contig_vs_every_other_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4979799Z test_contig_vs_every_other_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.4979985Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4980172Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4980358Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4980543Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4980713Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4980888Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4981065Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4981241Z test_contig_vs_every_other_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4981421Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4981604Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4981811Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4981993Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4982168Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4982327Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4982530Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4982708Z test_contig_vs_every_other_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4983122Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4983500Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4983863Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4984227Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4984580Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4984933Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4985290Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4985657Z test_contig_vs_every_other_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4986013Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4986367Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4986728Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4987090Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4987448Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4987806Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4988160Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4988544Z test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4988725Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4988905Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4989080Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4989283Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4989459Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4989620Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4989797Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4989974Z test_contig_vs_every_other_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4990147Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4990326Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4990502Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4990682Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4990854Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4991027Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4991193Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4991371Z test_contig_vs_every_other_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4991551Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4991733Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4991909Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4992091Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4992270Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4992440Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4992615Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4992794Z test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.4993152Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4993520Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4993912Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4994267Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4994625Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4995017Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4995377Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4995734Z test_contig_vs_every_other_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4996108Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4996488Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4996866Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4997239Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4997616Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4997976Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4998348Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4998723Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4999098Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4999474Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.4999849Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5000220Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5000595Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5000991Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5001361Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5001728Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5002127Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5002503Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5002878Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5003236Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5003603Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5003979Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5004350Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5004719Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5005089Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5005467Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5005842Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5006210Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5006585Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5007068Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5007524Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5007900Z test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5008121Z test_contig_vs_every_other_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5008278Z test_contig_vs_every_other_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5008447Z test_contig_vs_every_other_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5008614Z test_contig_vs_every_other_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5008781Z test_contig_vs_every_other_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5008975Z test_contig_vs_every_other_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5009141Z test_contig_vs_every_other_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5009301Z test_contig_vs_every_other_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5009469Z test_contig_vs_every_other_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5009629Z test_contig_vs_every_other_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5009779Z test_contig_vs_every_other_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5009946Z test_contig_vs_every_other_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5010104Z test_contig_vs_every_other_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5010267Z test_contig_vs_every_other_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5010423Z test_contig_vs_every_other_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5010578Z test_contig_vs_every_other_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5010739Z test_contig_vs_every_other_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5010900Z test_contig_vs_every_other_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5011053Z test_contig_vs_every_other_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5011199Z test_contig_vs_every_other_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5011352Z test_contig_vs_every_other_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5011506Z test_contig_vs_every_other_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5011659Z test_contig_vs_every_other_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5011810Z test_contig_vs_every_other_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5011959Z test_contig_vs_every_other_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5012106Z test_contig_vs_every_other_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5012248Z test_contig_vs_every_other_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5012384Z test_contig_vs_every_other_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5012532Z test_contig_vs_every_other_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5012679Z test_contig_vs_every_other_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5012845Z test_contig_vs_every_other_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5013005Z test_contig_vs_every_other_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5013173Z test_contig_vs_every_other_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5013365Z test_contig_vs_every_other_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5013524Z test_contig_vs_every_other_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5013680Z test_contig_vs_every_other_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5013830Z test_contig_vs_every_other_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5013986Z test_contig_vs_every_other_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5014176Z test_contig_vs_every_other_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5014336Z test_contig_vs_every_other_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5014497Z test_contig_vs_every_other_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5014650Z test_contig_vs_every_other_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5014807Z test_contig_vs_every_other_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5014959Z test_contig_vs_every_other_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5015111Z test_contig_vs_every_other_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5015253Z test_contig_vs_every_other_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5015408Z test_contig_vs_every_other_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5015559Z test_contig_vs_every_other_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5015709Z test_contig_vs_every_other_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5015857Z test_contig_vs_every_other_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5016004Z test_contig_vs_every_other_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5016155Z test_contig_vs_every_other_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5016314Z test_contig_vs_transposed___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.132s) 2022-12-01T10:52:10.5016458Z test_contig_vs_transposed___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5016623Z test_contig_vs_transposed___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5016782Z test_contig_vs_transposed___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5016940Z test_contig_vs_transposed___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5017099Z test_contig_vs_transposed___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5017254Z test_contig_vs_transposed___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5017408Z test_contig_vs_transposed___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5017561Z test_contig_vs_transposed___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5017715Z test_contig_vs_transposed___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5017858Z test_contig_vs_transposed___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5018008Z test_contig_vs_transposed___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5018157Z test_contig_vs_transposed___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5018307Z test_contig_vs_transposed___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5018483Z test_contig_vs_transposed___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5018629Z test_contig_vs_transposed___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5018782Z test_contig_vs_transposed___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5018929Z test_contig_vs_transposed___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5019086Z test_contig_vs_transposed___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5019251Z test_contig_vs_transposed___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5019413Z test_contig_vs_transposed___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5019571Z test_contig_vs_transposed___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5019730Z test_contig_vs_transposed___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5019885Z test_contig_vs_transposed___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5020040Z test_contig_vs_transposed___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5020191Z test_contig_vs_transposed___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5020343Z test_contig_vs_transposed___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5020481Z test_contig_vs_transposed___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5020633Z test_contig_vs_transposed___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5020782Z test_contig_vs_transposed___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5020939Z test_contig_vs_transposed___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5021093Z test_contig_vs_transposed___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5021249Z test_contig_vs_transposed___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5021402Z test_contig_vs_transposed___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5021556Z test_contig_vs_transposed___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5021708Z test_contig_vs_transposed___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5021856Z test_contig_vs_transposed___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5022013Z test_contig_vs_transposed___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5022167Z test_contig_vs_transposed___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5022323Z test_contig_vs_transposed___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5022476Z test_contig_vs_transposed___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5022626Z test_contig_vs_transposed___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5022777Z test_contig_vs_transposed___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5022930Z test_contig_vs_transposed___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5023080Z test_contig_vs_transposed___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5023217Z test_contig_vs_transposed___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5023368Z test_contig_vs_transposed___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5023544Z test_contig_vs_transposed___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5023698Z test_contig_vs_transposed___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5023848Z test_contig_vs_transposed___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5023999Z test_contig_vs_transposed___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5024148Z test_contig_vs_transposed___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5024843Z test_contig_vs_transposed___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.5024987Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.5025042Z ok (0.010s) 2022-12-01T10:52:10.5025204Z test_contig_vs_transposed___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.5025364Z test_contig_vs_transposed___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5025522Z test_contig_vs_transposed___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5025677Z test_contig_vs_transposed___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5025834Z test_contig_vs_transposed___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5025986Z test_contig_vs_transposed___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5026139Z test_contig_vs_transposed___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5026278Z test_contig_vs_transposed___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5026428Z test_contig_vs_transposed___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5026578Z test_contig_vs_transposed___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5026734Z test_contig_vs_transposed___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5026894Z test_contig_vs_transposed___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5027056Z test_contig_vs_transposed___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5027211Z test_contig_vs_transposed___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5027366Z test_contig_vs_transposed___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5027521Z test_contig_vs_transposed___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5027661Z test_contig_vs_transposed___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5027813Z test_contig_vs_transposed___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5027960Z test_contig_vs_transposed___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5028112Z test_contig_vs_transposed___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5028266Z test_contig_vs_transposed___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5028414Z test_contig_vs_transposed___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5028563Z test_contig_vs_transposed___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5028738Z test_contig_vs_transposed___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5028887Z test_contig_vs_transposed___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5029028Z test_contig_vs_transposed___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5029175Z test_contig_vs_transposed___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5029333Z test_contig_vs_transposed_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5029484Z test_contig_vs_transposed_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5029661Z test_contig_vs_transposed_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5029817Z test_contig_vs_transposed_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5029972Z test_contig_vs_transposed_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5030128Z test_contig_vs_transposed_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5030270Z test_contig_vs_transposed_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5030426Z test_contig_vs_transposed_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5030575Z test_contig_vs_transposed_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5030725Z test_contig_vs_transposed_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5030876Z test_contig_vs_transposed_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5031025Z test_contig_vs_transposed_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5031174Z test_contig_vs_transposed_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5031329Z test_contig_vs_transposed_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5031479Z test_contig_vs_transposed_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5031621Z test_contig_vs_transposed_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5031772Z test_contig_vs_transposed_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5031921Z test_contig_vs_transposed_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5032071Z test_contig_vs_transposed_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5032219Z test_contig_vs_transposed_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5032368Z test_contig_vs_transposed_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5032519Z test_contig_vs_transposed_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5032680Z test_contig_vs_transposed_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5032851Z test_contig_vs_transposed_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5033010Z test_contig_vs_transposed_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5033171Z test_contig_vs_transposed_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5033327Z test_contig_vs_transposed_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5033486Z test_contig_vs_transposed_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5033654Z test_contig_vs_transposed_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5033820Z test_contig_vs_transposed_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5034011Z test_contig_vs_transposed_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5034177Z test_contig_vs_transposed_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5034332Z test_contig_vs_transposed_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5034491Z test_contig_vs_transposed_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5034647Z test_contig_vs_transposed_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5034825Z test_contig_vs_transposed_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5034982Z test_contig_vs_transposed_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5035138Z test_contig_vs_transposed_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5035293Z test_contig_vs_transposed_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5035462Z test_contig_vs_transposed_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5035633Z test_contig_vs_transposed_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5035791Z test_contig_vs_transposed_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5035961Z test_contig_vs_transposed_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5036131Z test_contig_vs_transposed_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5036289Z test_contig_vs_transposed_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5036447Z test_contig_vs_transposed_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5036607Z test_contig_vs_transposed_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5036764Z test_contig_vs_transposed_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5036922Z test_contig_vs_transposed_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5037069Z test_contig_vs_transposed_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5037231Z test_contig_vs_transposed_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5037387Z test_contig_vs_transposed_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5037546Z test_contig_vs_transposed_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5037702Z test_contig_vs_transposed_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5037863Z test_contig_vs_transposed_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5038020Z test_contig_vs_transposed_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5038181Z test_contig_vs_transposed_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5038337Z test_contig_vs_transposed_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5038482Z test_contig_vs_transposed_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5038639Z test_contig_vs_transposed_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5038801Z test_contig_vs_transposed_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5038954Z test_contig_vs_transposed_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5039138Z test_contig_vs_transposed_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5039296Z test_contig_vs_transposed_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5039454Z test_contig_vs_transposed_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5039611Z test_contig_vs_transposed_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5039766Z test_contig_vs_transposed_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5039936Z test_contig_vs_transposed_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5040092Z test_contig_vs_transposed_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5040247Z test_contig_vs_transposed_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5040404Z test_contig_vs_transposed_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5040558Z test_contig_vs_transposed_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5040709Z test_contig_vs_transposed_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5040869Z test_contig_vs_transposed_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5041026Z test_contig_vs_transposed_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5041174Z test_contig_vs_transposed_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5041336Z test_contig_vs_transposed_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5041493Z test_contig_vs_transposed_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5041646Z test_contig_vs_transposed_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5041803Z test_contig_vs_transposed_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5041956Z test_contig_vs_transposed_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5042110Z test_contig_vs_transposed_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5042266Z test_contig_vs_transposed_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5042438Z test_contig_vs_transposed_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5042601Z test_contig_vs_transposed_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5042770Z test_contig_vs_transposed_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5042938Z test_contig_vs_transposed_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5043106Z test_contig_vs_transposed_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5043273Z test_contig_vs_transposed_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5043441Z test_contig_vs_transposed_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5043607Z test_contig_vs_transposed_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5043773Z test_contig_vs_transposed_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5043950Z test_contig_vs_transposed_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5044107Z test_contig_vs_transposed_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5044309Z test_contig_vs_transposed_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5044483Z test_contig_vs_transposed_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5044656Z test_contig_vs_transposed_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5044825Z test_contig_vs_transposed_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5044990Z test_contig_vs_transposed_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5045182Z test_contig_vs_transposed_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5045350Z test_contig_vs_transposed_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5045511Z test_contig_vs_transposed_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5045671Z test_contig_vs_transposed_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5045837Z test_contig_vs_transposed_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5046005Z test_contig_vs_transposed_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5046173Z test_contig_vs_transposed_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5046337Z test_contig_vs_transposed_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5046502Z test_contig_vs_transposed_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5046667Z test_contig_vs_transposed_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5046833Z test_contig_vs_transposed_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5047121Z test_contig_vs_transposed_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5047349Z test_contig_vs_transposed_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5047522Z test_contig_vs_transposed_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5047679Z test_contig_vs_transposed_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5047834Z test_contig_vs_transposed_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5047991Z test_contig_vs_transposed_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5048147Z test_contig_vs_transposed_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5048299Z test_contig_vs_transposed_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5048454Z test_contig_vs_transposed_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5048603Z test_contig_vs_transposed_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5048741Z test_contig_vs_transposed_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5048890Z test_contig_vs_transposed_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5049038Z test_contig_vs_transposed_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5049192Z test_contig_vs_transposed_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5049340Z test_contig_vs_transposed_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5049488Z test_contig_vs_transposed_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5049700Z test_contig_vs_transposed_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5049860Z test_contig_vs_transposed_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5050016Z test_contig_vs_transposed_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.5050184Z test_contig_vs_transposed_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.5050348Z test_contig_vs_transposed_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5050555Z test_contig_vs_transposed_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5050715Z test_contig_vs_transposed_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5050875Z test_contig_vs_transposed_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5051038Z test_contig_vs_transposed_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5051195Z test_contig_vs_transposed_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5051353Z test_contig_vs_transposed_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5051500Z test_contig_vs_transposed_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5051682Z test_contig_vs_transposed_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5051850Z test_contig_vs_transposed_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5052008Z test_contig_vs_transposed_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5052173Z test_contig_vs_transposed_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5052334Z test_contig_vs_transposed_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5052494Z test_contig_vs_transposed_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5052653Z test_contig_vs_transposed_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5052814Z test_contig_vs_transposed_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5052958Z test_contig_vs_transposed_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5053117Z test_contig_vs_transposed_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5053271Z test_contig_vs_transposed_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5053424Z test_contig_vs_transposed_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5053582Z test_contig_vs_transposed_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5053736Z test_contig_vs_transposed_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5053887Z test_contig_vs_transposed_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5054037Z test_contig_vs_transposed_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5054174Z test_contig_vs_transposed_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5054324Z test_contig_vs_transposed_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5054473Z test_contig_vs_transposed_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5054628Z test_contig_vs_transposed_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5054776Z test_contig_vs_transposed_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5054953Z test_contig_vs_transposed_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5055107Z test_contig_vs_transposed_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5055259Z test_contig_vs_transposed_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5055408Z test_contig_vs_transposed_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5055545Z test_contig_vs_transposed_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5055721Z test_contig_vs_transposed_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5055872Z test_contig_vs_transposed_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5056021Z test_contig_vs_transposed_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5056175Z test_contig_vs_transposed_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5056327Z test_contig_vs_transposed_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5056479Z test_contig_vs_transposed_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5056627Z test_contig_vs_transposed_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5056762Z test_contig_vs_transposed_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5056910Z test_contig_vs_transposed_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5057057Z test_contig_vs_transposed_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5057208Z test_contig_vs_transposed_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5057355Z test_contig_vs_transposed_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5057505Z test_contig_vs_transposed_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5057655Z test_contig_vs_transposed_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5057802Z test_contig_vs_transposed_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5057950Z test_contig_vs_transposed_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5058087Z test_contig_vs_transposed_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5058235Z test_contig_vs_transposed_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5058384Z test_contig_vs_transposed_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5058533Z test_contig_vs_transposed_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5058680Z test_contig_vs_transposed_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5058832Z test_contig_vs_transposed_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5058980Z test_contig_vs_transposed_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5059129Z test_contig_vs_transposed_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5059265Z test_contig_vs_transposed_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5059411Z test_contig_vs_transposed_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5059605Z test_contig_vs_transposed_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5059823Z test_contig_vs_transposed_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5060041Z test_contig_vs_transposed_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5060381Z test_contig_vs_transposed_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5060670Z test_contig_vs_transposed_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5060897Z test_contig_vs_transposed_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5061046Z test_contig_vs_transposed_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5061183Z test_contig_vs_transposed_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5061329Z test_contig_vs_transposed_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5061509Z test_contig_vs_transposed_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5061655Z test_contig_vs_transposed_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5061818Z test_contig_vs_transposed_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5061978Z test_contig_vs_transposed_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5062142Z test_contig_vs_transposed_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5062305Z test_contig_vs_transposed_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5062454Z test_contig_vs_transposed_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5062608Z test_contig_vs_transposed_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5062767Z test_contig_vs_transposed_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5062924Z test_contig_vs_transposed_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5063081Z test_contig_vs_transposed_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5063238Z test_contig_vs_transposed_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5063389Z test_contig_vs_transposed_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5063543Z test_contig_vs_transposed_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5063694Z test_contig_vs_transposed_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5063838Z test_contig_vs_transposed_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5063991Z test_contig_vs_transposed_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5064147Z test_contig_vs_transposed_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5064300Z test_contig_vs_transposed_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5064458Z test_contig_vs_transposed_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5064616Z test_contig_vs_transposed_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5064773Z test_contig_vs_transposed_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5064931Z test_contig_vs_transposed_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5065087Z test_contig_vs_transposed_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5065232Z test_contig_vs_transposed_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5065395Z test_contig_vs_transposed_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5065556Z test_contig_vs_transposed_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5065712Z test_contig_vs_transposed_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5065893Z test_contig_vs_transposed_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5066047Z test_contig_vs_transposed_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5066202Z test_contig_vs_transposed_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5066353Z test_contig_vs_transposed_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5066495Z test_contig_vs_transposed_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5066673Z test_contig_vs_transposed_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5066826Z test_contig_vs_transposed_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5067018Z test_contig_vs_transposed_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5067206Z test_contig_vs_transposed_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5067396Z test_contig_vs_transposed_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5067589Z test_contig_vs_transposed_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5067778Z test_contig_vs_transposed_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5067967Z test_contig_vs_transposed_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5068157Z test_contig_vs_transposed_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5068332Z test_contig_vs_transposed_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5068520Z test_contig_vs_transposed_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5068704Z test_contig_vs_transposed_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5068886Z test_contig_vs_transposed_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5069067Z test_contig_vs_transposed_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5069271Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5069467Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5069674Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5069876Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5070075Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5070263Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5070463Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5070662Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5070880Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5071076Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5071270Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5071465Z test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5071644Z test_contig_vs_transposed_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5071797Z test_contig_vs_transposed_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5071943Z test_contig_vs_transposed_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5072085Z test_contig_vs_transposed_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5072236Z test_contig_vs_transposed_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5072393Z test_contig_vs_transposed_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5072547Z test_contig_vs_transposed_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5072707Z test_contig_vs_transposed_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.5072868Z test_contig_vs_transposed_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5073026Z test_contig_vs_transposed_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5073180Z test_contig_vs_transposed_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5073323Z test_contig_vs_transposed_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5073476Z test_contig_vs_transposed_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5073628Z test_contig_vs_transposed_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5073776Z test_contig_vs_transposed_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5073928Z test_contig_vs_transposed_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5074080Z test_contig_vs_transposed_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5074229Z test_contig_vs_transposed_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5074379Z test_contig_vs_transposed_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5074531Z test_contig_vs_transposed_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5074672Z test_contig_vs_transposed_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5074819Z test_contig_vs_transposed_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5074965Z test_contig_vs_transposed_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5075114Z test_contig_vs_transposed_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5075262Z test_contig_vs_transposed_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5075410Z test_contig_vs_transposed_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5075557Z test_contig_vs_transposed_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5075723Z test_contig_vs_transposed_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5075872Z test_contig_vs_transposed_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5076070Z test_contig_vs_transposed_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5076235Z test_contig_vs_transposed_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5076397Z test_contig_vs_transposed_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5076561Z test_contig_vs_transposed_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5076717Z test_contig_vs_transposed_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5076903Z test_contig_vs_transposed_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5077067Z test_contig_vs_transposed_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5077228Z test_contig_vs_transposed_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5077378Z test_contig_vs_transposed_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5077535Z test_contig_vs_transposed_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5077697Z test_contig_vs_transposed_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5077855Z test_contig_vs_transposed_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5078019Z test_contig_vs_transposed_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5078189Z test_contig_vs_transposed_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5078350Z test_contig_vs_transposed_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5078510Z test_contig_vs_transposed_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5078672Z test_contig_vs_transposed_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5078818Z test_contig_vs_transposed_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5078977Z test_contig_vs_transposed_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5079131Z test_contig_vs_transposed_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5079287Z test_contig_vs_transposed_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5079444Z test_contig_vs_transposed_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5079607Z test_contig_vs_transposed_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5079762Z test_contig_vs_transposed_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5079928Z test_contig_vs_transposed_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5080082Z test_contig_vs_transposed_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5080243Z test_contig_vs_transposed_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5080395Z test_contig_vs_transposed_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5080555Z test_contig_vs_transposed_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5080716Z test_contig_vs_transposed_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5080876Z test_contig_vs_transposed_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5081033Z test_contig_vs_transposed_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5081217Z test_contig_vs_transposed_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5081371Z test_contig_vs_transposed_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5081514Z test_contig_vs_transposed_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5081664Z test_contig_vs_transposed_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5081814Z test_contig_vs_transposed_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5081965Z test_contig_vs_transposed_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5082141Z test_contig_vs_transposed_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5082292Z test_contig_vs_transposed_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5082441Z test_contig_vs_transposed_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5082589Z test_contig_vs_transposed_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5082726Z test_contig_vs_transposed_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5082874Z test_contig_vs_transposed_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5083035Z test_contig_vs_transposed_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5083193Z test_contig_vs_transposed_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5083355Z test_contig_vs_transposed_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5083516Z test_contig_vs_transposed_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5083672Z test_contig_vs_transposed_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5083832Z test_contig_vs_transposed_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5083986Z test_contig_vs_transposed_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5084132Z test_contig_vs_transposed_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5084287Z test_contig_vs_transposed_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5084440Z test_contig_vs_transposed_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5084596Z test_contig_vs_transposed_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5084750Z test_contig_vs_transposed_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5084906Z test_contig_vs_transposed_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5085064Z test_contig_vs_transposed_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5085222Z test_contig_vs_transposed_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5085374Z test_contig_vs_transposed_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5085516Z test_contig_vs_transposed_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5085665Z test_contig_vs_transposed_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5085816Z test_contig_vs_transposed_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5085970Z test_contig_vs_transposed_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5086133Z test_contig_vs_transposed_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5086289Z test_contig_vs_transposed_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5086471Z test_contig_vs_transposed_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5086634Z test_contig_vs_transposed_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5086781Z test_contig_vs_transposed_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5086935Z test_contig_vs_transposed_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5087233Z test_contig_vs_transposed_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5087532Z test_contig_vs_transposed_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5087694Z test_contig_vs_transposed_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5087844Z test_contig_vs_transposed_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5088003Z test_contig_vs_transposed_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5088159Z test_contig_vs_transposed_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5088318Z test_contig_vs_transposed_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5088461Z test_contig_vs_transposed_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5088612Z test_contig_vs_transposed_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5088768Z test_contig_vs_transposed_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5088923Z test_contig_vs_transposed_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5089071Z test_contig_vs_transposed_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5089228Z test_contig_vs_transposed_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5089384Z test_contig_vs_transposed_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5089539Z test_contig_vs_transposed_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5089691Z test_contig_vs_transposed_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5089837Z test_contig_vs_transposed_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5089991Z test_contig_vs_transposed_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5090149Z test_contig_vs_transposed_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5090302Z test_contig_vs_transposed_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5090451Z test_contig_vs_transposed_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5090602Z test_contig_vs_transposed_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5090752Z test_contig_vs_transposed_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5090898Z test_contig_vs_transposed_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5091036Z test_contig_vs_transposed_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5091184Z test_contig_vs_transposed_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5091334Z test_contig_vs_transposed_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5091486Z test_contig_vs_transposed_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5091636Z test_contig_vs_transposed_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5091826Z test_contig_vs_transposed_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5091981Z test_contig_vs_transposed_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5092130Z test_contig_vs_transposed_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5092269Z test_contig_vs_transposed_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5092414Z test_contig_vs_transposed_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5092561Z test_contig_vs_transposed_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5092735Z test_contig_vs_transposed_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5092884Z test_contig_vs_transposed_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5093031Z test_contig_vs_transposed_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5093181Z test_contig_vs_transposed_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5093343Z test_contig_vs_transposed_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5093504Z test_contig_vs_transposed_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5093654Z test_contig_vs_transposed_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5093807Z test_contig_vs_transposed_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5093963Z test_contig_vs_transposed_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5094118Z test_contig_vs_transposed_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5094274Z test_contig_vs_transposed_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.5094429Z test_contig_vs_transposed_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5094584Z test_contig_vs_transposed_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5094737Z test_contig_vs_transposed_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5094876Z test_contig_vs_transposed_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5095026Z test_contig_vs_transposed_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5095174Z test_contig_vs_transposed_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5095325Z test_contig_vs_transposed_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5095472Z test_contig_vs_transposed_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5095621Z test_contig_vs_transposed_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5095786Z test_contig_vs_transposed_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5095948Z test_contig_vs_transposed_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5096109Z test_contig_vs_transposed_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5096257Z test_contig_vs_transposed_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5096415Z test_contig_vs_transposed_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5096573Z test_contig_vs_transposed_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5096730Z test_contig_vs_transposed_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5096888Z test_contig_vs_transposed_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5097079Z test_contig_vs_transposed_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5097230Z test_contig_vs_transposed_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5097382Z test_contig_vs_transposed_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5097537Z test_contig_vs_transposed_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5097680Z test_contig_vs_transposed_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5097859Z test_contig_vs_transposed_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5098013Z test_contig_vs_transposed_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5098160Z test_contig_vs_transposed_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5098313Z test_contig_vs_transposed_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5098462Z test_contig_vs_transposed_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5098609Z test_contig_vs_transposed_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5098756Z test_contig_vs_transposed_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5098930Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5099114Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5099292Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5099478Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5099657Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5099830Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5100010Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5100192Z test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5100370Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5100552Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5100719Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5100903Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5101078Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5101250Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5101428Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5101607Z test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5102020Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5102393Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5102787Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5103147Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5103523Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5103887Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5104250Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5104613Z test_contig_vs_transposed_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5104978Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5105341Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5105696Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5106055Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5106414Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5106774Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5107139Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5107495Z test_contig_vs_transposed_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5107676Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5107851Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5108031Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5108207Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5108384Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5108562Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5108739Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5108914Z test_contig_vs_transposed_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5109146Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5109327Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5109504Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5109672Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5109869Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5110050Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5110226Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5110409Z test_contig_vs_transposed_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5110587Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5110767Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5110942Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5111119Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5111280Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5111458Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5111634Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5111812Z test_contig_vs_transposed_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5112177Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5112544Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5112904Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5113261Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5113621Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5113982Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5114338Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5114692Z test_contig_vs_transposed_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5115057Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5115462Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5115841Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5116237Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5116609Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5116974Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5117347Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5117721Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5118095Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5118472Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5118850Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5119226Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5119594Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5119959Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5120320Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5120687Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5121059Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5121434Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5121813Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5122180Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5122578Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5122946Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5123340Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5123712Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5124087Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5124460Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5124835Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5125199Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5125551Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5125918Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5126288Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5126654Z test_contig_vs_transposed_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5126829Z test_contig_vs_transposed_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5127113Z test_contig_vs_transposed_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5127357Z test_contig_vs_transposed_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5127524Z test_contig_vs_transposed_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5127693Z test_contig_vs_transposed_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5127858Z test_contig_vs_transposed_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5128006Z test_contig_vs_transposed_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5128165Z test_contig_vs_transposed_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5128332Z test_contig_vs_transposed_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5128499Z test_contig_vs_transposed_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5128658Z test_contig_vs_transposed_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5128870Z test_contig_vs_transposed_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5129032Z test_contig_vs_transposed_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5129195Z test_contig_vs_transposed_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5129355Z test_contig_vs_transposed_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5129503Z test_contig_vs_transposed_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5129707Z test_contig_vs_transposed_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5129872Z test_contig_vs_transposed_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.068s) 2022-12-01T10:52:10.5130029Z test_contig_vs_transposed_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5130189Z test_contig_vs_transposed_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5130344Z test_contig_vs_transposed_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.5130499Z test_contig_vs_transposed_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5130651Z test_contig_vs_transposed_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5130804Z test_contig_vs_transposed_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5130946Z test_contig_vs_transposed_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5131094Z test_contig_vs_transposed_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5131244Z test_contig_vs_transposed_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5131393Z test_contig_vs_transposed_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5131542Z test_contig_vs_transposed_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5131691Z test_contig_vs_transposed_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5131854Z test_contig_vs_transposed_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5132014Z test_contig_vs_transposed_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5132171Z test_contig_vs_transposed_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5132339Z test_contig_vs_transposed_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5132501Z test_contig_vs_transposed_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5132658Z test_contig_vs_transposed_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5132812Z test_contig_vs_transposed_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5132970Z test_contig_vs_transposed_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5133128Z test_contig_vs_transposed_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5133285Z test_contig_vs_transposed_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5133440Z test_contig_vs_transposed_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5133592Z test_contig_vs_transposed_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5133746Z test_contig_vs_transposed_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5133899Z test_contig_vs_transposed_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5134081Z test_contig_vs_transposed_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5134234Z test_contig_vs_transposed_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5134384Z test_contig_vs_transposed_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5134536Z test_contig_vs_transposed_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5134690Z test_contig_vs_transposed_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5134854Z test_contig_vs_transposed_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5135006Z test_contig_vs_transposed_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5135158Z test_contig_vs_transposed_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5135311Z test_copysign_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.387s) 2022-12-01T10:52:10.5135454Z test_copysign_cpu_bfloat16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.164s) 2022-12-01T10:52:10.5135602Z test_copysign_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.097s) 2022-12-01T10:52:10.5135742Z test_copysign_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.066s) 2022-12-01T10:52:10.5135878Z test_copysign_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.078s) 2022-12-01T10:52:10.5136021Z test_copysign_cpu_bfloat16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.065s) 2022-12-01T10:52:10.5136154Z test_copysign_cpu_bfloat16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.064s) 2022-12-01T10:52:10.5136294Z test_copysign_cpu_bfloat16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.064s) 2022-12-01T10:52:10.5136434Z test_copysign_cpu_bfloat16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5136576Z test_copysign_cpu_bfloat16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5136718Z test_copysign_cpu_bool_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5136855Z test_copysign_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5136994Z test_copysign_cpu_bool_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5137133Z test_copysign_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5137262Z test_copysign_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5137401Z test_copysign_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5137538Z test_copysign_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5137673Z test_copysign_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5137807Z test_copysign_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5137947Z test_copysign_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5138090Z test_copysign_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5138228Z test_copysign_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5138362Z test_copysign_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5138506Z test_copysign_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5138643Z test_copysign_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5138789Z test_copysign_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5138928Z test_copysign_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5139067Z test_copysign_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5139234Z test_copysign_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5139371Z test_copysign_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5139505Z test_copysign_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5139643Z test_copysign_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5139783Z test_copysign_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5139921Z test_copysign_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5140084Z test_copysign_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5140223Z test_copysign_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5140360Z test_copysign_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5140501Z test_copysign_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5140627Z test_copysign_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5140761Z test_copysign_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5140901Z test_copysign_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5141040Z test_copysign_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5141184Z test_copysign_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5141327Z test_copysign_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5141462Z test_copysign_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5141599Z test_copysign_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5141725Z test_copysign_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5141863Z test_copysign_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5142000Z test_copysign_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5142135Z test_copysign_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5142276Z test_copysign_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5142413Z test_copysign_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5142548Z test_copysign_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5142686Z test_copysign_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5142825Z test_copysign_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5142953Z test_copysign_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5143091Z test_copysign_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5143228Z test_copysign_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5143366Z test_copysign_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5143497Z test_copysign_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5143640Z test_copysign_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5143776Z test_copysign_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5143917Z test_copysign_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5144043Z test_copysign_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5144181Z test_copysign_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5144343Z test_copysign_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5144480Z test_copysign_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5144616Z test_copysign_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5144752Z test_copysign_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5144890Z test_copysign_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5145031Z test_copysign_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5145182Z test_copysign_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5145319Z test_copysign_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5145462Z test_copysign_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5145601Z test_copysign_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5145739Z test_copysign_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5145876Z test_copysign_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5146011Z test_copysign_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5146147Z test_copysign_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5146270Z test_copysign_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5146406Z test_copysign_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5146545Z test_copysign_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5146683Z test_copysign_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5146822Z test_copysign_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5146962Z test_copysign_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5147098Z test_copysign_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5147233Z test_copysign_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5147354Z test_copysign_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5147486Z test_copysign_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5147621Z test_copysign_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5147763Z test_copysign_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5147895Z test_copysign_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5148036Z test_copysign_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5148176Z test_copysign_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5148319Z test_copysign_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5148446Z test_copysign_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5148582Z test_copysign_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5148716Z test_copysign_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5148854Z test_copysign_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5148991Z test_copysign_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5149154Z test_copysign_subgradient_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.265s) 2022-12-01T10:52:10.5149316Z test_copysign_subgradient_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.099s) 2022-12-01T10:52:10.5149475Z test_copysign_subgradient_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.099s) 2022-12-01T10:52:10.5149647Z test_copysign_subgradient_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.099s) 2022-12-01T10:52:10.5149803Z test_copysign_subgradient_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.060s) 2022-12-01T10:52:10.5149961Z test_copysign_subgradient_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.060s) 2022-12-01T10:52:10.5150118Z test_copysign_subgradient_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.061s) 2022-12-01T10:52:10.5150273Z test_copysign_subgradient_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.061s) 2022-12-01T10:52:10.5150454Z test_copysign_subgradient_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5150610Z test_copysign_subgradient_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5150767Z test_copysign_subgradient_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5150924Z test_copysign_subgradient_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5151072Z test_copysign_subgradient_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5151222Z test_copysign_subgradient_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5151375Z test_copysign_subgradient_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5151529Z test_copysign_subgradient_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5151664Z test_cpow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5151843Z test_cpu_tensor_pow_cuda_scalar_tensor_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5151983Z test_cremainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5152166Z test_cross_device_binary_ops_cpu (__main__.TestBinaryUfuncsCPU) ... skip: fewer than 2 devices detected (0.002s) 2022-12-01T10:52:10.5152342Z test_cross_device_inplace_error_msg_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5152461Z test_csub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5152635Z test_cuda_tensor_pow_scalar_tensor_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5152779Z test_cumulative_trapezoid_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.851s) 2022-12-01T10:52:10.5152934Z test_div_and_floordiv_script_vs_python_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.338s) 2022-12-01T10:52:10.5153083Z test_div_and_floordiv_vs_python_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.137s) 2022-12-01T10:52:10.5153213Z test_div_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5153341Z test_div_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5153491Z test_div_rounding_modes_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.085s) 2022-12-01T10:52:10.5153625Z test_div_rounding_modes_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5153765Z test_div_rounding_modes_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.053s) 2022-12-01T10:52:10.5153901Z test_div_rounding_modes_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.044s) 2022-12-01T10:52:10.5154045Z test_div_rounding_modes_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5154185Z test_div_rounding_modes_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5154324Z test_div_rounding_modes_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5154465Z test_div_rounding_modes_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5154610Z test_div_rounding_modes_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5154779Z test_div_rounding_nonfinite_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.056s) 2022-12-01T10:52:10.5154929Z test_div_rounding_nonfinite_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.049s) 2022-12-01T10:52:10.5155080Z test_div_rounding_nonfinite_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5155228Z test_div_rounding_nonfinite_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5155371Z test_div_rounding_numpy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.056s) 2022-12-01T10:52:10.5155513Z test_div_rounding_numpy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5155687Z test_div_rounding_numpy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5155832Z test_div_rounding_numpy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5155971Z test_div_rounding_numpy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5156101Z test_div_rounding_numpy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5156242Z test_div_rounding_numpy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5156380Z test_div_rounding_numpy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5156614Z test_divide_by_zero_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1036: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:52:10.5156697Z an = a.float().cpu().numpy() 2022-12-01T10:52:10.5156847Z test_binary_ufuncs.py:1036: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:52:10.5156929Z an = a.float().cpu().numpy() 2022-12-01T10:52:10.5156997Z ok (0.024s) 2022-12-01T10:52:10.5157217Z test_divide_by_zero_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1034: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:52:10.5157295Z an = a.cpu().numpy() 2022-12-01T10:52:10.5157447Z test_binary_ufuncs.py:1034: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:52:10.5157516Z an = a.cpu().numpy() 2022-12-01T10:52:10.5157579Z ok (0.021s) 2022-12-01T10:52:10.5157809Z test_divide_by_zero_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1034: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:52:10.5157880Z an = a.cpu().numpy() 2022-12-01T10:52:10.5158017Z test_binary_ufuncs.py:1034: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:52:10.5158088Z an = a.cpu().numpy() 2022-12-01T10:52:10.5158153Z ok (0.018s) 2022-12-01T10:52:10.5158385Z test_divide_by_zero_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1034: RuntimeWarning: divide by zero encountered in true_divide 2022-12-01T10:52:10.5158455Z an = a.cpu().numpy() 2022-12-01T10:52:10.5158602Z test_binary_ufuncs.py:1034: RuntimeWarning: invalid value encountered in true_divide 2022-12-01T10:52:10.5158673Z an = a.cpu().numpy() 2022-12-01T10:52:10.5158735Z ok (0.018s) 2022-12-01T10:52:10.5158890Z test_divmul_scalar_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5159118Z test_float_power_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:4016: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5159256Z expected_scalar_base = torch.from_numpy(np.float_power(i, to_np(exp))) 2022-12-01T10:52:10.5159316Z ok (0.753s) 2022-12-01T10:52:10.5159469Z test_float_power_cpu_bfloat16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.091s) 2022-12-01T10:52:10.5159621Z test_float_power_cpu_bfloat16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.091s) 2022-12-01T10:52:10.5159848Z test_float_power_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:4016: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5160012Z expected_scalar_base = torch.from_numpy(np.float_power(i, to_np(exp))) 2022-12-01T10:52:10.5160064Z ok (0.074s) 2022-12-01T10:52:10.5160289Z test_float_power_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:4016: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5160425Z expected_scalar_base = torch.from_numpy(np.float_power(i, to_np(exp))) 2022-12-01T10:52:10.5160488Z ok (0.074s) 2022-12-01T10:52:10.5160712Z test_float_power_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:4016: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5160874Z expected_scalar_base = torch.from_numpy(np.float_power(i, to_np(exp))) 2022-12-01T10:52:10.5160938Z ok (0.075s) 2022-12-01T10:52:10.5161085Z test_float_power_cpu_bfloat16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.201s) 2022-12-01T10:52:10.5161214Z test_float_power_cpu_bfloat16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.076s) 2022-12-01T10:52:10.5161352Z test_float_power_cpu_bfloat16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5161494Z test_float_power_cpu_bfloat16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5161637Z test_float_power_cpu_bfloat16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5161866Z test_float_power_cpu_complex128_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:4016: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5162002Z expected_scalar_base = torch.from_numpy(np.float_power(i, to_np(exp))) 2022-12-01T10:52:10.5162065Z ok (0.013s) 2022-12-01T10:52:10.5162221Z test_float_power_cpu_complex128_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5162362Z test_float_power_cpu_complex128_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5162512Z test_float_power_cpu_complex128_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5162660Z test_float_power_cpu_complex128_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5162809Z test_float_power_cpu_complex128_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5162953Z test_float_power_cpu_complex128_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5163101Z test_float_power_cpu_complex128_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5163242Z test_float_power_cpu_complex128_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5163388Z test_float_power_cpu_complex128_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5163533Z test_float_power_cpu_complex128_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5163671Z test_float_power_cpu_complex64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5163819Z test_float_power_cpu_complex64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.042s) 2022-12-01T10:52:10.5163972Z test_float_power_cpu_complex64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.042s) 2022-12-01T10:52:10.5164121Z test_float_power_cpu_complex64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5164268Z test_float_power_cpu_complex64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5164413Z test_float_power_cpu_complex64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5164558Z test_float_power_cpu_complex64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5164704Z test_float_power_cpu_complex64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5164832Z test_float_power_cpu_complex64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5164977Z test_float_power_cpu_complex64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5165116Z test_float_power_cpu_complex64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5165289Z test_float_power_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5165435Z test_float_power_cpu_float16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5165581Z test_float_power_cpu_float16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5165724Z test_float_power_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5165863Z test_float_power_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5166028Z test_float_power_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5166174Z test_float_power_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5166312Z test_float_power_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5166453Z test_float_power_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5166596Z test_float_power_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5166737Z test_float_power_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5166881Z test_float_power_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5167171Z test_float_power_cpu_float32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5167389Z test_float_power_cpu_float32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5167529Z test_float_power_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5167671Z test_float_power_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5167810Z test_float_power_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5167955Z test_float_power_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5168095Z test_float_power_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5168235Z test_float_power_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5168376Z test_float_power_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5168515Z test_float_power_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5168649Z test_float_power_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5168800Z test_float_power_cpu_float64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5168949Z test_float_power_cpu_float64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5169094Z test_float_power_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5169233Z test_float_power_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5169371Z test_float_power_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5169511Z test_float_power_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5169650Z test_float_power_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5169778Z test_float_power_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5169920Z test_float_power_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5170059Z test_float_power_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5170203Z test_float_power_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5170348Z test_float_power_cpu_int16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5170542Z test_float_power_cpu_int16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5170681Z test_float_power_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5170818Z test_float_power_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5170949Z test_float_power_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5171078Z test_float_power_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5171222Z test_float_power_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5171390Z test_float_power_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5171533Z test_float_power_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5171671Z test_float_power_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5171818Z test_float_power_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5171969Z test_float_power_cpu_int32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5172115Z test_float_power_cpu_int32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5172245Z test_float_power_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5172383Z test_float_power_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5172521Z test_float_power_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5172662Z test_float_power_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5172801Z test_float_power_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5172940Z test_float_power_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5173078Z test_float_power_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5173217Z test_float_power_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5173351Z test_float_power_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5173495Z test_float_power_cpu_int64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5173638Z test_float_power_cpu_int64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5173780Z test_float_power_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5173921Z test_float_power_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5174065Z test_float_power_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5174204Z test_float_power_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5174339Z test_float_power_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5174467Z test_float_power_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5174604Z test_float_power_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5174740Z test_float_power_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5174881Z test_float_power_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5175024Z test_float_power_cpu_int8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5175169Z test_float_power_cpu_int8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5175312Z test_float_power_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5175450Z test_float_power_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5175590Z test_float_power_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5175754Z test_float_power_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5175891Z test_float_power_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5176023Z test_float_power_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5176161Z test_float_power_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5176298Z test_float_power_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5176444Z test_float_power_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5176615Z test_float_power_cpu_uint8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5176762Z test_float_power_cpu_uint8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5176895Z test_float_power_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5177036Z test_float_power_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5177173Z test_float_power_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5177311Z test_float_power_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5177448Z test_float_power_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5177587Z test_float_power_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5177730Z test_float_power_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5177867Z test_float_power_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5178243Z test_float_power_exceptions_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _promo_helper test_binary_ufuncs.py line 4026 2022-12-01T10:52:10.5178313Z due to: 2022-12-01T10:52:10.5178403Z Traceback (most recent call last): 2022-12-01T10:52:10.5178558Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:52:10.5178810Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:52:10.5179012Z AssertionError: torch.* op returned non-Tensor bool call_method is_complex 2022-12-01T10:52:10.5179025Z 2022-12-01T10:52:10.5179095Z from user code: 2022-12-01T10:52:10.5179215Z File "test_binary_ufuncs.py", line 4030, in _promo_helper 2022-12-01T10:52:10.5179315Z elif type(i) == torch.Tensor and i.is_complex(): 2022-12-01T10:52:10.5179320Z 2022-12-01T10:52:10.5179452Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5179513Z ========== 2022-12-01T10:52:10.5180043Z test_binary_ufuncs.py:4047: UserWarning: An output with one or more elements was resized since it had shape [1], which does not match the required output shape [5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:52:10.5180141Z torch.float_power(base, exp, out=out) 2022-12-01T10:52:10.5180205Z ok (0.065s) 2022-12-01T10:52:10.5180435Z test_float_scalar_pow_float_tensor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1384: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5180547Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5180696Z test_binary_ufuncs.py:1384: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:52:10.5180796Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5180862Z ok (0.080s) 2022-12-01T10:52:10.5181088Z test_float_scalar_pow_float_tensor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1384: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5181222Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5181366Z test_binary_ufuncs.py:1384: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:52:10.5181472Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5181534Z ok (0.038s) 2022-12-01T10:52:10.5181685Z test_floor_divide_scalar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.588s) 2022-12-01T10:52:10.5181823Z test_floor_divide_scalar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.191s) 2022-12-01T10:52:10.5181993Z test_floor_divide_scalar_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.188s) 2022-12-01T10:52:10.5182135Z test_floor_divide_scalar_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.187s) 2022-12-01T10:52:10.5182273Z test_floor_divide_scalar_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.187s) 2022-12-01T10:52:10.5182415Z test_floor_divide_scalar_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.186s) 2022-12-01T10:52:10.5182555Z test_floor_divide_scalar_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.187s) 2022-12-01T10:52:10.5182699Z test_floor_divide_tensor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5182840Z test_floor_divide_tensor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5182971Z test_floor_divide_tensor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5183110Z test_floor_divide_tensor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5183249Z test_floor_divide_tensor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5183392Z test_floor_divide_tensor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5183535Z test_floor_divide_tensor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5183677Z test_floor_divide_zero_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (1.311s) 2022-12-01T10:52:10.5183817Z test_floor_divide_zero_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5183956Z test_floor_divide_zero_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5184085Z test_floor_divide_zero_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5184224Z test_floor_divide_zero_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5184382Z test_fmod_remainder_by_zero_float_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5184543Z test_fmod_remainder_by_zero_float_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5184699Z test_fmod_remainder_by_zero_float_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5184857Z test_fmod_remainder_by_zero_integral_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5185017Z test_fmod_remainder_by_zero_integral_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5185173Z test_fmod_remainder_by_zero_integral_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5185327Z test_fmod_remainder_by_zero_integral_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5185471Z test_fmod_remainder_by_zero_integral_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5185614Z test_fmod_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.159s) 2022-12-01T10:52:10.5185756Z test_fmod_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.148s) 2022-12-01T10:52:10.5185896Z test_fmod_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5186037Z test_fmod_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.066s) 2022-12-01T10:52:10.5186177Z test_fmod_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.066s) 2022-12-01T10:52:10.5186340Z test_fmod_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.065s) 2022-12-01T10:52:10.5186477Z test_fmod_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.066s) 2022-12-01T10:52:10.5186605Z test_fmod_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.066s) 2022-12-01T10:52:10.5186732Z test_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.059s) 2022-12-01T10:52:10.5186854Z test_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5186973Z test_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5187097Z test_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5187240Z test_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5187406Z test_heaviside_complex_cpu_complex128_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.065s) 2022-12-01T10:52:10.5187570Z test_heaviside_complex_cpu_complex128_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5187723Z test_heaviside_complex_cpu_complex64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.5187883Z test_heaviside_complex_cpu_complex64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5188276Z test_heaviside_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3135 2022-12-01T10:52:10.5188341Z due to: 2022-12-01T10:52:10.5188432Z Traceback (most recent call last): 2022-12-01T10:52:10.5188585Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:52:10.5188706Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:52:10.5188817Z AssertionError: unsafe constant torch.float64 2022-12-01T10:52:10.5188822Z 2022-12-01T10:52:10.5188880Z from user code: 2022-12-01T10:52:10.5189017Z File "test_binary_ufuncs.py", line 3137, in 2022-12-01T10:52:10.5189151Z input_dtype if (input_dtype != torch.bfloat16) else torch.float64 2022-12-01T10:52:10.5189156Z 2022-12-01T10:52:10.5189286Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5189349Z ========== 2022-12-01T10:52:10.5189412Z ok (0.029s) 2022-12-01T10:52:10.5189556Z test_heaviside_cpu_bfloat16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5189703Z test_heaviside_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5189833Z test_heaviside_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5189977Z test_heaviside_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5190123Z test_heaviside_cpu_bfloat16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5190264Z test_heaviside_cpu_bfloat16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5190401Z test_heaviside_cpu_bfloat16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5190544Z test_heaviside_cpu_bfloat16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5190685Z test_heaviside_cpu_bfloat16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5190827Z test_heaviside_cpu_bool_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5190954Z test_heaviside_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5191095Z test_heaviside_cpu_bool_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5191238Z test_heaviside_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5191377Z test_heaviside_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5191514Z test_heaviside_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5191682Z test_heaviside_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5191818Z test_heaviside_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5191956Z test_heaviside_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5192083Z test_heaviside_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5192227Z test_heaviside_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5192365Z test_heaviside_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5192564Z test_heaviside_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5192709Z test_heaviside_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5192846Z test_heaviside_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5192987Z test_heaviside_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5193129Z test_heaviside_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5193266Z test_heaviside_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5193396Z test_heaviside_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5193532Z test_heaviside_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5193673Z test_heaviside_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5193813Z test_heaviside_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5193957Z test_heaviside_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5194102Z test_heaviside_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5194229Z test_heaviside_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5194373Z test_heaviside_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5194514Z test_heaviside_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5194654Z test_heaviside_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5194797Z test_heaviside_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5194936Z test_heaviside_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5195086Z test_heaviside_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5195231Z test_heaviside_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5195387Z test_heaviside_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5195600Z test_heaviside_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5195763Z test_heaviside_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5195903Z test_heaviside_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5196045Z test_heaviside_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5196182Z test_heaviside_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5196366Z test_heaviside_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5196535Z test_heaviside_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5196681Z test_heaviside_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5196810Z test_heaviside_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5196950Z test_heaviside_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5197125Z test_heaviside_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5197265Z test_heaviside_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5197405Z test_heaviside_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5197545Z test_heaviside_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5197684Z test_heaviside_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5197825Z test_heaviside_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5197973Z test_heaviside_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5198121Z test_heaviside_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5198264Z test_heaviside_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5198404Z test_heaviside_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5198546Z test_heaviside_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5198686Z test_heaviside_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5198826Z test_heaviside_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5198963Z test_heaviside_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5199087Z test_heaviside_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5199223Z test_heaviside_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5199362Z test_heaviside_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5199509Z test_heaviside_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5199649Z test_heaviside_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5199789Z test_heaviside_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5199928Z test_heaviside_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5200067Z test_heaviside_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5200193Z test_heaviside_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5200328Z test_heaviside_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5200462Z test_heaviside_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5200601Z test_heaviside_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5200740Z test_heaviside_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5200880Z test_heaviside_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201019Z test_heaviside_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201160Z test_heaviside_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201289Z test_heaviside_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201430Z test_heaviside_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201567Z test_heaviside_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201704Z test_heaviside_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201841Z test_heaviside_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5201980Z test_heaviside_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5202119Z test_heaviside_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5202264Z test_heaviside_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5202416Z test_heaviside_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5202557Z test_heaviside_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5202697Z test_heaviside_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5202835Z test_heaviside_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5202973Z test_heaviside_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5203110Z test_heaviside_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5203286Z test_heaviside_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5203426Z test_heaviside_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5203550Z test_heaviside_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5203725Z test_heaviside_cross_device_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5203859Z test_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5203989Z test_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5204120Z test_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5204269Z test_idiv_and_ifloordiv_vs_python_cpu (__main__.TestBinaryUfuncsCPU) ... ok (7.204s) 2022-12-01T10:52:10.5204406Z test_inplace_division_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5204707Z test_inplace_dunders_cpu (__main__.TestBinaryUfuncsCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:52:10.5204923Z test_int_and_float_pow_cpu (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1384: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5205028Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5205174Z test_binary_ufuncs.py:1384: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5205285Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5205352Z ok (0.840s) 2022-12-01T10:52:10.5205696Z test_int_tensor_pow_neg_ints_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 1395 2022-12-01T10:52:10.5205762Z due to: 2022-12-01T10:52:10.5205852Z Traceback (most recent call last): 2022-12-01T10:52:10.5205950Z File "test_binary_ufuncs.py", line 1384, in _test_pow 2022-12-01T10:52:10.5206066Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5206198Z ValueError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5206204Z 2022-12-01T10:52:10.5206341Z During handling of the above exception, another exception occurred: 2022-12-01T10:52:10.5206346Z 2022-12-01T10:52:10.5206441Z Traceback (most recent call last): 2022-12-01T10:52:10.5206655Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5206755Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5206889Z RuntimeError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5206895Z 2022-12-01T10:52:10.5207148Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5207153Z 2022-12-01T10:52:10.5207232Z Traceback (most recent call last): 2022-12-01T10:52:10.5207455Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5207553Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5207663Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5207667Z 2022-12-01T10:52:10.5207738Z from user code: 2022-12-01T10:52:10.5207850Z File "test_binary_ufuncs.py", line 1395, in 2022-12-01T10:52:10.5207938Z lambda: base.pow(exponent), 2022-12-01T10:52:10.5207994Z 2022-12-01T10:52:10.5208124Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5208174Z ========== 2022-12-01T10:52:10.5208410Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 1396 2022-12-01T10:52:10.5208474Z due to: 2022-12-01T10:52:10.5208565Z Traceback (most recent call last): 2022-12-01T10:52:10.5208674Z File "test_binary_ufuncs.py", line 1384, in _test_pow 2022-12-01T10:52:10.5208785Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5208914Z ValueError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5208919Z 2022-12-01T10:52:10.5209075Z During handling of the above exception, another exception occurred: 2022-12-01T10:52:10.5209094Z 2022-12-01T10:52:10.5209171Z Traceback (most recent call last): 2022-12-01T10:52:10.5209391Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5209489Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5209624Z RuntimeError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5209629Z 2022-12-01T10:52:10.5209764Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5209769Z 2022-12-01T10:52:10.5209857Z Traceback (most recent call last): 2022-12-01T10:52:10.5210011Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5210104Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5210198Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5210203Z 2022-12-01T10:52:10.5210270Z from user code: 2022-12-01T10:52:10.5210379Z File "test_binary_ufuncs.py", line 1396, in 2022-12-01T10:52:10.5210466Z lambda: base.pow_(exponent), 2022-12-01T10:52:10.5210471Z 2022-12-01T10:52:10.5210600Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5210663Z ========== 2022-12-01T10:52:10.5210890Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 1397 2022-12-01T10:52:10.5210943Z due to: 2022-12-01T10:52:10.5211032Z Traceback (most recent call last): 2022-12-01T10:52:10.5211141Z File "test_binary_ufuncs.py", line 1384, in _test_pow 2022-12-01T10:52:10.5211256Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5211386Z ValueError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5211391Z 2022-12-01T10:52:10.5211525Z During handling of the above exception, another exception occurred: 2022-12-01T10:52:10.5211530Z 2022-12-01T10:52:10.5211617Z Traceback (most recent call last): 2022-12-01T10:52:10.5211829Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5211913Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5212048Z RuntimeError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5212053Z 2022-12-01T10:52:10.5212184Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5212191Z 2022-12-01T10:52:10.5212282Z Traceback (most recent call last): 2022-12-01T10:52:10.5212435Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5212530Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5212637Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5212642Z 2022-12-01T10:52:10.5212709Z from user code: 2022-12-01T10:52:10.5212806Z File "test_binary_ufuncs.py", line 1397, in 2022-12-01T10:52:10.5212899Z lambda: torch.pow(base, exponent), 2022-12-01T10:52:10.5212904Z 2022-12-01T10:52:10.5213032Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5213096Z ========== 2022-12-01T10:52:10.5213325Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 1398 2022-12-01T10:52:10.5213389Z due to: 2022-12-01T10:52:10.5213478Z Traceback (most recent call last): 2022-12-01T10:52:10.5213587Z File "test_binary_ufuncs.py", line 1384, in _test_pow 2022-12-01T10:52:10.5213716Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5213843Z ValueError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5213849Z 2022-12-01T10:52:10.5213981Z During handling of the above exception, another exception occurred: 2022-12-01T10:52:10.5213987Z 2022-12-01T10:52:10.5214076Z Traceback (most recent call last): 2022-12-01T10:52:10.5214289Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5214385Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5214518Z RuntimeError: Integers to negative integer powers are not allowed. 2022-12-01T10:52:10.5214546Z 2022-12-01T10:52:10.5214680Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5214685Z 2022-12-01T10:52:10.5214774Z Traceback (most recent call last): 2022-12-01T10:52:10.5214916Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5215014Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5215119Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5215125Z 2022-12-01T10:52:10.5215193Z from user code: 2022-12-01T10:52:10.5215301Z File "test_binary_ufuncs.py", line 1398, in 2022-12-01T10:52:10.5215406Z lambda: torch.pow(base, exponent, out=out), 2022-12-01T10:52:10.5215411Z 2022-12-01T10:52:10.5215540Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5215590Z ========== 2022-12-01T10:52:10.5215655Z ok (0.093s) 2022-12-01T10:52:10.5215784Z test_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.054s) 2022-12-01T10:52:10.5215913Z test_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.5216040Z test_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5216165Z test_ldexp_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.086s) 2022-12-01T10:52:10.5216750Z test_lerp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:3353: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:52:10.5216863Z torch.lerp(start, end, weight, out=actual_out) 2022-12-01T10:52:10.5217395Z test_binary_ufuncs.py:3353: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:52:10.5217505Z torch.lerp(start, end, weight, out=actual_out) 2022-12-01T10:52:10.5217571Z ok (0.067s) 2022-12-01T10:52:10.5217696Z test_lerp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5217829Z test_lerp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5217961Z test_lerp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5218121Z test_lerp_lowp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5218265Z test_lerp_lowp_cpu_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.070s) 2022-12-01T10:52:10.5218423Z test_lerp_lowp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5218565Z test_logaddexp2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.285s) 2022-12-01T10:52:10.5218705Z test_logaddexp2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.110s) 2022-12-01T10:52:10.5218858Z test_logaddexp2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.083s) 2022-12-01T10:52:10.5218996Z test_logaddexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.198s) 2022-12-01T10:52:10.5219133Z test_logaddexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.045s) 2022-12-01T10:52:10.5219272Z test_logaddexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.044s) 2022-12-01T10:52:10.5219424Z test_logical_and_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.176s) 2022-12-01T10:52:10.5219573Z test_logical_and_cpu_bfloat16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5219916Z test_logical_and_cpu_bfloat16_complex128 (__main__.TestBinaryUfuncsCPU) ... :5: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:250.) 2022-12-01T10:52:10.5219983Z ok (0.027s) 2022-12-01T10:52:10.5220125Z test_logical_and_cpu_bfloat16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5220276Z test_logical_and_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5220425Z test_logical_and_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5220575Z test_logical_and_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5220719Z test_logical_and_cpu_bfloat16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5220867Z test_logical_and_cpu_bfloat16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5221012Z test_logical_and_cpu_bfloat16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5221156Z test_logical_and_cpu_bfloat16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5221299Z test_logical_and_cpu_bfloat16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5221433Z test_logical_and_cpu_bool_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5221575Z test_logical_and_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5221724Z test_logical_and_cpu_bool_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5221870Z test_logical_and_cpu_bool_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222015Z test_logical_and_cpu_bool_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222152Z test_logical_and_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222299Z test_logical_and_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222440Z test_logical_and_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222569Z test_logical_and_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222713Z test_logical_and_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222853Z test_logical_and_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5222992Z test_logical_and_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5223146Z test_logical_and_cpu_complex128_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5223294Z test_logical_and_cpu_complex128_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5223451Z test_logical_and_cpu_complex128_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5223606Z test_logical_and_cpu_complex128_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5223745Z test_logical_and_cpu_complex128_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5223896Z test_logical_and_cpu_complex128_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5224070Z test_logical_and_cpu_complex128_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5224221Z test_logical_and_cpu_complex128_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5224367Z test_logical_and_cpu_complex128_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5224510Z test_logical_and_cpu_complex128_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5224655Z test_logical_and_cpu_complex128_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5224803Z test_logical_and_cpu_complex128_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5224965Z test_logical_and_cpu_complex64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5225116Z test_logical_and_cpu_complex64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5225267Z test_logical_and_cpu_complex64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5225422Z test_logical_and_cpu_complex64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5225572Z test_logical_and_cpu_complex64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5225721Z test_logical_and_cpu_complex64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5225869Z test_logical_and_cpu_complex64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5226014Z test_logical_and_cpu_complex64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5226158Z test_logical_and_cpu_complex64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5226287Z test_logical_and_cpu_complex64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5226433Z test_logical_and_cpu_complex64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5226575Z test_logical_and_cpu_complex64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5226724Z test_logical_and_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5226868Z test_logical_and_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5227018Z test_logical_and_cpu_float16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5227166Z test_logical_and_cpu_float16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5227311Z test_logical_and_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5227443Z test_logical_and_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5227588Z test_logical_and_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5227730Z test_logical_and_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5227870Z test_logical_and_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5228008Z test_logical_and_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5228150Z test_logical_and_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5228289Z test_logical_and_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5228435Z test_logical_and_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5228563Z test_logical_and_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5228716Z test_logical_and_cpu_float32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5228864Z test_logical_and_cpu_float32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5229009Z test_logical_and_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5229152Z test_logical_and_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5229318Z test_logical_and_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5229462Z test_logical_and_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5229602Z test_logical_and_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5229739Z test_logical_and_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5229870Z test_logical_and_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5230035Z test_logical_and_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5230184Z test_logical_and_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5230324Z test_logical_and_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5230475Z test_logical_and_cpu_float64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5230627Z test_logical_and_cpu_float64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5230771Z test_logical_and_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5230913Z test_logical_and_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5231038Z test_logical_and_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5231184Z test_logical_and_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5231327Z test_logical_and_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5231465Z test_logical_and_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5231606Z test_logical_and_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5231749Z test_logical_and_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5231898Z test_logical_and_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5232039Z test_logical_and_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5232173Z test_logical_and_cpu_int16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5232319Z test_logical_and_cpu_int16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5232463Z test_logical_and_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5232603Z test_logical_and_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5232743Z test_logical_and_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5232885Z test_logical_and_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5233026Z test_logical_and_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5233175Z test_logical_and_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5233317Z test_logical_and_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5233443Z test_logical_and_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5233591Z test_logical_and_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5233732Z test_logical_and_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5233887Z test_logical_and_cpu_int32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5234033Z test_logical_and_cpu_int32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5234178Z test_logical_and_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5234318Z test_logical_and_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5234489Z test_logical_and_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5234619Z test_logical_and_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5234759Z test_logical_and_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5234896Z test_logical_and_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5235038Z test_logical_and_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5235176Z test_logical_and_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5235349Z test_logical_and_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5235493Z test_logical_and_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5235641Z test_logical_and_cpu_int64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5235777Z test_logical_and_cpu_int64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5235919Z test_logical_and_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5236060Z test_logical_and_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5236197Z test_logical_and_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5236336Z test_logical_and_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5236472Z test_logical_and_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5236614Z test_logical_and_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5236756Z test_logical_and_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5236883Z test_logical_and_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5237030Z test_logical_and_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5237173Z test_logical_and_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5237322Z test_logical_and_cpu_int8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5237471Z test_logical_and_cpu_int8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5237615Z test_logical_and_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5237756Z test_logical_and_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5237895Z test_logical_and_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5238036Z test_logical_and_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5238164Z test_logical_and_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5238304Z test_logical_and_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5238447Z test_logical_and_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5238588Z test_logical_and_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5238733Z test_logical_and_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5238873Z test_logical_and_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5239024Z test_logical_and_cpu_uint8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5239175Z test_logical_and_cpu_uint8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5239377Z test_logical_and_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5239550Z test_logical_and_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5239725Z test_logical_and_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5239868Z test_logical_and_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5240011Z test_logical_and_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5240198Z test_logical_and_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.149s) 2022-12-01T10:52:10.5240361Z test_logical_and_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5240503Z test_logical_and_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5240670Z test_logical_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.215s) 2022-12-01T10:52:10.5240804Z test_logical_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.105s) 2022-12-01T10:52:10.5240974Z test_logical_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.101s) 2022-12-01T10:52:10.5241137Z test_logical_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.100s) 2022-12-01T10:52:10.5241274Z test_logical_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.100s) 2022-12-01T10:52:10.5241408Z test_logical_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.100s) 2022-12-01T10:52:10.5241537Z test_logical_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.101s) 2022-12-01T10:52:10.5241671Z test_logical_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.101s) 2022-12-01T10:52:10.5241857Z test_logical_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5241990Z test_logical_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5242141Z test_logical_or_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.144s) 2022-12-01T10:52:10.5242285Z test_logical_or_cpu_bfloat16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5242434Z test_logical_or_cpu_bfloat16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5242655Z test_logical_or_cpu_bfloat16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5242802Z test_logical_or_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5242948Z test_logical_or_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5243076Z test_logical_or_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5243220Z test_logical_or_cpu_bfloat16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5243424Z test_logical_or_cpu_bfloat16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5243568Z test_logical_or_cpu_bfloat16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5243710Z test_logical_or_cpu_bfloat16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5243851Z test_logical_or_cpu_bfloat16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5243994Z test_logical_or_cpu_bool_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5244182Z test_logical_or_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5244333Z test_logical_or_cpu_bool_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5244479Z test_logical_or_cpu_bool_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5244621Z test_logical_or_cpu_bool_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5244767Z test_logical_or_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5244942Z test_logical_or_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5245112Z test_logical_or_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5245257Z test_logical_or_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5245397Z test_logical_or_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5245558Z test_logical_or_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5245732Z test_logical_or_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5245916Z test_logical_or_cpu_complex128_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5246062Z test_logical_or_cpu_complex128_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5246215Z test_logical_or_cpu_complex128_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5246400Z test_logical_or_cpu_complex128_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5246616Z test_logical_or_cpu_complex128_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5246768Z test_logical_or_cpu_complex128_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5246916Z test_logical_or_cpu_complex128_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5247164Z test_logical_or_cpu_complex128_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5247462Z test_logical_or_cpu_complex128_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5247613Z test_logical_or_cpu_complex128_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5247759Z test_logical_or_cpu_complex128_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5247905Z test_logical_or_cpu_complex128_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5248054Z test_logical_or_cpu_complex64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5248269Z test_logical_or_cpu_complex64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5248424Z test_logical_or_cpu_complex64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5248566Z test_logical_or_cpu_complex64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5248715Z test_logical_or_cpu_complex64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5248864Z test_logical_or_cpu_complex64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249010Z test_logical_or_cpu_complex64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249155Z test_logical_or_cpu_complex64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249298Z test_logical_or_cpu_complex64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249440Z test_logical_or_cpu_complex64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249582Z test_logical_or_cpu_complex64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249709Z test_logical_or_cpu_complex64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249854Z test_logical_or_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5249995Z test_logical_or_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5250144Z test_logical_or_cpu_float16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5250290Z test_logical_or_cpu_float16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5250431Z test_logical_or_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5250571Z test_logical_or_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5250710Z test_logical_or_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5250851Z test_logical_or_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5250977Z test_logical_or_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5251172Z test_logical_or_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5251312Z test_logical_or_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5251457Z test_logical_or_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5251606Z test_logical_or_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5251749Z test_logical_or_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5251904Z test_logical_or_cpu_float32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5252085Z test_logical_or_cpu_float32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5252220Z test_logical_or_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5252363Z test_logical_or_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5252504Z test_logical_or_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5252646Z test_logical_or_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5252785Z test_logical_or_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5252921Z test_logical_or_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5253062Z test_logical_or_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5253206Z test_logical_or_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5253341Z test_logical_or_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5253482Z test_logical_or_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5253633Z test_logical_or_cpu_float64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5253785Z test_logical_or_cpu_float64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5253930Z test_logical_or_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5254067Z test_logical_or_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5254205Z test_logical_or_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5254344Z test_logical_or_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5254480Z test_logical_or_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5254606Z test_logical_or_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5254744Z test_logical_or_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5254885Z test_logical_or_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5255032Z test_logical_or_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5255172Z test_logical_or_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5255322Z test_logical_or_cpu_int16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5255465Z test_logical_or_cpu_int16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5255606Z test_logical_or_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5255732Z test_logical_or_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5255870Z test_logical_or_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5256011Z test_logical_or_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5256152Z test_logical_or_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5256293Z test_logical_or_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5256460Z test_logical_or_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5256598Z test_logical_or_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5256741Z test_logical_or_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5256868Z test_logical_or_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257011Z test_logical_or_cpu_int32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257152Z test_logical_or_cpu_int32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257316Z test_logical_or_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257455Z test_logical_or_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257589Z test_logical_or_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257729Z test_logical_or_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257867Z test_logical_or_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5257993Z test_logical_or_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5258130Z test_logical_or_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5258264Z test_logical_or_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5258408Z test_logical_or_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5258547Z test_logical_or_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5258692Z test_logical_or_cpu_int64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5258839Z test_logical_or_cpu_int64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5258979Z test_logical_or_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5259103Z test_logical_or_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5259239Z test_logical_or_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5259376Z test_logical_or_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5259513Z test_logical_or_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5259650Z test_logical_or_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5259789Z test_logical_or_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5259927Z test_logical_or_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5260071Z test_logical_or_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5260200Z test_logical_or_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5260343Z test_logical_or_cpu_int8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5260486Z test_logical_or_cpu_int8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5260629Z test_logical_or_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5260768Z test_logical_or_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5260910Z test_logical_or_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5261049Z test_logical_or_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5261188Z test_logical_or_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5261327Z test_logical_or_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5261452Z test_logical_or_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5261616Z test_logical_or_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5261761Z test_logical_or_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5261900Z test_logical_or_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5262046Z test_logical_or_cpu_uint8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5262191Z test_logical_or_cpu_uint8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5262355Z test_logical_or_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5262490Z test_logical_or_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5262619Z test_logical_or_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5262760Z test_logical_or_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5262901Z test_logical_or_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5263042Z test_logical_or_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5263180Z test_logical_or_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5263318Z test_logical_or_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5263467Z test_logical_xor_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.145s) 2022-12-01T10:52:10.5263613Z test_logical_xor_cpu_bfloat16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5263754Z test_logical_xor_cpu_bfloat16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5263906Z test_logical_xor_cpu_bfloat16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5264053Z test_logical_xor_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5264196Z test_logical_xor_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5264343Z test_logical_xor_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5264487Z test_logical_xor_cpu_bfloat16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5264626Z test_logical_xor_cpu_bfloat16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5264763Z test_logical_xor_cpu_bfloat16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5264896Z test_logical_xor_cpu_bfloat16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5265040Z test_logical_xor_cpu_bfloat16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5265182Z test_logical_xor_cpu_bool_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5265323Z test_logical_xor_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5265472Z test_logical_xor_cpu_bool_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5265619Z test_logical_xor_cpu_bool_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5265762Z test_logical_xor_cpu_bool_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5265901Z test_logical_xor_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5266040Z test_logical_xor_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5266168Z test_logical_xor_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5266309Z test_logical_xor_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5266450Z test_logical_xor_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5266589Z test_logical_xor_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5266754Z test_logical_xor_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5266907Z test_logical_xor_cpu_complex128_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5267057Z test_logical_xor_cpu_complex128_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5267210Z test_logical_xor_cpu_complex128_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5267351Z test_logical_xor_cpu_complex128_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5267500Z test_logical_xor_cpu_complex128_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5267673Z test_logical_xor_cpu_complex128_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5267824Z test_logical_xor_cpu_complex128_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5267972Z test_logical_xor_cpu_complex128_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5268124Z test_logical_xor_cpu_complex128_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5268265Z test_logical_xor_cpu_complex128_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5268409Z test_logical_xor_cpu_complex128_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5268542Z test_logical_xor_cpu_complex128_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5268692Z test_logical_xor_cpu_complex64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5268839Z test_logical_xor_cpu_complex64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5268991Z test_logical_xor_cpu_complex64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5269143Z test_logical_xor_cpu_complex64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5269293Z test_logical_xor_cpu_complex64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5269440Z test_logical_xor_cpu_complex64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5269586Z test_logical_xor_cpu_complex64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5269731Z test_logical_xor_cpu_complex64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5269861Z test_logical_xor_cpu_complex64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5269999Z test_logical_xor_cpu_complex64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5270145Z test_logical_xor_cpu_complex64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5270285Z test_logical_xor_cpu_complex64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5270432Z test_logical_xor_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5270576Z test_logical_xor_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5270728Z test_logical_xor_cpu_float16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5270875Z test_logical_xor_cpu_float16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5271005Z test_logical_xor_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5271145Z test_logical_xor_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5271289Z test_logical_xor_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5271435Z test_logical_xor_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5271575Z test_logical_xor_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5271711Z test_logical_xor_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5271883Z test_logical_xor_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5272023Z test_logical_xor_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5272157Z test_logical_xor_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5272296Z test_logical_xor_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5272444Z test_logical_xor_cpu_float32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5272594Z test_logical_xor_cpu_float32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5272764Z test_logical_xor_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5272909Z test_logical_xor_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5273049Z test_logical_xor_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5273193Z test_logical_xor_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5273334Z test_logical_xor_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5273457Z test_logical_xor_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5273595Z test_logical_xor_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5273737Z test_logical_xor_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5273884Z test_logical_xor_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5274026Z test_logical_xor_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5274178Z test_logical_xor_cpu_float64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5274329Z test_logical_xor_cpu_float64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5274476Z test_logical_xor_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5274607Z test_logical_xor_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5274747Z test_logical_xor_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5274889Z test_logical_xor_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5275027Z test_logical_xor_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5275168Z test_logical_xor_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5275313Z test_logical_xor_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5275454Z test_logical_xor_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5275598Z test_logical_xor_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5275729Z test_logical_xor_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5275874Z test_logical_xor_cpu_int16_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5276019Z test_logical_xor_cpu_int16_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5276165Z test_logical_xor_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5276304Z test_logical_xor_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5276441Z test_logical_xor_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5276583Z test_logical_xor_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5276726Z test_logical_xor_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5276853Z test_logical_xor_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5277050Z test_logical_xor_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5277187Z test_logical_xor_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5277333Z test_logical_xor_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5277474Z test_logical_xor_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5277624Z test_logical_xor_cpu_int32_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5277772Z test_logical_xor_cpu_int32_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5277949Z test_logical_xor_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5278089Z test_logical_xor_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5278213Z test_logical_xor_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5278355Z test_logical_xor_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5278494Z test_logical_xor_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5278634Z test_logical_xor_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5278775Z test_logical_xor_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5278913Z test_logical_xor_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5279060Z test_logical_xor_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5279201Z test_logical_xor_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5279336Z test_logical_xor_cpu_int64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5279482Z test_logical_xor_cpu_int64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5279626Z test_logical_xor_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5279766Z test_logical_xor_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5279903Z test_logical_xor_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5280043Z test_logical_xor_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5280179Z test_logical_xor_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5280320Z test_logical_xor_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5280448Z test_logical_xor_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5280587Z test_logical_xor_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5280729Z test_logical_xor_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5280866Z test_logical_xor_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281011Z test_logical_xor_cpu_int8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281159Z test_logical_xor_cpu_int8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281302Z test_logical_xor_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281445Z test_logical_xor_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281570Z test_logical_xor_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281713Z test_logical_xor_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281851Z test_logical_xor_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5281988Z test_logical_xor_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5282125Z test_logical_xor_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5282291Z test_logical_xor_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5282436Z test_logical_xor_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5282572Z test_logical_xor_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5282708Z test_logical_xor_cpu_uint8_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5282854Z test_logical_xor_cpu_uint8_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5282998Z test_logical_xor_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5283167Z test_logical_xor_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5283306Z test_logical_xor_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5283446Z test_logical_xor_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5283589Z test_logical_xor_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5283728Z test_logical_xor_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5283868Z test_logical_xor_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5283994Z test_logical_xor_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5284157Z test_logical_xor_with_nontrivial_alignment_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.230s) 2022-12-01T10:52:10.5284538Z test_long_tensor_pow_floats_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 1425 2022-12-01T10:52:10.5284609Z due to: 2022-12-01T10:52:10.5284703Z Traceback (most recent call last): 2022-12-01T10:52:10.5284924Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5285025Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5285127Z RuntimeError: Found dtype Long but expected Float 2022-12-01T10:52:10.5285147Z 2022-12-01T10:52:10.5285271Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5285276Z 2022-12-01T10:52:10.5285366Z Traceback (most recent call last): 2022-12-01T10:52:10.5285523Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5285620Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5285727Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5285733Z 2022-12-01T10:52:10.5285801Z from user code: 2022-12-01T10:52:10.5285912Z File "test_binary_ufuncs.py", line 1425, in 2022-12-01T10:52:10.5286002Z lambda: actual.pow_(exponent), 2022-12-01T10:52:10.5286007Z 2022-12-01T10:52:10.5286126Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5286190Z ========== 2022-12-01T10:52:10.5286256Z ok (0.046s) 2022-12-01T10:52:10.5286433Z test_maximum_and_minimum_subgradient_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.056s) 2022-12-01T10:52:10.5286609Z test_maximum_and_minimum_subgradient_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5286782Z test_maximum_and_minimum_subgradient_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5287078Z test_maximum_and_minimum_subgradient_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5287248Z test_maximum_and_minimum_subgradient_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5287481Z test_maximum_and_minimum_subgradient_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5287655Z test_maximum_and_minimum_subgradient_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5287825Z test_maximum_and_minimum_subgradient_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5288045Z test_maximum_and_minimum_subgradient_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5288211Z test_maximum_and_minimum_subgradient_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5288375Z test_maximum_and_minimum_subgradient_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5288540Z test_maximum_and_minimum_subgradient_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5288737Z test_maximum_and_minimum_subgradient_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5288903Z test_maximum_and_minimum_subgradient_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5289054Z test_maximum_and_minimum_subgradient_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5289217Z test_maximum_and_minimum_subgradient_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5289387Z test_maximum_minimum_complex_cpu_complex128_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.055s) 2022-12-01T10:52:10.5289551Z test_maximum_minimum_complex_cpu_complex128_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5289722Z test_maximum_minimum_complex_cpu_complex128_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5289890Z test_maximum_minimum_complex_cpu_complex128_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5290055Z test_maximum_minimum_complex_cpu_complex128_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5290216Z test_maximum_minimum_complex_cpu_complex128_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5290372Z test_maximum_minimum_complex_cpu_complex128_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5290524Z test_maximum_minimum_complex_cpu_complex128_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5290679Z test_maximum_minimum_complex_cpu_complex128_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5290839Z test_maximum_minimum_complex_cpu_complex128_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5291001Z test_maximum_minimum_complex_cpu_complex128_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5291165Z test_maximum_minimum_complex_cpu_complex128_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5291333Z test_maximum_minimum_complex_cpu_complex64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5291493Z test_maximum_minimum_complex_cpu_complex64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5291660Z test_maximum_minimum_complex_cpu_complex64_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5291831Z test_maximum_minimum_complex_cpu_complex64_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5291982Z test_maximum_minimum_complex_cpu_complex64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5292138Z test_maximum_minimum_complex_cpu_complex64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5292294Z test_maximum_minimum_complex_cpu_complex64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5292453Z test_maximum_minimum_complex_cpu_complex64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5292612Z test_maximum_minimum_complex_cpu_complex64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5292770Z test_maximum_minimum_complex_cpu_complex64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5292929Z test_maximum_minimum_complex_cpu_complex64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5293110Z test_maximum_minimum_complex_cpu_complex64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5293283Z test_maximum_minimum_cross_device_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5293423Z test_maximum_minimum_float_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.049s) 2022-12-01T10:52:10.5293835Z test_maximum_minimum_float_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 2128 2022-12-01T10:52:10.5293900Z due to: 2022-12-01T10:52:10.5293992Z Traceback (most recent call last): 2022-12-01T10:52:10.5294175Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:52:10.5294297Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:52:10.5294408Z AssertionError: unsafe constant torch.float16 2022-12-01T10:52:10.5294416Z 2022-12-01T10:52:10.5294485Z from user code: 2022-12-01T10:52:10.5294622Z File "test_binary_ufuncs.py", line 2128, in 2022-12-01T10:52:10.5294753Z a_np = np.random.randn(10).astype(torch_to_numpy_dtype_dict[dtype]) 2022-12-01T10:52:10.5294759Z 2022-12-01T10:52:10.5294891Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5294952Z ========== 2022-12-01T10:52:10.5295015Z ok (0.016s) 2022-12-01T10:52:10.5295164Z test_maximum_minimum_float_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5295311Z test_maximum_minimum_float_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5295478Z test_maximum_minimum_float_nan_and_inf_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.5295883Z test_maximum_minimum_float_nan_and_inf_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_maximum_minimum_float_nan_and_inf test_binary_ufuncs.py line 2147 2022-12-01T10:52:10.5295947Z due to: 2022-12-01T10:52:10.5296037Z Traceback (most recent call last): 2022-12-01T10:52:10.5296193Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:52:10.5296314Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:52:10.5296426Z AssertionError: unsafe constant torch.float16 2022-12-01T10:52:10.5296432Z 2022-12-01T10:52:10.5296499Z from user code: 2022-12-01T10:52:10.5296640Z File "test_binary_ufuncs.py", line 2181, in test_maximum_minimum_float_nan_and_inf 2022-12-01T10:52:10.5296758Z a_np = np.array(a_vals, dtype=torch_to_numpy_dtype_dict[dtype]) 2022-12-01T10:52:10.5296763Z 2022-12-01T10:52:10.5296892Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5296951Z ========== 2022-12-01T10:52:10.5297016Z ok (0.009s) 2022-12-01T10:52:10.5297181Z test_maximum_minimum_float_nan_and_inf_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5297341Z test_maximum_minimum_float_nan_and_inf_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5297747Z test_maximum_minimum_forward_ad_float32_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_maximum_minimum_forward_ad_float32 test_binary_ufuncs.py line 2295 2022-12-01T10:52:10.5297810Z due to: 2022-12-01T10:52:10.5297889Z Traceback (most recent call last): 2022-12-01T10:52:10.5298042Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:52:10.5298291Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:52:10.5298570Z AssertionError: torch.* op returned non-Tensor dual_level call_function 2022-12-01T10:52:10.5298575Z 2022-12-01T10:52:10.5298643Z from user code: 2022-12-01T10:52:10.5298786Z File "test_binary_ufuncs.py", line 2304, in test_maximum_minimum_forward_ad_float32 2022-12-01T10:52:10.5298896Z with fwAD.dual_level(): 2022-12-01T10:52:10.5298901Z 2022-12-01T10:52:10.5299030Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5299080Z ========== 2022-12-01T10:52:10.5299143Z ok (0.051s) 2022-12-01T10:52:10.5299561Z test_maximum_minimum_int_and_bool_cpu_bool (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 2091 2022-12-01T10:52:10.5299626Z due to: 2022-12-01T10:52:10.5299715Z Traceback (most recent call last): 2022-12-01T10:52:10.5299900Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:52:10.5300022Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:52:10.5300125Z AssertionError: unsafe constant torch.bool 2022-12-01T10:52:10.5300130Z 2022-12-01T10:52:10.5300187Z from user code: 2022-12-01T10:52:10.5300342Z File "test_binary_ufuncs.py", line 2091, in 2022-12-01T10:52:10.5300540Z rng.integers(-100, 100, size=10), dtype=torch_to_numpy_dtype_dict[dtype] 2022-12-01T10:52:10.5300545Z 2022-12-01T10:52:10.5300673Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5300734Z ========== 2022-12-01T10:52:10.5300798Z ok (0.024s) 2022-12-01T10:52:10.5300951Z test_maximum_minimum_int_and_bool_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5301102Z test_maximum_minimum_int_and_bool_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5301243Z test_maximum_minimum_int_and_bool_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5301397Z test_maximum_minimum_int_and_bool_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5301549Z test_maximum_minimum_int_and_bool_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5301970Z test_maximum_minimum_type_promotion_cpu_bfloat16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_maximum_minimum_type_promotion test_binary_ufuncs.py line 2061 2022-12-01T10:52:10.5302034Z due to: 2022-12-01T10:52:10.5302123Z Traceback (most recent call last): 2022-12-01T10:52:10.5302276Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:52:10.5302524Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:52:10.5302815Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:52:10.5302832Z 2022-12-01T10:52:10.5302889Z from user code: 2022-12-01T10:52:10.5303031Z File "test_binary_ufuncs.py", line 2079, in test_maximum_minimum_type_promotion 2022-12-01T10:52:10.5303161Z self.assertEqual(result.dtype, torch.result_type(a, b)) 2022-12-01T10:52:10.5303168Z 2022-12-01T10:52:10.5303297Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5303357Z ========== 2022-12-01T10:52:10.5303421Z ok (0.007s) 2022-12-01T10:52:10.5303593Z test_maximum_minimum_type_promotion_cpu_bfloat16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5303753Z test_maximum_minimum_type_promotion_cpu_bfloat16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5303924Z test_maximum_minimum_type_promotion_cpu_bfloat16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5304095Z test_maximum_minimum_type_promotion_cpu_bfloat16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5304265Z test_maximum_minimum_type_promotion_cpu_bfloat16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5304433Z test_maximum_minimum_type_promotion_cpu_bfloat16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5304625Z test_maximum_minimum_type_promotion_cpu_bfloat16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5304791Z test_maximum_minimum_type_promotion_cpu_bfloat16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5304958Z test_maximum_minimum_type_promotion_cpu_bfloat16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5305123Z test_maximum_minimum_type_promotion_cpu_bool_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5305276Z test_maximum_minimum_type_promotion_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5305462Z test_maximum_minimum_type_promotion_cpu_bool_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5305623Z test_maximum_minimum_type_promotion_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5305778Z test_maximum_minimum_type_promotion_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5305943Z test_maximum_minimum_type_promotion_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5306101Z test_maximum_minimum_type_promotion_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5306266Z test_maximum_minimum_type_promotion_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5306426Z test_maximum_minimum_type_promotion_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5306584Z test_maximum_minimum_type_promotion_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5306744Z test_maximum_minimum_type_promotion_cpu_float16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5306904Z test_maximum_minimum_type_promotion_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5307071Z test_maximum_minimum_type_promotion_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5307240Z test_maximum_minimum_type_promotion_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5307406Z test_maximum_minimum_type_promotion_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5307570Z test_maximum_minimum_type_promotion_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5307732Z test_maximum_minimum_type_promotion_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5307891Z test_maximum_minimum_type_promotion_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5308053Z test_maximum_minimum_type_promotion_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5308204Z test_maximum_minimum_type_promotion_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5308372Z test_maximum_minimum_type_promotion_cpu_float32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5308538Z test_maximum_minimum_type_promotion_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5308704Z test_maximum_minimum_type_promotion_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5308868Z test_maximum_minimum_type_promotion_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5309033Z test_maximum_minimum_type_promotion_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5309195Z test_maximum_minimum_type_promotion_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5309359Z test_maximum_minimum_type_promotion_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5309520Z test_maximum_minimum_type_promotion_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5309699Z test_maximum_minimum_type_promotion_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5309861Z test_maximum_minimum_type_promotion_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5310029Z test_maximum_minimum_type_promotion_cpu_float64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5310188Z test_maximum_minimum_type_promotion_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5310354Z test_maximum_minimum_type_promotion_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5310545Z test_maximum_minimum_type_promotion_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5310711Z test_maximum_minimum_type_promotion_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5310874Z test_maximum_minimum_type_promotion_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5311037Z test_maximum_minimum_type_promotion_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5311184Z test_maximum_minimum_type_promotion_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5311343Z test_maximum_minimum_type_promotion_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5311504Z test_maximum_minimum_type_promotion_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5311671Z test_maximum_minimum_type_promotion_cpu_int16_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5311835Z test_maximum_minimum_type_promotion_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5312000Z test_maximum_minimum_type_promotion_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5312161Z test_maximum_minimum_type_promotion_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5312322Z test_maximum_minimum_type_promotion_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5312486Z test_maximum_minimum_type_promotion_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5312632Z test_maximum_minimum_type_promotion_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5312793Z test_maximum_minimum_type_promotion_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5312953Z test_maximum_minimum_type_promotion_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5313116Z test_maximum_minimum_type_promotion_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5313282Z test_maximum_minimum_type_promotion_cpu_int32_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5313441Z test_maximum_minimum_type_promotion_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5313604Z test_maximum_minimum_type_promotion_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5313767Z test_maximum_minimum_type_promotion_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5313926Z test_maximum_minimum_type_promotion_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5314076Z test_maximum_minimum_type_promotion_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5314235Z test_maximum_minimum_type_promotion_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5314395Z test_maximum_minimum_type_promotion_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5314555Z test_maximum_minimum_type_promotion_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5314735Z test_maximum_minimum_type_promotion_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5314902Z test_maximum_minimum_type_promotion_cpu_int64_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5315063Z test_maximum_minimum_type_promotion_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5315223Z test_maximum_minimum_type_promotion_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5315383Z test_maximum_minimum_type_promotion_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5315568Z test_maximum_minimum_type_promotion_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5315731Z test_maximum_minimum_type_promotion_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5315888Z test_maximum_minimum_type_promotion_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5316043Z test_maximum_minimum_type_promotion_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5316200Z test_maximum_minimum_type_promotion_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5316354Z test_maximum_minimum_type_promotion_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5316516Z test_maximum_minimum_type_promotion_cpu_int8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5316675Z test_maximum_minimum_type_promotion_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5316839Z test_maximum_minimum_type_promotion_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5316986Z test_maximum_minimum_type_promotion_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5317139Z test_maximum_minimum_type_promotion_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5317298Z test_maximum_minimum_type_promotion_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5317458Z test_maximum_minimum_type_promotion_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5317611Z test_maximum_minimum_type_promotion_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5317773Z test_maximum_minimum_type_promotion_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5317930Z test_maximum_minimum_type_promotion_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5318098Z test_maximum_minimum_type_promotion_cpu_uint8_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5318254Z test_maximum_minimum_type_promotion_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5318407Z test_maximum_minimum_type_promotion_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5318570Z test_maximum_minimum_type_promotion_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5318729Z test_maximum_minimum_type_promotion_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5318887Z test_maximum_minimum_type_promotion_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5319040Z test_maximum_minimum_type_promotion_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5319194Z test_maximum_minimum_type_promotion_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5319356Z test_maximum_minimum_type_promotion_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5319511Z test_maximum_minimum_type_promotion_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5319647Z test_min_max_binary_op_nan_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.045s) 2022-12-01T10:52:10.5319819Z test_min_max_binary_op_nan_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.044s) 2022-12-01T10:52:10.5320006Z test_mul_chalf_tensor_and_cpu_scalar_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5320129Z test_mul_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.070s) 2022-12-01T10:52:10.5320280Z test_mul_intertype_scalar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5320425Z test_mul_intertype_scalar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5320592Z test_muldiv_scalar_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5320731Z test_muldiv_scalar_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.5320875Z test_muldiv_scalar_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5321007Z test_muldiv_scalar_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5321151Z test_muldiv_scalar_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.5321288Z test_muldiv_scalar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.5321425Z test_muldiv_scalar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.041s) 2022-12-01T10:52:10.5321561Z test_muldiv_scalar_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5321698Z test_muldiv_scalar_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5321834Z test_muldiv_scalar_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5321973Z test_muldiv_scalar_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5322099Z test_muldiv_scalar_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5322247Z test_nextafter_bfloat16_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5322386Z test_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.138s) 2022-12-01T10:52:10.5322519Z test_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.079s) 2022-12-01T10:52:10.5322667Z test_non_contig___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5322808Z test_non_contig___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5322957Z test_non_contig___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5323105Z test_non_contig___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5323240Z test_non_contig___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5323377Z test_non_contig___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5323511Z test_non_contig___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5323656Z test_non_contig___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5323793Z test_non_contig___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5323928Z test_non_contig___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5324068Z test_non_contig___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5324204Z test_non_contig___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5324331Z test_non_contig___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5324472Z test_non_contig___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5324609Z test_non_contig___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5324744Z test_non_contig___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5324912Z test_non_contig___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5325045Z test_non_contig___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5325187Z test_non_contig___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5325326Z test_non_contig___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5325472Z test_non_contig___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5325607Z test_non_contig___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5325773Z test_non_contig___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5325911Z test_non_contig___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5326053Z test_non_contig___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5326192Z test_non_contig___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5326326Z test_non_contig___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5326459Z test_non_contig___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5326595Z test_non_contig___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5326719Z test_non_contig___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5326862Z test_non_contig___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5327132Z test_non_contig___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5327343Z test_non_contig___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5327484Z test_non_contig___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5327633Z test_non_contig___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5327772Z test_non_contig___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5327919Z test_non_contig___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5328052Z test_non_contig___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5328196Z test_non_contig___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5328338Z test_non_contig___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5328482Z test_non_contig___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5328620Z test_non_contig___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5328754Z test_non_contig___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5328886Z test_non_contig___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329024Z test_non_contig___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329160Z test_non_contig___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329289Z test_non_contig___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329428Z test_non_contig___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329565Z test_non_contig___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329701Z test_non_contig___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329836Z test_non_contig___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5329973Z test_non_contig___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5330650Z test_non_contig___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.5330786Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.5330849Z ok (0.002s) 2022-12-01T10:52:10.5330987Z test_non_contig___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5331135Z test_non_contig___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5331312Z test_non_contig___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5331454Z test_non_contig___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5331591Z test_non_contig___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5331732Z test_non_contig___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5331870Z test_non_contig___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332005Z test_non_contig___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332132Z test_non_contig___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332269Z test_non_contig___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332412Z test_non_contig___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332558Z test_non_contig___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332705Z test_non_contig___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332845Z test_non_contig___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5332983Z test_non_contig___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5333118Z test_non_contig___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5333246Z test_non_contig___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5333381Z test_non_contig___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5333514Z test_non_contig___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5333654Z test_non_contig___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5333790Z test_non_contig___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5333928Z test_non_contig___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5334066Z test_non_contig___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5334200Z test_non_contig___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5334322Z test_non_contig___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5334460Z test_non_contig___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5334596Z test_non_contig___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5334740Z test_non_contig_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5334879Z test_non_contig_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5335019Z test_non_contig_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5335158Z test_non_contig_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5335296Z test_non_contig_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5335465Z test_non_contig_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5335596Z test_non_contig_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5335735Z test_non_contig_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5335871Z test_non_contig_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5336009Z test_non_contig_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5336151Z test_non_contig_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5336311Z test_non_contig_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5336450Z test_non_contig_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5336590Z test_non_contig_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5336721Z test_non_contig_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5336863Z test_non_contig_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337004Z test_non_contig_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337144Z test_non_contig_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337279Z test_non_contig_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337416Z test_non_contig_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337555Z test_non_contig_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337689Z test_non_contig_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337826Z test_non_contig_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5337969Z test_non_contig_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5338121Z test_non_contig_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5338263Z test_non_contig_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5338412Z test_non_contig_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5338558Z test_non_contig_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5338710Z test_non_contig_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5338864Z test_non_contig_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5339006Z test_non_contig_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5339156Z test_non_contig_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5339303Z test_non_contig_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5339448Z test_non_contig_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5339590Z test_non_contig_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5339733Z test_non_contig_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5339876Z test_non_contig_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5340018Z test_non_contig_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5340161Z test_non_contig_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5340307Z test_non_contig_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5340459Z test_non_contig_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5340636Z test_non_contig_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5340787Z test_non_contig_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5340938Z test_non_contig_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5341084Z test_non_contig_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5341292Z test_non_contig_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5341620Z test_non_contig_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5341889Z test_non_contig_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5342119Z test_non_contig_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5342261Z test_non_contig_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5342412Z test_non_contig_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5342557Z test_non_contig_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5342700Z test_non_contig_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5342845Z test_non_contig_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5342989Z test_non_contig_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5343134Z test_non_contig_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5343264Z test_non_contig_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5343401Z test_non_contig_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5343544Z test_non_contig_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5343681Z test_non_contig_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5343831Z test_non_contig_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5343970Z test_non_contig_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5344114Z test_non_contig_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5344254Z test_non_contig_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5344389Z test_non_contig_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5344530Z test_non_contig_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5344670Z test_non_contig_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5344810Z test_non_contig_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5344950Z test_non_contig_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5345121Z test_non_contig_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5345293Z test_non_contig_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5345473Z test_non_contig_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5345607Z test_non_contig_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5345817Z test_non_contig_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5346082Z test_non_contig_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5346239Z test_non_contig_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5352129Z test_non_contig_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5352319Z test_non_contig_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5352472Z test_non_contig_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5352613Z test_non_contig_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5352751Z test_non_contig_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5352895Z test_non_contig_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5353093Z test_non_contig_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5353257Z test_non_contig_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5353415Z test_non_contig_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5353579Z test_non_contig_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5353734Z test_non_contig_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5353889Z test_non_contig_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5354041Z test_non_contig_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5354193Z test_non_contig_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5354348Z test_non_contig_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5354488Z test_non_contig_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5354650Z test_non_contig_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5354808Z test_non_contig_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5354973Z test_non_contig_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5355134Z test_non_contig_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5355294Z test_non_contig_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5355454Z test_non_contig_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5355615Z test_non_contig_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5355769Z test_non_contig_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5355916Z test_non_contig_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5356067Z test_non_contig_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5356225Z test_non_contig_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5356376Z test_non_contig_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5356537Z test_non_contig_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5356694Z test_non_contig_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5356850Z test_non_contig_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5357005Z test_non_contig_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5357149Z test_non_contig_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5357302Z test_non_contig_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5357484Z test_non_contig_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5357639Z test_non_contig_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5357788Z test_non_contig_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5357930Z test_non_contig_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5358069Z test_non_contig_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5358241Z test_non_contig_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5358384Z test_non_contig_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5358514Z test_non_contig_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5358654Z test_non_contig_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5358796Z test_non_contig_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5358934Z test_non_contig_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5359071Z test_non_contig_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5359207Z test_non_contig_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5359341Z test_non_contig_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5359478Z test_non_contig_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5359605Z test_non_contig_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5359759Z test_non_contig_expand___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.155s) 2022-12-01T10:52:10.5359906Z test_non_contig_expand___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5360068Z test_non_contig_expand___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5360224Z test_non_contig_expand___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5360376Z test_non_contig_expand___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5360528Z test_non_contig_expand___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5360675Z test_non_contig_expand___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5360814Z test_non_contig_expand___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5360964Z test_non_contig_expand___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5361112Z test_non_contig_expand___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5361259Z test_non_contig_expand___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5361406Z test_non_contig_expand___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5361551Z test_non_contig_expand___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5361700Z test_non_contig_expand___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5361844Z test_non_contig_expand___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5361988Z test_non_contig_expand___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5362125Z test_non_contig_expand___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5362272Z test_non_contig_expand___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5362424Z test_non_contig_expand___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5362599Z test_non_contig_expand___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5362758Z test_non_contig_expand___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5362914Z test_non_contig_expand___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5363066Z test_non_contig_expand___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5363218Z test_non_contig_expand___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5363381Z test_non_contig_expand___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5363530Z test_non_contig_expand___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5363675Z test_non_contig_expand___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5363820Z test_non_contig_expand___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5363965Z test_non_contig_expand___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5364107Z test_non_contig_expand___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5364260Z test_non_contig_expand___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5364407Z test_non_contig_expand___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5364555Z test_non_contig_expand___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5364690Z test_non_contig_expand___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5364841Z test_non_contig_expand___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5364987Z test_non_contig_expand___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5365145Z test_non_contig_expand___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5365299Z test_non_contig_expand___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5365448Z test_non_contig_expand___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5365598Z test_non_contig_expand___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5365747Z test_non_contig_expand___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5365886Z test_non_contig_expand___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5366031Z test_non_contig_expand___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5366172Z test_non_contig_expand___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5366322Z test_non_contig_expand___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5366468Z test_non_contig_expand___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5366617Z test_non_contig_expand___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5366760Z test_non_contig_expand___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5366905Z test_non_contig_expand___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5367184Z test_non_contig_expand___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5367394Z test_non_contig_expand___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5367543Z test_non_contig_expand___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5368210Z test_non_contig_expand___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.5368404Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.5368468Z ok (0.003s) 2022-12-01T10:52:10.5368627Z test_non_contig_expand___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5368782Z test_non_contig_expand___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5368983Z test_non_contig_expand___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5369135Z test_non_contig_expand___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5369274Z test_non_contig_expand___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5369422Z test_non_contig_expand___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5369568Z test_non_contig_expand___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5369712Z test_non_contig_expand___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5369859Z test_non_contig_expand___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5370006Z test_non_contig_expand___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5370159Z test_non_contig_expand___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5370315Z test_non_contig_expand___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5370470Z test_non_contig_expand___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5370609Z test_non_contig_expand___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5370757Z test_non_contig_expand___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5370903Z test_non_contig_expand___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5371050Z test_non_contig_expand___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5371197Z test_non_contig_expand___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5371341Z test_non_contig_expand___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5371489Z test_non_contig_expand___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5371635Z test_non_contig_expand___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5371772Z test_non_contig_expand___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5371918Z test_non_contig_expand___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5372060Z test_non_contig_expand___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5372205Z test_non_contig_expand___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5372351Z test_non_contig_expand___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5372495Z test_non_contig_expand___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5372648Z test_non_contig_expand_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5372797Z test_non_contig_expand_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5372948Z test_non_contig_expand_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5373115Z test_non_contig_expand_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5373264Z test_non_contig_expand_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5373414Z test_non_contig_expand_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5373555Z test_non_contig_expand_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5373699Z test_non_contig_expand_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5373846Z test_non_contig_expand_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5374020Z test_non_contig_expand_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5374160Z test_non_contig_expand_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5374295Z test_non_contig_expand_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5374442Z test_non_contig_expand_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5374592Z test_non_contig_expand_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5374740Z test_non_contig_expand_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5374889Z test_non_contig_expand_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5375032Z test_non_contig_expand_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5375177Z test_non_contig_expand_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5375327Z test_non_contig_expand_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5375463Z test_non_contig_expand_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5375612Z test_non_contig_expand_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5375761Z test_non_contig_expand_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5375915Z test_non_contig_expand_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5376068Z test_non_contig_expand_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5376219Z test_non_contig_expand_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5376368Z test_non_contig_expand_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5376522Z test_non_contig_expand_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5376676Z test_non_contig_expand_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5376829Z test_non_contig_expand_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5376990Z test_non_contig_expand_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5377145Z test_non_contig_expand_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5377307Z test_non_contig_expand_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5377470Z test_non_contig_expand_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5377620Z test_non_contig_expand_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5377772Z test_non_contig_expand_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5377920Z test_non_contig_expand_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5378072Z test_non_contig_expand_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5378213Z test_non_contig_expand_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5378388Z test_non_contig_expand_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5378557Z test_non_contig_expand_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5378717Z test_non_contig_expand_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5378877Z test_non_contig_expand_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5379037Z test_non_contig_expand_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5379223Z test_non_contig_expand_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5379378Z test_non_contig_expand_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5379521Z test_non_contig_expand_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5379679Z test_non_contig_expand_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5379830Z test_non_contig_expand_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5379982Z test_non_contig_expand_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5380130Z test_non_contig_expand_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5380287Z test_non_contig_expand_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5380439Z test_non_contig_expand_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5380593Z test_non_contig_expand_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5380745Z test_non_contig_expand_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5380884Z test_non_contig_expand_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5381037Z test_non_contig_expand_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5381191Z test_non_contig_expand_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5381344Z test_non_contig_expand_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5381495Z test_non_contig_expand_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5381648Z test_non_contig_expand_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5381807Z test_non_contig_expand_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5381957Z test_non_contig_expand_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5382101Z test_non_contig_expand_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5382253Z test_non_contig_expand_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5382402Z test_non_contig_expand_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5382552Z test_non_contig_expand_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5382702Z test_non_contig_expand_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5382848Z test_non_contig_expand_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5383001Z test_non_contig_expand_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5383148Z test_non_contig_expand_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5383297Z test_non_contig_expand_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5383465Z test_non_contig_expand_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5383616Z test_non_contig_expand_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5383767Z test_non_contig_expand_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5383919Z test_non_contig_expand_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5384072Z test_non_contig_expand_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5384252Z test_non_contig_expand_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5384408Z test_non_contig_expand_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5384580Z test_non_contig_expand_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5384818Z test_non_contig_expand_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5384957Z test_non_contig_expand_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5385108Z test_non_contig_expand_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5385258Z test_non_contig_expand_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5385440Z test_non_contig_expand_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5385670Z test_non_contig_expand_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5385836Z test_non_contig_expand_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5385996Z test_non_contig_expand_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5386163Z test_non_contig_expand_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5386382Z test_non_contig_expand_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5386540Z test_non_contig_expand_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5386702Z test_non_contig_expand_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5386866Z test_non_contig_expand_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5387053Z test_non_contig_expand_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5387266Z test_non_contig_expand_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5387437Z test_non_contig_expand_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5387609Z test_non_contig_expand_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5387776Z test_non_contig_expand_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5388000Z test_non_contig_expand_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5388171Z test_non_contig_expand_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5388335Z test_non_contig_expand_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5388502Z test_non_contig_expand_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5388708Z test_non_contig_expand_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5388887Z test_non_contig_expand_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5389089Z test_non_contig_expand_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5389255Z test_non_contig_expand_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5389436Z test_non_contig_expand_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5389634Z test_non_contig_expand_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5389798Z test_non_contig_expand_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5389992Z test_non_contig_expand_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5390150Z test_non_contig_expand_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5390306Z test_non_contig_expand_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5390472Z test_non_contig_expand_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5390630Z test_non_contig_expand_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5390777Z test_non_contig_expand_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5390956Z test_non_contig_expand_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5391124Z test_non_contig_expand_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5391278Z test_non_contig_expand_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5391427Z test_non_contig_expand_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5391573Z test_non_contig_expand_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5391759Z test_non_contig_expand_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5391930Z test_non_contig_expand_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5392074Z test_non_contig_expand_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5392214Z test_non_contig_expand_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5392339Z test_non_contig_expand_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5392500Z test_non_contig_expand_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5392689Z test_non_contig_expand_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5392852Z test_non_contig_expand_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5393006Z test_non_contig_expand_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5393169Z test_non_contig_expand_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5393381Z test_non_contig_expand_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5393555Z test_non_contig_expand_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5393714Z test_non_contig_expand_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5393858Z test_non_contig_expand_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5394015Z test_non_contig_expand_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5394232Z test_non_contig_expand_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5394383Z test_non_contig_expand_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5394567Z test_non_contig_expand_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5394722Z test_non_contig_expand_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5394935Z test_non_contig_expand_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5395114Z test_non_contig_expand_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5395264Z test_non_contig_expand_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5395453Z test_non_contig_expand_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5395611Z test_non_contig_expand_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5395830Z test_non_contig_expand_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5395992Z test_non_contig_expand_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5396146Z test_non_contig_expand_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5396295Z test_non_contig_expand_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5396455Z test_non_contig_expand_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5396652Z test_non_contig_expand_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5396791Z test_non_contig_expand_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5396941Z test_non_contig_expand_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5397089Z test_non_contig_expand_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5397249Z test_non_contig_expand_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5397448Z test_non_contig_expand_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5397592Z test_non_contig_expand_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5397737Z test_non_contig_expand_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5397882Z test_non_contig_expand_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5398032Z test_non_contig_expand_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5398234Z test_non_contig_expand_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5398380Z test_non_contig_expand_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5398528Z test_non_contig_expand_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5398676Z test_non_contig_expand_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5398836Z test_non_contig_expand_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5399033Z test_non_contig_expand_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5399179Z test_non_contig_expand_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5399323Z test_non_contig_expand_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5399457Z test_non_contig_expand_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5399620Z test_non_contig_expand_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5399825Z test_non_contig_expand_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5399970Z test_non_contig_expand_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5400151Z test_non_contig_expand_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5400293Z test_non_contig_expand_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5400462Z test_non_contig_expand_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5400644Z test_non_contig_expand_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5400778Z test_non_contig_expand_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5400923Z test_non_contig_expand_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5401098Z test_non_contig_expand_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5401246Z test_non_contig_expand_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5401387Z test_non_contig_expand_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5401532Z test_non_contig_expand_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5401672Z test_non_contig_expand_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5401820Z test_non_contig_expand_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5401965Z test_non_contig_expand_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5402099Z test_non_contig_expand_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5402245Z test_non_contig_expand_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5402413Z test_non_contig_expand_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5402558Z test_non_contig_expand_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5402699Z test_non_contig_expand_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5402849Z test_non_contig_expand_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5402990Z test_non_contig_expand_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5403134Z test_non_contig_expand_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5403271Z test_non_contig_expand_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5403416Z test_non_contig_expand_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5403566Z test_non_contig_expand_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5403709Z test_non_contig_expand_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5403853Z test_non_contig_expand_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5404001Z test_non_contig_expand_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5404144Z test_non_contig_expand_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5404288Z test_non_contig_expand_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5404420Z test_non_contig_expand_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5404564Z test_non_contig_expand_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5404724Z test_non_contig_expand_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5404876Z test_non_contig_expand_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5405034Z test_non_contig_expand_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5405190Z test_non_contig_expand_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5405344Z test_non_contig_expand_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5405531Z test_non_contig_expand_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5405683Z test_non_contig_expand_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5405822Z test_non_contig_expand_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5405970Z test_non_contig_expand_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5406124Z test_non_contig_expand_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5406308Z test_non_contig_expand_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5406460Z test_non_contig_expand_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5406610Z test_non_contig_expand_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5406765Z test_non_contig_expand_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5406914Z test_non_contig_expand_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5407177Z test_non_contig_expand_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5407393Z test_non_contig_expand_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5407551Z test_non_contig_expand_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5407705Z test_non_contig_expand_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5407856Z test_non_contig_expand_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5408003Z test_non_contig_expand_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5408156Z test_non_contig_expand_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5408308Z test_non_contig_expand_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5408466Z test_non_contig_expand_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5408616Z test_non_contig_expand_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5408767Z test_non_contig_expand_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5408917Z test_non_contig_expand_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5409069Z test_non_contig_expand_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5409219Z test_non_contig_expand_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5409365Z test_non_contig_expand_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5409515Z test_non_contig_expand_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5409660Z test_non_contig_expand_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5409796Z test_non_contig_expand_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5409987Z test_non_contig_expand_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5410172Z test_non_contig_expand_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5410371Z test_non_contig_expand_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5410562Z test_non_contig_expand_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5410746Z test_non_contig_expand_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5410984Z test_non_contig_expand_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5411167Z test_non_contig_expand_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5411347Z test_non_contig_expand_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5411522Z test_non_contig_expand_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5411725Z test_non_contig_expand_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5411907Z test_non_contig_expand_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5412094Z test_non_contig_expand_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5412295Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5412490Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5412693Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5412895Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5413089Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5413284Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5413480Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5413665Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5413858Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5414045Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5414237Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5414421Z test_non_contig_expand_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5414571Z test_non_contig_expand_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5414714Z test_non_contig_expand_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5414853Z test_non_contig_expand_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5415001Z test_non_contig_expand_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5415130Z test_non_contig_expand_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5415283Z test_non_contig_expand_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5415428Z test_non_contig_expand_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5415581Z test_non_contig_expand_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5415736Z test_non_contig_expand_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5415916Z test_non_contig_expand_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5416068Z test_non_contig_expand_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5416216Z test_non_contig_expand_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5416366Z test_non_contig_expand_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5416502Z test_non_contig_expand_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5416674Z test_non_contig_expand_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5416822Z test_non_contig_expand_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5416968Z test_non_contig_expand_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5417114Z test_non_contig_expand_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5417259Z test_non_contig_expand_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5417401Z test_non_contig_expand_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5417544Z test_non_contig_expand_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5417674Z test_non_contig_expand_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5417820Z test_non_contig_expand_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5417964Z test_non_contig_expand_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5418100Z test_non_contig_expand_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5418243Z test_non_contig_expand_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5418385Z test_non_contig_expand_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5418549Z test_non_contig_expand_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5418707Z test_non_contig_expand_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5418871Z test_non_contig_expand_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5419023Z test_non_contig_expand_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5419184Z test_non_contig_expand_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5419342Z test_non_contig_expand_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5419501Z test_non_contig_expand_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5419654Z test_non_contig_expand_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5419805Z test_non_contig_expand_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5419952Z test_non_contig_expand_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5420107Z test_non_contig_expand_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5420251Z test_non_contig_expand_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5420406Z test_non_contig_expand_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5420561Z test_non_contig_expand_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5420721Z test_non_contig_expand_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5420878Z test_non_contig_expand_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5421101Z test_non_contig_expand_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5421255Z test_non_contig_expand_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5421409Z test_non_contig_expand_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5421560Z test_non_contig_expand_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5421702Z test_non_contig_expand_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5421878Z test_non_contig_expand_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5422033Z test_non_contig_expand_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5422184Z test_non_contig_expand_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5422345Z test_non_contig_expand_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5422497Z test_non_contig_expand_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5422658Z test_non_contig_expand_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5422819Z test_non_contig_expand_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5422965Z test_non_contig_expand_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5423124Z test_non_contig_expand_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5423279Z test_non_contig_expand_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5423433Z test_non_contig_expand_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5423589Z test_non_contig_expand_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5423737Z test_non_contig_expand_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5423888Z test_non_contig_expand_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5424042Z test_non_contig_expand_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5424190Z test_non_contig_expand_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5424324Z test_non_contig_expand_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5424469Z test_non_contig_expand_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5424618Z test_non_contig_expand_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5424760Z test_non_contig_expand_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5424908Z test_non_contig_expand_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5425048Z test_non_contig_expand_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5425183Z test_non_contig_expand_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5425324Z test_non_contig_expand_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5425451Z test_non_contig_expand_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5425609Z test_non_contig_expand_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5425763Z test_non_contig_expand_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5425918Z test_non_contig_expand_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5426074Z test_non_contig_expand_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5426255Z test_non_contig_expand_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5426403Z test_non_contig_expand_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5426553Z test_non_contig_expand_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5426698Z test_non_contig_expand_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5426838Z test_non_contig_expand_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5427010Z test_non_contig_expand_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5427165Z test_non_contig_expand_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5427315Z test_non_contig_expand_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5427469Z test_non_contig_expand_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5427620Z test_non_contig_expand_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5427769Z test_non_contig_expand_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5427916Z test_non_contig_expand_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5428052Z test_non_contig_expand_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5428203Z test_non_contig_expand_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5428350Z test_non_contig_expand_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5428499Z test_non_contig_expand_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5428653Z test_non_contig_expand_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5428804Z test_non_contig_expand_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5428956Z test_non_contig_expand_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5429112Z test_non_contig_expand_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5429265Z test_non_contig_expand_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5429404Z test_non_contig_expand_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5429557Z test_non_contig_expand_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5429703Z test_non_contig_expand_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5429853Z test_non_contig_expand_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5430000Z test_non_contig_expand_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5430154Z test_non_contig_expand_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5430303Z test_non_contig_expand_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5430455Z test_non_contig_expand_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5430591Z test_non_contig_expand_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5430741Z test_non_contig_expand_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5430889Z test_non_contig_expand_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5431038Z test_non_contig_expand_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5431213Z test_non_contig_expand_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5431362Z test_non_contig_expand_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5431510Z test_non_contig_expand_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5431660Z test_non_contig_expand_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5431804Z test_non_contig_expand_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5431944Z test_non_contig_expand_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5432117Z test_non_contig_expand_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5432265Z test_non_contig_expand_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5432412Z test_non_contig_expand_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5432562Z test_non_contig_expand_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5432710Z test_non_contig_expand_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5432854Z test_non_contig_expand_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5432999Z test_non_contig_expand_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5433129Z test_non_contig_expand_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5433275Z test_non_contig_expand_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5433417Z test_non_contig_expand_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5433564Z test_non_contig_expand_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5433752Z test_non_contig_expand_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5433903Z test_non_contig_expand_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5434055Z test_non_contig_expand_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5434202Z test_non_contig_expand_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5434387Z test_non_contig_expand_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5434523Z test_non_contig_expand_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5434667Z test_non_contig_expand_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5434804Z test_non_contig_expand_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5434942Z test_non_contig_expand_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5435086Z test_non_contig_expand_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5435227Z test_non_contig_expand_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5435385Z test_non_contig_expand_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5435542Z test_non_contig_expand_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5435686Z test_non_contig_expand_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5435837Z test_non_contig_expand_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5435987Z test_non_contig_expand_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5436138Z test_non_contig_expand_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5436289Z test_non_contig_expand_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5436466Z test_non_contig_expand_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5436615Z test_non_contig_expand_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5436762Z test_non_contig_expand_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5436899Z test_non_contig_expand_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5437044Z test_non_contig_expand_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5437185Z test_non_contig_expand_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5437347Z test_non_contig_expand_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5437489Z test_non_contig_expand_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5437631Z test_non_contig_expand_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5437794Z test_non_contig_expand_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5437950Z test_non_contig_expand_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5438106Z test_non_contig_expand_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5438246Z test_non_contig_expand_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5438397Z test_non_contig_expand_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5438552Z test_non_contig_expand_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5438706Z test_non_contig_expand_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5438858Z test_non_contig_expand_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5439008Z test_non_contig_expand_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5439160Z test_non_contig_expand_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5439310Z test_non_contig_expand_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5439450Z test_non_contig_expand_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5439600Z test_non_contig_expand_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5439746Z test_non_contig_expand_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5439894Z test_non_contig_expand_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5440039Z test_non_contig_expand_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5440181Z test_non_contig_expand_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5440332Z test_non_contig_expand_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5440477Z test_non_contig_expand_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5440621Z test_non_contig_expand_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5440791Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5440973Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5441152Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5441331Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5441511Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5441716Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5441893Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5442068Z test_non_contig_expand_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5442245Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5442449Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5442625Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5442800Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5442976Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5443152Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5443329Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5443506Z test_non_contig_expand_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5443905Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5444273Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5444634Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5444983Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5445337Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5445693Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5446049Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5446400Z test_non_contig_expand_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5446754Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5447220Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5447658Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5448014Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5448368Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5448776Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5449132Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5449513Z test_non_contig_expand_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5449681Z test_non_contig_expand_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5449863Z test_non_contig_expand_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5450044Z test_non_contig_expand_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5450221Z test_non_contig_expand_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5450394Z test_non_contig_expand_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5450565Z test_non_contig_expand_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5450742Z test_non_contig_expand_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5450916Z test_non_contig_expand_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5451091Z test_non_contig_expand_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5451274Z test_non_contig_expand_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5451440Z test_non_contig_expand_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5451615Z test_non_contig_expand_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5451794Z test_non_contig_expand_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5451966Z test_non_contig_expand_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5452143Z test_non_contig_expand_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5452317Z test_non_contig_expand_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5452492Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5452673Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5452852Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5453014Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5453190Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5453365Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5453543Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5453718Z test_non_contig_expand_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5454117Z test_non_contig_expand_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5454477Z test_non_contig_expand_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5454832Z test_non_contig_expand_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5455215Z test_non_contig_expand_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5455575Z test_non_contig_expand_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5455933Z test_non_contig_expand_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5456273Z test_non_contig_expand_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5456624Z test_non_contig_expand_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5457002Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5457372Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5457747Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5458113Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5458483Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5458853Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5459219Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5459584Z test_non_contig_expand_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5459951Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5460323Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5460693Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5461054Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5461430Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5461798Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5462187Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5462556Z test_non_contig_expand_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5462912Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5463284Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5463644Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5464016Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5464378Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5464737Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5465103Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5465469Z test_non_contig_expand_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5465829Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5466188Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5466554Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5466916Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5467279Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5467647Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5468010Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5468399Z test_non_contig_expand_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5468565Z test_non_contig_expand_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5468728Z test_non_contig_expand_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5468892Z test_non_contig_expand_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5469077Z test_non_contig_expand_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5469236Z test_non_contig_expand_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5469384Z test_non_contig_expand_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5469546Z test_non_contig_expand_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5469706Z test_non_contig_expand_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5469867Z test_non_contig_expand_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5470030Z test_non_contig_expand_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5470188Z test_non_contig_expand_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5470352Z test_non_contig_expand_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5470512Z test_non_contig_expand_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5470660Z test_non_contig_expand_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5470818Z test_non_contig_expand_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5470975Z test_non_contig_expand_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5471129Z test_non_contig_expand_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5471280Z test_non_contig_expand_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5471428Z test_non_contig_expand_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5471586Z test_non_contig_expand_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5471739Z test_non_contig_expand_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5471888Z test_non_contig_expand_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5472026Z test_non_contig_expand_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5472176Z test_non_contig_expand_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5472323Z test_non_contig_expand_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5472466Z test_non_contig_expand_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5472612Z test_non_contig_expand_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5472752Z test_non_contig_expand_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5472899Z test_non_contig_expand_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5473038Z test_non_contig_expand_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5473186Z test_non_contig_expand_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5473368Z test_non_contig_expand_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5473533Z test_non_contig_expand_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5473692Z test_non_contig_expand_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5473848Z test_non_contig_expand_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5474005Z test_non_contig_expand_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5474185Z test_non_contig_expand_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5474342Z test_non_contig_expand_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5474495Z test_non_contig_expand_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5474633Z test_non_contig_expand_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5474790Z test_non_contig_expand_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5474944Z test_non_contig_expand_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5475096Z test_non_contig_expand_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5475246Z test_non_contig_expand_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5475397Z test_non_contig_expand_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5475549Z test_non_contig_expand_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5475695Z test_non_contig_expand_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5475829Z test_non_contig_expand_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5475978Z test_non_contig_expand_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5476129Z test_non_contig_expand_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5476277Z test_non_contig_expand_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5476423Z test_non_contig_expand_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5476570Z test_non_contig_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5476717Z test_non_contig_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5476869Z test_non_contig_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5477023Z test_non_contig_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5477160Z test_non_contig_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5477309Z test_non_contig_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5477454Z test_non_contig_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5477601Z test_non_contig_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5477746Z test_non_contig_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5477886Z test_non_contig_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5478035Z test_non_contig_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5478183Z test_non_contig_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5478341Z test_non_contig_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5478519Z test_non_contig_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5478665Z test_non_contig_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5478810Z test_non_contig_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5478956Z test_non_contig_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5479102Z test_non_contig_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5479247Z test_non_contig_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5479419Z test_non_contig_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5479567Z test_non_contig_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5479700Z test_non_contig_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5479843Z test_non_contig_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5479984Z test_non_contig_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5480125Z test_non_contig_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5480262Z test_non_contig_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5480398Z test_non_contig_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5480536Z test_non_contig_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5480676Z test_non_contig_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5480801Z test_non_contig_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5480939Z test_non_contig_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5481086Z test_non_contig_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5481223Z test_non_contig_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5481362Z test_non_contig_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5481501Z test_non_contig_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5481640Z test_non_contig_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5481778Z test_non_contig_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5481902Z test_non_contig_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5482035Z test_non_contig_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5482170Z test_non_contig_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5482308Z test_non_contig_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5482469Z test_non_contig_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5482606Z test_non_contig_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5482742Z test_non_contig_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5482881Z test_non_contig_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483005Z test_non_contig_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483142Z test_non_contig_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483281Z test_non_contig_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483418Z test_non_contig_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483553Z test_non_contig_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483717Z test_non_contig_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483854Z test_non_contig_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5483993Z test_non_contig_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5484119Z test_non_contig_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5484251Z test_non_contig_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5484394Z test_non_contig_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5484572Z test_non_contig_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5484710Z test_non_contig_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5484846Z test_non_contig_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5484986Z test_non_contig_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5485119Z test_non_contig_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5485243Z test_non_contig_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5485376Z test_non_contig_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5485511Z test_non_contig_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5485645Z test_non_contig_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5485784Z test_non_contig_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5485922Z test_non_contig_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5486059Z test_non_contig_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5486194Z test_non_contig_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5486333Z test_non_contig_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5486459Z test_non_contig_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5486590Z test_non_contig_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5486723Z test_non_contig_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5486860Z test_non_contig_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5487094Z test_non_contig_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5487247Z test_non_contig_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5487455Z test_non_contig_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5487606Z test_non_contig_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5487746Z test_non_contig_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5487888Z test_non_contig_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5488038Z test_non_contig_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5488180Z test_non_contig_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5488320Z test_non_contig_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5488463Z test_non_contig_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5488610Z test_non_contig_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5488754Z test_non_contig_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5488886Z test_non_contig_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5489078Z test_non_contig_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5489224Z test_non_contig_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5489367Z test_non_contig_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5489506Z test_non_contig_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5489644Z test_non_contig_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5489791Z test_non_contig_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5489971Z test_non_contig_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5490101Z test_non_contig_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5490248Z test_non_contig_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5490400Z test_non_contig_index___radd___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.170s) 2022-12-01T10:52:10.5490550Z test_non_contig_index___radd___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5490705Z test_non_contig_index___radd___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5490857Z test_non_contig_index___radd___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5491006Z test_non_contig_index___radd___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5491153Z test_non_contig_index___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5491300Z test_non_contig_index___radd___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5491436Z test_non_contig_index___radd___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5491584Z test_non_contig_index___radd___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5491728Z test_non_contig_index___radd___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5491876Z test_non_contig_index___radd___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5492017Z test_non_contig_index___radd___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5492166Z test_non_contig_index___rand___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5492306Z test_non_contig_index___rand___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5492447Z test_non_contig_index___rand___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5492581Z test_non_contig_index___rand___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5492729Z test_non_contig_index___rand___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5492876Z test_non_contig_index___rand___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5493027Z test_non_contig_index___rdiv___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5493174Z test_non_contig_index___rdiv___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5493329Z test_non_contig_index___rdiv___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5493481Z test_non_contig_index___rdiv___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5493628Z test_non_contig_index___rdiv___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5493778Z test_non_contig_index___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5493916Z test_non_contig_index___rdiv___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5494060Z test_non_contig_index___rdiv___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5494235Z test_non_contig_index___rdiv___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5494378Z test_non_contig_index___rdiv___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5494524Z test_non_contig_index___rdiv___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5494667Z test_non_contig_index___rdiv___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5494815Z test_non_contig_index___rmod___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5494988Z test_non_contig_index___rmod___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5495125Z test_non_contig_index___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5495268Z test_non_contig_index___rmod___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5495420Z test_non_contig_index___rmul___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5495567Z test_non_contig_index___rmul___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5495722Z test_non_contig_index___rmul___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5495875Z test_non_contig_index___rmul___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5496025Z test_non_contig_index___rmul___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5496173Z test_non_contig_index___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5496319Z test_non_contig_index___rmul___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5496452Z test_non_contig_index___rmul___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5496597Z test_non_contig_index___rmul___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5496742Z test_non_contig_index___rmul___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5496888Z test_non_contig_index___rmul___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5497030Z test_non_contig_index___rmul___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5497173Z test_non_contig_index___ror___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5497318Z test_non_contig_index___ror___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5497462Z test_non_contig_index___ror___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5497591Z test_non_contig_index___ror___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5497736Z test_non_contig_index___ror___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5497879Z test_non_contig_index___ror___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5498525Z test_non_contig_index___rpow___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.5498663Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.5498729Z ok (0.002s) 2022-12-01T10:52:10.5498884Z test_non_contig_index___rpow___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5499038Z test_non_contig_index___rpow___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5499186Z test_non_contig_index___rpow___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5499322Z test_non_contig_index___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5499497Z test_non_contig_index___rpow___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5499644Z test_non_contig_index___rpow___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5499788Z test_non_contig_index___rpow___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5499934Z test_non_contig_index___rpow___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5500078Z test_non_contig_index___rpow___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5500246Z test_non_contig_index___rpow___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5500399Z test_non_contig_index___rsub___cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5500551Z test_non_contig_index___rsub___cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5500693Z test_non_contig_index___rsub___cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5500839Z test_non_contig_index___rsub___cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5500988Z test_non_contig_index___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5501137Z test_non_contig_index___rsub___cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5501280Z test_non_contig_index___rsub___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5501422Z test_non_contig_index___rsub___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5501562Z test_non_contig_index___rsub___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5501708Z test_non_contig_index___rsub___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5501841Z test_non_contig_index___rsub___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5501987Z test_non_contig_index___rxor___cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5502132Z test_non_contig_index___rxor___cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5502273Z test_non_contig_index___rxor___cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5502412Z test_non_contig_index___rxor___cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5502559Z test_non_contig_index___rxor___cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5502704Z test_non_contig_index___rxor___cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5502855Z test_non_contig_index_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5502999Z test_non_contig_index_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5503136Z test_non_contig_index_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5503288Z test_non_contig_index_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5503437Z test_non_contig_index_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5503584Z test_non_contig_index_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5503731Z test_non_contig_index_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5503872Z test_non_contig_index_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5504018Z test_non_contig_index_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5504157Z test_non_contig_index_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5504284Z test_non_contig_index_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5504455Z test_non_contig_index_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5504592Z test_non_contig_index_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5504741Z test_non_contig_index_atan2_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5504886Z test_non_contig_index_atan2_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5505028Z test_non_contig_index_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5505176Z test_non_contig_index_atan2_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5505374Z test_non_contig_index_atan2_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5505506Z test_non_contig_index_atan2_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5505653Z test_non_contig_index_atan2_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5505802Z test_non_contig_index_atan2_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5505945Z test_non_contig_index_atan2_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5506098Z test_non_contig_index_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5506250Z test_non_contig_index_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5506400Z test_non_contig_index_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5506549Z test_non_contig_index_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5506702Z test_non_contig_index_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5506841Z test_non_contig_index_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5507002Z test_non_contig_index_bitwise_left_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5507162Z test_non_contig_index_bitwise_left_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5507316Z test_non_contig_index_bitwise_left_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5507474Z test_non_contig_index_bitwise_left_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5507628Z test_non_contig_index_bitwise_left_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5507781Z test_non_contig_index_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5507934Z test_non_contig_index_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5508074Z test_non_contig_index_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5508219Z test_non_contig_index_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5508370Z test_non_contig_index_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5508522Z test_non_contig_index_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5508685Z test_non_contig_index_bitwise_right_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5508845Z test_non_contig_index_bitwise_right_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5508999Z test_non_contig_index_bitwise_right_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5509160Z test_non_contig_index_bitwise_right_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5509324Z test_non_contig_index_bitwise_right_shift_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5509462Z test_non_contig_index_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5509641Z test_non_contig_index_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5509792Z test_non_contig_index_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5509940Z test_non_contig_index_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5510086Z test_non_contig_index_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5510237Z test_non_contig_index_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5510417Z test_non_contig_index_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5510568Z test_non_contig_index_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5510718Z test_non_contig_index_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5510863Z test_non_contig_index_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5511015Z test_non_contig_index_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5511165Z test_non_contig_index_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5511313Z test_non_contig_index_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5511456Z test_non_contig_index_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5511605Z test_non_contig_index_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5511754Z test_non_contig_index_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5511904Z test_non_contig_index_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5512041Z test_non_contig_index_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5512194Z test_non_contig_index_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5512346Z test_non_contig_index_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5512497Z test_non_contig_index_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5512642Z test_non_contig_index_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5512789Z test_non_contig_index_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5512935Z test_non_contig_index_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5513081Z test_non_contig_index_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5513228Z test_non_contig_index_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5513365Z test_non_contig_index_complex_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5513509Z test_non_contig_index_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5513655Z test_non_contig_index_complex_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5513809Z test_non_contig_index_copysign_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5513957Z test_non_contig_index_copysign_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5514109Z test_non_contig_index_copysign_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5514257Z test_non_contig_index_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5514408Z test_non_contig_index_copysign_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5514546Z test_non_contig_index_copysign_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5514722Z test_non_contig_index_copysign_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5514870Z test_non_contig_index_copysign_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5515021Z test_non_contig_index_copysign_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5515171Z test_non_contig_index_copysign_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5515339Z test_non_contig_index_div_floor_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5515526Z test_non_contig_index_div_floor_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5515686Z test_non_contig_index_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5515843Z test_non_contig_index_div_floor_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5515995Z test_non_contig_index_div_floor_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5516156Z test_non_contig_index_div_floor_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5516313Z test_non_contig_index_div_floor_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5516473Z test_non_contig_index_div_floor_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5516627Z test_non_contig_index_div_floor_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5516793Z test_non_contig_index_div_no_rounding_mode_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5516954Z test_non_contig_index_div_no_rounding_mode_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5517122Z test_non_contig_index_div_no_rounding_mode_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5517294Z test_non_contig_index_div_no_rounding_mode_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5517448Z test_non_contig_index_div_no_rounding_mode_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5517614Z test_non_contig_index_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5517777Z test_non_contig_index_div_no_rounding_mode_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5517937Z test_non_contig_index_div_no_rounding_mode_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5518094Z test_non_contig_index_div_no_rounding_mode_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5518248Z test_non_contig_index_div_no_rounding_mode_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5518407Z test_non_contig_index_div_no_rounding_mode_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5518570Z test_non_contig_index_div_no_rounding_mode_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5518736Z test_non_contig_index_div_trunc_rounding_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5518889Z test_non_contig_index_div_trunc_rounding_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5519048Z test_non_contig_index_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5519206Z test_non_contig_index_div_trunc_rounding_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5519365Z test_non_contig_index_div_trunc_rounding_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5519524Z test_non_contig_index_div_trunc_rounding_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5519677Z test_non_contig_index_div_trunc_rounding_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5519865Z test_non_contig_index_div_trunc_rounding_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5520018Z test_non_contig_index_div_trunc_rounding_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5520165Z test_non_contig_index_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5520298Z test_non_contig_index_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5520448Z test_non_contig_index_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5520635Z test_non_contig_index_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5520787Z test_non_contig_index_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5520930Z test_non_contig_index_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5521070Z test_non_contig_index_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5521207Z test_non_contig_index_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5521349Z test_non_contig_index_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5521475Z test_non_contig_index_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5521609Z test_non_contig_index_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5521749Z test_non_contig_index_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5521894Z test_non_contig_index_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5522051Z test_non_contig_index_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5522204Z test_non_contig_index_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5522365Z test_non_contig_index_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5522527Z test_non_contig_index_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5522671Z test_non_contig_index_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5522825Z test_non_contig_index_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5522977Z test_non_contig_index_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5523129Z test_non_contig_index_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5523280Z test_non_contig_index_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5523430Z test_non_contig_index_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5523580Z test_non_contig_index_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5523731Z test_non_contig_index_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5523906Z test_non_contig_index_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5524052Z test_non_contig_index_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5524208Z test_non_contig_index_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5524363Z test_non_contig_index_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5524516Z test_non_contig_index_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5524667Z test_non_contig_index_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5524859Z test_non_contig_index_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5525010Z test_non_contig_index_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5525159Z test_non_contig_index_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5525307Z test_non_contig_index_fmax_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5525442Z test_non_contig_index_fmax_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5525589Z test_non_contig_index_fmax_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5525762Z test_non_contig_index_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5525910Z test_non_contig_index_fmax_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5526054Z test_non_contig_index_fmax_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5526195Z test_non_contig_index_fmax_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5526338Z test_non_contig_index_fmax_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5526480Z test_non_contig_index_fmax_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5526611Z test_non_contig_index_fmax_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5526760Z test_non_contig_index_fmin_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5526903Z test_non_contig_index_fmin_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5527179Z test_non_contig_index_fmin_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5527421Z test_non_contig_index_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5527568Z test_non_contig_index_fmin_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5527714Z test_non_contig_index_fmin_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5527853Z test_non_contig_index_fmin_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5527979Z test_non_contig_index_fmin_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5528123Z test_non_contig_index_fmin_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5528264Z test_non_contig_index_fmin_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5528408Z test_non_contig_index_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5528554Z test_non_contig_index_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5528697Z test_non_contig_index_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5528842Z test_non_contig_index_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5528988Z test_non_contig_index_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5529128Z test_non_contig_index_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5529254Z test_non_contig_index_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5529396Z test_non_contig_index_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5529534Z test_non_contig_index_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5529680Z test_non_contig_index_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5529823Z test_non_contig_index_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5529961Z test_non_contig_index_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5530103Z test_non_contig_index_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5530300Z test_non_contig_index_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5530435Z test_non_contig_index_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5530576Z test_non_contig_index_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5530717Z test_non_contig_index_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5530857Z test_non_contig_index_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5531029Z test_non_contig_index_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5531172Z test_non_contig_index_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5531309Z test_non_contig_index_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5531453Z test_non_contig_index_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5531587Z test_non_contig_index_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5531731Z test_non_contig_index_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5531878Z test_non_contig_index_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5532022Z test_non_contig_index_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5532165Z test_non_contig_index_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5532304Z test_non_contig_index_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5532440Z test_non_contig_index_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5532579Z test_non_contig_index_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5532707Z test_non_contig_index_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5532839Z test_non_contig_index_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5532977Z test_non_contig_index_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5533118Z test_non_contig_index_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5533274Z test_non_contig_index_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5533425Z test_non_contig_index_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5533582Z test_non_contig_index_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5533733Z test_non_contig_index_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5533883Z test_non_contig_index_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5534023Z test_non_contig_index_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5534174Z test_non_contig_index_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5534319Z test_non_contig_index_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5534471Z test_non_contig_index_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5534619Z test_non_contig_index_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5534765Z test_non_contig_index_hypot_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5534913Z test_non_contig_index_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5535060Z test_non_contig_index_hypot_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5535196Z test_non_contig_index_igamma_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5535371Z test_non_contig_index_igamma_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5535520Z test_non_contig_index_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5535664Z test_non_contig_index_igamma_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5535817Z test_non_contig_index_igammac_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5535967Z test_non_contig_index_igammac_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5536138Z test_non_contig_index_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5536284Z test_non_contig_index_igammac_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5536435Z test_non_contig_index_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5536574Z test_non_contig_index_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5536727Z test_non_contig_index_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5536879Z test_non_contig_index_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5537026Z test_non_contig_index_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5537172Z test_non_contig_index_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5537313Z test_non_contig_index_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5537464Z test_non_contig_index_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5537610Z test_non_contig_index_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5537749Z test_non_contig_index_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5537897Z test_non_contig_index_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5538043Z test_non_contig_index_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5538231Z test_non_contig_index_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5538417Z test_non_contig_index_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5538605Z test_non_contig_index_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5538794Z test_non_contig_index_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5538976Z test_non_contig_index_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5539159Z test_non_contig_index_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5539343Z test_non_contig_index_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5539511Z test_non_contig_index_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5539683Z test_non_contig_index_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5539859Z test_non_contig_index_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5540036Z test_non_contig_index_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5540211Z test_non_contig_index_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5540436Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5540631Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5540829Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5541031Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5541254Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5541441Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5541636Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5541831Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5542021Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5542208Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5542399Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5542583Z test_non_contig_index_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5542728Z test_non_contig_index_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5542872Z test_non_contig_index_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5543000Z test_non_contig_index_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5543142Z test_non_contig_index_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5543282Z test_non_contig_index_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5543435Z test_non_contig_index_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5543585Z test_non_contig_index_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5543742Z test_non_contig_index_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5543892Z test_non_contig_index_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5544040Z test_non_contig_index_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5544190Z test_non_contig_index_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5544323Z test_non_contig_index_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5544474Z test_non_contig_index_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5544619Z test_non_contig_index_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5544764Z test_non_contig_index_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5544913Z test_non_contig_index_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5545058Z test_non_contig_index_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5545203Z test_non_contig_index_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5545346Z test_non_contig_index_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5545510Z test_non_contig_index_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5545651Z test_non_contig_index_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5545796Z test_non_contig_index_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5545940Z test_non_contig_index_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5546079Z test_non_contig_index_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5546243Z test_non_contig_index_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5546386Z test_non_contig_index_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5546521Z test_non_contig_index_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5546670Z test_non_contig_index_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5546827Z test_non_contig_index_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5546989Z test_non_contig_index_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5547149Z test_non_contig_index_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5547305Z test_non_contig_index_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5547461Z test_non_contig_index_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5547619Z test_non_contig_index_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5547770Z test_non_contig_index_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5547921Z test_non_contig_index_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5548061Z test_non_contig_index_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5548213Z test_non_contig_index_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5548367Z test_non_contig_index_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5548525Z test_non_contig_index_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5548674Z test_non_contig_index_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5548836Z test_non_contig_index_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5548990Z test_non_contig_index_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5549143Z test_non_contig_index_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5549297Z test_non_contig_index_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5549435Z test_non_contig_index_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5549587Z test_non_contig_index_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5549740Z test_non_contig_index_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5549890Z test_non_contig_index_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5550039Z test_non_contig_index_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5550189Z test_non_contig_index_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5550350Z test_non_contig_index_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5550496Z test_non_contig_index_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5550677Z test_non_contig_index_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5550840Z test_non_contig_index_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5550994Z test_non_contig_index_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5551149Z test_non_contig_index_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5551306Z test_non_contig_index_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5551480Z test_non_contig_index_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5551635Z test_non_contig_index_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5551783Z test_non_contig_index_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5551938Z test_non_contig_index_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5552082Z test_non_contig_index_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5552228Z test_non_contig_index_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5552371Z test_non_contig_index_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5552516Z test_non_contig_index_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5552660Z test_non_contig_index_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5552804Z test_non_contig_index_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5552949Z test_non_contig_index_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5553093Z test_non_contig_index_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5553224Z test_non_contig_index_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5553364Z test_non_contig_index_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5553506Z test_non_contig_index_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5553662Z test_non_contig_index_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5553812Z test_non_contig_index_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5553966Z test_non_contig_index_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5554120Z test_non_contig_index_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5554271Z test_non_contig_index_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5554418Z test_non_contig_index_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5554568Z test_non_contig_index_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5554715Z test_non_contig_index_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5554864Z test_non_contig_index_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5555015Z test_non_contig_index_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5555164Z test_non_contig_index_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5555317Z test_non_contig_index_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5555465Z test_non_contig_index_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5555615Z test_non_contig_index_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5555783Z test_non_contig_index_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5555932Z test_non_contig_index_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5556081Z test_non_contig_index_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5556230Z test_non_contig_index_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5556375Z test_non_contig_index_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5556563Z test_non_contig_index_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5556720Z test_non_contig_index_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5556870Z test_non_contig_index_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5557015Z test_non_contig_index_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5557167Z test_non_contig_index_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5557319Z test_non_contig_index_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5557466Z test_non_contig_index_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5557614Z test_non_contig_index_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5557761Z test_non_contig_index_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5557911Z test_non_contig_index_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5558060Z test_non_contig_index_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5558209Z test_non_contig_index_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5558344Z test_non_contig_index_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5558492Z test_non_contig_index_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5558640Z test_non_contig_index_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5558788Z test_non_contig_index_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5558935Z test_non_contig_index_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5559085Z test_non_contig_index_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5559232Z test_non_contig_index_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5559378Z test_non_contig_index_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5559518Z test_non_contig_index_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5559665Z test_non_contig_index_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5559808Z test_non_contig_index_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5559957Z test_non_contig_index_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5560107Z test_non_contig_index_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5560253Z test_non_contig_index_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5560401Z test_non_contig_index_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5560552Z test_non_contig_index_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5560698Z test_non_contig_index_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5560861Z test_non_contig_index_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5561004Z test_non_contig_index_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5561139Z test_non_contig_index_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5561279Z test_non_contig_index_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5561418Z test_non_contig_index_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5561563Z test_non_contig_index_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5561732Z test_non_contig_index_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5561883Z test_non_contig_index_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5562020Z test_non_contig_index_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5562167Z test_non_contig_index_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5562308Z test_non_contig_index_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5562449Z test_non_contig_index_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5562591Z test_non_contig_index_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5562729Z test_non_contig_index_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5562864Z test_non_contig_index_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5563007Z test_non_contig_index_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5563132Z test_non_contig_index_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5563287Z test_non_contig_index_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5563441Z test_non_contig_index_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5563594Z test_non_contig_index_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5563742Z test_non_contig_index_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5563892Z test_non_contig_index_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5564036Z test_non_contig_index_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5564187Z test_non_contig_index_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5564341Z test_non_contig_index_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5564475Z test_non_contig_index_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5564621Z test_non_contig_index_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5564761Z test_non_contig_index_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5564906Z test_non_contig_index_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5565047Z test_non_contig_index_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5565184Z test_non_contig_index_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5565327Z test_non_contig_index_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5565469Z test_non_contig_index_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5565613Z test_non_contig_index_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5565766Z test_non_contig_index_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5565918Z test_non_contig_index_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5566104Z test_non_contig_index_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5566255Z test_non_contig_index_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5566404Z test_non_contig_index_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5566556Z test_non_contig_index_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5566705Z test_non_contig_index_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5566886Z test_non_contig_index_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5567146Z test_non_contig_index_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5567356Z test_non_contig_index_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5567511Z test_non_contig_index_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5567659Z test_non_contig_index_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5567804Z test_non_contig_index_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5567948Z test_non_contig_index_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5568094Z test_non_contig_index_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5568232Z test_non_contig_index_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5568360Z test_non_contig_index_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5568500Z test_non_contig_index_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5568638Z test_non_contig_index_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5568820Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5569002Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5569178Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5569354Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5569532Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5569709Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5569871Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5570046Z test_non_contig_index_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5570219Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5570396Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5570575Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5570750Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5570926Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5571098Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5571270Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5571485Z test_non_contig_index_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5571877Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5572242Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5572635Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5572996Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5573353Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5573708Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5574057Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5574414Z test_non_contig_index_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5574770Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5575127Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5575483Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5575834Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5576178Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5576529Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5576883Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5577228Z test_non_contig_index_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5577410Z test_non_contig_index_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5577588Z test_non_contig_index_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5577763Z test_non_contig_index_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5577937Z test_non_contig_index_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5578109Z test_non_contig_index_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5578312Z test_non_contig_index_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5578474Z test_non_contig_index_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5578643Z test_non_contig_index_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5578813Z test_non_contig_index_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5579014Z test_non_contig_index_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5579191Z test_non_contig_index_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5579368Z test_non_contig_index_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5579540Z test_non_contig_index_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5579709Z test_non_contig_index_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5579880Z test_non_contig_index_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5580054Z test_non_contig_index_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5580219Z test_non_contig_index_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5580394Z test_non_contig_index_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5580569Z test_non_contig_index_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5580742Z test_non_contig_index_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5580913Z test_non_contig_index_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5581083Z test_non_contig_index_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5581256Z test_non_contig_index_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5581429Z test_non_contig_index_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5581789Z test_non_contig_index_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5582137Z test_non_contig_index_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5582497Z test_non_contig_index_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5582854Z test_non_contig_index_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5583205Z test_non_contig_index_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5583560Z test_non_contig_index_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5583909Z test_non_contig_index_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5584295Z test_non_contig_index_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5584662Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5585032Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5585421Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5585788Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5586151Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5586521Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5586888Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5587238Z test_non_contig_index_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5587610Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5587978Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5588350Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5588715Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5589070Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5589424Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5589790Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5590152Z test_non_contig_index_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5590514Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5590886Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5591313Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5591670Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5592023Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5592402Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5592763Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5593130Z test_non_contig_index_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5593491Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5593857Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5594219Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5594576Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5594930Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5595289Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5595645Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5596002Z test_non_contig_index_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5596172Z test_non_contig_index_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5596324Z test_non_contig_index_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5596489Z test_non_contig_index_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5596645Z test_non_contig_index_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5596798Z test_non_contig_index_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5596957Z test_non_contig_index_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5597117Z test_non_contig_index_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5597278Z test_non_contig_index_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5597435Z test_non_contig_index_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5597621Z test_non_contig_index_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5597765Z test_non_contig_index_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5597922Z test_non_contig_index_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5598079Z test_non_contig_index_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5598236Z test_non_contig_index_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5598391Z test_non_contig_index_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5598587Z test_non_contig_index_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5598744Z test_non_contig_index_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5598895Z test_non_contig_index_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5599046Z test_non_contig_index_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5599185Z test_non_contig_index_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5599336Z test_non_contig_index_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5599485Z test_non_contig_index_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5599627Z test_non_contig_index_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5599777Z test_non_contig_index_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5599922Z test_non_contig_index_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5600065Z test_non_contig_index_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5600205Z test_non_contig_index_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5600330Z test_non_contig_index_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5600473Z test_non_contig_index_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5600611Z test_non_contig_index_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5600770Z test_non_contig_index_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5600921Z test_non_contig_index_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5601085Z test_non_contig_index_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5601247Z test_non_contig_index_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5601401Z test_non_contig_index_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5601546Z test_non_contig_index_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5601703Z test_non_contig_index_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5601855Z test_non_contig_index_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5602004Z test_non_contig_index_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5602150Z test_non_contig_index_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5602304Z test_non_contig_index_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5602459Z test_non_contig_index_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5602610Z test_non_contig_index_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5602786Z test_non_contig_index_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5602925Z test_non_contig_index_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5603073Z test_non_contig_index_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5603215Z test_non_contig_index_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5603363Z test_non_contig_index_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5603509Z test_non_contig_index_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5603681Z test_non_contig_index_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5603829Z test_non_contig_index_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5603972Z test_non_contig_index_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5604106Z test_non_contig_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5604250Z test_non_contig_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5604398Z test_non_contig_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5604547Z test_non_contig_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5604691Z test_non_contig_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5604831Z test_non_contig_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5604971Z test_non_contig_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5605112Z test_non_contig_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5605251Z test_non_contig_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5605378Z test_non_contig_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5605517Z test_non_contig_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5605658Z test_non_contig_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5605840Z test_non_contig_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5606018Z test_non_contig_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5606201Z test_non_contig_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5606380Z test_non_contig_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5606558Z test_non_contig_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5606732Z test_non_contig_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5606890Z test_non_contig_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5607185Z test_non_contig_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5607424Z test_non_contig_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5607602Z test_non_contig_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5607776Z test_non_contig_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5607945Z test_non_contig_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5608191Z test_non_contig_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5608377Z test_non_contig_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5608569Z test_non_contig_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5608747Z test_non_contig_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5608967Z test_non_contig_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5609156Z test_non_contig_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5609349Z test_non_contig_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5609537Z test_non_contig_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5609719Z test_non_contig_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5609904Z test_non_contig_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:52:10.5610089Z test_non_contig_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5610274Z test_non_contig_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5610413Z test_non_contig_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5610543Z test_non_contig_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5610680Z test_non_contig_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5610819Z test_non_contig_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5610953Z test_non_contig_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5611100Z test_non_contig_ldexp_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5611241Z test_non_contig_ldexp_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5611391Z test_non_contig_ldexp_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5611539Z test_non_contig_ldexp_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5611670Z test_non_contig_ldexp_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5611813Z test_non_contig_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5611965Z test_non_contig_ldexp_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5612187Z test_non_contig_ldexp_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5612335Z test_non_contig_ldexp_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5612476Z test_non_contig_ldexp_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5612615Z test_non_contig_ldexp_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5612754Z test_non_contig_ldexp_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5612934Z test_non_contig_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5613091Z test_non_contig_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5613230Z test_non_contig_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5613401Z test_non_contig_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5613540Z test_non_contig_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5613707Z test_non_contig_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5613873Z test_non_contig_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5614005Z test_non_contig_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5614128Z test_non_contig_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5614291Z test_non_contig_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5614444Z test_non_contig_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5614591Z test_non_contig_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5614814Z test_non_contig_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5614969Z test_non_contig_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5615117Z test_non_contig_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5615265Z test_non_contig_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5615411Z test_non_contig_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5615547Z test_non_contig_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5615695Z test_non_contig_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5615840Z test_non_contig_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5615985Z test_non_contig_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5616199Z test_non_contig_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5616349Z test_non_contig_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5616493Z test_non_contig_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5616644Z test_non_contig_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5616784Z test_non_contig_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5616929Z test_non_contig_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5617078Z test_non_contig_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5617222Z test_non_contig_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5617374Z test_non_contig_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5617518Z test_non_contig_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5617665Z test_non_contig_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5617797Z test_non_contig_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5617942Z test_non_contig_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5618092Z test_non_contig_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5618263Z test_non_contig_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5618459Z test_non_contig_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5618614Z test_non_contig_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5618762Z test_non_contig_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5618944Z test_non_contig_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5619081Z test_non_contig_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5619229Z test_non_contig_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5619371Z test_non_contig_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5619515Z test_non_contig_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5619685Z test_non_contig_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5619830Z test_non_contig_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5619968Z test_non_contig_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5620110Z test_non_contig_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5620238Z test_non_contig_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5620378Z test_non_contig_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5620516Z test_non_contig_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5620656Z test_non_contig_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5620791Z test_non_contig_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5620925Z test_non_contig_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5621061Z test_non_contig_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5621196Z test_non_contig_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5621347Z test_non_contig_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5621483Z test_non_contig_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5621632Z test_non_contig_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5621776Z test_non_contig_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5621919Z test_non_contig_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5622105Z test_non_contig_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5622267Z test_non_contig_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5622409Z test_non_contig_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5622553Z test_non_contig_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5622685Z test_non_contig_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5622828Z test_non_contig_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5622971Z test_non_contig_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5623115Z test_non_contig_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5623254Z test_non_contig_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5623400Z test_non_contig_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5623544Z test_non_contig_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5623685Z test_non_contig_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5623810Z test_non_contig_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5623950Z test_non_contig_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5624126Z test_non_contig_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5624276Z test_non_contig_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5624420Z test_non_contig_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5624570Z test_non_contig_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5624718Z test_non_contig_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5624864Z test_non_contig_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5625023Z test_non_contig_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5625166Z test_non_contig_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5625302Z test_non_contig_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5625446Z test_non_contig_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5625585Z test_non_contig_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5625723Z test_non_contig_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5625864Z test_non_contig_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626009Z test_non_contig_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626152Z test_non_contig_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626280Z test_non_contig_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626422Z test_non_contig_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626561Z test_non_contig_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626703Z test_non_contig_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626845Z test_non_contig_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5626987Z test_non_contig_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5627129Z test_non_contig_mul_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5627265Z test_non_contig_mul_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5627398Z test_non_contig_mul_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5627542Z test_non_contig_mul_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5627679Z test_non_contig_mul_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5627820Z test_non_contig_mul_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5627962Z test_non_contig_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5628100Z test_non_contig_mul_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5628237Z test_non_contig_mul_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5628375Z test_non_contig_mul_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5628500Z test_non_contig_mul_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5628636Z test_non_contig_mul_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5628773Z test_non_contig_mul_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5628912Z test_non_contig_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5629047Z test_non_contig_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5629221Z test_non_contig_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5629364Z test_non_contig_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5629503Z test_non_contig_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5629631Z test_non_contig_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5629769Z test_non_contig_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5629904Z test_non_contig_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5630066Z test_non_contig_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5630204Z test_non_contig_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5630338Z test_non_contig_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5630468Z test_non_contig_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5630619Z test_non_contig_nextafter_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5630756Z test_non_contig_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5630901Z test_non_contig_nextafter_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5631045Z test_non_contig_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5631184Z test_non_contig_polar_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5631323Z test_non_contig_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5631470Z test_non_contig_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5631613Z test_non_contig_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5631754Z test_non_contig_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5631898Z test_non_contig_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5632027Z test_non_contig_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5632163Z test_non_contig_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5632298Z test_non_contig_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5632433Z test_non_contig_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5632569Z test_non_contig_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5632708Z test_non_contig_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5632875Z test_non_contig_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5633024Z test_non_contig_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5633162Z test_non_contig_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5633306Z test_non_contig_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5633450Z test_non_contig_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5633592Z test_non_contig_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5633731Z test_non_contig_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5633874Z test_non_contig_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5634016Z test_non_contig_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5634157Z test_non_contig_rsub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5634291Z test_non_contig_rsub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5634465Z test_non_contig_rsub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5634607Z test_non_contig_rsub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5634746Z test_non_contig_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5634886Z test_non_contig_rsub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5635024Z test_non_contig_rsub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5635165Z test_non_contig_rsub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5635343Z test_non_contig_rsub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5635470Z test_non_contig_rsub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5635634Z test_non_contig_rsub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5635808Z test_non_contig_special_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5635982Z test_non_contig_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5636157Z test_non_contig_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5636326Z test_non_contig_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5636496Z test_non_contig_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5636668Z test_non_contig_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5636839Z test_non_contig_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5636998Z test_non_contig_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5637171Z test_non_contig_special_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5637343Z test_non_contig_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5637510Z test_non_contig_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5637674Z test_non_contig_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5637841Z test_non_contig_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5638013Z test_non_contig_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5638182Z test_non_contig_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5638350Z test_non_contig_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5638721Z test_non_contig_special_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5639072Z test_non_contig_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5639425Z test_non_contig_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5639777Z test_non_contig_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5640125Z test_non_contig_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5640501Z test_non_contig_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5640841Z test_non_contig_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5641184Z test_non_contig_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5641552Z test_non_contig_special_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5641900Z test_non_contig_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5642253Z test_non_contig_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5642594Z test_non_contig_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5642929Z test_non_contig_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5643261Z test_non_contig_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5643604Z test_non_contig_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5643947Z test_non_contig_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5644120Z test_non_contig_special_hermite_polynomial_h_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5644290Z test_non_contig_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5644460Z test_non_contig_special_hermite_polynomial_h_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5644629Z test_non_contig_special_hermite_polynomial_h_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5644800Z test_non_contig_special_hermite_polynomial_h_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5644967Z test_non_contig_special_hermite_polynomial_h_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5645133Z test_non_contig_special_hermite_polynomial_h_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5645288Z test_non_contig_special_hermite_polynomial_h_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5645450Z test_non_contig_special_hermite_polynomial_he_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5645624Z test_non_contig_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5645794Z test_non_contig_special_hermite_polynomial_he_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5645964Z test_non_contig_special_hermite_polynomial_he_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5646134Z test_non_contig_special_hermite_polynomial_he_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5646298Z test_non_contig_special_hermite_polynomial_he_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5646494Z test_non_contig_special_hermite_polynomial_he_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5646660Z test_non_contig_special_hermite_polynomial_he_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5646817Z test_non_contig_special_laguerre_polynomial_l_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5647141Z test_non_contig_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5647377Z test_non_contig_special_laguerre_polynomial_l_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5647607Z test_non_contig_special_laguerre_polynomial_l_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5647777Z test_non_contig_special_laguerre_polynomial_l_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5647949Z test_non_contig_special_laguerre_polynomial_l_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5648120Z test_non_contig_special_laguerre_polynomial_l_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5648288Z test_non_contig_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5648647Z test_non_contig_special_legendre_polynomial_p_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5648986Z test_non_contig_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5649340Z test_non_contig_special_legendre_polynomial_p_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5649687Z test_non_contig_special_legendre_polynomial_p_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5650033Z test_non_contig_special_legendre_polynomial_p_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5650380Z test_non_contig_special_legendre_polynomial_p_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5650726Z test_non_contig_special_legendre_polynomial_p_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5651068Z test_non_contig_special_legendre_polynomial_p_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5651428Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5651793Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5652157Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5652513Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5652874Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5653230Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5653615Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5653965Z test_non_contig_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5654314Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5654704Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5655069Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5655425Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5655782Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5656136Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5656489Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5656840Z test_non_contig_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5657200Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5657556Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5657918Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5658263Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5658615Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5658975Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5659331Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5659683Z test_non_contig_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5660038Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5660397Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5660783Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5661135Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5661489Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5661872Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5662229Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5662582Z test_non_contig_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5662730Z test_non_contig_special_xlog1py_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5662883Z test_non_contig_special_xlog1py_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5663039Z test_non_contig_special_xlog1py_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5663195Z test_non_contig_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5663350Z test_non_contig_special_xlog1py_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5663502Z test_non_contig_special_xlog1py_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5663656Z test_non_contig_special_xlog1py_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5663801Z test_non_contig_special_xlog1py_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5663954Z test_non_contig_special_xlog1py_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5664090Z test_non_contig_special_xlog1py_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5664238Z test_non_contig_special_zeta_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5664386Z test_non_contig_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5664538Z test_non_contig_special_zeta_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5664685Z test_non_contig_special_zeta_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5664836Z test_non_contig_special_zeta_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5664985Z test_non_contig_special_zeta_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5665135Z test_non_contig_special_zeta_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5665272Z test_non_contig_special_zeta_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5665414Z test_non_contig_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5665557Z test_non_contig_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5665701Z test_non_contig_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5665843Z test_non_contig_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5665983Z test_non_contig_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5666123Z test_non_contig_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5666294Z test_non_contig_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5666419Z test_non_contig_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5666558Z test_non_contig_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5666694Z test_non_contig_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5666830Z test_non_contig_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5666967Z test_non_contig_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5667142Z test_non_contig_true_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5667292Z test_non_contig_true_divide_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5667446Z test_non_contig_true_divide_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5667589Z test_non_contig_true_divide_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5667740Z test_non_contig_true_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5667880Z test_non_contig_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5668030Z test_non_contig_true_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5668178Z test_non_contig_true_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5668326Z test_non_contig_true_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5668474Z test_non_contig_true_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5668621Z test_non_contig_true_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5668764Z test_non_contig_true_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5668901Z test_non_contig_xlogy_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5669042Z test_non_contig_xlogy_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5669187Z test_non_contig_xlogy_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5669326Z test_non_contig_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5669471Z test_non_contig_xlogy_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5669615Z test_non_contig_xlogy_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5669757Z test_non_contig_xlogy_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5669905Z test_non_contig_xlogy_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5670034Z test_non_contig_xlogy_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5670172Z test_non_contig_xlogy_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5670331Z test_not_broadcastable___radd___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.198s) 2022-12-01T10:52:10.5670486Z test_not_broadcastable___rdiv___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5670638Z test_not_broadcastable___rmod___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5670788Z test_not_broadcastable___rmul___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5671421Z test_not_broadcastable___rpow___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.5671560Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.5671658Z ok (0.020s) 2022-12-01T10:52:10.5671799Z test_not_broadcastable___rsub___cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5671951Z test_not_broadcastable_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5672105Z test_not_broadcastable_atan2_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5672266Z test_not_broadcastable_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5672425Z test_not_broadcastable_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5672611Z test_not_broadcastable_complex_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5672768Z test_not_broadcastable_copysign_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5672937Z test_not_broadcastable_div_floor_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5673112Z test_not_broadcastable_div_no_rounding_mode_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5673272Z test_not_broadcastable_div_trunc_rounding_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5673424Z test_not_broadcastable_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5673587Z test_not_broadcastable_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5673751Z test_not_broadcastable_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5673906Z test_not_broadcastable_fmax_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5674057Z test_not_broadcastable_fmin_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5674207Z test_not_broadcastable_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5674359Z test_not_broadcastable_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5674497Z test_not_broadcastable_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5674657Z test_not_broadcastable_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5674808Z test_not_broadcastable_hypot_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5674963Z test_not_broadcastable_igamma_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5675121Z test_not_broadcastable_igammac_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5675278Z test_not_broadcastable_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5675469Z test_not_broadcastable_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5675674Z test_not_broadcastable_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5675830Z test_not_broadcastable_ldexp_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5675968Z test_not_broadcastable_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5676130Z test_not_broadcastable_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5676288Z test_not_broadcastable_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5676449Z test_not_broadcastable_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5676604Z test_not_broadcastable_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5676763Z test_not_broadcastable_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5676918Z test_not_broadcastable_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5677102Z test_not_broadcastable_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5677257Z test_not_broadcastable_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5677398Z test_not_broadcastable_mul_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5677544Z test_not_broadcastable_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5677706Z test_not_broadcastable_nextafter_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5677925Z test_not_broadcastable_polar_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5678079Z test_not_broadcastable_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5678242Z test_not_broadcastable_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5678395Z test_not_broadcastable_rsub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5678583Z test_not_broadcastable_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5678750Z test_not_broadcastable_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5679120Z test_not_broadcastable_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5679490Z test_not_broadcastable_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5679673Z test_not_broadcastable_special_hermite_polynomial_h_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5679858Z test_not_broadcastable_special_hermite_polynomial_he_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5680044Z test_not_broadcastable_special_laguerre_polynomial_l_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5680406Z test_not_broadcastable_special_legendre_polynomial_p_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5680781Z test_not_broadcastable_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5681160Z test_not_broadcastable_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5681531Z test_not_broadcastable_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5681911Z test_not_broadcastable_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s) 2022-12-01T10:52:10.5682081Z test_not_broadcastable_special_xlog1py_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5682234Z test_not_broadcastable_special_zeta_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5682392Z test_not_broadcastable_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5682554Z test_not_broadcastable_true_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5682705Z test_not_broadcastable_xlogy_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5682845Z test_out_resize_warning_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.077s) 2022-12-01T10:52:10.5683195Z test_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 1324 2022-12-01T10:52:10.5683291Z due to: 2022-12-01T10:52:10.5683383Z Traceback (most recent call last): 2022-12-01T10:52:10.5683528Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:52:10.5683776Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:52:10.5683977Z AssertionError: torch.* op returned non-Tensor bool call_method is_complex 2022-12-01T10:52:10.5683986Z 2022-12-01T10:52:10.5684054Z from user code: 2022-12-01T10:52:10.5684209Z File "test_binary_ufuncs.py", line 1344, in 2022-12-01T10:52:10.5684288Z if m1.is_complex(): 2022-12-01T10:52:10.5684294Z 2022-12-01T10:52:10.5684425Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5684485Z ========== 2022-12-01T10:52:10.5684541Z ok (0.142s) 2022-12-01T10:52:10.5684875Z test_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pow test_binary_ufuncs.py line 1319 2022-12-01T10:52:10.5684939Z due to: 2022-12-01T10:52:10.5685028Z Traceback (most recent call last): 2022-12-01T10:52:10.5685181Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:52:10.5685428Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:52:10.5685628Z AssertionError: torch.* op returned non-Tensor bool call_method is_complex 2022-12-01T10:52:10.5685634Z 2022-12-01T10:52:10.5685702Z from user code: 2022-12-01T10:52:10.5685804Z File "test_binary_ufuncs.py", line 1322, in test_pow 2022-12-01T10:52:10.5685909Z if m1.is_floating_point() or m1.is_complex(): 2022-12-01T10:52:10.5685914Z 2022-12-01T10:52:10.5686043Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5686107Z ========== 2022-12-01T10:52:10.5686171Z ok (0.095s) 2022-12-01T10:52:10.5686303Z test_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.092s) 2022-12-01T10:52:10.5686433Z test_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.106s) 2022-12-01T10:52:10.5686548Z test_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.125s) 2022-12-01T10:52:10.5686673Z test_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5686798Z test_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5686920Z test_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5687171Z test_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5687375Z test_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5687502Z test_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5687698Z test_pow_cuda_complex_extremal_failing_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5687880Z test_pow_cuda_complex_extremal_failing_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5688038Z test_pow_inplace_resizing_exception_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.195s) 2022-12-01T10:52:10.5688176Z test_pow_scalar_base_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5688596Z test_pow_scalar_overloads_mem_overlap_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pow_scalar_overloads_mem_overlap test_binary_ufuncs.py line 3905 2022-12-01T10:52:10.5688661Z due to: 2022-12-01T10:52:10.5688756Z Traceback (most recent call last): 2022-12-01T10:52:10.5688918Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 140, in python_type 2022-12-01T10:52:10.5689040Z raise NotImplementedError(f"{self} has no type") 2022-12-01T10:52:10.5689237Z NotImplementedError: NestedUserFunctionVariable() has no type 2022-12-01T10:52:10.5689243Z 2022-12-01T10:52:10.5689299Z from user code: 2022-12-01T10:52:10.5689444Z File "test_binary_ufuncs.py", line 3910, in test_pow_scalar_overloads_mem_overlap 2022-12-01T10:52:10.5689582Z self.check_internal_mem_overlap(lambda t: t.pow_(42), 1, dtype, device) 2022-12-01T10:52:10.5689587Z 2022-12-01T10:52:10.5689717Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5689780Z ========== 2022-12-01T10:52:10.5690016Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3910 2022-12-01T10:52:10.5690081Z due to: 2022-12-01T10:52:10.5690159Z Traceback (most recent call last): 2022-12-01T10:52:10.5690411Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5690510Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5690884Z RuntimeError: unsupported operation: more than one element of the written-to tensor refers to a single memory location. Please clone() the tensor before performing the operation. 2022-12-01T10:52:10.5690892Z 2022-12-01T10:52:10.5691027Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5691032Z 2022-12-01T10:52:10.5691122Z Traceback (most recent call last): 2022-12-01T10:52:10.5691274Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5691369Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5691475Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5691480Z 2022-12-01T10:52:10.5691536Z from user code: 2022-12-01T10:52:10.5691645Z File "test_binary_ufuncs.py", line 3910, in 2022-12-01T10:52:10.5691782Z self.check_internal_mem_overlap(lambda t: t.pow_(42), 1, dtype, device) 2022-12-01T10:52:10.5691787Z 2022-12-01T10:52:10.5691915Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5691976Z ========== 2022-12-01T10:52:10.5692042Z ok (0.044s) 2022-12-01T10:52:10.5692422Z test_pow_scalar_type_promotion_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pow_scalar_type_promotion test_binary_ufuncs.py line 1660 2022-12-01T10:52:10.5692485Z due to: 2022-12-01T10:52:10.5692563Z Traceback (most recent call last): 2022-12-01T10:52:10.5692727Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 261, in call_function 2022-12-01T10:52:10.5692818Z assert name in tx.symbolic_locals 2022-12-01T10:52:10.5692888Z AssertionError 2022-12-01T10:52:10.5692893Z 2022-12-01T10:52:10.5692960Z from user code: 2022-12-01T10:52:10.5693097Z File "test_binary_ufuncs.py", line 1671, in test_pow_scalar_type_promotion 2022-12-01T10:52:10.5693217Z out=torch.tensor(0, dtype=torch.int64, device=device), 2022-12-01T10:52:10.5693222Z 2022-12-01T10:52:10.5693350Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5693400Z ========== 2022-12-01T10:52:10.5693924Z test_binary_ufuncs.py:1671: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:52:10.5694045Z out=torch.tensor(0, dtype=torch.int64, device=device), 2022-12-01T10:52:10.5694570Z test_binary_ufuncs.py:1679: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:52:10.5694719Z out=torch.tensor(0, dtype=torch.int64, device=device), 2022-12-01T10:52:10.5694782Z ok (0.006s) 2022-12-01T10:52:10.5694918Z test_rdiv_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.153s) 2022-12-01T10:52:10.5695054Z test_rdiv_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.148s) 2022-12-01T10:52:10.5695188Z test_rdiv_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.134s) 2022-12-01T10:52:10.5695320Z test_rdiv_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.135s) 2022-12-01T10:52:10.5695436Z test_rdiv_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.133s) 2022-12-01T10:52:10.5695590Z test_rdiv_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.116s) 2022-12-01T10:52:10.5695717Z test_rdiv_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.116s) 2022-12-01T10:52:10.5695842Z test_rdiv_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.116s) 2022-12-01T10:52:10.5695967Z test_rdiv_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5696120Z test_reference_numerics_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.215s) 2022-12-01T10:52:10.5696270Z test_reference_numerics_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5696428Z test_reference_numerics_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.066s) 2022-12-01T10:52:10.5696572Z test_reference_numerics_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.116s) 2022-12-01T10:52:10.5696795Z test_reference_numerics_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.053s) 2022-12-01T10:52:10.5696978Z test_reference_numerics_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.058s) 2022-12-01T10:52:10.5697132Z test_reference_numerics_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5697278Z test_reference_numerics_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5697426Z test_reference_numerics_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5697578Z test_reference_numerics_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5697727Z test_reference_numerics_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5697863Z test_reference_numerics_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5698009Z test_reference_numerics_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5698170Z test_reference_numerics_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5698331Z test_reference_numerics_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5698487Z test_reference_numerics_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5698645Z test_reference_numerics_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5698805Z test_reference_numerics_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5698959Z test_reference_numerics_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5699116Z test_reference_numerics_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5699259Z test_reference_numerics_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5699414Z test_reference_numerics_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5699571Z test_reference_numerics_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5699724Z test_reference_numerics_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5699875Z test_reference_numerics_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5700065Z test_reference_numerics_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5700220Z test_reference_numerics_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5700376Z test_reference_numerics_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5700533Z test_reference_numerics_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5700674Z test_reference_numerics_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5700827Z test_reference_numerics_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5701022Z test_reference_numerics_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5701178Z test_reference_numerics_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5701333Z test_reference_numerics_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.063s) 2022-12-01T10:52:10.5701491Z test_reference_numerics_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5701650Z test_reference_numerics_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5701803Z test_reference_numerics_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5701946Z test_reference_numerics_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5702098Z test_reference_numerics_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5702250Z test_reference_numerics_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5702396Z test_reference_numerics_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5702554Z test_reference_numerics_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5702711Z test_reference_numerics_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5702872Z test_reference_numerics_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.067s) 2022-12-01T10:52:10.5703029Z test_reference_numerics_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5703184Z test_reference_numerics_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.5703328Z test_reference_numerics_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5703482Z test_reference_numerics_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5703637Z test_reference_numerics_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5703863Z test_reference_numerics_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5704025Z test_reference_numerics_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5704175Z test_reference_numerics_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5704321Z test_reference_numerics_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5704473Z test_reference_numerics_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.063s) 2022-12-01T10:52:10.5704612Z test_reference_numerics_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.096s) 2022-12-01T10:52:10.5704762Z test_reference_numerics_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5704913Z test_reference_numerics_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.051s) 2022-12-01T10:52:10.5705058Z test_reference_numerics_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5705207Z test_reference_numerics_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5705388Z test_reference_numerics_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5705533Z test_reference_numerics_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5705673Z test_reference_numerics_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5705819Z test_reference_numerics_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5705954Z test_reference_numerics_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5706467Z test_reference_numerics_extremal_values_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:8264: RuntimeWarning: invalid value encountered in add 2022-12-01T10:52:10.5706608Z ref=lambda input, other, *, alpha=1: np.add(input, other) if alpha == 1 \ 2022-12-01T10:52:10.5706676Z ok (0.186s) 2022-12-01T10:52:10.5706871Z test_reference_numerics_extremal_values_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5707061Z test_reference_numerics_extremal_values_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5707234Z test_reference_numerics_extremal_values_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5707407Z test_reference_numerics_extremal_values_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5707575Z test_reference_numerics_extremal_values_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5707747Z test_reference_numerics_extremal_values_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5707927Z test_reference_numerics_extremal_values_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5708109Z test_reference_numerics_extremal_values_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5708288Z test_reference_numerics_extremal_values_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5708465Z test_reference_numerics_extremal_values_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5708640Z test_reference_numerics_extremal_values_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5708816Z test_reference_numerics_extremal_values_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5708989Z test_reference_numerics_extremal_values_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5709158Z test_reference_numerics_extremal_values_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5709320Z test_reference_numerics_extremal_values_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5709492Z test_reference_numerics_extremal_values_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5709661Z test_reference_numerics_extremal_values_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5709825Z test_reference_numerics_extremal_values_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5709992Z test_reference_numerics_extremal_values_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5710252Z test_reference_numerics_extremal_values_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: divide by zero encountered in float_power 2022-12-01T10:52:10.5710346Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5710499Z test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5710592Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5710676Z ok (0.004s) 2022-12-01T10:52:10.5710875Z test_reference_numerics_extremal_values_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5711072Z test_reference_numerics_extremal_values_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5711254Z test_reference_numerics_extremal_values_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5711434Z test_reference_numerics_extremal_values_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5711640Z test_reference_numerics_extremal_values_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5711839Z test_reference_numerics_extremal_values_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5712033Z test_reference_numerics_extremal_values_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5712537Z test_reference_numerics_extremal_values_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:2069: RuntimeWarning: invalid value encountered in floor_divide 2022-12-01T10:52:10.5712611Z return np.floor_divide(a, b) 2022-12-01T10:52:10.5712674Z ok (0.003s) 2022-12-01T10:52:10.5712858Z test_reference_numerics_extremal_values_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5713101Z test_reference_numerics_extremal_values_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in fmod 2022-12-01T10:52:10.5713198Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5713262Z ok (0.003s) 2022-12-01T10:52:10.5713436Z test_reference_numerics_extremal_values_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5713608Z test_reference_numerics_extremal_values_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5713767Z test_reference_numerics_extremal_values_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5714019Z test_reference_numerics_extremal_values_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.5714113Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5714176Z ok (0.002s) 2022-12-01T10:52:10.5714349Z test_reference_numerics_extremal_values_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5714521Z test_reference_numerics_extremal_values_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5714688Z test_reference_numerics_extremal_values_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5714937Z test_reference_numerics_extremal_values_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.5715030Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5715082Z ok (0.002s) 2022-12-01T10:52:10.5715249Z test_reference_numerics_extremal_values_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5715417Z test_reference_numerics_extremal_values_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5715581Z test_reference_numerics_extremal_values_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5715778Z test_reference_numerics_extremal_values_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5715970Z test_reference_numerics_extremal_values_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5716163Z test_reference_numerics_extremal_values_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5716377Z test_reference_numerics_extremal_values_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5716564Z test_reference_numerics_extremal_values_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5716744Z test_reference_numerics_extremal_values_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5716932Z test_reference_numerics_extremal_values_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5717157Z test_reference_numerics_extremal_values_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5717348Z test_reference_numerics_extremal_values_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5717534Z test_reference_numerics_extremal_values_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5717739Z test_reference_numerics_extremal_values_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5717948Z test_reference_numerics_extremal_values_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5718155Z test_reference_numerics_extremal_values_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5718368Z test_reference_numerics_extremal_values_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5718570Z test_reference_numerics_extremal_values_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5718762Z test_reference_numerics_extremal_values_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5718983Z test_reference_numerics_extremal_values_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5719201Z test_reference_numerics_extremal_values_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5719420Z test_reference_numerics_extremal_values_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5719635Z test_reference_numerics_extremal_values_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5719845Z test_reference_numerics_extremal_values_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5720062Z test_reference_numerics_extremal_values_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5720307Z test_reference_numerics_extremal_values_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.5720403Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5720468Z ok (0.002s) 2022-12-01T10:52:10.5720627Z test_reference_numerics_extremal_values_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5720797Z test_reference_numerics_extremal_values_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5720965Z test_reference_numerics_extremal_values_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5721145Z test_reference_numerics_extremal_values_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5721359Z test_reference_numerics_extremal_values_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5721543Z test_reference_numerics_extremal_values_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5721722Z test_reference_numerics_extremal_values_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5721903Z test_reference_numerics_extremal_values_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5722110Z test_reference_numerics_extremal_values_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5722275Z test_reference_numerics_extremal_values_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5722458Z test_reference_numerics_extremal_values_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5722642Z test_reference_numerics_extremal_values_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5722819Z test_reference_numerics_extremal_values_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5722997Z test_reference_numerics_extremal_values_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5723174Z test_reference_numerics_extremal_values_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5723350Z test_reference_numerics_extremal_values_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5723533Z test_reference_numerics_extremal_values_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5723713Z test_reference_numerics_extremal_values_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5723891Z test_reference_numerics_extremal_values_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5724058Z test_reference_numerics_extremal_values_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5724236Z test_reference_numerics_extremal_values_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5724472Z test_reference_numerics_extremal_values_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.5724565Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5724631Z ok (0.002s) 2022-12-01T10:52:10.5724807Z test_reference_numerics_extremal_values_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5724969Z test_reference_numerics_extremal_values_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5725138Z test_reference_numerics_extremal_values_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5725303Z test_reference_numerics_extremal_values_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5725482Z test_reference_numerics_extremal_values_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5725655Z test_reference_numerics_extremal_values_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5725827Z test_reference_numerics_extremal_values_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5726001Z test_reference_numerics_extremal_values_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5726177Z test_reference_numerics_extremal_values_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5726348Z test_reference_numerics_extremal_values_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5726547Z test_reference_numerics_extremal_values_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5726724Z test_reference_numerics_extremal_values_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5726900Z test_reference_numerics_extremal_values_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5727195Z test_reference_numerics_extremal_values_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5727487Z test_reference_numerics_extremal_values_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5727667Z test_reference_numerics_extremal_values_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5727839Z test_reference_numerics_extremal_values_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5728012Z test_reference_numerics_extremal_values_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5728181Z test_reference_numerics_extremal_values_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5728353Z test_reference_numerics_extremal_values_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5728527Z test_reference_numerics_extremal_values_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5728699Z test_reference_numerics_extremal_values_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5728858Z test_reference_numerics_extremal_values_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5729028Z test_reference_numerics_extremal_values_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5729195Z test_reference_numerics_extremal_values_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5729444Z test_reference_numerics_extremal_values_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:52:10.5729538Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5729690Z test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5729787Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5729854Z ok (0.003s) 2022-12-01T10:52:10.5730033Z test_reference_numerics_extremal_values_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5730221Z test_reference_numerics_extremal_values_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5730458Z test_reference_numerics_extremal_values_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: overflow encountered in power 2022-12-01T10:52:10.5730550Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5730613Z ok (0.004s) 2022-12-01T10:52:10.5730786Z test_reference_numerics_extremal_values_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5730960Z test_reference_numerics_extremal_values_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5731211Z test_reference_numerics_extremal_values_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in remainder 2022-12-01T10:52:10.5731302Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5731354Z ok (0.003s) 2022-12-01T10:52:10.5731535Z test_reference_numerics_extremal_values_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5731711Z test_reference_numerics_extremal_values_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5731925Z test_reference_numerics_extremal_values_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5732420Z test_reference_numerics_extremal_values_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:8407: RuntimeWarning: invalid value encountered in subtract 2022-12-01T10:52:10.5732571Z ref=lambda input, other, *, alpha=1: np.subtract(input, np.multiply(alpha, other)), 2022-12-01T10:52:10.5732637Z ok (0.003s) 2022-12-01T10:52:10.5733150Z test_reference_numerics_extremal_values_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:8407: RuntimeWarning: invalid value encountered in multiply 2022-12-01T10:52:10.5733305Z ref=lambda input, other, *, alpha=1: np.subtract(input, np.multiply(alpha, other)), 2022-12-01T10:52:10.5733357Z ok (0.006s) 2022-12-01T10:52:10.5733533Z test_reference_numerics_extremal_values_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5733705Z test_reference_numerics_extremal_values_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5733881Z test_reference_numerics_extremal_values_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5734050Z test_reference_numerics_extremal_values_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5734216Z test_reference_numerics_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.084s) 2022-12-01T10:52:10.5734380Z test_reference_numerics_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5734549Z test_reference_numerics_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.239s) 2022-12-01T10:52:10.5734715Z test_reference_numerics_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.223s) 2022-12-01T10:52:10.5734869Z test_reference_numerics_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.116s) 2022-12-01T10:52:10.5735029Z test_reference_numerics_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.074s) 2022-12-01T10:52:10.5735188Z test_reference_numerics_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.080s) 2022-12-01T10:52:10.5735346Z test_reference_numerics_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.067s) 2022-12-01T10:52:10.5735502Z test_reference_numerics_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.069s) 2022-12-01T10:52:10.5735659Z test_reference_numerics_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.061s) 2022-12-01T10:52:10.5735821Z test_reference_numerics_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.067s) 2022-12-01T10:52:10.5735974Z test_reference_numerics_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.067s) 2022-12-01T10:52:10.5736143Z test_reference_numerics_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5736306Z test_reference_numerics_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.090s) 2022-12-01T10:52:10.5736470Z test_reference_numerics_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5736629Z test_reference_numerics_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.072s) 2022-12-01T10:52:10.5736788Z test_reference_numerics_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.042s) 2022-12-01T10:52:10.5736945Z test_reference_numerics_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.5737107Z test_reference_numerics_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.045s) 2022-12-01T10:52:10.5737265Z test_reference_numerics_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.5737420Z test_reference_numerics_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5737608Z test_reference_numerics_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5737762Z test_reference_numerics_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.086s) 2022-12-01T10:52:10.5737913Z test_reference_numerics_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5738064Z test_reference_numerics_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5738211Z test_reference_numerics_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5738384Z test_reference_numerics_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5738535Z test_reference_numerics_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5738687Z test_reference_numerics_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5738838Z test_reference_numerics_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.040s) 2022-12-01T10:52:10.5738973Z test_reference_numerics_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5739115Z test_reference_numerics_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5739262Z test_reference_numerics_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5739408Z test_reference_numerics_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5739554Z test_reference_numerics_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.044s) 2022-12-01T10:52:10.5739709Z test_reference_numerics_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5739857Z test_reference_numerics_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5740007Z test_reference_numerics_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.057s) 2022-12-01T10:52:10.5740144Z test_reference_numerics_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5740293Z test_reference_numerics_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5740439Z test_reference_numerics_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5740586Z test_reference_numerics_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5740727Z test_reference_numerics_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5740874Z test_reference_numerics_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5741019Z test_reference_numerics_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5741169Z test_reference_numerics_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5741304Z test_reference_numerics_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5741453Z test_reference_numerics_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.057s) 2022-12-01T10:52:10.5741599Z test_reference_numerics_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5741744Z test_reference_numerics_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5741888Z test_reference_numerics_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5742028Z test_reference_numerics_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5742175Z test_reference_numerics_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5742320Z test_reference_numerics_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5742464Z test_reference_numerics_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5742616Z test_reference_numerics_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.5742801Z test_reference_numerics_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.057s) 2022-12-01T10:52:10.5742960Z test_reference_numerics_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.075s) 2022-12-01T10:52:10.5743118Z test_reference_numerics_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5743277Z test_reference_numerics_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5743433Z test_reference_numerics_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5743613Z test_reference_numerics_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5743768Z test_reference_numerics_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5743912Z test_reference_numerics_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5744067Z test_reference_numerics_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.043s) 2022-12-01T10:52:10.5744224Z test_reference_numerics_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5744375Z test_reference_numerics_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5744535Z test_reference_numerics_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.095s) 2022-12-01T10:52:10.5744693Z test_reference_numerics_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.041s) 2022-12-01T10:52:10.5744851Z test_reference_numerics_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.135s) 2022-12-01T10:52:10.5745006Z test_reference_numerics_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5745157Z test_reference_numerics_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.5745300Z test_reference_numerics_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5745450Z test_reference_numerics_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5745597Z test_reference_numerics_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5745749Z test_reference_numerics_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5745903Z test_reference_numerics_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5746097Z test_reference_numerics_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5746287Z test_reference_numerics_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5746481Z test_reference_numerics_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5746677Z test_reference_numerics_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5746852Z test_reference_numerics_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5747037Z test_reference_numerics_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5747218Z test_reference_numerics_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5747404Z test_reference_numerics_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5747586Z test_reference_numerics_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5747772Z test_reference_numerics_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5747983Z test_reference_numerics_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5748167Z test_reference_numerics_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5748367Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5748554Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5748786Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5748992Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5749193Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5749391Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5749588Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5749788Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5749982Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5750178Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5750376Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5750574Z test_reference_numerics_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5750732Z test_reference_numerics_large_values_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.189s) 2022-12-01T10:52:10.5750904Z test_reference_numerics_large_values_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5751076Z test_reference_numerics_large_values_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5751245Z test_reference_numerics_large_values_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5751407Z test_reference_numerics_large_values_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5751573Z test_reference_numerics_large_values_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5751740Z test_reference_numerics_large_values_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5751898Z test_reference_numerics_large_values_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5752053Z test_reference_numerics_large_values_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5752215Z test_reference_numerics_large_values_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5752387Z test_reference_numerics_large_values_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5752557Z test_reference_numerics_large_values_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5752726Z test_reference_numerics_large_values_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5752899Z test_reference_numerics_large_values_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5753093Z test_reference_numerics_large_values_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5753266Z test_reference_numerics_large_values_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5753438Z test_reference_numerics_large_values_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5753605Z test_reference_numerics_large_values_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5753808Z test_reference_numerics_large_values_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5753982Z test_reference_numerics_large_values_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5754148Z test_reference_numerics_large_values_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5754323Z test_reference_numerics_large_values_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5754492Z test_reference_numerics_large_values_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5754662Z test_reference_numerics_large_values_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5754827Z test_reference_numerics_large_values_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5755002Z test_reference_numerics_large_values_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5755172Z test_reference_numerics_large_values_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5755329Z test_reference_numerics_large_values_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5755494Z test_reference_numerics_large_values_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5755662Z test_reference_numerics_large_values_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5755832Z test_reference_numerics_large_values_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5756001Z test_reference_numerics_large_values_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5756169Z test_reference_numerics_large_values_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5756341Z test_reference_numerics_large_values_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5756509Z test_reference_numerics_large_values_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5756678Z test_reference_numerics_large_values_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5756831Z test_reference_numerics_large_values_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5756990Z test_reference_numerics_large_values_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5757152Z test_reference_numerics_large_values_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5757318Z test_reference_numerics_large_values_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5757473Z test_reference_numerics_large_values_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5757725Z test_reference_numerics_large_values_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: overflow encountered in float_power 2022-12-01T10:52:10.5757822Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5757888Z ok (0.005s) 2022-12-01T10:52:10.5758085Z test_reference_numerics_large_values_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5758299Z test_reference_numerics_large_values_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5758474Z test_reference_numerics_large_values_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5758725Z test_reference_numerics_large_values_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5758817Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5758881Z ok (0.004s) 2022-12-01T10:52:10.5759084Z test_reference_numerics_large_values_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5759259Z test_reference_numerics_large_values_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5759436Z test_reference_numerics_large_values_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5759608Z test_reference_numerics_large_values_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5759787Z test_reference_numerics_large_values_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5759964Z test_reference_numerics_large_values_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5760140Z test_reference_numerics_large_values_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5760316Z test_reference_numerics_large_values_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5760490Z test_reference_numerics_large_values_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5760662Z test_reference_numerics_large_values_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5760833Z test_reference_numerics_large_values_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5761002Z test_reference_numerics_large_values_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5761172Z test_reference_numerics_large_values_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5761326Z test_reference_numerics_large_values_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5761492Z test_reference_numerics_large_values_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5761662Z test_reference_numerics_large_values_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5761819Z test_reference_numerics_large_values_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5761983Z test_reference_numerics_large_values_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5762147Z test_reference_numerics_large_values_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5762306Z test_reference_numerics_large_values_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5762461Z test_reference_numerics_large_values_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5762626Z test_reference_numerics_large_values_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5762781Z test_reference_numerics_large_values_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5762941Z test_reference_numerics_large_values_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5763097Z test_reference_numerics_large_values_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5763318Z test_reference_numerics_large_values_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5763476Z test_reference_numerics_large_values_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5763640Z test_reference_numerics_large_values_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5763811Z test_reference_numerics_large_values_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5763977Z test_reference_numerics_large_values_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5764154Z test_reference_numerics_large_values_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5764313Z test_reference_numerics_large_values_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5764475Z test_reference_numerics_large_values_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5764636Z test_reference_numerics_large_values_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5764791Z test_reference_numerics_large_values_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5764967Z test_reference_numerics_large_values_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5765145Z test_reference_numerics_large_values_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5765320Z test_reference_numerics_large_values_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5765498Z test_reference_numerics_large_values_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5765656Z test_reference_numerics_large_values_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5765828Z test_reference_numerics_large_values_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5765996Z test_reference_numerics_large_values_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5766167Z test_reference_numerics_large_values_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5766341Z test_reference_numerics_large_values_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5766513Z test_reference_numerics_large_values_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5766682Z test_reference_numerics_large_values_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5766853Z test_reference_numerics_large_values_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5767141Z test_reference_numerics_large_values_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5767368Z test_reference_numerics_large_values_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5767542Z test_reference_numerics_large_values_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5767707Z test_reference_numerics_large_values_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5767912Z test_reference_numerics_large_values_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5768122Z test_reference_numerics_large_values_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5768331Z test_reference_numerics_large_values_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5768532Z test_reference_numerics_large_values_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5768773Z test_reference_numerics_large_values_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5768975Z test_reference_numerics_large_values_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5769173Z test_reference_numerics_large_values_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5769364Z test_reference_numerics_large_values_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5769580Z test_reference_numerics_large_values_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5769796Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5770015Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5770234Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5770447Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5770654Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5770858Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5771069Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5771270Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5771471Z test_reference_numerics_large_values_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5771634Z test_reference_numerics_large_values_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5771786Z test_reference_numerics_large_values_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5771949Z test_reference_numerics_large_values_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5772116Z test_reference_numerics_large_values_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5772281Z test_reference_numerics_large_values_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5772438Z test_reference_numerics_large_values_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5772603Z test_reference_numerics_large_values_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5772765Z test_reference_numerics_large_values_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5772925Z test_reference_numerics_large_values_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5773068Z test_reference_numerics_large_values_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5773248Z test_reference_numerics_large_values_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5773429Z test_reference_numerics_large_values_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5773607Z test_reference_numerics_large_values_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5773809Z test_reference_numerics_large_values_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5773986Z test_reference_numerics_large_values_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5774159Z test_reference_numerics_large_values_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5774333Z test_reference_numerics_large_values_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5774531Z test_reference_numerics_large_values_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5774703Z test_reference_numerics_large_values_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5774865Z test_reference_numerics_large_values_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5775044Z test_reference_numerics_large_values_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5775220Z test_reference_numerics_large_values_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5775389Z test_reference_numerics_large_values_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5775563Z test_reference_numerics_large_values_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5775735Z test_reference_numerics_large_values_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5775908Z test_reference_numerics_large_values_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5776081Z test_reference_numerics_large_values_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5776246Z test_reference_numerics_large_values_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5776411Z test_reference_numerics_large_values_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5776590Z test_reference_numerics_large_values_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5776765Z test_reference_numerics_large_values_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5776940Z test_reference_numerics_large_values_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5777113Z test_reference_numerics_large_values_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5777284Z test_reference_numerics_large_values_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5777455Z test_reference_numerics_large_values_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5777628Z test_reference_numerics_large_values_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5777793Z test_reference_numerics_large_values_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5777949Z test_reference_numerics_large_values_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5778112Z test_reference_numerics_large_values_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5778272Z test_reference_numerics_large_values_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5778431Z test_reference_numerics_large_values_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5778593Z test_reference_numerics_large_values_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5778755Z test_reference_numerics_large_values_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5778940Z test_reference_numerics_large_values_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5779113Z test_reference_numerics_large_values_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5779284Z test_reference_numerics_large_values_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5779445Z test_reference_numerics_large_values_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5779614Z test_reference_numerics_large_values_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5779810Z test_reference_numerics_large_values_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5779981Z test_reference_numerics_large_values_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5780150Z test_reference_numerics_large_values_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5780326Z test_reference_numerics_large_values_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5780497Z test_reference_numerics_large_values_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5780665Z test_reference_numerics_large_values_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5780833Z test_reference_numerics_large_values_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5780992Z test_reference_numerics_large_values_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5781154Z test_reference_numerics_large_values_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5781323Z test_reference_numerics_large_values_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5781498Z test_reference_numerics_large_values_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5781668Z test_reference_numerics_large_values_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5781839Z test_reference_numerics_large_values_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5782012Z test_reference_numerics_large_values_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5782178Z test_reference_numerics_large_values_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5782348Z test_reference_numerics_large_values_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5782502Z test_reference_numerics_large_values_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5782671Z test_reference_numerics_large_values_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5782839Z test_reference_numerics_large_values_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5783009Z test_reference_numerics_large_values_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5783176Z test_reference_numerics_large_values_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5783345Z test_reference_numerics_large_values_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5783512Z test_reference_numerics_large_values_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5783677Z test_reference_numerics_large_values_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5783840Z test_reference_numerics_large_values_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5784020Z test_reference_numerics_large_values_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5784188Z test_reference_numerics_large_values_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5784353Z test_reference_numerics_large_values_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5784515Z test_reference_numerics_large_values_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5784674Z test_reference_numerics_large_values_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5784863Z test_reference_numerics_large_values_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5785023Z test_reference_numerics_large_values_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5785180Z test_reference_numerics_large_values_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5785420Z test_reference_numerics_large_values_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: overflow encountered in power 2022-12-01T10:52:10.5785504Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5785569Z ok (0.005s) 2022-12-01T10:52:10.5785756Z test_reference_numerics_large_values_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5785943Z test_reference_numerics_large_values_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:52:10.5786112Z test_reference_numerics_large_values_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5786346Z test_reference_numerics_large_values_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5786440Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5786505Z ok (0.004s) 2022-12-01T10:52:10.5786660Z test_reference_numerics_large_values_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5786844Z test_reference_numerics_large_values_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.372s) 2022-12-01T10:52:10.5787022Z test_reference_numerics_large_values_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.001s) 2022-12-01T10:52:10.5787203Z test_reference_numerics_large_values_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.001s) 2022-12-01T10:52:10.5787379Z test_reference_numerics_large_values_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5787559Z test_reference_numerics_large_values_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5787731Z test_reference_numerics_large_values_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5787900Z test_reference_numerics_large_values_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5788068Z test_reference_numerics_large_values_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5788227Z test_reference_numerics_large_values_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5788392Z test_reference_numerics_large_values_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5788558Z test_reference_numerics_large_values_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5788730Z test_reference_numerics_large_values_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5788899Z test_reference_numerics_large_values_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5789062Z test_reference_numerics_large_values_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5789268Z test_reference_numerics_large_values_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5789424Z test_reference_numerics_large_values_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5789586Z test_reference_numerics_large_values_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5789732Z test_reference_numerics_large_values_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5789893Z test_reference_numerics_large_values_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5790080Z test_reference_numerics_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5790228Z test_reference_numerics_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.048s) 2022-12-01T10:52:10.5790377Z test_reference_numerics_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.053s) 2022-12-01T10:52:10.5790525Z test_reference_numerics_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.049s) 2022-12-01T10:52:10.5790668Z test_reference_numerics_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5790820Z test_reference_numerics_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5790966Z test_reference_numerics_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5791104Z test_reference_numerics_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.056s) 2022-12-01T10:52:10.5791255Z test_reference_numerics_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5791402Z test_reference_numerics_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5791549Z test_reference_numerics_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5791690Z test_reference_numerics_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5791835Z test_reference_numerics_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5791981Z test_reference_numerics_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5792123Z test_reference_numerics_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5792275Z test_reference_numerics_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5792435Z test_reference_numerics_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5792603Z test_reference_numerics_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.056s) 2022-12-01T10:52:10.5792768Z test_reference_numerics_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5792931Z test_reference_numerics_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5793094Z test_reference_numerics_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5793255Z test_reference_numerics_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5793414Z test_reference_numerics_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5793573Z test_reference_numerics_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5793720Z test_reference_numerics_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5793877Z test_reference_numerics_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5794032Z test_reference_numerics_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5794192Z test_reference_numerics_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5794349Z test_reference_numerics_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5794540Z test_reference_numerics_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.055s) 2022-12-01T10:52:10.5794700Z test_reference_numerics_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5794861Z test_reference_numerics_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.046s) 2022-12-01T10:52:10.5795017Z test_reference_numerics_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5795164Z test_reference_numerics_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5795343Z test_reference_numerics_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5795501Z test_reference_numerics_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5795653Z test_reference_numerics_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5795807Z test_reference_numerics_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5795959Z test_reference_numerics_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5796118Z test_reference_numerics_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5796270Z test_reference_numerics_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5796423Z test_reference_numerics_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.057s) 2022-12-01T10:52:10.5802409Z test_reference_numerics_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5802607Z test_reference_numerics_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.047s) 2022-12-01T10:52:10.5802781Z test_reference_numerics_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5802946Z test_reference_numerics_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5803106Z test_reference_numerics_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5803266Z test_reference_numerics_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5803421Z test_reference_numerics_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5803579Z test_reference_numerics_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5803736Z test_reference_numerics_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5803890Z test_reference_numerics_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5804027Z test_reference_numerics_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5804178Z test_reference_numerics_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.056s) 2022-12-01T10:52:10.5804327Z test_reference_numerics_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5804474Z test_reference_numerics_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5804621Z test_reference_numerics_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5804762Z test_reference_numerics_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5804900Z test_reference_numerics_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5805047Z test_reference_numerics_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5805176Z test_reference_numerics_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5805341Z test_reference_numerics_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5805587Z test_reference_numerics_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5805749Z test_reference_numerics_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.069s) 2022-12-01T10:52:10.5805906Z test_reference_numerics_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5806063Z test_reference_numerics_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5806219Z test_reference_numerics_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5806404Z test_reference_numerics_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5806557Z test_reference_numerics_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5806699Z test_reference_numerics_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5806852Z test_reference_numerics_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5807180Z test_reference_numerics_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5807406Z test_reference_numerics_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5807563Z test_reference_numerics_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.064s) 2022-12-01T10:52:10.5807719Z test_reference_numerics_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5807869Z test_reference_numerics_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5808024Z test_reference_numerics_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5808164Z test_reference_numerics_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5808313Z test_reference_numerics_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5808465Z test_reference_numerics_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5808617Z test_reference_numerics_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5808779Z test_reference_numerics_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5808930Z test_reference_numerics_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5809086Z test_reference_numerics_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.063s) 2022-12-01T10:52:10.5809245Z test_reference_numerics_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.022s) 2022-12-01T10:52:10.5809404Z test_reference_numerics_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5809547Z test_reference_numerics_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5809705Z test_reference_numerics_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5809855Z test_reference_numerics_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5810008Z test_reference_numerics_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5810157Z test_reference_numerics_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5810311Z test_reference_numerics_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5810461Z test_reference_numerics_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5810616Z test_reference_numerics_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.069s) 2022-12-01T10:52:10.5810754Z test_reference_numerics_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5810904Z test_reference_numerics_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5811116Z test_reference_numerics_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5811266Z test_reference_numerics_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5811412Z test_reference_numerics_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5811559Z test_reference_numerics_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5811710Z test_reference_numerics_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5811896Z test_reference_numerics_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5812043Z test_reference_numerics_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5812183Z test_reference_numerics_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.057s) 2022-12-01T10:52:10.5812334Z test_reference_numerics_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5812484Z test_reference_numerics_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.050s) 2022-12-01T10:52:10.5812630Z test_reference_numerics_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5812774Z test_reference_numerics_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5812920Z test_reference_numerics_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5813063Z test_reference_numerics_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5813206Z test_reference_numerics_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5813339Z test_reference_numerics_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5813485Z test_reference_numerics_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5813637Z test_reference_numerics_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.051s) 2022-12-01T10:52:10.5813795Z test_reference_numerics_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.235s) 2022-12-01T10:52:10.5813948Z test_reference_numerics_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.191s) 2022-12-01T10:52:10.5814175Z test_reference_numerics_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: overflow encountered in power 2022-12-01T10:52:10.5814270Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5814335Z ok (0.090s) 2022-12-01T10:52:10.5814478Z test_reference_numerics_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5814630Z test_reference_numerics_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.081s) 2022-12-01T10:52:10.5814776Z test_reference_numerics_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5814920Z test_reference_numerics_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.5815067Z test_reference_numerics_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5815211Z test_reference_numerics_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5815355Z test_reference_numerics_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.033s) 2022-12-01T10:52:10.5815538Z test_reference_numerics_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5815776Z test_reference_numerics_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: overflow encountered in remainder 2022-12-01T10:52:10.5815859Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5815923Z ok (0.092s) 2022-12-01T10:52:10.5816084Z test_reference_numerics_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.042s) 2022-12-01T10:52:10.5816271Z test_reference_numerics_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.051s) 2022-12-01T10:52:10.5816428Z test_reference_numerics_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.037s) 2022-12-01T10:52:10.5816578Z test_reference_numerics_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.038s) 2022-12-01T10:52:10.5816730Z test_reference_numerics_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5816883Z test_reference_numerics_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.041s) 2022-12-01T10:52:10.5817023Z test_reference_numerics_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5817223Z test_reference_numerics_small_values_add_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5817546Z test_reference_numerics_small_values_add_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.005s) 2022-12-01T10:52:10.5817723Z test_reference_numerics_small_values_add_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5817895Z test_reference_numerics_small_values_add_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5818061Z test_reference_numerics_small_values_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5818229Z test_reference_numerics_small_values_add_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5818394Z test_reference_numerics_small_values_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5818556Z test_reference_numerics_small_values_add_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5818709Z test_reference_numerics_small_values_add_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5818868Z test_reference_numerics_small_values_add_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5819025Z test_reference_numerics_small_values_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5819190Z test_reference_numerics_small_values_add_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5819353Z test_reference_numerics_small_values_add_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5819651Z test_reference_numerics_small_values_bitwise_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5819823Z test_reference_numerics_small_values_bitwise_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5819998Z test_reference_numerics_small_values_bitwise_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5820170Z test_reference_numerics_small_values_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5820331Z test_reference_numerics_small_values_bitwise_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5820503Z test_reference_numerics_small_values_bitwise_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5820796Z test_reference_numerics_small_values_bitwise_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5820966Z test_reference_numerics_small_values_bitwise_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5821137Z test_reference_numerics_small_values_bitwise_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5821304Z test_reference_numerics_small_values_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5821472Z test_reference_numerics_small_values_bitwise_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5821642Z test_reference_numerics_small_values_bitwise_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5821967Z test_reference_numerics_small_values_bitwise_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5822127Z test_reference_numerics_small_values_bitwise_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5822297Z test_reference_numerics_small_values_bitwise_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5822465Z test_reference_numerics_small_values_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5822661Z test_reference_numerics_small_values_bitwise_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5822831Z test_reference_numerics_small_values_bitwise_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5823003Z test_reference_numerics_small_values_clamp_max_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5823296Z test_reference_numerics_small_values_clamp_max_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5823467Z test_reference_numerics_small_values_clamp_max_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5823635Z test_reference_numerics_small_values_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5823798Z test_reference_numerics_small_values_clamp_max_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5823959Z test_reference_numerics_small_values_clamp_max_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5824130Z test_reference_numerics_small_values_clamp_max_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5824294Z test_reference_numerics_small_values_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5824464Z test_reference_numerics_small_values_clamp_max_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5824634Z test_reference_numerics_small_values_clamp_max_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5824807Z test_reference_numerics_small_values_clamp_min_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5825096Z test_reference_numerics_small_values_clamp_min_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5825265Z test_reference_numerics_small_values_clamp_min_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5825435Z test_reference_numerics_small_values_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5825590Z test_reference_numerics_small_values_clamp_min_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5825756Z test_reference_numerics_small_values_clamp_min_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5825924Z test_reference_numerics_small_values_clamp_min_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5826088Z test_reference_numerics_small_values_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5826258Z test_reference_numerics_small_values_clamp_min_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5826426Z test_reference_numerics_small_values_clamp_min_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5826590Z test_reference_numerics_small_values_eq_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5826869Z test_reference_numerics_small_values_eq_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5827038Z test_reference_numerics_small_values_eq_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5827195Z test_reference_numerics_small_values_eq_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5827390Z test_reference_numerics_small_values_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5827551Z test_reference_numerics_small_values_eq_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5827711Z test_reference_numerics_small_values_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5827878Z test_reference_numerics_small_values_eq_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5828070Z test_reference_numerics_small_values_eq_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5828230Z test_reference_numerics_small_values_eq_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5828382Z test_reference_numerics_small_values_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5828544Z test_reference_numerics_small_values_eq_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5828694Z test_reference_numerics_small_values_eq_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5828950Z test_reference_numerics_small_values_float_power_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: divide by zero encountered in float_power 2022-12-01T10:52:10.5829044Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5829196Z test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in float_power 2022-12-01T10:52:10.5829287Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5829351Z ok (0.001s) 2022-12-01T10:52:10.5829654Z test_reference_numerics_small_values_float_power_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5829847Z test_reference_numerics_small_values_float_power_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5830032Z test_reference_numerics_small_values_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5830207Z test_reference_numerics_small_values_float_power_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5830377Z test_reference_numerics_small_values_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5830551Z test_reference_numerics_small_values_float_power_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5830723Z test_reference_numerics_small_values_float_power_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5830894Z test_reference_numerics_small_values_float_power_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5831058Z test_reference_numerics_small_values_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5831232Z test_reference_numerics_small_values_float_power_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5831476Z test_reference_numerics_small_values_float_power_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: overflow encountered in float_power 2022-12-01T10:52:10.5831572Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5831625Z ok (0.003s) 2022-12-01T10:52:10.5831813Z test_reference_numerics_small_values_floor_divide_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5831989Z test_reference_numerics_small_values_floor_divide_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5832165Z test_reference_numerics_small_values_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5832339Z test_reference_numerics_small_values_floor_divide_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5832539Z test_reference_numerics_small_values_floor_divide_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5832712Z test_reference_numerics_small_values_floor_divide_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5832884Z test_reference_numerics_small_values_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5833059Z test_reference_numerics_small_values_floor_divide_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5833230Z test_reference_numerics_small_values_floor_divide_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5833438Z test_reference_numerics_small_values_fmod_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5833606Z test_reference_numerics_small_values_fmod_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5833773Z test_reference_numerics_small_values_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5833941Z test_reference_numerics_small_values_fmod_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5834105Z test_reference_numerics_small_values_fmod_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5834267Z test_reference_numerics_small_values_fmod_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5834425Z test_reference_numerics_small_values_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5834575Z test_reference_numerics_small_values_fmod_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5834754Z test_reference_numerics_small_values_fmod_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5834918Z test_reference_numerics_small_values_gcd_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5835080Z test_reference_numerics_small_values_gcd_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5835243Z test_reference_numerics_small_values_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5835422Z test_reference_numerics_small_values_gcd_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.003s) 2022-12-01T10:52:10.5835587Z test_reference_numerics_small_values_gcd_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5835752Z test_reference_numerics_small_values_ge_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5836037Z test_reference_numerics_small_values_ge_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5836190Z test_reference_numerics_small_values_ge_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5836349Z test_reference_numerics_small_values_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5836513Z test_reference_numerics_small_values_ge_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5836675Z test_reference_numerics_small_values_ge_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5836832Z test_reference_numerics_small_values_ge_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5836986Z test_reference_numerics_small_values_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5837144Z test_reference_numerics_small_values_ge_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5837306Z test_reference_numerics_small_values_ge_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5837471Z test_reference_numerics_small_values_gt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5837738Z test_reference_numerics_small_values_gt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5837930Z test_reference_numerics_small_values_gt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5838090Z test_reference_numerics_small_values_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5838254Z test_reference_numerics_small_values_gt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5838413Z test_reference_numerics_small_values_gt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5838568Z test_reference_numerics_small_values_gt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5838757Z test_reference_numerics_small_values_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5838916Z test_reference_numerics_small_values_gt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5839077Z test_reference_numerics_small_values_gt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5839244Z test_reference_numerics_small_values_heaviside_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5839537Z test_reference_numerics_small_values_heaviside_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5839715Z test_reference_numerics_small_values_heaviside_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5839890Z test_reference_numerics_small_values_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5840065Z test_reference_numerics_small_values_heaviside_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5840236Z test_reference_numerics_small_values_heaviside_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5840406Z test_reference_numerics_small_values_heaviside_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5840574Z test_reference_numerics_small_values_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5840742Z test_reference_numerics_small_values_heaviside_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5840900Z test_reference_numerics_small_values_heaviside_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5841074Z test_reference_numerics_small_values_isclose_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5841359Z test_reference_numerics_small_values_isclose_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5841537Z test_reference_numerics_small_values_isclose_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5841708Z test_reference_numerics_small_values_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5841876Z test_reference_numerics_small_values_isclose_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5842046Z test_reference_numerics_small_values_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5842210Z test_reference_numerics_small_values_isclose_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5842372Z test_reference_numerics_small_values_isclose_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5842529Z test_reference_numerics_small_values_isclose_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5842696Z test_reference_numerics_small_values_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5842865Z test_reference_numerics_small_values_isclose_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5843029Z test_reference_numerics_small_values_isclose_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5843261Z test_reference_numerics_small_values_jiterator_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5843460Z test_reference_numerics_small_values_jiterator_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5843663Z test_reference_numerics_small_values_jiterator_binary_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5843862Z test_reference_numerics_small_values_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5844087Z test_reference_numerics_small_values_jiterator_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5844287Z test_reference_numerics_small_values_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5844475Z test_reference_numerics_small_values_jiterator_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5844674Z test_reference_numerics_small_values_jiterator_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5844867Z test_reference_numerics_small_values_jiterator_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5845055Z test_reference_numerics_small_values_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5845249Z test_reference_numerics_small_values_jiterator_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5845439Z test_reference_numerics_small_values_jiterator_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5845652Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5845862Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5846077Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5846290Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5846501Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5846695Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5846895Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5847240Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5847535Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5847738Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5847945Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5848151Z test_reference_numerics_small_values_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5848370Z test_reference_numerics_small_values_lcm_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5848528Z test_reference_numerics_small_values_lcm_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5848686Z test_reference_numerics_small_values_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5848837Z test_reference_numerics_small_values_lcm_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5848997Z test_reference_numerics_small_values_lcm_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5849230Z test_reference_numerics_small_values_le_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5849517Z test_reference_numerics_small_values_le_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5849685Z test_reference_numerics_small_values_le_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5849853Z test_reference_numerics_small_values_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5850012Z test_reference_numerics_small_values_le_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5850174Z test_reference_numerics_small_values_le_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5850330Z test_reference_numerics_small_values_le_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5850474Z test_reference_numerics_small_values_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5850635Z test_reference_numerics_small_values_le_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5850796Z test_reference_numerics_small_values_le_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5850974Z test_reference_numerics_small_values_logical_and_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5851273Z test_reference_numerics_small_values_logical_and_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5851453Z test_reference_numerics_small_values_logical_and_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5851632Z test_reference_numerics_small_values_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5851804Z test_reference_numerics_small_values_logical_and_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5851979Z test_reference_numerics_small_values_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5852143Z test_reference_numerics_small_values_logical_and_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5852315Z test_reference_numerics_small_values_logical_and_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5852489Z test_reference_numerics_small_values_logical_and_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5852655Z test_reference_numerics_small_values_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5852828Z test_reference_numerics_small_values_logical_and_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5853000Z test_reference_numerics_small_values_logical_and_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5853169Z test_reference_numerics_small_values_logical_or_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5853462Z test_reference_numerics_small_values_logical_or_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5853638Z test_reference_numerics_small_values_logical_or_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5853842Z test_reference_numerics_small_values_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5854005Z test_reference_numerics_small_values_logical_or_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5854178Z test_reference_numerics_small_values_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5854348Z test_reference_numerics_small_values_logical_or_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5854518Z test_reference_numerics_small_values_logical_or_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5854715Z test_reference_numerics_small_values_logical_or_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5854886Z test_reference_numerics_small_values_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5855051Z test_reference_numerics_small_values_logical_or_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5855220Z test_reference_numerics_small_values_logical_or_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5855394Z test_reference_numerics_small_values_logical_xor_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5855676Z test_reference_numerics_small_values_logical_xor_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5855854Z test_reference_numerics_small_values_logical_xor_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5856030Z test_reference_numerics_small_values_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5856204Z test_reference_numerics_small_values_logical_xor_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5856373Z test_reference_numerics_small_values_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5856543Z test_reference_numerics_small_values_logical_xor_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5856710Z test_reference_numerics_small_values_logical_xor_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5856877Z test_reference_numerics_small_values_logical_xor_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5857042Z test_reference_numerics_small_values_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5857202Z test_reference_numerics_small_values_logical_xor_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5857373Z test_reference_numerics_small_values_logical_xor_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5857539Z test_reference_numerics_small_values_lt_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5857816Z test_reference_numerics_small_values_lt_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5857983Z test_reference_numerics_small_values_lt_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5858142Z test_reference_numerics_small_values_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5858297Z test_reference_numerics_small_values_lt_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5858458Z test_reference_numerics_small_values_lt_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5858618Z test_reference_numerics_small_values_lt_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5858768Z test_reference_numerics_small_values_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5858927Z test_reference_numerics_small_values_lt_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5859120Z test_reference_numerics_small_values_lt_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5859296Z test_reference_numerics_small_values_max_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5859585Z test_reference_numerics_small_values_max_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5859757Z test_reference_numerics_small_values_max_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5859926Z test_reference_numerics_small_values_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5860119Z test_reference_numerics_small_values_max_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5860291Z test_reference_numerics_small_values_max_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5860450Z test_reference_numerics_small_values_max_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5860622Z test_reference_numerics_small_values_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5860792Z test_reference_numerics_small_values_max_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5860957Z test_reference_numerics_small_values_max_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5861126Z test_reference_numerics_small_values_maximum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5861414Z test_reference_numerics_small_values_maximum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5861583Z test_reference_numerics_small_values_maximum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5861751Z test_reference_numerics_small_values_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5861920Z test_reference_numerics_small_values_maximum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5862076Z test_reference_numerics_small_values_maximum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5862238Z test_reference_numerics_small_values_maximum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5862405Z test_reference_numerics_small_values_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5862568Z test_reference_numerics_small_values_maximum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5862736Z test_reference_numerics_small_values_maximum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5862908Z test_reference_numerics_small_values_min_binary_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5863199Z test_reference_numerics_small_values_min_binary_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5863373Z test_reference_numerics_small_values_min_binary_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5863544Z test_reference_numerics_small_values_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5863712Z test_reference_numerics_small_values_min_binary_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5863870Z test_reference_numerics_small_values_min_binary_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5864037Z test_reference_numerics_small_values_min_binary_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5864199Z test_reference_numerics_small_values_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5864365Z test_reference_numerics_small_values_min_binary_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5864560Z test_reference_numerics_small_values_min_binary_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5864728Z test_reference_numerics_small_values_minimum_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5865015Z test_reference_numerics_small_values_minimum_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5865184Z test_reference_numerics_small_values_minimum_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5865348Z test_reference_numerics_small_values_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5865529Z test_reference_numerics_small_values_minimum_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5865698Z test_reference_numerics_small_values_minimum_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5865866Z test_reference_numerics_small_values_minimum_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5866034Z test_reference_numerics_small_values_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5866201Z test_reference_numerics_small_values_minimum_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5866367Z test_reference_numerics_small_values_minimum_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5866534Z test_reference_numerics_small_values_ne_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5866811Z test_reference_numerics_small_values_ne_cpu_bool (__main__.TestBinaryUfuncsCPU) ... skip: Doesn't support bool! (0.001s) 2022-12-01T10:52:10.5866978Z test_reference_numerics_small_values_ne_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5867131Z test_reference_numerics_small_values_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5867296Z test_reference_numerics_small_values_ne_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5867453Z test_reference_numerics_small_values_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5867609Z test_reference_numerics_small_values_ne_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5867769Z test_reference_numerics_small_values_ne_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5867925Z test_reference_numerics_small_values_ne_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5868087Z test_reference_numerics_small_values_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5868248Z test_reference_numerics_small_values_ne_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5868409Z test_reference_numerics_small_values_ne_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5868639Z test_reference_numerics_small_values_pow_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:52:10.5868735Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5868877Z test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5868967Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5869030Z ok (0.001s) 2022-12-01T10:52:10.5869214Z test_reference_numerics_small_values_pow_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5869398Z test_reference_numerics_small_values_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5869627Z test_reference_numerics_small_values_pow_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: overflow encountered in power 2022-12-01T10:52:10.5869740Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5869803Z ok (0.001s) 2022-12-01T10:52:10.5869971Z test_reference_numerics_small_values_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5870133Z test_reference_numerics_small_values_pow_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5870312Z test_reference_numerics_small_values_pow_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.001s) 2022-12-01T10:52:10.5870491Z test_reference_numerics_small_values_pow_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.001s) 2022-12-01T10:52:10.5870708Z test_reference_numerics_small_values_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.001s) 2022-12-01T10:52:10.5870891Z test_reference_numerics_small_values_pow_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... expected failure (0.001s) 2022-12-01T10:52:10.5871051Z test_reference_numerics_small_values_pow_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5871216Z test_reference_numerics_small_values_remainder_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5871389Z test_reference_numerics_small_values_remainder_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5871563Z test_reference_numerics_small_values_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5871736Z test_reference_numerics_small_values_remainder_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5871906Z test_reference_numerics_small_values_remainder_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5872076Z test_reference_numerics_small_values_remainder_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5872245Z test_reference_numerics_small_values_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5872414Z test_reference_numerics_small_values_remainder_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5872601Z test_reference_numerics_small_values_remainder_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5872757Z test_reference_numerics_small_values_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5872925Z test_reference_numerics_small_values_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5873091Z test_reference_numerics_small_values_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5873254Z test_reference_numerics_small_values_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5873415Z test_reference_numerics_small_values_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5873575Z test_reference_numerics_small_values_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5873735Z test_reference_numerics_small_values_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5873897Z test_reference_numerics_small_values_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5874056Z test_reference_numerics_small_values_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5874201Z test_reference_numerics_small_values_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5874362Z test_reference_numerics_small_values_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5874537Z test_reference_numerics_small_values_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5874689Z test_reference_numerics_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5874843Z test_reference_numerics_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.100s) 2022-12-01T10:52:10.5875030Z test_reference_numerics_sub_cpu_complex32 (__main__.TestBinaryUfuncsCPU) ... ok (0.122s) 2022-12-01T10:52:10.5875182Z test_reference_numerics_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.036s) 2022-12-01T10:52:10.5875331Z test_reference_numerics_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.067s) 2022-12-01T10:52:10.5875470Z test_reference_numerics_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5875613Z test_reference_numerics_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5875758Z test_reference_numerics_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5875929Z test_reference_numerics_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5876078Z test_reference_numerics_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5876226Z test_reference_numerics_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5876393Z test_reference_numerics_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.000s) 2022-12-01T10:52:10.5876554Z test_remainder_fmod_large_dividend_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.039s) 2022-12-01T10:52:10.5876712Z test_remainder_fmod_large_dividend_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5876842Z test_remainder_overflow_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:52:10.5876964Z test_rpow_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:52:10.5877114Z test_scalar_support_add_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.202s) 2022-12-01T10:52:10.5877264Z test_scalar_support_add_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5877408Z test_scalar_support_add_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5877558Z test_scalar_support_bitwise_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5877709Z test_scalar_support_bitwise_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5877860Z test_scalar_support_bitwise_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5877998Z test_scalar_support_clamp_max_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5878147Z test_scalar_support_clamp_max_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5878297Z test_scalar_support_clamp_min_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5878448Z test_scalar_support_clamp_min_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5878596Z test_scalar_support_eq_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5878741Z test_scalar_support_eq_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5878885Z test_scalar_support_eq_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5879043Z test_scalar_support_float_power_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5879199Z test_scalar_support_float_power_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5879337Z test_scalar_support_float_power_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5879492Z test_scalar_support_floor_divide_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5879643Z test_scalar_support_floor_divide_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.004s) 2022-12-01T10:52:10.5879792Z test_scalar_support_fmod_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5879932Z test_scalar_support_fmod_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5880073Z test_scalar_support_gcd_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5880337Z test_scalar_support_ge_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in greater_equal 2022-12-01T10:52:10.5880431Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5880484Z ok (0.008s) 2022-12-01T10:52:10.5880627Z test_scalar_support_ge_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5880844Z test_scalar_support_gt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in greater 2022-12-01T10:52:10.5880935Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5880996Z ok (0.008s) 2022-12-01T10:52:10.5881165Z test_scalar_support_gt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5881321Z test_scalar_support_heaviside_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5881473Z test_scalar_support_heaviside_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5881617Z test_scalar_support_isclose_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5881767Z test_scalar_support_isclose_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5881915Z test_scalar_support_isclose_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5882101Z test_scalar_support_jiterator_binary_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5882283Z test_scalar_support_jiterator_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5882462Z test_scalar_support_jiterator_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5882659Z test_scalar_support_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5882854Z test_scalar_support_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5883046Z test_scalar_support_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:52:10.5883180Z test_scalar_support_lcm_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5883402Z test_scalar_support_le_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in less_equal 2022-12-01T10:52:10.5883493Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5883556Z ok (0.008s) 2022-12-01T10:52:10.5883698Z test_scalar_support_le_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5883859Z test_scalar_support_logical_and_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5884014Z test_scalar_support_logical_and_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5884166Z test_scalar_support_logical_and_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5884311Z test_scalar_support_logical_or_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5884465Z test_scalar_support_logical_or_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5884613Z test_scalar_support_logical_or_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5884770Z test_scalar_support_logical_xor_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5884925Z test_scalar_support_logical_xor_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5885076Z test_scalar_support_logical_xor_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5885290Z test_scalar_support_lt_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:158: RuntimeWarning: invalid value encountered in less 2022-12-01T10:52:10.5885412Z expected = op.ref(l_numpy, r_numpy) 2022-12-01T10:52:10.5885475Z ok (0.007s) 2022-12-01T10:52:10.5885607Z test_scalar_support_lt_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5885760Z test_scalar_support_max_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5885909Z test_scalar_support_max_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5886057Z test_scalar_support_maximum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5886204Z test_scalar_support_maximum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5886382Z test_scalar_support_min_binary_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5886531Z test_scalar_support_min_binary_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5886679Z test_scalar_support_minimum_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5886817Z test_scalar_support_minimum_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:52:10.5887078Z test_scalar_support_ne_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5887225Z test_scalar_support_ne_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.007s) 2022-12-01T10:52:10.5887440Z test_scalar_support_ne_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5887591Z test_scalar_support_pow_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5887739Z test_scalar_support_pow_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5887880Z test_scalar_support_pow_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5888034Z test_scalar_support_remainder_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5888175Z test_scalar_support_remainder_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5888326Z test_scalar_support_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:52:10.5888471Z test_scalar_support_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5888614Z test_scalar_support_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:52:10.5888741Z test_signed_shift_cpu_int16 (__main__.TestBinaryUfuncsCPU) 2022-12-01T10:52:10.5888875Z Ensure that signed integer bit shifting works as expected. ... ok (0.062s) 2022-12-01T10:52:10.5889005Z test_signed_shift_cpu_int32 (__main__.TestBinaryUfuncsCPU) 2022-12-01T10:52:10.5889141Z Ensure that signed integer bit shifting works as expected. ... ok (0.053s) 2022-12-01T10:52:10.5889252Z test_signed_shift_cpu_int64 (__main__.TestBinaryUfuncsCPU) 2022-12-01T10:52:10.5889382Z Ensure that signed integer bit shifting works as expected. ... ok (0.053s) 2022-12-01T10:52:10.5889505Z test_signed_shift_cpu_int8 (__main__.TestBinaryUfuncsCPU) 2022-12-01T10:52:10.5889638Z Ensure that signed integer bit shifting works as expected. ... ok (0.052s) 2022-12-01T10:52:10.5889772Z test_sub_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5890112Z test_sub_cpu_bool (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 2357 2022-12-01T10:52:10.5890176Z due to: 2022-12-01T10:52:10.5890267Z Traceback (most recent call last): 2022-12-01T10:52:10.5890473Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5890572Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5890864Z RuntimeError: Subtraction, the `-` operator, with two bool tensors is not supported. Use the `^` or `logical_xor()` operator instead. 2022-12-01T10:52:10.5890874Z 2022-12-01T10:52:10.5891006Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5891064Z 2022-12-01T10:52:10.5891155Z Traceback (most recent call last): 2022-12-01T10:52:10.5891309Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5891401Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5891508Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5891513Z 2022-12-01T10:52:10.5891581Z from user code: 2022-12-01T10:52:10.5891681Z File "test_binary_ufuncs.py", line 2357, in 2022-12-01T10:52:10.5891849Z self.assertRaises(RuntimeError, lambda: m1 - m2) 2022-12-01T10:52:10.5891854Z 2022-12-01T10:52:10.5891982Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5892046Z ========== 2022-12-01T10:52:10.5892143Z ok (0.016s) 2022-12-01T10:52:10.5892279Z test_sub_cpu_complex128 (__main__.TestBinaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:52:10.5892412Z test_sub_cpu_complex64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5892531Z test_sub_cpu_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5892660Z test_sub_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5892783Z test_sub_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5892910Z test_sub_cpu_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:52:10.5893033Z test_sub_cpu_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5893155Z test_sub_cpu_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5893276Z test_sub_cpu_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5893399Z test_sub_cpu_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:52:10.5893716Z test_sub_typing_cpu (__main__.TestBinaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3615 2022-12-01T10:52:10.5893778Z due to: 2022-12-01T10:52:10.5893867Z Traceback (most recent call last): 2022-12-01T10:52:10.5894085Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5894182Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5894476Z RuntimeError: Subtraction, the `-` operator, with two bool tensors is not supported. Use the `^` or `logical_xor()` operator instead. 2022-12-01T10:52:10.5894481Z 2022-12-01T10:52:10.5894614Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5894619Z 2022-12-01T10:52:10.5894706Z Traceback (most recent call last): 2022-12-01T10:52:10.5894850Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5894944Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5895049Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5895054Z 2022-12-01T10:52:10.5895119Z from user code: 2022-12-01T10:52:10.5895226Z File "test_binary_ufuncs.py", line 3615, in 2022-12-01T10:52:10.5895325Z lambda: m1 - m2, 2022-12-01T10:52:10.5895333Z 2022-12-01T10:52:10.5895464Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5895524Z ========== 2022-12-01T10:52:10.5895742Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3621 2022-12-01T10:52:10.5895803Z due to: 2022-12-01T10:52:10.5895892Z Traceback (most recent call last): 2022-12-01T10:52:10.5896105Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5896198Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5896537Z RuntimeError: Subtraction, the `-` operator, with a bool tensor is not supported. If you are trying to invert a mask, use the `~` or `logical_not()` operator instead. 2022-12-01T10:52:10.5896542Z 2022-12-01T10:52:10.5896674Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5896679Z 2022-12-01T10:52:10.5896766Z Traceback (most recent call last): 2022-12-01T10:52:10.5896906Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5897030Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5897131Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5897136Z 2022-12-01T10:52:10.5897202Z from user code: 2022-12-01T10:52:10.5897310Z File "test_binary_ufuncs.py", line 3621, in 2022-12-01T10:52:10.5897410Z lambda: 1 - m1, 2022-12-01T10:52:10.5897415Z 2022-12-01T10:52:10.5897542Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5897604Z ========== 2022-12-01T10:52:10.5897819Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3627 2022-12-01T10:52:10.5897878Z due to: 2022-12-01T10:52:10.5897992Z Traceback (most recent call last): 2022-12-01T10:52:10.5898207Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5898299Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5898626Z RuntimeError: Subtraction, the `-` operator, with a bool tensor is not supported. If you are trying to invert a mask, use the `~` or `logical_not()` operator instead. 2022-12-01T10:52:10.5898634Z 2022-12-01T10:52:10.5898765Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5898770Z 2022-12-01T10:52:10.5898857Z Traceback (most recent call last): 2022-12-01T10:52:10.5898998Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5899093Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5899197Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5899202Z 2022-12-01T10:52:10.5899268Z from user code: 2022-12-01T10:52:10.5899378Z File "test_binary_ufuncs.py", line 3627, in 2022-12-01T10:52:10.5899476Z lambda: m2 - 1, 2022-12-01T10:52:10.5899481Z 2022-12-01T10:52:10.5899606Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5899667Z ========== 2022-12-01T10:52:10.5899884Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_ufuncs.py line 3641 2022-12-01T10:52:10.5899948Z due to: 2022-12-01T10:52:10.5900033Z Traceback (most recent call last): 2022-12-01T10:52:10.5900242Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:52:10.5900338Z return self._op(*args, **kwargs or {}) 2022-12-01T10:52:10.5900500Z RuntimeError: For integral input tensors, argument alpha must not be a floating point number. 2022-12-01T10:52:10.5900505Z 2022-12-01T10:52:10.5900639Z The above exception was the direct cause of the following exception: 2022-12-01T10:52:10.5900643Z 2022-12-01T10:52:10.5900729Z Traceback (most recent call last): 2022-12-01T10:52:10.5900872Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:52:10.5900965Z raise TorchRuntimeError() from e 2022-12-01T10:52:10.5901067Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:52:10.5901072Z 2022-12-01T10:52:10.5901137Z from user code: 2022-12-01T10:52:10.5901245Z File "test_binary_ufuncs.py", line 3641, in 2022-12-01T10:52:10.5901338Z lambda: torch.sub(m1, m2, alpha=1.0), 2022-12-01T10:52:10.5901343Z 2022-12-01T10:52:10.5901473Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:52:10.5901523Z ========== 2022-12-01T10:52:10.5901588Z ok (0.116s) 2022-12-01T10:52:10.5901801Z test_tensor_pow_tensor_cpu (__main__.TestBinaryUfuncsCPU) ... test_binary_ufuncs.py:1384: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5901914Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5902061Z test_binary_ufuncs.py:1384: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:52:10.5902174Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5902317Z test_binary_ufuncs.py:1384: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5902427Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5902591Z test_binary_ufuncs.py:1384: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:52:10.5902701Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5902844Z test_binary_ufuncs.py:1384: RuntimeWarning: invalid value encountered in power 2022-12-01T10:52:10.5902951Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5903095Z test_binary_ufuncs.py:1384: RuntimeWarning: divide by zero encountered in power 2022-12-01T10:52:10.5903201Z np_res = np.power(to_np(base), to_np(np_exponent)) 2022-12-01T10:52:10.5903264Z ok (0.255s) 2022-12-01T10:52:10.5903395Z test_trapezoid_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.470s) 2022-12-01T10:52:10.5903557Z test_true_divide_out_cpu_bfloat16 (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5903697Z test_true_divide_out_cpu_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5903839Z test_type_promotion___radd___cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.265s) 2022-12-01T10:52:10.5903979Z test_type_promotion___rand___cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5904140Z test_type_promotion___rdiv___cpu (__main__.TestBinaryUfuncsCPU) ... expected failure (0.013s) 2022-12-01T10:52:10.5904279Z test_type_promotion___rmod___cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5904417Z test_type_promotion___rmul___cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5904557Z test_type_promotion___ror___cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:52:10.5905152Z test_type_promotion___rpow___cpu (__main__.TestBinaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:863: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:52:10.5905288Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-12-01T10:52:10.5905352Z ok (0.013s) 2022-12-01T10:52:10.5905493Z test_type_promotion___rsub___cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5905634Z test_type_promotion___rxor___cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:52:10.5905778Z test_type_promotion__refs_add_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.045s) 2022-12-01T10:52:10.5905923Z test_type_promotion__refs_atan2_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5906074Z test_type_promotion__refs_bitwise_and_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5906231Z test_type_promotion__refs_bitwise_left_shift_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5906372Z test_type_promotion__refs_bitwise_or_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5906522Z test_type_promotion__refs_bitwise_xor_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5906674Z test_type_promotion__refs_clamp_max_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5906823Z test_type_promotion__refs_clamp_min_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5906988Z test_type_promotion__refs_copysign_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.009s) 2022-12-01T10:52:10.5907149Z test_type_promotion__refs_div_floor_rounding_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5907311Z test_type_promotion__refs_div_no_rounding_mode_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5907472Z test_type_promotion__refs_div_trunc_rounding_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5907604Z test_type_promotion__refs_eq_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:52:10.5907774Z test_type_promotion__refs_float_power_cpu (__main__.TestBinaryUfuncsCPU) ... expected failure (0.011s) 2022-12-01T10:52:10.5907927Z test_type_promotion__refs_floor_divide_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.090s) 2022-12-01T10:52:10.5908097Z test_type_promotion__refs_fmax_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5908237Z test_type_promotion__refs_fmin_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5908374Z test_type_promotion__refs_fmod_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5908517Z test_type_promotion__refs_gcd_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:52:10.5908658Z test_type_promotion__refs_ge_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5908798Z test_type_promotion__refs_gt_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5908979Z test_type_promotion__refs_heaviside_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.051s) 2022-12-01T10:52:10.5909127Z test_type_promotion__refs_hypot_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5909274Z test_type_promotion__refs_igamma_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5909424Z test_type_promotion__refs_igammac_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5909589Z test_type_promotion__refs_isclose_cpu (__main__.TestBinaryUfuncsCPU) ... expected failure (0.011s) 2022-12-01T10:52:10.5909733Z test_type_promotion__refs_lcm_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:52:10.5909874Z test_type_promotion__refs_le_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5910021Z test_type_promotion__refs_logical_and_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5910162Z test_type_promotion__refs_logical_or_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.025s) 2022-12-01T10:52:10.5910311Z test_type_promotion__refs_logical_xor_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5910450Z test_type_promotion__refs_lt_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5910596Z test_type_promotion__refs_maximum_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5910742Z test_type_promotion__refs_minimum_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5910882Z test_type_promotion__refs_mul_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5911021Z test_type_promotion__refs_ne_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.026s) 2022-12-01T10:52:10.5911169Z test_type_promotion__refs_nextafter_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5911299Z test_type_promotion__refs_pow_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5911450Z test_type_promotion__refs_remainder_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5911589Z test_type_promotion__refs_rsub_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5911742Z test_type_promotion__refs_special_zeta_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5911884Z test_type_promotion__refs_sub_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5912040Z test_type_promotion__refs_true_divide_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5912177Z test_type_promotion_add_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5912316Z test_type_promotion_atan2_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5912464Z test_type_promotion_bitwise_and_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5912624Z test_type_promotion_bitwise_left_shift_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.010s) 2022-12-01T10:52:10.5912769Z test_type_promotion_bitwise_or_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5912942Z test_type_promotion_bitwise_right_shift_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.010s) 2022-12-01T10:52:10.5913087Z test_type_promotion_bitwise_xor_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5913257Z test_type_promotion_clamp_max_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5913398Z test_type_promotion_clamp_min_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:52:10.5913560Z test_type_promotion_complex_cpu (__main__.TestBinaryUfuncsCPU) ... expected failure (0.014s) 2022-12-01T10:52:10.5913703Z test_type_promotion_copysign_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5913848Z test_type_promotion_div_floor_rounding_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5914002Z test_type_promotion_div_no_rounding_mode_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.032s) 2022-12-01T10:52:10.5914176Z test_type_promotion_div_trunc_rounding_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5914315Z test_type_promotion_eq_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5914478Z test_type_promotion_float_power_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.010s) 2022-12-01T10:52:10.5914625Z test_type_promotion_floor_divide_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.021s) 2022-12-01T10:52:10.5914778Z test_type_promotion_fmax_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.009s) 2022-12-01T10:52:10.5914924Z test_type_promotion_fmin_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.010s) 2022-12-01T10:52:10.5915063Z test_type_promotion_fmod_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5915193Z test_type_promotion_gcd_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5915327Z test_type_promotion_ge_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5915464Z test_type_promotion_gt_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5915626Z test_type_promotion_heaviside_cpu (__main__.TestBinaryUfuncsCPU) ... expected failure (0.014s) 2022-12-01T10:52:10.5915766Z test_type_promotion_hypot_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5915908Z test_type_promotion_igamma_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5916050Z test_type_promotion_igammac_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5916210Z test_type_promotion_isclose_cpu (__main__.TestBinaryUfuncsCPU) ... expected failure (0.012s) 2022-12-01T10:52:10.5916377Z test_type_promotion_jiterator_binary_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.010s) 2022-12-01T10:52:10.5916567Z test_type_promotion_jiterator_binary_return_by_ref_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Only runs on cuda (0.010s) 2022-12-01T10:52:10.5916706Z test_type_promotion_lcm_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5916849Z test_type_promotion_ldexp_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.035s) 2022-12-01T10:52:10.5916984Z test_type_promotion_le_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5917129Z test_type_promotion_logical_and_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5917276Z test_type_promotion_logical_or_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5917419Z test_type_promotion_logical_xor_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5917544Z test_type_promotion_lt_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5917687Z test_type_promotion_max_binary_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5917829Z test_type_promotion_maximum_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5917972Z test_type_promotion_min_binary_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5918114Z test_type_promotion_minimum_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5918253Z test_type_promotion_mul_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:52:10.5918387Z test_type_promotion_ne_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:52:10.5918558Z test_type_promotion_nextafter_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:52:10.5918703Z test_type_promotion_polar_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipped! (0.010s) 2022-12-01T10:52:10.5918840Z test_type_promotion_pow_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:52:10.5918985Z test_type_promotion_remainder_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5919120Z test_type_promotion_rsub_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:52:10.5919293Z test_type_promotion_special_chebyshev_polynomial_t_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5919493Z test_type_promotion_special_chebyshev_polynomial_u_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5919848Z test_type_promotion_special_chebyshev_polynomial_v_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.010s) 2022-12-01T10:52:10.5920190Z test_type_promotion_special_chebyshev_polynomial_w_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.009s) 2022-12-01T10:52:10.5920357Z test_type_promotion_special_hermite_polynomial_h_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5920516Z test_type_promotion_special_hermite_polynomial_he_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5920681Z test_type_promotion_special_laguerre_polynomial_l_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5921029Z test_type_promotion_special_legendre_polynomial_p_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.009s) 2022-12-01T10:52:10.5921391Z test_type_promotion_special_shifted_chebyshev_polynomial_t_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.009s) 2022-12-01T10:52:10.5921751Z test_type_promotion_special_shifted_chebyshev_polynomial_u_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.009s) 2022-12-01T10:52:10.5922107Z test_type_promotion_special_shifted_chebyshev_polynomial_v_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.009s) 2022-12-01T10:52:10.5922457Z test_type_promotion_special_shifted_chebyshev_polynomial_w_cpu (__main__.TestBinaryUfuncsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.010s) 2022-12-01T10:52:10.5922608Z test_type_promotion_special_xlog1py_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5922760Z test_type_promotion_special_zeta_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5922896Z test_type_promotion_sub_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.030s) 2022-12-01T10:52:10.5923043Z test_type_promotion_true_divide_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:52:10.5923176Z test_type_promotion_xlogy_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5923320Z test_xlogy_xlog1py_bfloat16_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.517s) 2022-12-01T10:52:10.5923464Z test_xlogy_xlog1py_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... ok (2.369s) 2022-12-01T10:52:10.5923609Z test_xlogy_xlog1py_cpu_bool_float16 (__main__.TestBinaryUfuncsCPU) ... ok (1.766s) 2022-12-01T10:52:10.5923748Z test_xlogy_xlog1py_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... ok (1.039s) 2022-12-01T10:52:10.5923882Z test_xlogy_xlog1py_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.204s) 2022-12-01T10:52:10.5924025Z test_xlogy_xlog1py_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.167s) 2022-12-01T10:52:10.5924161Z test_xlogy_xlog1py_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.167s) 2022-12-01T10:52:10.5924291Z test_xlogy_xlog1py_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.167s) 2022-12-01T10:52:10.5924460Z test_xlogy_xlog1py_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.168s) 2022-12-01T10:52:10.5924602Z test_xlogy_xlog1py_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5924744Z test_xlogy_xlog1py_cpu_float16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5924886Z test_xlogy_xlog1py_cpu_float16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5925031Z test_xlogy_xlog1py_cpu_float16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5925171Z test_xlogy_xlog1py_cpu_float16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5925343Z test_xlogy_xlog1py_cpu_float16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5925474Z test_xlogy_xlog1py_cpu_float16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5925613Z test_xlogy_xlog1py_cpu_float16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5925757Z test_xlogy_xlog1py_cpu_float16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5925897Z test_xlogy_xlog1py_cpu_float16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5926041Z test_xlogy_xlog1py_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5926184Z test_xlogy_xlog1py_cpu_float32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5926328Z test_xlogy_xlog1py_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5926470Z test_xlogy_xlog1py_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5926604Z test_xlogy_xlog1py_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5926748Z test_xlogy_xlog1py_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5926886Z test_xlogy_xlog1py_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5927164Z test_xlogy_xlog1py_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5927375Z test_xlogy_xlog1py_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5927519Z test_xlogy_xlog1py_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5927664Z test_xlogy_xlog1py_cpu_float64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5927802Z test_xlogy_xlog1py_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5927945Z test_xlogy_xlog1py_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.009s) 2022-12-01T10:52:10.5928080Z test_xlogy_xlog1py_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5928220Z test_xlogy_xlog1py_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5928355Z test_xlogy_xlog1py_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5928497Z test_xlogy_xlog1py_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5928636Z test_xlogy_xlog1py_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.013s) 2022-12-01T10:52:10.5928776Z test_xlogy_xlog1py_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5928917Z test_xlogy_xlog1py_cpu_int16_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5929053Z test_xlogy_xlog1py_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5929178Z test_xlogy_xlog1py_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5929323Z test_xlogy_xlog1py_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5929459Z test_xlogy_xlog1py_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5929594Z test_xlogy_xlog1py_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5929785Z test_xlogy_xlog1py_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5929925Z test_xlogy_xlog1py_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5930064Z test_xlogy_xlog1py_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5930203Z test_xlogy_xlog1py_cpu_int32_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5930332Z test_xlogy_xlog1py_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5930468Z test_xlogy_xlog1py_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5930642Z test_xlogy_xlog1py_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5930781Z test_xlogy_xlog1py_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5930922Z test_xlogy_xlog1py_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5931061Z test_xlogy_xlog1py_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5931199Z test_xlogy_xlog1py_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5931336Z test_xlogy_xlog1py_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5931476Z test_xlogy_xlog1py_cpu_int64_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5931604Z test_xlogy_xlog1py_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5931747Z test_xlogy_xlog1py_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5931886Z test_xlogy_xlog1py_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5932024Z test_xlogy_xlog1py_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5932158Z test_xlogy_xlog1py_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5932298Z test_xlogy_xlog1py_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5932435Z test_xlogy_xlog1py_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5932574Z test_xlogy_xlog1py_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5932707Z test_xlogy_xlog1py_cpu_int8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5932848Z test_xlogy_xlog1py_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5932988Z test_xlogy_xlog1py_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5933130Z test_xlogy_xlog1py_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5933265Z test_xlogy_xlog1py_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5933398Z test_xlogy_xlog1py_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5933536Z test_xlogy_xlog1py_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5933677Z test_xlogy_xlog1py_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5933804Z test_xlogy_xlog1py_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5933947Z test_xlogy_xlog1py_cpu_uint8_float16 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5934086Z test_xlogy_xlog1py_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5934226Z test_xlogy_xlog1py_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.020s) 2022-12-01T10:52:10.5934367Z test_xlogy_xlog1py_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5934501Z test_xlogy_xlog1py_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... ok (0.024s) 2022-12-01T10:52:10.5934635Z test_xlogy_xlog1py_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5934843Z test_xlogy_xlog1py_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5934969Z test_xlogy_xlog1py_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:52:10.5935124Z test_xlogy_xlog1py_gradients_cpu_float64 (__main__.TestBinaryUfuncsCPU) ... ok (0.069s) 2022-12-01T10:52:10.5935280Z test_xlogy_xlog1py_scalar_type_promotion_cpu (__main__.TestBinaryUfuncsCPU) ... ok (0.074s) 2022-12-01T10:52:10.5935483Z test_zeta_cpu_bool_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5935714Z test_zeta_cpu_bool_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5935918Z test_zeta_cpu_bool_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5936113Z test_zeta_cpu_bool_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5936309Z test_zeta_cpu_bool_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5936505Z test_zeta_cpu_bool_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5936701Z test_zeta_cpu_bool_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5936892Z test_zeta_cpu_bool_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5937090Z test_zeta_cpu_float32_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5937290Z test_zeta_cpu_float32_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5937493Z test_zeta_cpu_float32_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5937691Z test_zeta_cpu_float32_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5937889Z test_zeta_cpu_float32_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5938088Z test_zeta_cpu_float32_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5938282Z test_zeta_cpu_float32_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5938480Z test_zeta_cpu_float32_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5938674Z test_zeta_cpu_float64_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5938872Z test_zeta_cpu_float64_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5939059Z test_zeta_cpu_float64_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5939255Z test_zeta_cpu_float64_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5939450Z test_zeta_cpu_float64_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5939638Z test_zeta_cpu_float64_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5939857Z test_zeta_cpu_float64_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5940052Z test_zeta_cpu_float64_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5940245Z test_zeta_cpu_int16_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5940469Z test_zeta_cpu_int16_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5940662Z test_zeta_cpu_int16_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5940857Z test_zeta_cpu_int16_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5941053Z test_zeta_cpu_int16_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5941234Z test_zeta_cpu_int16_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5941433Z test_zeta_cpu_int16_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5941629Z test_zeta_cpu_int16_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5941820Z test_zeta_cpu_int32_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5942019Z test_zeta_cpu_int32_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5942217Z test_zeta_cpu_int32_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5942407Z test_zeta_cpu_int32_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:52:10.5942598Z test_zeta_cpu_int32_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5942789Z test_zeta_cpu_int32_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5942977Z test_zeta_cpu_int32_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5943157Z test_zeta_cpu_int32_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5943351Z test_zeta_cpu_int64_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5943547Z test_zeta_cpu_int64_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5943741Z test_zeta_cpu_int64_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5943933Z test_zeta_cpu_int64_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:52:10.5944118Z test_zeta_cpu_int64_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5944307Z test_zeta_cpu_int64_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5944524Z test_zeta_cpu_int64_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:52:10.5944714Z test_zeta_cpu_int64_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5944909Z test_zeta_cpu_int8_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5945108Z test_zeta_cpu_int8_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5945331Z test_zeta_cpu_int8_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5945523Z test_zeta_cpu_int8_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5945715Z test_zeta_cpu_int8_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5945907Z test_zeta_cpu_int8_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5946101Z test_zeta_cpu_int8_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:52:10.5946294Z test_zeta_cpu_int8_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5946485Z test_zeta_cpu_uint8_bool (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5946683Z test_zeta_cpu_uint8_float32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5946884Z test_zeta_cpu_uint8_float64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5947081Z test_zeta_cpu_uint8_int16 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:52:10.5947276Z test_zeta_cpu_uint8_int32 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5947458Z test_zeta_cpu_uint8_int64 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:52:10.5947657Z test_zeta_cpu_uint8_int8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5947849Z test_zeta_cpu_uint8_uint8 (__main__.TestBinaryUfuncsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-12-01T10:52:10.5947859Z 2022-12-01T10:52:10.5948075Z ---------------------------------------------------------------------- 2022-12-01T10:52:10.5948153Z Ran 8284 tests in 93.642s 2022-12-01T10:52:10.5948159Z 2022-12-01T10:52:10.5948253Z OK (skipped=902, expected failures=14) 2022-12-01T10:52:10.5948258Z 2022-12-01T10:52:10.5948338Z Generating XML reports... 2022-12-01T10:52:10.5948643Z Generated XML report: test-reports/python-unittest/test_binary_ufuncs/TEST-TestBinaryUfuncsCPU-20221201105035.xml 2022-12-01T10:52:10.5948649Z 2022-12-01T10:52:10.5949017Z ##[endgroup] 2022-12-01T10:52:10.5949297Z FINISHED PRINTING LOG FILE of test_binary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_binary_ufuncs_wyo5218p) 2022-12-01T10:52:10.5949305Z 2022-12-01T10:52:10.5949501Z Running distributions/test_distributions ... [2022-12-01 10:52:10.431066] 2022-12-01T10:52:10.5949862Z Executing ['/opt/conda/bin/python', '-bb', 'distributions/test_distributions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:52:10.431396] 2022-12-01T10:53:15.3408680Z 2022-12-01T10:53:15.3409267Z Expand the folded group to see the log file of distributions/test_distributions 2022-12-01T10:53:15.3410413Z ##[group]PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_yi8rh5r7) 2022-12-01T10:53:15.3411529Z Test results will be stored in test-reports/python-unittest/distributions.test_distributions 2022-12-01T10:53:15.3411974Z 2022-12-01T10:53:15.3412113Z Running tests... 2022-12-01T10:53:15.3412774Z ---------------------------------------------------------------------- 2022-12-01T10:53:15.3450272Z test_cdf (__main__.TestAgainstScipy) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __call__ /opt/conda/lib/python3.7/site-packages/scipy/stats/_multivariate.py line 1749 2022-12-01T10:53:15.3450827Z due to: 2022-12-01T10:53:15.3451197Z Traceback (most recent call last): 2022-12-01T10:53:15.3451592Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builtin.py", line 352, in call_function 2022-12-01T10:53:15.3451905Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:53:15.3452146Z IndexError: list index out of range 2022-12-01T10:53:15.3463357Z 2022-12-01T10:53:15.3463675Z from user code: 2022-12-01T10:53:15.3464314Z File "/opt/conda/lib/python3.7/site-packages/scipy/stats/_multivariate.py", line 1756, in __call__ 2022-12-01T10:53:15.3464804Z return wishart_frozen(df, scale, seed) 2022-12-01T10:53:15.3465021Z 2022-12-01T10:53:15.3465235Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3465579Z ========== 2022-12-01T10:53:15.3466320Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /opt/conda/lib/python3.7/site-packages/scipy/stats/_multivariate.py line 2268 2022-12-01T10:53:15.3466795Z due to: 2022-12-01T10:53:15.3467090Z Traceback (most recent call last): 2022-12-01T10:53:15.3467584Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builtin.py", line 352, in call_function 2022-12-01T10:53:15.3468158Z **{k: v.as_python_constant() for k, v in kwargs.items()}, 2022-12-01T10:53:15.3468556Z IndexError: list index out of range 2022-12-01T10:53:15.3468768Z 2022-12-01T10:53:15.3468878Z from user code: 2022-12-01T10:53:15.3469479Z File "/opt/conda/lib/python3.7/site-packages/scipy/stats/_multivariate.py", line 2269, in __init__ 2022-12-01T10:53:15.3469953Z self._dist = wishart_gen(seed) 2022-12-01T10:53:15.3470146Z 2022-12-01T10:53:15.3470356Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3470680Z ========== 2022-12-01T10:53:15.3471098Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cdf distributions/test_distributions.py line 4778 2022-12-01T10:53:15.3471366Z due to: 2022-12-01T10:53:15.3471536Z Traceback (most recent call last): 2022-12-01T10:53:15.3471824Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3472107Z member = getattr(self.value, name) 2022-12-01T10:53:15.3472424Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3472576Z 2022-12-01T10:53:15.3472646Z from user code: 2022-12-01T10:53:15.3472879Z File "distributions/test_distributions.py", line 4780, in test_cdf 2022-12-01T10:53:15.3473132Z samples = pytorch_dist.sample((5,)) 2022-12-01T10:53:15.3473262Z 2022-12-01T10:53:15.3473446Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3473707Z ========== 2022-12-01T10:53:15.3474078Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3474387Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3474589Z ok (1.585s) 2022-12-01T10:53:15.3474798Z test_icdf (__main__.TestAgainstScipy) ... ok (0.215s) 2022-12-01T10:53:15.3475048Z test_mean (__main__.TestAgainstScipy) ... ok (1.375s) 2022-12-01T10:53:15.3476140Z test_variance_stddev (__main__.TestAgainstScipy) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-12-01T10:53:15.3477084Z return torch.as_tensor(tensor_like) 2022-12-01T10:53:15.3477262Z ok (0.179s) 2022-12-01T10:53:15.3477487Z test_params_constraints (__main__.TestConstraints) ... ok (0.334s) 2022-12-01T10:53:15.3478053Z test_support_constraints (__main__.TestConstraints) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3478411Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3478612Z ok (0.067s) 2022-12-01T10:53:15.3479189Z test_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_bernoulli_shape_scalar_params distributions/test_distributions.py line 3474 2022-12-01T10:53:15.3479550Z due to: 2022-12-01T10:53:15.3479717Z Traceback (most recent call last): 2022-12-01T10:53:15.3479992Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3480416Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3480875Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3482481Z 2022-12-01T10:53:15.3482631Z from user code: 2022-12-01T10:53:15.3483050Z File "distributions/test_distributions.py", line 3475, in test_bernoulli_shape_scalar_params 2022-12-01T10:53:15.3483496Z bernoulli = Bernoulli(0.3) 2022-12-01T10:53:15.3483709Z 2022-12-01T10:53:15.3483927Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3484315Z ========== 2022-12-01T10:53:15.3484609Z ok (0.023s) 2022-12-01T10:53:15.3485703Z test_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3488 2022-12-01T10:53:15.3486402Z due to: 2022-12-01T10:53:15.3486742Z Traceback (most recent call last): 2022-12-01T10:53:15.3487346Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3487637Z member = getattr(self.value, name) 2022-12-01T10:53:15.3487963Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3488127Z 2022-12-01T10:53:15.3488184Z from user code: 2022-12-01T10:53:15.3488469Z File "distributions/test_distributions.py", line 3489, in 2022-12-01T10:53:15.3488812Z self.assertEqual(bernoulli.sample((3, 2)).size(), torch.Size((3, 2, 3, 2))) 2022-12-01T10:53:15.3488981Z 2022-12-01T10:53:15.3489114Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3489318Z ========== 2022-12-01T10:53:15.3489475Z ok (0.051s) 2022-12-01T10:53:15.3490002Z test_beta_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3518 2022-12-01T10:53:15.3490351Z due to: 2022-12-01T10:53:15.3490533Z Traceback (most recent call last): 2022-12-01T10:53:15.3490825Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3491088Z member = getattr(self.value, name) 2022-12-01T10:53:15.3491386Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3491539Z 2022-12-01T10:53:15.3491608Z from user code: 2022-12-01T10:53:15.3492010Z File "distributions/test_distributions.py", line 3519, in 2022-12-01T10:53:15.3492324Z self.assertEqual(dist.sample((3, 2)).size(), torch.Size((3, 2))) 2022-12-01T10:53:15.3492485Z 2022-12-01T10:53:15.3492619Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3492839Z ========== 2022-12-01T10:53:15.3492985Z ok (0.045s) 2022-12-01T10:53:15.3493519Z test_beta_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3529 2022-12-01T10:53:15.3493881Z due to: 2022-12-01T10:53:15.3494113Z Traceback (most recent call last): 2022-12-01T10:53:15.3494392Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3494671Z member = getattr(self.value, name) 2022-12-01T10:53:15.3494967Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3495110Z 2022-12-01T10:53:15.3495181Z from user code: 2022-12-01T10:53:15.3495457Z File "distributions/test_distributions.py", line 3530, in 2022-12-01T10:53:15.3495786Z self.assertEqual(dist.sample((3, 2)).size(), torch.Size((3, 2, 3, 2))) 2022-12-01T10:53:15.3495949Z 2022-12-01T10:53:15.3496068Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3496284Z ========== 2022-12-01T10:53:15.3496443Z ok (0.059s) 2022-12-01T10:53:15.3496915Z test_binomial_shape (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binomial_shape distributions/test_distributions.py line 3535 2022-12-01T10:53:15.3497238Z due to: 2022-12-01T10:53:15.3497421Z Traceback (most recent call last): 2022-12-01T10:53:15.3497699Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3498117Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3498571Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3498774Z 2022-12-01T10:53:15.3498843Z from user code: 2022-12-01T10:53:15.3499089Z File "distributions/test_distributions.py", line 3536, in test_binomial_shape 2022-12-01T10:53:15.3499346Z dist = Binomial(10, torch.tensor([0.6, 0.3])) 2022-12-01T10:53:15.3499481Z 2022-12-01T10:53:15.3499611Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3499897Z ========== 2022-12-01T10:53:15.3500044Z ok (0.010s) 2022-12-01T10:53:15.3500591Z test_binomial_shape_vectorized_n (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3548 2022-12-01T10:53:15.3500965Z due to: 2022-12-01T10:53:15.3501134Z Traceback (most recent call last): 2022-12-01T10:53:15.3501424Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3501700Z member = getattr(self.value, name) 2022-12-01T10:53:15.3502010Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3502160Z 2022-12-01T10:53:15.3502230Z from user code: 2022-12-01T10:53:15.3502508Z File "distributions/test_distributions.py", line 3549, in 2022-12-01T10:53:15.3502836Z self.assertEqual(dist.sample((3, 2)).size(), torch.Size((3, 2, 2, 3))) 2022-12-01T10:53:15.3502999Z 2022-12-01T10:53:15.3503117Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3503336Z ========== 2022-12-01T10:53:15.3503494Z ok (0.053s) 2022-12-01T10:53:15.3504009Z test_categorical_shape (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3568 2022-12-01T10:53:15.3505842Z due to: 2022-12-01T10:53:15.3506132Z Traceback (most recent call last): 2022-12-01T10:53:15.3506593Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3507050Z member = getattr(self.value, name) 2022-12-01T10:53:15.3507540Z AttributeError: 'tuple' object has no attribute 'probs' 2022-12-01T10:53:15.3507818Z 2022-12-01T10:53:15.3507951Z from user code: 2022-12-01T10:53:15.3508457Z File "distributions/test_distributions.py", line 3569, in 2022-12-01T10:53:15.3509044Z self.assertEqual(dist.sample((3, 2)).size(), torch.Size((3, 2,))) 2022-12-01T10:53:15.3509323Z 2022-12-01T10:53:15.3509660Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3509915Z ========== 2022-12-01T10:53:15.3510097Z ok (0.069s) 2022-12-01T10:53:15.3510734Z test_cauchy_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cauchy_shape_scalar_params distributions/test_distributions.py line 3609 2022-12-01T10:53:15.3511354Z due to: 2022-12-01T10:53:15.3511649Z Traceback (most recent call last): 2022-12-01T10:53:15.3512145Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3512934Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3513774Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3514140Z 2022-12-01T10:53:15.3514275Z from user code: 2022-12-01T10:53:15.3514696Z File "distributions/test_distributions.py", line 3610, in test_cauchy_shape_scalar_params 2022-12-01T10:53:15.3514941Z cauchy = Cauchy(0, 1) 2022-12-01T10:53:15.3515054Z 2022-12-01T10:53:15.3515184Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3515403Z ========== 2022-12-01T10:53:15.3515549Z ok (0.008s) 2022-12-01T10:53:15.3515799Z test_cauchy_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.105s) 2022-12-01T10:53:15.3516385Z test_chi2_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_chi2_shape_scalar_params distributions/test_distributions.py line 3698 2022-12-01T10:53:15.3516723Z due to: 2022-12-01T10:53:15.3516904Z Traceback (most recent call last): 2022-12-01T10:53:15.3517182Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3517607Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3518042Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3518243Z 2022-12-01T10:53:15.3518316Z from user code: 2022-12-01T10:53:15.3518572Z File "distributions/test_distributions.py", line 3699, in test_chi2_shape_scalar_params 2022-12-01T10:53:15.3518807Z chi2 = Chi2(1) 2022-12-01T10:53:15.3518913Z 2022-12-01T10:53:15.3519044Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3519262Z ========== 2022-12-01T10:53:15.3519406Z ok (0.010s) 2022-12-01T10:53:15.3519908Z test_chi2_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_chi2_shape_tensor_params distributions/test_distributions.py line 3708 2022-12-01T10:53:15.3520255Z due to: 2022-12-01T10:53:15.3520436Z Traceback (most recent call last): 2022-12-01T10:53:15.3520702Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3521127Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3521571Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3521773Z 2022-12-01T10:53:15.3521909Z from user code: 2022-12-01T10:53:15.3522154Z File "distributions/test_distributions.py", line 3709, in test_chi2_shape_tensor_params 2022-12-01T10:53:15.3522425Z chi2 = Chi2(torch.tensor([1., 1.])) 2022-12-01T10:53:15.3522554Z 2022-12-01T10:53:15.3522686Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3522888Z ========== 2022-12-01T10:53:15.3523045Z ok (0.011s) 2022-12-01T10:53:15.3523602Z test_continuous_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_continuous_bernoulli_shape_scalar_params distributions/test_distributions.py line 3892 2022-12-01T10:53:15.3524041Z due to: 2022-12-01T10:53:15.3524250Z Traceback (most recent call last): 2022-12-01T10:53:15.3524532Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3524964Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3525403Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3525641Z 2022-12-01T10:53:15.3525700Z from user code: 2022-12-01T10:53:15.3525980Z File "distributions/test_distributions.py", line 3893, in test_continuous_bernoulli_shape_scalar_params 2022-12-01T10:53:15.3526297Z continuous_bernoulli = ContinuousBernoulli(0.3) 2022-12-01T10:53:15.3526445Z 2022-12-01T10:53:15.3526578Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3526782Z ========== 2022-12-01T10:53:15.3526941Z ok (0.009s) 2022-12-01T10:53:15.3528089Z test_continuous_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3906 2022-12-01T10:53:15.3528748Z due to: 2022-12-01T10:53:15.3529047Z Traceback (most recent call last): 2022-12-01T10:53:15.3529530Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3529982Z member = getattr(self.value, name) 2022-12-01T10:53:15.3530512Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3530782Z 2022-12-01T10:53:15.3530904Z from user code: 2022-12-01T10:53:15.3531388Z File "distributions/test_distributions.py", line 3907, in 2022-12-01T10:53:15.3531969Z self.assertEqual(continuous_bernoulli.sample((3, 2)).size(), torch.Size((3, 2, 3, 2))) 2022-12-01T10:53:15.3532264Z 2022-12-01T10:53:15.3532481Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3532842Z ========== 2022-12-01T10:53:15.3533083Z ok (0.055s) 2022-12-01T10:53:15.3533926Z test_dirichlet_shape (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3659 2022-12-01T10:53:15.3534499Z due to: 2022-12-01T10:53:15.3534803Z Traceback (most recent call last): 2022-12-01T10:53:15.3535261Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3535716Z member = getattr(self.value, name) 2022-12-01T10:53:15.3536206Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3536458Z 2022-12-01T10:53:15.3536574Z from user code: 2022-12-01T10:53:15.3536988Z File "distributions/test_distributions.py", line 3660, in 2022-12-01T10:53:15.3537525Z self.assertEqual(dist.sample((5, 4)).size(), torch.Size((5, 4, 3, 2))) 2022-12-01T10:53:15.3537821Z 2022-12-01T10:53:15.3538076Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3538315Z ========== 2022-12-01T10:53:15.3538471Z ok (0.053s) 2022-12-01T10:53:15.3538705Z test_entropy_shape (__main__.TestDistributionShapes) ... ok (0.127s) 2022-12-01T10:53:15.3539291Z test_exponential_shape_scalar_param (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_exponential_shape_scalar_param distributions/test_distributions.py line 3852 2022-12-01T10:53:15.3539763Z due to: 2022-12-01T10:53:15.3539952Z Traceback (most recent call last): 2022-12-01T10:53:15.3540233Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3540653Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3541108Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3541310Z 2022-12-01T10:53:15.3541426Z from user code: 2022-12-01T10:53:15.3542226Z File "distributions/test_distributions.py", line 3853, in test_exponential_shape_scalar_param 2022-12-01T10:53:15.3542482Z expon = Exponential(1.) 2022-12-01T10:53:15.3542602Z 2022-12-01T10:53:15.3542733Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3542953Z ========== 2022-12-01T10:53:15.3543096Z ok (0.008s) 2022-12-01T10:53:15.3543645Z test_exponential_shape_tensor_param (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3866 2022-12-01T10:53:15.3544026Z due to: 2022-12-01T10:53:15.3544195Z Traceback (most recent call last): 2022-12-01T10:53:15.3544481Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3544756Z member = getattr(self.value, name) 2022-12-01T10:53:15.3545053Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3545193Z 2022-12-01T10:53:15.3545263Z from user code: 2022-12-01T10:53:15.3545543Z File "distributions/test_distributions.py", line 3867, in 2022-12-01T10:53:15.3545874Z self.assertEqual(expon.sample((3, 2)).size(), torch.Size((3, 2, 2))) 2022-12-01T10:53:15.3546038Z 2022-12-01T10:53:15.3546155Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3546369Z ========== 2022-12-01T10:53:15.3546528Z ok (0.049s) 2022-12-01T10:53:15.3547028Z test_gamma_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_gamma_shape_scalar_params distributions/test_distributions.py line 3678 2022-12-01T10:53:15.3547382Z due to: 2022-12-01T10:53:15.3547563Z Traceback (most recent call last): 2022-12-01T10:53:15.3547840Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3548261Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3548708Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3548909Z 2022-12-01T10:53:15.3548982Z from user code: 2022-12-01T10:53:15.3549228Z File "distributions/test_distributions.py", line 3679, in test_gamma_shape_scalar_params 2022-12-01T10:53:15.3549481Z gamma = Gamma(1, 1) 2022-12-01T10:53:15.3549591Z 2022-12-01T10:53:15.3549722Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3549937Z ========== 2022-12-01T10:53:15.3550080Z ok (0.008s) 2022-12-01T10:53:15.3550612Z test_gamma_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3692 2022-12-01T10:53:15.3550974Z due to: 2022-12-01T10:53:15.3551143Z Traceback (most recent call last): 2022-12-01T10:53:15.3551438Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3551797Z member = getattr(self.value, name) 2022-12-01T10:53:15.3552084Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3552309Z 2022-12-01T10:53:15.3552414Z from user code: 2022-12-01T10:53:15.3552696Z File "distributions/test_distributions.py", line 3693, in 2022-12-01T10:53:15.3553026Z self.assertEqual(gamma.sample((3, 2)).size(), torch.Size((3, 2, 2))) 2022-12-01T10:53:15.3553189Z 2022-12-01T10:53:15.3553308Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3553528Z ========== 2022-12-01T10:53:15.3553687Z ok (0.052s) 2022-12-01T10:53:15.3554254Z test_geometric_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_geometric_shape_scalar_params distributions/test_distributions.py line 3494 2022-12-01T10:53:15.3554624Z due to: 2022-12-01T10:53:15.3554808Z Traceback (most recent call last): 2022-12-01T10:53:15.3555088Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3555508Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3555962Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3556165Z 2022-12-01T10:53:15.3556238Z from user code: 2022-12-01T10:53:15.3556489Z File "distributions/test_distributions.py", line 3495, in test_geometric_shape_scalar_params 2022-12-01T10:53:15.3556766Z geometric = Geometric(0.3) 2022-12-01T10:53:15.3556889Z 2022-12-01T10:53:15.3557020Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3557235Z ========== 2022-12-01T10:53:15.3557378Z ok (0.008s) 2022-12-01T10:53:15.3557928Z test_geometric_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3508 2022-12-01T10:53:15.3558301Z due to: 2022-12-01T10:53:15.3558470Z Traceback (most recent call last): 2022-12-01T10:53:15.3558761Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3559038Z member = getattr(self.value, name) 2022-12-01T10:53:15.3559333Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3559493Z 2022-12-01T10:53:15.3559562Z from user code: 2022-12-01T10:53:15.3559843Z File "distributions/test_distributions.py", line 3509, in 2022-12-01T10:53:15.3560184Z self.assertEqual(geometric.sample((3, 2)).size(), torch.Size((3, 2, 3, 2))) 2022-12-01T10:53:15.3560352Z 2022-12-01T10:53:15.3560470Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3560688Z ========== 2022-12-01T10:53:15.3560845Z ok (0.052s) 2022-12-01T10:53:15.3561343Z test_gumbel_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_gumbel_shape_scalar_params distributions/test_distributions.py line 3747 2022-12-01T10:53:15.3561703Z due to: 2022-12-01T10:53:15.3561883Z Traceback (most recent call last): 2022-12-01T10:53:15.3562162Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3562577Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3563023Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3563223Z 2022-12-01T10:53:15.3563293Z from user code: 2022-12-01T10:53:15.3563538Z File "distributions/test_distributions.py", line 3748, in test_gumbel_shape_scalar_params 2022-12-01T10:53:15.3563798Z gumbel = Gumbel(1, 1) 2022-12-01T10:53:15.3563911Z 2022-12-01T10:53:15.3564040Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3564255Z ========== 2022-12-01T10:53:15.3564397Z ok (0.009s) 2022-12-01T10:53:15.3564916Z test_halfcauchy_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_halfcauchy_shape_scalar_params distributions/test_distributions.py line 3629 2022-12-01T10:53:15.3565312Z due to: 2022-12-01T10:53:15.3565481Z Traceback (most recent call last): 2022-12-01T10:53:15.3565755Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3566180Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3566637Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3566825Z 2022-12-01T10:53:15.3566895Z from user code: 2022-12-01T10:53:15.3567463Z File "distributions/test_distributions.py", line 3630, in test_halfcauchy_shape_scalar_params 2022-12-01T10:53:15.3567741Z halfcauchy = HalfCauchy(1) 2022-12-01T10:53:15.3567863Z 2022-12-01T10:53:15.3567981Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3568201Z ========== 2022-12-01T10:53:15.3568363Z ok (0.009s) 2022-12-01T10:53:15.3568883Z test_halfcauchy_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_halfcauchy_shape_tensor_params distributions/test_distributions.py line 3642 2022-12-01T10:53:15.3569248Z due to: 2022-12-01T10:53:15.3569431Z Traceback (most recent call last): 2022-12-01T10:53:15.3569708Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3570118Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3570573Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3570775Z 2022-12-01T10:53:15.3570846Z from user code: 2022-12-01T10:53:15.3571098Z File "distributions/test_distributions.py", line 3643, in test_halfcauchy_shape_tensor_params 2022-12-01T10:53:15.3571397Z halfcauchy = HalfCauchy(torch.tensor([1., 1.])) 2022-12-01T10:53:15.3571539Z 2022-12-01T10:53:15.3571670Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3571886Z ========== 2022-12-01T10:53:15.3572030Z ok (0.010s) 2022-12-01T10:53:15.3572559Z test_kumaraswamy_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_kumaraswamy_shape_scalar_params distributions/test_distributions.py line 3756 2022-12-01T10:53:15.3572927Z due to: 2022-12-01T10:53:15.3573099Z Traceback (most recent call last): 2022-12-01T10:53:15.3573376Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3573805Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3574254Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3574443Z 2022-12-01T10:53:15.3574516Z from user code: 2022-12-01T10:53:15.3574784Z File "distributions/test_distributions.py", line 3757, in test_kumaraswamy_shape_scalar_params 2022-12-01T10:53:15.3575062Z kumaraswamy = Kumaraswamy(1, 1) 2022-12-01T10:53:15.3575190Z 2022-12-01T10:53:15.3575307Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3575529Z ========== 2022-12-01T10:53:15.3575687Z ok (0.009s) 2022-12-01T10:53:15.3576193Z test_laplace_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_laplace_shape_scalar_params distributions/test_distributions.py line 3872 2022-12-01T10:53:15.3576556Z due to: 2022-12-01T10:53:15.3576740Z Traceback (most recent call last): 2022-12-01T10:53:15.3577014Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3577425Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3577951Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3578154Z 2022-12-01T10:53:15.3578228Z from user code: 2022-12-01T10:53:15.3578477Z File "distributions/test_distributions.py", line 3873, in test_laplace_shape_scalar_params 2022-12-01T10:53:15.3578743Z laplace = Laplace(0, 1) 2022-12-01T10:53:15.3578862Z 2022-12-01T10:53:15.3578994Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3579223Z ========== 2022-12-01T10:53:15.3579428Z ok (0.008s) 2022-12-01T10:53:15.3580007Z test_laplace_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3886 2022-12-01T10:53:15.3580379Z due to: 2022-12-01T10:53:15.3580548Z Traceback (most recent call last): 2022-12-01T10:53:15.3580834Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3581110Z member = getattr(self.value, name) 2022-12-01T10:53:15.3581406Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3581547Z 2022-12-01T10:53:15.3581617Z from user code: 2022-12-01T10:53:15.3581895Z File "distributions/test_distributions.py", line 3887, in 2022-12-01T10:53:15.3582225Z self.assertEqual(laplace.sample((3, 2)).size(), torch.Size((3, 2, 2))) 2022-12-01T10:53:15.3582388Z 2022-12-01T10:53:15.3582506Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3582722Z ========== 2022-12-01T10:53:15.3582879Z ok (0.052s) 2022-12-01T10:53:15.3583400Z test_mixture_same_family_shape (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3670 2022-12-01T10:53:15.3583762Z due to: 2022-12-01T10:53:15.3583945Z Traceback (most recent call last): 2022-12-01T10:53:15.3584235Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 303, in var_getattr 2022-12-01T10:53:15.3584503Z if isinstance(subobj, property): 2022-12-01T10:53:15.3584830Z UnboundLocalError: local variable 'subobj' referenced before assignment 2022-12-01T10:53:15.3585003Z 2022-12-01T10:53:15.3585073Z from user code: 2022-12-01T10:53:15.3585334Z File "distributions/test_distributions.py", line 3670, in 2022-12-01T10:53:15.3585628Z Normal(torch.randn(5), torch.rand(5))) 2022-12-01T10:53:15.3585761Z 2022-12-01T10:53:15.3585891Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3586108Z ========== 2022-12-01T10:53:15.3586251Z ok (0.043s) 2022-12-01T10:53:15.3586757Z test_multinomial_shape (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3557 2022-12-01T10:53:15.3587111Z due to: 2022-12-01T10:53:15.3587282Z Traceback (most recent call last): 2022-12-01T10:53:15.3587567Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3587847Z member = getattr(self.value, name) 2022-12-01T10:53:15.3588140Z AttributeError: 'tuple' object has no attribute '_categorical' 2022-12-01T10:53:15.3588299Z 2022-12-01T10:53:15.3588370Z from user code: 2022-12-01T10:53:15.3588638Z File "distributions/test_distributions.py", line 3558, in 2022-12-01T10:53:15.3588957Z self.assertEqual(dist.sample((3, 2)).size(), torch.Size((3, 2, 3, 2))) 2022-12-01T10:53:15.3589105Z 2022-12-01T10:53:15.3589239Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3589456Z ========== 2022-12-01T10:53:15.3589611Z ok (0.054s) 2022-12-01T10:53:15.3590109Z test_normal_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_normal_shape_scalar_params distributions/test_distributions.py line 3812 2022-12-01T10:53:15.3590503Z due to: 2022-12-01T10:53:15.3590686Z Traceback (most recent call last): 2022-12-01T10:53:15.3590952Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3591375Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3591822Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3592024Z 2022-12-01T10:53:15.3592093Z from user code: 2022-12-01T10:53:15.3592369Z File "distributions/test_distributions.py", line 3813, in test_normal_shape_scalar_params 2022-12-01T10:53:15.3592627Z normal = Normal(0, 1) 2022-12-01T10:53:15.3592740Z 2022-12-01T10:53:15.3592873Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3593088Z ========== 2022-12-01T10:53:15.3593235Z ok (0.008s) 2022-12-01T10:53:15.3593760Z test_normal_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3826 2022-12-01T10:53:15.3594132Z due to: 2022-12-01T10:53:15.3594300Z Traceback (most recent call last): 2022-12-01T10:53:15.3594587Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3594863Z member = getattr(self.value, name) 2022-12-01T10:53:15.3595157Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3595317Z 2022-12-01T10:53:15.3595387Z from user code: 2022-12-01T10:53:15.3595665Z File "distributions/test_distributions.py", line 3827, in 2022-12-01T10:53:15.3595991Z self.assertEqual(normal.sample((3, 2)).size(), torch.Size((3, 2, 2))) 2022-12-01T10:53:15.3596139Z 2022-12-01T10:53:15.3596273Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3596490Z ========== 2022-12-01T10:53:15.3596647Z ok (0.053s) 2022-12-01T10:53:15.3597162Z test_one_hot_categorical_shape (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3588 2022-12-01T10:53:15.3597529Z due to: 2022-12-01T10:53:15.3597712Z Traceback (most recent call last): 2022-12-01T10:53:15.3597986Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3598261Z member = getattr(self.value, name) 2022-12-01T10:53:15.3598570Z AttributeError: 'tuple' object has no attribute '_categorical' 2022-12-01T10:53:15.3598730Z 2022-12-01T10:53:15.3598799Z from user code: 2022-12-01T10:53:15.3599064Z File "distributions/test_distributions.py", line 3589, in 2022-12-01T10:53:15.3599398Z self.assertEqual(dist.sample((3, 2)).size(), torch.Size((3, 2, 3))) 2022-12-01T10:53:15.3599561Z 2022-12-01T10:53:15.3599691Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3599895Z ========== 2022-12-01T10:53:15.3600052Z ok (0.083s) 2022-12-01T10:53:15.3600563Z test_pareto_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pareto_shape_scalar_params distributions/test_distributions.py line 3738 2022-12-01T10:53:15.3600917Z due to: 2022-12-01T10:53:15.3601086Z Traceback (most recent call last): 2022-12-01T10:53:15.3601362Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3601790Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3602229Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3602429Z 2022-12-01T10:53:15.3602536Z from user code: 2022-12-01T10:53:15.3602797Z File "distributions/test_distributions.py", line 3739, in test_pareto_shape_scalar_params 2022-12-01T10:53:15.3603057Z pareto = Pareto(1, 1) 2022-12-01T10:53:15.3603160Z 2022-12-01T10:53:15.3603290Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3603507Z ========== 2022-12-01T10:53:15.3603662Z ok (0.009s) 2022-12-01T10:53:15.3604163Z test_studentT_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_studentT_shape_scalar_params distributions/test_distributions.py line 3718 2022-12-01T10:53:15.3604526Z due to: 2022-12-01T10:53:15.3604740Z Traceback (most recent call last): 2022-12-01T10:53:15.3605006Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3605431Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3605879Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3606081Z 2022-12-01T10:53:15.3606150Z from user code: 2022-12-01T10:53:15.3606439Z File "distributions/test_distributions.py", line 3719, in test_studentT_shape_scalar_params 2022-12-01T10:53:15.3606688Z st = StudentT(1) 2022-12-01T10:53:15.3606796Z 2022-12-01T10:53:15.3606925Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3607350Z ========== 2022-12-01T10:53:15.3607513Z ok (0.009s) 2022-12-01T10:53:15.3608040Z test_studentT_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_studentT_shape_tensor_params distributions/test_distributions.py line 3728 2022-12-01T10:53:15.3608405Z due to: 2022-12-01T10:53:15.3608574Z Traceback (most recent call last): 2022-12-01T10:53:15.3608850Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3609278Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3609710Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3609914Z 2022-12-01T10:53:15.3609983Z from user code: 2022-12-01T10:53:15.3610247Z File "distributions/test_distributions.py", line 3729, in test_studentT_shape_tensor_params 2022-12-01T10:53:15.3610525Z st = StudentT(torch.tensor([1., 1.])) 2022-12-01T10:53:15.3610643Z 2022-12-01T10:53:15.3610772Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3610988Z ========== 2022-12-01T10:53:15.3611143Z ok (0.010s) 2022-12-01T10:53:15.3611643Z test_uniform_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_uniform_shape_scalar_params distributions/test_distributions.py line 3832 2022-12-01T10:53:15.3612003Z due to: 2022-12-01T10:53:15.3612185Z Traceback (most recent call last): 2022-12-01T10:53:15.3612449Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3612872Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3613321Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3613522Z 2022-12-01T10:53:15.3613592Z from user code: 2022-12-01T10:53:15.3613839Z File "distributions/test_distributions.py", line 3833, in test_uniform_shape_scalar_params 2022-12-01T10:53:15.3614099Z uniform = Uniform(0, 1) 2022-12-01T10:53:15.3614216Z 2022-12-01T10:53:15.3614349Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3614554Z ========== 2022-12-01T10:53:15.3614710Z ok (0.008s) 2022-12-01T10:53:15.3614962Z test_uniform_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.111s) 2022-12-01T10:53:15.3615556Z test_vonmises_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_vonmises_shape_scalar_params distributions/test_distributions.py line 3774 2022-12-01T10:53:15.3615972Z due to: 2022-12-01T10:53:15.3616157Z Traceback (most recent call last): 2022-12-01T10:53:15.3616435Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3616849Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3617300Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3617506Z 2022-12-01T10:53:15.3617617Z from user code: 2022-12-01T10:53:15.3617884Z File "distributions/test_distributions.py", line 3775, in test_vonmises_shape_scalar_params 2022-12-01T10:53:15.3618135Z von_mises = VonMises(0., 1.) 2022-12-01T10:53:15.3618255Z 2022-12-01T10:53:15.3618387Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3618609Z ========== 2022-12-01T10:53:15.3618754Z ok (0.009s) 2022-12-01T10:53:15.3619004Z test_vonmises_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.106s) 2022-12-01T10:53:15.3619601Z test_weibull_scale_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_weibull_scale_scalar_params distributions/test_distributions.py line 3786 2022-12-01T10:53:15.3619956Z due to: 2022-12-01T10:53:15.3620128Z Traceback (most recent call last): 2022-12-01T10:53:15.3620408Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3620835Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3621272Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3621475Z 2022-12-01T10:53:15.3621545Z from user code: 2022-12-01T10:53:15.3621808Z File "distributions/test_distributions.py", line 3787, in test_weibull_scale_scalar_params 2022-12-01T10:53:15.3622053Z weibull = Weibull(1, 1) 2022-12-01T10:53:15.3622172Z 2022-12-01T10:53:15.3622306Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3622522Z ========== 2022-12-01T10:53:15.3622679Z ok (0.009s) 2022-12-01T10:53:15.3623201Z test_wishart_shape_scalar_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3799 2022-12-01T10:53:15.3623574Z due to: 2022-12-01T10:53:15.3623753Z Traceback (most recent call last): 2022-12-01T10:53:15.3624032Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3624309Z member = getattr(self.value, name) 2022-12-01T10:53:15.3624604Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3624757Z 2022-12-01T10:53:15.3624825Z from user code: 2022-12-01T10:53:15.3625089Z File "distributions/test_distributions.py", line 3800, in 2022-12-01T10:53:15.3625421Z self.assertEqual(wishart.sample((3, 2)).size(), torch.Size((3, 2, 1, 1))) 2022-12-01T10:53:15.3625587Z 2022-12-01T10:53:15.3625720Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3625924Z ========== 2022-12-01T10:53:15.3626293Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3626610Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3627007Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3627321Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3627521Z ok (0.127s) 2022-12-01T10:53:15.3628057Z test_wishart_shape_tensor_params (__main__.TestDistributionShapes) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 3807 2022-12-01T10:53:15.3628446Z due to: 2022-12-01T10:53:15.3628629Z Traceback (most recent call last): 2022-12-01T10:53:15.3628916Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3629179Z member = getattr(self.value, name) 2022-12-01T10:53:15.3629474Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3629625Z 2022-12-01T10:53:15.3629693Z from user code: 2022-12-01T10:53:15.3630010Z File "distributions/test_distributions.py", line 3808, in 2022-12-01T10:53:15.3630339Z self.assertEqual(wishart.sample((3, 2)).size(), torch.Size((3, 2, 2, 1, 1))) 2022-12-01T10:53:15.3630505Z 2022-12-01T10:53:15.3630634Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3630850Z ========== 2022-12-01T10:53:15.3631203Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3631518Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3631922Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3632235Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3632421Z ok (0.051s) 2022-12-01T10:53:15.3632662Z test_argmax_relaxed_categorical (__main__.TestDistributions) ... ok (0.716s) 2022-12-01T10:53:15.3633202Z test_bernoulli (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1039 2022-12-01T10:53:15.3633516Z due to: 2022-12-01T10:53:15.3633700Z Traceback (most recent call last): 2022-12-01T10:53:15.3633988Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3634255Z member = getattr(self.value, name) 2022-12-01T10:53:15.3634563Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3634726Z 2022-12-01T10:53:15.3634795Z from user code: 2022-12-01T10:53:15.3635054Z File "distributions/test_distributions.py", line 1039, in 2022-12-01T10:53:15.3635341Z self.assertEqual(Bernoulli(p).sample((8,)).size(), (8, 3)) 2022-12-01T10:53:15.3635491Z 2022-12-01T10:53:15.3635621Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3635836Z ========== 2022-12-01T10:53:15.3636185Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _check_forward_ad distributions/test_distributions.py line 822 2022-12-01T10:53:15.3636460Z due to: 2022-12-01T10:53:15.3636642Z Traceback (most recent call last): 2022-12-01T10:53:15.3636906Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3637331Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3637806Z AssertionError: torch.* op returned non-Tensor dual_level call_function 2022-12-01T10:53:15.3638023Z 2022-12-01T10:53:15.3638093Z from user code: 2022-12-01T10:53:15.3638320Z File "distributions/test_distributions.py", line 823, in _check_forward_ad 2022-12-01T10:53:15.3638562Z with fwAD.dual_level(): 2022-12-01T10:53:15.3638681Z 2022-12-01T10:53:15.3638812Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3639016Z ========== 2022-12-01T10:53:15.3639174Z ok (1.181s) 2022-12-01T10:53:15.3639654Z test_bernoulli_3d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1078 2022-12-01T10:53:15.3639987Z due to: 2022-12-01T10:53:15.3640154Z Traceback (most recent call last): 2022-12-01T10:53:15.3640440Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3640757Z member = getattr(self.value, name) 2022-12-01T10:53:15.3641052Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3641213Z 2022-12-01T10:53:15.3641283Z from user code: 2022-12-01T10:53:15.3641545Z File "distributions/test_distributions.py", line 1078, in 2022-12-01T10:53:15.3641837Z self.assertEqual(Bernoulli(p).sample((2,)).size(), (2, 2, 3, 5)) 2022-12-01T10:53:15.3641992Z 2022-12-01T10:53:15.3642124Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3642344Z ========== 2022-12-01T10:53:15.3642503Z ok (0.077s) 2022-12-01T10:53:15.3642776Z test_bernoulli_enumerate_support (__main__.TestDistributions) ... ok (0.034s) 2022-12-01T10:53:15.3657938Z test_beta_log_prob (__main__.TestDistributions) ... ok (0.080s) 2022-12-01T10:53:15.3658314Z test_beta_sample (__main__.TestDistributions) ... ok (0.407s) 2022-12-01T10:53:15.3658898Z test_beta_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2777 2022-12-01T10:53:15.3659221Z due to: 2022-12-01T10:53:15.3659406Z Traceback (most recent call last): 2022-12-01T10:53:15.3659702Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3659970Z member = getattr(self.value, name) 2022-12-01T10:53:15.3660278Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3660471Z 2022-12-01T10:53:15.3660543Z from user code: 2022-12-01T10:53:15.3660805Z File "distributions/test_distributions.py", line 2777, in 2022-12-01T10:53:15.3661100Z self.assertEqual(Beta(con1, con0).sample((5,)).size(), (5, 2, 3)) 2022-12-01T10:53:15.3661252Z 2022-12-01T10:53:15.3661385Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3661608Z ========== 2022-12-01T10:53:15.3661753Z ok (0.072s) 2022-12-01T10:53:15.3661977Z test_beta_underflow (__main__.TestDistributions) ... ok (0.055s) 2022-12-01T10:53:15.3662284Z test_beta_underflow_gpu (__main__.TestDistributions) ... skip: CUDA not found (0.004s) 2022-12-01T10:53:15.3662794Z test_binomial (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binomial distributions/test_distributions.py line 1123 2022-12-01T10:53:15.3663107Z due to: 2022-12-01T10:53:15.3663287Z Traceback (most recent call last): 2022-12-01T10:53:15.3663563Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3663981Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3664433Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3664635Z 2022-12-01T10:53:15.3664705Z from user code: 2022-12-01T10:53:15.3664933Z File "distributions/test_distributions.py", line 1126, in test_binomial 2022-12-01T10:53:15.3665232Z self._gradcheck_log_prob(lambda p: Binomial(total_count, p), [p]) 2022-12-01T10:53:15.3665397Z 2022-12-01T10:53:15.3665528Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3665745Z ========== 2022-12-01T10:53:15.3666104Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _gradcheck_log_prob distributions/test_distributions.py line 807 2022-12-01T10:53:15.3666380Z due to: 2022-12-01T10:53:15.3666563Z Traceback (most recent call last): 2022-12-01T10:53:15.3666825Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3667254Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3667707Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3667907Z 2022-12-01T10:53:15.3668095Z from user code: 2022-12-01T10:53:15.3668329Z File "distributions/test_distributions.py", line 809, in _gradcheck_log_prob 2022-12-01T10:53:15.3668596Z distribution = dist_ctor(*ctor_params) 2022-12-01T10:53:15.3668730Z 2022-12-01T10:53:15.3668862Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3669066Z ========== 2022-12-01T10:53:15.3669420Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1126 2022-12-01T10:53:15.3669685Z due to: 2022-12-01T10:53:15.3669854Z Traceback (most recent call last): 2022-12-01T10:53:15.3670129Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3670605Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3671057Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3671248Z 2022-12-01T10:53:15.3671317Z from user code: 2022-12-01T10:53:15.3671549Z File "distributions/test_distributions.py", line 1126, in 2022-12-01T10:53:15.3671840Z self._gradcheck_log_prob(lambda p: Binomial(total_count, p), [p]) 2022-12-01T10:53:15.3671998Z 2022-12-01T10:53:15.3672116Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3672334Z ========== 2022-12-01T10:53:15.3672689Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT apply_fn distributions/test_distributions.py line 817 2022-12-01T10:53:15.3672956Z due to: 2022-12-01T10:53:15.3673124Z Traceback (most recent call last): 2022-12-01T10:53:15.3673403Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3673827Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3674259Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3674463Z 2022-12-01T10:53:15.3674532Z from user code: 2022-12-01T10:53:15.3674768Z File "distributions/test_distributions.py", line 818, in apply_fn 2022-12-01T10:53:15.3675009Z return dist_ctor(*params).log_prob(s) 2022-12-01T10:53:15.3675138Z 2022-12-01T10:53:15.3675268Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3675483Z ========== 2022-12-01T10:53:15.3675833Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1127 2022-12-01T10:53:15.3676085Z due to: 2022-12-01T10:53:15.3676264Z Traceback (most recent call last): 2022-12-01T10:53:15.3676542Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3676955Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3677397Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3677598Z 2022-12-01T10:53:15.3677667Z from user code: 2022-12-01T10:53:15.3677898Z File "distributions/test_distributions.py", line 1127, in 2022-12-01T10:53:15.3678189Z self._gradcheck_log_prob(lambda p: Binomial(total_count, None, p.log()), [p]) 2022-12-01T10:53:15.3678362Z 2022-12-01T10:53:15.3678493Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3678709Z ========== 2022-12-01T10:53:15.3678852Z ok (0.085s) 2022-12-01T10:53:15.3679088Z test_binomial_enumerate_support (__main__.TestDistributions) ... ok (0.053s) 2022-12-01T10:53:15.3679639Z test_binomial_extreme_vals (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binomial_extreme_vals distributions/test_distributions.py line 1187 2022-12-01T10:53:15.3679973Z due to: 2022-12-01T10:53:15.3680141Z Traceback (most recent call last): 2022-12-01T10:53:15.3680415Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3680875Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3681307Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3681510Z 2022-12-01T10:53:15.3681580Z from user code: 2022-12-01T10:53:15.3681834Z File "distributions/test_distributions.py", line 1189, in test_binomial_extreme_vals 2022-12-01T10:53:15.3682083Z bin0 = Binomial(total_count, 0) 2022-12-01T10:53:15.3682207Z 2022-12-01T10:53:15.3682338Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3682554Z ========== 2022-12-01T10:53:15.3682709Z ok (0.010s) 2022-12-01T10:53:15.3683229Z test_binomial_log_prob_and_entropy (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binomial_log_prob_and_entropy distributions/test_distributions.py line 1139 2022-12-01T10:53:15.3683581Z due to: 2022-12-01T10:53:15.3683762Z Traceback (most recent call last): 2022-12-01T10:53:15.3684027Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3684448Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3684895Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3685093Z 2022-12-01T10:53:15.3685162Z from user code: 2022-12-01T10:53:15.3685409Z File "distributions/test_distributions.py", line 1148, in test_binomial_log_prob_and_entropy 2022-12-01T10:53:15.3685718Z self._check_log_prob(Binomial(total_count, probs), ref_log_prob) 2022-12-01T10:53:15.3685878Z 2022-12-01T10:53:15.3686009Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3686212Z ========== 2022-12-01T10:53:15.3686365Z ok (0.300s) 2022-12-01T10:53:15.3686612Z test_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.035s) 2022-12-01T10:53:15.3686903Z test_binomial_sample (__main__.TestDistributions) ... ok (0.106s) 2022-12-01T10:53:15.3687724Z test_binomial_stable (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binomial_stable distributions/test_distributions.py line 1158 2022-12-01T10:53:15.3688049Z due to: 2022-12-01T10:53:15.3688231Z Traceback (most recent call last): 2022-12-01T10:53:15.3688493Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3688919Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3689373Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3689575Z 2022-12-01T10:53:15.3689633Z from user code: 2022-12-01T10:53:15.3689880Z File "distributions/test_distributions.py", line 1162, in test_binomial_stable 2022-12-01T10:53:15.3690172Z log_prob = Binomial(total_count, logits=logits).log_prob(x) 2022-12-01T10:53:15.3690329Z 2022-12-01T10:53:15.3690460Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3690663Z ========== 2022-12-01T10:53:15.3690817Z ok (0.012s) 2022-12-01T10:53:15.3691050Z test_binomial_vectorized_count (__main__.TestDistributions) ... ok (0.172s) 2022-12-01T10:53:15.3691327Z test_categorical_1d (__main__.TestDistributions) ... ok (0.029s) 2022-12-01T10:53:15.3691604Z test_categorical_2d (__main__.TestDistributions) ... ok (0.082s) 2022-12-01T10:53:15.3691902Z test_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.025s) 2022-12-01T10:53:15.3692175Z test_cauchy (__main__.TestDistributions) ... ok (0.052s) 2022-12-01T10:53:15.3692682Z test_cdf_icdf_inverse (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3693048Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3693323Z ok (0.392s) 2022-12-01T10:53:15.3693759Z test_cdf_log_prob (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3694116Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3694315Z ok (0.076s) 2022-12-01T10:53:15.3694520Z test_chi2_sample (__main__.TestDistributions) ... ok (0.101s) 2022-12-01T10:53:15.3695020Z test_chi2_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_chi2_shape distributions/test_distributions.py line 2662 2022-12-01T10:53:15.3695336Z due to: 2022-12-01T10:53:15.3695518Z Traceback (most recent call last): 2022-12-01T10:53:15.3695826Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3696254Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3696700Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3696902Z 2022-12-01T10:53:15.3696960Z from user code: 2022-12-01T10:53:15.3697202Z File "distributions/test_distributions.py", line 2666, in test_chi2_shape 2022-12-01T10:53:15.3697478Z self.assertEqual(Chi2(df).sample().size(), (2, 3)) 2022-12-01T10:53:15.3697619Z 2022-12-01T10:53:15.3697751Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3697953Z ========== 2022-12-01T10:53:15.3698110Z ok (0.085s) 2022-12-01T10:53:15.3698615Z test_continuous_bernoulli (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2843 2022-12-01T10:53:15.3698956Z due to: 2022-12-01T10:53:15.3699136Z Traceback (most recent call last): 2022-12-01T10:53:15.3699424Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3699692Z member = getattr(self.value, name) 2022-12-01T10:53:15.3700001Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3700164Z 2022-12-01T10:53:15.3700232Z from user code: 2022-12-01T10:53:15.3700504Z File "distributions/test_distributions.py", line 2843, in 2022-12-01T10:53:15.3700819Z self.assertEqual(ContinuousBernoulli(p).sample((8,)).size(), (8, 3)) 2022-12-01T10:53:15.3700986Z 2022-12-01T10:53:15.3701117Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3701333Z ========== 2022-12-01T10:53:15.3701477Z ok (0.266s) 2022-12-01T10:53:15.3701991Z test_continuous_bernoulli_3d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2875 2022-12-01T10:53:15.3702340Z due to: 2022-12-01T10:53:15.3702521Z Traceback (most recent call last): 2022-12-01T10:53:15.3702796Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3703074Z member = getattr(self.value, name) 2022-12-01T10:53:15.3703383Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3703543Z 2022-12-01T10:53:15.3703599Z from user code: 2022-12-01T10:53:15.3703873Z File "distributions/test_distributions.py", line 2875, in 2022-12-01T10:53:15.3704211Z self.assertEqual(ContinuousBernoulli(p).sample((2,)).size(), (2, 2, 3, 5)) 2022-12-01T10:53:15.3704381Z 2022-12-01T10:53:15.3704511Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3704715Z ========== 2022-12-01T10:53:15.3704875Z ok (0.081s) 2022-12-01T10:53:15.3705102Z test_dirichlet_log_prob (__main__.TestDistributions) ... ok (0.034s) 2022-12-01T10:53:15.3705373Z test_dirichlet_mode (__main__.TestDistributions) ... ok (0.014s) 2022-12-01T10:53:15.3705656Z test_dirichlet_sample (__main__.TestDistributions) ... ok (0.079s) 2022-12-01T10:53:15.3706240Z test_dirichlet_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2735 2022-12-01T10:53:15.3706567Z due to: 2022-12-01T10:53:15.3706748Z Traceback (most recent call last): 2022-12-01T10:53:15.3707035Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3707312Z member = getattr(self.value, name) 2022-12-01T10:53:15.3707595Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3707747Z 2022-12-01T10:53:15.3707818Z from user code: 2022-12-01T10:53:15.3708115Z File "distributions/test_distributions.py", line 2735, in 2022-12-01T10:53:15.3708416Z self.assertEqual(Dirichlet(alpha).sample((5,)).size(), (5, 2, 3)) 2022-12-01T10:53:15.3708575Z 2022-12-01T10:53:15.3708707Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3708927Z ========== 2022-12-01T10:53:15.3709070Z ok (0.045s) 2022-12-01T10:53:15.3709532Z test_distribution_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3709901Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3710102Z ok (0.762s) 2022-12-01T10:53:15.3710565Z test_distribution_subclass_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3710941Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3711142Z ok (0.236s) 2022-12-01T10:53:15.3711592Z test_enumerate_support_type (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3711962Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3712163Z ok (0.026s) 2022-12-01T10:53:15.3712640Z test_exponential (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2390 2022-12-01T10:53:15.3712962Z due to: 2022-12-01T10:53:15.3713143Z Traceback (most recent call last): 2022-12-01T10:53:15.3713431Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3713698Z member = getattr(self.value, name) 2022-12-01T10:53:15.3713993Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3714145Z 2022-12-01T10:53:15.3714215Z from user code: 2022-12-01T10:53:15.3714465Z File "distributions/test_distributions.py", line 2390, in 2022-12-01T10:53:15.3714777Z self.assertEqual(Exponential(rate).sample((7,)).size(), (7, 5, 5)) 2022-12-01T10:53:15.3714934Z 2022-12-01T10:53:15.3715065Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3715284Z ========== 2022-12-01T10:53:15.3715427Z ok (0.183s) 2022-12-01T10:53:15.3715654Z test_exponential_sample (__main__.TestDistributions) ... ok (0.100s) 2022-12-01T10:53:15.3716178Z test_fishersnedecor (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fishersnedecor distributions/test_distributions.py line 2631 2022-12-01T10:53:15.3716492Z due to: 2022-12-01T10:53:15.3716673Z Traceback (most recent call last): 2022-12-01T10:53:15.3716949Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3717372Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3717809Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3718010Z 2022-12-01T10:53:15.3718080Z from user code: 2022-12-01T10:53:15.3718362Z File "distributions/test_distributions.py", line 2637, in test_fishersnedecor 2022-12-01T10:53:15.3718640Z self.assertTrue(is_all_nan(FisherSnedecor(1, 2).mean)) 2022-12-01T10:53:15.3718788Z 2022-12-01T10:53:15.3718918Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3719134Z ========== 2022-12-01T10:53:15.3719278Z ok (0.108s) 2022-12-01T10:53:15.3719544Z test_fishersnedecor_sample (__main__.TestDistributions) ... ok (0.881s) 2022-12-01T10:53:15.3719856Z test_gamma_gpu_sample (__main__.TestDistributions) ... skip: CUDA not found (0.001s) 2022-12-01T10:53:15.3720176Z test_gamma_gpu_shape (__main__.TestDistributions) ... skip: CUDA not found (0.002s) 2022-12-01T10:53:15.3720516Z test_gamma_log_prob_at_boundary (__main__.TestDistributions) ... ok (0.008s) 2022-12-01T10:53:15.3720809Z test_gamma_sample (__main__.TestDistributions) ... ok (0.297s) 2022-12-01T10:53:15.3721339Z test_gamma_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2480 2022-12-01T10:53:15.3721670Z due to: 2022-12-01T10:53:15.3721839Z Traceback (most recent call last): 2022-12-01T10:53:15.3722127Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3722405Z member = getattr(self.value, name) 2022-12-01T10:53:15.3722687Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3722840Z 2022-12-01T10:53:15.3722910Z from user code: 2022-12-01T10:53:15.3723171Z File "distributions/test_distributions.py", line 2480, in 2022-12-01T10:53:15.3723468Z self.assertEqual(Gamma(alpha, beta).sample((5,)).size(), (5, 2, 3)) 2022-12-01T10:53:15.3723625Z 2022-12-01T10:53:15.3723756Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3723971Z ========== 2022-12-01T10:53:15.3724114Z ok (0.158s) 2022-12-01T10:53:15.3724579Z test_geometric (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1084 2022-12-01T10:53:15.3724912Z due to: 2022-12-01T10:53:15.3725091Z Traceback (most recent call last): 2022-12-01T10:53:15.3725365Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3725640Z member = getattr(self.value, name) 2022-12-01T10:53:15.3725951Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3726112Z 2022-12-01T10:53:15.3726169Z from user code: 2022-12-01T10:53:15.3726429Z File "distributions/test_distributions.py", line 1084, in 2022-12-01T10:53:15.3726728Z self.assertEqual(Geometric(p).sample((8,)).size(), (8, 3)) 2022-12-01T10:53:15.3726878Z 2022-12-01T10:53:15.3727230Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3727491Z ========== 2022-12-01T10:53:15.3727649Z ok (0.033s) 2022-12-01T10:53:15.3728197Z test_geometric_log_prob_and_entropy (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1112 2022-12-01T10:53:15.3728550Z due to: 2022-12-01T10:53:15.3728734Z Traceback (most recent call last): 2022-12-01T10:53:15.3729014Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3729431Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3729886Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3730093Z 2022-12-01T10:53:15.3730163Z from user code: 2022-12-01T10:53:15.3730443Z File "distributions/test_distributions.py", line 1113, in 2022-12-01T10:53:15.3730896Z self.assertEqual(float(Geometric(s).entropy()), scipy.stats.geom(s, loc=-1).entropy().item(), atol=1e-3, rtol=0) 2022-12-01T10:53:15.3731179Z 2022-12-01T10:53:15.3731312Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3731531Z ========== 2022-12-01T10:53:15.3731688Z ok (0.182s) 2022-12-01T10:53:15.3731903Z test_geometric_sample (__main__.TestDistributions) ... ok (0.009s) 2022-12-01T10:53:15.3732425Z test_gumbel (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2573 2022-12-01T10:53:15.3732748Z due to: 2022-12-01T10:53:15.3732919Z Traceback (most recent call last): 2022-12-01T10:53:15.3733263Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3733544Z member = getattr(self.value, name) 2022-12-01T10:53:15.3733830Z AttributeError: 'tuple' object has no attribute 'base_dist' 2022-12-01T10:53:15.3733984Z 2022-12-01T10:53:15.3734058Z from user code: 2022-12-01T10:53:15.3734315Z File "distributions/test_distributions.py", line 2573, in 2022-12-01T10:53:15.3734627Z self.assertEqual(Gumbel(loc, scale).sample((5,)).size(), (5, 2, 3)) 2022-12-01T10:53:15.3734771Z 2022-12-01T10:53:15.3734902Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3735120Z ========== 2022-12-01T10:53:15.3735278Z ok (0.181s) 2022-12-01T10:53:15.3735487Z test_gumbel_sample (__main__.TestDistributions) ... ok (0.570s) 2022-12-01T10:53:15.3735991Z test_halfcauchy (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_halfcauchy distributions/test_distributions.py line 1630 2022-12-01T10:53:15.3736309Z due to: 2022-12-01T10:53:15.3736478Z Traceback (most recent call last): 2022-12-01T10:53:15.3736755Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3737186Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3737639Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3737839Z 2022-12-01T10:53:15.3737896Z from user code: 2022-12-01T10:53:15.3738135Z File "distributions/test_distributions.py", line 1633, in test_halfcauchy 2022-12-01T10:53:15.3738432Z self.assertTrue(torch.isinf(HalfCauchy(scale_1d).mean).all()) 2022-12-01T10:53:15.3738590Z 2022-12-01T10:53:15.3738709Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3738924Z ========== 2022-12-01T10:53:15.3739081Z ok (0.019s) 2022-12-01T10:53:15.3739527Z test_halfnormal (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_halfnormal distributions/test_distributions.py line 1653 2022-12-01T10:53:15.3739832Z due to: 2022-12-01T10:53:15.3740013Z Traceback (most recent call last): 2022-12-01T10:53:15.3740287Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3740703Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3741155Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3741356Z 2022-12-01T10:53:15.3741426Z from user code: 2022-12-01T10:53:15.3741668Z File "distributions/test_distributions.py", line 1657, in test_halfnormal 2022-12-01T10:53:15.3741946Z self.assertEqual(HalfNormal(std).sample().size(), (5, 5)) 2022-12-01T10:53:15.3742097Z 2022-12-01T10:53:15.3742227Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3742446Z ========== 2022-12-01T10:53:15.3742590Z ok (0.021s) 2022-12-01T10:53:15.3743062Z test_halfnormal_logprob (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_halfnormal_logprob distributions/test_distributions.py line 1678 2022-12-01T10:53:15.3743395Z due to: 2022-12-01T10:53:15.3743598Z Traceback (most recent call last): 2022-12-01T10:53:15.3743875Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3744300Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3744748Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3744940Z 2022-12-01T10:53:15.3745011Z from user code: 2022-12-01T10:53:15.3745263Z File "distributions/test_distributions.py", line 1687, in test_halfnormal_logprob 2022-12-01T10:53:15.3745552Z self._check_log_prob(HalfNormal(std), ref_log_prob) 2022-12-01T10:53:15.3745728Z 2022-12-01T10:53:15.3745848Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3746065Z ========== 2022-12-01T10:53:15.3746220Z ok (0.075s) 2022-12-01T10:53:15.3746435Z test_halfnormal_sample (__main__.TestDistributions) ... ok (0.097s) 2022-12-01T10:53:15.3746719Z test_has_examples (__main__.TestDistributions) ... ok (0.003s) 2022-12-01T10:53:15.3747242Z test_independent_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3747615Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3747804Z ok (0.948s) 2022-12-01T10:53:15.3748266Z test_independent_shape (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3748634Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3748821Z ok (0.254s) 2022-12-01T10:53:15.3749067Z test_invalid_parameter_broadcasting (__main__.TestDistributions) ... ok (0.066s) 2022-12-01T10:53:15.3749380Z test_kumaraswamy_mean_variance (__main__.TestDistributions) ... ok (0.070s) 2022-12-01T10:53:15.3749944Z test_kumaraswamy_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2601 2022-12-01T10:53:15.3750279Z due to: 2022-12-01T10:53:15.3750459Z Traceback (most recent call last): 2022-12-01T10:53:15.3750748Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3751016Z member = getattr(self.value, name) 2022-12-01T10:53:15.3751316Z AttributeError: 'tuple' object has no attribute 'base_dist' 2022-12-01T10:53:15.3751471Z 2022-12-01T10:53:15.3751541Z from user code: 2022-12-01T10:53:15.3751809Z File "distributions/test_distributions.py", line 2601, in 2022-12-01T10:53:15.3752151Z self.assertEqual(Kumaraswamy(concentration1, concentration0).sample((5,)).size(), (5, 2, 3)) 2022-12-01T10:53:15.3752341Z 2022-12-01T10:53:15.3752472Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3752687Z ========== 2022-12-01T10:53:15.3752832Z ok (0.112s) 2022-12-01T10:53:15.3753292Z test_laplace (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2430 2022-12-01T10:53:15.3753619Z due to: 2022-12-01T10:53:15.3753787Z Traceback (most recent call last): 2022-12-01T10:53:15.3754075Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3754350Z member = getattr(self.value, name) 2022-12-01T10:53:15.3754645Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3754785Z 2022-12-01T10:53:15.3754856Z from user code: 2022-12-01T10:53:15.3755113Z File "distributions/test_distributions.py", line 2430, in 2022-12-01T10:53:15.3755420Z self.assertEqual(Laplace(loc, scale).sample((7,)).size(), (7, 5, 5)) 2022-12-01T10:53:15.3755580Z 2022-12-01T10:53:15.3755698Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3755947Z ========== 2022-12-01T10:53:15.3756103Z ok (0.286s) 2022-12-01T10:53:15.3756314Z test_laplace_sample (__main__.TestDistributions) ... ok (0.283s) 2022-12-01T10:53:15.3756601Z test_lazy_property_grad (__main__.TestDistributions) ... ok (0.034s) 2022-12-01T10:53:15.3757143Z test_lkj_cholesky_log_prob (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_lkj_cholesky_log_prob distributions/test_distributions.py line 2877 2022-12-01T10:53:15.3757477Z due to: 2022-12-01T10:53:15.3757647Z Traceback (most recent call last): 2022-12-01T10:53:15.3757922Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3758391Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3758831Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3759033Z 2022-12-01T10:53:15.3759105Z from user code: 2022-12-01T10:53:15.3759357Z File "distributions/test_distributions.py", line 2886, in test_lkj_cholesky_log_prob 2022-12-01T10:53:15.3759657Z lkj = LKJCholesky(dim, concentration=1., validate_args=True) 2022-12-01T10:53:15.3759813Z 2022-12-01T10:53:15.3759930Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3760144Z ========== 2022-12-01T10:53:15.3760302Z ok (0.074s) 2022-12-01T10:53:15.3760776Z test_logisticnormal (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1758 2022-12-01T10:53:15.3761117Z due to: 2022-12-01T10:53:15.3761302Z Traceback (most recent call last): 2022-12-01T10:53:15.3761589Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3761853Z member = getattr(self.value, name) 2022-12-01T10:53:15.3762151Z AttributeError: 'tuple' object has no attribute 'base_dist' 2022-12-01T10:53:15.3762306Z 2022-12-01T10:53:15.3762376Z from user code: 2022-12-01T10:53:15.3762629Z File "distributions/test_distributions.py", line 1758, in 2022-12-01T10:53:15.3762956Z self.assertEqual(LogisticNormal(mean, std).sample((7,)).size(), (7, 5, 6)) 2022-12-01T10:53:15.3763123Z 2022-12-01T10:53:15.3763256Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3763470Z ========== 2022-12-01T10:53:15.3763810Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1775 2022-12-01T10:53:15.3764074Z due to: 2022-12-01T10:53:15.3764254Z Traceback (most recent call last): 2022-12-01T10:53:15.3764519Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3764942Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3765392Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3765597Z 2022-12-01T10:53:15.3765655Z from user code: 2022-12-01T10:53:15.3765887Z File "distributions/test_distributions.py", line 1775, in 2022-12-01T10:53:15.3766205Z self._gradcheck_log_prob(lambda m, s: LogisticNormal(m, s, validate_args=False), (mean, 1.0)) 2022-12-01T10:53:15.3766391Z 2022-12-01T10:53:15.3766522Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3766724Z ========== 2022-12-01T10:53:15.3767340Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1776 2022-12-01T10:53:15.3767615Z due to: 2022-12-01T10:53:15.3767788Z Traceback (most recent call last): 2022-12-01T10:53:15.3768063Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3768497Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3769019Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3769207Z 2022-12-01T10:53:15.3769278Z from user code: 2022-12-01T10:53:15.3769515Z File "distributions/test_distributions.py", line 1776, in 2022-12-01T10:53:15.3769831Z self._gradcheck_log_prob(lambda m, s: LogisticNormal(m, s, validate_args=False), (0.0, std)) 2022-12-01T10:53:15.3770013Z 2022-12-01T10:53:15.3770132Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3770349Z ========== 2022-12-01T10:53:15.3770508Z ok (0.185s) 2022-12-01T10:53:15.3770798Z test_logisticnormal_logprob (__main__.TestDistributions) ... ok (0.036s) 2022-12-01T10:53:15.3771103Z test_logisticnormal_sample (__main__.TestDistributions) ... ok (0.337s) 2022-12-01T10:53:15.3771644Z test_lognormal (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1705 2022-12-01T10:53:15.3771978Z due to: 2022-12-01T10:53:15.3772146Z Traceback (most recent call last): 2022-12-01T10:53:15.3772438Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3772718Z member = getattr(self.value, name) 2022-12-01T10:53:15.3773008Z AttributeError: 'tuple' object has no attribute 'base_dist' 2022-12-01T10:53:15.3773164Z 2022-12-01T10:53:15.3773236Z from user code: 2022-12-01T10:53:15.3773495Z File "distributions/test_distributions.py", line 1705, in 2022-12-01T10:53:15.3773809Z self.assertEqual(LogNormal(mean, std).sample((7,)).size(), (7, 5, 5)) 2022-12-01T10:53:15.3773960Z 2022-12-01T10:53:15.3774092Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3774308Z ========== 2022-12-01T10:53:15.3774465Z ok (0.106s) 2022-12-01T10:53:15.3774679Z test_lognormal_logprob (__main__.TestDistributions) ... ok (0.136s) 2022-12-01T10:53:15.3774968Z test_lognormal_sample (__main__.TestDistributions) ... ok (0.287s) 2022-12-01T10:53:15.3775584Z test_lowrank_multivariate_normal_log_prob (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2018 2022-12-01T10:53:15.3775974Z due to: 2022-12-01T10:53:15.3776145Z Traceback (most recent call last): 2022-12-01T10:53:15.3776434Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3776710Z member = getattr(self.value, name) 2022-12-01T10:53:15.3776997Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3777152Z 2022-12-01T10:53:15.3777222Z from user code: 2022-12-01T10:53:15.3777507Z File "distributions/test_distributions.py", line 2020, in 2022-12-01T10:53:15.3777779Z x = dist1.sample((10,)) 2022-12-01T10:53:15.3777898Z 2022-12-01T10:53:15.3778030Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3778246Z ========== 2022-12-01T10:53:15.3778403Z ok (0.078s) 2022-12-01T10:53:15.3778939Z test_lowrank_multivariate_normal_moments (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2073 2022-12-01T10:53:15.3779319Z due to: 2022-12-01T10:53:15.3779501Z Traceback (most recent call last): 2022-12-01T10:53:15.3779775Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3780054Z member = getattr(self.value, name) 2022-12-01T10:53:15.3780362Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3780524Z 2022-12-01T10:53:15.3780581Z from user code: 2022-12-01T10:53:15.3780868Z File "distributions/test_distributions.py", line 2074, in 2022-12-01T10:53:15.3781192Z samples = d.rsample((100000,)) 2022-12-01T10:53:15.3781314Z 2022-12-01T10:53:15.3781446Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3781648Z ========== 2022-12-01T10:53:15.3781805Z ok (0.058s) 2022-12-01T10:53:15.3782057Z test_lowrank_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.102s) 2022-12-01T10:53:15.3782376Z test_lowrank_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.101s) 2022-12-01T10:53:15.3783028Z test_lowrank_multivariate_normal_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1981 2022-12-01T10:53:15.3783407Z due to: 2022-12-01T10:53:15.3783590Z Traceback (most recent call last): 2022-12-01T10:53:15.3783863Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3784141Z member = getattr(self.value, name) 2022-12-01T10:53:15.3784436Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3784589Z 2022-12-01T10:53:15.3784647Z from user code: 2022-12-01T10:53:15.3784934Z File "distributions/test_distributions.py", line 1982, in 2022-12-01T10:53:15.3785219Z .sample((2,)).size(), (2, 5, 3)) 2022-12-01T10:53:15.3785338Z 2022-12-01T10:53:15.3785470Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3785673Z ========== 2022-12-01T10:53:15.3785829Z ok (0.234s) 2022-12-01T10:53:15.3786355Z test_mixture_same_family_log_prob (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1875 2022-12-01T10:53:15.3786701Z due to: 2022-12-01T10:53:15.3786883Z Traceback (most recent call last): 2022-12-01T10:53:15.3787173Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 303, in var_getattr 2022-12-01T10:53:15.3787444Z if isinstance(subobj, property): 2022-12-01T10:53:15.3787771Z UnboundLocalError: local variable 'subobj' referenced before assignment 2022-12-01T10:53:15.3787942Z 2022-12-01T10:53:15.3788012Z from user code: 2022-12-01T10:53:15.3788289Z File "distributions/test_distributions.py", line 1875, in 2022-12-01T10:53:15.3788562Z Normal(loc, scale)), ref_log_prob) 2022-12-01T10:53:15.3788689Z 2022-12-01T10:53:15.3788819Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3789035Z ========== 2022-12-01T10:53:15.3789181Z ok (0.189s) 2022-12-01T10:53:15.3789415Z test_mixture_same_family_sample (__main__.TestDistributions) ... ok (0.057s) 2022-12-01T10:53:15.3790001Z test_mixture_same_family_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1821 2022-12-01T10:53:15.3790360Z due to: 2022-12-01T10:53:15.3790529Z Traceback (most recent call last): 2022-12-01T10:53:15.3790818Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 303, in var_getattr 2022-12-01T10:53:15.3791097Z if isinstance(subobj, property): 2022-12-01T10:53:15.3791409Z UnboundLocalError: local variable 'subobj' referenced before assignment 2022-12-01T10:53:15.3791581Z 2022-12-01T10:53:15.3791652Z from user code: 2022-12-01T10:53:15.3791928Z File "distributions/test_distributions.py", line 1821, in 2022-12-01T10:53:15.3792206Z Normal(torch.randn(5), torch.rand(5))) 2022-12-01T10:53:15.3792338Z 2022-12-01T10:53:15.3792468Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3792682Z ========== 2022-12-01T10:53:15.3792839Z ok (0.065s) 2022-12-01T10:53:15.3793268Z test_mode (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3793652Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3793851Z ok (0.692s) 2022-12-01T10:53:15.3794318Z test_multinomial_1d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1265 2022-12-01T10:53:15.3794651Z due to: 2022-12-01T10:53:15.3794833Z Traceback (most recent call last): 2022-12-01T10:53:15.3795108Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3795414Z member = getattr(self.value, name) 2022-12-01T10:53:15.3795723Z AttributeError: 'tuple' object has no attribute '_categorical' 2022-12-01T10:53:15.3795881Z 2022-12-01T10:53:15.3795950Z from user code: 2022-12-01T10:53:15.3796103Z File "distributions/test_distributions.py", line 1265, in 2022-12-01T10:53:15.3796248Z self.assertEqual(Multinomial(total_count, p).sample((2, 2)).size(), (2, 2, 3)) 2022-12-01T10:53:15.3796253Z 2022-12-01T10:53:15.3796386Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3796449Z ========== 2022-12-01T10:53:15.3796513Z ok (0.088s) 2022-12-01T10:53:15.3796665Z test_multinomial_1d_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.192s) 2022-12-01T10:53:15.3797053Z test_multinomial_2d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1298 2022-12-01T10:53:15.3797114Z due to: 2022-12-01T10:53:15.3797195Z Traceback (most recent call last): 2022-12-01T10:53:15.3797359Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3797451Z member = getattr(self.value, name) 2022-12-01T10:53:15.3797633Z AttributeError: 'tuple' object has no attribute '_categorical' 2022-12-01T10:53:15.3797640Z 2022-12-01T10:53:15.3797709Z from user code: 2022-12-01T10:53:15.3797870Z File "distributions/test_distributions.py", line 1298, in 2022-12-01T10:53:15.3798012Z self.assertEqual(Multinomial(total_count, p).sample((6,)).size(), (6, 2, 3)) 2022-12-01T10:53:15.3798018Z 2022-12-01T10:53:15.3798147Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3798197Z ========== 2022-12-01T10:53:15.3798261Z ok (0.132s) 2022-12-01T10:53:15.3798696Z test_multivariate_normal_log_prob (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2157 2022-12-01T10:53:15.3798761Z due to: 2022-12-01T10:53:15.3798851Z Traceback (most recent call last): 2022-12-01T10:53:15.3799015Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3799105Z member = getattr(self.value, name) 2022-12-01T10:53:15.3799278Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3799283Z 2022-12-01T10:53:15.3799339Z from user code: 2022-12-01T10:53:15.3799516Z File "distributions/test_distributions.py", line 2159, in 2022-12-01T10:53:15.3799595Z x = dist1.sample((10,)) 2022-12-01T10:53:15.3799600Z 2022-12-01T10:53:15.3799730Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3799790Z ========== 2022-12-01T10:53:15.3799853Z ok (0.138s) 2022-12-01T10:53:15.3800285Z test_multivariate_normal_moments (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2215 2022-12-01T10:53:15.3800349Z due to: 2022-12-01T10:53:15.3800428Z Traceback (most recent call last): 2022-12-01T10:53:15.3800593Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3800718Z member = getattr(self.value, name) 2022-12-01T10:53:15.3800904Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3800909Z 2022-12-01T10:53:15.3800978Z from user code: 2022-12-01T10:53:15.3801154Z File "distributions/test_distributions.py", line 2216, in 2022-12-01T10:53:15.3801241Z samples = d.rsample((100000,)) 2022-12-01T10:53:15.3801246Z 2022-12-01T10:53:15.3801378Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3801427Z ========== 2022-12-01T10:53:15.3801492Z ok (0.060s) 2022-12-01T10:53:15.3801670Z test_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.063s) 2022-12-01T10:53:15.3801814Z test_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.328s) 2022-12-01T10:53:15.3802238Z test_multivariate_normal_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2100 2022-12-01T10:53:15.3802305Z due to: 2022-12-01T10:53:15.3802394Z Traceback (most recent call last): 2022-12-01T10:53:15.3802557Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3802638Z member = getattr(self.value, name) 2022-12-01T10:53:15.3802810Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3802815Z 2022-12-01T10:53:15.3802884Z from user code: 2022-12-01T10:53:15.3803063Z File "distributions/test_distributions.py", line 2100, in 2022-12-01T10:53:15.3803222Z self.assertEqual(MultivariateNormal(mean_multi_batch, cov).sample().size(), (6, 5, 3)) 2022-12-01T10:53:15.3803227Z 2022-12-01T10:53:15.3803358Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3803419Z ========== 2022-12-01T10:53:15.3803695Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT gradcheck_func distributions/test_distributions.py line 2121 2022-12-01T10:53:15.3803746Z due to: 2022-12-01T10:53:15.3803836Z Traceback (most recent call last): 2022-12-01T10:53:15.3803998Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:53:15.3804101Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:53:15.3804221Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:53:15.3804226Z 2022-12-01T10:53:15.3804295Z from user code: 2022-12-01T10:53:15.3804436Z File "distributions/test_distributions.py", line 2123, in gradcheck_func 2022-12-01T10:53:15.3804564Z sigma = 0.5 * (sigma + sigma.mT) # Ensure symmetry of covariance 2022-12-01T10:53:15.3804570Z 2022-12-01T10:53:15.3804687Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3804748Z ========== 2022-12-01T10:53:15.3804813Z ok (0.485s) 2022-12-01T10:53:15.3804983Z test_multivariate_normal_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.021s) 2022-12-01T10:53:15.3805358Z test_negative_binomial (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_negative_binomial distributions/test_distributions.py line 1213 2022-12-01T10:53:15.3805422Z due to: 2022-12-01T10:53:15.3805510Z Traceback (most recent call last): 2022-12-01T10:53:15.3805654Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3805906Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3806167Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3806173Z 2022-12-01T10:53:15.3806242Z from user code: 2022-12-01T10:53:15.3806391Z File "distributions/test_distributions.py", line 1216, in test_negative_binomial 2022-12-01T10:53:15.3806539Z self._gradcheck_log_prob(lambda p: NegativeBinomial(total_count, p), [p]) 2022-12-01T10:53:15.3806573Z 2022-12-01T10:53:15.3806704Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3806766Z ========== 2022-12-01T10:53:15.3807263Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1216 2022-12-01T10:53:15.3807318Z due to: 2022-12-01T10:53:15.3807410Z Traceback (most recent call last): 2022-12-01T10:53:15.3807570Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3807825Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3808155Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3808161Z 2022-12-01T10:53:15.3808233Z from user code: 2022-12-01T10:53:15.3808368Z File "distributions/test_distributions.py", line 1216, in 2022-12-01T10:53:15.3808521Z self._gradcheck_log_prob(lambda p: NegativeBinomial(total_count, p), [p]) 2022-12-01T10:53:15.3808527Z 2022-12-01T10:53:15.3808643Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3808706Z ========== 2022-12-01T10:53:15.3808970Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1217 2022-12-01T10:53:15.3809036Z due to: 2022-12-01T10:53:15.3809128Z Traceback (most recent call last): 2022-12-01T10:53:15.3809284Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3809533Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3809789Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3809794Z 2022-12-01T10:53:15.3809852Z from user code: 2022-12-01T10:53:15.3809985Z File "distributions/test_distributions.py", line 1217, in 2022-12-01T10:53:15.3810150Z self._gradcheck_log_prob(lambda p: NegativeBinomial(total_count, None, p.log()), [p]) 2022-12-01T10:53:15.3810155Z 2022-12-01T10:53:15.3810284Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3810347Z ========== 2022-12-01T10:53:15.3810412Z ok (0.078s) 2022-12-01T10:53:15.3810813Z test_negative_binomial_log_prob (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_negative_binomial_log_prob distributions/test_distributions.py line 1221 2022-12-01T10:53:15.3810875Z due to: 2022-12-01T10:53:15.3810954Z Traceback (most recent call last): 2022-12-01T10:53:15.3811110Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3811359Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3811610Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3811617Z 2022-12-01T10:53:15.3811686Z from user code: 2022-12-01T10:53:15.3811842Z File "distributions/test_distributions.py", line 1231, in test_negative_binomial_log_prob 2022-12-01T10:53:15.3811984Z self._check_log_prob(NegativeBinomial(total_count, probs), ref_log_prob) 2022-12-01T10:53:15.3811989Z 2022-12-01T10:53:15.3812117Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3812166Z ========== 2022-12-01T10:53:15.3812230Z ok (0.174s) 2022-12-01T10:53:15.3812392Z test_negative_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.029s) 2022-12-01T10:53:15.3812755Z test_normal (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1912 2022-12-01T10:53:15.3812818Z due to: 2022-12-01T10:53:15.3812910Z Traceback (most recent call last): 2022-12-01T10:53:15.3813076Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3813210Z member = getattr(self.value, name) 2022-12-01T10:53:15.3813382Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3813387Z 2022-12-01T10:53:15.3813456Z from user code: 2022-12-01T10:53:15.3813606Z File "distributions/test_distributions.py", line 1912, in 2022-12-01T10:53:15.3813736Z self.assertEqual(Normal(loc, scale).sample((7,)).size(), (7, 5, 5)) 2022-12-01T10:53:15.3813741Z 2022-12-01T10:53:15.3813871Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3813932Z ========== 2022-12-01T10:53:15.3813995Z ok (0.317s) 2022-12-01T10:53:15.3814151Z test_normal_sample (__main__.TestDistributions) ... ok (0.282s) 2022-12-01T10:53:15.3814552Z test_one_hot_categorical_1d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1364 2022-12-01T10:53:15.3814618Z due to: 2022-12-01T10:53:15.3814708Z Traceback (most recent call last): 2022-12-01T10:53:15.3814872Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3814964Z member = getattr(self.value, name) 2022-12-01T10:53:15.3815147Z AttributeError: 'tuple' object has no attribute '_categorical' 2022-12-01T10:53:15.3815152Z 2022-12-01T10:53:15.3815221Z from user code: 2022-12-01T10:53:15.3815395Z File "distributions/test_distributions.py", line 1364, in 2022-12-01T10:53:15.3815523Z self.assertEqual(OneHotCategorical(p).sample((2, 2)).size(), (2, 2, 3)) 2022-12-01T10:53:15.3815530Z 2022-12-01T10:53:15.3815660Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3815721Z ========== 2022-12-01T10:53:15.3815785Z ok (0.082s) 2022-12-01T10:53:15.3816193Z test_one_hot_categorical_2d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1376 2022-12-01T10:53:15.3816258Z due to: 2022-12-01T10:53:15.3816345Z Traceback (most recent call last): 2022-12-01T10:53:15.3816510Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3816589Z member = getattr(self.value, name) 2022-12-01T10:53:15.3816769Z AttributeError: 'tuple' object has no attribute '_categorical' 2022-12-01T10:53:15.3816774Z 2022-12-01T10:53:15.3816842Z from user code: 2022-12-01T10:53:15.3817014Z File "distributions/test_distributions.py", line 1376, in 2022-12-01T10:53:15.3817152Z self.assertEqual(OneHotCategorical(p).sample((6,)).size(), (6, 2, 3)) 2022-12-01T10:53:15.3817157Z 2022-12-01T10:53:15.3817285Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3817348Z ========== 2022-12-01T10:53:15.3817413Z ok (0.090s) 2022-12-01T10:53:15.3817561Z test_one_hot_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.005s) 2022-12-01T10:53:15.3817902Z test_pareto (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pareto distributions/test_distributions.py line 2535 2022-12-01T10:53:15.3817967Z due to: 2022-12-01T10:53:15.3818057Z Traceback (most recent call last): 2022-12-01T10:53:15.3818213Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3818461Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3818716Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3818721Z 2022-12-01T10:53:15.3818789Z from user code: 2022-12-01T10:53:15.3818914Z File "distributions/test_distributions.py", line 2541, in test_pareto 2022-12-01T10:53:15.3819028Z self.assertEqual(Pareto(scale_1d, 0.5).mean, inf) 2022-12-01T10:53:15.3819067Z 2022-12-01T10:53:15.3819196Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3819258Z ========== 2022-12-01T10:53:15.3819324Z ok (0.098s) 2022-12-01T10:53:15.3819449Z test_pareto_sample (__main__.TestDistributions) ... ok (0.284s) 2022-12-01T10:53:15.3819822Z test_poisson_forward_ad (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_poisson_forward_ad distributions/test_distributions.py line 1390 2022-12-01T10:53:15.3819885Z due to: 2022-12-01T10:53:15.3819963Z Traceback (most recent call last): 2022-12-01T10:53:15.3820149Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3820398Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3820680Z AssertionError: torch.* op returned non-Tensor dual_level call_function 2022-12-01T10:53:15.3820687Z 2022-12-01T10:53:15.3820755Z from user code: 2022-12-01T10:53:15.3820906Z File "distributions/test_distributions.py", line 1391, in test_poisson_forward_ad 2022-12-01T10:53:15.3821007Z self._check_forward_ad(torch.poisson) 2022-12-01T10:53:15.3821012Z 2022-12-01T10:53:15.3821140Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3821189Z ========== 2022-12-01T10:53:15.3821253Z ok (0.003s) 2022-12-01T10:53:15.3821406Z test_poisson_gpu_sample (__main__.TestDistributions) ... skip: CUDA not found (0.001s) 2022-12-01T10:53:15.3822087Z test_poisson_log_prob (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:53:15.3822185Z warnings.warn(msg, FutureWarning) 2022-12-01T10:53:15.3822252Z ok (0.288s) 2022-12-01T10:53:15.3822379Z test_poisson_sample (__main__.TestDistributions) ... ok (0.010s) 2022-12-01T10:53:15.3822764Z test_poisson_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1397 2022-12-01T10:53:15.3822816Z due to: 2022-12-01T10:53:15.3822907Z Traceback (most recent call last): 2022-12-01T10:53:15.3823072Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3823165Z member = getattr(self.value, name) 2022-12-01T10:53:15.3823351Z AttributeError: 'tuple' object has no attribute '_extended_shape' 2022-12-01T10:53:15.3823356Z 2022-12-01T10:53:15.3823424Z from user code: 2022-12-01T10:53:15.3823589Z File "distributions/test_distributions.py", line 1397, in 2022-12-01T10:53:15.3823714Z self.assertEqual(Poisson(rate).sample((7,)).size(), (7, 2, 3)) 2022-12-01T10:53:15.3823721Z 2022-12-01T10:53:15.3823850Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3823900Z ========== 2022-12-01T10:53:15.3823964Z ok (0.053s) 2022-12-01T10:53:15.3824361Z test_relaxed_bernoulli (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1450 2022-12-01T10:53:15.3824425Z due to: 2022-12-01T10:53:15.3824514Z Traceback (most recent call last): 2022-12-01T10:53:15.3824678Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3824771Z member = getattr(self.value, name) 2022-12-01T10:53:15.3824934Z AttributeError: 'tuple' object has no attribute 'base_dist' 2022-12-01T10:53:15.3824939Z 2022-12-01T10:53:15.3825010Z from user code: 2022-12-01T10:53:15.3825179Z File "distributions/test_distributions.py", line 1450, in 2022-12-01T10:53:15.3825351Z self.assertEqual(RelaxedBernoulli(temp, p).sample((8,)).size(), (8, 3)) 2022-12-01T10:53:15.3825357Z 2022-12-01T10:53:15.3825485Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3825546Z ========== 2022-12-01T10:53:15.3825611Z ok (0.040s) 2022-12-01T10:53:15.3826049Z test_relaxed_one_hot_categorical_1d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1491 2022-12-01T10:53:15.3826101Z due to: 2022-12-01T10:53:15.3826192Z Traceback (most recent call last): 2022-12-01T10:53:15.3826387Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3826481Z member = getattr(self.value, name) 2022-12-01T10:53:15.3826654Z AttributeError: 'tuple' object has no attribute 'base_dist' 2022-12-01T10:53:15.3826659Z 2022-12-01T10:53:15.3826730Z from user code: 2022-12-01T10:53:15.3826911Z File "distributions/test_distributions.py", line 1491, in 2022-12-01T10:53:15.3827098Z self.assertEqual(RelaxedOneHotCategorical(probs=p, temperature=temp).sample((2, 2)).size(), (2, 2, 3)) 2022-12-01T10:53:15.3827103Z 2022-12-01T10:53:15.3827231Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3827280Z ========== 2022-12-01T10:53:15.3827345Z ok (0.105s) 2022-12-01T10:53:15.3827781Z test_relaxed_one_hot_categorical_2d (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1506 2022-12-01T10:53:15.3827847Z due to: 2022-12-01T10:53:15.3827937Z Traceback (most recent call last): 2022-12-01T10:53:15.3828101Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3828194Z member = getattr(self.value, name) 2022-12-01T10:53:15.3828361Z AttributeError: 'tuple' object has no attribute 'base_dist' 2022-12-01T10:53:15.3828366Z 2022-12-01T10:53:15.3828436Z from user code: 2022-12-01T10:53:15.3828614Z File "distributions/test_distributions.py", line 1506, in 2022-12-01T10:53:15.3828773Z self.assertEqual(RelaxedOneHotCategorical(temp, p).sample((6,)).size(), (6, 2, 3)) 2022-12-01T10:53:15.3828779Z 2022-12-01T10:53:15.3828908Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3828970Z ========== 2022-12-01T10:53:15.3829034Z ok (0.135s) 2022-12-01T10:53:15.3829149Z test_repr (__main__.TestDistributions) ... ok (0.020s) 2022-12-01T10:53:15.3829279Z test_rounded_relaxed_bernoulli (__main__.TestDistributions) ... ok (0.069s) 2022-12-01T10:53:15.3829650Z test_rsample_requires_grad (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3829762Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3829827Z ok (0.018s) 2022-12-01T10:53:15.3830188Z test_sample_detached (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3830296Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3830360Z ok (0.019s) 2022-12-01T10:53:15.3830708Z test_studentT (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_studentT distributions/test_distributions.py line 2689 2022-12-01T10:53:15.3830760Z due to: 2022-12-01T10:53:15.3830850Z Traceback (most recent call last): 2022-12-01T10:53:15.3831007Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3831258Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3831513Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3831549Z 2022-12-01T10:53:15.3831625Z from user code: 2022-12-01T10:53:15.3831764Z File "distributions/test_distributions.py", line 2693, in test_studentT 2022-12-01T10:53:15.3831874Z self.assertTrue(is_all_nan(StudentT(1).mean)) 2022-12-01T10:53:15.3831880Z 2022-12-01T10:53:15.3831996Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3832058Z ========== 2022-12-01T10:53:15.3832122Z ok (0.196s) 2022-12-01T10:53:15.3832254Z test_studentT_log_prob (__main__.TestDistributions) ... ok (0.092s) 2022-12-01T10:53:15.3832384Z test_studentT_sample (__main__.TestDistributions) ... ok (1.175s) 2022-12-01T10:53:15.3832555Z test_support_attributes (__main__.TestDistributions) ... ok (0.027s) 2022-12-01T10:53:15.3832924Z test_uniform (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 1550 2022-12-01T10:53:15.3832992Z due to: 2022-12-01T10:53:15.3833070Z Traceback (most recent call last): 2022-12-01T10:53:15.3833237Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3833329Z member = getattr(self.value, name) 2022-12-01T10:53:15.3833502Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3833508Z 2022-12-01T10:53:15.3833578Z from user code: 2022-12-01T10:53:15.3833733Z File "distributions/test_distributions.py", line 1550, in 2022-12-01T10:53:15.3833862Z self.assertEqual(Uniform(low, high).sample((7,)).size(), (7, 5, 5)) 2022-12-01T10:53:15.3833866Z 2022-12-01T10:53:15.3834000Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3834051Z ========== 2022-12-01T10:53:15.3834117Z ok (0.106s) 2022-12-01T10:53:15.3834530Z test_valid_parameter_broadcasting (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_valid_parameter_broadcasting distributions/test_distributions.py line 2996 2022-12-01T10:53:15.3834596Z due to: 2022-12-01T10:53:15.3834688Z Traceback (most recent call last): 2022-12-01T10:53:15.3834842Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3835091Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3835346Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3835351Z 2022-12-01T10:53:15.3835408Z from user code: 2022-12-01T10:53:15.3835569Z File "distributions/test_distributions.py", line 3001, in test_valid_parameter_broadcasting 2022-12-01T10:53:15.3835669Z (Normal(loc=torch.tensor([0., 0.]), scale=1), 2022-12-01T10:53:15.3835674Z 2022-12-01T10:53:15.3835803Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3835865Z ========== 2022-12-01T10:53:15.3835932Z ok (0.038s) 2022-12-01T10:53:15.3836297Z test_vonmises_logprob (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_vonmises_logprob distributions/test_distributions.py line 1592 2022-12-01T10:53:15.3836363Z due to: 2022-12-01T10:53:15.3836442Z Traceback (most recent call last): 2022-12-01T10:53:15.3836596Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3836840Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3837095Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3837102Z 2022-12-01T10:53:15.3837172Z from user code: 2022-12-01T10:53:15.3837320Z File "distributions/test_distributions.py", line 1596, in test_vonmises_logprob 2022-12-01T10:53:15.3837443Z prob = VonMises(0.0, concentration).log_prob(grid).exp() 2022-12-01T10:53:15.3837449Z 2022-12-01T10:53:15.3837613Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3837662Z ========== 2022-12-01T10:53:15.3837728Z ok (0.015s) 2022-12-01T10:53:15.3838091Z test_vonmises_sample (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_vonmises_sample distributions/test_distributions.py line 1583 2022-12-01T10:53:15.3838154Z due to: 2022-12-01T10:53:15.3838244Z Traceback (most recent call last): 2022-12-01T10:53:15.3838398Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3838644Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3838923Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3838929Z 2022-12-01T10:53:15.3838986Z from user code: 2022-12-01T10:53:15.3839134Z File "distributions/test_distributions.py", line 1587, in test_vonmises_sample 2022-12-01T10:53:15.3839267Z self._check_sampler_sampler(VonMises(loc, concentration), 2022-12-01T10:53:15.3839272Z 2022-12-01T10:53:15.3839400Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3839462Z ========== 2022-12-01T10:53:15.3839528Z ok (7.023s) 2022-12-01T10:53:15.3839886Z test_wishart_log_prob (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3839996Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3840253Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3840367Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3840432Z ok (0.141s) 2022-12-01T10:53:15.3840887Z test_wishart_moments (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:104: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-12-01T10:53:15.3841152Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-12-01T10:53:15.3841425Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3841533Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3841598Z ok (1.488s) 2022-12-01T10:53:15.3842061Z test_wishart_properties (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:104: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-12-01T10:53:15.3842305Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-12-01T10:53:15.3842369Z ok (0.071s) 2022-12-01T10:53:15.3842725Z test_wishart_sample (__main__.TestDistributions) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3842835Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3843104Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3843210Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3843275Z ok (0.341s) 2022-12-01T10:53:15.3843659Z test_wishart_shape (__main__.TestDistributions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 2245 2022-12-01T10:53:15.3843711Z due to: 2022-12-01T10:53:15.3843805Z Traceback (most recent call last): 2022-12-01T10:53:15.3843970Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/constant.py", line 63, in const_getattr 2022-12-01T10:53:15.3844063Z member = getattr(self.value, name) 2022-12-01T10:53:15.3844235Z AttributeError: 'tuple' object has no attribute 'rsample' 2022-12-01T10:53:15.3844271Z 2022-12-01T10:53:15.3844343Z from user code: 2022-12-01T10:53:15.3844506Z File "distributions/test_distributions.py", line 2245, in 2022-12-01T10:53:15.3844646Z self.assertEqual(Wishart(df_no_batch, cov).sample().size(), (ndim, ndim)) 2022-12-01T10:53:15.3844652Z 2022-12-01T10:53:15.3844770Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3844832Z ========== 2022-12-01T10:53:15.3845104Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT gradcheck_func distributions/test_distributions.py line 2266 2022-12-01T10:53:15.3845167Z due to: 2022-12-01T10:53:15.3845257Z Traceback (most recent call last): 2022-12-01T10:53:15.3845447Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 497, in call_method 2022-12-01T10:53:15.3845552Z *proxy_args_kwargs([self] + args, kwargs), 2022-12-01T10:53:15.3845675Z TypeError: can only concatenate list (not "tuple") to list 2022-12-01T10:53:15.3845682Z 2022-12-01T10:53:15.3845740Z from user code: 2022-12-01T10:53:15.3845882Z File "distributions/test_distributions.py", line 2268, in gradcheck_func 2022-12-01T10:53:15.3846007Z sigma = 0.5 * (sigma + sigma.mT) # Ensure symmetry of covariance 2022-12-01T10:53:15.3846011Z 2022-12-01T10:53:15.3846141Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3846203Z ========== 2022-12-01T10:53:15.3846477Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3846585Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3846859Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3847091Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3847462Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3847573Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3847839Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3847946Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3848213Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3848322Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3848591Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3848683Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3848949Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3849057Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3849325Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3849434Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3849698Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3849803Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3850063Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3850156Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3850423Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3850531Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3850598Z ok (0.568s) 2022-12-01T10:53:15.3850755Z test_wishart_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.022s) 2022-12-01T10:53:15.3850912Z test_zero_excluded_binomial (__main__.TestDistributions) ... skip: CUDA not found (0.001s) 2022-12-01T10:53:15.3851091Z test_cat_event_dim (__main__.TestFunctors) ... ok (0.090s) 2022-12-01T10:53:15.3851209Z test_cat_transform (__main__.TestFunctors) ... ok (0.051s) 2022-12-01T10:53:15.3851327Z test_cat_transform_non_uniform (__main__.TestFunctors) ... ok (0.074s) 2022-12-01T10:53:15.3851448Z test_stack_transform (__main__.TestFunctors) ... ok (0.044s) 2022-12-01T10:53:15.3851775Z test_cdf (__main__.TestJit) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT distributions/test_distributions.py line 5229 2022-12-01T10:53:15.3851840Z due to: 2022-12-01T10:53:15.3851934Z Traceback (most recent call last): 2022-12-01T10:53:15.3852143Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3852395Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3852653Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3852661Z 2022-12-01T10:53:15.3852718Z from user code: 2022-12-01T10:53:15.3852863Z File "distributions/test_distributions.py", line 5230, in 2022-12-01T10:53:15.3852940Z dist = Dist(**param) 2022-12-01T10:53:15.3852945Z 2022-12-01T10:53:15.3853077Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3853138Z ========== 2022-12-01T10:53:15.3853411Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3853519Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3853584Z ok (3.130s) 2022-12-01T10:53:15.3853897Z test_entropy (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3854004Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3854377Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:104: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-12-01T10:53:15.3854637Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-12-01T10:53:15.3854702Z ok (3.693s) 2022-12-01T10:53:15.3855043Z test_enumerate_support (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3855150Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3855219Z ok (0.523s) 2022-12-01T10:53:15.3855534Z test_log_prob (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3855641Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3856011Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:104: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-12-01T10:53:15.3856273Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-12-01T10:53:15.3856338Z ok (6.201s) 2022-12-01T10:53:15.3856654Z test_mean (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3856761Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3857126Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:104: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-12-01T10:53:15.3857390Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-12-01T10:53:15.3857442Z ok (1.800s) 2022-12-01T10:53:15.3857769Z test_rsample (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3857913Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3857978Z ok (0.796s) 2022-12-01T10:53:15.3858300Z test_sample (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3858405Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3858468Z ok (0.811s) 2022-12-01T10:53:15.3858792Z test_variance (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3858886Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3859280Z /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:104: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-12-01T10:53:15.3859543Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-12-01T10:53:15.3859609Z ok (2.884s) 2022-12-01T10:53:15.3859953Z test_entropy_exponential_family (__main__.TestKL) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ distributions/test_distributions.py line 3919 2022-12-01T10:53:15.3860018Z due to: 2022-12-01T10:53:15.3860110Z Traceback (most recent call last): 2022-12-01T10:53:15.3860266Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3860502Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3860760Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3860764Z 2022-12-01T10:53:15.3860835Z from user code: 2022-12-01T10:53:15.3860969Z File "distributions/test_distributions.py", line 3920, in __init__ 2022-12-01T10:53:15.3861072Z super(Binomial30, self).__init__(30, probs) 2022-12-01T10:53:15.3861079Z 2022-12-01T10:53:15.3861209Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3861271Z ========== 2022-12-01T10:53:15.3861336Z ok (0.384s) 2022-12-01T10:53:15.3861664Z test_entropy_monte_carlo (__main__.TestKL) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3861771Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3861836Z ok (2.769s) 2022-12-01T10:53:15.3862174Z test_kl_edgecases (__main__.TestKL) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_kl_edgecases distributions/test_distributions.py line 4235 2022-12-01T10:53:15.3862237Z due to: 2022-12-01T10:53:15.3862331Z Traceback (most recent call last): 2022-12-01T10:53:15.3862486Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3862734Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3862979Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3862997Z 2022-12-01T10:53:15.3863055Z from user code: 2022-12-01T10:53:15.3863196Z File "distributions/test_distributions.py", line 4236, in test_kl_edgecases 2022-12-01T10:53:15.3863326Z self.assertEqual(kl_divergence(Bernoulli(0), Bernoulli(0)), 0) 2022-12-01T10:53:15.3863331Z 2022-12-01T10:53:15.3863461Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3863522Z ========== 2022-12-01T10:53:15.3863586Z ok (0.018s) 2022-12-01T10:53:15.3863705Z test_kl_exponential_family (__main__.TestKL) ... ok (0.047s) 2022-12-01T10:53:15.3863801Z test_kl_infinite (__main__.TestKL) ... ok (0.061s) 2022-12-01T10:53:15.3863930Z test_kl_lowrank_multivariate_normal (__main__.TestKL) ... ok (0.054s) 2022-12-01T10:53:15.3864070Z test_kl_lowrank_multivariate_normal_batched (__main__.TestKL) ... ok (0.498s) 2022-12-01T10:53:15.3864176Z test_kl_monte_carlo (__main__.TestKL) ... ok (0.655s) 2022-12-01T10:53:15.3864328Z test_kl_multivariate_normal (__main__.TestKL) ... ok (0.048s) 2022-12-01T10:53:15.3864458Z test_kl_multivariate_normal_batched (__main__.TestKL) ... ok (0.489s) 2022-12-01T10:53:15.3864602Z test_kl_multivariate_normal_batched_broadcasted (__main__.TestKL) ... ok (0.501s) 2022-12-01T10:53:15.3864706Z test_kl_shape (__main__.TestKL) ... ok (0.405s) 2022-12-01T10:53:15.3864802Z test_kl_transformed (__main__.TestKL) ... ok (0.059s) 2022-12-01T10:53:15.3864970Z test_lazy_logits_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.045s) 2022-12-01T10:53:15.3865172Z test_lazy_probs_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.034s) 2022-12-01T10:53:15.3865316Z test_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.368s) 2022-12-01T10:53:15.3865470Z test_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.033s) 2022-12-01T10:53:15.3865625Z test_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.033s) 2022-12-01T10:53:15.3865772Z test_categorical_log_prob (__main__.TestNumericalStability) ... ok (0.016s) 2022-12-01T10:53:15.3865932Z test_categorical_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.017s) 2022-12-01T10:53:15.3866074Z test_continuous_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.180s) 2022-12-01T10:53:15.3866240Z test_continuous_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.024s) 2022-12-01T10:53:15.3866408Z test_continuous_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.024s) 2022-12-01T10:53:15.3866554Z test_multinomial_log_prob (__main__.TestNumericalStability) ... ok (0.018s) 2022-12-01T10:53:15.3866709Z test_multinomial_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.018s) 2022-12-01T10:53:15.3866828Z test_beta_wrt_alpha (__main__.TestRsample) ... ok (0.053s) 2022-12-01T10:53:15.3866943Z test_beta_wrt_beta (__main__.TestRsample) ... ok (0.053s) 2022-12-01T10:53:15.3867272Z test_chi2 (__main__.TestRsample) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_chi2 distributions/test_distributions.py line 3273 2022-12-01T10:53:15.3867324Z due to: 2022-12-01T10:53:15.3867415Z Traceback (most recent call last): 2022-12-01T10:53:15.3867570Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:15.3867816Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:15.3868071Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:53:15.3868078Z 2022-12-01T10:53:15.3868148Z from user code: 2022-12-01T10:53:15.3868283Z File "distributions/test_distributions.py", line 3278, in test_chi2 2022-12-01T10:53:15.3868362Z x = Chi2(dfs).rsample() 2022-12-01T10:53:15.3868368Z 2022-12-01T10:53:15.3868484Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3868548Z ========== 2022-12-01T10:53:15.3868612Z ok (0.041s) 2022-12-01T10:53:15.3868741Z test_dirichlet_multivariate (__main__.TestRsample) ... ok (0.481s) 2022-12-01T10:53:15.3868864Z test_dirichlet_on_diagonal (__main__.TestRsample) ... ok (0.055s) 2022-12-01T10:53:15.3868988Z test_dirichlet_tangent_field (__main__.TestRsample) ... ok (0.131s) 2022-12-01T10:53:15.3869093Z test_gamma (__main__.TestRsample) ... ok (0.049s) 2022-12-01T10:53:15.3869537Z test_invalid (__main__.TestValidation) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:104: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-12-01T10:53:15.3869788Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-12-01T10:53:15.3869853Z ok (0.028s) 2022-12-01T10:53:15.3870215Z test_invalid_log_probs_arg (__main__.TestValidation) ... /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py:250: UserWarning: Singular sample detected. 2022-12-01T10:53:15.3870353Z warnings.warn("Singular sample detected.") 2022-12-01T10:53:15.3870416Z ok (0.377s) 2022-12-01T10:53:15.3870523Z test_valid (__main__.TestValidation) ... ok (0.015s) 2022-12-01T10:53:15.3870892Z test_warning_unimplemented_constraints (__main__.TestValidation) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT Delta distributions/test_distributions.py line 4986 2022-12-01T10:53:15.3870955Z due to: 2022-12-01T10:53:15.3871065Z Traceback (most recent call last): 2022-12-01T10:53:15.3871217Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:53:15.3871326Z raise Unsupported(msg) 2022-12-01T10:53:15.3871445Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:53:15.3871451Z 2022-12-01T10:53:15.3871519Z from user code: 2022-12-01T10:53:15.3871648Z File "distributions/test_distributions.py", line 4986, in Delta 2022-12-01T10:53:15.3871734Z class Delta(Distribution): 2022-12-01T10:53:15.3871739Z 2022-12-01T10:53:15.3871867Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:15.3871918Z ========== 2022-12-01T10:53:15.3871984Z ok (0.029s) 2022-12-01T10:53:15.3871989Z 2022-12-01T10:53:15.3872188Z ---------------------------------------------------------------------- 2022-12-01T10:53:15.3872266Z Ran 219 tests in 62.324s 2022-12-01T10:53:15.3872271Z 2022-12-01T10:53:15.3872341Z OK (skipped=5) 2022-12-01T10:53:15.3872345Z 2022-12-01T10:53:15.3872426Z Generating XML reports... 2022-12-01T10:53:15.3872752Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestAgainstScipy-20221201105212.xml 2022-12-01T10:53:15.3873070Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestConstraints-20221201105212.xml 2022-12-01T10:53:15.3873393Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributionShapes-20221201105212.xml 2022-12-01T10:53:15.3873710Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributions-20221201105212.xml 2022-12-01T10:53:15.3874020Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestFunctors-20221201105212.xml 2022-12-01T10:53:15.3874310Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestJit-20221201105212.xml 2022-12-01T10:53:15.3874594Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestKL-20221201105212.xml 2022-12-01T10:53:15.3874947Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestLazyLogitsInitialization-20221201105212.xml 2022-12-01T10:53:15.3875277Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestNumericalStability-20221201105212.xml 2022-12-01T10:53:15.3875575Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestRsample-20221201105212.xml 2022-12-01T10:53:15.3875880Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestValidation-20221201105212.xml 2022-12-01T10:53:15.3875885Z 2022-12-01T10:53:15.3876220Z ##[endgroup] 2022-12-01T10:53:15.3876570Z FINISHED PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_yi8rh5r7) 2022-12-01T10:53:15.3876576Z 2022-12-01T10:53:15.3876739Z Running test_mkldnn_fusion ... [2022-12-01 10:53:15.342877] 2022-12-01T10:53:15.3877177Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn_fusion.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:53:15.343190] 2022-12-01T10:53:30.9580483Z 2022-12-01T10:53:30.9581049Z Expand the folded group to see the log file of test_mkldnn_fusion 2022-12-01T10:53:30.9582232Z ##[group]PRINTING LOG FILE of test_mkldnn_fusion (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_fusion_42bckb2_) 2022-12-01T10:53:30.9583414Z Test results will be stored in test-reports/python-unittest/test_mkldnn_fusion 2022-12-01T10:53:30.9583731Z 2022-12-01T10:53:30.9583850Z Running tests... 2022-12-01T10:53:30.9584308Z ---------------------------------------------------------------------- 2022-12-01T10:53:30.9585095Z test_conv_eltwise (__main__.TestMkldnnFusion) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _check_model test_mkldnn_fusion.py line 22 2022-12-01T10:53:30.9585597Z due to: 2022-12-01T10:53:30.9585884Z Traceback (most recent call last): 2022-12-01T10:53:30.9586465Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:30.9587229Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:30.9588093Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:53:30.9588499Z 2022-12-01T10:53:30.9588609Z from user code: 2022-12-01T10:53:30.9588940Z File "test_mkldnn_fusion.py", line 23, in _check_model 2022-12-01T10:53:30.9589376Z old_fusion_inlining = torch._C._debug_get_fusion_group_inlining() 2022-12-01T10:53:30.9589626Z 2022-12-01T10:53:30.9589827Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:30.9590187Z ========== 2022-12-01T10:53:30.9590774Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT warmup_and_run_forward /var/lib/jenkins/workspace/test/test_tensorexpr.py line 31 2022-12-01T10:53:30.9591153Z due to: 2022-12-01T10:53:30.9591399Z Traceback (most recent call last): 2022-12-01T10:53:30.9591786Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:53:30.9592377Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:53:30.9593079Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:53:30.9593411Z 2022-12-01T10:53:30.9593508Z from user code: 2022-12-01T10:53:30.9593868Z File "/var/lib/jenkins/workspace/test/test_tensorexpr.py", line 32, in warmup_and_run_forward 2022-12-01T10:53:30.9594260Z for _ in range(torch._C._jit_get_num_profiled_runs() + 1): 2022-12-01T10:53:30.9594461Z 2022-12-01T10:53:30.9594641Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:53:30.9594933Z ========== 2022-12-01T10:53:30.9595337Z Exception ignored in: .extract_files.. at 0x7f19b1a32650> 2022-12-01T10:53:30.9595743Z Traceback (most recent call last): 2022-12-01T10:53:30.9596269Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 210, in 2022-12-01T10:53:30.9596702Z debug_files = (pickle.load(f) for f in debug_files_stream) 2022-12-01T10:53:30.9597041Z SystemError: error return without exception set 2022-12-01T10:53:30.9597508Z Exception ignored in: .extract_files.. at 0x7f19b1a325d0> 2022-12-01T10:53:30.9597924Z Traceback (most recent call last): 2022-12-01T10:53:30.9598451Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 209, in 2022-12-01T10:53:30.9598873Z debug_files_stream = (archive.open(f) for f in debug_files_str) 2022-12-01T10:53:30.9599229Z SystemError: error return without exception set 2022-12-01T10:53:30.9599505Z ok (4.610s) 2022-12-01T10:53:30.9599792Z test_single_conv (__main__.TestMkldnnFusion) ... ok (1.258s) 2022-12-01T10:53:30.9600161Z test_unsupported_conv (__main__.TestMkldnnFusion) ... ok (8.116s) 2022-12-01T10:53:30.9600376Z 2022-12-01T10:53:30.9600651Z ---------------------------------------------------------------------- 2022-12-01T10:53:30.9600970Z Ran 3 tests in 14.043s 2022-12-01T10:53:30.9601266Z 2022-12-01T10:53:30.9601354Z OK 2022-12-01T10:53:30.9601484Z 2022-12-01T10:53:30.9601601Z Generating XML reports... 2022-12-01T10:53:30.9602184Z Generated XML report: test-reports/python-unittest/test_mkldnn_fusion/TEST-TestMkldnnFusion-20221201105316.xml 2022-12-01T10:53:30.9602507Z 2022-12-01T10:53:30.9602878Z ##[endgroup] 2022-12-01T10:53:30.9603417Z FINISHED PRINTING LOG FILE of test_mkldnn_fusion (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_fusion_42bckb2_) 2022-12-01T10:53:30.9603715Z 2022-12-01T10:53:30.9603962Z Running test_tensorexpr ... [2022-12-01 10:53:30.958416] 2022-12-01T10:53:30.9604659Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:53:30.958827] 2022-12-01T10:54:22.0387747Z 2022-12-01T10:54:22.0388263Z Expand the folded group to see the log file of test_tensorexpr 2022-12-01T10:54:22.0389406Z ##[group]PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_px9bs4sv) 2022-12-01T10:54:22.0390311Z Test results will be stored in test-reports/python-unittest/test_tensorexpr 2022-12-01T10:54:22.0428851Z 2022-12-01T10:54:22.0429131Z Running tests... 2022-12-01T10:54:22.0429838Z ---------------------------------------------------------------------- 2022-12-01T10:54:22.0430740Z test_add_const_rhs (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 19 2022-12-01T10:54:22.0431264Z due to: 2022-12-01T10:54:22.0431583Z Traceback (most recent call last): 2022-12-01T10:54:22.0432043Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0432762Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0433617Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:54:22.0433890Z 2022-12-01T10:54:22.0433963Z from user code: 2022-12-01T10:54:22.0434182Z File "test_tensorexpr.py", line 20, in 2022-12-01T10:54:22.0434542Z self.devices = ['cpu'] if not torch.cuda.is_available() else ['cpu', 'cuda'] 2022-12-01T10:54:22.0434715Z 2022-12-01T10:54:22.0434850Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0435059Z ========== 2022-12-01T10:54:22.0435428Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 581 2022-12-01T10:54:22.0435702Z due to: 2022-12-01T10:54:22.0435874Z Traceback (most recent call last): 2022-12-01T10:54:22.0436158Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0436590Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0437116Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0437365Z 2022-12-01T10:54:22.0437421Z from user code: 2022-12-01T10:54:22.0437664Z File "test_tensorexpr.py", line 583, in 2022-12-01T10:54:22.0437926Z y = warmup_and_run_forward(traced, x) 2022-12-01T10:54:22.0438059Z 2022-12-01T10:54:22.0438178Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0438400Z ========== 2022-12-01T10:54:22.0438746Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT warmup_and_run_forward test_tensorexpr.py line 31 2022-12-01T10:54:22.0439009Z due to: 2022-12-01T10:54:22.0439180Z Traceback (most recent call last): 2022-12-01T10:54:22.0439463Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0439955Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0440461Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0440911Z 2022-12-01T10:54:22.0440984Z from user code: 2022-12-01T10:54:22.0441213Z File "test_tensorexpr.py", line 32, in warmup_and_run_forward 2022-12-01T10:54:22.0441485Z for _ in range(torch._C._jit_get_num_profiled_runs() + 1): 2022-12-01T10:54:22.0441621Z 2022-12-01T10:54:22.0441756Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0441977Z ========== 2022-12-01T10:54:22.0442342Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assertLastGraphAllFused test_tensorexpr.py line 27 2022-12-01T10:54:22.0442604Z due to: 2022-12-01T10:54:22.0442844Z Traceback (most recent call last): 2022-12-01T10:54:22.0443131Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0443551Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0444093Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:54:22.0444347Z 2022-12-01T10:54:22.0444419Z from user code: 2022-12-01T10:54:22.0444662Z File "test_tensorexpr.py", line 28, in assertLastGraphAllFused 2022-12-01T10:54:22.0444954Z self.assertAllFused(torch.jit.last_executed_optimized_graph()) 2022-12-01T10:54:22.0445126Z 2022-12-01T10:54:22.0445260Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0445478Z ========== 2022-12-01T10:54:22.0445624Z ok (4.031s) 2022-12-01T10:54:22.0446070Z test_add_sub (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 310 2022-12-01T10:54:22.0446382Z due to: 2022-12-01T10:54:22.0446567Z Traceback (most recent call last): 2022-12-01T10:54:22.0446833Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0447504Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0448030Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0448270Z 2022-12-01T10:54:22.0448327Z from user code: 2022-12-01T10:54:22.0448563Z File "test_tensorexpr.py", line 316, in 2022-12-01T10:54:22.0448830Z x = warmup_and_run_forward(traced, a, b, c) 2022-12-01T10:54:22.0448975Z 2022-12-01T10:54:22.0449110Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0449319Z ========== 2022-12-01T10:54:22.0449482Z ok (0.048s) 2022-12-01T10:54:22.0449866Z test_alias_analysis_input_and_module (__main__.TestTensorExprFuser) ... Exception ignored in: .extract_files.. at 0x7fc7bf3f6950> 2022-12-01T10:54:22.0450243Z Traceback (most recent call last): 2022-12-01T10:54:22.0450630Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 210, in 2022-12-01T10:54:22.0450955Z debug_files = (pickle.load(f) for f in debug_files_stream) 2022-12-01T10:54:22.0451436Z SystemError: error return without exception set 2022-12-01T10:54:22.0451777Z Exception ignored in: .extract_files.. at 0x7fc7bf3f68d0> 2022-12-01T10:54:22.0452095Z Traceback (most recent call last): 2022-12-01T10:54:22.0452479Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 209, in 2022-12-01T10:54:22.0452789Z debug_files_stream = (archive.open(f) for f in debug_files_str) 2022-12-01T10:54:22.0453065Z SystemError: error return without exception set 2022-12-01T10:54:22.0453324Z ok (0.058s) 2022-12-01T10:54:22.0453564Z test_alias_analysis_inputs (__main__.TestTensorExprFuser) ... ok (0.021s) 2022-12-01T10:54:22.0453936Z test_alias_analysis_module (__main__.TestTensorExprFuser) ... ok (0.140s) 2022-12-01T10:54:22.0454463Z test_all_combos (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 170 2022-12-01T10:54:22.0454782Z due to: 2022-12-01T10:54:22.0454956Z Traceback (most recent call last): 2022-12-01T10:54:22.0455238Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0455669Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0456242Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0456474Z 2022-12-01T10:54:22.0456546Z from user code: 2022-12-01T10:54:22.0456783Z File "test_tensorexpr.py", line 176, in 2022-12-01T10:54:22.0457051Z x = warmup_and_run_forward(traced, a, b, c) 2022-12-01T10:54:22.0457186Z 2022-12-01T10:54:22.0457304Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0457523Z ========== 2022-12-01T10:54:22.0457682Z ok (0.052s) 2022-12-01T10:54:22.0457889Z test_alpha (__main__.TestTensorExprFuser) ... ok (0.045s) 2022-12-01T10:54:22.0458167Z test_binary_ops (__main__.TestTensorExprFuser) ... ok (1.513s) 2022-12-01T10:54:22.0458452Z test_bitwise_ops (__main__.TestTensorExprFuser) ... ok (0.205s) 2022-12-01T10:54:22.0458960Z test_broadcast (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 221 2022-12-01T10:54:22.0459270Z due to: 2022-12-01T10:54:22.0459455Z Traceback (most recent call last): 2022-12-01T10:54:22.0459735Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0460153Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0460678Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0460918Z 2022-12-01T10:54:22.0460990Z from user code: 2022-12-01T10:54:22.0461230Z File "test_tensorexpr.py", line 226, in 2022-12-01T10:54:22.0461483Z x = warmup_and_run_forward(traced, a, b, c) 2022-12-01T10:54:22.0461620Z 2022-12-01T10:54:22.0461753Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0461973Z ========== 2022-12-01T10:54:22.0462120Z ok (0.052s) 2022-12-01T10:54:22.0462559Z test_broadcast3 (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 138 2022-12-01T10:54:22.0462874Z due to: 2022-12-01T10:54:22.0463046Z Traceback (most recent call last): 2022-12-01T10:54:22.0463330Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0463758Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0464272Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0464518Z 2022-12-01T10:54:22.0464577Z from user code: 2022-12-01T10:54:22.0464812Z File "test_tensorexpr.py", line 145, in 2022-12-01T10:54:22.0465074Z x = warmup_and_run_forward(traced, a, b, c) 2022-12-01T10:54:22.0465212Z 2022-12-01T10:54:22.0465332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0465553Z ========== 2022-12-01T10:54:22.0465717Z ok (0.170s) 2022-12-01T10:54:22.0466172Z test_broadcast_2 (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 247 2022-12-01T10:54:22.0466526Z due to: 2022-12-01T10:54:22.0466714Z Traceback (most recent call last): 2022-12-01T10:54:22.0466995Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0467419Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0467943Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0468181Z 2022-12-01T10:54:22.0468254Z from user code: 2022-12-01T10:54:22.0468530Z File "test_tensorexpr.py", line 249, in 2022-12-01T10:54:22.0468787Z r = warmup_and_run_forward(traced, x, y, z) 2022-12-01T10:54:22.0468923Z 2022-12-01T10:54:22.0469056Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0469275Z ========== 2022-12-01T10:54:22.0469422Z ok (0.049s) 2022-12-01T10:54:22.0469888Z test_broadcast_big2 (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 271 2022-12-01T10:54:22.0470214Z due to: 2022-12-01T10:54:22.0470386Z Traceback (most recent call last): 2022-12-01T10:54:22.0470667Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0471097Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0471621Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0471861Z 2022-12-01T10:54:22.0471920Z from user code: 2022-12-01T10:54:22.0472166Z File "test_tensorexpr.py", line 273, in 2022-12-01T10:54:22.0472436Z r = warmup_and_run_forward(traced, x, y, z) 2022-12-01T10:54:22.0472569Z 2022-12-01T10:54:22.0472705Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0472913Z ========== 2022-12-01T10:54:22.0473069Z ok (0.061s) 2022-12-01T10:54:22.0473292Z test_cat (__main__.TestTensorExprFuser) ... ok (3.379s) 2022-12-01T10:54:22.0473562Z test_cat_empty_tensors (__main__.TestTensorExprFuser) ... ok (0.138s) 2022-12-01T10:54:22.0473859Z test_cat_negative_dim (__main__.TestTensorExprFuser) ... ok (0.084s) 2022-12-01T10:54:22.0474224Z test_cat_only (__main__.TestTensorExprFuser) ... skip: cat is broken with fusion group inlining disabled (0.002s) 2022-12-01T10:54:22.0474555Z test_cat_promote_inputs (__main__.TestTensorExprFuser) ... ok (0.146s) 2022-12-01T10:54:22.0474858Z test_cat_with_constant_dim (__main__.TestTensorExprFuser) ... ok (0.057s) 2022-12-01T10:54:22.0475360Z test_char (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 386 2022-12-01T10:54:22.0475671Z due to: 2022-12-01T10:54:22.0475846Z Traceback (most recent call last): 2022-12-01T10:54:22.0476130Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0476564Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0477075Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0477313Z 2022-12-01T10:54:22.0477385Z from user code: 2022-12-01T10:54:22.0477619Z File "test_tensorexpr.py", line 391, in 2022-12-01T10:54:22.0477878Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0478001Z 2022-12-01T10:54:22.0478136Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0478360Z ========== 2022-12-01T10:54:22.0478522Z ok (0.040s) 2022-12-01T10:54:22.0478727Z test_chunk (__main__.TestTensorExprFuser) ... ok (0.202s) 2022-12-01T10:54:22.0479036Z test_clamp (__main__.TestTensorExprFuser) ... ok (0.042s) 2022-12-01T10:54:22.0479596Z test_constant (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 296 2022-12-01T10:54:22.0479899Z due to: 2022-12-01T10:54:22.0480082Z Traceback (most recent call last): 2022-12-01T10:54:22.0480363Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0480918Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0481492Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0481736Z 2022-12-01T10:54:22.0481807Z from user code: 2022-12-01T10:54:22.0482048Z File "test_tensorexpr.py", line 299, in 2022-12-01T10:54:22.0482296Z x = warmup_and_run_forward(traced, a) 2022-12-01T10:54:22.0482433Z 2022-12-01T10:54:22.0482567Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0482788Z ========== 2022-12-01T10:54:22.0482935Z ok (0.566s) 2022-12-01T10:54:22.0483380Z test_double (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 346 2022-12-01T10:54:22.0483697Z due to: 2022-12-01T10:54:22.0483880Z Traceback (most recent call last): 2022-12-01T10:54:22.0484151Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0484590Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0485116Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0485362Z 2022-12-01T10:54:22.0485432Z from user code: 2022-12-01T10:54:22.0485659Z File "test_tensorexpr.py", line 351, in 2022-12-01T10:54:22.0485922Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0486058Z 2022-12-01T10:54:22.0486191Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0486401Z ========== 2022-12-01T10:54:22.0486563Z ok (0.042s) 2022-12-01T10:54:22.0486796Z test_double_intrinsics (__main__.TestTensorExprFuser) ... ok (0.037s) 2022-12-01T10:54:22.0487325Z test_dynamic_shape (__main__.TestTensorExprFuser) ... skip: dynamic shapes are not quite there yet (0.002s) 2022-12-01T10:54:22.0487872Z test_easy (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 43 2022-12-01T10:54:22.0488179Z due to: 2022-12-01T10:54:22.0488367Z Traceback (most recent call last): 2022-12-01T10:54:22.0488638Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0489080Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0489603Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0489844Z 2022-12-01T10:54:22.0489901Z from user code: 2022-12-01T10:54:22.0490137Z File "test_tensorexpr.py", line 47, in 2022-12-01T10:54:22.0490397Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0490531Z 2022-12-01T10:54:22.0490664Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0490869Z ========== 2022-12-01T10:54:22.0491029Z ok (0.047s) 2022-12-01T10:54:22.0491460Z test_eq (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 420 2022-12-01T10:54:22.0491752Z due to: 2022-12-01T10:54:22.0491935Z Traceback (most recent call last): 2022-12-01T10:54:22.0492283Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0492705Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0493227Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0493467Z 2022-12-01T10:54:22.0493539Z from user code: 2022-12-01T10:54:22.0493770Z File "test_tensorexpr.py", line 423, in 2022-12-01T10:54:22.0494017Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0494153Z 2022-12-01T10:54:22.0494324Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0494544Z ========== 2022-12-01T10:54:22.0494693Z ok (0.073s) 2022-12-01T10:54:22.0494915Z test_exp_pow (__main__.TestTensorExprFuser) ... ok (0.069s) 2022-12-01T10:54:22.0495188Z test_four_arg (__main__.TestTensorExprFuser) ... ok (0.056s) 2022-12-01T10:54:22.0495654Z test_ge (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 447 2022-12-01T10:54:22.0495951Z due to: 2022-12-01T10:54:22.0496135Z Traceback (most recent call last): 2022-12-01T10:54:22.0496416Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0496833Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0497349Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0497591Z 2022-12-01T10:54:22.0497663Z from user code: 2022-12-01T10:54:22.0497893Z File "test_tensorexpr.py", line 449, in 2022-12-01T10:54:22.0498137Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0498271Z 2022-12-01T10:54:22.0498409Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0498628Z ========== 2022-12-01T10:54:22.0498775Z ok (0.087s) 2022-12-01T10:54:22.0499204Z test_gt (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 458 2022-12-01T10:54:22.0499506Z due to: 2022-12-01T10:54:22.0499678Z Traceback (most recent call last): 2022-12-01T10:54:22.0499958Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0500389Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0500910Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0501136Z 2022-12-01T10:54:22.0501206Z from user code: 2022-12-01T10:54:22.0501435Z File "test_tensorexpr.py", line 461, in 2022-12-01T10:54:22.0501694Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0501829Z 2022-12-01T10:54:22.0501949Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0502169Z ========== 2022-12-01T10:54:22.0502328Z ok (0.074s) 2022-12-01T10:54:22.0502560Z test_guard_fails (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:54:22.0503072Z test_half_bn_relu (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_half_bn_relu test_tensorexpr.py line 1298 2022-12-01T10:54:22.0503379Z due to: 2022-12-01T10:54:22.0503566Z Traceback (most recent call last): 2022-12-01T10:54:22.0503834Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0504267Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0504725Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:54:22.0504971Z 2022-12-01T10:54:22.0505031Z from user code: 2022-12-01T10:54:22.0505260Z File "test_tensorexpr.py", line 1299, in test_half_bn_relu 2022-12-01T10:54:22.0505525Z devices = ["cuda"] if torch.cuda.is_available() else [] 2022-12-01T10:54:22.0505672Z 2022-12-01T10:54:22.0505810Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0506021Z ========== 2022-12-01T10:54:22.0506181Z ok (0.003s) 2022-12-01T10:54:22.0506608Z test_half_gelu (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_half_gelu test_tensorexpr.py line 1283 2022-12-01T10:54:22.0506898Z due to: 2022-12-01T10:54:22.0507116Z Traceback (most recent call last): 2022-12-01T10:54:22.0507400Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0507815Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0508276Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:54:22.0508478Z 2022-12-01T10:54:22.0508551Z from user code: 2022-12-01T10:54:22.0508775Z File "test_tensorexpr.py", line 1284, in test_half_gelu 2022-12-01T10:54:22.0509021Z devices = ["cuda"] if torch.cuda.is_available() else [] 2022-12-01T10:54:22.0509168Z 2022-12-01T10:54:22.0509303Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0509523Z ========== 2022-12-01T10:54:22.0509672Z ok (0.005s) 2022-12-01T10:54:22.0510136Z test_int64_promotion (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 406 2022-12-01T10:54:22.0510461Z due to: 2022-12-01T10:54:22.0510643Z Traceback (most recent call last): 2022-12-01T10:54:22.0510909Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0511339Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0511855Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0512094Z 2022-12-01T10:54:22.0512150Z from user code: 2022-12-01T10:54:22.0512393Z File "test_tensorexpr.py", line 411, in 2022-12-01T10:54:22.0512688Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0512823Z 2022-12-01T10:54:22.0512956Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0513165Z ========== 2022-12-01T10:54:22.0513328Z ok (0.039s) 2022-12-01T10:54:22.0513779Z test_int_output (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 594 2022-12-01T10:54:22.0514082Z due to: 2022-12-01T10:54:22.0514267Z Traceback (most recent call last): 2022-12-01T10:54:22.0514549Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0514965Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0515479Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0515714Z 2022-12-01T10:54:22.0515785Z from user code: 2022-12-01T10:54:22.0516032Z File "test_tensorexpr.py", line 595, in 2022-12-01T10:54:22.0516291Z res = warmup_and_run_forward(traced, x, y, z) 2022-12-01T10:54:22.0516429Z 2022-12-01T10:54:22.0516562Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0516782Z ========== 2022-12-01T10:54:22.0516928Z ok (0.055s) 2022-12-01T10:54:22.0517354Z test_le (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 473 2022-12-01T10:54:22.0517693Z due to: 2022-12-01T10:54:22.0517862Z Traceback (most recent call last): 2022-12-01T10:54:22.0518140Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0518570Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0519087Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0519330Z 2022-12-01T10:54:22.0519388Z from user code: 2022-12-01T10:54:22.0519652Z File "test_tensorexpr.py", line 475, in 2022-12-01T10:54:22.0519911Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0520046Z 2022-12-01T10:54:22.0520177Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0520385Z ========== 2022-12-01T10:54:22.0520544Z ok (0.088s) 2022-12-01T10:54:22.0520765Z test_loop (__main__.TestTensorExprFuser) ... ok (0.091s) 2022-12-01T10:54:22.0521018Z test_lt (__main__.TestTensorExprFuser) ... ok (0.069s) 2022-12-01T10:54:22.0521278Z test_mask (__main__.TestTensorExprFuser) ... ok (0.043s) 2022-12-01T10:54:22.0521765Z test_min_max (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 497 2022-12-01T10:54:22.0522061Z due to: 2022-12-01T10:54:22.0522247Z Traceback (most recent call last): 2022-12-01T10:54:22.0522529Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0522949Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0523476Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0523718Z 2022-12-01T10:54:22.0523791Z from user code: 2022-12-01T10:54:22.0524028Z File "test_tensorexpr.py", line 501, in 2022-12-01T10:54:22.0524332Z warmup_and_run_forward(traced, a, b), np.maximum(np.minimum(a.numpy(), b.numpy()), [4.0]) 2022-12-01T10:54:22.0524511Z 2022-12-01T10:54:22.0524645Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0524864Z ========== 2022-12-01T10:54:22.0525023Z ok (0.051s) 2022-12-01T10:54:22.0525484Z test_min_max_reduction (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 509 2022-12-01T10:54:22.0525815Z due to: 2022-12-01T10:54:22.0526002Z Traceback (most recent call last): 2022-12-01T10:54:22.0526265Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0526695Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0527455Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0527697Z 2022-12-01T10:54:22.0527772Z from user code: 2022-12-01T10:54:22.0528007Z File "test_tensorexpr.py", line 511, in 2022-12-01T10:54:22.0528354Z np.testing.assert_allclose(warmup_and_run_forward(traced, a), np.amin(a.numpy()) + np.amax(a.numpy())) 2022-12-01T10:54:22.0528556Z 2022-12-01T10:54:22.0528692Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0528898Z ========== 2022-12-01T10:54:22.0529057Z ok (0.035s) 2022-12-01T10:54:22.0529536Z test_min_max_reduction2 (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 518 2022-12-01T10:54:22.0529866Z due to: 2022-12-01T10:54:22.0530036Z Traceback (most recent call last): 2022-12-01T10:54:22.0530415Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0530851Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0531432Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0531677Z 2022-12-01T10:54:22.0531750Z from user code: 2022-12-01T10:54:22.0532050Z File "test_tensorexpr.py", line 520, in 2022-12-01T10:54:22.0532399Z np.testing.assert_allclose(warmup_and_run_forward(traced, a), np.amin(a.numpy()) + np.amax(a.numpy())) 2022-12-01T10:54:22.0532631Z 2022-12-01T10:54:22.0532767Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0532989Z ========== 2022-12-01T10:54:22.0533150Z ok (0.034s) 2022-12-01T10:54:22.0533625Z test_min_max_reduction_dim1 (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 527 2022-12-01T10:54:22.0533966Z due to: 2022-12-01T10:54:22.0534149Z Traceback (most recent call last): 2022-12-01T10:54:22.0534412Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0534842Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0535363Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0535607Z 2022-12-01T10:54:22.0535678Z from user code: 2022-12-01T10:54:22.0535919Z File "test_tensorexpr.py", line 529, in 2022-12-01T10:54:22.0536232Z np.testing.assert_allclose(warmup_and_run_forward(traced, a), np.amin( 2022-12-01T10:54:22.0536407Z 2022-12-01T10:54:22.0536540Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0536761Z ========== 2022-12-01T10:54:22.0536907Z ok (0.037s) 2022-12-01T10:54:22.0537396Z test_min_max_reduction_dim1_2 (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 537 2022-12-01T10:54:22.0537728Z due to: 2022-12-01T10:54:22.0537900Z Traceback (most recent call last): 2022-12-01T10:54:22.0538179Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0538608Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0539116Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0539356Z 2022-12-01T10:54:22.0539428Z from user code: 2022-12-01T10:54:22.0539683Z File "test_tensorexpr.py", line 539, in 2022-12-01T10:54:22.0540027Z np.testing.assert_allclose(warmup_and_run_forward(traced, a)[0], np.amin((a * a).numpy(), axis=1)) 2022-12-01T10:54:22.0540217Z 2022-12-01T10:54:22.0540336Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0540554Z ========== 2022-12-01T10:54:22.0540713Z ok (0.049s) 2022-12-01T10:54:22.0540923Z test_multi_rand (__main__.TestTensorExprFuser) ... ok (0.067s) 2022-12-01T10:54:22.0541440Z test_multioutput (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 1028 2022-12-01T10:54:22.0541762Z due to: 2022-12-01T10:54:22.0541948Z Traceback (most recent call last): 2022-12-01T10:54:22.0542218Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0542646Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0543201Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0543441Z 2022-12-01T10:54:22.0543498Z from user code: 2022-12-01T10:54:22.0543742Z File "test_tensorexpr.py", line 1031, in 2022-12-01T10:54:22.0544008Z b, c = warmup_and_run_forward(traced, a) 2022-12-01T10:54:22.0544143Z 2022-12-01T10:54:22.0544276Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0544480Z ========== 2022-12-01T10:54:22.0544638Z ok (0.044s) 2022-12-01T10:54:22.0544872Z test_multiple_outputs (__main__.TestTensorExprFuser) ... ok (0.210s) 2022-12-01T10:54:22.0545386Z test_nans (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 959 2022-12-01T10:54:22.0545693Z due to: 2022-12-01T10:54:22.0545879Z Traceback (most recent call last): 2022-12-01T10:54:22.0546147Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0546575Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0547095Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0547337Z 2022-12-01T10:54:22.0547409Z from user code: 2022-12-01T10:54:22.0547628Z File "test_tensorexpr.py", line 965, in 2022-12-01T10:54:22.0547918Z assert np.isnan(warmup_and_run_forward(tmin, x, y).float().item()) 2022-12-01T10:54:22.0548078Z 2022-12-01T10:54:22.0548212Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0548436Z ========== 2022-12-01T10:54:22.0548583Z ok (0.128s) 2022-12-01T10:54:22.0549003Z test_ne (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 432 2022-12-01T10:54:22.0549305Z due to: 2022-12-01T10:54:22.0549475Z Traceback (most recent call last): 2022-12-01T10:54:22.0549752Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0550179Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0550682Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0550925Z 2022-12-01T10:54:22.0550994Z from user code: 2022-12-01T10:54:22.0551223Z File "test_tensorexpr.py", line 435, in 2022-12-01T10:54:22.0551480Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0551602Z 2022-12-01T10:54:22.0551733Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0551951Z ========== 2022-12-01T10:54:22.0552111Z ok (0.078s) 2022-12-01T10:54:22.0552549Z test_promotion (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 327 2022-12-01T10:54:22.0552866Z due to: 2022-12-01T10:54:22.0563241Z Traceback (most recent call last): 2022-12-01T10:54:22.0563559Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0564046Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0564582Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0564826Z 2022-12-01T10:54:22.0564892Z from user code: 2022-12-01T10:54:22.0565128Z File "test_tensorexpr.py", line 332, in 2022-12-01T10:54:22.0565389Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0565526Z 2022-12-01T10:54:22.0565659Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0565972Z ========== 2022-12-01T10:54:22.0566130Z ok (0.046s) 2022-12-01T10:54:22.0566623Z test_propagated_mem_layout (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 1678 2022-12-01T10:54:22.0567140Z due to: 2022-12-01T10:54:22.0567343Z Traceback (most recent call last): 2022-12-01T10:54:22.0567624Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0568044Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0568555Z AssertionError: torch.* op returned non-Tensor str call_function 2022-12-01T10:54:22.0568754Z 2022-12-01T10:54:22.0568825Z from user code: 2022-12-01T10:54:22.0569079Z File "test_tensorexpr.py", line 1680, in 2022-12-01T10:54:22.0569371Z old_strategy = torch.jit.set_fusion_strategy([(strategy, 10)]) 2022-12-01T10:54:22.0569533Z 2022-12-01T10:54:22.0569666Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0569885Z ========== 2022-12-01T10:54:22.0570031Z ok (30.649s) 2022-12-01T10:54:22.0570258Z test_rand_like (__main__.TestTensorExprFuser) ... ok (0.085s) 2022-12-01T10:54:22.0570762Z test_rank_two (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 198 2022-12-01T10:54:22.0571073Z due to: 2022-12-01T10:54:22.0571244Z Traceback (most recent call last): 2022-12-01T10:54:22.0571525Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0571955Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0572461Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0572703Z 2022-12-01T10:54:22.0572776Z from user code: 2022-12-01T10:54:22.0573007Z File "test_tensorexpr.py", line 204, in 2022-12-01T10:54:22.0573265Z x = warmup_and_run_forward(traced, a, b, c) 2022-12-01T10:54:22.0573389Z 2022-12-01T10:54:22.0573519Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0573735Z ========== 2022-12-01T10:54:22.0573892Z ok (0.058s) 2022-12-01T10:54:22.0574095Z test_relu (__main__.TestTensorExprFuser) ... ok (0.041s) 2022-12-01T10:54:22.0574365Z test_remainder (__main__.TestTensorExprFuser) ... ok (0.295s) 2022-12-01T10:54:22.0574849Z test_reps (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 569 2022-12-01T10:54:22.0575141Z due to: 2022-12-01T10:54:22.0575320Z Traceback (most recent call last): 2022-12-01T10:54:22.0575595Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0576013Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0576529Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0576768Z 2022-12-01T10:54:22.0576838Z from user code: 2022-12-01T10:54:22.0577065Z File "test_tensorexpr.py", line 574, in 2022-12-01T10:54:22.0577310Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0577447Z 2022-12-01T10:54:22.0577580Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0577797Z ========== 2022-12-01T10:54:22.0577941Z ok (0.053s) 2022-12-01T10:54:22.0578154Z test_scalar (__main__.TestTensorExprFuser) ... ok (0.188s) 2022-12-01T10:54:22.0578631Z test_short (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 366 2022-12-01T10:54:22.0578988Z due to: 2022-12-01T10:54:22.0579157Z Traceback (most recent call last): 2022-12-01T10:54:22.0579433Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0579858Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0580359Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0580602Z 2022-12-01T10:54:22.0580672Z from user code: 2022-12-01T10:54:22.0580939Z File "test_tensorexpr.py", line 371, in 2022-12-01T10:54:22.0581200Z x = warmup_and_run_forward(traced, a, b) 2022-12-01T10:54:22.0581322Z 2022-12-01T10:54:22.0581454Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0581673Z ========== 2022-12-01T10:54:22.0581832Z ok (0.040s) 2022-12-01T10:54:22.0582244Z test_simple_add (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_simple_add test_tensorexpr.py line 1469 2022-12-01T10:54:22.0582548Z due to: 2022-12-01T10:54:22.0582728Z Traceback (most recent call last): 2022-12-01T10:54:22.0582991Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0583418Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0583943Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:54:22.0584189Z 2022-12-01T10:54:22.0584258Z from user code: 2022-12-01T10:54:22.0584465Z File "test_tensorexpr.py", line 1470, in test_simple_add 2022-12-01T10:54:22.0584719Z val = torch._C._jit_get_te_generate_block_code() 2022-12-01T10:54:22.0584859Z 2022-12-01T10:54:22.0584993Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0585196Z ========== 2022-12-01T10:54:22.0585351Z ok (0.013s) 2022-12-01T10:54:22.0585565Z test_slice (__main__.TestTensorExprFuser) ... ok (0.084s) 2022-12-01T10:54:22.0585838Z test_sliced_stride (__main__.TestTensorExprFuser) ... ok (0.138s) 2022-12-01T10:54:22.0586303Z test_softmax_cpu (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_softmax test_tensorexpr.py line 1241 2022-12-01T10:54:22.0586601Z due to: 2022-12-01T10:54:22.0586782Z Traceback (most recent call last): 2022-12-01T10:54:22.0587045Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0587472Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0588003Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:54:22.0588251Z 2022-12-01T10:54:22.0588319Z from user code: 2022-12-01T10:54:22.0588522Z File "test_tensorexpr.py", line 1265, in _test_softmax 2022-12-01T10:54:22.0588778Z old = torch._C._jit_set_texpr_reductions_enabled(True) 2022-12-01T10:54:22.0588925Z 2022-12-01T10:54:22.0589055Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0589259Z ========== 2022-12-01T10:54:22.0589418Z ok (0.712s) 2022-12-01T10:54:22.0589664Z test_softmax_cuda (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.000s) 2022-12-01T10:54:22.0590234Z test_strided_output_preserved (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 1506 2022-12-01T10:54:22.0590583Z due to: 2022-12-01T10:54:22.0590762Z Traceback (most recent call last): 2022-12-01T10:54:22.0591038Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0591486Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0592011Z AssertionError: torch.* op returned non-Tensor Graph call_function 2022-12-01T10:54:22.0592258Z 2022-12-01T10:54:22.0592326Z from user code: 2022-12-01T10:54:22.0592565Z File "test_tensorexpr.py", line 1507, in 2022-12-01T10:54:22.0592850Z self.assertLastGraphAllFused() 2022-12-01T10:54:22.0592990Z 2022-12-01T10:54:22.0593121Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0593366Z ========== 2022-12-01T10:54:22.0593513Z ok (0.178s) 2022-12-01T10:54:22.0593953Z test_three_arg (__main__.TestTensorExprFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorexpr.py line 58 2022-12-01T10:54:22.0594261Z due to: 2022-12-01T10:54:22.0594434Z Traceback (most recent call last): 2022-12-01T10:54:22.0594709Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:54:22.0595132Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:54:22.0595650Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:54:22.0595876Z 2022-12-01T10:54:22.0595945Z from user code: 2022-12-01T10:54:22.0596184Z File "test_tensorexpr.py", line 64, in 2022-12-01T10:54:22.0596448Z x = warmup_and_run_forward(traced, a, b, c) 2022-12-01T10:54:22.0596587Z 2022-12-01T10:54:22.0596703Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:54:22.0596921Z ========== 2022-12-01T10:54:22.0597078Z ok (0.049s) 2022-12-01T10:54:22.0597287Z test_three_arg2 (__main__.TestTensorExprFuser) ... ok (0.046s) 2022-12-01T10:54:22.0597564Z test_transpose (__main__.TestTensorExprFuser) ... ok (0.190s) 2022-12-01T10:54:22.0597837Z test_unary_ops (__main__.TestTensorExprFuser) ... ok (3.325s) 2022-12-01T10:54:22.0598108Z test_unsqueeze (__main__.TestTensorExprFuser) ... ok (0.080s) 2022-12-01T10:54:22.0598365Z test_where (__main__.TestTensorExprFuser) ... ok (0.177s) 2022-12-01T10:54:22.0598512Z 2022-12-01T10:54:22.0598712Z ---------------------------------------------------------------------- 2022-12-01T10:54:22.0598954Z Ran 72 tests in 49.263s 2022-12-01T10:54:22.0599066Z 2022-12-01T10:54:22.0599124Z OK (skipped=4) 2022-12-01T10:54:22.0599228Z 2022-12-01T10:54:22.0599310Z Generating XML reports... 2022-12-01T10:54:22.0599731Z Generated XML report: test-reports/python-unittest/test_tensorexpr/TEST-TestTensorExprFuser-20221201105332.xml 2022-12-01T10:54:22.0599972Z 2022-12-01T10:54:22.0600398Z ##[endgroup] 2022-12-01T10:54:22.0600772Z FINISHED PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_px9bs4sv) 2022-12-01T10:54:22.0600994Z 2022-12-01T10:54:22.0601151Z Running test_sparse ... [2022-12-01 10:54:22.039488] 2022-12-01T10:54:22.0601607Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:54:22.039811] 2022-12-01T10:55:03.0753854Z 2022-12-01T10:55:03.0754271Z Expand the folded group to see the log file of test_sparse 2022-12-01T10:55:03.0755176Z ##[group]PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_er7zr84d) 2022-12-01T10:55:03.0757849Z Test results will be stored in test-reports/python-unittest/test_sparse 2022-12-01T10:55:03.0758216Z 2022-12-01T10:55:03.0758390Z Running tests... 2022-12-01T10:55:03.0758940Z ---------------------------------------------------------------------- 2022-12-01T10:55:03.0760272Z test_Sparse_to_Sparse_copy__cpu_bfloat16 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT setUp test_sparse.py line 76 2022-12-01T10:55:03.0761012Z due to: 2022-12-01T10:55:03.0761201Z Traceback (most recent call last): 2022-12-01T10:55:03.0761635Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:55:03.0762039Z return super().call_method(tx, args, kwargs) 2022-12-01T10:55:03.0762534Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:55:03.0762867Z 2022-12-01T10:55:03.0762986Z from user code: 2022-12-01T10:55:03.0767611Z File "test_sparse.py", line 77, in setUp 2022-12-01T10:55:03.0768018Z TestCase.setUp(self) 2022-12-01T10:55:03.0768223Z 2022-12-01T10:55:03.0768684Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0769091Z ========== 2022-12-01T10:55:03.0769771Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assert_uncoalesced test_sparse.py line 102 2022-12-01T10:55:03.0770256Z due to: 2022-12-01T10:55:03.0770562Z Traceback (most recent call last): 2022-12-01T10:55:03.0771088Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.0771659Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.0772219Z AssertionError: torch.* op returned non-Tensor bool call_method is_coalesced 2022-12-01T10:55:03.0772395Z 2022-12-01T10:55:03.0772455Z from user code: 2022-12-01T10:55:03.0772673Z File "test_sparse.py", line 107, in assert_uncoalesced 2022-12-01T10:55:03.0772948Z assert not x.is_coalesced() 2022-12-01T10:55:03.0773070Z 2022-12-01T10:55:03.0773204Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0773407Z ========== 2022-12-01T10:55:03.0774739Z test_sparse.py:1: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0775734Z # Owner(s): ["module: sparse"] 2022-12-01T10:55:03.0777230Z test_sparse.py:746: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0778164Z self.assertEqual(expected_grad.to_dense(), x2.grad.to_dense()) 2022-12-01T10:55:03.0783770Z test_sparse.py:3: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0785069Z import torch 2022-12-01T10:55:03.0786518Z test_sparse.py:746: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0787499Z self.assertEqual(expected_grad.to_dense(), x2.grad.to_dense()) 2022-12-01T10:55:03.0787711Z ok (0.441s) 2022-12-01T10:55:03.0788300Z test_Sparse_to_Sparse_copy__cpu_complex128 (__main__.TestSparseCPU) ... :5: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:250.) 2022-12-01T10:55:03.0790057Z test_sparse.py:3: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0791078Z import torch 2022-12-01T10:55:03.0792646Z test_sparse.py:1: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0793794Z # Owner(s): ["module: sparse"] 2022-12-01T10:55:03.0795254Z test_sparse.py:1: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0796337Z # Owner(s): ["module: sparse"] 2022-12-01T10:55:03.0797720Z test_sparse.py:746: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0798986Z self.assertEqual(expected_grad.to_dense(), x2.grad.to_dense()) 2022-12-01T10:55:03.0800884Z test_sparse.py:3: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0801715Z import torch 2022-12-01T10:55:03.0803004Z test_sparse.py:746: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0803941Z self.assertEqual(expected_grad.to_dense(), x2.grad.to_dense()) 2022-12-01T10:55:03.0804218Z ok (0.191s) 2022-12-01T10:55:03.0805683Z test_Sparse_to_Sparse_copy__cpu_float64 (__main__.TestSparseCPU) ... test_sparse.py:3: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0806555Z import torch 2022-12-01T10:55:03.0808024Z test_sparse.py:1: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0808823Z # Owner(s): ["module: sparse"] 2022-12-01T10:55:03.0810090Z test_sparse.py:1: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0810863Z # Owner(s): ["module: sparse"] 2022-12-01T10:55:03.0812457Z test_sparse.py:746: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0813586Z self.assertEqual(expected_grad.to_dense(), x2.grad.to_dense()) 2022-12-01T10:55:03.0815305Z test_sparse.py:3: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0816243Z import torch 2022-12-01T10:55:03.0817591Z test_sparse.py:746: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-12-01T10:55:03.0818733Z self.assertEqual(expected_grad.to_dense(), x2.grad.to_dense()) 2022-12-01T10:55:03.0819116Z ok (0.200s) 2022-12-01T10:55:03.0819785Z test_Sparse_to_Sparse_copy_multi_gpu_cpu_complex128 (__main__.TestSparseCPU) ... skip: no multi-GPU (0.004s) 2022-12-01T10:55:03.0820631Z test_Sparse_to_Sparse_copy_multi_gpu_cpu_float64 (__main__.TestSparseCPU) ... skip: no multi-GPU (0.001s) 2022-12-01T10:55:03.0821208Z test_add_dense_sparse_mismatch_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape test_sparse.py line 1855 2022-12-01T10:55:03.0821526Z due to: 2022-12-01T10:55:03.0821776Z Traceback (most recent call last): 2022-12-01T10:55:03.0822049Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0822339Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0822889Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.0823181Z 2022-12-01T10:55:03.0823319Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0823472Z 2022-12-01T10:55:03.0823564Z Traceback (most recent call last): 2022-12-01T10:55:03.0823842Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0824112Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0824331Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0824471Z 2022-12-01T10:55:03.0824542Z from user code: 2022-12-01T10:55:03.0824749Z File "test_sparse.py", line 1859, in test_shape 2022-12-01T10:55:03.0824951Z torch.Size(sparse_size)) 2022-12-01T10:55:03.0825071Z 2022-12-01T10:55:03.0825201Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0825419Z ========== 2022-12-01T10:55:03.0825747Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT sparse_tensor_factory test_sparse.py line 86 2022-12-01T10:55:03.0825988Z due to: 2022-12-01T10:55:03.0826167Z Traceback (most recent call last): 2022-12-01T10:55:03.0826442Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0826712Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0827262Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.0827554Z 2022-12-01T10:55:03.0827749Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0827913Z 2022-12-01T10:55:03.0828003Z Traceback (most recent call last): 2022-12-01T10:55:03.0828266Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0828536Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0828771Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0828914Z 2022-12-01T10:55:03.0828972Z from user code: 2022-12-01T10:55:03.0829188Z File "test_sparse.py", line 87, in sparse_tensor_factory 2022-12-01T10:55:03.0829435Z return torch.sparse_coo_tensor(*args, **kwargs) 2022-12-01T10:55:03.0829575Z 2022-12-01T10:55:03.0829705Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0829910Z ========== 2022-12-01T10:55:03.0830063Z ok (0.031s) 2022-12-01T10:55:03.0830307Z test_add_dense_sparse_mismatch_cpu_float64 (__main__.TestSparseCPU) ... ok (0.010s) 2022-12-01T10:55:03.0830855Z test_add_noncontiguous_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1870 2022-12-01T10:55:03.0831188Z due to: 2022-12-01T10:55:03.0831369Z Traceback (most recent call last): 2022-12-01T10:55:03.0831688Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0831970Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0832515Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.0832802Z 2022-12-01T10:55:03.0832939Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0833102Z 2022-12-01T10:55:03.0833180Z Traceback (most recent call last): 2022-12-01T10:55:03.0833505Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0833775Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0833993Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0834134Z 2022-12-01T10:55:03.0834204Z from user code: 2022-12-01T10:55:03.0834448Z File "test_sparse.py", line 1872, in 2022-12-01T10:55:03.0834749Z x = self.sparse_tensor(indices, values, dtype=dtype, device=device) 2022-12-01T10:55:03.0834902Z 2022-12-01T10:55:03.0835033Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0835248Z ========== 2022-12-01T10:55:03.0835406Z ok (0.018s) 2022-12-01T10:55:03.0835630Z test_add_noncontiguous_cpu_float64 (__main__.TestSparseCPU) ... ok (0.005s) 2022-12-01T10:55:03.0836134Z test_add_sub_nnz_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_add_sub_nnz test_sparse.py line 940 2022-12-01T10:55:03.0836434Z due to: 2022-12-01T10:55:03.0836604Z Traceback (most recent call last): 2022-12-01T10:55:03.0836882Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.0837310Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.0837726Z AssertionError: torch.* op returned non-Tensor int call_method _nnz 2022-12-01T10:55:03.0837941Z 2022-12-01T10:55:03.0838000Z from user code: 2022-12-01T10:55:03.0838208Z File "test_sparse.py", line 946, in test_add_sub_nnz 2022-12-01T10:55:03.0838443Z self.assertLessEqual(x._nnz(), 10) 2022-12-01T10:55:03.0838574Z 2022-12-01T10:55:03.0838692Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0838908Z ========== 2022-12-01T10:55:03.0839063Z ok (0.021s) 2022-12-01T10:55:03.0839275Z test_add_sub_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s) 2022-12-01T10:55:03.0839565Z test_add_zeros_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.193s) 2022-12-01T10:55:03.0839851Z test_add_zeros_cpu_float64 (__main__.TestSparseCPU) ... ok (0.008s) 2022-12-01T10:55:03.0840303Z test_any_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_any test_sparse.py line 3057 2022-12-01T10:55:03.0840567Z due to: 2022-12-01T10:55:03.0840751Z Traceback (most recent call last): 2022-12-01T10:55:03.0841085Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0841357Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0841904Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.0842198Z 2022-12-01T10:55:03.0842332Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0842496Z 2022-12-01T10:55:03.0842584Z Traceback (most recent call last): 2022-12-01T10:55:03.0842849Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0843121Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0843352Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0843497Z 2022-12-01T10:55:03.0843568Z from user code: 2022-12-01T10:55:03.0843803Z File "test_sparse.py", line 3058, in test_any 2022-12-01T10:55:03.0844093Z t = torch.sparse_coo_tensor(torch.tensor(([0, 0], [2, 0])), torch.tensor([False, False]), device=device) 2022-12-01T10:55:03.0844278Z 2022-12-01T10:55:03.0844407Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0844615Z ========== 2022-12-01T10:55:03.0844769Z ok (0.009s) 2022-12-01T10:55:03.0845194Z test_asin_arcsin_cpu_float32 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_asin_arcsin test_sparse.py line 2347 2022-12-01T10:55:03.0845479Z due to: 2022-12-01T10:55:03.0845662Z Traceback (most recent call last): 2022-12-01T10:55:03.0845974Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0846249Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0846801Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.0847385Z 2022-12-01T10:55:03.0847541Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0847787Z 2022-12-01T10:55:03.0847880Z Traceback (most recent call last): 2022-12-01T10:55:03.0848147Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0848420Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0882791Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0883085Z 2022-12-01T10:55:03.0883186Z from user code: 2022-12-01T10:55:03.0883504Z File "test_sparse.py", line 2356, in test_asin_arcsin 2022-12-01T10:55:03.0883792Z device=device 2022-12-01T10:55:03.0883927Z 2022-12-01T10:55:03.0884112Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0884412Z ========== 2022-12-01T10:55:03.0884626Z ok (0.168s) 2022-12-01T10:55:03.0884932Z test_asin_arcsin_cpu_float64 (__main__.TestSparseCPU) ... ok (0.155s) 2022-12-01T10:55:03.0885469Z test_asin_arcsin_cpu_int16 (__main__.TestSparseCPU) ... ok (0.092s) 2022-12-01T10:55:03.0886547Z test_asin_arcsin_cpu_int32 (__main__.TestSparseCPU) ... ok (0.091s) 2022-12-01T10:55:03.0888281Z test_asin_arcsin_cpu_int64 (__main__.TestSparseCPU) ... ok (0.091s) 2022-12-01T10:55:03.0888689Z test_asin_arcsin_cpu_int8 (__main__.TestSparseCPU) ... ok (0.098s) 2022-12-01T10:55:03.0889064Z test_asin_arcsin_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.091s) 2022-12-01T10:55:03.0889508Z test_assign_cpu_float64 (__main__.TestSparseCPU) ... ok (0.007s) 2022-12-01T10:55:03.0899169Z test_basic_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 213 2022-12-01T10:55:03.0899526Z due to: 2022-12-01T10:55:03.0899713Z Traceback (most recent call last): 2022-12-01T10:55:03.0900002Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0900288Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0900865Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.0901165Z 2022-12-01T10:55:03.0901307Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0901476Z 2022-12-01T10:55:03.0901569Z Traceback (most recent call last): 2022-12-01T10:55:03.0901835Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0902116Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0902354Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0902495Z 2022-12-01T10:55:03.0902566Z from user code: 2022-12-01T10:55:03.0902776Z File "test_sparse.py", line 215, in 2022-12-01T10:55:03.0903191Z x = self.sparse_tensor(i, v, torch.Size([10, 2]), dtype=dtype, device=device) 2022-12-01T10:55:03.0903359Z 2022-12-01T10:55:03.0903492Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0903700Z ========== 2022-12-01T10:55:03.0903858Z ok (0.137s) 2022-12-01T10:55:03.0904078Z test_basic_cpu_float64 (__main__.TestSparseCPU) ... ok (0.079s) 2022-12-01T10:55:03.0904582Z test_basic_ops_cpu_float64 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1804 2022-12-01T10:55:03.0904901Z due to: 2022-12-01T10:55:03.0905085Z Traceback (most recent call last): 2022-12-01T10:55:03.0905417Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.0905836Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.0906236Z AssertionError: torch.* op returned non-Tensor bool call_method is_coalesced 2022-12-01T10:55:03.0906423Z 2022-12-01T10:55:03.0906527Z from user code: 2022-12-01T10:55:03.0906882Z File "test_sparse.py", line 1804, in 2022-12-01T10:55:03.0907296Z self.assertEqual(self.safeToDense(y), expected) 2022-12-01T10:55:03.0907497Z 2022-12-01T10:55:03.0907677Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0908088Z ========== 2022-12-01T10:55:03.0935657Z ok (2.835s) 2022-12-01T10:55:03.0936062Z test_bmm_cpu_float64 (__main__.TestSparseCPU) ... ok (2.972s) 2022-12-01T10:55:03.0936514Z test_bmm_cuda_version_error_cpu_float64 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:03.0937216Z test_bmm_deterministic_cpu_float64 (__main__.TestSparseCPU) ... skip: bmm sparse-dense requires CUDA 10.1 or greater (0.002s) 2022-12-01T10:55:03.0938025Z test_bmm_windows_error_cpu_float64 (__main__.TestSparseCPU) ... skip: this test ensures bmm sparse-dense CUDA gives an error when run on Windows with CUDA < 11.0 (0.001s) 2022-12-01T10:55:03.0938866Z test_cat_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 968 2022-12-01T10:55:03.0939296Z due to: 2022-12-01T10:55:03.0939545Z Traceback (most recent call last): 2022-12-01T10:55:03.0939946Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 1596, in LOAD_CLOSURE 2022-12-01T10:55:03.0940358Z self.push(self.closure_cells[inst.argval]) 2022-12-01T10:55:03.0940685Z KeyError: 'coalesced' 2022-12-01T10:55:03.0940858Z 2022-12-01T10:55:03.0940962Z from user code: 2022-12-01T10:55:03.0941283Z File "test_sparse.py", line 972, in 2022-12-01T10:55:03.0941651Z "All tensors must have the same shape: \\[2, 3, 4].*\\[2, 1, 4]") 2022-12-01T10:55:03.0941883Z 2022-12-01T10:55:03.0942074Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0942385Z ========== 2022-12-01T10:55:03.0942641Z ok (0.347s) 2022-12-01T10:55:03.0942995Z test_cat_cpu_float64 (__main__.TestSparseCPU) ... ok (0.088s) 2022-12-01T10:55:03.0943909Z test_change_tensor_metadata_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2984 2022-12-01T10:55:03.0944453Z due to: 2022-12-01T10:55:03.0944695Z Traceback (most recent call last): 2022-12-01T10:55:03.0945083Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0945476Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0946270Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.0946680Z 2022-12-01T10:55:03.0946870Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0947250Z 2022-12-01T10:55:03.0947377Z Traceback (most recent call last): 2022-12-01T10:55:03.0947786Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0948155Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0948484Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0948678Z 2022-12-01T10:55:03.0948775Z from user code: 2022-12-01T10:55:03.0949166Z File "test_sparse.py", line 2986, in 2022-12-01T10:55:03.0949645Z t = torch.sparse_coo_tensor(i, v, torch.Size([1, 2, 3]), dtype=dtype, device=device) 2022-12-01T10:55:03.0949912Z 2022-12-01T10:55:03.0950211Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0950561Z ========== 2022-12-01T10:55:03.0950812Z ok (0.030s) 2022-12-01T10:55:03.0951220Z test_change_tensor_metadata_cpu_float64 (__main__.TestSparseCPU) ... ok (0.011s) 2022-12-01T10:55:03.0951701Z test_clone_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.010s) 2022-12-01T10:55:03.0952130Z test_clone_cpu_float64 (__main__.TestSparseCPU) ... ok (0.003s) 2022-12-01T10:55:03.0952992Z test_coalesce_cpu_bfloat16 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 230 2022-12-01T10:55:03.0953504Z due to: 2022-12-01T10:55:03.0953854Z Traceback (most recent call last): 2022-12-01T10:55:03.0954332Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.0955111Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.0955861Z AssertionError: torch.* op returned non-Tensor bool call_method is_coalesced 2022-12-01T10:55:03.0956169Z 2022-12-01T10:55:03.0956273Z from user code: 2022-12-01T10:55:03.0956641Z File "test_sparse.py", line 231, in 2022-12-01T10:55:03.0957056Z self.assertTrue(tc.is_coalesced()) 2022-12-01T10:55:03.0957295Z 2022-12-01T10:55:03.0957524Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0957892Z ========== 2022-12-01T10:55:03.0958165Z ok (0.124s) 2022-12-01T10:55:03.0958568Z test_coalesce_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.104s) 2022-12-01T10:55:03.0959034Z test_coalesce_cpu_float64 (__main__.TestSparseCPU) ... ok (0.012s) 2022-12-01T10:55:03.0960252Z test_coalesce_reference_cycle_cpu_float64 (__main__.TestSparseCPU) ... Test test_coalesce_reference_cycle_cpu_float64 (__main__.TestSparseCPU) is disabled for some unrecognized platforms: [dynamo]. Please edit issue https://github.com/pytorch/pytorch/issues/89395 to fix the platforms assigned to this flaky test, changing "Platforms: ..." to a comma separated subset of the following (or leave it blank to match all platforms): mac, macos, win, windows, linux, rocm, asan 2022-12-01T10:55:03.0962192Z skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/89395 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:55:03.0963580Z test_coalesce_transpose_mm_cpu_float64 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 875 2022-12-01T10:55:03.0964124Z due to: 2022-12-01T10:55:03.0964429Z Traceback (most recent call last): 2022-12-01T10:55:03.0964898Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.0965646Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.0966343Z AssertionError: torch.* op returned non-Tensor bool call_method is_coalesced 2022-12-01T10:55:03.0966641Z 2022-12-01T10:55:03.0966746Z from user code: 2022-12-01T10:55:03.0967385Z File "test_sparse.py", line 879, in 2022-12-01T10:55:03.0967992Z self.assertTrue(x_coalesced.is_coalesced()) 2022-12-01T10:55:03.0968250Z 2022-12-01T10:55:03.0968458Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0968855Z ========== 2022-12-01T10:55:03.0969133Z ok (0.052s) 2022-12-01T10:55:03.0969950Z test_constructor_device_legacy_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2790 2022-12-01T10:55:03.0972324Z due to: 2022-12-01T10:55:03.0972656Z Traceback (most recent call last): 2022-12-01T10:55:03.0973170Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0973806Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0974337Z RuntimeError: legacy constructor expects device type: cpu but device type: cuda was passed 2022-12-01T10:55:03.0974652Z 2022-12-01T10:55:03.0974889Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0975180Z 2022-12-01T10:55:03.0975342Z Traceback (most recent call last): 2022-12-01T10:55:03.0975794Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0976269Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0976686Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0976940Z 2022-12-01T10:55:03.0977050Z from user code: 2022-12-01T10:55:03.0977407Z File "test_sparse.py", line 2790, in 2022-12-01T10:55:03.0978092Z self.assertRaises(RuntimeError, lambda: torch.sparse.FloatTensor(device='cuda')) 2022-12-01T10:55:03.0978419Z 2022-12-01T10:55:03.0978655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0979013Z ========== 2022-12-01T10:55:03.0979602Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2791 2022-12-01T10:55:03.0980042Z due to: 2022-12-01T10:55:03.0980361Z Traceback (most recent call last): 2022-12-01T10:55:03.0980869Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0981360Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0981876Z RuntimeError: legacy constructor expects device type: cpu but device type: cuda was passed 2022-12-01T10:55:03.0982206Z 2022-12-01T10:55:03.0982437Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0982729Z 2022-12-01T10:55:03.0982895Z Traceback (most recent call last): 2022-12-01T10:55:03.0983358Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0983837Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0984258Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0984503Z 2022-12-01T10:55:03.0984625Z from user code: 2022-12-01T10:55:03.0984955Z File "test_sparse.py", line 2791, in 2022-12-01T10:55:03.0985611Z self.assertRaises(RuntimeError, lambda: torch.sparse.FloatTensor(i, v, device='cuda')) 2022-12-01T10:55:03.0985959Z 2022-12-01T10:55:03.0986195Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0986539Z ========== 2022-12-01T10:55:03.0987111Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2792 2022-12-01T10:55:03.0987548Z due to: 2022-12-01T10:55:03.0987881Z Traceback (most recent call last): 2022-12-01T10:55:03.0988374Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0988886Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0989403Z RuntimeError: legacy constructor expects device type: cpu but device type: cuda was passed 2022-12-01T10:55:03.0989745Z 2022-12-01T10:55:03.0989964Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0990256Z 2022-12-01T10:55:03.0990419Z Traceback (most recent call last): 2022-12-01T10:55:03.0990918Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0991520Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0991940Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0992196Z 2022-12-01T10:55:03.0992320Z from user code: 2022-12-01T10:55:03.0992680Z File "test_sparse.py", line 2792, in 2022-12-01T10:55:03.0993352Z self.assertRaises(RuntimeError, lambda: torch.sparse.FloatTensor(i, v, size, device='cuda')) 2022-12-01T10:55:03.0993705Z 2022-12-01T10:55:03.0993939Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.0994339Z ========== 2022-12-01T10:55:03.0994905Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2793 2022-12-01T10:55:03.0995322Z due to: 2022-12-01T10:55:03.0995729Z Traceback (most recent call last): 2022-12-01T10:55:03.0996215Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.0996724Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.0997254Z RuntimeError: legacy constructor expects device type: cpu but device type: cuda was passed 2022-12-01T10:55:03.0997582Z 2022-12-01T10:55:03.0997824Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.0998117Z 2022-12-01T10:55:03.0998267Z Traceback (most recent call last): 2022-12-01T10:55:03.0998770Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.0999244Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.0999641Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.0999879Z 2022-12-01T10:55:03.0999993Z from user code: 2022-12-01T10:55:03.1000353Z File "test_sparse.py", line 2793, in 2022-12-01T10:55:03.1001074Z self.assertRaises(RuntimeError, lambda: torch.sparse.FloatTensor(torch.Size([2, 3, 4]), device='cuda')) 2022-12-01T10:55:03.1001407Z 2022-12-01T10:55:03.1001620Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1001977Z ========== 2022-12-01T10:55:03.1002620Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2793 2022-12-01T10:55:03.1003114Z due to: 2022-12-01T10:55:03.1003443Z Traceback (most recent call last): 2022-12-01T10:55:03.1003942Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1004421Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1005419Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1005926Z 2022-12-01T10:55:03.1006170Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1006444Z 2022-12-01T10:55:03.1006603Z Traceback (most recent call last): 2022-12-01T10:55:03.1007275Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1007778Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1008184Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1008435Z 2022-12-01T10:55:03.1008562Z from user code: 2022-12-01T10:55:03.1008993Z File "test_sparse.py", line 2795, in 2022-12-01T10:55:03.1009646Z x = torch.sparse_coo_tensor(i, v, size, device='cpu') 2022-12-01T10:55:03.1009906Z 2022-12-01T10:55:03.1010123Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1010480Z ========== 2022-12-01T10:55:03.1011032Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2796 2022-12-01T10:55:03.1011473Z due to: 2022-12-01T10:55:03.1011785Z Traceback (most recent call last): 2022-12-01T10:55:03.1012293Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:55:03.1012826Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:55:03.1013363Z RuntimeError: legacy constructor expects device type: cpu but device type: cuda was passed 2022-12-01T10:55:03.1013807Z 2022-12-01T10:55:03.1014046Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1014343Z 2022-12-01T10:55:03.1014508Z Traceback (most recent call last): 2022-12-01T10:55:03.1014991Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1015452Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1015856Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1016116Z 2022-12-01T10:55:03.1016245Z from user code: 2022-12-01T10:55:03.1016619Z File "test_sparse.py", line 2796, in 2022-12-01T10:55:03.1017296Z self.assertRaises(RuntimeError, lambda: x.new(device='cuda')) 2022-12-01T10:55:03.1017582Z 2022-12-01T10:55:03.1017805Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1018174Z ========== 2022-12-01T10:55:03.1018736Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2797 2022-12-01T10:55:03.1019167Z due to: 2022-12-01T10:55:03.1019479Z Traceback (most recent call last): 2022-12-01T10:55:03.1019973Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:55:03.1020502Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:55:03.1021117Z RuntimeError: legacy constructor expects device type: cpu but device type: cuda was passed 2022-12-01T10:55:03.1021466Z 2022-12-01T10:55:03.1021708Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1021981Z 2022-12-01T10:55:03.1022134Z Traceback (most recent call last): 2022-12-01T10:55:03.1022615Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1023093Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1023497Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1023754Z 2022-12-01T10:55:03.1023871Z from user code: 2022-12-01T10:55:03.1024232Z File "test_sparse.py", line 2797, in 2022-12-01T10:55:03.1024840Z self.assertRaises(RuntimeError, lambda: x.new(i, v, device='cuda')) 2022-12-01T10:55:03.1025140Z 2022-12-01T10:55:03.1025361Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1025737Z ========== 2022-12-01T10:55:03.1026302Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2798 2022-12-01T10:55:03.1026708Z due to: 2022-12-01T10:55:03.1027021Z Traceback (most recent call last): 2022-12-01T10:55:03.1027512Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:55:03.1028057Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:55:03.1028612Z RuntimeError: legacy constructor expects device type: cpu but device type: cuda was passed 2022-12-01T10:55:03.1028941Z 2022-12-01T10:55:03.1029181Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1029473Z 2022-12-01T10:55:03.1029634Z Traceback (most recent call last): 2022-12-01T10:55:03.1030099Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1030586Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1030995Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1031237Z 2022-12-01T10:55:03.1031334Z from user code: 2022-12-01T10:55:03.1031667Z File "test_sparse.py", line 2798, in 2022-12-01T10:55:03.1032270Z self.assertRaises(RuntimeError, lambda: x.new(i, v, size, device='cuda')) 2022-12-01T10:55:03.1032565Z 2022-12-01T10:55:03.1032779Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1033159Z ========== 2022-12-01T10:55:03.1033720Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2799 2022-12-01T10:55:03.1034149Z due to: 2022-12-01T10:55:03.1034432Z Traceback (most recent call last): 2022-12-01T10:55:03.1035070Z File "/opt/conda/lib/python3.7/site-packages/torch/cuda/__init__.py", line 221, in _lazy_init 2022-12-01T10:55:03.1035719Z raise AssertionError("Torch not compiled with CUDA enabled") 2022-12-01T10:55:03.1036190Z AssertionError: Torch not compiled with CUDA enabled 2022-12-01T10:55:03.1036462Z 2022-12-01T10:55:03.1036583Z from user code: 2022-12-01T10:55:03.1036932Z File "test_sparse.py", line 2799, in 2022-12-01T10:55:03.1037550Z self.assertRaises(RuntimeError, lambda: x.new(torch.Size([2, 3, 4]), device='cuda')) 2022-12-01T10:55:03.1037849Z 2022-12-01T10:55:03.1038067Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1038450Z ========== 2022-12-01T10:55:03.1038717Z ok (0.087s) 2022-12-01T10:55:03.1039577Z test_contig_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 526 2022-12-01T10:55:03.1040143Z due to: 2022-12-01T10:55:03.1040453Z Traceback (most recent call last): 2022-12-01T10:55:03.1040934Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1041429Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1042433Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1042955Z 2022-12-01T10:55:03.1043199Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1043487Z 2022-12-01T10:55:03.1043653Z Traceback (most recent call last): 2022-12-01T10:55:03.1044155Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1044627Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1045012Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1045258Z 2022-12-01T10:55:03.1045375Z from user code: 2022-12-01T10:55:03.1045955Z File "test_sparse.py", line 528, in 2022-12-01T10:55:03.1046412Z x = self.sparse_tensor(i, v, torch.Size([100, 100])) 2022-12-01T10:55:03.1046655Z 2022-12-01T10:55:03.1047076Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1047449Z ========== 2022-12-01T10:55:03.1047717Z ok (0.126s) 2022-12-01T10:55:03.1048085Z test_contig_cpu_float64 (__main__.TestSparseCPU) ... ok (0.066s) 2022-12-01T10:55:03.1049023Z test_contig_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 607 2022-12-01T10:55:03.1049578Z due to: 2022-12-01T10:55:03.1049896Z Traceback (most recent call last): 2022-12-01T10:55:03.1050422Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1050949Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1051934Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1052444Z 2022-12-01T10:55:03.1052683Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1052984Z 2022-12-01T10:55:03.1053149Z Traceback (most recent call last): 2022-12-01T10:55:03.1053647Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1054120Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1054548Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1054803Z 2022-12-01T10:55:03.1054928Z from user code: 2022-12-01T10:55:03.1055340Z File "test_sparse.py", line 612, in 2022-12-01T10:55:03.1055807Z x = self.sparse_tensor(i, v, torch.Size([100, 100, 2])) 2022-12-01T10:55:03.1056063Z 2022-12-01T10:55:03.1056309Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1056827Z ========== 2022-12-01T10:55:03.1057088Z ok (0.128s) 2022-12-01T10:55:03.1057501Z test_contig_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.068s) 2022-12-01T10:55:03.1058404Z test_ctor_large_sizes_cpu_float64 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 309 2022-12-01T10:55:03.1058927Z due to: 2022-12-01T10:55:03.1059246Z Traceback (most recent call last): 2022-12-01T10:55:03.1059735Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1060244Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1061345Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1061882Z 2022-12-01T10:55:03.1062132Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1062423Z 2022-12-01T10:55:03.1062580Z Traceback (most recent call last): 2022-12-01T10:55:03.1063061Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1063525Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1063942Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1064182Z 2022-12-01T10:55:03.1064301Z from user code: 2022-12-01T10:55:03.1064634Z File "test_sparse.py", line 310, in 2022-12-01T10:55:03.1065050Z indices, values, (N + 1,) * 4, device=device)) 2022-12-01T10:55:03.1065285Z 2022-12-01T10:55:03.1065525Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1065879Z ========== 2022-12-01T10:55:03.1066144Z ok (0.022s) 2022-12-01T10:55:03.1066926Z test_ctor_size_checks_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 325 2022-12-01T10:55:03.1067444Z due to: 2022-12-01T10:55:03.1067742Z Traceback (most recent call last): 2022-12-01T10:55:03.1068238Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1068747Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1069209Z RuntimeError: number of dimensions must be sparse_dim (4) + dense_dim (0), but got 3 2022-12-01T10:55:03.1069515Z 2022-12-01T10:55:03.1069739Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1070026Z 2022-12-01T10:55:03.1070167Z Traceback (most recent call last): 2022-12-01T10:55:03.1070629Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1071093Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1071488Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1071713Z 2022-12-01T10:55:03.1071822Z from user code: 2022-12-01T10:55:03.1072126Z File "test_sparse.py", line 325, in 2022-12-01T10:55:03.1072598Z lambda: self.sparse_tensor(indices, values, torch.Size([2, 1, 1]))) 2022-12-01T10:55:03.1072894Z 2022-12-01T10:55:03.1073136Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1073497Z ========== 2022-12-01T10:55:03.1074096Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 334 2022-12-01T10:55:03.1074508Z due to: 2022-12-01T10:55:03.1074784Z Traceback (most recent call last): 2022-12-01T10:55:03.1075269Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1075773Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1076254Z RuntimeError: number of dimensions must be sparse_dim (4) + dense_dim (1), but got 4 2022-12-01T10:55:03.1076534Z 2022-12-01T10:55:03.1076763Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1077015Z 2022-12-01T10:55:03.1077154Z Traceback (most recent call last): 2022-12-01T10:55:03.1077605Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1078188Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1078590Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1078838Z 2022-12-01T10:55:03.1078952Z from user code: 2022-12-01T10:55:03.1079300Z File "test_sparse.py", line 334, in 2022-12-01T10:55:03.1079749Z lambda: self.sparse_tensor(indices, values, torch.Size([2, 4, 2, 1]))) 2022-12-01T10:55:03.1080026Z 2022-12-01T10:55:03.1080246Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1080587Z ========== 2022-12-01T10:55:03.1080819Z ok (0.047s) 2022-12-01T10:55:03.1081229Z test_ctor_size_checks_cpu_float64 (__main__.TestSparseCPU) ... ok (0.024s) 2022-12-01T10:55:03.1081842Z test_cuda_empty_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:03.1082708Z test_div_by_sparse_error_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 3096 2022-12-01T10:55:03.1083227Z due to: 2022-12-01T10:55:03.1083553Z Traceback (most recent call last): 2022-12-01T10:55:03.1084173Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:03.1084700Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:03.1085233Z NotImplementedError: Cannot access storage of SparseTensorImpl 2022-12-01T10:55:03.1085527Z 2022-12-01T10:55:03.1085767Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1086042Z 2022-12-01T10:55:03.1086192Z Traceback (most recent call last): 2022-12-01T10:55:03.1086680Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1087389Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1087791Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1088028Z 2022-12-01T10:55:03.1088140Z from user code: 2022-12-01T10:55:03.1088470Z File "test_sparse.py", line 3096, in 2022-12-01T10:55:03.1088892Z lambda: torch.tensor(1., device=device).to_sparse() 2022-12-01T10:55:03.1089127Z 2022-12-01T10:55:03.1089351Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1089735Z ========== 2022-12-01T10:55:03.1090004Z ok (0.014s) 2022-12-01T10:55:03.1090390Z test_div_rounding_mode_cpu_float32 (__main__.TestSparseCPU) ... ok (0.035s) 2022-12-01T10:55:03.1090911Z test_div_rounding_mode_cpu_float64 (__main__.TestSparseCPU) ... ok (0.030s) 2022-12-01T10:55:03.1091393Z test_dsmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.254s) 2022-12-01T10:55:03.1091831Z test_dtypes_cpu (__main__.TestSparseCPU) ... ok (0.009s) 2022-12-01T10:55:03.1092292Z test_empty_full_cpu (__main__.TestSparseCPU) ... ok (0.016s) 2022-12-01T10:55:03.1093171Z test_empty_like_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_empty_like test_sparse.py line 2095 2022-12-01T10:55:03.1093703Z due to: 2022-12-01T10:55:03.1094002Z Traceback (most recent call last): 2022-12-01T10:55:03.1094504Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1095008Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1095986Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1096515Z 2022-12-01T10:55:03.1096759Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1097059Z 2022-12-01T10:55:03.1097214Z Traceback (most recent call last): 2022-12-01T10:55:03.1097705Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1098165Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1098577Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1098834Z 2022-12-01T10:55:03.1098948Z from user code: 2022-12-01T10:55:03.1099436Z File "test_sparse.py", line 2106, in test_empty_like 2022-12-01T10:55:03.1099801Z device=device 2022-12-01T10:55:03.1099981Z 2022-12-01T10:55:03.1100220Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1100608Z ========== 2022-12-01T10:55:03.1101256Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2070 2022-12-01T10:55:03.1101737Z due to: 2022-12-01T10:55:03.1102066Z Traceback (most recent call last): 2022-12-01T10:55:03.1102553Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.1103428Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.1104131Z AssertionError: torch.* op returned non-Tensor int call_method sparse_dim 2022-12-01T10:55:03.1104437Z 2022-12-01T10:55:03.1104543Z from user code: 2022-12-01T10:55:03.1104943Z File "test_sparse.py", line 2071, in 2022-12-01T10:55:03.1105397Z self._assert_sparse_invars(result) 2022-12-01T10:55:03.1105625Z 2022-12-01T10:55:03.1105862Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1106229Z ========== 2022-12-01T10:55:03.1106829Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _assert_sparse_invars test_sparse.py line 2058 2022-12-01T10:55:03.1107284Z due to: 2022-12-01T10:55:03.1107582Z Traceback (most recent call last): 2022-12-01T10:55:03.1108068Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.1108859Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.1109562Z AssertionError: torch.* op returned non-Tensor int call_method sparse_dim 2022-12-01T10:55:03.1109879Z 2022-12-01T10:55:03.1110007Z from user code: 2022-12-01T10:55:03.1110405Z File "test_sparse.py", line 2063, in _assert_sparse_invars 2022-12-01T10:55:03.1110906Z self.assertEqual(t.sparse_dim() + t.dense_dim(), len(t.shape)) 2022-12-01T10:55:03.1111178Z 2022-12-01T10:55:03.1111413Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1111790Z ========== 2022-12-01T10:55:03.1112069Z ok (0.199s) 2022-12-01T10:55:03.1112453Z test_empty_like_cpu_float64 (__main__.TestSparseCPU) ... ok (0.079s) 2022-12-01T10:55:03.1113309Z test_factory_copy_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_factory_copy test_sparse.py line 2721 2022-12-01T10:55:03.1113860Z due to: 2022-12-01T10:55:03.1114177Z Traceback (most recent call last): 2022-12-01T10:55:03.1114701Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1115222Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1116246Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1116759Z 2022-12-01T10:55:03.1116977Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1117266Z 2022-12-01T10:55:03.1117429Z Traceback (most recent call last): 2022-12-01T10:55:03.1117904Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1118395Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1118775Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1119037Z 2022-12-01T10:55:03.1119161Z from user code: 2022-12-01T10:55:03.1119527Z File "test_sparse.py", line 2737, in test_factory_copy 2022-12-01T10:55:03.1119940Z test_tensor(indices, values, True, True) 2022-12-01T10:55:03.1120168Z 2022-12-01T10:55:03.1120396Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1120772Z ========== 2022-12-01T10:55:03.1121352Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensor test_sparse.py line 2723 2022-12-01T10:55:03.1121894Z due to: 2022-12-01T10:55:03.1122207Z Traceback (most recent call last): 2022-12-01T10:55:03.1122697Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1123184Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1124207Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1124730Z 2022-12-01T10:55:03.1124968Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1125226Z 2022-12-01T10:55:03.1125485Z Traceback (most recent call last): 2022-12-01T10:55:03.1125940Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1126409Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1126816Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1127294Z 2022-12-01T10:55:03.1127419Z from user code: 2022-12-01T10:55:03.1127784Z File "test_sparse.py", line 2724, in test_tensor 2022-12-01T10:55:03.1128294Z sparse_tensor = torch.sparse_coo_tensor(indices, values, dtype=torch.float64, device=device) 2022-12-01T10:55:03.1128628Z 2022-12-01T10:55:03.1128841Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1129215Z ========== 2022-12-01T10:55:03.1129486Z ok (0.022s) 2022-12-01T10:55:03.1130275Z test_factory_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_factory test_sparse.py line 2522 2022-12-01T10:55:03.1130792Z due to: 2022-12-01T10:55:03.1131112Z Traceback (most recent call last): 2022-12-01T10:55:03.1131601Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.1132361Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.1133189Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:55:03.1133545Z 2022-12-01T10:55:03.1133675Z from user code: 2022-12-01T10:55:03.1134027Z File "test_sparse.py", line 2528, in test_factory 2022-12-01T10:55:03.1134413Z size = torch.Size([3, 3, 0]) 2022-12-01T10:55:03.1134619Z 2022-12-01T10:55:03.1134848Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1135234Z ========== 2022-12-01T10:55:03.1135476Z ok (0.013s) 2022-12-01T10:55:03.1135861Z test_factory_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.008s) 2022-12-01T10:55:03.1136351Z test_factory_cpu_float16 (__main__.TestSparseCPU) ... ok (0.008s) 2022-12-01T10:55:03.1136789Z test_factory_cpu_float32 (__main__.TestSparseCPU) ... ok (0.008s) 2022-12-01T10:55:03.1137263Z test_factory_cpu_float64 (__main__.TestSparseCPU) ... ok (0.008s) 2022-12-01T10:55:03.1137745Z test_factory_default_cpu (__main__.TestSparseCPU) ... ok (0.018s) 2022-12-01T10:55:03.1138249Z test_factory_dense_dim_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.032s) 2022-12-01T10:55:03.1138769Z test_factory_dense_dim_cpu_float64 (__main__.TestSparseCPU) ... ok (0.027s) 2022-12-01T10:55:03.1139333Z test_factory_device_type_inference_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:55:03.1139892Z test_factory_empty_indices_cpu (__main__.TestSparseCPU) ... ok (0.044s) 2022-12-01T10:55:03.1140363Z test_factory_nnz_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.032s) 2022-12-01T10:55:03.1140855Z test_factory_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.027s) 2022-12-01T10:55:03.1141388Z test_factory_nnz_zero_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.113s) 2022-12-01T10:55:03.1141889Z test_factory_nnz_zero_cpu_float64 (__main__.TestSparseCPU) ... ok (0.063s) 2022-12-01T10:55:03.1142408Z test_factory_size_check_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.061s) 2022-12-01T10:55:03.1143093Z test_factory_size_check_cpu_float64 (__main__.TestSparseCPU) ... ok (0.046s) 2022-12-01T10:55:03.1144124Z test_factory_type_inference_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_factory_type_inference test_sparse.py line 2677 2022-12-01T10:55:03.1144703Z due to: 2022-12-01T10:55:03.1145035Z Traceback (most recent call last): 2022-12-01T10:55:03.1145522Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1146017Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1147085Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1147582Z 2022-12-01T10:55:03.1147814Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1148097Z 2022-12-01T10:55:03.1148267Z Traceback (most recent call last): 2022-12-01T10:55:03.1148760Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1149223Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1149624Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1149877Z 2022-12-01T10:55:03.1149975Z from user code: 2022-12-01T10:55:03.1150354Z File "test_sparse.py", line 2680, in test_factory_type_inference 2022-12-01T10:55:03.1150888Z t = torch.sparse_coo_tensor(torch.tensor(([0], [2])), torch.tensor([1.], dtype=dtype)) 2022-12-01T10:55:03.1151174Z 2022-12-01T10:55:03.1151403Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1151763Z ========== 2022-12-01T10:55:03.1152042Z ok (0.010s) 2022-12-01T10:55:03.1152471Z test_factory_type_inference_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1153005Z test_factory_type_inference_cpu_float16 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1153559Z test_factory_type_inference_cpu_float32 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1154112Z test_factory_type_inference_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1154671Z test_factory_type_inference_cpu_int64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1155559Z test_floor_divide_by_sparse_error_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 3101 2022-12-01T10:55:03.1156084Z due to: 2022-12-01T10:55:03.1156408Z Traceback (most recent call last): 2022-12-01T10:55:03.1157014Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:03.1157599Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:03.1158157Z NotImplementedError: Cannot access storage of SparseTensorImpl 2022-12-01T10:55:03.1158458Z 2022-12-01T10:55:03.1158706Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1158987Z 2022-12-01T10:55:03.1159147Z Traceback (most recent call last): 2022-12-01T10:55:03.1159654Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1160150Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1160566Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1160821Z 2022-12-01T10:55:03.1160946Z from user code: 2022-12-01T10:55:03.1161306Z File "test_sparse.py", line 3101, in 2022-12-01T10:55:03.1161726Z lambda: torch.tensor(1., device=device).to_sparse() 2022-12-01T10:55:03.1161982Z 2022-12-01T10:55:03.1162209Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1162599Z ========== 2022-12-01T10:55:03.1162863Z ok (0.014s) 2022-12-01T10:55:03.1163291Z test_full_broadcast_to_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.062s) 2022-12-01T10:55:03.1163835Z test_full_broadcast_to_cpu_float64 (__main__.TestSparseCPU) ... ok (0.035s) 2022-12-01T10:55:03.1164455Z test_hsmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.272s) 2022-12-01T10:55:03.1164950Z test_index_select_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.458s) 2022-12-01T10:55:03.1165482Z test_index_select_cpu_float64 (__main__.TestSparseCPU) ... ok (0.136s) 2022-12-01T10:55:03.1166078Z test_index_select_empty_and_non_contiguous_index_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.181s) 2022-12-01T10:55:03.1166698Z test_index_select_empty_and_non_contiguous_index_cpu_float64 (__main__.TestSparseCPU) ... ok (0.147s) 2022-12-01T10:55:03.1167612Z test_index_select_exhaustive_index_large_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.405s) 2022-12-01T10:55:03.1168354Z test_index_select_exhaustive_index_large_cpu_float64 (__main__.TestSparseCPU) ... ok (0.263s) 2022-12-01T10:55:03.1168971Z test_index_select_exhaustive_index_small_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.298s) 2022-12-01T10:55:03.1169581Z test_index_select_exhaustive_index_small_cpu_float64 (__main__.TestSparseCPU) ... ok (0.243s) 2022-12-01T10:55:03.1170177Z test_index_select_parallelization_cpu_complex128 (__main__.TestSparseCPU) 2022-12-01T10:55:03.1170744Z Test with sizes that will trigger parallelization (i.e. with sizes ... ok (0.228s) 2022-12-01T10:55:03.1171302Z test_index_select_parallelization_cpu_float64 (__main__.TestSparseCPU) 2022-12-01T10:55:03.1171839Z Test with sizes that will trigger parallelization (i.e. with sizes ... ok (0.204s) 2022-12-01T10:55:03.1172735Z test_is_nonzero_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_is_nonzero test_sparse.py line 2962 2022-12-01T10:55:03.1173268Z due to: 2022-12-01T10:55:03.1173581Z Traceback (most recent call last): 2022-12-01T10:55:03.1174087Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1174602Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1175603Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1176121Z 2022-12-01T10:55:03.1176376Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1176664Z 2022-12-01T10:55:03.1176827Z Traceback (most recent call last): 2022-12-01T10:55:03.1177323Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1177797Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1178208Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1178464Z 2022-12-01T10:55:03.1178588Z from user code: 2022-12-01T10:55:03.1178962Z File "test_sparse.py", line 2963, in test_is_nonzero 2022-12-01T10:55:03.1179464Z self.assertTrue(torch.sparse_coo_tensor(([0],), 1., (1,), device=device).is_nonzero()) 2022-12-01T10:55:03.1179777Z 2022-12-01T10:55:03.1180009Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1180397Z ========== 2022-12-01T10:55:03.1180667Z ok (0.013s) 2022-12-01T10:55:03.1181060Z test_is_sparse_cpu (__main__.TestSparseCPU) ... ok (0.033s) 2022-12-01T10:55:03.1181887Z test_isnan_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_isnan test_sparse.py line 3065 2022-12-01T10:55:03.1182377Z due to: 2022-12-01T10:55:03.1182688Z Traceback (most recent call last): 2022-12-01T10:55:03.1183192Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1183712Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1184705Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1185219Z 2022-12-01T10:55:03.1185463Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1185874Z 2022-12-01T10:55:03.1186037Z Traceback (most recent call last): 2022-12-01T10:55:03.1186521Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1187007Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1187427Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1187688Z 2022-12-01T10:55:03.1187813Z from user code: 2022-12-01T10:55:03.1188177Z File "test_sparse.py", line 3066, in test_isnan 2022-12-01T10:55:03.1188684Z t = torch.sparse_coo_tensor(torch.tensor(([0, 0], [0, 2])), torch.tensor([1, 4]), device=device) 2022-12-01T10:55:03.1189004Z 2022-12-01T10:55:03.1189237Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1189672Z ========== 2022-12-01T10:55:03.1189955Z ok (0.009s) 2022-12-01T10:55:03.1190730Z test_legacy_constructor_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2818 2022-12-01T10:55:03.1191258Z due to: 2022-12-01T10:55:03.1191573Z Traceback (most recent call last): 2022-12-01T10:55:03.1192055Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.1192835Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.1193565Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:03.1193882Z 2022-12-01T10:55:03.1194006Z from user code: 2022-12-01T10:55:03.1194362Z File "test_sparse.py", line 2818, in 2022-12-01T10:55:03.1194859Z self.assertRaises(TypeError, lambda: torch.sparse.FloatTensor(v.storage())) 2022-12-01T10:55:03.1195202Z 2022-12-01T10:55:03.1195442Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1195845Z ========== 2022-12-01T10:55:03.1196418Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2819 2022-12-01T10:55:03.1196842Z due to: 2022-12-01T10:55:03.1197176Z Traceback (most recent call last): 2022-12-01T10:55:03.1197680Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1198168Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1198850Z TypeError: new() received an invalid combination of arguments - got (FakeTensor), but expected one of: 2022-12-01T10:55:03.1199338Z * (*, torch.device device) 2022-12-01T10:55:03.1199746Z * (Tensor indices, Tensor values, *, torch.device device) 2022-12-01T10:55:03.1200249Z * (Tensor indices, Tensor values, tuple of ints size, *, torch.device device) 2022-12-01T10:55:03.1200690Z * (tuple of ints size, *, torch.device device) 2022-12-01T10:55:03.1200914Z 2022-12-01T10:55:03.1200921Z 2022-12-01T10:55:03.1201045Z from user code: 2022-12-01T10:55:03.1201368Z File "test_sparse.py", line 2819, in 2022-12-01T10:55:03.1201844Z self.assertRaises(TypeError, lambda: torch.sparse.FloatTensor(v)) 2022-12-01T10:55:03.1202157Z 2022-12-01T10:55:03.1202376Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1202759Z ========== 2022-12-01T10:55:03.1203433Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2819 2022-12-01T10:55:03.1203902Z due to: 2022-12-01T10:55:03.1204210Z Traceback (most recent call last): 2022-12-01T10:55:03.1204703Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1205208Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1205851Z TypeError: torch.SparseTensor(sequence) only accepts sizes. Please use torch.sparse_coo_tensor() or construct a strided tensor and convert it to sparse via to_sparse. 2022-12-01T10:55:03.1206326Z 2022-12-01T10:55:03.1206443Z from user code: 2022-12-01T10:55:03.1206942Z File "test_sparse.py", line 2820, in 2022-12-01T10:55:03.1207750Z self.assertEqual(torch.sparse_coo, torch.sparse.FloatTensor(torch.Size([2, 3])).layout) 2022-12-01T10:55:03.1208082Z 2022-12-01T10:55:03.1208219Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1208445Z ========== 2022-12-01T10:55:03.1208809Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2821 2022-12-01T10:55:03.1209043Z due to: 2022-12-01T10:55:03.1209232Z Traceback (most recent call last): 2022-12-01T10:55:03.1209518Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1209796Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1210233Z TypeError: torch.SparseTensor(sequence) only accepts sizes. Please use torch.sparse_coo_tensor() or construct a strided tensor and convert it to sparse via to_sparse. 2022-12-01T10:55:03.1210505Z 2022-12-01T10:55:03.1210574Z from user code: 2022-12-01T10:55:03.1210781Z File "test_sparse.py", line 2821, in 2022-12-01T10:55:03.1211049Z self.assertRaises(TypeError, lambda: torch.sparse.FloatTensor([6])) 2022-12-01T10:55:03.1211232Z 2022-12-01T10:55:03.1211363Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1211582Z ========== 2022-12-01T10:55:03.1211728Z ok (0.023s) 2022-12-01T10:55:03.1212149Z test_legacy_new_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_legacy_new test_sparse.py line 2823 2022-12-01T10:55:03.1212440Z due to: 2022-12-01T10:55:03.1212610Z Traceback (most recent call last): 2022-12-01T10:55:03.1212891Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1213177Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1213735Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1214028Z 2022-12-01T10:55:03.1214154Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1214324Z 2022-12-01T10:55:03.1214413Z Traceback (most recent call last): 2022-12-01T10:55:03.1214691Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1214963Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1215184Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1215326Z 2022-12-01T10:55:03.1215396Z from user code: 2022-12-01T10:55:03.1215607Z File "test_sparse.py", line 2827, in test_legacy_new 2022-12-01T10:55:03.1215833Z s = torch.sparse_coo_tensor(i, v, size) 2022-12-01T10:55:03.1215983Z 2022-12-01T10:55:03.1216115Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1216335Z ========== 2022-12-01T10:55:03.1216638Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2830 2022-12-01T10:55:03.1216883Z due to: 2022-12-01T10:55:03.1217063Z Traceback (most recent call last): 2022-12-01T10:55:03.1217328Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.1217761Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.1218172Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:03.1218354Z 2022-12-01T10:55:03.1218423Z from user code: 2022-12-01T10:55:03.1218615Z File "test_sparse.py", line 2830, in 2022-12-01T10:55:03.1218869Z self.assertRaises(TypeError, lambda: s.new(v.storage())) 2022-12-01T10:55:03.1219024Z 2022-12-01T10:55:03.1219154Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1219357Z ========== 2022-12-01T10:55:03.1219671Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2831 2022-12-01T10:55:03.1219916Z due to: 2022-12-01T10:55:03.1220084Z Traceback (most recent call last): 2022-12-01T10:55:03.1220366Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:55:03.1220716Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:55:03.1221121Z TypeError: new() received an invalid combination of arguments - got (FakeTensor), but expected one of: 2022-12-01T10:55:03.1221382Z * (*, torch.device device) 2022-12-01T10:55:03.1221613Z * (Tensor indices, Tensor values, *, torch.device device) 2022-12-01T10:55:03.1221894Z * (Tensor indices, Tensor values, tuple of ints size, *, torch.device device) 2022-12-01T10:55:03.1222147Z * (tuple of ints size, *, torch.device device) 2022-12-01T10:55:03.1222283Z 2022-12-01T10:55:03.1222288Z 2022-12-01T10:55:03.1222360Z from user code: 2022-12-01T10:55:03.1222602Z File "test_sparse.py", line 2831, in 2022-12-01T10:55:03.1222849Z self.assertRaises(TypeError, lambda: s.new(v)) 2022-12-01T10:55:03.1222982Z 2022-12-01T10:55:03.1223113Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1223328Z ========== 2022-12-01T10:55:03.1223648Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2833 2022-12-01T10:55:03.1223876Z due to: 2022-12-01T10:55:03.1224059Z Traceback (most recent call last): 2022-12-01T10:55:03.1224338Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:55:03.1224631Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:55:03.1225027Z TypeError: SparseTensor.new(sequence) only accepts sizes. Please use torch.sparse_coo_tensor() or construct a strided tensor and convert it to sparse via to_sparse. 2022-12-01T10:55:03.1225285Z 2022-12-01T10:55:03.1225355Z from user code: 2022-12-01T10:55:03.1225562Z File "test_sparse.py", line 2833, in 2022-12-01T10:55:03.1225796Z self.assertRaises(TypeError, lambda: s.new([6])) 2022-12-01T10:55:03.1225942Z 2022-12-01T10:55:03.1226071Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1226286Z ========== 2022-12-01T10:55:03.1226432Z ok (0.013s) 2022-12-01T10:55:03.1226840Z test_log1p_cpu_float32 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_log1p test_sparse.py line 2202 2022-12-01T10:55:03.1227134Z due to: 2022-12-01T10:55:03.1227305Z Traceback (most recent call last): 2022-12-01T10:55:03.1227585Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1227871Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1228424Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1228717Z 2022-12-01T10:55:03.1228840Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1229006Z 2022-12-01T10:55:03.1229097Z Traceback (most recent call last): 2022-12-01T10:55:03.1229374Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1229649Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1229871Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1230013Z 2022-12-01T10:55:03.1230083Z from user code: 2022-12-01T10:55:03.1230288Z File "test_sparse.py", line 2211, in test_log1p 2022-12-01T10:55:03.1230476Z dtype=dtype 2022-12-01T10:55:03.1230580Z 2022-12-01T10:55:03.1230709Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1230925Z ========== 2022-12-01T10:55:03.1231069Z ok (0.348s) 2022-12-01T10:55:03.1231288Z test_log1p_cpu_float64 (__main__.TestSparseCPU) ... ok (0.318s) 2022-12-01T10:55:03.1231558Z test_log1p_cpu_int16 (__main__.TestSparseCPU) ... ok (0.156s) 2022-12-01T10:55:03.1231807Z test_log1p_cpu_int32 (__main__.TestSparseCPU) ... ok (0.026s) 2022-12-01T10:55:03.1232063Z test_log1p_cpu_int64 (__main__.TestSparseCPU) ... ok (0.026s) 2022-12-01T10:55:03.1232326Z test_log1p_cpu_int8 (__main__.TestSparseCPU) ... ok (0.026s) 2022-12-01T10:55:03.1232623Z test_log1p_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.026s) 2022-12-01T10:55:03.1232876Z test_mm_cpu_complex128 (__main__.TestSparseCPU) ... ok (1.108s) 2022-12-01T10:55:03.1233140Z test_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.277s) 2022-12-01T10:55:03.1233613Z test_mv_cpu_float64 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2397 2022-12-01T10:55:03.1233901Z due to: 2022-12-01T10:55:03.1234086Z Traceback (most recent call last): 2022-12-01T10:55:03.1234427Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1234725Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1237285Z NotImplementedError: Could not run 'aten::addmv_' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::addmv_' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCsrCPU, SparseCsrCUDA, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1238989Z 2022-12-01T10:55:03.1239273Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1239716Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1240177Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1240727Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1241273Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1241802Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1242348Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1242889Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1243433Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1243867Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterMeta.cpp:26815 [kernel] 2022-12-01T10:55:03.1244328Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1244890Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1245481Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1246027Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1246551Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1247404Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1247968Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1248532Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1249083Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1249652Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1250218Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1250784Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1251330Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1251887Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1252444Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1253008Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1253586Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1254161Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1254751Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1255330Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1255888Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1256442Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1257000Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1257525Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1258014Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1258441Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1258886Z Functionalize: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_0.cpp:19962 [kernel] 2022-12-01T10:55:03.1259298Z Named: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:11 [kernel] 2022-12-01T10:55:03.1259726Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1260108Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1260502Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1260921Z ADInplaceOrView: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/ADInplaceOrViewType_0.cpp:4822 [kernel] 2022-12-01T10:55:03.1261349Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1261752Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1262190Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1262602Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1263012Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1263407Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1263801Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1264201Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1264602Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1264997Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1265407Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1265818Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1266248Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1266671Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1267099Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1267539Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1267946Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:03.1268321Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1268765Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1269205Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1269685Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1270114Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1270577Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1271016Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1271457Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1271903Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1272352Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1272583Z 2022-12-01T10:55:03.1272588Z 2022-12-01T10:55:03.1272724Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1272891Z 2022-12-01T10:55:03.1272984Z Traceback (most recent call last): 2022-12-01T10:55:03.1273337Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1273623Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1273921Z RuntimeError: mv: expected self.size(-1) == vec.size(-1) 2022-12-01T10:55:03.1274072Z 2022-12-01T10:55:03.1274195Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1274365Z 2022-12-01T10:55:03.1274457Z Traceback (most recent call last): 2022-12-01T10:55:03.1274738Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1275017Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1275238Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1275381Z 2022-12-01T10:55:03.1275453Z from user code: 2022-12-01T10:55:03.1275684Z File "test_sparse.py", line 2400, in 2022-12-01T10:55:03.1275894Z res = x.matmul(t) 2022-12-01T10:55:03.1276003Z 2022-12-01T10:55:03.1276133Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1276350Z ========== 2022-12-01T10:55:03.1276497Z ok (0.217s) 2022-12-01T10:55:03.1276912Z test_narrow_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2159 2022-12-01T10:55:03.1277205Z due to: 2022-12-01T10:55:03.1277386Z Traceback (most recent call last): 2022-12-01T10:55:03.1277717Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1277987Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1280547Z NotImplementedError: Could not run 'aten::narrow_copy' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::narrow_copy' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCPU, SparseCsrCPU, SparseCsrCUDA, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1282278Z 2022-12-01T10:55:03.1282588Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1283036Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1283487Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1284034Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1284586Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1285116Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1285659Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1286201Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1286743Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1287528Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1288086Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1288647Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1289207Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1289758Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1290291Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1290835Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1291381Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1291936Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1292494Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1293058Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1293686Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1294246Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1294794Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1295388Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1295963Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1296527Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1297112Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1297680Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1298268Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1298847Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1299411Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1299874Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1300353Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1300917Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1301445Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1301877Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1302316Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1302772Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1303189Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1303564Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1303951Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1304346Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1304781Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1305213Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1305667Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1306087Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1306498Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1306895Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1307326Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1307733Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1308142Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1308535Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1308938Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1309349Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1309763Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1310176Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1310612Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1311044Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1311483Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1311878Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:55:03.1312268Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1312676Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1313115Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1313580Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1314019Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1314440Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1314882Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1315310Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1315767Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1316218Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1316481Z 2022-12-01T10:55:03.1316486Z 2022-12-01T10:55:03.1316622Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1316786Z 2022-12-01T10:55:03.1316865Z Traceback (most recent call last): 2022-12-01T10:55:03.1317229Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1317499Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1317796Z RuntimeError: Dimension -1 out of range. Expecting 0 <= dim < 4. 2022-12-01T10:55:03.1317953Z 2022-12-01T10:55:03.1318088Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1318281Z 2022-12-01T10:55:03.1318376Z Traceback (most recent call last): 2022-12-01T10:55:03.1318660Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1318922Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1319159Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1319302Z 2022-12-01T10:55:03.1319372Z from user code: 2022-12-01T10:55:03.1319563Z File "test_sparse.py", line 2159, in 2022-12-01T10:55:03.1319911Z self.assertRaises(RuntimeError, lambda: input.narrow_copy(-1, 0, 3)) # dim < 0 2022-12-01T10:55:03.1320088Z 2022-12-01T10:55:03.1320218Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1320437Z ========== 2022-12-01T10:55:03.1320740Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2160 2022-12-01T10:55:03.1320981Z due to: 2022-12-01T10:55:03.1321162Z Traceback (most recent call last): 2022-12-01T10:55:03.1321485Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1321753Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1324317Z NotImplementedError: Could not run 'aten::narrow_copy' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::narrow_copy' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCPU, SparseCsrCPU, SparseCsrCUDA, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1326016Z 2022-12-01T10:55:03.1326291Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1326735Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1327216Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1327495Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1327763Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1328104Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1328377Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1328638Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1328933Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1329206Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1329484Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1329751Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1349909Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1350220Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1350502Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1350773Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1351041Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1351325Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1351603Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1351881Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1352162Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1352442Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1352711Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1352985Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1353260Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1353540Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1353829Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1354118Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1354489Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1354771Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1355047Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1355286Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1355565Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1355828Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1356066Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1356272Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1356503Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1356719Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1356910Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1357098Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1357296Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1357491Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1357720Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1357912Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1358119Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1358321Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1358522Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1358719Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1358919Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1359118Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1359313Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1359504Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1359700Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1359920Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1360121Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1360335Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1360546Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1360793Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1361007Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1361190Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:55:03.1361385Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1361579Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1361807Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1362031Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1362224Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1362436Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1362648Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1362861Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1363089Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1363300Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1363307Z 2022-12-01T10:55:03.1363313Z 2022-12-01T10:55:03.1363453Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1363458Z 2022-12-01T10:55:03.1363552Z Traceback (most recent call last): 2022-12-01T10:55:03.1363811Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1363914Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1364027Z RuntimeError: Dimension 10 out of range. Expecting 0 <= dim < 4. 2022-12-01T10:55:03.1364033Z 2022-12-01T10:55:03.1364172Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1364177Z 2022-12-01T10:55:03.1364271Z Traceback (most recent call last): 2022-12-01T10:55:03.1364430Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1364527Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1364641Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1364646Z 2022-12-01T10:55:03.1364719Z from user code: 2022-12-01T10:55:03.1364828Z File "test_sparse.py", line 2160, in 2022-12-01T10:55:03.1364976Z self.assertRaises(RuntimeError, lambda: input.narrow_copy(10, 0, 3)) # dim > input.dim() 2022-12-01T10:55:03.1364981Z 2022-12-01T10:55:03.1365114Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1365211Z ========== 2022-12-01T10:55:03.1365439Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2161 2022-12-01T10:55:03.1365504Z due to: 2022-12-01T10:55:03.1365595Z Traceback (most recent call last): 2022-12-01T10:55:03.1365810Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1365894Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1368666Z NotImplementedError: Could not run 'aten::narrow_copy' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::narrow_copy' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCPU, SparseCsrCPU, SparseCsrCUDA, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1368681Z 2022-12-01T10:55:03.1368964Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1369139Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1369408Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1369676Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1369944Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1370194Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1370453Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1370709Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1370977Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1371246Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1371525Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1371802Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1372075Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1372377Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1372639Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1372905Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1373185Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1373465Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1373742Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1374022Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1374299Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1374572Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1374849Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1375121Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1375397Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1375675Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1375967Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1376258Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1376527Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1376810Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1377082Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1377269Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1377545Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1377819Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1378056Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1378280Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1378507Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1378721Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1378897Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1379108Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1379299Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1379491Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1379716Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1379919Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1380119Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1380319Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1380519Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1380717Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1380903Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1381104Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1381295Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1381486Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1381680Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1381881Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1382080Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1382295Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1382504Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1382713Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1382915Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1383096Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:55:03.1383287Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1383482Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1383740Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1383974Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1384168Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1384378Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1384612Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1384826Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1385045Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1385254Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1385260Z 2022-12-01T10:55:03.1385264Z 2022-12-01T10:55:03.1385402Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1385407Z 2022-12-01T10:55:03.1385501Z Traceback (most recent call last): 2022-12-01T10:55:03.1385736Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1385838Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1386007Z RuntimeError: Invalid range to narrow. range(start, start+length) must be a subset of range(0, 3). 2022-12-01T10:55:03.1386012Z 2022-12-01T10:55:03.1386149Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1386156Z 2022-12-01T10:55:03.1386246Z Traceback (most recent call last): 2022-12-01T10:55:03.1386403Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1386485Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1386593Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1386598Z 2022-12-01T10:55:03.1386666Z from user code: 2022-12-01T10:55:03.1386769Z File "test_sparse.py", line 2161, in 2022-12-01T10:55:03.1386943Z self.assertRaises(RuntimeError, lambda: input.narrow_copy(0, shape[0] + 1, 3)) # start > size of dim 2022-12-01T10:55:03.1386949Z 2022-12-01T10:55:03.1387083Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1387148Z ========== 2022-12-01T10:55:03.1387376Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2162 2022-12-01T10:55:03.1387428Z due to: 2022-12-01T10:55:03.1387521Z Traceback (most recent call last): 2022-12-01T10:55:03.1387741Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1387839Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1390249Z NotImplementedError: Could not run 'aten::narrow_copy' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::narrow_copy' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCPU, SparseCsrCPU, SparseCsrCUDA, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1390297Z 2022-12-01T10:55:03.1390561Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1390754Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1391019Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1391284Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1391548Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1391806Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1392166Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1392469Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1392733Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1393002Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1393262Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1393539Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1393814Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1394082Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1394344Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1394610Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1394874Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1395151Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1395428Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1395703Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1396010Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1396288Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1396550Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1396859Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1397132Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1397403Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1397694Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1397983Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1398267Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1398548Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1398820Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1399009Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1399285Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1399544Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1399780Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1399982Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1400208Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1400421Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1400612Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1400796Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1400982Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1401171Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1401396Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1401589Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1401815Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1402011Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1402207Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1402401Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1402616Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1402811Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1403001Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1403190Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1403386Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1403571Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1403769Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1403983Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1404195Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1404408Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1404621Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1404798Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:55:03.1404994Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1405188Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1405419Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1405641Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1405835Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1406044Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1406253Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1406467Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1406696Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1407103Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1407166Z 2022-12-01T10:55:03.1407170Z 2022-12-01T10:55:03.1407317Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1407322Z 2022-12-01T10:55:03.1407414Z Traceback (most recent call last): 2022-12-01T10:55:03.1407658Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1407761Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1407914Z RuntimeError: Invalid range to narrow. range(start, start+length) must be a subset of range(0, 3). 2022-12-01T10:55:03.1407919Z 2022-12-01T10:55:03.1408055Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1408060Z 2022-12-01T10:55:03.1408189Z Traceback (most recent call last): 2022-12-01T10:55:03.1408352Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1408452Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1408565Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1408572Z 2022-12-01T10:55:03.1408641Z from user code: 2022-12-01T10:55:03.1408745Z File "test_sparse.py", line 2162, in 2022-12-01T10:55:03.1408911Z self.assertRaises(RuntimeError, lambda: input.narrow_copy(0, 2, shape[0])) # start+length > size of dim 2022-12-01T10:55:03.1408916Z 2022-12-01T10:55:03.1409047Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1409110Z ========== 2022-12-01T10:55:03.1409336Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2168 2022-12-01T10:55:03.1409399Z due to: 2022-12-01T10:55:03.1409489Z Traceback (most recent call last): 2022-12-01T10:55:03.1409708Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1409792Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1412231Z NotImplementedError: Could not run 'aten::narrow_copy' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::narrow_copy' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCPU, SparseCsrCPU, SparseCsrCUDA, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1412242Z 2022-12-01T10:55:03.1412521Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1412690Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1412957Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1413225Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1413493Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1413769Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1414028Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1414282Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1414568Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1414834Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1415107Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1415384Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1415652Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1415915Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1416179Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1416443Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1416699Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1416977Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1417252Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1417525Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1417799Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1418073Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1418347Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1418618Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1418889Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1419162Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1419448Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1419763Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1420034Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1420310Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1420581Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1420791Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1421067Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1421339Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1421574Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1421773Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1422002Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1422217Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1422405Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1422578Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1422766Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1422957Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1423181Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1423383Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1423585Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1423779Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1423983Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1424178Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1424362Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1424562Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1424756Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1424944Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1425136Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1425360Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1425558Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1425769Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1425976Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1426206Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1426419Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:55:03.1426588Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:55:03.1426783Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1426974Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1427202Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1427437Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1427631Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1427841Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1428049Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1428261Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1428478Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1428688Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1428693Z 2022-12-01T10:55:03.1428712Z 2022-12-01T10:55:03.1428835Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1428841Z 2022-12-01T10:55:03.1428931Z Traceback (most recent call last): 2022-12-01T10:55:03.1429153Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1429252Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1429376Z RuntimeError: Dimension 10 out of range. Expecting 0 <= dim < 4. 2022-12-01T10:55:03.1429382Z 2022-12-01T10:55:03.1429515Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1429520Z 2022-12-01T10:55:03.1429608Z Traceback (most recent call last): 2022-12-01T10:55:03.1429763Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1429846Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1429951Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1429956Z 2022-12-01T10:55:03.1430025Z from user code: 2022-12-01T10:55:03.1430127Z File "test_sparse.py", line 2168, in 2022-12-01T10:55:03.1430300Z self.assertRaises(RuntimeError, lambda: with_dense.narrow_copy(10, 0, 3)) # dim > sparseDim + denseDim 2022-12-01T10:55:03.1430306Z 2022-12-01T10:55:03.1430465Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1430527Z ========== 2022-12-01T10:55:03.1430593Z ok (0.361s) 2022-12-01T10:55:03.1430707Z test_narrow_cpu_float64 (__main__.TestSparseCPU) ... ok (0.055s) 2022-12-01T10:55:03.1431049Z test_neg_negative_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_neg_negative test_sparse.py line 2266 2022-12-01T10:55:03.1431112Z due to: 2022-12-01T10:55:03.1431201Z Traceback (most recent call last): 2022-12-01T10:55:03.1431358Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1431463Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1431944Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1431951Z 2022-12-01T10:55:03.1432085Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1432090Z 2022-12-01T10:55:03.1432167Z Traceback (most recent call last): 2022-12-01T10:55:03.1432322Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1432417Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1432523Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1432528Z 2022-12-01T10:55:03.1432593Z from user code: 2022-12-01T10:55:03.1432703Z File "test_sparse.py", line 2276, in test_neg_negative 2022-12-01T10:55:03.1432766Z device=device 2022-12-01T10:55:03.1432772Z 2022-12-01T10:55:03.1432897Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1432947Z ========== 2022-12-01T10:55:03.1433014Z ok (0.108s) 2022-12-01T10:55:03.1433147Z test_neg_negative_cpu_float64 (__main__.TestSparseCPU) ... ok (0.099s) 2022-12-01T10:55:03.1433273Z test_new_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.012s) 2022-12-01T10:55:03.1433398Z test_new_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s) 2022-12-01T10:55:03.1433560Z test_new_device_multi_gpu_cpu (__main__.TestSparseCPU) ... skip: only one GPU detected (0.000s) 2022-12-01T10:55:03.1433719Z test_new_device_single_gpu_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:03.1433845Z test_norm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.100s) 2022-12-01T10:55:03.1433957Z test_norm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.076s) 2022-12-01T10:55:03.1434085Z test_permute_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.507s) 2022-12-01T10:55:03.1434208Z test_permute_cpu_float64 (__main__.TestSparseCPU) ... ok (0.273s) 2022-12-01T10:55:03.1434330Z test_pickle_cpu_float64 (__main__.TestSparseCPU) ... ok (0.040s) 2022-12-01T10:55:03.1434457Z test_print_coalesced_cpu_float64 (__main__.TestSparseCPU) ... ok (0.069s) 2022-12-01T10:55:03.1434594Z test_print_uncoalesced_cpu_float64 (__main__.TestSparseCPU) ... ok (0.012s) 2022-12-01T10:55:03.1434713Z test_resize_as_cpu (__main__.TestSparseCPU) ... ok (0.069s) 2022-12-01T10:55:03.1435044Z test_resize_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_resize_shape test_sparse.py line 2875 2022-12-01T10:55:03.1435097Z due to: 2022-12-01T10:55:03.1435189Z Traceback (most recent call last): 2022-12-01T10:55:03.1435342Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1435448Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1435861Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1435867Z 2022-12-01T10:55:03.1436001Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1436006Z 2022-12-01T10:55:03.1436095Z Traceback (most recent call last): 2022-12-01T10:55:03.1436284Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1436368Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1436474Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1436479Z 2022-12-01T10:55:03.1436547Z from user code: 2022-12-01T10:55:03.1436662Z File "test_sparse.py", line 2880, in _test_resize_shape 2022-12-01T10:55:03.1436771Z torch.Size(x_size), dtype=dtype, device=device) 2022-12-01T10:55:03.1436776Z 2022-12-01T10:55:03.1436905Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1436966Z ========== 2022-12-01T10:55:03.1437032Z ok (0.043s) 2022-12-01T10:55:03.1437183Z test_resize_cpu_float64 (__main__.TestSparseCPU) ... ok (0.025s) 2022-12-01T10:55:03.1437524Z test_saddmm_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1379 2022-12-01T10:55:03.1437585Z due to: 2022-12-01T10:55:03.1437673Z Traceback (most recent call last): 2022-12-01T10:55:03.1437886Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1437982Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1439791Z NotImplementedError: Could not run 'aten::sspaddmm.out' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::sspaddmm.out' is only available for these backends: [CPU, SparseCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1439801Z 2022-12-01T10:55:03.1439969Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1440157Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1440396Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1440596Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1440823Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1441016Z Functionalize: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_1.cpp:21945 [kernel] 2022-12-01T10:55:03.1441204Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1441391Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1441578Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1441769Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1441978Z ADInplaceOrView: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp:5089 [kernel] 2022-12-01T10:55:03.1442181Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1442412Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1442608Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1442806Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1442993Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1443219Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1443412Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1443607Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1443801Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1443995Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1444195Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1444390Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1444603Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1444807Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1445006Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1445218Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:03.1445395Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:55:03.1445589Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1445784Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1446013Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1446248Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1446441Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1446646Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1446856Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1447270Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1447505Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1447715Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1447779Z 2022-12-01T10:55:03.1447784Z 2022-12-01T10:55:03.1447922Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1447927Z 2022-12-01T10:55:03.1448017Z Traceback (most recent call last): 2022-12-01T10:55:03.1448247Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1448346Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1448477Z RuntimeError: sspaddmm: Argument #1: Expected dim 0 size 7, got 0 2022-12-01T10:55:03.1448482Z 2022-12-01T10:55:03.1448620Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1448625Z 2022-12-01T10:55:03.1448752Z Traceback (most recent call last): 2022-12-01T10:55:03.1448897Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1448995Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1449104Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1449111Z 2022-12-01T10:55:03.1449180Z from user code: 2022-12-01T10:55:03.1449306Z File "test_sparse.py", line 1381, in 2022-12-01T10:55:03.1449385Z res = torch.smm(x, y) 2022-12-01T10:55:03.1449390Z 2022-12-01T10:55:03.1449519Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1449581Z ========== 2022-12-01T10:55:03.1449635Z ok (0.735s) 2022-12-01T10:55:03.1449763Z test_saddmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.071s) 2022-12-01T10:55:03.1449907Z test_same_gpu_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:55:03.1450252Z test_scalar_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 430 2022-12-01T10:55:03.1450316Z due to: 2022-12-01T10:55:03.1450405Z Traceback (most recent call last): 2022-12-01T10:55:03.1450561Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.1450804Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.1451015Z AssertionError: torch.* op returned non-Tensor bool call_method is_coalesced 2022-12-01T10:55:03.1451020Z 2022-12-01T10:55:03.1451090Z from user code: 2022-12-01T10:55:03.1451214Z File "test_sparse.py", line 432, in 2022-12-01T10:55:03.1451324Z self.assertTrue(a_coalesced.is_coalesced()) 2022-12-01T10:55:03.1451329Z 2022-12-01T10:55:03.1451457Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1451519Z ========== 2022-12-01T10:55:03.1451583Z ok (0.052s) 2022-12-01T10:55:03.1451698Z test_scalar_cpu_float64 (__main__.TestSparseCPU) ... ok (0.029s) 2022-12-01T10:55:03.1451826Z test_select_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.471s) 2022-12-01T10:55:03.1451949Z test_select_cpu_float64 (__main__.TestSparseCPU) ... ok (0.199s) 2022-12-01T10:55:03.1452318Z test_select_no_type_promotion_cpu_int16 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_select_no_type_promotion test_sparse.py line 1058 2022-12-01T10:55:03.1452381Z due to: 2022-12-01T10:55:03.1452471Z Traceback (most recent call last): 2022-12-01T10:55:03.1452630Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1452735Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1453142Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1453161Z 2022-12-01T10:55:03.1453284Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1453289Z 2022-12-01T10:55:03.1453380Z Traceback (most recent call last): 2022-12-01T10:55:03.1453534Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1453662Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1453766Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1453771Z 2022-12-01T10:55:03.1453839Z from user code: 2022-12-01T10:55:03.1453965Z File "test_sparse.py", line 1063, in test_select_no_type_promotion 2022-12-01T10:55:03.1454076Z s = torch.sparse_coo_tensor(idx, val, size=(3, 3)) 2022-12-01T10:55:03.1454081Z 2022-12-01T10:55:03.1454200Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1454261Z ========== 2022-12-01T10:55:03.1454325Z ok (0.010s) 2022-12-01T10:55:03.1454503Z test_select_no_type_promotion_cpu_int32 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1454767Z test_select_no_type_promotion_cpu_int64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1454991Z test_select_no_type_promotion_cpu_int8 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1455212Z test_select_no_type_promotion_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.002s) 2022-12-01T10:55:03.1455801Z test_shared_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 457 2022-12-01T10:55:03.1455897Z due to: 2022-12-01T10:55:03.1456055Z Traceback (most recent call last): 2022-12-01T10:55:03.1456316Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1456495Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1457243Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1457254Z 2022-12-01T10:55:03.1457488Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1457495Z 2022-12-01T10:55:03.1457648Z Traceback (most recent call last): 2022-12-01T10:55:03.1457920Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1458068Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1458247Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1458255Z 2022-12-01T10:55:03.1458362Z from user code: 2022-12-01T10:55:03.1458576Z File "test_sparse.py", line 459, in 2022-12-01T10:55:03.1458767Z x = self.sparse_tensor(i, v, torch.Size([3])) 2022-12-01T10:55:03.1458774Z 2022-12-01T10:55:03.1458988Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1459095Z ========== 2022-12-01T10:55:03.1459203Z ok (0.018s) 2022-12-01T10:55:03.1459415Z test_shared_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s) 2022-12-01T10:55:03.1460061Z test_small_nnz_coalesced_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_small_nnz_coalesced test_sparse.py line 3810 2022-12-01T10:55:03.1460180Z due to: 2022-12-01T10:55:03.1460344Z Traceback (most recent call last): 2022-12-01T10:55:03.1460745Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:03.1460983Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:03.1461212Z NotImplementedError: Cannot access storage of SparseTensorImpl 2022-12-01T10:55:03.1461221Z 2022-12-01T10:55:03.1461453Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1461461Z 2022-12-01T10:55:03.1461592Z Traceback (most recent call last): 2022-12-01T10:55:03.1461814Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1461916Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1462026Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1462031Z 2022-12-01T10:55:03.1462101Z from user code: 2022-12-01T10:55:03.1462223Z File "test_sparse.py", line 3812, in test_small_nnz_coalesced 2022-12-01T10:55:03.1462446Z self.assertTrue(torch.sparse_coo_tensor([[], []], [], (2, 2)).is_coalesced()) 2022-12-01T10:55:03.1462452Z 2022-12-01T10:55:03.1462586Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1462638Z ========== 2022-12-01T10:55:03.1462706Z ok (0.010s) 2022-12-01T10:55:03.1462911Z test_softmax_cpu_float64 (__main__.TestSparseCPU) ... skip: https://github.com/pytorch/torchdynamo/issues/1166 (0.014s) 2022-12-01T10:55:03.1463269Z test_softmax_zero_nnz_cpu_float64 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_softmax_zero_nnz test_sparse.py line 3405 2022-12-01T10:55:03.1463333Z due to: 2022-12-01T10:55:03.1463423Z Traceback (most recent call last): 2022-12-01T10:55:03.1463681Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:03.1463832Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:03.1463956Z NotImplementedError: Cannot access storage of SparseTensorImpl 2022-12-01T10:55:03.1463965Z 2022-12-01T10:55:03.1464102Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1464107Z 2022-12-01T10:55:03.1464198Z Traceback (most recent call last): 2022-12-01T10:55:03.1464356Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1464453Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1464561Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1464565Z 2022-12-01T10:55:03.1464634Z from user code: 2022-12-01T10:55:03.1464751Z File "test_sparse.py", line 3407, in test_softmax_zero_nnz 2022-12-01T10:55:03.1464872Z t = torch.sparse_coo_tensor([[]], [], (3,), device=device, dtype=dtype) 2022-12-01T10:55:03.1464890Z 2022-12-01T10:55:03.1465008Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1465072Z ========== 2022-12-01T10:55:03.1465138Z ok (0.010s) 2022-12-01T10:55:03.1465485Z test_spadd_cpu_float64 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1584 2022-12-01T10:55:03.1465552Z due to: 2022-12-01T10:55:03.1465640Z Traceback (most recent call last): 2022-12-01T10:55:03.1465797Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1465894Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1466312Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1466318Z 2022-12-01T10:55:03.1466452Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1466458Z 2022-12-01T10:55:03.1466547Z Traceback (most recent call last): 2022-12-01T10:55:03.1466703Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1466799Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1466904Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1466909Z 2022-12-01T10:55:03.1466977Z from user code: 2022-12-01T10:55:03.1467109Z File "test_sparse.py", line 1588, in 2022-12-01T10:55:03.1467251Z x_ = self.sparse_tensor(i[:, ::2], v[:(nnz + 1) // 2], x.shape, dtype=dtype, device=device) 2022-12-01T10:55:03.1467256Z 2022-12-01T10:55:03.1467387Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1467448Z ========== 2022-12-01T10:55:03.1467515Z ok (0.772s) 2022-12-01T10:55:03.1467902Z test_sparse_add_coalesce_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 2422 2022-12-01T10:55:03.1467970Z due to: 2022-12-01T10:55:03.1468059Z Traceback (most recent call last): 2022-12-01T10:55:03.1468216Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1468346Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1468757Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1468763Z 2022-12-01T10:55:03.1468896Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1468901Z 2022-12-01T10:55:03.1468988Z Traceback (most recent call last): 2022-12-01T10:55:03.1469142Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1469272Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1469381Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1469386Z 2022-12-01T10:55:03.1469457Z from user code: 2022-12-01T10:55:03.1469585Z File "test_sparse.py", line 2424, in 2022-12-01T10:55:03.1469697Z x = self.sparse_tensor(i, v, torch.Size([3])) 2022-12-01T10:55:03.1469702Z 2022-12-01T10:55:03.1469829Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1469892Z ========== 2022-12-01T10:55:03.1469956Z ok (0.018s) 2022-12-01T10:55:03.1470103Z test_sparse_add_coalesce_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.006s) 2022-12-01T10:55:03.1470246Z test_sparse_add_coalesce_cpu_float32 (__main__.TestSparseCPU) ... ok (0.006s) 2022-12-01T10:55:03.1470386Z test_sparse_add_coalesce_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s) 2022-12-01T10:55:03.1470547Z test_sparse_add_out_bfloat16_cpu_complex128 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:03.1470718Z test_sparse_add_out_bfloat16_cpu_float64 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:03.1470921Z test_sparse_addmm_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s) 2022-12-01T10:55:03.1471125Z test_sparse_addmm_cpu_complex128 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s) 2022-12-01T10:55:03.1471321Z test_sparse_addmm_cpu_float64 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s) 2022-12-01T10:55:03.1471457Z test_sparse_bool_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.022s) 2022-12-01T10:55:03.1471587Z test_sparse_bool_cpu_float64 (__main__.TestSparseCPU) ... ok (0.020s) 2022-12-01T10:55:03.1471734Z test_sparse_broadcast_to_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.142s) 2022-12-01T10:55:03.1471871Z test_sparse_broadcast_to_cpu_float64 (__main__.TestSparseCPU) ... ok (0.077s) 2022-12-01T10:55:03.1472084Z test_sparse_dense_mul_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.bfloat16, device=cpu runs only with coalesced inputs (0.840s) 2022-12-01T10:55:03.1472216Z test_sparse_dense_mul_cpu_bool (__main__.TestSparseCPU) ... ok (0.268s) 2022-12-01T10:55:03.1472357Z test_sparse_dense_mul_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.198s) 2022-12-01T10:55:03.1472493Z test_sparse_dense_mul_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.199s) 2022-12-01T10:55:03.1472710Z test_sparse_dense_mul_cpu_float16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.float16, device=cpu runs only with coalesced inputs (0.059s) 2022-12-01T10:55:03.1472845Z test_sparse_dense_mul_cpu_float32 (__main__.TestSparseCPU) ... ok (0.123s) 2022-12-01T10:55:03.1472979Z test_sparse_dense_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.120s) 2022-12-01T10:55:03.1473113Z test_sparse_dense_mul_cpu_int16 (__main__.TestSparseCPU) ... ok (0.090s) 2022-12-01T10:55:03.1473246Z test_sparse_dense_mul_cpu_int32 (__main__.TestSparseCPU) ... ok (0.108s) 2022-12-01T10:55:03.1473362Z test_sparse_dense_mul_cpu_int64 (__main__.TestSparseCPU) ... ok (0.092s) 2022-12-01T10:55:03.1473493Z test_sparse_dense_mul_cpu_int8 (__main__.TestSparseCPU) ... ok (0.090s) 2022-12-01T10:55:03.1473657Z test_sparse_dense_mul_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.090s) 2022-12-01T10:55:03.1474027Z test_sparse_mask_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1897 2022-12-01T10:55:03.1474091Z due to: 2022-12-01T10:55:03.1474181Z Traceback (most recent call last): 2022-12-01T10:55:03.1474340Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1474448Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1474881Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1474899Z 2022-12-01T10:55:03.1475021Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1475027Z 2022-12-01T10:55:03.1475116Z Traceback (most recent call last): 2022-12-01T10:55:03.1475271Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1475364Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1475471Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1475476Z 2022-12-01T10:55:03.1475545Z from user code: 2022-12-01T10:55:03.1475683Z File "test_sparse.py", line 1899, in 2022-12-01T10:55:03.1475834Z x = self.sparse_tensor(i, v, torch.Size([5, 4]), dtype=dtype, device=device).coalesce() 2022-12-01T10:55:03.1475839Z 2022-12-01T10:55:03.1475956Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1476021Z ========== 2022-12-01T10:55:03.1476085Z ok (0.056s) 2022-12-01T10:55:03.1476215Z test_sparse_mask_cpu_float64 (__main__.TestSparseCPU) ... ok (0.028s) 2022-12-01T10:55:03.1476607Z test_sparse_mask_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1941 2022-12-01T10:55:03.1476670Z due to: 2022-12-01T10:55:03.1476758Z Traceback (most recent call last): 2022-12-01T10:55:03.1476902Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1477008Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1477419Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1477424Z 2022-12-01T10:55:03.1477560Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1477565Z 2022-12-01T10:55:03.1477654Z Traceback (most recent call last): 2022-12-01T10:55:03.1477809Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1477904Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1478009Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1478014Z 2022-12-01T10:55:03.1478081Z from user code: 2022-12-01T10:55:03.1478217Z File "test_sparse.py", line 1947, in 2022-12-01T10:55:03.1478340Z x = self.sparse_tensor(i, v, torch.Size([5, 4, 2])).coalesce() 2022-12-01T10:55:03.1478345Z 2022-12-01T10:55:03.1478473Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1478535Z ========== 2022-12-01T10:55:03.1478600Z ok (0.061s) 2022-12-01T10:55:03.1478738Z test_sparse_mask_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.037s) 2022-12-01T10:55:03.1478862Z test_sparse_matmul_cpu_complex128 (__main__.TestSparseCPU) 2022-12-01T10:55:03.1479238Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 3489 2022-12-01T10:55:03.1479326Z due to: 2022-12-01T10:55:03.1479417Z Traceback (most recent call last): 2022-12-01T10:55:03.1479631Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1479723Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1481592Z NotImplementedError: Could not run 'aten::_sparse_sparse_matmul' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_sparse_sparse_matmul' is only available for these backends: [SparseCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1481603Z 2022-12-01T10:55:03.1481795Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1482033Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1482231Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1482457Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1482669Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1482858Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1483043Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1483229Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1483407Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1483638Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1483840Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1484036Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1484237Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1484431Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1484620Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1484812Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1484999Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1485183Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1485401Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1485590Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1485782Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1485972Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1486210Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1486412Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1486605Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1486814Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1487198Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:55:03.1487391Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1487572Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1487799Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1488024Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1488215Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1488419Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1488635Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1488849Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1489083Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1489296Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1489301Z 2022-12-01T10:55:03.1489305Z 2022-12-01T10:55:03.1489448Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1489453Z 2022-12-01T10:55:03.1489545Z Traceback (most recent call last): 2022-12-01T10:55:03.1489760Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1489859Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1490089Z RuntimeError: Expected mat1_.dim() == 2 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) 2022-12-01T10:55:03.1490094Z 2022-12-01T10:55:03.1490232Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1490237Z 2022-12-01T10:55:03.1490330Z Traceback (most recent call last): 2022-12-01T10:55:03.1490486Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1490581Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1490688Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1490755Z 2022-12-01T10:55:03.1490813Z from user code: 2022-12-01T10:55:03.1490932Z File "test_sparse.py", line 3490, in 2022-12-01T10:55:03.1491019Z r2 = torch.sparse.mm(a, b) 2022-12-01T10:55:03.1491023Z 2022-12-01T10:55:03.1491157Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1491224Z ========== 2022-12-01T10:55:03.1491492Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 3502 2022-12-01T10:55:03.1491559Z due to: 2022-12-01T10:55:03.1491652Z Traceback (most recent call last): 2022-12-01T10:55:03.1491856Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1491994Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1493854Z NotImplementedError: Could not run 'aten::_sparse_sparse_matmul' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_sparse_sparse_matmul' is only available for these backends: [SparseCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1493876Z 2022-12-01T10:55:03.1494064Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:03.1494287Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1494487Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1494713Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1494923Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1495110Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1495299Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1495486Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1495680Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1495905Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1496107Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1496295Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1496497Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1496698Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1496894Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1497128Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1497321Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1497512Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1497705Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1497932Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1498135Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1498324Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1498537Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1498744Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1498946Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1499160Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1499336Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:55:03.1499522Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1499718Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1499947Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1500174Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1500357Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1500567Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1500772Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1500981Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1501202Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1501407Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1501413Z 2022-12-01T10:55:03.1501417Z 2022-12-01T10:55:03.1501549Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1501555Z 2022-12-01T10:55:03.1501639Z Traceback (most recent call last): 2022-12-01T10:55:03.1501856Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1501949Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1502066Z RuntimeError: mat1 dtype Double does not match mat2 dtype Float 2022-12-01T10:55:03.1502071Z 2022-12-01T10:55:03.1502234Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1502239Z 2022-12-01T10:55:03.1502324Z Traceback (most recent call last): 2022-12-01T10:55:03.1502474Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1502562Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1502665Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1502669Z 2022-12-01T10:55:03.1502733Z from user code: 2022-12-01T10:55:03.1502858Z File "test_sparse.py", line 3503, in 2022-12-01T10:55:03.1502977Z r2 = torch.sparse.mm(a.to(torch.float64), a.to(torch.float32)) 2022-12-01T10:55:03.1502983Z 2022-12-01T10:55:03.1503139Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1503198Z ========== 2022-12-01T10:55:03.1503257Z ok (3.974s) 2022-12-01T10:55:03.1503378Z test_sparse_matmul_cpu_complex64 (__main__.TestSparseCPU) 2022-12-01T10:55:03.1503540Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (0.309s) 2022-12-01T10:55:03.1503659Z test_sparse_matmul_cpu_float32 (__main__.TestSparseCPU) 2022-12-01T10:55:03.1503817Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (0.249s) 2022-12-01T10:55:03.1503925Z test_sparse_matmul_cpu_float64 (__main__.TestSparseCPU) 2022-12-01T10:55:03.1504077Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (1.042s) 2022-12-01T10:55:03.1504203Z test_sparse_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.193s) 2022-12-01T10:55:03.1504326Z test_sparse_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.039s) 2022-12-01T10:55:03.1504549Z test_sparse_sparse_mul_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.bfloat16, device=cpu runs only with coalesced inputs (0.334s) 2022-12-01T10:55:03.1504685Z test_sparse_sparse_mul_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.035s) 2022-12-01T10:55:03.1504820Z test_sparse_sparse_mul_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.034s) 2022-12-01T10:55:03.1504952Z test_sparse_sparse_mul_cpu_float32 (__main__.TestSparseCPU) ... ok (0.030s) 2022-12-01T10:55:03.1505075Z test_sparse_sparse_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.030s) 2022-12-01T10:55:03.1505201Z test_sparse_sparse_mul_cpu_int16 (__main__.TestSparseCPU) ... ok (0.024s) 2022-12-01T10:55:03.1505327Z test_sparse_sparse_mul_cpu_int32 (__main__.TestSparseCPU) ... ok (0.024s) 2022-12-01T10:55:03.1505451Z test_sparse_sparse_mul_cpu_int64 (__main__.TestSparseCPU) ... ok (0.024s) 2022-12-01T10:55:03.1505580Z test_sparse_sparse_mul_cpu_int8 (__main__.TestSparseCPU) ... ok (0.023s) 2022-12-01T10:55:03.1505707Z test_sparse_sparse_mul_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.023s) 2022-12-01T10:55:03.1506030Z test_sparse_spdiags_cpu_bool (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT check_valid test_sparse.py line 3748 2022-12-01T10:55:03.1506092Z due to: 2022-12-01T10:55:03.1506173Z Traceback (most recent call last): 2022-12-01T10:55:03.1506340Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:55:03.1506439Z return super().call_method(tx, args, kwargs) 2022-12-01T10:55:03.1506634Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:55:03.1506639Z 2022-12-01T10:55:03.1506704Z from user code: 2022-12-01T10:55:03.1506806Z File "test_sparse.py", line 3749, in check_valid 2022-12-01T10:55:03.1506904Z ref_out = reference(diags, offsets, shape) 2022-12-01T10:55:03.1506909Z 2022-12-01T10:55:03.1507035Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1507086Z ========== 2022-12-01T10:55:03.1507313Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT reference test_sparse.py line 3732 2022-12-01T10:55:03.1507372Z due to: 2022-12-01T10:55:03.1507456Z Traceback (most recent call last): 2022-12-01T10:55:03.1507650Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:55:03.1507749Z return super().call_method(tx, args, kwargs) 2022-12-01T10:55:03.1507942Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:55:03.1507947Z 2022-12-01T10:55:03.1508010Z from user code: 2022-12-01T10:55:03.1508103Z File "test_sparse.py", line 3733, in reference 2022-12-01T10:55:03.1508231Z return scipy.sparse.spdiags(diags, offsets, *shape).toarray() 2022-12-01T10:55:03.1508236Z 2022-12-01T10:55:03.1508359Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1508419Z ========== 2022-12-01T10:55:03.1508746Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT spdiags /opt/conda/lib/python3.7/site-packages/scipy/sparse/construct.py line 25 2022-12-01T10:55:03.1508806Z due to: 2022-12-01T10:55:03.1508889Z Traceback (most recent call last): 2022-12-01T10:55:03.1509045Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:55:03.1509145Z return super().call_method(tx, args, kwargs) 2022-12-01T10:55:03.1509335Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:55:03.1509340Z 2022-12-01T10:55:03.1509403Z from user code: 2022-12-01T10:55:03.1509635Z File "/opt/conda/lib/python3.7/site-packages/scipy/sparse/construct.py", line 60, in spdiags 2022-12-01T10:55:03.1509756Z return dia_matrix((data, diags), shape=(m,n)).asformat(format) 2022-12-01T10:55:03.1509761Z 2022-12-01T10:55:03.1509883Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1509939Z ========== 2022-12-01T10:55:03.1510220Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /opt/conda/lib/python3.7/site-packages/scipy/sparse/dia.py line 89 2022-12-01T10:55:03.1510279Z due to: 2022-12-01T10:55:03.1510362Z Traceback (most recent call last): 2022-12-01T10:55:03.1510523Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:55:03.1510624Z return super().call_method(tx, args, kwargs) 2022-12-01T10:55:03.1510816Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:55:03.1510821Z 2022-12-01T10:55:03.1510883Z from user code: 2022-12-01T10:55:03.1511099Z File "/opt/conda/lib/python3.7/site-packages/scipy/sparse/dia.py", line 90, in __init__ 2022-12-01T10:55:03.1511170Z _data_matrix.__init__(self) 2022-12-01T10:55:03.1511175Z 2022-12-01T10:55:03.1511299Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1511355Z ========== 2022-12-01T10:55:03.1511746Z test_sparse.py:3750: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-12-01T10:55:03.1511877Z out = torch.sparse.spdiags(diags, offsets, shape, layout=layout) 2022-12-01T10:55:03.1511936Z ok (0.155s) 2022-12-01T10:55:03.1512071Z test_sparse_spdiags_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.053s) 2022-12-01T10:55:03.1512208Z test_sparse_spdiags_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.052s) 2022-12-01T10:55:03.1512336Z test_sparse_spdiags_cpu_float32 (__main__.TestSparseCPU) ... ok (0.047s) 2022-12-01T10:55:03.1512458Z test_sparse_spdiags_cpu_float64 (__main__.TestSparseCPU) ... ok (0.048s) 2022-12-01T10:55:03.1512584Z test_sparse_spdiags_cpu_int16 (__main__.TestSparseCPU) ... ok (0.043s) 2022-12-01T10:55:03.1512710Z test_sparse_spdiags_cpu_int32 (__main__.TestSparseCPU) ... ok (0.043s) 2022-12-01T10:55:03.1512836Z test_sparse_spdiags_cpu_int64 (__main__.TestSparseCPU) ... ok (0.043s) 2022-12-01T10:55:03.1512962Z test_sparse_spdiags_cpu_int8 (__main__.TestSparseCPU) ... ok (0.039s) 2022-12-01T10:55:03.1513086Z test_sparse_spdiags_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.039s) 2022-12-01T10:55:03.1513431Z test_sparse_sum_cpu_float64 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1721 2022-12-01T10:55:03.1513489Z due to: 2022-12-01T10:55:03.1513570Z Traceback (most recent call last): 2022-12-01T10:55:03.1513779Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1513871Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1516322Z NotImplementedError: Could not run 'aten::sum.dim_IntList' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::sum.dim_IntList' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCsrCPU, SparseCsrCUDA, NestedTensorCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1516340Z 2022-12-01T10:55:03.1516614Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1516773Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1517036Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1517300Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1517562Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1517816Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1518067Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1518316Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1518573Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1518733Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterMeta.cpp:26815 [kernel] 2022-12-01T10:55:03.1519006Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1519287Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1519549Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1519845Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1520101Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1520366Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1520670Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1520946Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1521223Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1521504Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1521781Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1522059Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1522340Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1522601Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1522878Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1523156Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1523448Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1523741Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1524023Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1524303Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1524578Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1524856Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1525132Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1525338Z NestedTensorCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterNestedTensorCPU.cpp:457 [kernel] 2022-12-01T10:55:03.1525572Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1525825Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1526052Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1526266Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1526459Z Named: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:11 [kernel] 2022-12-01T10:55:03.1526644Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1526941Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1527288Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1527516Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1527722Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1527910Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1528113Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1528314Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1528512Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1528714Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1528910Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1529105Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1529300Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1529499Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1529702Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1529888Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1530104Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1530316Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1530521Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1530725Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:17970 [kernel] 2022-12-01T10:55:03.1530906Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:55:03.1531100Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1531270Z AutocastCUDA: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:328 [kernel] 2022-12-01T10:55:03.1531526Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/BatchRulesReduceOps.cpp:371 [kernel] 2022-12-01T10:55:03.1531760Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1531931Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1068 [kernel] 2022-12-01T10:55:03.1532142Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1532391Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1532609Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1532840Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1533054Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1533060Z 2022-12-01T10:55:03.1533065Z 2022-12-01T10:55:03.1533202Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1533207Z 2022-12-01T10:55:03.1533300Z Traceback (most recent call last): 2022-12-01T10:55:03.1533534Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1533633Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1536058Z NotImplementedError: Could not run 'aten::sum.dim_IntList' with arguments from the 'SparseCPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::sum.dim_IntList' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, Meta, PrivateUse1, PrivateUse2, PrivateUse3, FPGA, ORT, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMeta, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, CustomRNGKeyId, MkldnnCPU, SparseCsrCPU, SparseCsrCUDA, NestedTensorCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1536071Z 2022-12-01T10:55:03.1536347Z Undefined: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1536515Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1536781Z CUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1537045Z HIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1537314Z MPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1537574Z IPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1537853Z XPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1538105Z HPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1538370Z VE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1538537Z Meta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterMeta.cpp:26815 [kernel] 2022-12-01T10:55:03.1538840Z PrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1539115Z PrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1539389Z PrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1539654Z FPGA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1539912Z ORT: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1540181Z Vulkan: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1540448Z Metal: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1540711Z QuantizedCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1540991Z QuantizedCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1541269Z QuantizedHIP: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1541545Z QuantizedMPS: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1541821Z QuantizedIPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1542095Z QuantizedXPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1542370Z QuantizedHPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1542642Z QuantizedVE: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1542921Z QuantizedMeta: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1543213Z QuantizedPrivateUse1: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1543498Z QuantizedPrivateUse2: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1543779Z QuantizedPrivateUse3: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1544075Z CustomRNGKeyId: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1544345Z MkldnnCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1544620Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1544922Z SparseCsrCUDA: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp:21389 [default backend kernel] 2022-12-01T10:55:03.1545131Z NestedTensorCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterNestedTensorCPU.cpp:457 [kernel] 2022-12-01T10:55:03.1545368Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1545567Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1545793Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1546008Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1546202Z Named: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:11 [kernel] 2022-12-01T10:55:03.1546375Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1546560Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1546749Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1546976Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1547180Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1547381Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1547582Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1547784Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1547981Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1548180Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1548365Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1548558Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1548750Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1548947Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1549146Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1549375Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1549587Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1549798Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1550002Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:55:03.1550236Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:17970 [kernel] 2022-12-01T10:55:03.1550405Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:55:03.1550601Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1550773Z AutocastCUDA: registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:328 [kernel] 2022-12-01T10:55:03.1550977Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/BatchRulesReduceOps.cpp:371 [kernel] 2022-12-01T10:55:03.1551211Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1551394Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1068 [kernel] 2022-12-01T10:55:03.1551606Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1551808Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1552014Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1552240Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1552440Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1552450Z 2022-12-01T10:55:03.1552455Z 2022-12-01T10:55:03.1552578Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1552583Z 2022-12-01T10:55:03.1552674Z Traceback (most recent call last): 2022-12-01T10:55:03.1552834Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1552931Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1553038Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1553043Z 2022-12-01T10:55:03.1553112Z from user code: 2022-12-01T10:55:03.1553218Z File "test_sparse.py", line 1721, in 2022-12-01T10:55:03.1553337Z self.assertRaises(RuntimeError, lambda: S.sum()) 2022-12-01T10:55:03.1553343Z 2022-12-01T10:55:03.1553463Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1553528Z ========== 2022-12-01T10:55:03.1553759Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1724 2022-12-01T10:55:03.1553827Z due to: 2022-12-01T10:55:03.1553918Z Traceback (most recent call last): 2022-12-01T10:55:03.1554136Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1554232Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1554435Z IndexError: Dimension out of range (expected to be in range of [-4, 3], but got 5) 2022-12-01T10:55:03.1554451Z 2022-12-01T10:55:03.1554511Z from user code: 2022-12-01T10:55:03.1554612Z File "test_sparse.py", line 1724, in 2022-12-01T10:55:03.1554751Z self.assertRaises(IndexError, lambda: torch.sparse.sum(S, 5)) 2022-12-01T10:55:03.1554800Z 2022-12-01T10:55:03.1554931Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1554994Z ========== 2022-12-01T10:55:03.1555216Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1727 2022-12-01T10:55:03.1555281Z due to: 2022-12-01T10:55:03.1555363Z Traceback (most recent call last): 2022-12-01T10:55:03.1555574Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1555671Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1555799Z RuntimeError: dim 0 appears multiple times in the list of dims 2022-12-01T10:55:03.1555804Z 2022-12-01T10:55:03.1555970Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1555976Z 2022-12-01T10:55:03.1556067Z Traceback (most recent call last): 2022-12-01T10:55:03.1556223Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1556322Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1556417Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1556422Z 2022-12-01T10:55:03.1556530Z from user code: 2022-12-01T10:55:03.1556634Z File "test_sparse.py", line 1727, in 2022-12-01T10:55:03.1556779Z self.assertRaises(RuntimeError, lambda: torch.sparse.sum(S, [0, 0])) 2022-12-01T10:55:03.1556784Z 2022-12-01T10:55:03.1556913Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1556978Z ========== 2022-12-01T10:55:03.1557043Z ok (0.433s) 2022-12-01T10:55:03.1557379Z test_sparse_to_numpy_cpu (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse_to_numpy test_sparse.py line 3104 2022-12-01T10:55:03.1557432Z due to: 2022-12-01T10:55:03.1557521Z Traceback (most recent call last): 2022-12-01T10:55:03.1557678Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1557783Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1558200Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1558206Z 2022-12-01T10:55:03.1558342Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1558347Z 2022-12-01T10:55:03.1558440Z Traceback (most recent call last): 2022-12-01T10:55:03.1558595Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1558677Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1558787Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1558792Z 2022-12-01T10:55:03.1558859Z from user code: 2022-12-01T10:55:03.1558979Z File "test_sparse.py", line 3107, in test_sparse_to_numpy 2022-12-01T10:55:03.1559118Z t = torch.sparse_coo_tensor(torch.tensor(([0, 0], [2, 0])), torch.tensor([1, 4])) 2022-12-01T10:55:03.1559125Z 2022-12-01T10:55:03.1559255Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1559317Z ========== 2022-12-01T10:55:03.1559382Z ok (0.011s) 2022-12-01T10:55:03.1559725Z test_sspaddmm_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 1417 2022-12-01T10:55:03.1559789Z due to: 2022-12-01T10:55:03.1559881Z Traceback (most recent call last): 2022-12-01T10:55:03.1560037Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:03.1560288Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:03.1560494Z AssertionError: torch.* op returned non-Tensor bool call_method is_coalesced 2022-12-01T10:55:03.1560500Z 2022-12-01T10:55:03.1560569Z from user code: 2022-12-01T10:55:03.1560701Z File "test_sparse.py", line 1424, in 2022-12-01T10:55:03.1560829Z self.assertTrue(weight.is_coalesced()) 2022-12-01T10:55:03.1560834Z 2022-12-01T10:55:03.1560963Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1561025Z ========== 2022-12-01T10:55:03.1561089Z ok (0.763s) 2022-12-01T10:55:03.1561221Z test_sspaddmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.122s) 2022-12-01T10:55:03.1561370Z test_storage_not_null_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:03.1561572Z test_t_empty_cpu_complex128 (__main__.TestSparseCPU) ... skip: https://github.com/pytorch/torchdynamo/issues/1166 (0.002s) 2022-12-01T10:55:03.1561805Z test_t_empty_cpu_float64 (__main__.TestSparseCPU) ... skip: https://github.com/pytorch/torchdynamo/issues/1166 (0.002s) 2022-12-01T10:55:03.1561923Z test_to_dense_cpu_bfloat16 (__main__.TestSparseCPU) ... ok (0.265s) 2022-12-01T10:55:03.1562055Z test_to_dense_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.120s) 2022-12-01T10:55:03.1562187Z test_to_dense_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.008s) 2022-12-01T10:55:03.1562312Z test_to_dense_cpu_float16 (__main__.TestSparseCPU) ... ok (0.007s) 2022-12-01T10:55:03.1562434Z test_to_dense_cpu_float32 (__main__.TestSparseCPU) ... ok (0.007s) 2022-12-01T10:55:03.1562558Z test_to_dense_cpu_float64 (__main__.TestSparseCPU) ... ok (0.012s) 2022-12-01T10:55:03.1562928Z test_to_dense_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 488 2022-12-01T10:55:03.1562993Z due to: 2022-12-01T10:55:03.1563073Z Traceback (most recent call last): 2022-12-01T10:55:03.1563230Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:03.1563337Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:03.1563758Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:03.1563766Z 2022-12-01T10:55:03.1563903Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1563909Z 2022-12-01T10:55:03.1564000Z Traceback (most recent call last): 2022-12-01T10:55:03.1564156Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1564252Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1564358Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1564363Z 2022-12-01T10:55:03.1564420Z from user code: 2022-12-01T10:55:03.1564556Z File "test_sparse.py", line 490, in 2022-12-01T10:55:03.1564667Z x = self.sparse_tensor(i, v, torch.Size([3, 4, 2])) 2022-12-01T10:55:03.1564672Z 2022-12-01T10:55:03.1564807Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1564868Z ========== 2022-12-01T10:55:03.1564934Z ok (0.161s) 2022-12-01T10:55:03.1565067Z test_to_dense_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.135s) 2022-12-01T10:55:03.1565369Z test_to_sparse_cpu_bfloat16 (__main__.TestSparseCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 417 2022-12-01T10:55:03.1565433Z due to: 2022-12-01T10:55:03.1565524Z Traceback (most recent call last): 2022-12-01T10:55:03.1565738Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1565834Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1567864Z NotImplementedError: Could not run 'aten::to_sparse' with arguments from the 'SparseMeta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse' is only available for these backends: [CPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1567938Z 2022-12-01T10:55:03.1568151Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1568352Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:55:03.1568592Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1568792Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1569020Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1569238Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1569429Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1569606Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1569797Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1569990Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1570220Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1570424Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1570624Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1570824Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1571022Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1571224Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1571421Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1571605Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1571803Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1571997Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1572190Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1572392Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1572589Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1572835Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1573038Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1573249Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1573460Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1573657Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:55:03.1573853Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1574049Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1574283Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1574517Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1574711Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1574921Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1575132Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1575346Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1575578Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1575778Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1575793Z 2022-12-01T10:55:03.1575798Z 2022-12-01T10:55:03.1575925Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:03.1575941Z 2022-12-01T10:55:03.1576024Z Traceback (most recent call last): 2022-12-01T10:55:03.1576255Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:03.1576358Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:03.1578161Z NotImplementedError: Could not run 'aten::to_sparse' with arguments from the 'SparseCPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse' is only available for these backends: [CPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:03.1578171Z 2022-12-01T10:55:03.1578344Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:03.1578544Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:55:03.1578814Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:03.1579014Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:03.1579239Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:03.1579453Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:03.1579667Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:03.1579855Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1580033Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:03.1580225Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:03.1580448Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:03.1580652Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1580850Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1581050Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1581248Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1581449Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1581645Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1581841Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1582024Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1582221Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1582417Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1582614Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1582813Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1583021Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1583223Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1583429Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1583646Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:03.1583824Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:55:03.1584041Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:03.1584238Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:03.1584469Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:03.1584706Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:03.1584929Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:03.1585140Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:03.1585348Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:03.1585564Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:03.1585792Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:03.1586001Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:03.1586006Z 2022-12-01T10:55:03.1586011Z 2022-12-01T10:55:03.1586147Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:03.1586153Z 2022-12-01T10:55:03.1586233Z Traceback (most recent call last): 2022-12-01T10:55:03.1586392Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:03.1586486Z raise TorchRuntimeError() from e 2022-12-01T10:55:03.1586591Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:03.1586598Z 2022-12-01T10:55:03.1586665Z from user code: 2022-12-01T10:55:03.1586769Z File "test_sparse.py", line 417, in 2022-12-01T10:55:03.1586898Z self.assertRaises(RuntimeError, lambda: sp.to_sparse()) 2022-12-01T10:55:03.1586903Z 2022-12-01T10:55:03.1587034Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1587086Z ========== 2022-12-01T10:55:03.1587150Z ok (0.118s) 2022-12-01T10:55:03.1587284Z test_to_sparse_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.079s) 2022-12-01T10:55:03.1587418Z test_to_sparse_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.080s) 2022-12-01T10:55:03.1587547Z test_to_sparse_cpu_float16 (__main__.TestSparseCPU) ... ok (0.080s) 2022-12-01T10:55:03.1587671Z test_to_sparse_cpu_float64 (__main__.TestSparseCPU) ... ok (0.079s) 2022-12-01T10:55:03.1587795Z test_to_sparse_cpu_int32 (__main__.TestSparseCPU) ... ok (0.066s) 2022-12-01T10:55:03.1587926Z test_transpose_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.027s) 2022-12-01T10:55:03.1588046Z test_transpose_cpu_float64 (__main__.TestSparseCPU) ... ok (0.014s) 2022-12-01T10:55:03.1588177Z test_unsqueeze_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.294s) 2022-12-01T10:55:03.1588303Z test_unsqueeze_cpu_float64 (__main__.TestSparseCPU) ... ok (0.055s) 2022-12-01T10:55:03.1588429Z test_zeros_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.341s) 2022-12-01T10:55:03.1588547Z test_zeros_cpu_float64 (__main__.TestSparseCPU) ... ok (0.147s) 2022-12-01T10:55:03.1588678Z test_zeros_like_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.583s) 2022-12-01T10:55:03.1588807Z test_zeros_like_cpu_float64 (__main__.TestSparseCPU) ... ok (0.329s) 2022-12-01T10:55:03.1588968Z test_future_empty_dim_masked_amax_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1589109Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.025s) 2022-12-01T10:55:03.1589277Z test_future_empty_dim_masked_amax_cpu_float16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1589445Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s) 2022-12-01T10:55:03.1589608Z test_future_empty_dim_masked_amax_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1589741Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s) 2022-12-01T10:55:03.1589903Z test_future_empty_dim_masked_amax_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1590045Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s) 2022-12-01T10:55:03.1590207Z test_future_empty_dim_masked_amax_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1590362Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.015s) 2022-12-01T10:55:03.1590524Z test_future_empty_dim_masked_amax_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1590658Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.015s) 2022-12-01T10:55:03.1590817Z test_future_empty_dim_masked_amax_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1590954Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.015s) 2022-12-01T10:55:03.1591115Z test_future_empty_dim_masked_amax_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1591252Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.015s) 2022-12-01T10:55:03.1591415Z test_future_empty_dim_masked_amax_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1591540Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1591708Z test_future_empty_dim_masked_amin_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1591844Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s) 2022-12-01T10:55:03.1592009Z test_future_empty_dim_masked_amin_cpu_float16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1592147Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s) 2022-12-01T10:55:03.1592310Z test_future_empty_dim_masked_amin_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1592442Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s) 2022-12-01T10:55:03.1592601Z test_future_empty_dim_masked_amin_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1592725Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s) 2022-12-01T10:55:03.1592885Z test_future_empty_dim_masked_amin_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1593019Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1593178Z test_future_empty_dim_masked_amin_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1593311Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1593470Z test_future_empty_dim_masked_amin_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1593608Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1593768Z test_future_empty_dim_masked_amin_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1593893Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1594053Z test_future_empty_dim_masked_amin_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1594186Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1594349Z test_future_empty_dim_masked_prod_cpu_bool (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1594485Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1594654Z test_future_empty_dim_masked_prod_cpu_complex128 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1594822Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1594992Z test_future_empty_dim_masked_prod_cpu_complex64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1595125Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1595280Z test_future_empty_dim_masked_prod_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1595416Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s) 2022-12-01T10:55:03.1595582Z test_future_empty_dim_masked_prod_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1595743Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s) 2022-12-01T10:55:03.1595908Z test_future_empty_dim_masked_prod_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1596038Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1596197Z test_future_empty_dim_masked_prod_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1596333Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.010s) 2022-12-01T10:55:03.1596482Z test_future_empty_dim_masked_prod_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1596618Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1596779Z test_future_empty_dim_masked_prod_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1596916Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.010s) 2022-12-01T10:55:03.1597079Z test_future_empty_dim_masked_prod_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1597217Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.011s) 2022-12-01T10:55:03.1597382Z test_future_empty_dim_masked_sum_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1597519Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-12-01T10:55:03.1597669Z test_future_empty_dim_masked_sum_cpu_bool (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1597803Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.012s) 2022-12-01T10:55:03.1597970Z test_future_empty_dim_masked_sum_cpu_complex128 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1598102Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s) 2022-12-01T10:55:03.1598269Z test_future_empty_dim_masked_sum_cpu_complex64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1598405Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s) 2022-12-01T10:55:03.1598571Z test_future_empty_dim_masked_sum_cpu_float16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1598708Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-12-01T10:55:03.1598859Z test_future_empty_dim_masked_sum_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1598994Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-12-01T10:55:03.1599156Z test_future_empty_dim_masked_sum_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1599288Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-12-01T10:55:03.1599447Z test_future_empty_dim_masked_sum_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1599583Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.012s) 2022-12-01T10:55:03.1599746Z test_future_empty_dim_masked_sum_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1599882Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s) 2022-12-01T10:55:03.1600042Z test_future_empty_dim_masked_sum_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1600196Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.012s) 2022-12-01T10:55:03.1600357Z test_future_empty_dim_masked_sum_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1600493Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s) 2022-12-01T10:55:03.1600650Z test_future_empty_dim_masked_sum_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-12-01T10:55:03.1600784Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.012s) 2022-12-01T10:55:03.1601095Z test_basic (__main__.TestSparseMeta) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_basic test_sparse.py line 4019 2022-12-01T10:55:03.1601199Z due to: 2022-12-01T10:55:03.1601292Z Traceback (most recent call last): 2022-12-01T10:55:03.1601534Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:55:03.1601621Z assert device.type != "meta" 2022-12-01T10:55:03.1601697Z AssertionError 2022-12-01T10:55:03.1601702Z 2022-12-01T10:55:03.1601771Z from user code: 2022-12-01T10:55:03.1601881Z File "test_sparse.py", line 4020, in test_basic 2022-12-01T10:55:03.1602066Z r = torch.empty(4, 4, layout=torch.sparse_coo, device='meta') 2022-12-01T10:55:03.1602071Z 2022-12-01T10:55:03.1602207Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1602258Z ========== 2022-12-01T10:55:03.1602326Z ok (0.005s) 2022-12-01T10:55:03.1602478Z test_cuda_from_cpu (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s) 2022-12-01T10:55:03.1602644Z test_cuda_sparse_cpu_dense_add (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s) 2022-12-01T10:55:03.1603026Z test_inplace_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 3914 2022-12-01T10:55:03.1603094Z due to: 2022-12-01T10:55:03.1603185Z Traceback (most recent call last): 2022-12-01T10:55:03.1603356Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 303, in var_getattr 2022-12-01T10:55:03.1603440Z if isinstance(subobj, property): 2022-12-01T10:55:03.1603642Z UnboundLocalError: local variable 'subobj' referenced before assignment 2022-12-01T10:55:03.1603647Z 2022-12-01T10:55:03.1603717Z from user code: 2022-12-01T10:55:03.1603847Z File "test_sparse.py", line 3915, in 2022-12-01T10:55:03.1603967Z sample.input = sample.input.to_sparse().coalesce() 2022-12-01T10:55:03.1603971Z 2022-12-01T10:55:03.1604101Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1604164Z ========== 2022-12-01T10:55:03.1604231Z ok (0.018s) 2022-12-01T10:55:03.1604376Z test_inplace_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1604527Z test_inplace_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1604674Z test_inplace_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1604824Z test_inplace_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.011s) 2022-12-01T10:55:03.1604974Z test_inplace_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:55:03.1605122Z test_inplace_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:55:03.1605269Z test_inplace_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.010s) 2022-12-01T10:55:03.1605414Z test_inplace_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1605563Z test_inplace_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1605715Z test_inplace_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1605866Z test_inplace_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1606017Z test_inplace_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1606199Z test_inplace_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1606345Z test_inplace_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1606487Z test_inplace_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1606633Z test_inplace_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1606770Z test_inplace_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1607185Z test_inplace_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1607350Z test_inplace_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1607503Z test_inplace_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1607652Z test_inplace_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1607805Z test_inplace_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1607955Z test_inplace_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1608102Z test_inplace_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1608237Z test_inplace_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1608386Z test_inplace_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1608544Z test_inplace_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1608702Z test_inplace_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1608858Z test_inplace_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1609009Z test_inplace_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1609161Z test_inplace_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1609309Z test_inplace_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1609451Z test_inplace_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1609586Z test_inplace_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1609735Z test_inplace_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1609883Z test_inplace_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1610030Z test_inplace_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1610177Z test_inplace_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1610325Z test_inplace_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1610471Z test_inplace_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1610621Z test_inplace_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1610754Z test_inplace_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1610948Z test_inplace_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1611142Z test_inplace_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1611331Z test_inplace_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1611518Z test_inplace_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1611702Z test_inplace_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1611923Z test_inplace_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1612104Z test_inplace_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1612287Z test_inplace_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1612456Z test_inplace_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1612748Z test_inplace_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1612978Z test_inplace_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1613201Z test_inplace_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1613415Z test_inplace_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1613631Z test_inplace_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1613846Z test_inplace_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1614064Z test_inplace_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1614285Z test_inplace_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1614507Z test_inplace_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-12-01T10:55:03.1614659Z test_inplace_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1614794Z test_inplace_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1614942Z test_inplace_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1615091Z test_inplace_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1615242Z test_inplace_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1615396Z test_inplace_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1615543Z test_inplace_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1615699Z test_inplace_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1615852Z test_inplace_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1615991Z test_inplace_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1616138Z test_inplace_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1616282Z test_inplace_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1616434Z test_inplace_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1616579Z test_inplace_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1616731Z test_inplace_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1616879Z test_inplace_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1617025Z test_inplace_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1617187Z test_inplace_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1617334Z test_inplace_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1617481Z test_inplace_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1617627Z test_inplace_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1617820Z test_inplace_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1618038Z test_inplace_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1618228Z test_inplace_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1618414Z test_inplace_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1618601Z test_inplace_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1618773Z test_inplace_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1618956Z test_inplace_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1619138Z test_inplace_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1619316Z test_inplace_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1619510Z test_inplace_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1619699Z test_inplace_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1619886Z test_inplace_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1620067Z test_inplace_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1620249Z test_inplace_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1620417Z test_inplace_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1620600Z test_inplace_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1620787Z test_inplace_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1620971Z test_inplace_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1621160Z test_inplace_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1621348Z test_inplace_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1621536Z test_inplace_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1621716Z test_inplace_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1621903Z test_inplace_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1622089Z test_inplace_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1622261Z test_inplace_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1622450Z test_inplace_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1622671Z test_inplace_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1622858Z test_inplace_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1623039Z test_inplace_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1623218Z test_inplace_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1623433Z test_inplace_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1623621Z test_inplace_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1623772Z test_inplace_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1623914Z test_inplace_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1624066Z test_inplace_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1624217Z test_inplace_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1624362Z test_inplace_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1624510Z test_inplace_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1624659Z test_inplace_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1624817Z test_inplace_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1624977Z test_inplace_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1625119Z test_inplace_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1625275Z test_inplace_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1625427Z test_inplace_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1625578Z test_inplace_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1625729Z test_inplace_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1625882Z test_inplace_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1626037Z test_inplace_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1626188Z test_inplace_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1626340Z test_inplace_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1626478Z test_inplace_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1626633Z test_inplace_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1626780Z test_inplace_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1626927Z test_inplace_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1627073Z test_inplace_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1627228Z test_inplace_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1627376Z test_inplace_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1627529Z test_inplace_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1627669Z test_inplace_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1627816Z test_inplace_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1627996Z test_inplace_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1628146Z test_inplace_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1628300Z test_inplace_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1628454Z test_inplace_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1628605Z test_inplace_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1628754Z test_inplace_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1628923Z test_inplace_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1629075Z test_inplace_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1629222Z test_inplace_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1629369Z test_inplace_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1629517Z test_inplace_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1629669Z test_inplace_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1629813Z test_inplace_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1629961Z test_inplace_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1630096Z test_inplace_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1630245Z test_inplace_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1630392Z test_inplace_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1630536Z test_inplace_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1630728Z test_inplace_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1630913Z test_inplace_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1631100Z test_inplace_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1631291Z test_inplace_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1631470Z test_inplace_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1631645Z test_inplace_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1631831Z test_inplace_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1631988Z test_inplace_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1632142Z test_inplace_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1632292Z test_inplace_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1632440Z test_inplace_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1632588Z test_inplace_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1632732Z test_inplace_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1632879Z test_inplace_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1633013Z test_inplace_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1633157Z test_inplace_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1633343Z test_inplace_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1633499Z test_inplace_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1633649Z test_inplace_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1633799Z test_inplace_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1633944Z test_inplace_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1634090Z test_inplace_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1634253Z test_inplace_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1634399Z test_inplace_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1634545Z test_inplace_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1634698Z test_inplace_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1634857Z test_inplace_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1635007Z test_inplace_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1635152Z test_inplace_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1635298Z test_inplace_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1635434Z test_inplace_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1635579Z test_inplace_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1635723Z test_inplace_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1635868Z test_inplace_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1636019Z test_inplace_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1636175Z test_inplace_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1636323Z test_inplace_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1636472Z test_inplace_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1636609Z test_inplace_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1636754Z test_inplace_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1636898Z test_inplace_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1637044Z test_inplace_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1637188Z test_inplace_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1637344Z test_inplace_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1637500Z test_inplace_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1637648Z test_inplace_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1637792Z test_inplace_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1637929Z test_inplace_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1638073Z test_inplace_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1638217Z test_inplace_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1638363Z test_inplace_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1638505Z test_inplace_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1638658Z test_inplace_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1638841Z test_inplace_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1638990Z test_inplace_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1639129Z test_inplace_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1639274Z test_inplace_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1639419Z test_inplace_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1639565Z test_inplace_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1640006Z test_out_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse.py line 3900 2022-12-01T10:55:03.1640076Z due to: 2022-12-01T10:55:03.1640169Z Traceback (most recent call last): 2022-12-01T10:55:03.1640345Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 303, in var_getattr 2022-12-01T10:55:03.1640428Z if isinstance(subobj, property): 2022-12-01T10:55:03.1640633Z UnboundLocalError: local variable 'subobj' referenced before assignment 2022-12-01T10:55:03.1640640Z 2022-12-01T10:55:03.1640711Z from user code: 2022-12-01T10:55:03.1640833Z File "test_sparse.py", line 3901, in 2022-12-01T10:55:03.1640941Z sample.input = sample.input.to_sparse() 2022-12-01T10:55:03.1640946Z 2022-12-01T10:55:03.1641081Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:03.1641144Z ========== 2022-12-01T10:55:03.1641208Z ok (0.016s) 2022-12-01T10:55:03.1641348Z test_out_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1641496Z test_out_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1641644Z test_out_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1641791Z test_out_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1641935Z test_out_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1642076Z test_out_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1642216Z test_out_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-12-01T10:55:03.1642355Z test_out_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1642496Z test_out_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1642649Z test_out_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1642798Z test_out_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1642943Z test_out_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1643091Z test_out_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1643234Z test_out_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1643376Z test_out_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1643516Z test_out_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1643646Z test_out_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1643796Z test_out_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1643943Z test_out_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1644092Z test_out_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1644235Z test_out_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1644375Z test_out_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1644545Z test_out_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1644684Z test_out_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1644817Z test_out_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1644958Z test_out_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1645106Z test_out_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1645254Z test_out_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1645435Z test_out_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1645582Z test_out_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1645726Z test_out_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1645871Z test_out_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1646002Z test_out_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1646142Z test_out_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1646281Z test_out_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1646424Z test_out_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1646567Z test_out_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1646713Z test_out_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1646851Z test_out_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1647244Z test_out_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1647378Z test_out_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1647525Z test_out_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1647710Z test_out_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1647896Z test_out_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1648082Z test_out_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1648264Z test_out_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1648447Z test_out_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1648627Z test_out_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1648801Z test_out_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1648970Z test_out_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1649143Z test_out_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1649306Z test_out_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1649464Z test_out_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1649620Z test_out_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1649777Z test_out_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1649934Z test_out_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1650083Z test_out_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1650282Z test_out_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1650438Z test_out_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1650590Z test_out_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1650733Z test_out_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1650876Z test_out_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1651022Z test_out_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1651204Z test_out_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1651347Z test_out_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1651487Z test_out_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1651616Z test_out_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1651763Z test_out_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1651908Z test_out_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1652050Z test_out_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1652193Z test_out_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1652333Z test_out_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1652479Z test_out_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1652621Z test_out_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1652755Z test_out_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1652901Z test_out_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1653042Z test_out_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1653182Z test_out_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1653324Z test_out_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1653461Z test_out_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1653599Z test_out_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1653787Z test_out_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1653965Z test_out_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1654151Z test_out_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1654341Z test_out_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1654518Z test_out_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1654694Z test_out_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1654865Z test_out_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1655041Z test_out_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1655220Z test_out_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1655405Z test_out_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1655610Z test_out_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1655790Z test_out_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1655970Z test_out_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1656144Z test_out_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1656320Z test_out_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1656522Z test_out_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1656700Z test_out_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1656875Z test_out_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-12-01T10:55:03.1657032Z test_out_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1657169Z test_out_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1657318Z test_out_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1657465Z test_out_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1657610Z test_out_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1657756Z test_out_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1657902Z test_out_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1658053Z test_out_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1658200Z test_out_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1658337Z test_out_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1658483Z test_out_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1658627Z test_out_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1658772Z test_out_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1658916Z test_out_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1659062Z test_out_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1659210Z test_out_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1659352Z test_out_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1659494Z test_out_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1659628Z test_out_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1659771Z test_out_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1659913Z test_out_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1660064Z test_out_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1660218Z test_out_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1660365Z test_out_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1660509Z test_out_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1660648Z test_out_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1660782Z test_out_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1660957Z test_out_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1661101Z test_out_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1661249Z test_out_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1661391Z test_out_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1661534Z test_out_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1661674Z test_out_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1661843Z test_out_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1661974Z test_out_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1662113Z test_out_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1662252Z test_out_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1662400Z test_out_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1662549Z test_out_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1662693Z test_out_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1662832Z test_out_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1662972Z test_out_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1663104Z test_out_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1663245Z test_out_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1663392Z test_out_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1663537Z test_out_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1663680Z test_out_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1663823Z test_out_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1663960Z test_out_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1664102Z test_out_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1664230Z test_out_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1664368Z test_out_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1664509Z test_out_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1664653Z test_out_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1664796Z test_out_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1664937Z test_out_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1665080Z test_out_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1665217Z test_out_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1665343Z test_out_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1665483Z test_out_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1665632Z test_out_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1665777Z test_out_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1665923Z test_out_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1666065Z test_out_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1666207Z test_out_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1666383Z test_out_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1666514Z test_out_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1666660Z test_out_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1666803Z test_out_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1666947Z test_out_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1667085Z test_out_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1667252Z test_out_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1667393Z test_out_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1667528Z test_out_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1667657Z test_out_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1667796Z test_out_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1667944Z test_out_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1668090Z test_out_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1668233Z test_out_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1668374Z test_out_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1668514Z test_out_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1668653Z test_out_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1668781Z test_out_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1668924Z test_out_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1669065Z test_out_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1669215Z test_out_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1669361Z test_out_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1669503Z test_out_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1669644Z test_out_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1669782Z test_out_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1669923Z test_out_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1670050Z test_out_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1670189Z test_out_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1670328Z test_out_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1670474Z test_out_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1670620Z test_out_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1670764Z test_out_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1670906Z test_out_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1671046Z test_out_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1671175Z test_out_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1671319Z test_out_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1671457Z test_out_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1671597Z test_out_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1671779Z test_out_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1671927Z test_out_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1672071Z test_out_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1672213Z test_out_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1672344Z test_out_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1672484Z test_out_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1672650Z test_out_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1672794Z test_out_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1672932Z test_out_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1673083Z test_out_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1673232Z test_out_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1673373Z test_out_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1673504Z test_out_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1673641Z test_out_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1673779Z test_out_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1673920Z test_out_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1674091Z test_sparse_consistency_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:55:03.1674263Z test_sparse_consistency_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:55:03.1674424Z test_sparse_consistency_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.017s) 2022-12-01T10:55:03.1674590Z test_sparse_consistency_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.016s) 2022-12-01T10:55:03.1674741Z test_sparse_consistency_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:55:03.1674900Z test_sparse_consistency_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:55:03.1675055Z test_sparse_consistency_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:55:03.1675214Z test_sparse_consistency_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:55:03.1675368Z test_sparse_consistency_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1675539Z test_sparse_consistency_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1675708Z test_sparse_consistency_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1675877Z test_sparse_consistency_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1676045Z test_sparse_consistency_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1676196Z test_sparse_consistency_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1676358Z test_sparse_consistency_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1676518Z test_sparse_consistency_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1676679Z test_sparse_consistency_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1676837Z test_sparse_consistency_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1677006Z test_sparse_consistency_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1677210Z test_sparse_consistency_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1677377Z test_sparse_consistency_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1677530Z test_sparse_consistency_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1677692Z test_sparse_consistency_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1677850Z test_sparse_consistency_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1678010Z test_sparse_consistency_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1678211Z test_sparse_consistency_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1678369Z test_sparse_consistency_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1678541Z test_sparse_consistency_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1678713Z test_sparse_consistency_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1678882Z test_sparse_consistency_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1679035Z test_sparse_consistency_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1679197Z test_sparse_consistency_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1679357Z test_sparse_consistency_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1679517Z test_sparse_consistency_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1679675Z test_sparse_consistency_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1679835Z test_sparse_consistency_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1680002Z test_sparse_consistency_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1680165Z test_sparse_consistency_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1680324Z test_sparse_consistency_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:55:03.1680472Z test_sparse_consistency_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:55:03.1680631Z test_sparse_consistency_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:55:03.1680794Z test_sparse_consistency_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.012s) 2022-12-01T10:55:03.1680950Z test_sparse_consistency_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1681118Z test_sparse_consistency_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1681286Z test_sparse_consistency_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1681449Z test_sparse_consistency_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1681613Z test_sparse_consistency_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1681760Z test_sparse_consistency_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1681919Z test_sparse_consistency_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1682080Z test_sparse_consistency_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1682237Z test_sparse_consistency_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1682392Z test_sparse_consistency_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1682603Z test_sparse_consistency_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1682781Z test_sparse_consistency_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1682954Z test_sparse_consistency_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1683131Z test_sparse_consistency_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1683292Z test_sparse_consistency_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1683490Z test_sparse_consistency_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1683656Z test_sparse_consistency_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1683829Z test_sparse_consistency_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1684001Z test_sparse_consistency_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1684161Z test_sparse_consistency_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1684319Z test_sparse_consistency_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1684476Z test_sparse_consistency_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1684637Z test_sparse_consistency_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1684787Z test_sparse_consistency_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1684946Z test_sparse_consistency_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1685101Z test_sparse_consistency_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1685265Z test_sparse_consistency_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1685432Z test_sparse_consistency_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1685589Z test_sparse_consistency_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1685747Z test_sparse_consistency_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1685905Z test_sparse_consistency_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1686053Z test_sparse_consistency_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1686216Z test_sparse_consistency_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1686378Z test_sparse_consistency_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1686542Z test_sparse_consistency_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1686704Z test_sparse_consistency_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1686933Z test_sparse_consistency_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1687225Z test_sparse_consistency_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1687386Z test_sparse_consistency_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1687546Z test_sparse_consistency_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1687708Z test_sparse_consistency_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1687880Z test_sparse_consistency_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1688041Z test_sparse_consistency_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1688259Z test_sparse_consistency_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1688416Z test_sparse_consistency_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1688573Z test_sparse_consistency_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1688728Z test_sparse_consistency_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1688886Z test_sparse_consistency_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1689086Z test_sparse_consistency_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1689246Z test_sparse_consistency_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1689413Z test_sparse_consistency_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1689578Z test_sparse_consistency_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1689739Z test_sparse_consistency_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1689900Z test_sparse_consistency_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1690059Z test_sparse_consistency_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1690214Z test_sparse_consistency_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1690373Z test_sparse_consistency_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1690522Z test_sparse_consistency_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1690691Z test_sparse_consistency_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1690856Z test_sparse_consistency_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1691020Z test_sparse_consistency_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1691185Z test_sparse_consistency_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1691349Z test_sparse_consistency_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1691511Z test_sparse_consistency_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1691674Z test_sparse_consistency_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1691844Z test_sparse_consistency_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1691995Z test_sparse_consistency_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1692160Z test_sparse_consistency_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1692324Z test_sparse_consistency_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1692486Z test_sparse_consistency_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1692646Z test_sparse_consistency_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1692808Z test_sparse_consistency_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1692969Z test_sparse_consistency_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1693131Z test_sparse_consistency_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1693289Z test_sparse_consistency_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1693437Z test_sparse_consistency_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1693628Z test_sparse_consistency_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1693787Z test_sparse_consistency_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1693944Z test_sparse_consistency_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1694109Z test_sparse_consistency_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1694274Z test_sparse_consistency_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1694467Z test_sparse_consistency_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1694634Z test_sparse_consistency_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1694784Z test_sparse_consistency_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1694948Z test_sparse_consistency_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1695114Z test_sparse_consistency_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1695280Z test_sparse_consistency_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1695440Z test_sparse_consistency_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1695596Z test_sparse_consistency_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1695759Z test_sparse_consistency_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1695918Z test_sparse_consistency_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1696084Z test_sparse_consistency_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1696233Z test_sparse_consistency_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1696388Z test_sparse_consistency_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1696542Z test_sparse_consistency_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1696704Z test_sparse_consistency_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1696868Z test_sparse_consistency_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1697029Z test_sparse_consistency_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1697186Z test_sparse_consistency_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1697342Z test_sparse_consistency_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1697502Z test_sparse_consistency_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1697647Z test_sparse_consistency_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1697811Z test_sparse_consistency_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1697972Z test_sparse_consistency_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1698130Z test_sparse_consistency_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1698287Z test_sparse_consistency_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1698448Z test_sparse_consistency_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1698605Z test_sparse_consistency_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1698760Z test_sparse_consistency_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1698971Z test_sparse_consistency_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1699128Z test_sparse_consistency_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1699293Z test_sparse_consistency_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1699457Z test_sparse_consistency_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1699617Z test_sparse_consistency_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1699807Z test_sparse_consistency_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1699967Z test_sparse_consistency_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1700128Z test_sparse_consistency_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1700295Z test_sparse_consistency_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1700452Z test_sparse_consistency_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1700620Z test_sparse_consistency_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1700785Z test_sparse_consistency_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1700952Z test_sparse_consistency_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1701117Z test_sparse_consistency_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1701282Z test_sparse_consistency_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1701441Z test_sparse_consistency_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1701611Z test_sparse_consistency_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1701759Z test_sparse_consistency_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1701919Z test_sparse_consistency_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1702081Z test_sparse_consistency_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1702238Z test_sparse_consistency_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1702397Z test_sparse_consistency_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1702553Z test_sparse_consistency_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1702713Z test_sparse_consistency_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1702873Z test_sparse_consistency_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1703044Z test_sparse_consistency_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1703197Z test_sparse_consistency_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1703360Z test_sparse_consistency_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1703522Z test_sparse_consistency_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1703680Z test_sparse_consistency_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1703839Z test_sparse_consistency_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1703994Z test_sparse_consistency_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1704154Z test_sparse_consistency_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1704345Z test_sparse_consistency_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1704499Z test_sparse_consistency_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1704665Z test_sparse_consistency_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1704827Z test_sparse_consistency_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1704989Z test_sparse_consistency_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1705173Z test_sparse_consistency_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1705333Z test_sparse_consistency_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1705487Z test_sparse_consistency_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1705648Z test_sparse_consistency_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1705801Z test_sparse_consistency_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1705956Z test_sparse_consistency_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1706120Z test_sparse_consistency_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1706282Z test_sparse_consistency_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1706443Z test_sparse_consistency_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1706602Z test_sparse_consistency_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1706760Z test_sparse_consistency_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1706914Z test_sparse_consistency_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1707076Z test_sparse_consistency_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1707231Z test_sparse_consistency_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1707385Z test_sparse_consistency_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1707554Z test_sparse_consistency_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1707717Z test_sparse_consistency_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1707880Z test_sparse_consistency_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1708039Z test_sparse_consistency_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1708199Z test_sparse_consistency_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1708359Z test_sparse_consistency_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1708516Z test_sparse_consistency_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1708660Z test_sparse_consistency_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1708823Z test_sparse_consistency_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1708984Z test_sparse_consistency_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1709146Z test_sparse_consistency_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1709305Z test_sparse_consistency_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1709461Z test_sparse_consistency_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1709652Z test_sparse_consistency_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1709808Z test_sparse_consistency_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1710020Z test_sparse_fn_grad_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1710219Z test_sparse_fn_grad_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1710431Z test_sparse_fn_grad_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1710667Z test_sparse_fn_grad_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1710878Z test_sparse_fn_grad_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1711084Z test_sparse_fn_grad_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1711292Z test_sparse_fn_grad_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1711499Z test_sparse_fn_grad_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1711658Z test_sparse_fn_grad_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.031s) 2022-12-01T10:55:03.1711820Z test_sparse_fn_grad_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.019s) 2022-12-01T10:55:03.1711972Z test_sparse_fn_grad_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:55:03.1712136Z test_sparse_fn_grad_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.008s) 2022-12-01T10:55:03.1712307Z test_sparse_fn_grad_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:55:03.1712511Z test_sparse_fn_grad_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1712716Z test_sparse_fn_grad_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1712873Z test_sparse_fn_grad_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:55:03.1713206Z test_sparse_fn_grad_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-12-01T10:55:03.1713508Z test_sparse_fn_grad_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-12-01T10:55:03.1713811Z test_sparse_fn_grad_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-12-01T10:55:03.1714113Z test_sparse_fn_grad_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-12-01T10:55:03.1714415Z test_sparse_fn_grad_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-12-01T10:55:03.1714705Z test_sparse_fn_grad_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-12-01T10:55:03.1714914Z test_sparse_fn_grad_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1715123Z test_sparse_fn_grad_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1715289Z test_sparse_fn_grad_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s) 2022-12-01T10:55:03.1715450Z test_sparse_fn_grad_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:55:03.1715642Z test_sparse_fn_grad_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:55:03.1715851Z test_sparse_fn_grad_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1716056Z test_sparse_fn_grad_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1716213Z test_sparse_fn_grad_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:55:03.1716542Z test_sparse_fn_grad_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-12-01T10:55:03.1716749Z test_sparse_fn_grad_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1716953Z test_sparse_fn_grad_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1717162Z test_sparse_fn_grad_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1717369Z test_sparse_fn_grad_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1717576Z test_sparse_fn_grad_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1717782Z test_sparse_fn_grad_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1717991Z test_sparse_fn_grad_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1718192Z test_sparse_fn_grad_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1718403Z test_sparse_fn_grad_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1718597Z test_sparse_fn_grad_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-12-01T10:55:03.1718756Z test_sparse_fn_grad_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-12-01T10:55:03.1718920Z test_sparse_zero_dims_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.023s) 2022-12-01T10:55:03.1719087Z test_sparse_zero_dims_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:55:03.1719247Z test_sparse_zero_dims_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:55:03.1719409Z test_sparse_zero_dims_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.018s) 2022-12-01T10:55:03.1719568Z test_sparse_zero_dims_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:55:03.1719728Z test_sparse_zero_dims_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:55:03.1719886Z test_sparse_zero_dims_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:55:03.1720028Z test_sparse_zero_dims_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.014s) 2022-12-01T10:55:03.1720184Z test_sparse_zero_dims_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1720349Z test_sparse_zero_dims_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1720515Z test_sparse_zero_dims_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1720676Z test_sparse_zero_dims_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1720837Z test_sparse_zero_dims_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1721024Z test_sparse_zero_dims_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1721179Z test_sparse_zero_dims_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1721334Z test_sparse_zero_dims_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1721477Z test_sparse_zero_dims_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1721629Z test_sparse_zero_dims_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1721824Z test_sparse_zero_dims_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1721991Z test_sparse_zero_dims_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1722149Z test_sparse_zero_dims_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1722307Z test_sparse_zero_dims_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1722463Z test_sparse_zero_dims_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1722617Z test_sparse_zero_dims_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1722757Z test_sparse_zero_dims_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1722914Z test_sparse_zero_dims_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1723066Z test_sparse_zero_dims_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1723235Z test_sparse_zero_dims_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1723399Z test_sparse_zero_dims_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1723559Z test_sparse_zero_dims_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1723721Z test_sparse_zero_dims_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1723875Z test_sparse_zero_dims_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1724029Z test_sparse_zero_dims_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1724170Z test_sparse_zero_dims_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1724324Z test_sparse_zero_dims_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1724485Z test_sparse_zero_dims_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1724643Z test_sparse_zero_dims_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1724804Z test_sparse_zero_dims_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1724962Z test_sparse_zero_dims_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1725116Z test_sparse_zero_dims_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1725270Z test_sparse_zero_dims_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1725412Z test_sparse_zero_dims_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1725566Z test_sparse_zero_dims_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1725729Z test_sparse_zero_dims_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1725894Z test_sparse_zero_dims_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1726055Z test_sparse_zero_dims_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1726215Z test_sparse_zero_dims_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1726401Z test_sparse_zero_dims_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1726552Z test_sparse_zero_dims_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1726707Z test_sparse_zero_dims_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1726851Z test_sparse_zero_dims_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1727196Z test_sparse_zero_dims_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1727446Z test_sparse_zero_dims_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1727628Z test_sparse_zero_dims_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1727800Z test_sparse_zero_dims_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1727973Z test_sparse_zero_dims_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1728148Z test_sparse_zero_dims_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1728315Z test_sparse_zero_dims_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1728477Z test_sparse_zero_dims_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1728635Z test_sparse_zero_dims_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1728804Z test_sparse_zero_dims_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1728966Z test_sparse_zero_dims_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1729126Z test_sparse_zero_dims_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1729285Z test_sparse_zero_dims_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-12-01T10:55:03.1729438Z test_sparse_zero_dims_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1729593Z test_sparse_zero_dims_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1729749Z test_sparse_zero_dims_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1729892Z test_sparse_zero_dims_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1730054Z test_sparse_zero_dims_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1730217Z test_sparse_zero_dims_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1730375Z test_sparse_zero_dims_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1730535Z test_sparse_zero_dims_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1730689Z test_sparse_zero_dims_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1730845Z test_sparse_zero_dims_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1731001Z test_sparse_zero_dims_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1731159Z test_sparse_zero_dims_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1731307Z test_sparse_zero_dims_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1731467Z test_sparse_zero_dims_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1731621Z test_sparse_zero_dims_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1731802Z test_sparse_zero_dims_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1731996Z test_sparse_zero_dims_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1732147Z test_sparse_zero_dims_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1732315Z test_sparse_zero_dims_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1732476Z test_sparse_zero_dims_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1732622Z test_sparse_zero_dims_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1732810Z test_sparse_zero_dims_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1732969Z test_sparse_zero_dims_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1733123Z test_sparse_zero_dims_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1733276Z test_sparse_zero_dims_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1733430Z test_sparse_zero_dims_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1733587Z test_sparse_zero_dims_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1733753Z test_sparse_zero_dims_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1733918Z test_sparse_zero_dims_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1734065Z test_sparse_zero_dims_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1734223Z test_sparse_zero_dims_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1734377Z test_sparse_zero_dims_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1734531Z test_sparse_zero_dims_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1734683Z test_sparse_zero_dims_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1734838Z test_sparse_zero_dims_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1734992Z test_sparse_zero_dims_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1735157Z test_sparse_zero_dims_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1735311Z test_sparse_zero_dims_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1735479Z test_sparse_zero_dims_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1735641Z test_sparse_zero_dims_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1735799Z test_sparse_zero_dims_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1735960Z test_sparse_zero_dims_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1736120Z test_sparse_zero_dims_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1736285Z test_sparse_zero_dims_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1736452Z test_sparse_zero_dims_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1736610Z test_sparse_zero_dims_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1736760Z test_sparse_zero_dims_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1736919Z test_sparse_zero_dims_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1737081Z test_sparse_zero_dims_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1737270Z test_sparse_zero_dims_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1737427Z test_sparse_zero_dims_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1737587Z test_sparse_zero_dims_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1737744Z test_sparse_zero_dims_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1737904Z test_sparse_zero_dims_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1738084Z test_sparse_zero_dims_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1738233Z test_sparse_zero_dims_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1738391Z test_sparse_zero_dims_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1738555Z test_sparse_zero_dims_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1738716Z test_sparse_zero_dims_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1738879Z test_sparse_zero_dims_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1739040Z test_sparse_zero_dims_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1739202Z test_sparse_zero_dims_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1739365Z test_sparse_zero_dims_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1739517Z test_sparse_zero_dims_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1739680Z test_sparse_zero_dims_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1739839Z test_sparse_zero_dims_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1739996Z test_sparse_zero_dims_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1740153Z test_sparse_zero_dims_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1740308Z test_sparse_zero_dims_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1740461Z test_sparse_zero_dims_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1740612Z test_sparse_zero_dims_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1740768Z test_sparse_zero_dims_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1740909Z test_sparse_zero_dims_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1741071Z test_sparse_zero_dims_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1741231Z test_sparse_zero_dims_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1741387Z test_sparse_zero_dims_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1741543Z test_sparse_zero_dims_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1741697Z test_sparse_zero_dims_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1741853Z test_sparse_zero_dims_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1742006Z test_sparse_zero_dims_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1742159Z test_sparse_zero_dims_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1742319Z test_sparse_zero_dims_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1742473Z test_sparse_zero_dims_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1742660Z test_sparse_zero_dims_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1742812Z test_sparse_zero_dims_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1742960Z test_sparse_zero_dims_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1743114Z test_sparse_zero_dims_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1743269Z test_sparse_zero_dims_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1743454Z test_sparse_zero_dims_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1743601Z test_sparse_zero_dims_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1743757Z test_sparse_zero_dims_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1743913Z test_sparse_zero_dims_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1744067Z test_sparse_zero_dims_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1744217Z test_sparse_zero_dims_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1744370Z test_sparse_zero_dims_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1744524Z test_sparse_zero_dims_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1744690Z test_sparse_zero_dims_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1744841Z test_sparse_zero_dims_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1745002Z test_sparse_zero_dims_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1745159Z test_sparse_zero_dims_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1745318Z test_sparse_zero_dims_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1745476Z test_sparse_zero_dims_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1745632Z test_sparse_zero_dims_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1745796Z test_sparse_zero_dims_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1745954Z test_sparse_zero_dims_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1746110Z test_sparse_zero_dims_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1746254Z test_sparse_zero_dims_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1746406Z test_sparse_zero_dims_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1746560Z test_sparse_zero_dims_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1746712Z test_sparse_zero_dims_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1746865Z test_sparse_zero_dims_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1747019Z test_sparse_zero_dims_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1747181Z test_sparse_zero_dims_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1747347Z test_sparse_zero_dims_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1747505Z test_sparse_zero_dims_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1747650Z test_sparse_zero_dims_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1747837Z test_sparse_zero_dims_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1747990Z test_sparse_zero_dims_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1748143Z test_sparse_zero_dims_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1748297Z test_sparse_zero_dims_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1748449Z test_sparse_zero_dims_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1748613Z test_sparse_zero_dims_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1748810Z test_sparse_zero_dims_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1748956Z test_sparse_zero_dims_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1749113Z test_sparse_zero_dims_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1749269Z test_sparse_zero_dims_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1749423Z test_sparse_zero_dims_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1749575Z test_sparse_zero_dims_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1749728Z test_sparse_zero_dims_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1749880Z test_sparse_zero_dims_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1750039Z test_sparse_zero_dims_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1750198Z test_sparse_zero_dims_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1750344Z test_sparse_zero_dims_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1750503Z test_sparse_zero_dims_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1750657Z test_sparse_zero_dims_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1750806Z test_sparse_zero_dims_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1750958Z test_sparse_zero_dims_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1751111Z test_sparse_zero_dims_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1751264Z test_sparse_zero_dims_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1751429Z test_sparse_zero_dims_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1751580Z test_sparse_zero_dims_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1751738Z test_sparse_zero_dims_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1751897Z test_sparse_zero_dims_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1752051Z test_sparse_zero_dims_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1752203Z test_sparse_zero_dims_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1752358Z test_sparse_zero_dims_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1752511Z test_sparse_zero_dims_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1752666Z test_sparse_zero_dims_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1752825Z test_sparse_zero_dims_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1752974Z test_sparse_zero_dims_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1753166Z test_sparse_zero_dims_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1753321Z test_sparse_zero_dims_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1753475Z test_sparse_zero_dims_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1753630Z test_sparse_zero_dims_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1753780Z test_sparse_zero_dims_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1753937Z test_sparse_zeros_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.034s) 2022-12-01T10:55:03.1754133Z test_sparse_zeros_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.027s) 2022-12-01T10:55:03.1754275Z test_sparse_zeros_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.028s) 2022-12-01T10:55:03.1754434Z test_sparse_zeros_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.029s) 2022-12-01T10:55:03.1754589Z test_sparse_zeros_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:55:03.1754737Z test_sparse_zeros_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:55:03.1754889Z test_sparse_zeros_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:55:03.1755039Z test_sparse_zeros_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.015s) 2022-12-01T10:55:03.1755189Z test_sparse_zeros_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1755355Z test_sparse_zeros_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1755514Z test_sparse_zeros_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1755656Z test_sparse_zeros_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1755811Z test_sparse_zeros_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1755968Z test_sparse_zeros_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1756121Z test_sparse_zeros_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1756269Z test_sparse_zeros_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1756418Z test_sparse_zeros_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1756572Z test_sparse_zeros_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1756732Z test_sparse_zeros_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1756877Z test_sparse_zeros_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1757032Z test_sparse_zeros_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1757187Z test_sparse_zeros_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1757337Z test_sparse_zeros_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1757489Z test_sparse_zeros_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1757639Z test_sparse_zeros_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1757789Z test_sparse_zeros_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1757940Z test_sparse_zeros_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1758091Z test_sparse_zeros_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1758250Z test_sparse_zeros_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1758404Z test_sparse_zeros_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1758589Z test_sparse_zeros_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1758741Z test_sparse_zeros_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1758893Z test_sparse_zeros_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1759046Z test_sparse_zeros_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1759196Z test_sparse_zeros_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1759376Z test_sparse_zeros_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1759521Z test_sparse_zeros_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1759675Z test_sparse_zeros_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1759826Z test_sparse_zeros_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1759977Z test_sparse_zeros_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1760123Z test_sparse_zeros_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1760275Z test_sparse_zeros_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1760426Z test_sparse_zeros_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1760586Z test_sparse_zeros_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1760734Z test_sparse_zeros_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1760889Z test_sparse_zeros_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1761040Z test_sparse_zeros_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1761191Z test_sparse_zeros_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1761337Z test_sparse_zeros_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1761486Z test_sparse_zeros_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1761635Z test_sparse_zeros_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1761780Z test_sparse_zeros_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1761952Z test_sparse_zeros_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1762112Z test_sparse_zeros_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1762279Z test_sparse_zeros_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1762446Z test_sparse_zeros_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1762609Z test_sparse_zeros_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1762770Z test_sparse_zeros_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1762931Z test_sparse_zeros_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1763094Z test_sparse_zeros_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1763250Z test_sparse_zeros_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1763393Z test_sparse_zeros_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1763546Z test_sparse_zeros_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1763698Z test_sparse_zeros_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1763882Z test_sparse_zeros_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1764029Z test_sparse_zeros_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1764177Z test_sparse_zeros_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1764325Z test_sparse_zeros_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1764480Z test_sparse_zeros_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1764635Z test_sparse_zeros_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1764806Z test_sparse_zeros_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1764959Z test_sparse_zeros_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1765109Z test_sparse_zeros_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1765263Z test_sparse_zeros_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1765415Z test_sparse_zeros_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1765567Z test_sparse_zeros_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1765719Z test_sparse_zeros_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1765868Z test_sparse_zeros_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1766007Z test_sparse_zeros_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1766159Z test_sparse_zeros_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1766310Z test_sparse_zeros_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1766461Z test_sparse_zeros_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1766624Z test_sparse_zeros_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1766782Z test_sparse_zeros_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1767159Z test_sparse_zeros_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1767318Z test_sparse_zeros_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1767471Z test_sparse_zeros_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1767612Z test_sparse_zeros_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1767761Z test_sparse_zeros_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1767914Z test_sparse_zeros_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1768069Z test_sparse_zeros_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1768229Z test_sparse_zeros_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1768389Z test_sparse_zeros_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1768545Z test_sparse_zeros_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1768698Z test_sparse_zeros_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1768835Z test_sparse_zeros_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1768988Z test_sparse_zeros_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1769139Z test_sparse_zeros_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1769291Z test_sparse_zeros_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1769504Z test_sparse_zeros_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1769665Z test_sparse_zeros_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1769824Z test_sparse_zeros_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1769983Z test_sparse_zeros_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1770127Z test_sparse_zeros_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1770324Z test_sparse_zeros_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1770484Z test_sparse_zeros_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1770640Z test_sparse_zeros_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1770801Z test_sparse_zeros_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1770961Z test_sparse_zeros_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1771117Z test_sparse_zeros_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1771271Z test_sparse_zeros_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1771424Z test_sparse_zeros_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1771566Z test_sparse_zeros_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1771722Z test_sparse_zeros_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1771877Z test_sparse_zeros_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1772029Z test_sparse_zeros_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1772183Z test_sparse_zeros_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1772334Z test_sparse_zeros_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1772485Z test_sparse_zeros_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1772637Z test_sparse_zeros_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1772777Z test_sparse_zeros_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1772939Z test_sparse_zeros_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1773101Z test_sparse_zeros_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1773258Z test_sparse_zeros_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1773415Z test_sparse_zeros_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1773573Z test_sparse_zeros_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1773733Z test_sparse_zeros_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1773887Z test_sparse_zeros_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1774045Z test_sparse_zeros_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1774189Z test_sparse_zeros_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1774349Z test_sparse_zeros_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1774502Z test_sparse_zeros_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1774653Z test_sparse_zeros_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1774832Z test_sparse_zeros_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1774976Z test_sparse_zeros_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1775126Z test_sparse_zeros_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1775275Z test_sparse_zeros_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1775417Z test_sparse_zeros_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1775572Z test_sparse_zeros_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1775751Z test_sparse_zeros_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1775899Z test_sparse_zeros_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1776050Z test_sparse_zeros_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1776202Z test_sparse_zeros_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1776357Z test_sparse_zeros_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1776515Z test_sparse_zeros_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1776673Z test_sparse_zeros_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1776813Z test_sparse_zeros_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1776965Z test_sparse_zeros_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1777118Z test_sparse_zeros_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1777266Z test_sparse_zeros_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1777412Z test_sparse_zeros_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1777567Z test_sparse_zeros_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1777717Z test_sparse_zeros_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1777872Z test_sparse_zeros_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1778018Z test_sparse_zeros_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1778168Z test_sparse_zeros_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1778323Z test_sparse_zeros_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1778474Z test_sparse_zeros_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1778623Z test_sparse_zeros_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1778775Z test_sparse_zeros_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1778938Z test_sparse_zeros_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1779098Z test_sparse_zeros_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1779241Z test_sparse_zeros_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1779396Z test_sparse_zeros_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1779550Z test_sparse_zeros_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1779705Z test_sparse_zeros_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1779858Z test_sparse_zeros_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1780016Z test_sparse_zeros_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1780200Z test_sparse_zeros_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1780352Z test_sparse_zeros_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1780501Z test_sparse_zeros_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1780640Z test_sparse_zeros_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1780785Z test_sparse_zeros_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1780930Z test_sparse_zeros_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1781146Z test_sparse_zeros_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1781294Z test_sparse_zeros_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1781452Z test_sparse_zeros_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1781611Z test_sparse_zeros_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1781765Z test_sparse_zeros_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1781907Z test_sparse_zeros_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1782061Z test_sparse_zeros_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1782209Z test_sparse_zeros_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1782361Z test_sparse_zeros_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1782514Z test_sparse_zeros_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1782666Z test_sparse_zeros_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1782827Z test_sparse_zeros_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1782988Z test_sparse_zeros_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1783141Z test_sparse_zeros_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1783282Z test_sparse_zeros_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1783428Z test_sparse_zeros_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1783579Z test_sparse_zeros_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1783731Z test_sparse_zeros_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1783879Z test_sparse_zeros_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1784029Z test_sparse_zeros_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1784186Z test_sparse_zeros_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1784343Z test_sparse_zeros_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1784487Z test_sparse_zeros_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1784637Z test_sparse_zeros_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1784787Z test_sparse_zeros_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1784934Z test_sparse_zeros_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1785081Z test_sparse_zeros_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1785231Z test_sparse_zeros_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1785380Z test_sparse_zeros_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1785567Z test_sparse_zeros_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1785723Z test_sparse_zeros_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1785866Z test_sparse_zeros_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1786014Z test_sparse_zeros_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1786165Z test_sparse_zeros_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1786315Z test_sparse_zeros_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1786497Z test_sparse_zeros_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1786646Z test_sparse_zeros_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1786793Z test_sparse_zeros_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1786952Z test_sparse_zeros_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1787095Z test_sparse_zeros_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1787248Z test_sparse_zeros_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1787399Z test_sparse_zeros_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1787549Z test_sparse_zeros_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1787699Z test_sparse_zeros_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1787853Z test_sparse_zeros_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-12-01T10:55:03.1787861Z 2022-12-01T10:55:03.1788086Z ---------------------------------------------------------------------- 2022-12-01T10:55:03.1788165Z Ran 1409 tests in 37.926s 2022-12-01T10:55:03.1788173Z 2022-12-01T10:55:03.1788246Z OK (skipped=140) 2022-12-01T10:55:03.1788251Z 2022-12-01T10:55:03.1788320Z Generating XML reports... 2022-12-01T10:55:03.1788603Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseCPU-20221201105424.xml 2022-12-01T10:55:03.1788933Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMaskedReductionsCPU-20221201105424.xml 2022-12-01T10:55:03.1789207Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMeta-20221201105424.xml 2022-12-01T10:55:03.1789514Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseUnaryUfuncsCPU-20221201105424.xml 2022-12-01T10:55:03.1789798Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseOneOff-20221201105424.xml 2022-12-01T10:55:03.1789803Z 2022-12-01T10:55:03.1790160Z ##[endgroup] 2022-12-01T10:55:03.1790431Z FINISHED PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_er7zr84d) 2022-12-01T10:55:03.1790439Z 2022-12-01T10:55:03.1790593Z Running test_serialization ... [2022-12-01 10:55:03.083529] 2022-12-01T10:55:03.1790934Z Executing ['/opt/conda/bin/python', '-bb', 'test_serialization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:55:03.084006] 2022-12-01T10:55:35.8710334Z 2022-12-01T10:55:35.8710954Z Expand the folded group to see the log file of test_serialization 2022-12-01T10:55:35.8711929Z ##[group]PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_5cqg7bek) 2022-12-01T10:55:35.8714921Z Test results will be stored in test-reports/python-unittest/test_serialization 2022-12-01T10:55:35.8715150Z 2022-12-01T10:55:35.8715226Z Running tests... 2022-12-01T10:55:35.8716338Z ---------------------------------------------------------------------- 2022-12-01T10:55:35.8716995Z test_serialization_new_format_old_format_compat_cpu (__main__.TestBothSerializationCPU) ... ok (0.176s) 2022-12-01T10:55:35.8717901Z test_serialization_new_format_old_format_compat_safe_cpu (__main__.TestBothSerializationCPU) ... ok (0.043s) 2022-12-01T10:55:35.8718915Z test_load_error_msg (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_load_error_msg test_serialization.py line 612 2022-12-01T10:55:35.8719404Z due to: 2022-12-01T10:55:35.8719652Z Traceback (most recent call last): 2022-12-01T10:55:35.8720108Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:55:35.8720615Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:55:35.8721012Z BytesWarning: str() on a bytes instance 2022-12-01T10:55:35.8721332Z 2022-12-01T10:55:35.8721548Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8721917Z ========== 2022-12-01T10:55:35.8722161Z ok (0.006s) 2022-12-01T10:55:35.8722968Z test_load_nonexistent_device (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_load_nonexistent_device test_serialization.py line 482 2022-12-01T10:55:35.8723509Z due to: 2022-12-01T10:55:35.8723784Z Traceback (most recent call last): 2022-12-01T10:55:35.8724216Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:55:35.8724705Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:55:35.8725091Z BytesWarning: str() on a bytes instance 2022-12-01T10:55:35.8725287Z 2022-12-01T10:55:35.8725490Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8725783Z ========== 2022-12-01T10:55:35.8725999Z ok (0.002s) 2022-12-01T10:55:35.8726323Z test_load_python2_unicode_module (__main__.TestOldSerialization) ... ok (0.622s) 2022-12-01T10:55:35.8727595Z test_load_unicode_error_msg (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization.py line 604 2022-12-01T10:55:35.8728015Z due to: 2022-12-01T10:55:35.8728271Z Traceback (most recent call last): 2022-12-01T10:55:35.8728774Z File "/opt/conda/lib/python3.7/site-packages/torch/serialization.py", line 1012, in _legacy_load 2022-12-01T10:55:35.8729146Z result = unpickler.load() 2022-12-01T10:55:35.8729656Z UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 1105: ordinal not in range(128) 2022-12-01T10:55:35.8729923Z 2022-12-01T10:55:35.8730005Z from user code: 2022-12-01T10:55:35.8730290Z File "test_serialization.py", line 604, in 2022-12-01T10:55:35.8730789Z self.assertRaises(UnicodeDecodeError, lambda: torch.load(path, encoding='ascii')) 2022-12-01T10:55:35.8731039Z 2022-12-01T10:55:35.8731207Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8731500Z ========== 2022-12-01T10:55:35.8731718Z ok (0.003s) 2022-12-01T10:55:35.8732387Z test_save_different_dtype_error (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_save_different_dtype_error test_serialization.py line 649 2022-12-01T10:55:35.8732832Z due to: 2022-12-01T10:55:35.8733078Z Traceback (most recent call last): 2022-12-01T10:55:35.8733452Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8734029Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8734657Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:55:35.8734933Z 2022-12-01T10:55:35.8735030Z from user code: 2022-12-01T10:55:35.8735360Z File "test_serialization.py", line 653, in test_save_different_dtype_error 2022-12-01T10:55:35.8735689Z if torch.cuda.is_available(): 2022-12-01T10:55:35.8735857Z 2022-12-01T10:55:35.8736034Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8736330Z ========== 2022-12-01T10:55:35.8736528Z ok (0.019s) 2022-12-01T10:55:35.8737223Z test_save_different_dtype_unallocated (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_save_different_dtype_unallocated test_serialization.py line 623 2022-12-01T10:55:35.8737849Z due to: 2022-12-01T10:55:35.8738087Z Traceback (most recent call last): 2022-12-01T10:55:35.8738469Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8739053Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8739666Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:55:35.8739938Z 2022-12-01T10:55:35.8740020Z from user code: 2022-12-01T10:55:35.8740437Z File "test_serialization.py", line 625, in test_save_different_dtype_unallocated 2022-12-01T10:55:35.8740795Z if torch.cuda.is_available(): 2022-12-01T10:55:35.8740964Z 2022-12-01T10:55:35.8741127Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8741422Z ========== 2022-12-01T10:55:35.8741634Z ok (0.149s) 2022-12-01T10:55:35.8742256Z test_serialization (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_serialization test_serialization.py line 151 2022-12-01T10:55:35.8742700Z due to: 2022-12-01T10:55:35.8742951Z Traceback (most recent call last): 2022-12-01T10:55:35.8743330Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8743903Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8744458Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8744710Z 2022-12-01T10:55:35.8744806Z from user code: 2022-12-01T10:55:35.8745107Z File "test_serialization.py", line 153, in _test_serialization 2022-12-01T10:55:35.8745460Z b = self._test_serialization_data() 2022-12-01T10:55:35.8745637Z 2022-12-01T10:55:35.8745816Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8746109Z ========== 2022-12-01T10:55:35.8746582Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_serialization_data test_serialization.py line 82 2022-12-01T10:55:35.8746942Z due to: 2022-12-01T10:55:35.8747192Z Traceback (most recent call last): 2022-12-01T10:55:35.8747560Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8748149Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8748742Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8749001Z 2022-12-01T10:55:35.8749102Z from user code: 2022-12-01T10:55:35.8749424Z File "test_serialization.py", line 85, in _test_serialization_data 2022-12-01T10:55:35.8749755Z b += [a[0].storage()] # 4 2022-12-01T10:55:35.8749910Z 2022-12-01T10:55:35.8750111Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8750396Z ========== 2022-12-01T10:55:35.8750611Z ok (0.214s) 2022-12-01T10:55:35.8751305Z test_serialization_backwards_compat (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_serialization_backwards_compat test_serialization.py line 373 2022-12-01T10:55:35.8751755Z due to: 2022-12-01T10:55:35.8752002Z Traceback (most recent call last): 2022-12-01T10:55:35.8752387Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8752976Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8753524Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8753767Z 2022-12-01T10:55:35.8753868Z from user code: 2022-12-01T10:55:35.8754203Z File "test_serialization.py", line 376, in _test_serialization_backwards_compat 2022-12-01T10:55:35.8754527Z b += [a[0].storage()] 2022-12-01T10:55:35.8754751Z 2022-12-01T10:55:35.8754926Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8755227Z ========== 2022-12-01T10:55:35.8755681Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __reduce__ test_serialization.py line 405 2022-12-01T10:55:35.8756022Z due to: 2022-12-01T10:55:35.8756274Z Traceback (most recent call last): 2022-12-01T10:55:35.8756651Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8757225Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8757833Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8758080Z 2022-12-01T10:55:35.8758177Z from user code: 2022-12-01T10:55:35.8758455Z File "test_serialization.py", line 406, in __reduce__ 2022-12-01T10:55:35.8758789Z return (torch.Tensor, (), self.__getstate__()) 2022-12-01T10:55:35.8758989Z 2022-12-01T10:55:35.8759183Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8759479Z ========== 2022-12-01T10:55:35.8759931Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __getstate__ test_serialization.py line 398 2022-12-01T10:55:35.8760291Z due to: 2022-12-01T10:55:35.8760544Z Traceback (most recent call last): 2022-12-01T10:55:35.8760918Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8761515Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8762116Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8762361Z 2022-12-01T10:55:35.8762445Z from user code: 2022-12-01T10:55:35.8762740Z File "test_serialization.py", line 399, in __getstate__ 2022-12-01T10:55:35.8763062Z return (self.new_tensor.storage(), 2022-12-01T10:55:35.8763236Z 2022-12-01T10:55:35.8763418Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8763712Z ========== 2022-12-01T10:55:35.8764185Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __reduce__ test_serialization.py line 409 2022-12-01T10:55:35.8764527Z due to: 2022-12-01T10:55:35.8764757Z Traceback (most recent call last): 2022-12-01T10:55:35.8765129Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8765722Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8766299Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8766546Z 2022-12-01T10:55:35.8766660Z from user code: 2022-12-01T10:55:35.8767214Z File "test_serialization.py", line 410, in __reduce__ 2022-12-01T10:55:35.8767586Z return (_rebuild_tensor, self.__getstate__()) 2022-12-01T10:55:35.8767761Z 2022-12-01T10:55:35.8767940Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8768269Z ========== 2022-12-01T10:55:35.8768514Z ok (0.156s) 2022-12-01T10:55:35.8768898Z test_serialization_backwards_compat_safe (__main__.TestOldSerialization) ... ok (0.010s) 2022-12-01T10:55:35.8769459Z test_serialization_container (__main__.TestOldSerialization) ... ok (0.019s) 2022-12-01T10:55:35.8770006Z test_serialization_container_filelike (__main__.TestOldSerialization) ... ok (0.011s) 2022-12-01T10:55:35.8770409Z test_serialization_dill (__main__.TestOldSerialization) ... skip: "dill" not found or not correct version (0.001s) 2022-12-01T10:55:35.8770826Z test_serialization_dill_version_not_supported (__main__.TestOldSerialization) ... skip: "dill" not found or is correct version (0.001s) 2022-12-01T10:55:35.8771200Z test_serialization_fake_zip (__main__.TestOldSerialization) ... ok (0.182s) 2022-12-01T10:55:35.8771766Z test_serialization_filelike (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization_filelike test_serialization.py line 195 2022-12-01T10:55:35.8772191Z due to: 2022-12-01T10:55:35.8772379Z Traceback (most recent call last): 2022-12-01T10:55:35.8772659Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8773095Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8773492Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8773672Z 2022-12-01T10:55:35.8773742Z from user code: 2022-12-01T10:55:35.8773980Z File "test_serialization.py", line 197, in test_serialization_filelike 2022-12-01T10:55:35.8774222Z b = self._test_serialization_data() 2022-12-01T10:55:35.8774397Z 2022-12-01T10:55:35.8774533Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8774750Z ========== 2022-12-01T10:55:35.8774896Z ok (0.026s) 2022-12-01T10:55:35.8775428Z test_serialization_filelike_api_requirements (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization_filelike_api_requirements test_serialization.py line 505 2022-12-01T10:55:35.8775800Z due to: 2022-12-01T10:55:35.8775985Z Traceback (most recent call last): 2022-12-01T10:55:35.8776247Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:55:35.8776551Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:55:35.8776797Z BytesWarning: str() on a bytes instance 2022-12-01T10:55:35.8776929Z 2022-12-01T10:55:35.8777045Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8777264Z ========== 2022-12-01T10:55:35.8777424Z ok (0.002s) 2022-12-01T10:55:35.8777926Z test_serialization_filelike_missing_attrs (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization_filelike_missing_attrs test_serialization.py line 532 2022-12-01T10:55:35.8778283Z due to: 2022-12-01T10:55:35.8778467Z Traceback (most recent call last): 2022-12-01T10:55:35.8778745Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:55:35.8779037Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:55:35.8779281Z BytesWarning: str() on a bytes instance 2022-12-01T10:55:35.8779410Z 2022-12-01T10:55:35.8779480Z from user code: 2022-12-01T10:55:35.8779725Z File "test_serialization.py", line 545, in test_serialization_filelike_missing_attrs 2022-12-01T10:55:35.8780030Z self._test_serialization_filelike(to_serialize, mock, desc) 2022-12-01T10:55:35.8780183Z 2022-12-01T10:55:35.8780313Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8780528Z ========== 2022-12-01T10:55:35.8780877Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_serialization_filelike test_serialization.py line 521 2022-12-01T10:55:35.8781151Z due to: 2022-12-01T10:55:35.8781329Z Traceback (most recent call last): 2022-12-01T10:55:35.8781591Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:55:35.8781894Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:55:35.8782140Z BytesWarning: str() on a bytes instance 2022-12-01T10:55:35.8782270Z 2022-12-01T10:55:35.8782387Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8782602Z ========== 2022-12-01T10:55:35.8782758Z ok (0.006s) 2022-12-01T10:55:35.8783241Z test_serialization_filelike_stress (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization_filelike_stress test_serialization.py line 547 2022-12-01T10:55:35.8783590Z due to: 2022-12-01T10:55:35.8783774Z Traceback (most recent call last): 2022-12-01T10:55:35.8784048Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:55:35.8784340Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:55:35.8784586Z BytesWarning: str() on a bytes instance 2022-12-01T10:55:35.8784757Z 2022-12-01T10:55:35.8784827Z from user code: 2022-12-01T10:55:35.8785061Z File "test_serialization.py", line 553, in test_serialization_filelike_stress 2022-12-01T10:55:35.8785340Z 'read() stress test') 2022-12-01T10:55:35.8785455Z 2022-12-01T10:55:35.8785586Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8785789Z ========== 2022-12-01T10:55:35.8785947Z ok (0.341s) 2022-12-01T10:55:35.8786207Z test_serialization_filelike_uses_readinto (__main__.TestOldSerialization) ... ok (0.043s) 2022-12-01T10:55:35.8786785Z test_serialization_gzip (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization_gzip test_serialization.py line 226 2022-12-01T10:55:35.8787097Z due to: 2022-12-01T10:55:35.8787282Z Traceback (most recent call last): 2022-12-01T10:55:35.8787563Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8787984Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8788392Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:55:35.8788570Z 2022-12-01T10:55:35.8788640Z from user code: 2022-12-01T10:55:35.8788876Z File "test_serialization.py", line 228, in test_serialization_gzip 2022-12-01T10:55:35.8789113Z b = self._test_serialization_data() 2022-12-01T10:55:35.8789241Z 2022-12-01T10:55:35.8789371Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8789588Z ========== 2022-12-01T10:55:35.8789733Z ok (0.029s) 2022-12-01T10:55:35.8790535Z test_serialization_map_location (__main__.TestOldSerialization) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81685 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-12-01T10:55:35.8791199Z test_serialization_offset (__main__.TestOldSerialization) ... ok (6.819s) 2022-12-01T10:55:35.8791545Z test_serialization_offset_filelike_weights_only_False (__main__.TestOldSerialization) ... ok (6.806s) 2022-12-01T10:55:35.8791911Z test_serialization_offset_filelike_weights_only_True (__main__.TestOldSerialization) ... ok (6.792s) 2022-12-01T10:55:35.8792242Z test_serialization_offset_gzip (__main__.TestOldSerialization) ... ok (0.029s) 2022-12-01T10:55:35.8792554Z test_serialization_safe (__main__.TestOldSerialization) ... ok (0.033s) 2022-12-01T10:55:35.8792868Z test_serialization_save_warnings (__main__.TestOldSerialization) ... ok (0.061s) 2022-12-01T10:55:35.8793173Z test_serialization_sparse (__main__.TestOldSerialization) ... ok (0.032s) 2022-12-01T10:55:35.8793752Z test_serialization_sparse_csr_invalid (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization_sparse_csr_invalid test_serialization.py line 336 2022-12-01T10:55:35.8794111Z due to: 2022-12-01T10:55:35.8794294Z Traceback (most recent call last): 2022-12-01T10:55:35.8794622Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:35.8794893Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:35.8796893Z NotImplementedError: Could not run 'aten::to_sparse_csr' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csr' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:35.8798132Z 2022-12-01T10:55:35.8798305Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:35.8798680Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:35.8799116Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:55:35.8799554Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:35.8800006Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:35.8800450Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:35.8800903Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:35.8801309Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:35.8801700Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:35.8802091Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:35.8802488Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:35.8802906Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:35.8803349Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8803767Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8804179Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8804575Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8804982Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8805389Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8805789Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8806175Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8806570Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8807203Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8807625Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8808021Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8808441Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8808945Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8809378Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8809802Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:35.8810208Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:55:35.8810655Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:35.8811176Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:35.8811842Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:35.8812321Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:35.8812763Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:35.8813182Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:35.8813606Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:35.8814046Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:35.8814507Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:35.8814947Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:35.8815179Z 2022-12-01T10:55:35.8815184Z 2022-12-01T10:55:35.8815322Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:35.8815489Z 2022-12-01T10:55:35.8815583Z Traceback (most recent call last): 2022-12-01T10:55:35.8815954Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:35.8816266Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:35.8816582Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:55:35.8816755Z 2022-12-01T10:55:35.8816890Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:35.8817055Z 2022-12-01T10:55:35.8817147Z Traceback (most recent call last): 2022-12-01T10:55:35.8817418Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:35.8817692Z raise TorchRuntimeError() from e 2022-12-01T10:55:35.8817923Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:35.8818064Z 2022-12-01T10:55:35.8818123Z from user code: 2022-12-01T10:55:35.8818370Z File "test_serialization.py", line 339, in test_serialization_sparse_csr_invalid 2022-12-01T10:55:35.8818619Z x = x.to_sparse_csr() 2022-12-01T10:55:35.8818731Z 2022-12-01T10:55:35.8818861Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8819065Z ========== 2022-12-01T10:55:35.8819395Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_serialization.py line 342 2022-12-01T10:55:35.8819642Z due to: 2022-12-01T10:55:35.8819809Z Traceback (most recent call last): 2022-12-01T10:55:35.8820194Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:55:35.8820588Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:55:35.8820925Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:55:35.8821130Z 2022-12-01T10:55:35.8821262Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:35.8821426Z 2022-12-01T10:55:35.8821516Z Traceback (most recent call last): 2022-12-01T10:55:35.8821793Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:35.8822023Z ) from e 2022-12-01T10:55:35.8822354Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:35.8822641Z 2022-12-01T10:55:35.8822776Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8822979Z ========== 2022-12-01T10:55:35.8823311Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __reduce_ex__ test_serialization.py line 345 2022-12-01T10:55:35.8823568Z due to: 2022-12-01T10:55:35.8823749Z Traceback (most recent call last): 2022-12-01T10:55:35.8824123Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:55:35.8824467Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:55:35.8824812Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:55:35.8825021Z 2022-12-01T10:55:35.8825144Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:35.8825308Z 2022-12-01T10:55:35.8825398Z Traceback (most recent call last): 2022-12-01T10:55:35.8825677Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:35.8825918Z ) from e 2022-12-01T10:55:35.8826234Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:35.8826491Z 2022-12-01T10:55:35.8826561Z from user code: 2022-12-01T10:55:35.8826786Z File "test_serialization.py", line 346, in __reduce_ex__ 2022-12-01T10:55:35.8827043Z invalid_crow_indices = self.tensor.crow_indices().clone() 2022-12-01T10:55:35.8827195Z 2022-12-01T10:55:35.8827331Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8827549Z ========== 2022-12-01T10:55:35.8828088Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-12-01T10:55:35.8828651Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:55:35.8828867Z ok (0.016s) 2022-12-01T10:55:35.8829117Z test_serialization_sparse_invalid (__main__.TestOldSerialization) ... ok (0.024s) 2022-12-01T10:55:35.8829431Z test_serialization_sparse_safe (__main__.TestOldSerialization) ... ok (0.018s) 2022-12-01T10:55:35.8829991Z test_serialization_storage_slice (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization_storage_slice test_serialization.py line 571 2022-12-01T10:55:35.8830332Z due to: 2022-12-01T10:55:35.8830516Z Traceback (most recent call last): 2022-12-01T10:55:35.8830783Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:55:35.8831087Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:55:35.8831331Z BytesWarning: str() on a bytes instance 2022-12-01T10:55:35.8831462Z 2022-12-01T10:55:35.8831584Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8831799Z ========== 2022-12-01T10:55:35.8831956Z ok (0.002s) 2022-12-01T10:55:35.8832398Z test_serialization_zipfile_utils (__main__.TestOldSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test test_serialization.py line 129 2022-12-01T10:55:35.8832738Z due to: 2022-12-01T10:55:35.8832918Z Traceback (most recent call last): 2022-12-01T10:55:35.8833195Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8833612Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8834113Z AssertionError: torch.* op returned non-Tensor _open_zipfile_writer_file call_function 2022-12-01T10:55:35.8834342Z 2022-12-01T10:55:35.8834412Z from user code: 2022-12-01T10:55:35.8834620Z File "test_serialization.py", line 130, in test 2022-12-01T10:55:35.8834928Z with torch.serialization._open_zipfile_writer(name_or_buffer) as zip_file: 2022-12-01T10:55:35.8835105Z 2022-12-01T10:55:35.8835235Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8835452Z ========== 2022-12-01T10:55:35.8835597Z ok (0.018s) 2022-12-01T10:55:35.8835830Z test_serialize_device (__main__.TestOldSerialization) ... ok (0.003s) 2022-12-01T10:55:35.8836118Z test_load_error_msg (__main__.TestSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8836393Z test_load_nonexistent_device (__main__.TestSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8836696Z test_load_python2_unicode_module (__main__.TestSerialization) ... ok (0.003s) 2022-12-01T10:55:35.8836996Z test_load_unicode_error_msg (__main__.TestSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8837312Z test_meta_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.011s) 2022-12-01T10:55:35.8837637Z test_meta_serialization_weights_only_True (__main__.TestSerialization) ... ok (0.002s) 2022-12-01T10:55:35.8837973Z test_pathlike_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.014s) 2022-12-01T10:55:35.8838314Z test_pathlike_serialization_weights_only_True (__main__.TestSerialization) ... ok (0.006s) 2022-12-01T10:55:35.8838623Z test_save_different_dtype_error (__main__.TestSerialization) ... ok (0.002s) 2022-12-01T10:55:35.8838938Z test_save_different_dtype_unallocated (__main__.TestSerialization) ... ok (0.148s) 2022-12-01T10:55:35.8839235Z test_serialization (__main__.TestSerialization) ... ok (0.085s) 2022-12-01T10:55:35.8839518Z test_serialization_2gb_file (__main__.TestSerialization) ... ok (7.065s) 2022-12-01T10:55:35.8839814Z test_serialization_backwards_compat (__main__.TestSerialization) ... ok (0.010s) 2022-12-01T10:55:35.8840138Z test_serialization_backwards_compat_safe (__main__.TestSerialization) ... ok (0.010s) 2022-12-01T10:55:35.8840492Z test_serialization_dill (__main__.TestSerialization) ... skip: "dill" not found or not correct version (0.001s) 2022-12-01T10:55:35.8840876Z test_serialization_dill_version_not_supported (__main__.TestSerialization) ... skip: "dill" not found or is correct version (0.001s) 2022-12-01T10:55:35.8841226Z test_serialization_fake_zip (__main__.TestSerialization) ... ok (0.002s) 2022-12-01T10:55:35.8841525Z test_serialization_filelike (__main__.TestSerialization) ... ok (0.008s) 2022-12-01T10:55:35.8841840Z test_serialization_filelike_api_requirements (__main__.TestSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8842163Z test_serialization_filelike_missing_attrs (__main__.TestSerialization) ... ok (0.002s) 2022-12-01T10:55:35.8842482Z test_serialization_filelike_stress (__main__.TestSerialization) ... ok (0.449s) 2022-12-01T10:55:35.8842801Z test_serialization_filelike_uses_readinto (__main__.TestSerialization) ... ok (0.006s) 2022-12-01T10:55:35.8843095Z test_serialization_gzip (__main__.TestSerialization) ... ok (0.010s) 2022-12-01T10:55:35.8843678Z test_serialization_map_location (__main__.TestSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization.py line 437 2022-12-01T10:55:35.8844027Z due to: 2022-12-01T10:55:35.8844209Z Traceback (most recent call last): 2022-12-01T10:55:35.8844513Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:35.8844940Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:35.8845420Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:55:35.8845635Z 2022-12-01T10:55:35.8845704Z from user code: 2022-12-01T10:55:35.8845957Z File "test_serialization.py", line 461, in 2022-12-01T10:55:35.8846295Z 'cuda:{}'.format(torch.cuda.device_count() - 1), 2022-12-01T10:55:35.8846440Z 2022-12-01T10:55:35.8846600Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8846900Z ========== 2022-12-01T10:55:35.8847222Z ok (0.043s) 2022-12-01T10:55:35.8847469Z test_serialization_offset_gzip (__main__.TestSerialization) ... ok (0.006s) 2022-12-01T10:55:35.8847761Z test_serialization_safe (__main__.TestSerialization) ... ok (0.017s) 2022-12-01T10:55:35.8848074Z test_serialization_save_warnings (__main__.TestSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8848380Z test_serialization_sparse (__main__.TestSerialization) ... ok (0.016s) 2022-12-01T10:55:35.8848695Z test_serialization_sparse_csr_invalid (__main__.TestSerialization) ... ok (0.002s) 2022-12-01T10:55:35.8848997Z test_serialization_sparse_invalid (__main__.TestSerialization) ... ok (0.012s) 2022-12-01T10:55:35.8849309Z test_serialization_sparse_safe (__main__.TestSerialization) ... ok (0.017s) 2022-12-01T10:55:35.8849620Z test_serialization_storage_slice (__main__.TestSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8850386Z test_serialization_zipfile_actually_jit (__main__.TestSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/serialization.py:781: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning) 2022-12-01T10:55:35.8850891Z " silence this warning)", UserWarning) 2022-12-01T10:55:35.8851082Z ok (0.018s) 2022-12-01T10:55:35.8851324Z test_serialization_zipfile_utils (__main__.TestSerialization) ... ok (0.005s) 2022-12-01T10:55:35.8851862Z test_serialization_zipfile_weights_only_False (__main__.TestSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serialization.py line 831 2022-12-01T10:55:35.8852198Z due to: 2022-12-01T10:55:35.8852381Z Traceback (most recent call last): 2022-12-01T10:55:35.8852579Z File "", line 1, in 2022-12-01T10:55:35.8852834Z NameError: name 'Storage' is not defined 2022-12-01T10:55:35.8852968Z 2022-12-01T10:55:35.8853040Z from user code: 2022-12-01T10:55:35.8853269Z File "test_serialization.py", line 834, in 2022-12-01T10:55:35.8853539Z result = torch.load(name_or_buffer, weights_only=weights_only) 2022-12-01T10:55:35.8853697Z 2022-12-01T10:55:35.8853831Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8854051Z ========== 2022-12-01T10:55:35.8854195Z ok (0.103s) 2022-12-01T10:55:35.8854447Z test_serialization_zipfile_weights_only_True (__main__.TestSerialization) ... ok (0.037s) 2022-12-01T10:55:35.8854756Z test_serialize_device (__main__.TestSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8855034Z test_weights_only_assert (__main__.TestSerialization) ... Hello World! 2022-12-01T10:55:35.8855257Z ok (0.004s) 2022-12-01T10:55:35.8855753Z test_cloned_deepcopy_requires_grad_False (__main__.TestSubclassSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cloned_deepcopy test_serialization.py line 996 2022-12-01T10:55:35.8856105Z due to: 2022-12-01T10:55:35.8856276Z Traceback (most recent call last): 2022-12-01T10:55:35.8856649Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:55:35.8856928Z assert device.type != "meta" 2022-12-01T10:55:35.8857181Z AssertionError 2022-12-01T10:55:35.8857288Z 2022-12-01T10:55:35.8857358Z from user code: 2022-12-01T10:55:35.8857587Z File "test_serialization.py", line 998, in test_cloned_deepcopy 2022-12-01T10:55:35.8857921Z my_tensor = torch.rand(2, requires_grad=requires_grad, device='meta') 2022-12-01T10:55:35.8858085Z 2022-12-01T10:55:35.8858217Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8858436Z ========== 2022-12-01T10:55:35.8858594Z ok (0.003s) 2022-12-01T10:55:35.8858845Z test_cloned_deepcopy_requires_grad_True (__main__.TestSubclassSerialization) ... ok (0.001s) 2022-12-01T10:55:35.8859234Z test_empty_class_serialization (__main__.TestSubclassSerialization) ... ok (0.026s) 2022-12-01T10:55:35.8859776Z test_tensor_subclass_deepcopy (__main__.TestSubclassSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __new__ test_serialization.py line 904 2022-12-01T10:55:35.8860084Z due to: 2022-12-01T10:55:35.8860266Z Traceback (most recent call last): 2022-12-01T10:55:35.8860637Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:55:35.8860904Z assert device.type != "meta" 2022-12-01T10:55:35.8861097Z AssertionError 2022-12-01T10:55:35.8861205Z 2022-12-01T10:55:35.8861275Z from user code: 2022-12-01T10:55:35.8861490Z File "test_serialization.py", line 909, in __new__ 2022-12-01T10:55:35.8861818Z r = torch.Tensor._make_subclass(cls, elem.to('meta'), elem.requires_grad) 2022-12-01T10:55:35.8861988Z 2022-12-01T10:55:35.8862119Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8862338Z ========== 2022-12-01T10:55:35.8862482Z ok (0.034s) 2022-12-01T10:55:35.8862949Z test_tensor_subclass_getstate_overwrite (__main__.TestSubclassSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __new__ test_serialization.py line 922 2022-12-01T10:55:35.8863278Z due to: 2022-12-01T10:55:35.8863447Z Traceback (most recent call last): 2022-12-01T10:55:35.8863822Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:55:35.8864100Z assert device.type != "meta" 2022-12-01T10:55:35.8864288Z AssertionError 2022-12-01T10:55:35.8864384Z 2022-12-01T10:55:35.8864455Z from user code: 2022-12-01T10:55:35.8864671Z File "test_serialization.py", line 927, in __new__ 2022-12-01T10:55:35.8865008Z r = torch.Tensor._make_subclass(cls, elem.to('meta'), elem.requires_grad) 2022-12-01T10:55:35.8865173Z 2022-12-01T10:55:35.8865292Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:35.8865507Z ========== 2022-12-01T10:55:35.8865667Z ok (0.024s) 2022-12-01T10:55:35.8865927Z test_tensor_subclass_wrapper_serialization (__main__.TestSubclassSerialization) ... ok (0.019s) 2022-12-01T10:55:35.8866125Z 2022-12-01T10:55:35.8866327Z ---------------------------------------------------------------------- 2022-12-01T10:55:35.8866565Z Ran 80 tests in 31.038s 2022-12-01T10:55:35.8866684Z 2022-12-01T10:55:35.8866755Z OK (skipped=5) 2022-12-01T10:55:35.8866849Z 2022-12-01T10:55:35.8866932Z Generating XML reports... 2022-12-01T10:55:35.8867375Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestBothSerializationCPU-20221201105504.xml 2022-12-01T10:55:35.8867942Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestOldSerialization-20221201105504.xml 2022-12-01T10:55:35.8868467Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSerialization-20221201105504.xml 2022-12-01T10:55:35.8869018Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSubclassSerialization-20221201105504.xml 2022-12-01T10:55:35.8869273Z 2022-12-01T10:55:35.8869603Z ##[endgroup] 2022-12-01T10:55:35.8870002Z FINISHED PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_5cqg7bek) 2022-12-01T10:55:35.8870214Z 2022-12-01T10:55:35.8870371Z Running test_testing ... [2022-12-01 10:55:35.871923] 2022-12-01T10:55:35.8870873Z Executing ['/opt/conda/bin/python', '-bb', 'test_testing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:55:35.872324] 2022-12-01T10:55:59.8699540Z 2022-12-01T10:55:59.8699939Z Expand the folded group to see the log file of test_testing 2022-12-01T10:55:59.8702252Z ##[group]PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing_c4h9z544) 2022-12-01T10:55:59.8703011Z Test results will be stored in test-reports/python-unittest/test_testing 2022-12-01T10:55:59.8703293Z 2022-12-01T10:55:59.8705688Z Running tests... 2022-12-01T10:55:59.8706588Z ---------------------------------------------------------------------- 2022-12-01T10:55:59.8707799Z test_bool (__main__.TestAssertClose) ... ok (0.192s) 2022-12-01T10:55:59.8708460Z test_default_tolerance_selection_mismatching_dtypes (__main__.TestAssertClose) ... ok (0.047s) 2022-12-01T10:55:59.8709437Z test_docstring_examples (__main__.TestAssertClose) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_docstring_examples test_testing.py line 804 2022-12-01T10:55:59.8710241Z due to: 2022-12-01T10:55:59.8710566Z Traceback (most recent call last): 2022-12-01T10:55:59.8711059Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:55:59.8711619Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:55:59.8712065Z AssertionError: DocTestParser 2022-12-01T10:55:59.8712310Z 2022-12-01T10:55:59.8712429Z from user code: 2022-12-01T10:55:59.8712811Z File "test_testing.py", line 805, in test_docstring_examples 2022-12-01T10:55:59.8713316Z finder = doctest.DocTestFinder(verbose=False) 2022-12-01T10:55:59.8713580Z 2022-12-01T10:55:59.8713739Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8714068Z ========== 2022-12-01T10:55:59.8714631Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8715059Z due to: 2022-12-01T10:55:59.8715355Z Traceback (most recent call last): 2022-12-01T10:55:59.8715836Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8716277Z raise Unsupported(msg) 2022-12-01T10:55:59.8716674Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8716942Z 2022-12-01T10:55:59.8717062Z from user code: 2022-12-01T10:55:59.8717461Z File "", line 1, in 2022-12-01T10:55:59.8717903Z assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2022-12-01T10:55:59.8718215Z 2022-12-01T10:55:59.8718439Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8718850Z ========== 2022-12-01T10:55:59.8719442Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8719879Z due to: 2022-12-01T10:55:59.8720099Z Traceback (most recent call last): 2022-12-01T10:55:59.8720371Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8720613Z raise Unsupported(msg) 2022-12-01T10:55:59.8720853Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8721004Z 2022-12-01T10:55:59.8721074Z from user code: 2022-12-01T10:55:59.8721338Z File "", line 1, in 2022-12-01T10:55:59.8721806Z expected = torch.tensor([1e0, 1e-1, 1e-2]) 2022-12-01T10:55:59.8722009Z 2022-12-01T10:55:59.8722213Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8722556Z ========== 2022-12-01T10:55:59.8723061Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8723462Z due to: 2022-12-01T10:55:59.8723761Z Traceback (most recent call last): 2022-12-01T10:55:59.8724177Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8724583Z raise Unsupported(msg) 2022-12-01T10:55:59.8725131Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8725370Z 2022-12-01T10:55:59.8725460Z from user code: 2022-12-01T10:55:59.8725787Z File "", line 1, in 2022-12-01T10:55:59.8726156Z actual = torch.acos(torch.cos(expected)) 2022-12-01T10:55:59.8726375Z 2022-12-01T10:55:59.8726581Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8727223Z ========== 2022-12-01T10:55:59.8727749Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8728144Z due to: 2022-12-01T10:55:59.8728421Z Traceback (most recent call last): 2022-12-01T10:55:59.8728985Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8729428Z raise Unsupported(msg) 2022-12-01T10:55:59.8729818Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8730076Z 2022-12-01T10:55:59.8730172Z from user code: 2022-12-01T10:55:59.8730533Z File "", line 1, in 2022-12-01T10:55:59.8730949Z torch.testing.assert_close(actual, expected) 2022-12-01T10:55:59.8731197Z 2022-12-01T10:55:59.8731375Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8731736Z ========== 2022-12-01T10:55:59.8732306Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8732674Z due to: 2022-12-01T10:55:59.8732972Z Traceback (most recent call last): 2022-12-01T10:55:59.8733397Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8733791Z raise Unsupported(msg) 2022-12-01T10:55:59.8734166Z torchdynamo.exc.Unsupported: missing: STORE_NAME 2022-12-01T10:55:59.8734410Z 2022-12-01T10:55:59.8734529Z from user code: 2022-12-01T10:55:59.8734866Z File "", line 1, in 2022-12-01T10:55:59.8735177Z import math 2022-12-01T10:55:59.8735340Z 2022-12-01T10:55:59.8735554Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8735910Z ========== 2022-12-01T10:55:59.8736471Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8736881Z due to: 2022-12-01T10:55:59.8737184Z Traceback (most recent call last): 2022-12-01T10:55:59.8737628Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8738059Z raise Unsupported(msg) 2022-12-01T10:55:59.8738526Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8738777Z 2022-12-01T10:55:59.8738878Z from user code: 2022-12-01T10:55:59.8739227Z File "", line 1, in 2022-12-01T10:55:59.8739602Z expected = math.sqrt(2.0) 2022-12-01T10:55:59.8739801Z 2022-12-01T10:55:59.8740025Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8740396Z ========== 2022-12-01T10:55:59.8740983Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8741440Z due to: 2022-12-01T10:55:59.8741723Z Traceback (most recent call last): 2022-12-01T10:55:59.8742175Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8742607Z raise Unsupported(msg) 2022-12-01T10:55:59.8742947Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8743107Z 2022-12-01T10:55:59.8743187Z from user code: 2022-12-01T10:55:59.8743406Z File "", line 1, in 2022-12-01T10:55:59.8743629Z actual = 2.0 / math.sqrt(2.0) 2022-12-01T10:55:59.8743817Z 2022-12-01T10:55:59.8744034Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8744402Z ========== 2022-12-01T10:55:59.8744870Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8745168Z due to: 2022-12-01T10:55:59.8745360Z Traceback (most recent call last): 2022-12-01T10:55:59.8745777Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8746021Z raise Unsupported(msg) 2022-12-01T10:55:59.8746259Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8746412Z 2022-12-01T10:55:59.8746485Z from user code: 2022-12-01T10:55:59.8746683Z File "", line 1, in 2022-12-01T10:55:59.8746937Z torch.testing.assert_close(actual, expected) 2022-12-01T10:55:59.8747079Z 2022-12-01T10:55:59.8747208Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8747424Z ========== 2022-12-01T10:55:59.8747741Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8748040Z due to: 2022-12-01T10:55:59.8748224Z Traceback (most recent call last): 2022-12-01T10:55:59.8748479Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8748736Z raise Unsupported(msg) 2022-12-01T10:55:59.8748971Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8749122Z 2022-12-01T10:55:59.8749178Z from user code: 2022-12-01T10:55:59.8749388Z File "", line 1, in 2022-12-01T10:55:59.8749634Z torch.testing.assert_close(actual, expected) 2022-12-01T10:55:59.8749779Z 2022-12-01T10:55:59.8749909Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8750116Z ========== 2022-12-01T10:55:59.8750474Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8750719Z due to: 2022-12-01T10:55:59.8750886Z Traceback (most recent call last): 2022-12-01T10:55:59.8751159Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8751413Z raise Unsupported(msg) 2022-12-01T10:55:59.8751634Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8751784Z 2022-12-01T10:55:59.8751852Z from user code: 2022-12-01T10:55:59.8752062Z File "", line 1, in 2022-12-01T10:55:59.8752297Z expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2022-12-01T10:55:59.8752440Z 2022-12-01T10:55:59.8752570Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8752783Z ========== 2022-12-01T10:55:59.8753206Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8753442Z due to: 2022-12-01T10:55:59.8753625Z Traceback (most recent call last): 2022-12-01T10:55:59.8753900Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8754141Z raise Unsupported(msg) 2022-12-01T10:55:59.8754378Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8754532Z 2022-12-01T10:55:59.8754602Z from user code: 2022-12-01T10:55:59.8754800Z File "", line 1, in 2022-12-01T10:55:59.8755019Z actual = tuple(expected) 2022-12-01T10:55:59.8755143Z 2022-12-01T10:55:59.8755271Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8755475Z ========== 2022-12-01T10:55:59.8755804Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8756049Z due to: 2022-12-01T10:55:59.8756228Z Traceback (most recent call last): 2022-12-01T10:55:59.8756487Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8756743Z raise Unsupported(msg) 2022-12-01T10:55:59.8756977Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8757114Z 2022-12-01T10:55:59.8757184Z from user code: 2022-12-01T10:55:59.8757394Z File "", line 1, in 2022-12-01T10:55:59.8757639Z torch.testing.assert_close(actual, expected) 2022-12-01T10:55:59.8757782Z 2022-12-01T10:55:59.8757900Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8758115Z ========== 2022-12-01T10:55:59.8758434Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8758724Z due to: 2022-12-01T10:55:59.8758906Z Traceback (most recent call last): 2022-12-01T10:55:59.8759177Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8759431Z raise Unsupported(msg) 2022-12-01T10:55:59.8759655Z torchdynamo.exc.Unsupported: missing: STORE_NAME 2022-12-01T10:55:59.8759806Z 2022-12-01T10:55:59.8759879Z from user code: 2022-12-01T10:55:59.8760089Z File "", line 1, in 2022-12-01T10:55:59.8760306Z from collections import OrderedDict 2022-12-01T10:55:59.8760439Z 2022-12-01T10:55:59.8760602Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8760821Z ========== 2022-12-01T10:55:59.8761130Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8761376Z due to: 2022-12-01T10:55:59.8761561Z Traceback (most recent call last): 2022-12-01T10:55:59.8761821Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8762076Z raise Unsupported(msg) 2022-12-01T10:55:59.8762321Z torchdynamo.exc.Unsupported: missing: STORE_NAME 2022-12-01T10:55:59.8762472Z 2022-12-01T10:55:59.8762546Z from user code: 2022-12-01T10:55:59.8762741Z File "", line 1, in 2022-12-01T10:55:59.8762952Z import numpy as np 2022-12-01T10:55:59.8763065Z 2022-12-01T10:55:59.8763194Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8763395Z ========== 2022-12-01T10:55:59.8763722Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8763969Z due to: 2022-12-01T10:55:59.8764134Z Traceback (most recent call last): 2022-12-01T10:55:59.8764406Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8764660Z raise Unsupported(msg) 2022-12-01T10:55:59.8764886Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8765037Z 2022-12-01T10:55:59.8765106Z from user code: 2022-12-01T10:55:59.8765320Z File "", line 1, in 2022-12-01T10:55:59.8765536Z foo = torch.tensor(1.0) 2022-12-01T10:55:59.8765641Z 2022-12-01T10:55:59.8765774Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8765992Z ========== 2022-12-01T10:55:59.8766313Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8766540Z due to: 2022-12-01T10:55:59.8766723Z Traceback (most recent call last): 2022-12-01T10:55:59.8767228Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8767507Z raise Unsupported(msg) 2022-12-01T10:55:59.8767800Z torchdynamo.exc.Unsupported: missing: STORE_NAME 2022-12-01T10:55:59.8767991Z 2022-12-01T10:55:59.8768068Z from user code: 2022-12-01T10:55:59.8768405Z File "", line 1, in 2022-12-01T10:55:59.8768712Z bar = 2.0 2022-12-01T10:55:59.8768873Z 2022-12-01T10:55:59.8769091Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8769444Z ========== 2022-12-01T10:55:59.8769954Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8770389Z due to: 2022-12-01T10:55:59.8770733Z Traceback (most recent call last): 2022-12-01T10:55:59.8771039Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8771293Z raise Unsupported(msg) 2022-12-01T10:55:59.8771529Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8771679Z 2022-12-01T10:55:59.8771736Z from user code: 2022-12-01T10:55:59.8771950Z File "", line 1, in 2022-12-01T10:55:59.8772158Z baz = np.array(3.0) 2022-12-01T10:55:59.8772269Z 2022-12-01T10:55:59.8772401Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8772703Z ========== 2022-12-01T10:55:59.8773025Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8773269Z due to: 2022-12-01T10:55:59.8773441Z Traceback (most recent call last): 2022-12-01T10:55:59.8773709Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8773966Z raise Unsupported(msg) 2022-12-01T10:55:59.8774192Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8774342Z 2022-12-01T10:55:59.8774412Z from user code: 2022-12-01T10:55:59.8774618Z File "", line 1, in 2022-12-01T10:55:59.8774911Z expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2022-12-01T10:55:59.8775068Z 2022-12-01T10:55:59.8775198Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8775414Z ========== 2022-12-01T10:55:59.8775741Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8775977Z due to: 2022-12-01T10:55:59.8776160Z Traceback (most recent call last): 2022-12-01T10:55:59.8776438Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8776678Z raise Unsupported(msg) 2022-12-01T10:55:59.8776917Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8777070Z 2022-12-01T10:55:59.8777140Z from user code: 2022-12-01T10:55:59.8777338Z File "", line 1, in 2022-12-01T10:55:59.8777573Z actual = {"baz": baz, "bar": bar, "foo": foo} 2022-12-01T10:55:59.8777703Z 2022-12-01T10:55:59.8777838Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8778052Z ========== 2022-12-01T10:55:59.8778360Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8778603Z due to: 2022-12-01T10:55:59.8778782Z Traceback (most recent call last): 2022-12-01T10:55:59.8779041Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8779290Z raise Unsupported(msg) 2022-12-01T10:55:59.8779520Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8779671Z 2022-12-01T10:55:59.8779728Z from user code: 2022-12-01T10:55:59.8779937Z File "", line 1, in 2022-12-01T10:55:59.8780180Z torch.testing.assert_close(actual, expected) 2022-12-01T10:55:59.8780328Z 2022-12-01T10:55:59.8780446Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8780661Z ========== 2022-12-01T10:55:59.8780985Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8781227Z due to: 2022-12-01T10:55:59.8781422Z Traceback (most recent call last): 2022-12-01T10:55:59.8781875Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8782307Z raise Unsupported(msg) 2022-12-01T10:55:59.8782671Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8782897Z 2022-12-01T10:55:59.8783011Z from user code: 2022-12-01T10:55:59.8783351Z File "", line 1, in 2022-12-01T10:55:59.8783703Z expected = torch.tensor([1.0, 2.0, 3.0]) 2022-12-01T10:55:59.8783893Z 2022-12-01T10:55:59.8784101Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8784436Z ========== 2022-12-01T10:55:59.8784903Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8785306Z due to: 2022-12-01T10:55:59.8785594Z Traceback (most recent call last): 2022-12-01T10:55:59.8786036Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8786448Z raise Unsupported(msg) 2022-12-01T10:55:59.8786854Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8787091Z 2022-12-01T10:55:59.8787321Z from user code: 2022-12-01T10:55:59.8787640Z File "", line 1, in 2022-12-01T10:55:59.8788006Z actual = expected.clone() 2022-12-01T10:55:59.8788224Z 2022-12-01T10:55:59.8788462Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8788840Z ========== 2022-12-01T10:55:59.8789401Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8789816Z due to: 2022-12-01T10:55:59.8790141Z Traceback (most recent call last): 2022-12-01T10:55:59.8790587Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8790994Z raise Unsupported(msg) 2022-12-01T10:55:59.8791379Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8791523Z 2022-12-01T10:55:59.8791595Z from user code: 2022-12-01T10:55:59.8791807Z File "", line 1, in 2022-12-01T10:55:59.8792094Z torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2022-12-01T10:55:59.8792272Z 2022-12-01T10:55:59.8792389Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8792609Z ========== 2022-12-01T10:55:59.8792947Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8793178Z due to: 2022-12-01T10:55:59.8793360Z Traceback (most recent call last): 2022-12-01T10:55:59.8793631Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8793884Z raise Unsupported(msg) 2022-12-01T10:55:59.8794104Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8794258Z 2022-12-01T10:55:59.8794328Z from user code: 2022-12-01T10:55:59.8794540Z File "", line 1, in 2022-12-01T10:55:59.8794754Z torch.testing.assert_close( 2022-12-01T10:55:59.8794880Z 2022-12-01T10:55:59.8795011Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8795230Z ========== 2022-12-01T10:55:59.8795540Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8795784Z due to: 2022-12-01T10:55:59.8795963Z Traceback (most recent call last): 2022-12-01T10:55:59.8796225Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8796476Z raise Unsupported(msg) 2022-12-01T10:55:59.8796711Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8796863Z 2022-12-01T10:55:59.8796931Z from user code: 2022-12-01T10:55:59.8797126Z File "", line 1, in 2022-12-01T10:55:59.8797385Z torch.testing.assert_close(actual.numpy(), expected) 2022-12-01T10:55:59.8797541Z 2022-12-01T10:55:59.8797668Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8797871Z ========== 2022-12-01T10:55:59.8798192Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8798438Z due to: 2022-12-01T10:55:59.8798608Z Traceback (most recent call last): 2022-12-01T10:55:59.8798877Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8799133Z raise Unsupported(msg) 2022-12-01T10:55:59.8799353Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8799503Z 2022-12-01T10:55:59.8799573Z from user code: 2022-12-01T10:55:59.8799783Z File "", line 1, in 2022-12-01T10:55:59.8800037Z torch.testing.assert_close(1.0, 1, check_dtype=False) 2022-12-01T10:55:59.8800170Z 2022-12-01T10:55:59.8800300Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8800513Z ========== 2022-12-01T10:55:59.8800835Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8801066Z due to: 2022-12-01T10:55:59.8801247Z Traceback (most recent call last): 2022-12-01T10:55:59.8801516Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8801822Z raise Unsupported(msg) 2022-12-01T10:55:59.8802061Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8802215Z 2022-12-01T10:55:59.8802286Z from user code: 2022-12-01T10:55:59.8802494Z File "", line 1, in 2022-12-01T10:55:59.8802713Z expected = torch.tensor(float("Nan")) 2022-12-01T10:55:59.8802844Z 2022-12-01T10:55:59.8802974Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8803190Z ========== 2022-12-01T10:55:59.8803499Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8803740Z due to: 2022-12-01T10:55:59.8803954Z Traceback (most recent call last): 2022-12-01T10:55:59.8804216Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8804466Z raise Unsupported(msg) 2022-12-01T10:55:59.8804699Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8804853Z 2022-12-01T10:55:59.8804909Z from user code: 2022-12-01T10:55:59.8805114Z File "", line 1, in 2022-12-01T10:55:59.8805329Z actual = expected.clone() 2022-12-01T10:55:59.8805450Z 2022-12-01T10:55:59.8805581Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8805781Z ========== 2022-12-01T10:55:59.8806105Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8806348Z due to: 2022-12-01T10:55:59.8806518Z Traceback (most recent call last): 2022-12-01T10:55:59.8806878Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8807315Z raise Unsupported(msg) 2022-12-01T10:55:59.8807538Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8807692Z 2022-12-01T10:55:59.8807762Z from user code: 2022-12-01T10:55:59.8807973Z File "", line 1, in 2022-12-01T10:55:59.8808213Z torch.testing.assert_close(actual, expected) 2022-12-01T10:55:59.8808358Z 2022-12-01T10:55:59.8808487Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8808702Z ========== 2022-12-01T10:55:59.8809035Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8809269Z due to: 2022-12-01T10:55:59.8809450Z Traceback (most recent call last): 2022-12-01T10:55:59.8809721Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8809964Z raise Unsupported(msg) 2022-12-01T10:55:59.8810201Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8810353Z 2022-12-01T10:55:59.8810428Z from user code: 2022-12-01T10:55:59.8810624Z File "", line 1, in 2022-12-01T10:55:59.8810888Z torch.testing.assert_close(actual, expected, equal_nan=True) 2022-12-01T10:55:59.8811050Z 2022-12-01T10:55:59.8811179Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8811395Z ========== 2022-12-01T10:55:59.8811704Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8811947Z due to: 2022-12-01T10:55:59.8812125Z Traceback (most recent call last): 2022-12-01T10:55:59.8812379Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8812630Z raise Unsupported(msg) 2022-12-01T10:55:59.8812861Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8813016Z 2022-12-01T10:55:59.8813073Z from user code: 2022-12-01T10:55:59.8813281Z File "", line 1, in 2022-12-01T10:55:59.8813512Z expected = torch.tensor([1.0, 2.0, 3.0]) 2022-12-01T10:55:59.8813644Z 2022-12-01T10:55:59.8813773Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8813977Z ========== 2022-12-01T10:55:59.8814296Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8814617Z due to: 2022-12-01T10:55:59.8814786Z Traceback (most recent call last): 2022-12-01T10:55:59.8815061Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8815308Z raise Unsupported(msg) 2022-12-01T10:55:59.8815548Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8815701Z 2022-12-01T10:55:59.8815772Z from user code: 2022-12-01T10:55:59.8815970Z File "", line 1, in 2022-12-01T10:55:59.8816199Z actual = torch.tensor([1.0, 4.0, 5.0]) 2022-12-01T10:55:59.8816328Z 2022-12-01T10:55:59.8816504Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8816711Z ========== 2022-12-01T10:55:59.8817033Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8817276Z due to: 2022-12-01T10:55:59.8817455Z Traceback (most recent call last): 2022-12-01T10:55:59.8817715Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8817967Z raise Unsupported(msg) 2022-12-01T10:55:59.8818202Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8818340Z 2022-12-01T10:55:59.8818410Z from user code: 2022-12-01T10:55:59.8818618Z File "", line 1, in 2022-12-01T10:55:59.8818911Z torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2022-12-01T10:55:59.8819095Z 2022-12-01T10:55:59.8819214Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8819431Z ========== 2022-12-01T10:55:59.8819753Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT line 1 2022-12-01T10:55:59.8819993Z due to: 2022-12-01T10:55:59.8820160Z Traceback (most recent call last): 2022-12-01T10:55:59.8820429Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.8820681Z raise Unsupported(msg) 2022-12-01T10:55:59.8820900Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.8821053Z 2022-12-01T10:55:59.8821121Z from user code: 2022-12-01T10:55:59.8821329Z File "", line 1, in 2022-12-01T10:55:59.8821543Z torch.testing.assert_close( 2022-12-01T10:55:59.8821669Z 2022-12-01T10:55:59.8821799Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8822011Z ========== 2022-12-01T10:55:59.8822153Z ok (2.645s) 2022-12-01T10:55:59.8822365Z test_matching (__main__.TestAssertClose) ... ok (0.008s) 2022-12-01T10:55:59.8822630Z test_matching_atol (__main__.TestAssertClose) ... ok (0.047s) 2022-12-01T10:55:59.8823165Z test_matching_conjugate_bit (__main__.TestAssertClose) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_testing.py line 732 2022-12-01T10:55:59.8823481Z due to: 2022-12-01T10:55:59.8823662Z Traceback (most recent call last): 2022-12-01T10:55:59.8824051Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:55:59.8824383Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:55:59.8824728Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:55:59.8824933Z 2022-12-01T10:55:59.8825068Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8825232Z 2022-12-01T10:55:59.8825322Z Traceback (most recent call last): 2022-12-01T10:55:59.8825585Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:59.8825827Z ) from e 2022-12-01T10:55:59.8826162Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:59.8826416Z 2022-12-01T10:55:59.8826533Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8826791Z ========== 2022-12-01T10:55:59.8827133Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT make_assert_close_inputs test_testing.py line 508 2022-12-01T10:55:59.8827375Z due to: 2022-12-01T10:55:59.8827556Z Traceback (most recent call last): 2022-12-01T10:55:59.8827939Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:55:59.8828278Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:55:59.8828610Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:55:59.8828816Z 2022-12-01T10:55:59.8828990Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8829154Z 2022-12-01T10:55:59.8829245Z Traceback (most recent call last): 2022-12-01T10:55:59.8829507Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:59.8829746Z ) from e 2022-12-01T10:55:59.8830082Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:59.8830336Z 2022-12-01T10:55:59.8830470Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8830672Z ========== 2022-12-01T10:55:59.8830829Z ok (0.014s) 2022-12-01T10:55:59.8831045Z test_matching_nan (__main__.TestAssertClose) ... ok (0.004s) 2022-12-01T10:55:59.8831317Z test_matching_nan_with_equal_nan (__main__.TestAssertClose) ... ok (0.002s) 2022-12-01T10:55:59.8831599Z test_matching_rtol (__main__.TestAssertClose) ... ok (0.007s) 2022-12-01T10:55:59.8832037Z test_meta (__main__.TestAssertClose) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_meta test_testing.py line 609 2022-12-01T10:55:59.8832315Z due to: 2022-12-01T10:55:59.8832485Z Traceback (most recent call last): 2022-12-01T10:55:59.8832856Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:55:59.8833137Z assert device.type != "meta" 2022-12-01T10:55:59.8833314Z AssertionError 2022-12-01T10:55:59.8833420Z 2022-12-01T10:55:59.8833489Z from user code: 2022-12-01T10:55:59.8833691Z File "test_testing.py", line 610, in test_meta 2022-12-01T10:55:59.8833912Z actual = torch.empty((2, 2), device="meta") 2022-12-01T10:55:59.8834045Z 2022-12-01T10:55:59.8834175Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8834391Z ========== 2022-12-01T10:55:59.8834535Z ok (0.003s) 2022-12-01T10:55:59.8834757Z test_mismatching_dtype (__main__.TestAssertClose) ... ok (0.009s) 2022-12-01T10:55:59.8835047Z test_mismatching_dtype_no_check (__main__.TestAssertClose) ... ok (0.009s) 2022-12-01T10:55:59.8835555Z test_mismatching_layout (__main__.TestAssertClose) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_layout test_testing.py line 616 2022-12-01T10:55:59.8835846Z due to: 2022-12-01T10:55:59.8836029Z Traceback (most recent call last): 2022-12-01T10:55:59.8836369Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.8836623Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.8838625Z NotImplementedError: Could not run 'aten::to_sparse_csr' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csr' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.8839933Z 2022-12-01T10:55:59.8840109Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.8840489Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:59.8840894Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:55:59.8841367Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.8841818Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.8842261Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.8842707Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.8843123Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.8843513Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8843904Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8844288Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.8844719Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.8845159Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8845580Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8845980Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8846395Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8846905Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8847454Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8847847Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8848258Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8848658Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8849066Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8849466Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8849879Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8850307Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8850747Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8851241Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8851680Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8852087Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:55:59.8852484Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.8852919Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.8853362Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.8853841Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.8854281Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.8854688Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.8855124Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.8855563Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.8856021Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.8856460Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.8856696Z 2022-12-01T10:55:59.8856700Z 2022-12-01T10:55:59.8856839Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.8857003Z 2022-12-01T10:55:59.8857097Z Traceback (most recent call last): 2022-12-01T10:55:59.8857462Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:59.8857773Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:59.8858092Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:55:59.8858264Z 2022-12-01T10:55:59.8858401Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8858567Z 2022-12-01T10:55:59.8858657Z Traceback (most recent call last): 2022-12-01T10:55:59.8858920Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8859194Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8859431Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8859573Z 2022-12-01T10:55:59.8859629Z from user code: 2022-12-01T10:55:59.8859856Z File "test_testing.py", line 619, in test_mismatching_layout 2022-12-01T10:55:59.8860098Z sparse_csr = strided.to_sparse_csr() 2022-12-01T10:55:59.8860229Z 2022-12-01T10:55:59.8860345Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8860562Z ========== 2022-12-01T10:55:59.8861099Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:77: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-12-01T10:55:59.8861665Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:55:59.8861879Z ok (0.019s) 2022-12-01T10:55:59.8862368Z test_mismatching_layout_no_check (__main__.TestAssertClose) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_layout_no_check test_testing.py line 626 2022-12-01T10:55:59.8862687Z due to: 2022-12-01T10:55:59.8862870Z Traceback (most recent call last): 2022-12-01T10:55:59.8863196Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.8863466Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.8867000Z NotImplementedError: Could not run 'aten::to_sparse_csr' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csr' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.8868174Z 2022-12-01T10:55:59.8868346Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.8868729Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:55:59.8869133Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:55:59.8869567Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.8870020Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.8870459Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.8870909Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.8871314Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.8871712Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8872105Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8872504Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.8872932Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.8873374Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8873792Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8874208Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8874606Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8875013Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8875464Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8875872Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8876267Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8876673Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8877110Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8877522Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8877918Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8878345Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8878783Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8879217Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8879643Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:55:59.8880051Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:55:59.8880443Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.8880849Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.8881274Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.8881748Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.8882182Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.8882601Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.8883022Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.8883458Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.8883919Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.8884370Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.8884599Z 2022-12-01T10:55:59.8884604Z 2022-12-01T10:55:59.8884727Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.8884890Z 2022-12-01T10:55:59.8884980Z Traceback (most recent call last): 2022-12-01T10:55:59.8885341Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:59.8885665Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:59.8885968Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:55:59.8886139Z 2022-12-01T10:55:59.8886325Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8886488Z 2022-12-01T10:55:59.8886579Z Traceback (most recent call last): 2022-12-01T10:55:59.8886942Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8887349Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8887584Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8887728Z 2022-12-01T10:55:59.8887803Z from user code: 2022-12-01T10:55:59.8888022Z File "test_testing.py", line 629, in test_mismatching_layout_no_check 2022-12-01T10:55:59.8888276Z sparse_csr = strided.to_sparse_csr() 2022-12-01T10:55:59.8888409Z 2022-12-01T10:55:59.8888609Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8888817Z ========== 2022-12-01T10:55:59.8888977Z ok (0.020s) 2022-12-01T10:55:59.8889207Z test_mismatching_shape (__main__.TestAssertClose) ... ok (0.008s) 2022-12-01T10:55:59.8889480Z test_mismatching_stride (__main__.TestAssertClose) ... ok (0.010s) 2022-12-01T10:55:59.8889779Z test_mismatching_stride_no_check (__main__.TestAssertClose) ... ok (0.010s) 2022-12-01T10:55:59.8890073Z test_mismatching_types (__main__.TestAssertClose) ... ok (0.011s) 2022-12-01T10:55:59.8890368Z test_mismatching_types_subclasses (__main__.TestAssertClose) ... ok (0.007s) 2022-12-01T10:55:59.8890663Z test_mismatching_types_type_equality (__main__.TestAssertClose) ... ok (0.007s) 2022-12-01T10:55:59.8890963Z test_mismatching_values (__main__.TestAssertClose) ... ok (0.008s) 2022-12-01T10:55:59.8891253Z test_mismatching_values_atol (__main__.TestAssertClose) ... ok (0.008s) 2022-12-01T10:55:59.8891535Z test_mismatching_values_rtol (__main__.TestAssertClose) ... ok (0.008s) 2022-12-01T10:55:59.8891801Z test_none (__main__.TestAssertClose) ... ok (0.002s) 2022-12-01T10:55:59.8892055Z test_none_mismatch (__main__.TestAssertClose) ... ok (0.013s) 2022-12-01T10:55:59.8892299Z test_numpy (__main__.TestAssertClose) ... ok (0.012s) 2022-12-01T10:55:59.8892555Z test_only_atol (__main__.TestAssertClose) ... ok (0.007s) 2022-12-01T10:55:59.8892810Z test_only_rtol (__main__.TestAssertClose) ... ok (0.007s) 2022-12-01T10:55:59.8893056Z test_scalar (__main__.TestAssertClose) ... ok (0.026s) 2022-12-01T10:55:59.8893317Z test_unexpected_error_compare (__main__.TestAssertClose) ... ok (0.009s) 2022-12-01T10:55:59.8893614Z test_unexpected_error_originate (__main__.TestAssertClose) ... ok (0.008s) 2022-12-01T10:55:59.8894111Z test_unknown_layout (__main__.TestAssertClose) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_unknown_layout test_testing.py line 600 2022-12-01T10:55:59.8894394Z due to: 2022-12-01T10:55:59.8894578Z Traceback (most recent call last): 2022-12-01T10:55:59.8894918Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.8895188Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.8897074Z NotImplementedError: Could not run 'aten::to_mkldnn' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_mkldnn' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.8898243Z 2022-12-01T10:55:59.8898413Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.8898887Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.8899320Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.8899760Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.8900216Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.8900662Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.8901044Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8901436Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8901834Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.8902271Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.8902698Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8903114Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8903529Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8903939Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8904338Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8904737Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8905139Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8905539Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8905928Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8906331Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8906741Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8907152Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8907561Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8907995Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8908420Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8908862Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_0.cpp:14883 [autograd kernel] 2022-12-01T10:55:59.8909251Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_0.cpp:16458 [kernel] 2022-12-01T10:55:59.8909679Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.8910087Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.8910529Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.8910991Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.8911460Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.8911885Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.8912320Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.8912749Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.8913204Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.8913659Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.8913889Z 2022-12-01T10:55:59.8913894Z 2022-12-01T10:55:59.8914029Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.8914196Z 2022-12-01T10:55:59.8914276Z Traceback (most recent call last): 2022-12-01T10:55:59.8914628Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:55:59.8914955Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:55:59.8915252Z NotImplementedError: Cannot access storage of OpaqueTensorImpl 2022-12-01T10:55:59.8915422Z 2022-12-01T10:55:59.8915557Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8915720Z 2022-12-01T10:55:59.8915811Z Traceback (most recent call last): 2022-12-01T10:55:59.8916086Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8916344Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8916576Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8916715Z 2022-12-01T10:55:59.8916783Z from user code: 2022-12-01T10:55:59.8916988Z File "test_testing.py", line 603, in test_unknown_layout 2022-12-01T10:55:59.8917217Z expected = actual.to_mkldnn() 2022-12-01T10:55:59.8917339Z 2022-12-01T10:55:59.8917470Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8917686Z ========== 2022-12-01T10:55:59.8917830Z ok (0.014s) 2022-12-01T10:55:59.8918047Z test_unknown_type (__main__.TestAssertClose) ... ok (0.002s) 2022-12-01T10:55:59.8918355Z test_mapping_mismatching_keys (__main__.TestAssertCloseContainer) ... ok (0.007s) 2022-12-01T10:55:59.8918681Z test_mapping_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.015s) 2022-12-01T10:55:59.8919014Z test_sequence_mismatching_len (__main__.TestAssertCloseContainer) ... ok (0.007s) 2022-12-01T10:55:59.8919353Z test_sequence_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.014s) 2022-12-01T10:55:59.8919663Z test_abs_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.009s) 2022-12-01T10:55:59.8919978Z test_abs_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.002s) 2022-12-01T10:55:59.8920285Z test_atol (__main__.TestAssertCloseErrorMessage) ... ok (0.009s) 2022-12-01T10:55:59.8920598Z test_identifier_scalars (__main__.TestAssertCloseErrorMessage) ... ok (0.002s) 2022-12-01T10:55:59.8920918Z test_identifier_tensor_likes (__main__.TestAssertCloseErrorMessage) ... ok (0.009s) 2022-12-01T10:55:59.8921287Z test_mismatched_elements (__main__.TestAssertCloseErrorMessage) ... ok (0.009s) 2022-12-01T10:55:59.8921609Z test_msg_callable (__main__.TestAssertCloseErrorMessage) ... ok (0.008s) 2022-12-01T10:55:59.8921907Z test_msg_str (__main__.TestAssertCloseErrorMessage) ... ok (0.008s) 2022-12-01T10:55:59.8922211Z test_not_close (__main__.TestAssertCloseErrorMessage) ... ok (0.014s) 2022-12-01T10:55:59.8922514Z test_not_equal (__main__.TestAssertCloseErrorMessage) ... ok (0.010s) 2022-12-01T10:55:59.8922821Z test_rel_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.009s) 2022-12-01T10:55:59.8923149Z test_rel_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.002s) 2022-12-01T10:55:59.8923456Z test_rtol (__main__.TestAssertCloseErrorMessage) ... ok (0.009s) 2022-12-01T10:55:59.8923762Z test_zero_div_zero (__main__.TestAssertCloseErrorMessage) ... ok (0.009s) 2022-12-01T10:55:59.8924295Z test_matching_per_channel (__main__.TestAssertCloseQuantized) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching_per_channel test_testing.py line 1387 2022-12-01T10:55:59.8924629Z due to: 2022-12-01T10:55:59.8924813Z Traceback (most recent call last): 2022-12-01T10:55:59.8925202Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:55:59.8925547Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:55:59.8925918Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:55:59.8926134Z 2022-12-01T10:55:59.8926270Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8926437Z 2022-12-01T10:55:59.8926515Z Traceback (most recent call last): 2022-12-01T10:55:59.8926863Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:59.8929001Z ) from e 2022-12-01T10:55:59.8929348Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:59.8929603Z 2022-12-01T10:55:59.8929740Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8929905Z 2022-12-01T10:55:59.8929996Z Traceback (most recent call last): 2022-12-01T10:55:59.8930276Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8930534Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8930771Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8930913Z 2022-12-01T10:55:59.8930983Z from user code: 2022-12-01T10:55:59.8931213Z File "test_testing.py", line 1393, in test_matching_per_channel 2022-12-01T10:55:59.8931427Z dtype=torch.qint32, 2022-12-01T10:55:59.8931541Z 2022-12-01T10:55:59.8931675Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8931892Z ========== 2022-12-01T10:55:59.8932036Z ok (0.006s) 2022-12-01T10:55:59.8932513Z test_matching_per_tensor (__main__.TestAssertCloseQuantized) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching_per_tensor test_testing.py line 1380 2022-12-01T10:55:59.8932838Z due to: 2022-12-01T10:55:59.8933008Z Traceback (most recent call last): 2022-12-01T10:55:59.8933393Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:55:59.8933745Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:55:59.8934114Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:55:59.8934311Z 2022-12-01T10:55:59.8934449Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8934612Z 2022-12-01T10:55:59.8934702Z Traceback (most recent call last): 2022-12-01T10:55:59.8934982Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:59.8935313Z ) from e 2022-12-01T10:55:59.8935655Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:59.8935918Z 2022-12-01T10:55:59.8936055Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8936218Z 2022-12-01T10:55:59.8936310Z Traceback (most recent call last): 2022-12-01T10:55:59.8936573Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8936846Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8937081Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8937224Z 2022-12-01T10:55:59.8937320Z from user code: 2022-12-01T10:55:59.8937545Z File "test_testing.py", line 1381, in test_matching_per_tensor 2022-12-01T10:55:59.8937860Z actual = torch.quantize_per_tensor(torch.tensor(1.0), scale=1.0, zero_point=0, dtype=torch.qint32) 2022-12-01T10:55:59.8938051Z 2022-12-01T10:55:59.8938184Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8938388Z ========== 2022-12-01T10:55:59.8938543Z ok (0.004s) 2022-12-01T10:55:59.8939022Z test_mismatching_is_quantized (__main__.TestAssertCloseQuantized) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_is_quantized test_testing.py line 1357 2022-12-01T10:55:59.8939348Z due to: 2022-12-01T10:55:59.8939530Z Traceback (most recent call last): 2022-12-01T10:55:59.8939919Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:55:59.8940273Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:55:59.8940628Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:55:59.8940838Z 2022-12-01T10:55:59.8940972Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8941135Z 2022-12-01T10:55:59.8941226Z Traceback (most recent call last): 2022-12-01T10:55:59.8941493Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:59.8941736Z ) from e 2022-12-01T10:55:59.8942075Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:59.8942338Z 2022-12-01T10:55:59.8942473Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8942620Z 2022-12-01T10:55:59.8942709Z Traceback (most recent call last): 2022-12-01T10:55:59.8942986Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8943257Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8943476Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8943617Z 2022-12-01T10:55:59.8943686Z from user code: 2022-12-01T10:55:59.8943914Z File "test_testing.py", line 1359, in test_mismatching_is_quantized 2022-12-01T10:55:59.8944229Z expected = torch.quantize_per_tensor(actual, scale=1.0, zero_point=0, dtype=torch.qint32) 2022-12-01T10:55:59.8944401Z 2022-12-01T10:55:59.8944532Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8944748Z ========== 2022-12-01T10:55:59.8944905Z ok (0.004s) 2022-12-01T10:55:59.8945352Z test_mismatching_qscheme (__main__.TestAssertCloseQuantized) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_qscheme test_testing.py line 1365 2022-12-01T10:55:59.8945680Z due to: 2022-12-01T10:55:59.8964873Z Traceback (most recent call last): 2022-12-01T10:55:59.8965341Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:55:59.8965710Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:55:59.8966086Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:55:59.8966304Z 2022-12-01T10:55:59.8966539Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8966707Z 2022-12-01T10:55:59.8966864Z Traceback (most recent call last): 2022-12-01T10:55:59.8967319Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:55:59.8967565Z ) from e 2022-12-01T10:55:59.8967896Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:55:59.8968163Z 2022-12-01T10:55:59.8968300Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8968463Z 2022-12-01T10:55:59.8968627Z Traceback (most recent call last): 2022-12-01T10:55:59.8968908Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8969169Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8969403Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8969549Z 2022-12-01T10:55:59.8969617Z from user code: 2022-12-01T10:55:59.8969828Z File "test_testing.py", line 1367, in test_mismatching_qscheme 2022-12-01T10:55:59.8970124Z actual = torch.quantize_per_tensor(t, scale=1.0, zero_point=0, dtype=torch.qint32) 2022-12-01T10:55:59.8970303Z 2022-12-01T10:55:59.8970433Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8970653Z ========== 2022-12-01T10:55:59.8970795Z ok (0.004s) 2022-12-01T10:55:59.8971240Z test_matching (__main__.TestAssertCloseSparseBSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching test_testing.py line 1300 2022-12-01T10:55:59.8971540Z due to: 2022-12-01T10:55:59.8971703Z Traceback (most recent call last): 2022-12-01T10:55:59.8972040Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.8972305Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.8974311Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.8975632Z 2022-12-01T10:55:59.8975803Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.8976231Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.8976677Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.8977103Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.8977553Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.8977969Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.8978361Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8978791Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.8979187Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.8979619Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.8980059Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8980466Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8980905Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8981318Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8981726Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8982124Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8982532Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8982933Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8983343Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8983738Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8984149Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8984563Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8984986Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8985405Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8985830Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8986271Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.8986677Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.8987056Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.8987458Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.8987897Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.8988373Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.8988804Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.8989224Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.8989662Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.8990154Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.8990600Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.8991051Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.8991280Z 2022-12-01T10:55:59.8991284Z 2022-12-01T10:55:59.8991422Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.8991616Z 2022-12-01T10:55:59.8991710Z Traceback (most recent call last): 2022-12-01T10:55:59.8992047Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.8992320Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.8992626Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.8992776Z 2022-12-01T10:55:59.8992911Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.8993062Z 2022-12-01T10:55:59.8993154Z Traceback (most recent call last): 2022-12-01T10:55:59.8993432Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.8993705Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.8993924Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.8994067Z 2022-12-01T10:55:59.8994137Z from user code: 2022-12-01T10:55:59.8994346Z File "test_testing.py", line 1304, in test_matching 2022-12-01T10:55:59.8994618Z actual = torch.sparse_bsc_tensor(ccol_indices, row_indices, values, size=(2, 2)) 2022-12-01T10:55:59.8994794Z 2022-12-01T10:55:59.8994925Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.8995143Z ========== 2022-12-01T10:55:59.8995300Z ok (0.019s) 2022-12-01T10:55:59.8995781Z test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseBSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_ccol_indices_msg test_testing.py line 1310 2022-12-01T10:55:59.8996124Z due to: 2022-12-01T10:55:59.8996309Z Traceback (most recent call last): 2022-12-01T10:55:59.8996634Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.8996903Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.8998903Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9000246Z 2022-12-01T10:55:59.9000416Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9000827Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9001273Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9001739Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9002189Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9002594Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9002983Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9003372Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9003783Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9004215Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9004660Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9005078Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9005475Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9005888Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9006302Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9006716Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9007329Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9007740Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9008144Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9008548Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9008945Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9009360Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9009784Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9010219Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9010635Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9011074Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9011478Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9011869Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9012259Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9012697Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9013237Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9013676Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9014082Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9014511Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9014987Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9015449Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9015890Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9016118Z 2022-12-01T10:55:59.9016123Z 2022-12-01T10:55:59.9016261Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9016425Z 2022-12-01T10:55:59.9016518Z Traceback (most recent call last): 2022-12-01T10:55:59.9016874Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9017129Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9017430Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9017579Z 2022-12-01T10:55:59.9017716Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9017882Z 2022-12-01T10:55:59.9017974Z Traceback (most recent call last): 2022-12-01T10:55:59.9018234Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9018510Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9018744Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9018886Z 2022-12-01T10:55:59.9018943Z from user code: 2022-12-01T10:55:59.9019174Z File "test_testing.py", line 1314, in test_mismatching_ccol_indices_msg 2022-12-01T10:55:59.9019506Z actual = torch.sparse_bsc_tensor(actual_ccol_indices, actual_row_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9019702Z 2022-12-01T10:55:59.9019833Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9020039Z ========== 2022-12-01T10:55:59.9020196Z ok (0.020s) 2022-12-01T10:55:59.9020686Z test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseBSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_row_indices_msg test_testing.py line 1325 2022-12-01T10:55:59.9021011Z due to: 2022-12-01T10:55:59.9021193Z Traceback (most recent call last): 2022-12-01T10:55:59.9021527Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9021786Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9023776Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9025149Z 2022-12-01T10:55:59.9025317Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9025739Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9026174Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9026645Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9027101Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9027515Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9027893Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9028281Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9028675Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9029108Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9029537Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9029954Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9030365Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9030780Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9031180Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9031584Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9031990Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9032398Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9032795Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9033200Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9033610Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9034008Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9034433Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9034866Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9035299Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9035738Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9036172Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9036563Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9036967Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9037396Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9037898Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9038336Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9038757Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9039180Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9039618Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9040073Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9040529Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9040758Z 2022-12-01T10:55:59.9040763Z 2022-12-01T10:55:59.9040897Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9041047Z 2022-12-01T10:55:59.9041140Z Traceback (most recent call last): 2022-12-01T10:55:59.9041486Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9041756Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9042044Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9042195Z 2022-12-01T10:55:59.9042330Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9042495Z 2022-12-01T10:55:59.9042586Z Traceback (most recent call last): 2022-12-01T10:55:59.9042861Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9043119Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9043355Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9043498Z 2022-12-01T10:55:59.9043568Z from user code: 2022-12-01T10:55:59.9043787Z File "test_testing.py", line 1329, in test_mismatching_row_indices_msg 2022-12-01T10:55:59.9044117Z actual = torch.sparse_bsc_tensor(actual_ccol_indices, actual_row_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9044314Z 2022-12-01T10:55:59.9044445Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9044663Z ========== 2022-12-01T10:55:59.9044808Z ok (0.020s) 2022-12-01T10:55:59.9045280Z test_mismatching_values_msg (__main__.TestAssertCloseSparseBSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_values_msg test_testing.py line 1340 2022-12-01T10:55:59.9045609Z due to: 2022-12-01T10:55:59.9045777Z Traceback (most recent call last): 2022-12-01T10:55:59.9046116Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9046385Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9048687Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9050064Z 2022-12-01T10:55:59.9050233Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9050659Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9051108Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9051534Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9051992Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9052408Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9052801Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9053178Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9053575Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9054010Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9054452Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9054857Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9055272Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9055685Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9056101Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9056502Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9056903Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9057313Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9057722Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9058116Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9058525Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9058940Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9059396Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9059815Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9060243Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9060682Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9061117Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9061496Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9061905Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9062345Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9062821Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9063245Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9063665Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9064099Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9064537Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9064981Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9065431Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9065659Z 2022-12-01T10:55:59.9065663Z 2022-12-01T10:55:59.9065800Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9065963Z 2022-12-01T10:55:59.9066055Z Traceback (most recent call last): 2022-12-01T10:55:59.9066393Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9066660Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9066957Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9067105Z 2022-12-01T10:55:59.9067226Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9067392Z 2022-12-01T10:55:59.9067482Z Traceback (most recent call last): 2022-12-01T10:55:59.9067756Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9068026Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9068246Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9068387Z 2022-12-01T10:55:59.9068456Z from user code: 2022-12-01T10:55:59.9068681Z File "test_testing.py", line 1344, in test_mismatching_values_msg 2022-12-01T10:55:59.9068990Z actual = torch.sparse_bsc_tensor(actual_ccol_indices, actual_row_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9069183Z 2022-12-01T10:55:59.9069317Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9069534Z ========== 2022-12-01T10:55:59.9069678Z ok (0.021s) 2022-12-01T10:55:59.9070108Z test_matching (__main__.TestAssertCloseSparseBSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching test_testing.py line 1242 2022-12-01T10:55:59.9070461Z due to: 2022-12-01T10:55:59.9070641Z Traceback (most recent call last): 2022-12-01T10:55:59.9070966Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9071235Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9073260Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9074584Z 2022-12-01T10:55:59.9074738Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9075159Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9075610Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9076052Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9076499Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9076913Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9077308Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9077698Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9078081Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9078514Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9078955Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9079371Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9079769Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9080178Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9080586Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9080997Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9081390Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9081789Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9082232Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9082636Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9083034Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9083445Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9083901Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9084335Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9084753Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9085188Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9085596Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9085983Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9086378Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9086887Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9087471Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9087913Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9088315Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9088750Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9089186Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9089642Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9090080Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9090088Z 2022-12-01T10:55:59.9090092Z 2022-12-01T10:55:59.9090227Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9090233Z 2022-12-01T10:55:59.9090324Z Traceback (most recent call last): 2022-12-01T10:55:59.9090559Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9090656Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9090834Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9090839Z 2022-12-01T10:55:59.9090973Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9090978Z 2022-12-01T10:55:59.9091068Z Traceback (most recent call last): 2022-12-01T10:55:59.9091213Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9091311Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9091417Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9091422Z 2022-12-01T10:55:59.9091559Z from user code: 2022-12-01T10:55:59.9091670Z File "test_testing.py", line 1246, in test_matching 2022-12-01T10:55:59.9091819Z actual = torch.sparse_bsr_tensor(crow_indices, col_indices, values, size=(2, 2)) 2022-12-01T10:55:59.9091824Z 2022-12-01T10:55:59.9091955Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9092018Z ========== 2022-12-01T10:55:59.9092072Z ok (0.019s) 2022-12-01T10:55:59.9092465Z test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseBSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_col_indices_msg test_testing.py line 1267 2022-12-01T10:55:59.9092529Z due to: 2022-12-01T10:55:59.9092620Z Traceback (most recent call last): 2022-12-01T10:55:59.9092877Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9092981Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9094833Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9094842Z 2022-12-01T10:55:59.9095015Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9095258Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9095461Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9095688Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9095901Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9096092Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9096267Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9096459Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9096649Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9096874Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9097079Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9097281Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9097483Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9097681Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9097912Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9098113Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9098295Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9098489Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9098712Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9098910Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9099108Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9099308Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9099518Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9099727Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9099933Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9100146Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9100312Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9100509Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9100705Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9100936Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9101168Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9101361Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9101569Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9101777Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9101991Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9102220Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9102415Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9102420Z 2022-12-01T10:55:59.9102437Z 2022-12-01T10:55:59.9102560Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9102567Z 2022-12-01T10:55:59.9102658Z Traceback (most recent call last): 2022-12-01T10:55:59.9102880Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9102978Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9103190Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9103195Z 2022-12-01T10:55:59.9103331Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9103336Z 2022-12-01T10:55:59.9103424Z Traceback (most recent call last): 2022-12-01T10:55:59.9103581Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9103663Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9103771Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9103776Z 2022-12-01T10:55:59.9103846Z from user code: 2022-12-01T10:55:59.9103981Z File "test_testing.py", line 1271, in test_mismatching_col_indices_msg 2022-12-01T10:55:59.9104183Z actual = torch.sparse_bsr_tensor(actual_crow_indices, actual_col_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9104189Z 2022-12-01T10:55:59.9104320Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9104382Z ========== 2022-12-01T10:55:59.9104451Z ok (0.020s) 2022-12-01T10:55:59.9104833Z test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseBSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_crow_indices_msg test_testing.py line 1252 2022-12-01T10:55:59.9104898Z due to: 2022-12-01T10:55:59.9104990Z Traceback (most recent call last): 2022-12-01T10:55:59.9105206Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9105305Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9107178Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9107188Z 2022-12-01T10:55:59.9107362Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9107602Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9107801Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9108031Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9108246Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9108436Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9108622Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9108798Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9108989Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9109212Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9109450Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9109650Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9109851Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9110047Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9110273Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9110472Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9110666Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9110850Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9111043Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9111240Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9111441Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9111640Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9111851Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9112063Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9112267Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9112478Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9112656Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9112840Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9113035Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9113267Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9113502Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9113694Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9113903Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9114113Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9114327Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9114553Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9114795Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9114800Z 2022-12-01T10:55:59.9114805Z 2022-12-01T10:55:59.9114940Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9114945Z 2022-12-01T10:55:59.9115023Z Traceback (most recent call last): 2022-12-01T10:55:59.9115245Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9115345Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9115524Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9115559Z 2022-12-01T10:55:59.9115696Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9115701Z 2022-12-01T10:55:59.9115791Z Traceback (most recent call last): 2022-12-01T10:55:59.9115947Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9116045Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9116140Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9116145Z 2022-12-01T10:55:59.9116215Z from user code: 2022-12-01T10:55:59.9116350Z File "test_testing.py", line 1256, in test_mismatching_crow_indices_msg 2022-12-01T10:55:59.9116519Z actual = torch.sparse_bsr_tensor(actual_crow_indices, actual_col_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9116525Z 2022-12-01T10:55:59.9116654Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9116719Z ========== 2022-12-01T10:55:59.9116786Z ok (0.020s) 2022-12-01T10:55:59.9117165Z test_mismatching_values_msg (__main__.TestAssertCloseSparseBSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_values_msg test_testing.py line 1282 2022-12-01T10:55:59.9117216Z due to: 2022-12-01T10:55:59.9117307Z Traceback (most recent call last): 2022-12-01T10:55:59.9117522Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9117622Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9119489Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9119498Z 2022-12-01T10:55:59.9119670Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9119906Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9120103Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9120334Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9120546Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9120736Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9120969Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9121158Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9121338Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9121563Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9121796Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9121999Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9122200Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9122398Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9122595Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9122792Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9122987Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9123181Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9123361Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9123560Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9123759Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9123957Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9124169Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9124380Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9124584Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9124801Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9124980Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9125176Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9125356Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9125591Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9125823Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9126016Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9126258Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9126468Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9126680Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9127115Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9127382Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9127389Z 2022-12-01T10:55:59.9127393Z 2022-12-01T10:55:59.9127531Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9127537Z 2022-12-01T10:55:59.9127630Z Traceback (most recent call last): 2022-12-01T10:55:59.9127844Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9127941Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9128115Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9128120Z 2022-12-01T10:55:59.9128254Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9128258Z 2022-12-01T10:55:59.9128353Z Traceback (most recent call last): 2022-12-01T10:55:59.9128511Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9128609Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9128718Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9128723Z 2022-12-01T10:55:59.9128779Z from user code: 2022-12-01T10:55:59.9128907Z File "test_testing.py", line 1286, in test_mismatching_values_msg 2022-12-01T10:55:59.9129082Z actual = torch.sparse_bsr_tensor(actual_crow_indices, actual_col_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9129090Z 2022-12-01T10:55:59.9129220Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9129283Z ========== 2022-12-01T10:55:59.9129349Z ok (0.021s) 2022-12-01T10:55:59.9129718Z test_matching_coalesced (__main__.TestAssertCloseSparseCOO) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching_coalesced test_testing.py line 1033 2022-12-01T10:55:59.9129782Z due to: 2022-12-01T10:55:59.9129860Z Traceback (most recent call last): 2022-12-01T10:55:59.9130021Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:59.9130131Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:59.9130550Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:59.9130559Z 2022-12-01T10:55:59.9130694Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9130699Z 2022-12-01T10:55:59.9130791Z Traceback (most recent call last): 2022-12-01T10:55:59.9130948Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9131042Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9131148Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9131153Z 2022-12-01T10:55:59.9131209Z from user code: 2022-12-01T10:55:59.9131330Z File "test_testing.py", line 1039, in test_matching_coalesced 2022-12-01T10:55:59.9131472Z actual = torch.sparse_coo_tensor(indices, values, size=(2, 2)).coalesce() 2022-12-01T10:55:59.9131477Z 2022-12-01T10:55:59.9131611Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9131674Z ========== 2022-12-01T10:55:59.9131741Z ok (0.008s) 2022-12-01T10:55:59.9132111Z test_matching_uncoalesced (__main__.TestAssertCloseSparseCOO) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching_uncoalesced test_testing.py line 1045 2022-12-01T10:55:59.9132215Z due to: 2022-12-01T10:55:59.9132293Z Traceback (most recent call last): 2022-12-01T10:55:59.9132451Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:59.9132557Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:59.9132974Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:59.9132980Z 2022-12-01T10:55:59.9133143Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9133150Z 2022-12-01T10:55:59.9133243Z Traceback (most recent call last): 2022-12-01T10:55:59.9133397Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9133495Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9133588Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9133593Z 2022-12-01T10:55:59.9133661Z from user code: 2022-12-01T10:55:59.9133782Z File "test_testing.py", line 1051, in test_matching_uncoalesced 2022-12-01T10:55:59.9133908Z actual = torch.sparse_coo_tensor(indices, values, size=(2, 2)) 2022-12-01T10:55:59.9133913Z 2022-12-01T10:55:59.9134042Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9134105Z ========== 2022-12-01T10:55:59.9134172Z ok (0.008s) 2022-12-01T10:55:59.9134554Z test_mismatching_indices_msg (__main__.TestAssertCloseSparseCOO) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_indices_msg test_testing.py line 1085 2022-12-01T10:55:59.9134606Z due to: 2022-12-01T10:55:59.9134696Z Traceback (most recent call last): 2022-12-01T10:55:59.9134853Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:59.9134962Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:59.9135376Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:59.9135381Z 2022-12-01T10:55:59.9135516Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9135521Z 2022-12-01T10:55:59.9135612Z Traceback (most recent call last): 2022-12-01T10:55:59.9135766Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9135860Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9135955Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9135960Z 2022-12-01T10:55:59.9136030Z from user code: 2022-12-01T10:55:59.9136158Z File "test_testing.py", line 1091, in test_mismatching_indices_msg 2022-12-01T10:55:59.9136301Z actual = torch.sparse_coo_tensor(actual_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9136308Z 2022-12-01T10:55:59.9136438Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9136501Z ========== 2022-12-01T10:55:59.9136566Z ok (0.009s) 2022-12-01T10:55:59.9136910Z test_mismatching_nnz (__main__.TestAssertCloseSparseCOO) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_nnz test_testing.py line 1066 2022-12-01T10:55:59.9136975Z due to: 2022-12-01T10:55:59.9137066Z Traceback (most recent call last): 2022-12-01T10:55:59.9137224Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:59.9137329Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:59.9137747Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:59.9137753Z 2022-12-01T10:55:59.9137920Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9137925Z 2022-12-01T10:55:59.9138015Z Traceback (most recent call last): 2022-12-01T10:55:59.9138169Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9138251Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9138356Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9138361Z 2022-12-01T10:55:59.9138431Z from user code: 2022-12-01T10:55:59.9138550Z File "test_testing.py", line 1072, in test_mismatching_nnz 2022-12-01T10:55:59.9138695Z actual = torch.sparse_coo_tensor(actual_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9138700Z 2022-12-01T10:55:59.9138860Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9138925Z ========== 2022-12-01T10:55:59.9138991Z ok (0.008s) 2022-12-01T10:55:59.9139133Z test_mismatching_sparse_dims (__main__.TestAssertCloseSparseCOO) ... ok (0.019s) 2022-12-01T10:55:59.9139512Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCOO) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_values_msg test_testing.py line 1104 2022-12-01T10:55:59.9139576Z due to: 2022-12-01T10:55:59.9139668Z Traceback (most recent call last): 2022-12-01T10:55:59.9139825Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:55:59.9139931Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:55:59.9140345Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:55:59.9140354Z 2022-12-01T10:55:59.9140489Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9140495Z 2022-12-01T10:55:59.9140584Z Traceback (most recent call last): 2022-12-01T10:55:59.9140725Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9140825Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9140930Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9140935Z 2022-12-01T10:55:59.9141004Z from user code: 2022-12-01T10:55:59.9141133Z File "test_testing.py", line 1110, in test_mismatching_values_msg 2022-12-01T10:55:59.9141276Z actual = torch.sparse_coo_tensor(actual_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9141280Z 2022-12-01T10:55:59.9141410Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9141472Z ========== 2022-12-01T10:55:59.9141525Z ok (0.009s) 2022-12-01T10:55:59.9141858Z test_matching (__main__.TestAssertCloseSparseCSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching test_testing.py line 1184 2022-12-01T10:55:59.9141922Z due to: 2022-12-01T10:55:59.9142014Z Traceback (most recent call last): 2022-12-01T10:55:59.9142231Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9142332Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9144213Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9144255Z 2022-12-01T10:55:59.9144426Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9144662Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9144860Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9145116Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9145331Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9145506Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9145695Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9145885Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9146074Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9146302Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9146509Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9146709Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9146908Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9147109Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9147304Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9147491Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9147688Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9147880Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9148073Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9148270Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9148469Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9148666Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9148879Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9149092Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9149294Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9149495Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9149708Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9149903Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9150096Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9150328Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9150594Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9150791Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9151004Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9151217Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9151431Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9151648Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9151861Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9151866Z 2022-12-01T10:55:59.9151871Z 2022-12-01T10:55:59.9152007Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9152013Z 2022-12-01T10:55:59.9152104Z Traceback (most recent call last): 2022-12-01T10:55:59.9152332Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9152434Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9152610Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9152615Z 2022-12-01T10:55:59.9152751Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9152756Z 2022-12-01T10:55:59.9152846Z Traceback (most recent call last): 2022-12-01T10:55:59.9152992Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9153089Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9153198Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9153203Z 2022-12-01T10:55:59.9153273Z from user code: 2022-12-01T10:55:59.9153385Z File "test_testing.py", line 1188, in test_matching 2022-12-01T10:55:59.9153535Z actual = torch.sparse_csc_tensor(ccol_indices, row_indices, values, size=(2, 2)) 2022-12-01T10:55:59.9153542Z 2022-12-01T10:55:59.9153673Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9153737Z ========== 2022-12-01T10:55:59.9153793Z ok (0.019s) 2022-12-01T10:55:59.9154187Z test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseCSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_ccol_indices_msg test_testing.py line 1194 2022-12-01T10:55:59.9154252Z due to: 2022-12-01T10:55:59.9154344Z Traceback (most recent call last): 2022-12-01T10:55:59.9154562Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9154659Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9156523Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9156601Z 2022-12-01T10:55:59.9156772Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9157008Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9157210Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9157437Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9157651Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9157839Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9158013Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9158200Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9158392Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9158619Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9158823Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9159023Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9159223Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9159425Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9159619Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9159816Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9160002Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9160193Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9160385Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9160582Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9160786Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9160985Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9161255Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9161465Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9161669Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9161883Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9162083Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9162281Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9162476Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9162711Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9162946Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9163140Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9163352Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9163564Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9163777Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9164008Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9164206Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9164224Z 2022-12-01T10:55:59.9164228Z 2022-12-01T10:55:59.9164351Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9164356Z 2022-12-01T10:55:59.9164446Z Traceback (most recent call last): 2022-12-01T10:55:59.9164669Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9164768Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9164941Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9164945Z 2022-12-01T10:55:59.9165080Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9165086Z 2022-12-01T10:55:59.9165176Z Traceback (most recent call last): 2022-12-01T10:55:59.9165333Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9165417Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9165525Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9165530Z 2022-12-01T10:55:59.9165600Z from user code: 2022-12-01T10:55:59.9165732Z File "test_testing.py", line 1198, in test_mismatching_ccol_indices_msg 2022-12-01T10:55:59.9165904Z actual = torch.sparse_csc_tensor(actual_ccol_indices, actual_row_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9165910Z 2022-12-01T10:55:59.9166044Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9166109Z ========== 2022-12-01T10:55:59.9166176Z ok (0.020s) 2022-12-01T10:55:59.9166555Z test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseCSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_row_indices_msg test_testing.py line 1209 2022-12-01T10:55:59.9166648Z due to: 2022-12-01T10:55:59.9166819Z Traceback (most recent call last): 2022-12-01T10:55:59.9167152Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9167251Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9169166Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9169177Z 2022-12-01T10:55:59.9169351Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9169588Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9169788Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9170014Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9170228Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9170422Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9170609Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9170785Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9170976Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9171203Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9171407Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9171611Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9171810Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9172009Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9172205Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9172407Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9172600Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9172780Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9173010Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9173205Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9173405Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9173604Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9173839Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9174051Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9174254Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9174468Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9174647Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9174828Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9175022Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9175253Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9175485Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9175681Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9175891Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9176101Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9176313Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9176545Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9176754Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9176759Z 2022-12-01T10:55:59.9176766Z 2022-12-01T10:55:59.9176902Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9176907Z 2022-12-01T10:55:59.9176986Z Traceback (most recent call last): 2022-12-01T10:55:59.9177207Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9177305Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9177479Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9177484Z 2022-12-01T10:55:59.9177620Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9177625Z 2022-12-01T10:55:59.9177714Z Traceback (most recent call last): 2022-12-01T10:55:59.9177873Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9177967Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9178061Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9178078Z 2022-12-01T10:55:59.9178165Z from user code: 2022-12-01T10:55:59.9178299Z File "test_testing.py", line 1213, in test_mismatching_row_indices_msg 2022-12-01T10:55:59.9178470Z actual = torch.sparse_csc_tensor(actual_ccol_indices, actual_row_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9178475Z 2022-12-01T10:55:59.9178606Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9178669Z ========== 2022-12-01T10:55:59.9178735Z ok (0.020s) 2022-12-01T10:55:59.9179111Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCSC) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_values_msg test_testing.py line 1224 2022-12-01T10:55:59.9179162Z due to: 2022-12-01T10:55:59.9179278Z Traceback (most recent call last): 2022-12-01T10:55:59.9179494Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9179591Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9181447Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9181457Z 2022-12-01T10:55:59.9181630Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9181865Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9182064Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9182290Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9182505Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9182693Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9182880Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9183070Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9183249Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9183474Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9183676Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9183876Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9184072Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9184264Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9184485Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9184681Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9184867Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9185063Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9185271Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9185468Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9185661Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9185858Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9186066Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9186275Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9186479Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9186688Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9186862Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9187051Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9187233Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9187460Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9187688Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9187878Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9188077Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9188282Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9188489Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9188715Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9188919Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9188924Z 2022-12-01T10:55:59.9188929Z 2022-12-01T10:55:59.9189062Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9189067Z 2022-12-01T10:55:59.9189152Z Traceback (most recent call last): 2022-12-01T10:55:59.9189361Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9189452Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9189651Z RuntimeError: `ccol_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9189656Z 2022-12-01T10:55:59.9189783Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9189788Z 2022-12-01T10:55:59.9189871Z Traceback (most recent call last): 2022-12-01T10:55:59.9190025Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9190116Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9190218Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9190222Z 2022-12-01T10:55:59.9190279Z from user code: 2022-12-01T10:55:59.9190428Z File "test_testing.py", line 1228, in test_mismatching_values_msg 2022-12-01T10:55:59.9190599Z actual = torch.sparse_csc_tensor(actual_ccol_indices, actual_row_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9190605Z 2022-12-01T10:55:59.9190727Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9190790Z ========== 2022-12-01T10:55:59.9190852Z ok (0.021s) 2022-12-01T10:55:59.9191183Z test_matching (__main__.TestAssertCloseSparseCSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matching test_testing.py line 1126 2022-12-01T10:55:59.9191241Z due to: 2022-12-01T10:55:59.9191318Z Traceback (most recent call last): 2022-12-01T10:55:59.9191526Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9191615Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9193471Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9193491Z 2022-12-01T10:55:59.9193647Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9193878Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9194074Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9194296Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9194503Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9194689Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9194868Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9195054Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9195243Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9195455Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9195677Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9195876Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9196074Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9196270Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9196484Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9196681Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9196873Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9197068Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9197258Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9197443Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9197641Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9197840Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9198044Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9198252Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9198447Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9198653Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9198832Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9199022Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9199213Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9199431Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9199663Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9199848Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9200054Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9200259Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9200472Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9200694Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9200937Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9200942Z 2022-12-01T10:55:59.9200947Z 2022-12-01T10:55:59.9201081Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9201086Z 2022-12-01T10:55:59.9201171Z Traceback (most recent call last): 2022-12-01T10:55:59.9201383Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9201467Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9201637Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9201641Z 2022-12-01T10:55:59.9201793Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9201800Z 2022-12-01T10:55:59.9201885Z Traceback (most recent call last): 2022-12-01T10:55:59.9202040Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9202133Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9202238Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9202243Z 2022-12-01T10:55:59.9202311Z from user code: 2022-12-01T10:55:59.9202409Z File "test_testing.py", line 1130, in test_matching 2022-12-01T10:55:59.9202552Z actual = torch.sparse_csr_tensor(crow_indices, col_indices, values, size=(2, 2)) 2022-12-01T10:55:59.9202557Z 2022-12-01T10:55:59.9202681Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9202742Z ========== 2022-12-01T10:55:59.9202809Z ok (0.019s) 2022-12-01T10:55:59.9203201Z test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseCSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_col_indices_msg test_testing.py line 1151 2022-12-01T10:55:59.9203264Z due to: 2022-12-01T10:55:59.9203355Z Traceback (most recent call last): 2022-12-01T10:55:59.9203558Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9203652Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9205512Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9205528Z 2022-12-01T10:55:59.9205691Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9205912Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9206108Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9206337Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9206549Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9206805Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9207132Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9207316Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9207500Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9207724Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9207960Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9208163Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9208360Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9208560Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9208754Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9208951Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9209142Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9209338Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9209534Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9209733Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9209919Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9210117Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9210329Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9210537Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9210740Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9210951Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9211131Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9211325Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9211518Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9211751Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9211984Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9212164Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9212402Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9212607Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9212813Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9213042Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9213270Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9213276Z 2022-12-01T10:55:59.9213280Z 2022-12-01T10:55:59.9213412Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9213417Z 2022-12-01T10:55:59.9213509Z Traceback (most recent call last): 2022-12-01T10:55:59.9213738Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9213828Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9213990Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9213995Z 2022-12-01T10:55:59.9214126Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9214131Z 2022-12-01T10:55:59.9214216Z Traceback (most recent call last): 2022-12-01T10:55:59.9214372Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9214463Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9214573Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9214578Z 2022-12-01T10:55:59.9214646Z from user code: 2022-12-01T10:55:59.9214778Z File "test_testing.py", line 1155, in test_mismatching_col_indices_msg 2022-12-01T10:55:59.9214937Z actual = torch.sparse_csr_tensor(actual_crow_indices, actual_col_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9214944Z 2022-12-01T10:55:59.9215074Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9215136Z ========== 2022-12-01T10:55:59.9215199Z ok (0.020s) 2022-12-01T10:55:59.9215590Z test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseCSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_crow_indices_msg test_testing.py line 1136 2022-12-01T10:55:59.9215655Z due to: 2022-12-01T10:55:59.9215743Z Traceback (most recent call last): 2022-12-01T10:55:59.9215957Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9216043Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9217915Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9217935Z 2022-12-01T10:55:59.9218099Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9218331Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9218545Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9218765Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9218974Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9219161Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9219370Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9219553Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9219740Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9219962Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9220159Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9220357Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9220543Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9220736Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9220928Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9221121Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9221311Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9221498Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9221686Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9221882Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9222077Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9222273Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9222473Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9222674Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9222871Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9223080Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9223259Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9223452Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9223666Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9223895Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9224120Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9224311Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9224532Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9224737Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9224948Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9225174Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9225380Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9225386Z 2022-12-01T10:55:59.9225390Z 2022-12-01T10:55:59.9225520Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9225525Z 2022-12-01T10:55:59.9225614Z Traceback (most recent call last): 2022-12-01T10:55:59.9225834Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9225932Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9226106Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9226111Z 2022-12-01T10:55:59.9226232Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9226239Z 2022-12-01T10:55:59.9226327Z Traceback (most recent call last): 2022-12-01T10:55:59.9226480Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9226567Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9226671Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9226675Z 2022-12-01T10:55:59.9226740Z from user code: 2022-12-01T10:55:59.9226869Z File "test_testing.py", line 1140, in test_mismatching_crow_indices_msg 2022-12-01T10:55:59.9227040Z actual = torch.sparse_csr_tensor(actual_crow_indices, actual_col_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9227045Z 2022-12-01T10:55:59.9227166Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9227226Z ========== 2022-12-01T10:55:59.9227291Z ok (0.020s) 2022-12-01T10:55:59.9227665Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCSR) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mismatching_values_msg test_testing.py line 1166 2022-12-01T10:55:59.9227726Z due to: 2022-12-01T10:55:59.9227815Z Traceback (most recent call last): 2022-12-01T10:55:59.9228026Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9228119Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9229993Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:55:59.9230027Z 2022-12-01T10:55:59.9230196Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:55:59.9230428Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:55:59.9230651Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:55:59.9230868Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:55:59.9231084Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:55:59.9231271Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:55:59.9231455Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9231644Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:55:59.9231834Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:55:59.9232060Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:55:59.9232260Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9232460Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9232655Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9232840Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9233033Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9233230Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9233415Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9233606Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9233800Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9233995Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9234186Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9234379Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9234589Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9234785Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9235007Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9235218Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:55:59.9235391Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:55:59.9235577Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:55:59.9235788Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:55:59.9236021Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:55:59.9236247Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:55:59.9236438Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:55:59.9236640Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:55:59.9236836Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:55:59.9237047Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:55:59.9237271Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:55:59.9237479Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:55:59.9237486Z 2022-12-01T10:55:59.9237490Z 2022-12-01T10:55:59.9237620Z During handling of the above exception, another exception occurred: 2022-12-01T10:55:59.9237626Z 2022-12-01T10:55:59.9237710Z Traceback (most recent call last): 2022-12-01T10:55:59.9237926Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:55:59.9238021Z return self._op(*args, **kwargs or {}) 2022-12-01T10:55:59.9238193Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:55:59.9238198Z 2022-12-01T10:55:59.9238327Z The above exception was the direct cause of the following exception: 2022-12-01T10:55:59.9238332Z 2022-12-01T10:55:59.9238411Z Traceback (most recent call last): 2022-12-01T10:55:59.9238563Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:55:59.9238657Z raise TorchRuntimeError() from e 2022-12-01T10:55:59.9238758Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:55:59.9238765Z 2022-12-01T10:55:59.9238832Z from user code: 2022-12-01T10:55:59.9238957Z File "test_testing.py", line 1170, in test_mismatching_values_msg 2022-12-01T10:55:59.9239126Z actual = torch.sparse_csr_tensor(actual_crow_indices, actual_col_indices, actual_values, size=(2, 2)) 2022-12-01T10:55:59.9239131Z 2022-12-01T10:55:59.9239258Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9239309Z ========== 2022-12-01T10:55:59.9239375Z ok (0.020s) 2022-12-01T10:55:59.9239509Z test_filtering_env_var (__main__.TestFrameworkUtils) ... ok (7.181s) 2022-12-01T10:55:59.9239622Z test_circular_dependencies (__main__.TestImports) 2022-12-01T10:55:59.9240011Z Checks that all modules inside torch can be imported ... 2022-12-01 10:55:50,189 - torch.distributed.nn.jit.instantiator - INFO - Created a temporary directory at /tmp/tmpk7tc9vex 2022-12-01T10:55:59.9240320Z 2022-12-01 10:55:50,190 - torch.distributed.nn.jit.instantiator - INFO - Writing /tmp/tmpk7tc9vex/_remote_module_non_scriptable.py 2022-12-01T10:55:59.9240700Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _check_cuda_version /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/extension.py line 43 2022-12-01T10:55:59.9240763Z due to: 2022-12-01T10:55:59.9240840Z Traceback (most recent call last): 2022-12-01T10:55:59.9240994Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:55:59.9241241Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:55:59.9241468Z AssertionError: torch.* op returned non-Tensor int call_function torchvision._cuda_version 2022-12-01T10:55:59.9241474Z 2022-12-01T10:55:59.9241564Z from user code: 2022-12-01T10:55:59.9241836Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/extension.py", line 51, in _check_cuda_version 2022-12-01T10:55:59.9241947Z _version = torch.ops.torchvision._cuda_version() 2022-12-01T10:55:59.9241952Z 2022-12-01T10:55:59.9242081Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9242136Z ========== 2022-12-01T10:55:59.9242377Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __new__ /opt/conda/lib/python3.7/fractions.py line 84 2022-12-01T10:55:59.9242437Z due to: 2022-12-01T10:55:59.9242521Z Traceback (most recent call last): 2022-12-01T10:55:59.9242681Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 140, in python_type 2022-12-01T10:55:59.9242798Z raise NotImplementedError(f"{self} has no type") 2022-12-01T10:55:59.9242933Z NotImplementedError: UserDefinedClassVariable() has no type 2022-12-01T10:55:59.9242937Z 2022-12-01T10:55:59.9243005Z from user code: 2022-12-01T10:55:59.9243122Z File "/opt/conda/lib/python3.7/fractions.py", line 115, in __new__ 2022-12-01T10:55:59.9243218Z self = super(Fraction, cls).__new__(cls) 2022-12-01T10:55:59.9243223Z 2022-12-01T10:55:59.9243351Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9243411Z ========== 2022-12-01T10:55:59.9243768Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ConvertImageDtype /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 168 2022-12-01T10:55:59.9243825Z due to: 2022-12-01T10:55:59.9243911Z Traceback (most recent call last): 2022-12-01T10:55:59.9244061Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9244131Z raise Unsupported(msg) 2022-12-01T10:55:59.9244252Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9244257Z 2022-12-01T10:55:59.9244323Z from user code: 2022-12-01T10:55:59.9244621Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 168, in ConvertImageDtype 2022-12-01T10:55:59.9244732Z class ConvertImageDtype(torch.nn.Module): 2022-12-01T10:55:59.9244736Z 2022-12-01T10:55:59.9244858Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9244920Z ========== 2022-12-01T10:55:59.9245260Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Normalize /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 237 2022-12-01T10:55:59.9245311Z due to: 2022-12-01T10:55:59.9245396Z Traceback (most recent call last): 2022-12-01T10:55:59.9245544Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9245623Z raise Unsupported(msg) 2022-12-01T10:55:59.9245744Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9245749Z 2022-12-01T10:55:59.9245811Z from user code: 2022-12-01T10:55:59.9246091Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 237, in Normalize 2022-12-01T10:55:59.9246182Z class Normalize(torch.nn.Module): 2022-12-01T10:55:59.9246187Z 2022-12-01T10:55:59.9246303Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9246363Z ========== 2022-12-01T10:55:59.9246702Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RandomCrop /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 573 2022-12-01T10:55:59.9246874Z due to: 2022-12-01T10:55:59.9247087Z Traceback (most recent call last): 2022-12-01T10:55:59.9247239Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9247319Z raise Unsupported(msg) 2022-12-01T10:55:59.9247428Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9247447Z 2022-12-01T10:55:59.9247503Z from user code: 2022-12-01T10:55:59.9247793Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 573, in RandomCrop 2022-12-01T10:55:59.9247958Z class RandomCrop(torch.nn.Module): 2022-12-01T10:55:59.9247965Z 2022-12-01T10:55:59.9248094Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9248154Z ========== 2022-12-01T10:55:59.9248516Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RandomResizedCrop /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 845 2022-12-01T10:55:59.9248581Z due to: 2022-12-01T10:55:59.9248659Z Traceback (most recent call last): 2022-12-01T10:55:59.9248807Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9248889Z raise Unsupported(msg) 2022-12-01T10:55:59.9249010Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9249015Z 2022-12-01T10:55:59.9249083Z from user code: 2022-12-01T10:55:59.9249383Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 845, in RandomResizedCrop 2022-12-01T10:55:59.9249497Z class RandomResizedCrop(torch.nn.Module): 2022-12-01T10:55:59.9249502Z 2022-12-01T10:55:59.9249629Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9249678Z ========== 2022-12-01T10:55:59.9250043Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LinearTransformation /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 1072 2022-12-01T10:55:59.9250108Z due to: 2022-12-01T10:55:59.9250198Z Traceback (most recent call last): 2022-12-01T10:55:59.9250347Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9250429Z raise Unsupported(msg) 2022-12-01T10:55:59.9250549Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9250554Z 2022-12-01T10:55:59.9250622Z from user code: 2022-12-01T10:55:59.9250911Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 1072, in LinearTransformation 2022-12-01T10:55:59.9251030Z class LinearTransformation(torch.nn.Module): 2022-12-01T10:55:59.9251035Z 2022-12-01T10:55:59.9251166Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9251227Z ========== 2022-12-01T10:55:59.9251576Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ColorJitter /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 1151 2022-12-01T10:55:59.9251641Z due to: 2022-12-01T10:55:59.9251732Z Traceback (most recent call last): 2022-12-01T10:55:59.9251882Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9251951Z raise Unsupported(msg) 2022-12-01T10:55:59.9252072Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9252077Z 2022-12-01T10:55:59.9252145Z from user code: 2022-12-01T10:55:59.9252430Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 1151, in ColorJitter 2022-12-01T10:55:59.9252528Z class ColorJitter(torch.nn.Module): 2022-12-01T10:55:59.9252533Z 2022-12-01T10:55:59.9252661Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9252723Z ========== 2022-12-01T10:55:59.9253078Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RandomErasing /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 1604 2022-12-01T10:55:59.9253163Z due to: 2022-12-01T10:55:59.9253252Z Traceback (most recent call last): 2022-12-01T10:55:59.9253398Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9253479Z raise Unsupported(msg) 2022-12-01T10:55:59.9253602Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9253607Z 2022-12-01T10:55:59.9253676Z from user code: 2022-12-01T10:55:59.9253960Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 1604, in RandomErasing 2022-12-01T10:55:59.9254062Z class RandomErasing(torch.nn.Module): 2022-12-01T10:55:59.9254092Z 2022-12-01T10:55:59.9254213Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9254274Z ========== 2022-12-01T10:55:59.9254625Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT GaussianBlur /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 1740 2022-12-01T10:55:59.9254692Z due to: 2022-12-01T10:55:59.9254781Z Traceback (most recent call last): 2022-12-01T10:55:59.9254929Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9255007Z raise Unsupported(msg) 2022-12-01T10:55:59.9255115Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9255132Z 2022-12-01T10:55:59.9255188Z from user code: 2022-12-01T10:55:59.9255474Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 1740, in GaussianBlur 2022-12-01T10:55:59.9255573Z class GaussianBlur(torch.nn.Module): 2022-12-01T10:55:59.9255579Z 2022-12-01T10:55:59.9255708Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9255772Z ========== 2022-12-01T10:55:59.9256127Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ElasticTransform /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py line 2030 2022-12-01T10:55:59.9256193Z due to: 2022-12-01T10:55:59.9256282Z Traceback (most recent call last): 2022-12-01T10:55:59.9256416Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9256498Z raise Unsupported(msg) 2022-12-01T10:55:59.9256620Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9256625Z 2022-12-01T10:55:59.9256693Z from user code: 2022-12-01T10:55:59.9256985Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 2030, in ElasticTransform 2022-12-01T10:55:59.9257096Z class ElasticTransform(torch.nn.Module): 2022-12-01T10:55:59.9257101Z 2022-12-01T10:55:59.9257230Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9257292Z ========== 2022-12-01T10:55:59.9257629Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT AutoAugment /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py line 104 2022-12-01T10:55:59.9257696Z due to: 2022-12-01T10:55:59.9257785Z Traceback (most recent call last): 2022-12-01T10:55:59.9257934Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9258018Z raise Unsupported(msg) 2022-12-01T10:55:59.9258138Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9258143Z 2022-12-01T10:55:59.9258212Z from user code: 2022-12-01T10:55:59.9258486Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py", line 104, in AutoAugment 2022-12-01T10:55:59.9258584Z class AutoAugment(torch.nn.Module): 2022-12-01T10:55:59.9258588Z 2022-12-01T10:55:59.9258718Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9258780Z ========== 2022-12-01T10:55:59.9259132Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RandAugment /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py line 287 2022-12-01T10:55:59.9259198Z due to: 2022-12-01T10:55:59.9259346Z Traceback (most recent call last): 2022-12-01T10:55:59.9259491Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9259560Z raise Unsupported(msg) 2022-12-01T10:55:59.9259681Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9259686Z 2022-12-01T10:55:59.9259755Z from user code: 2022-12-01T10:55:59.9260039Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py", line 287, in RandAugment 2022-12-01T10:55:59.9260137Z class RandAugment(torch.nn.Module): 2022-12-01T10:55:59.9260142Z 2022-12-01T10:55:59.9260271Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9260355Z ========== 2022-12-01T10:55:59.9260722Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TrivialAugmentWide /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py line 380 2022-12-01T10:55:59.9260773Z due to: 2022-12-01T10:55:59.9260867Z Traceback (most recent call last): 2022-12-01T10:55:59.9261018Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9261102Z raise Unsupported(msg) 2022-12-01T10:55:59.9261224Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9261228Z 2022-12-01T10:55:59.9261297Z from user code: 2022-12-01T10:55:59.9261597Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py", line 380, in TrivialAugmentWide 2022-12-01T10:55:59.9261710Z class TrivialAugmentWide(torch.nn.Module): 2022-12-01T10:55:59.9261715Z 2022-12-01T10:55:59.9261832Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9261895Z ========== 2022-12-01T10:55:59.9262234Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT AugMix /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py line 466 2022-12-01T10:55:59.9262297Z due to: 2022-12-01T10:55:59.9262387Z Traceback (most recent call last): 2022-12-01T10:55:59.9262537Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9262619Z raise Unsupported(msg) 2022-12-01T10:55:59.9262738Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9262743Z 2022-12-01T10:55:59.9262798Z from user code: 2022-12-01T10:55:59.9263075Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/autoaugment.py", line 466, in AugMix 2022-12-01T10:55:59.9263165Z class AugMix(torch.nn.Module): 2022-12-01T10:55:59.9263170Z 2022-12-01T10:55:59.9263299Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9263362Z ========== 2022-12-01T10:55:59.9263704Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT VideoClips /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/video_utils.py line 73 2022-12-01T10:55:59.9263768Z due to: 2022-12-01T10:55:59.9263856Z Traceback (most recent call last): 2022-12-01T10:55:59.9263994Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9264075Z raise Unsupported(msg) 2022-12-01T10:55:59.9264197Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9264202Z 2022-12-01T10:55:59.9264271Z from user code: 2022-12-01T10:55:59.9264546Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/video_utils.py", line 73, in VideoClips 2022-12-01T10:55:59.9264623Z class VideoClips: 2022-12-01T10:55:59.9264628Z 2022-12-01T10:55:59.9264757Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9264805Z ========== 2022-12-01T10:55:59.9265135Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT HMDB51 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/hmdb51.py line 12 2022-12-01T10:55:59.9265199Z due to: 2022-12-01T10:55:59.9265289Z Traceback (most recent call last): 2022-12-01T10:55:59.9265435Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9265542Z raise Unsupported(msg) 2022-12-01T10:55:59.9265662Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9265667Z 2022-12-01T10:55:59.9265735Z from user code: 2022-12-01T10:55:59.9265988Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/hmdb51.py", line 12, in HMDB51 2022-12-01T10:55:59.9266078Z class HMDB51(VisionDataset): 2022-12-01T10:55:59.9266083Z 2022-12-01T10:55:59.9266211Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9266273Z ========== 2022-12-01T10:55:59.9266631Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Kinetics /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/kinetics.py line 22 2022-12-01T10:55:59.9266698Z due to: 2022-12-01T10:55:59.9266788Z Traceback (most recent call last): 2022-12-01T10:55:59.9266936Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9267003Z raise Unsupported(msg) 2022-12-01T10:55:59.9267128Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9267133Z 2022-12-01T10:55:59.9267200Z from user code: 2022-12-01T10:55:59.9267469Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/kinetics.py", line 22, in Kinetics 2022-12-01T10:55:59.9267561Z class Kinetics(VisionDataset): 2022-12-01T10:55:59.9267566Z 2022-12-01T10:55:59.9267693Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9267755Z ========== 2022-12-01T10:55:59.9268093Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT PhotoTour /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/phototour.py line 12 2022-12-01T10:55:59.9268146Z due to: 2022-12-01T10:55:59.9268234Z Traceback (most recent call last): 2022-12-01T10:55:59.9268381Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9268463Z raise Unsupported(msg) 2022-12-01T10:55:59.9268584Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9268591Z 2022-12-01T10:55:59.9268660Z from user code: 2022-12-01T10:55:59.9268935Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/phototour.py", line 12, in PhotoTour 2022-12-01T10:55:59.9269017Z class PhotoTour(VisionDataset): 2022-12-01T10:55:59.9269034Z 2022-12-01T10:55:59.9269149Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9269212Z ========== 2022-12-01T10:55:59.9269534Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT UCF101 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/ucf101.py line 11 2022-12-01T10:55:59.9269595Z due to: 2022-12-01T10:55:59.9269685Z Traceback (most recent call last): 2022-12-01T10:55:59.9269832Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9269913Z raise Unsupported(msg) 2022-12-01T10:55:59.9270021Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9270028Z 2022-12-01T10:55:59.9270097Z from user code: 2022-12-01T10:55:59.9270361Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/datasets/ucf101.py", line 11, in UCF101 2022-12-01T10:55:59.9270448Z class UCF101(VisionDataset): 2022-12-01T10:55:59.9270453Z 2022-12-01T10:55:59.9270579Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9270639Z ========== 2022-12-01T10:55:59.9270989Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ObjectDetection /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py line 22 2022-12-01T10:55:59.9271053Z due to: 2022-12-01T10:55:59.9271130Z Traceback (most recent call last): 2022-12-01T10:55:59.9271279Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9271360Z raise Unsupported(msg) 2022-12-01T10:55:59.9271475Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9271480Z 2022-12-01T10:55:59.9271574Z from user code: 2022-12-01T10:55:59.9271855Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py", line 22, in ObjectDetection 2022-12-01T10:55:59.9271950Z class ObjectDetection(nn.Module): 2022-12-01T10:55:59.9271955Z 2022-12-01T10:55:59.9272081Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9272130Z ========== 2022-12-01T10:55:59.9272485Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ImageClassification /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py line 38 2022-12-01T10:55:59.9272544Z due to: 2022-12-01T10:55:59.9272633Z Traceback (most recent call last): 2022-12-01T10:55:59.9272803Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9272883Z raise Unsupported(msg) 2022-12-01T10:55:59.9273003Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9273008Z 2022-12-01T10:55:59.9273071Z from user code: 2022-12-01T10:55:59.9273354Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py", line 38, in ImageClassification 2022-12-01T10:55:59.9273452Z class ImageClassification(nn.Module): 2022-12-01T10:55:59.9273457Z 2022-12-01T10:55:59.9273583Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9273643Z ========== 2022-12-01T10:55:59.9274004Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT VideoClassification /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py line 83 2022-12-01T10:55:59.9274068Z due to: 2022-12-01T10:55:59.9274159Z Traceback (most recent call last): 2022-12-01T10:55:59.9274294Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9274373Z raise Unsupported(msg) 2022-12-01T10:55:59.9274495Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9274499Z 2022-12-01T10:55:59.9274569Z from user code: 2022-12-01T10:55:59.9274859Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py", line 83, in VideoClassification 2022-12-01T10:55:59.9274965Z class VideoClassification(nn.Module): 2022-12-01T10:55:59.9274970Z 2022-12-01T10:55:59.9275097Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9275158Z ========== 2022-12-01T10:55:59.9275526Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SemanticSegmentation /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py line 140 2022-12-01T10:55:59.9275577Z due to: 2022-12-01T10:55:59.9275666Z Traceback (most recent call last): 2022-12-01T10:55:59.9275815Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9275895Z raise Unsupported(msg) 2022-12-01T10:55:59.9276013Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9276018Z 2022-12-01T10:55:59.9276081Z from user code: 2022-12-01T10:55:59.9276376Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py", line 140, in SemanticSegmentation 2022-12-01T10:55:59.9276473Z class SemanticSegmentation(nn.Module): 2022-12-01T10:55:59.9276491Z 2022-12-01T10:55:59.9276607Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9276666Z ========== 2022-12-01T10:55:59.9277008Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT OpticalFlow /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py line 182 2022-12-01T10:55:59.9277072Z due to: 2022-12-01T10:55:59.9277161Z Traceback (most recent call last): 2022-12-01T10:55:59.9277309Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9277392Z raise Unsupported(msg) 2022-12-01T10:55:59.9277502Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9277508Z 2022-12-01T10:55:59.9277578Z from user code: 2022-12-01T10:55:59.9277856Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/_presets.py", line 182, in OpticalFlow 2022-12-01T10:55:59.9277980Z class OpticalFlow(nn.Module): 2022-12-01T10:55:59.9277985Z 2022-12-01T10:55:59.9278112Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9278173Z ========== 2022-12-01T10:55:59.9278534Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT IntermediateLayerGetter /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py line 13 2022-12-01T10:55:59.9278596Z due to: 2022-12-01T10:55:59.9278672Z Traceback (most recent call last): 2022-12-01T10:55:59.9278818Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9278924Z raise Unsupported(msg) 2022-12-01T10:55:59.9279047Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9279052Z 2022-12-01T10:55:59.9279121Z from user code: 2022-12-01T10:55:59.9279413Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py", line 13, in IntermediateLayerGetter 2022-12-01T10:55:59.9279534Z class IntermediateLayerGetter(nn.ModuleDict): 2022-12-01T10:55:59.9279540Z 2022-12-01T10:55:59.9279666Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9279715Z ========== 2022-12-01T10:55:59.9280041Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT AlexNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/alexnet.py line 17 2022-12-01T10:55:59.9280104Z due to: 2022-12-01T10:55:59.9280194Z Traceback (most recent call last): 2022-12-01T10:55:59.9280343Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9280422Z raise Unsupported(msg) 2022-12-01T10:55:59.9280543Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9280548Z 2022-12-01T10:55:59.9280617Z from user code: 2022-12-01T10:55:59.9280867Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/alexnet.py", line 17, in AlexNet 2022-12-01T10:55:59.9280953Z class AlexNet(nn.Module): 2022-12-01T10:55:59.9280957Z 2022-12-01T10:55:59.9281085Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9281148Z ========== 2022-12-01T10:55:59.9281485Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT DeformConv2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/deform_conv.py line 110 2022-12-01T10:55:59.9281551Z due to: 2022-12-01T10:55:59.9281641Z Traceback (most recent call last): 2022-12-01T10:55:59.9281774Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9281855Z raise Unsupported(msg) 2022-12-01T10:55:59.9281978Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9281983Z 2022-12-01T10:55:59.9282053Z from user code: 2022-12-01T10:55:59.9282326Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/deform_conv.py", line 110, in DeformConv2d 2022-12-01T10:55:59.9282418Z class DeformConv2d(nn.Module): 2022-12-01T10:55:59.9282425Z 2022-12-01T10:55:59.9282554Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9282615Z ========== 2022-12-01T10:55:59.9282934Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT DropBlock2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/drop_block.py line 108 2022-12-01T10:55:59.9282996Z due to: 2022-12-01T10:55:59.9283084Z Traceback (most recent call last): 2022-12-01T10:55:59.9283232Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9283312Z raise Unsupported(msg) 2022-12-01T10:55:59.9283434Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9283439Z 2022-12-01T10:55:59.9283510Z from user code: 2022-12-01T10:55:59.9283780Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/drop_block.py", line 108, in DropBlock2d 2022-12-01T10:55:59.9283856Z class DropBlock2d(nn.Module): 2022-12-01T10:55:59.9283861Z 2022-12-01T10:55:59.9284028Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9284089Z ========== 2022-12-01T10:55:59.9284424Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT DropBlock3d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/drop_block.py line 139 2022-12-01T10:55:59.9284485Z due to: 2022-12-01T10:55:59.9284575Z Traceback (most recent call last): 2022-12-01T10:55:59.9284720Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9284801Z raise Unsupported(msg) 2022-12-01T10:55:59.9284911Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9284915Z 2022-12-01T10:55:59.9284983Z from user code: 2022-12-01T10:55:59.9285279Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/drop_block.py", line 139, in DropBlock3d 2022-12-01T10:55:59.9285375Z class DropBlock3d(DropBlock2d): 2022-12-01T10:55:59.9285380Z 2022-12-01T10:55:59.9285509Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9285572Z ========== 2022-12-01T10:55:59.9285906Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FrozenBatchNorm2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 13 2022-12-01T10:55:59.9285968Z due to: 2022-12-01T10:55:59.9286045Z Traceback (most recent call last): 2022-12-01T10:55:59.9286190Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9286271Z raise Unsupported(msg) 2022-12-01T10:55:59.9286390Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9286395Z 2022-12-01T10:55:59.9286463Z from user code: 2022-12-01T10:55:59.9286803Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 13, in FrozenBatchNorm2d 2022-12-01T10:55:59.9286915Z class FrozenBatchNorm2d(torch.nn.Module): 2022-12-01T10:55:59.9286921Z 2022-12-01T10:55:59.9287147Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9287199Z ========== 2022-12-01T10:55:59.9287537Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ConvNormActivation /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 68 2022-12-01T10:55:59.9287599Z due to: 2022-12-01T10:55:59.9287687Z Traceback (most recent call last): 2022-12-01T10:55:59.9287835Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9287918Z raise Unsupported(msg) 2022-12-01T10:55:59.9288040Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9288044Z 2022-12-01T10:55:59.9288101Z from user code: 2022-12-01T10:55:59.9288374Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 68, in ConvNormActivation 2022-12-01T10:55:59.9288492Z class ConvNormActivation(torch.nn.Sequential): 2022-12-01T10:55:59.9288497Z 2022-12-01T10:55:59.9288626Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9288686Z ========== 2022-12-01T10:55:59.9289023Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Conv2dNormActivation /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 125 2022-12-01T10:55:59.9289086Z due to: 2022-12-01T10:55:59.9289175Z Traceback (most recent call last): 2022-12-01T10:55:59.9289315Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9289396Z raise Unsupported(msg) 2022-12-01T10:55:59.9289517Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9289522Z 2022-12-01T10:55:59.9289589Z from user code: 2022-12-01T10:55:59.9289868Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 125, in Conv2dNormActivation 2022-12-01T10:55:59.9289992Z class Conv2dNormActivation(ConvNormActivation): 2022-12-01T10:55:59.9289998Z 2022-12-01T10:55:59.9290124Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9290184Z ========== 2022-12-01T10:55:59.9290510Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Conv3dNormActivation /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 175 2022-12-01T10:55:59.9290625Z due to: 2022-12-01T10:55:59.9290715Z Traceback (most recent call last): 2022-12-01T10:55:59.9290861Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9290942Z raise Unsupported(msg) 2022-12-01T10:55:59.9291058Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9291063Z 2022-12-01T10:55:59.9291128Z from user code: 2022-12-01T10:55:59.9291405Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 175, in Conv3dNormActivation 2022-12-01T10:55:59.9291549Z class Conv3dNormActivation(ConvNormActivation): 2022-12-01T10:55:59.9291555Z 2022-12-01T10:55:59.9291679Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9291738Z ========== 2022-12-01T10:55:59.9292070Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SqueezeExcitation /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 224 2022-12-01T10:55:59.9292135Z due to: 2022-12-01T10:55:59.9292224Z Traceback (most recent call last): 2022-12-01T10:55:59.9292371Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9292440Z raise Unsupported(msg) 2022-12-01T10:55:59.9292563Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9292568Z 2022-12-01T10:55:59.9292636Z from user code: 2022-12-01T10:55:59.9292911Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 224, in SqueezeExcitation 2022-12-01T10:55:59.9293022Z class SqueezeExcitation(torch.nn.Module): 2022-12-01T10:55:59.9293028Z 2022-12-01T10:55:59.9293157Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9293219Z ========== 2022-12-01T10:55:59.9293530Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MLP /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 263 2022-12-01T10:55:59.9293583Z due to: 2022-12-01T10:55:59.9293673Z Traceback (most recent call last): 2022-12-01T10:55:59.9293819Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9293902Z raise Unsupported(msg) 2022-12-01T10:55:59.9294022Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9294027Z 2022-12-01T10:55:59.9294096Z from user code: 2022-12-01T10:55:59.9294346Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 263, in MLP 2022-12-01T10:55:59.9294441Z class MLP(torch.nn.Sequential): 2022-12-01T10:55:59.9294446Z 2022-12-01T10:55:59.9294564Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9294626Z ========== 2022-12-01T10:55:59.9294943Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Permute /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 307 2022-12-01T10:55:59.9295006Z due to: 2022-12-01T10:55:59.9295095Z Traceback (most recent call last): 2022-12-01T10:55:59.9295243Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9295325Z raise Unsupported(msg) 2022-12-01T10:55:59.9295444Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9295449Z 2022-12-01T10:55:59.9295505Z from user code: 2022-12-01T10:55:59.9295758Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 307, in Permute 2022-12-01T10:55:59.9295850Z class Permute(torch.nn.Module): 2022-12-01T10:55:59.9295856Z 2022-12-01T10:55:59.9295982Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9296044Z ========== 2022-12-01T10:55:59.9296401Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ExtraFPNBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py line 11 2022-12-01T10:55:59.9296465Z due to: 2022-12-01T10:55:59.9296554Z Traceback (most recent call last): 2022-12-01T10:55:59.9296716Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9296796Z raise Unsupported(msg) 2022-12-01T10:55:59.9296916Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9296920Z 2022-12-01T10:55:59.9296988Z from user code: 2022-12-01T10:55:59.9297284Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py", line 11, in ExtraFPNBlock 2022-12-01T10:55:59.9297376Z class ExtraFPNBlock(nn.Module): 2022-12-01T10:55:59.9297381Z 2022-12-01T10:55:59.9297510Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9297568Z ========== 2022-12-01T10:55:59.9297958Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FeaturePyramidNetwork /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py line 36 2022-12-01T10:55:59.9298023Z due to: 2022-12-01T10:55:59.9298112Z Traceback (most recent call last): 2022-12-01T10:55:59.9298260Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9298341Z raise Unsupported(msg) 2022-12-01T10:55:59.9298460Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9298465Z 2022-12-01T10:55:59.9298533Z from user code: 2022-12-01T10:55:59.9298837Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py", line 36, in FeaturePyramidNetwork 2022-12-01T10:55:59.9298949Z class FeaturePyramidNetwork(nn.Module): 2022-12-01T10:55:59.9298954Z 2022-12-01T10:55:59.9299084Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9299144Z ========== 2022-12-01T10:55:59.9299515Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LastLevelMaxPool /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py line 207 2022-12-01T10:55:59.9299579Z due to: 2022-12-01T10:55:59.9299665Z Traceback (most recent call last): 2022-12-01T10:55:59.9299815Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9299884Z raise Unsupported(msg) 2022-12-01T10:55:59.9300005Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9300010Z 2022-12-01T10:55:59.9300079Z from user code: 2022-12-01T10:55:59.9300383Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py", line 207, in LastLevelMaxPool 2022-12-01T10:55:59.9300491Z class LastLevelMaxPool(ExtraFPNBlock): 2022-12-01T10:55:59.9300496Z 2022-12-01T10:55:59.9300624Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9300685Z ========== 2022-12-01T10:55:59.9301049Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LastLevelP6P7 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py line 223 2022-12-01T10:55:59.9301100Z due to: 2022-12-01T10:55:59.9301190Z Traceback (most recent call last): 2022-12-01T10:55:59.9301339Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9301419Z raise Unsupported(msg) 2022-12-01T10:55:59.9301542Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9301547Z 2022-12-01T10:55:59.9301617Z from user code: 2022-12-01T10:55:59.9301913Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/feature_pyramid_network.py", line 223, in LastLevelP6P7 2022-12-01T10:55:59.9302013Z class LastLevelP6P7(ExtraFPNBlock): 2022-12-01T10:55:59.9302019Z 2022-12-01T10:55:59.9302134Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9302194Z ========== 2022-12-01T10:55:59.9302518Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RoIAlign /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/roi_align.py line 68 2022-12-01T10:55:59.9302582Z due to: 2022-12-01T10:55:59.9302673Z Traceback (most recent call last): 2022-12-01T10:55:59.9302821Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9302931Z raise Unsupported(msg) 2022-12-01T10:55:59.9303052Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9303056Z 2022-12-01T10:55:59.9303113Z from user code: 2022-12-01T10:55:59.9303374Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/roi_align.py", line 68, in RoIAlign 2022-12-01T10:55:59.9303459Z class RoIAlign(nn.Module): 2022-12-01T10:55:59.9303464Z 2022-12-01T10:55:59.9303592Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9303653Z ========== 2022-12-01T10:55:59.9304009Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LevelMapper /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py line 47 2022-12-01T10:55:59.9304076Z due to: 2022-12-01T10:55:59.9304167Z Traceback (most recent call last): 2022-12-01T10:55:59.9304300Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9304384Z raise Unsupported(msg) 2022-12-01T10:55:59.9304503Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9304508Z 2022-12-01T10:55:59.9304577Z from user code: 2022-12-01T10:55:59.9304840Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py", line 47, in LevelMapper 2022-12-01T10:55:59.9304917Z class LevelMapper: 2022-12-01T10:55:59.9304922Z 2022-12-01T10:55:59.9305048Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9305097Z ========== 2022-12-01T10:55:59.9305448Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MultiScaleRoIAlign /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py line 230 2022-12-01T10:55:59.9305513Z due to: 2022-12-01T10:55:59.9305601Z Traceback (most recent call last): 2022-12-01T10:55:59.9305747Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9305830Z raise Unsupported(msg) 2022-12-01T10:55:59.9305950Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9305954Z 2022-12-01T10:55:59.9306022Z from user code: 2022-12-01T10:55:59.9306287Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py", line 230, in MultiScaleRoIAlign 2022-12-01T10:55:59.9306387Z class MultiScaleRoIAlign(nn.Module): 2022-12-01T10:55:59.9306392Z 2022-12-01T10:55:59.9306519Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9306580Z ========== 2022-12-01T10:55:59.9306914Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT PSRoIAlign /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/ps_roi_align.py line 62 2022-12-01T10:55:59.9306981Z due to: 2022-12-01T10:55:59.9307071Z Traceback (most recent call last): 2022-12-01T10:55:59.9307216Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9307284Z raise Unsupported(msg) 2022-12-01T10:55:59.9307404Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9307410Z 2022-12-01T10:55:59.9307480Z from user code: 2022-12-01T10:55:59.9307753Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/ps_roi_align.py", line 62, in PSRoIAlign 2022-12-01T10:55:59.9307844Z class PSRoIAlign(nn.Module): 2022-12-01T10:55:59.9307849Z 2022-12-01T10:55:59.9307976Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9308037Z ========== 2022-12-01T10:55:59.9308369Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT PSRoIPool /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/ps_roi_pool.py line 54 2022-12-01T10:55:59.9308421Z due to: 2022-12-01T10:55:59.9308511Z Traceback (most recent call last): 2022-12-01T10:55:59.9308659Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9308741Z raise Unsupported(msg) 2022-12-01T10:55:59.9308861Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9308890Z 2022-12-01T10:55:59.9308962Z from user code: 2022-12-01T10:55:59.9309233Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/ps_roi_pool.py", line 54, in PSRoIPool 2022-12-01T10:55:59.9309308Z class PSRoIPool(nn.Module): 2022-12-01T10:55:59.9309322Z 2022-12-01T10:55:59.9309438Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9309499Z ========== 2022-12-01T10:55:59.9309818Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RoIPool /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/roi_pool.py line 56 2022-12-01T10:55:59.9309882Z due to: 2022-12-01T10:55:59.9309972Z Traceback (most recent call last): 2022-12-01T10:55:59.9310150Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9310236Z raise Unsupported(msg) 2022-12-01T10:55:59.9310345Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9310350Z 2022-12-01T10:55:59.9310418Z from user code: 2022-12-01T10:55:59.9310676Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/roi_pool.py", line 56, in RoIPool 2022-12-01T10:55:59.9310760Z class RoIPool(nn.Module): 2022-12-01T10:55:59.9310765Z 2022-12-01T10:55:59.9310893Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9310954Z ========== 2022-12-01T10:55:59.9311303Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT StochasticDepth /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/stochastic_depth.py line 50 2022-12-01T10:55:59.9311365Z due to: 2022-12-01T10:55:59.9311442Z Traceback (most recent call last): 2022-12-01T10:55:59.9311591Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9311672Z raise Unsupported(msg) 2022-12-01T10:55:59.9311793Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9311798Z 2022-12-01T10:55:59.9311868Z from user code: 2022-12-01T10:55:59.9312153Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/stochastic_depth.py", line 50, in StochasticDepth 2022-12-01T10:55:59.9312251Z class StochasticDepth(nn.Module): 2022-12-01T10:55:59.9312257Z 2022-12-01T10:55:59.9312383Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9312432Z ========== 2022-12-01T10:55:59.9312764Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LayerNorm2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/convnext.py line 30 2022-12-01T10:55:59.9312827Z due to: 2022-12-01T10:55:59.9312916Z Traceback (most recent call last): 2022-12-01T10:55:59.9313063Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9313148Z raise Unsupported(msg) 2022-12-01T10:55:59.9313269Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9313274Z 2022-12-01T10:55:59.9313342Z from user code: 2022-12-01T10:55:59.9313604Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/convnext.py", line 30, in LayerNorm2d 2022-12-01T10:55:59.9313701Z class LayerNorm2d(nn.LayerNorm): 2022-12-01T10:55:59.9313706Z 2022-12-01T10:55:59.9313833Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9313894Z ========== 2022-12-01T10:55:59.9314218Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT CNBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/convnext.py line 38 2022-12-01T10:55:59.9314282Z due to: 2022-12-01T10:55:59.9314371Z Traceback (most recent call last): 2022-12-01T10:55:59.9314507Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9314589Z raise Unsupported(msg) 2022-12-01T10:55:59.9314711Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9314716Z 2022-12-01T10:55:59.9314782Z from user code: 2022-12-01T10:55:59.9315047Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/convnext.py", line 38, in CNBlock 2022-12-01T10:55:59.9315159Z class CNBlock(nn.Module): 2022-12-01T10:55:59.9315164Z 2022-12-01T10:55:59.9315292Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9315353Z ========== 2022-12-01T10:55:59.9315674Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ConvNeXt /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/convnext.py line 90 2022-12-01T10:55:59.9315737Z due to: 2022-12-01T10:55:59.9315826Z Traceback (most recent call last): 2022-12-01T10:55:59.9315974Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9316056Z raise Unsupported(msg) 2022-12-01T10:55:59.9316178Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9316209Z 2022-12-01T10:55:59.9316281Z from user code: 2022-12-01T10:55:59.9316542Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/convnext.py", line 90, in ConvNeXt 2022-12-01T10:55:59.9316614Z class ConvNeXt(nn.Module): 2022-12-01T10:55:59.9316621Z 2022-12-01T10:55:59.9316754Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9316815Z ========== 2022-12-01T10:55:59.9317146Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _DenseLayer /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/densenet.py line 32 2022-12-01T10:55:59.9317208Z due to: 2022-12-01T10:55:59.9317297Z Traceback (most recent call last): 2022-12-01T10:55:59.9317443Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9317523Z raise Unsupported(msg) 2022-12-01T10:55:59.9317630Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9317635Z 2022-12-01T10:55:59.9317705Z from user code: 2022-12-01T10:55:59.9317974Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/densenet.py", line 32, in _DenseLayer 2022-12-01T10:55:59.9318060Z class _DenseLayer(nn.Module): 2022-12-01T10:55:59.9318065Z 2022-12-01T10:55:59.9318189Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9318255Z ========== 2022-12-01T10:55:59.9318586Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _DenseBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/densenet.py line 97 2022-12-01T10:55:59.9318648Z due to: 2022-12-01T10:55:59.9318737Z Traceback (most recent call last): 2022-12-01T10:55:59.9318887Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9318956Z raise Unsupported(msg) 2022-12-01T10:55:59.9319077Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9319082Z 2022-12-01T10:55:59.9319150Z from user code: 2022-12-01T10:55:59.9319419Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/densenet.py", line 97, in _DenseBlock 2022-12-01T10:55:59.9319514Z class _DenseBlock(nn.ModuleDict): 2022-12-01T10:55:59.9319519Z 2022-12-01T10:55:59.9319647Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9319710Z ========== 2022-12-01T10:55:59.9320040Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT DenseNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/densenet.py line 137 2022-12-01T10:55:59.9320091Z due to: 2022-12-01T10:55:59.9320180Z Traceback (most recent call last): 2022-12-01T10:55:59.9320325Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9320406Z raise Unsupported(msg) 2022-12-01T10:55:59.9320526Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9320530Z 2022-12-01T10:55:59.9320599Z from user code: 2022-12-01T10:55:59.9320868Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/densenet.py", line 137, in DenseNet 2022-12-01T10:55:59.9320952Z class DenseNet(nn.Module): 2022-12-01T10:55:59.9320957Z 2022-12-01T10:55:59.9321073Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9321134Z ========== 2022-12-01T10:55:59.9321509Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _MBConvConfig /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py line 47 2022-12-01T10:55:59.9321572Z due to: 2022-12-01T10:55:59.9321662Z Traceback (most recent call last): 2022-12-01T10:55:59.9321809Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9321891Z raise Unsupported(msg) 2022-12-01T10:55:59.9321998Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9322014Z 2022-12-01T10:55:59.9322070Z from user code: 2022-12-01T10:55:59.9322350Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py", line 47, in _MBConvConfig 2022-12-01T10:55:59.9322445Z @dataclass 2022-12-01T10:55:59.9322450Z 2022-12-01T10:55:59.9322579Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9322639Z ========== 2022-12-01T10:55:59.9322981Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MBConvConfig /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py line 62 2022-12-01T10:55:59.9323045Z due to: 2022-12-01T10:55:59.9323122Z Traceback (most recent call last): 2022-12-01T10:55:59.9323270Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9323349Z raise Unsupported(msg) 2022-12-01T10:55:59.9323470Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9323475Z 2022-12-01T10:55:59.9323541Z from user code: 2022-12-01T10:55:59.9323821Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py", line 62, in MBConvConfig 2022-12-01T10:55:59.9323920Z class MBConvConfig(_MBConvConfig): 2022-12-01T10:55:59.9323925Z 2022-12-01T10:55:59.9324054Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9324101Z ========== 2022-12-01T10:55:59.9324454Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FusedMBConvConfig /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py line 88 2022-12-01T10:55:59.9324517Z due to: 2022-12-01T10:55:59.9324605Z Traceback (most recent call last): 2022-12-01T10:55:59.9324751Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9324835Z raise Unsupported(msg) 2022-12-01T10:55:59.9324955Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9324960Z 2022-12-01T10:55:59.9325028Z from user code: 2022-12-01T10:55:59.9325306Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py", line 88, in FusedMBConvConfig 2022-12-01T10:55:59.9325414Z class FusedMBConvConfig(_MBConvConfig): 2022-12-01T10:55:59.9325421Z 2022-12-01T10:55:59.9325547Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9325607Z ========== 2022-12-01T10:55:59.9325942Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MBConv /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py line 105 2022-12-01T10:55:59.9326008Z due to: 2022-12-01T10:55:59.9326096Z Traceback (most recent call last): 2022-12-01T10:55:59.9326243Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9326312Z raise Unsupported(msg) 2022-12-01T10:55:59.9326429Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9326433Z 2022-12-01T10:55:59.9326501Z from user code: 2022-12-01T10:55:59.9326856Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py", line 105, in MBConv 2022-12-01T10:55:59.9326943Z class MBConv(nn.Module): 2022-12-01T10:55:59.9326949Z 2022-12-01T10:55:59.9327187Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9327249Z ========== 2022-12-01T10:55:59.9327596Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FusedMBConv /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py line 172 2022-12-01T10:55:59.9327712Z due to: 2022-12-01T10:55:59.9327800Z Traceback (most recent call last): 2022-12-01T10:55:59.9327949Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9328031Z raise Unsupported(msg) 2022-12-01T10:55:59.9328152Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9328158Z 2022-12-01T10:55:59.9328228Z from user code: 2022-12-01T10:55:59.9328507Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py", line 172, in FusedMBConv 2022-12-01T10:55:59.9328583Z class FusedMBConv(nn.Module): 2022-12-01T10:55:59.9328601Z 2022-12-01T10:55:59.9328716Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9328813Z ========== 2022-12-01T10:55:59.9329163Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT EfficientNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py line 233 2022-12-01T10:55:59.9329225Z due to: 2022-12-01T10:55:59.9329316Z Traceback (most recent call last): 2022-12-01T10:55:59.9329463Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9329541Z raise Unsupported(msg) 2022-12-01T10:55:59.9329648Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9329653Z 2022-12-01T10:55:59.9329720Z from user code: 2022-12-01T10:55:59.9330002Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/efficientnet.py", line 233, in EfficientNet 2022-12-01T10:55:59.9330088Z class EfficientNet(nn.Module): 2022-12-01T10:55:59.9330093Z 2022-12-01T10:55:59.9330219Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9330281Z ========== 2022-12-01T10:55:59.9330617Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT GoogLeNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py line 29 2022-12-01T10:55:59.9330680Z due to: 2022-12-01T10:55:59.9330757Z Traceback (most recent call last): 2022-12-01T10:55:59.9330906Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9330987Z raise Unsupported(msg) 2022-12-01T10:55:59.9331105Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9331110Z 2022-12-01T10:55:59.9331177Z from user code: 2022-12-01T10:55:59.9331449Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py", line 29, in GoogLeNet 2022-12-01T10:55:59.9331536Z class GoogLeNet(nn.Module): 2022-12-01T10:55:59.9331541Z 2022-12-01T10:55:59.9331668Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9331717Z ========== 2022-12-01T10:55:59.9332052Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Inception /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py line 184 2022-12-01T10:55:59.9332120Z due to: 2022-12-01T10:55:59.9332208Z Traceback (most recent call last): 2022-12-01T10:55:59.9332358Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9332441Z raise Unsupported(msg) 2022-12-01T10:55:59.9332560Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9332565Z 2022-12-01T10:55:59.9332633Z from user code: 2022-12-01T10:55:59.9332891Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py", line 184, in Inception 2022-12-01T10:55:59.9332977Z class Inception(nn.Module): 2022-12-01T10:55:59.9332982Z 2022-12-01T10:55:59.9333109Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9333169Z ========== 2022-12-01T10:55:59.9333511Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InceptionAux /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py line 231 2022-12-01T10:55:59.9333573Z due to: 2022-12-01T10:55:59.9333661Z Traceback (most recent call last): 2022-12-01T10:55:59.9333795Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9333899Z raise Unsupported(msg) 2022-12-01T10:55:59.9334017Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9334022Z 2022-12-01T10:55:59.9334089Z from user code: 2022-12-01T10:55:59.9334371Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py", line 231, in InceptionAux 2022-12-01T10:55:59.9334459Z class InceptionAux(nn.Module): 2022-12-01T10:55:59.9334465Z 2022-12-01T10:55:59.9334590Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9334650Z ========== 2022-12-01T10:55:59.9335007Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BasicConv2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py line 266 2022-12-01T10:55:59.9335074Z due to: 2022-12-01T10:55:59.9335163Z Traceback (most recent call last): 2022-12-01T10:55:59.9335310Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9335389Z raise Unsupported(msg) 2022-12-01T10:55:59.9335511Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9335516Z 2022-12-01T10:55:59.9335582Z from user code: 2022-12-01T10:55:59.9335856Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py", line 266, in BasicConv2d 2022-12-01T10:55:59.9335931Z class BasicConv2d(nn.Module): 2022-12-01T10:55:59.9335936Z 2022-12-01T10:55:59.9336064Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9336124Z ========== 2022-12-01T10:55:59.9336460Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Inception3 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 28 2022-12-01T10:55:59.9336524Z due to: 2022-12-01T10:55:59.9336612Z Traceback (most recent call last): 2022-12-01T10:55:59.9336761Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9336842Z raise Unsupported(msg) 2022-12-01T10:55:59.9336949Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9336956Z 2022-12-01T10:55:59.9337024Z from user code: 2022-12-01T10:55:59.9337294Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 28, in Inception3 2022-12-01T10:55:59.9337380Z class Inception3(nn.Module): 2022-12-01T10:55:59.9337385Z 2022-12-01T10:55:59.9337512Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9337574Z ========== 2022-12-01T10:55:59.9337908Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InceptionA /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 176 2022-12-01T10:55:59.9337970Z due to: 2022-12-01T10:55:59.9338048Z Traceback (most recent call last): 2022-12-01T10:55:59.9338195Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9338275Z raise Unsupported(msg) 2022-12-01T10:55:59.9338396Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9338403Z 2022-12-01T10:55:59.9338472Z from user code: 2022-12-01T10:55:59.9338745Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 176, in InceptionA 2022-12-01T10:55:59.9338831Z class InceptionA(nn.Module): 2022-12-01T10:55:59.9338836Z 2022-12-01T10:55:59.9338963Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9339012Z ========== 2022-12-01T10:55:59.9339347Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InceptionB /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 215 2022-12-01T10:55:59.9339409Z due to: 2022-12-01T10:55:59.9339499Z Traceback (most recent call last): 2022-12-01T10:55:59.9339644Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9339725Z raise Unsupported(msg) 2022-12-01T10:55:59.9339847Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9339852Z 2022-12-01T10:55:59.9339908Z from user code: 2022-12-01T10:55:59.9340203Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 215, in InceptionB 2022-12-01T10:55:59.9340290Z class InceptionB(nn.Module): 2022-12-01T10:55:59.9340294Z 2022-12-01T10:55:59.9340420Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9340481Z ========== 2022-12-01T10:55:59.9340814Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InceptionC /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 243 2022-12-01T10:55:59.9340879Z due to: 2022-12-01T10:55:59.9340969Z Traceback (most recent call last): 2022-12-01T10:55:59.9341129Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9341211Z raise Unsupported(msg) 2022-12-01T10:55:59.9341331Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9341336Z 2022-12-01T10:55:59.9341403Z from user code: 2022-12-01T10:55:59.9341677Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 243, in InceptionC 2022-12-01T10:55:59.9341768Z class InceptionC(nn.Module): 2022-12-01T10:55:59.9341773Z 2022-12-01T10:55:59.9341902Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9341964Z ========== 2022-12-01T10:55:59.9342290Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InceptionD /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 289 2022-12-01T10:55:59.9342353Z due to: 2022-12-01T10:55:59.9342441Z Traceback (most recent call last): 2022-12-01T10:55:59.9342586Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9342668Z raise Unsupported(msg) 2022-12-01T10:55:59.9342789Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9342794Z 2022-12-01T10:55:59.9342862Z from user code: 2022-12-01T10:55:59.9343121Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 289, in InceptionD 2022-12-01T10:55:59.9343209Z class InceptionD(nn.Module): 2022-12-01T10:55:59.9343214Z 2022-12-01T10:55:59.9343342Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9343404Z ========== 2022-12-01T10:55:59.9343735Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InceptionE /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 320 2022-12-01T10:55:59.9343797Z due to: 2022-12-01T10:55:59.9343886Z Traceback (most recent call last): 2022-12-01T10:55:59.9344032Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9344100Z raise Unsupported(msg) 2022-12-01T10:55:59.9344223Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9344228Z 2022-12-01T10:55:59.9344295Z from user code: 2022-12-01T10:55:59.9344565Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 320, in InceptionE 2022-12-01T10:55:59.9344654Z class InceptionE(nn.Module): 2022-12-01T10:55:59.9344659Z 2022-12-01T10:55:59.9344787Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9344848Z ========== 2022-12-01T10:55:59.9345187Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InceptionAux /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 367 2022-12-01T10:55:59.9345237Z due to: 2022-12-01T10:55:59.9345326Z Traceback (most recent call last): 2022-12-01T10:55:59.9345472Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9345552Z raise Unsupported(msg) 2022-12-01T10:55:59.9345674Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9345678Z 2022-12-01T10:55:59.9345746Z from user code: 2022-12-01T10:55:59.9346024Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 367, in InceptionAux 2022-12-01T10:55:59.9346112Z class InceptionAux(nn.Module): 2022-12-01T10:55:59.9346178Z 2022-12-01T10:55:59.9346295Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9346358Z ========== 2022-12-01T10:55:59.9346694Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BasicConv2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py line 398 2022-12-01T10:55:59.9346752Z due to: 2022-12-01T10:55:59.9346840Z Traceback (most recent call last): 2022-12-01T10:55:59.9346987Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9347070Z raise Unsupported(msg) 2022-12-01T10:55:59.9347178Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9347200Z 2022-12-01T10:55:59.9347284Z from user code: 2022-12-01T10:55:59.9347560Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py", line 398, in BasicConv2d 2022-12-01T10:55:59.9347650Z class BasicConv2d(nn.Module): 2022-12-01T10:55:59.9347655Z 2022-12-01T10:55:59.9347788Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9347850Z ========== 2022-12-01T10:55:59.9348198Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _InvertedResidual /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mnasnet.py line 34 2022-12-01T10:55:59.9348261Z due to: 2022-12-01T10:55:59.9348338Z Traceback (most recent call last): 2022-12-01T10:55:59.9348485Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9348565Z raise Unsupported(msg) 2022-12-01T10:55:59.9348684Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9348689Z 2022-12-01T10:55:59.9348756Z from user code: 2022-12-01T10:55:59.9349035Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mnasnet.py", line 34, in _InvertedResidual 2022-12-01T10:55:59.9349131Z class _InvertedResidual(nn.Module): 2022-12-01T10:55:59.9349136Z 2022-12-01T10:55:59.9349264Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9349315Z ========== 2022-12-01T10:55:59.9349640Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MNASNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mnasnet.py line 97 2022-12-01T10:55:59.9349702Z due to: 2022-12-01T10:55:59.9349791Z Traceback (most recent call last): 2022-12-01T10:55:59.9349938Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9350020Z raise Unsupported(msg) 2022-12-01T10:55:59.9350138Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9350143Z 2022-12-01T10:55:59.9350210Z from user code: 2022-12-01T10:55:59.9350459Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mnasnet.py", line 97, in MNASNet 2022-12-01T10:55:59.9350552Z class MNASNet(torch.nn.Module): 2022-12-01T10:55:59.9350557Z 2022-12-01T10:55:59.9350684Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9350747Z ========== 2022-12-01T10:55:59.9351097Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InvertedResidual /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv2.py line 19 2022-12-01T10:55:59.9351160Z due to: 2022-12-01T10:55:59.9351250Z Traceback (most recent call last): 2022-12-01T10:55:59.9351396Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9351466Z raise Unsupported(msg) 2022-12-01T10:55:59.9351585Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9351590Z 2022-12-01T10:55:59.9351657Z from user code: 2022-12-01T10:55:59.9351946Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv2.py", line 19, in InvertedResidual 2022-12-01T10:55:59.9352043Z class InvertedResidual(nn.Module): 2022-12-01T10:55:59.9352048Z 2022-12-01T10:55:59.9352175Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9352235Z ========== 2022-12-01T10:55:59.9352605Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MobileNetV2 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv2.py line 67 2022-12-01T10:55:59.9352656Z due to: 2022-12-01T10:55:59.9352745Z Traceback (most recent call last): 2022-12-01T10:55:59.9352891Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9352971Z raise Unsupported(msg) 2022-12-01T10:55:59.9353091Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9353096Z 2022-12-01T10:55:59.9353164Z from user code: 2022-12-01T10:55:59.9353471Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv2.py", line 67, in MobileNetV2 2022-12-01T10:55:59.9353550Z class MobileNetV2(nn.Module): 2022-12-01T10:55:59.9353566Z 2022-12-01T10:55:59.9353683Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9353747Z ========== 2022-12-01T10:55:59.9354098Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InvertedResidual /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv3.py line 52 2022-12-01T10:55:59.9354163Z due to: 2022-12-01T10:55:59.9354251Z Traceback (most recent call last): 2022-12-01T10:55:59.9354396Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9354477Z raise Unsupported(msg) 2022-12-01T10:55:59.9354585Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9354590Z 2022-12-01T10:55:59.9354659Z from user code: 2022-12-01T10:55:59.9354942Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv3.py", line 52, in InvertedResidual 2022-12-01T10:55:59.9355037Z class InvertedResidual(nn.Module): 2022-12-01T10:55:59.9355042Z 2022-12-01T10:55:59.9355170Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9355231Z ========== 2022-12-01T10:55:59.9355571Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MobileNetV3 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv3.py line 117 2022-12-01T10:55:59.9355635Z due to: 2022-12-01T10:55:59.9355711Z Traceback (most recent call last): 2022-12-01T10:55:59.9355856Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9355933Z raise Unsupported(msg) 2022-12-01T10:55:59.9356055Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9356060Z 2022-12-01T10:55:59.9356130Z from user code: 2022-12-01T10:55:59.9356405Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/mobilenetv3.py", line 117, in MobileNetV3 2022-12-01T10:55:59.9356490Z class MobileNetV3(nn.Module): 2022-12-01T10:55:59.9356496Z 2022-12-01T10:55:59.9356622Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9356671Z ========== 2022-12-01T10:55:59.9357006Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SimpleStemIN /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py line 52 2022-12-01T10:55:59.9357067Z due to: 2022-12-01T10:55:59.9357152Z Traceback (most recent call last): 2022-12-01T10:55:59.9357296Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9357377Z raise Unsupported(msg) 2022-12-01T10:55:59.9357491Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9357496Z 2022-12-01T10:55:59.9357576Z from user code: 2022-12-01T10:55:59.9357964Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py", line 52, in SimpleStemIN 2022-12-01T10:55:59.9358144Z class SimpleStemIN(Conv2dNormActivation): 2022-12-01T10:55:59.9358151Z 2022-12-01T10:55:59.9358353Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9358444Z ========== 2022-12-01T10:55:59.9358941Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BottleneckTransform /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py line 67 2022-12-01T10:55:59.9359099Z due to: 2022-12-01T10:55:59.9359225Z Traceback (most recent call last): 2022-12-01T10:55:59.9359436Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9359534Z raise Unsupported(msg) 2022-12-01T10:55:59.9359694Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9359700Z 2022-12-01T10:55:59.9359795Z from user code: 2022-12-01T10:55:59.9360183Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py", line 67, in BottleneckTransform 2022-12-01T10:55:59.9360337Z class BottleneckTransform(nn.Sequential): 2022-12-01T10:55:59.9360343Z 2022-12-01T10:55:59.9360598Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9360702Z ========== 2022-12-01T10:55:59.9361265Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ResBottleneckBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py line 108 2022-12-01T10:55:59.9361360Z due to: 2022-12-01T10:55:59.9361518Z Traceback (most recent call last): 2022-12-01T10:55:59.9361762Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9361887Z raise Unsupported(msg) 2022-12-01T10:55:59.9362090Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9362099Z 2022-12-01T10:55:59.9362206Z from user code: 2022-12-01T10:55:59.9362704Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py", line 108, in ResBottleneckBlock 2022-12-01T10:55:59.9362852Z class ResBottleneckBlock(nn.Module): 2022-12-01T10:55:59.9362879Z 2022-12-01T10:55:59.9363089Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9363185Z ========== 2022-12-01T10:55:59.9363783Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT AnyStage /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py line 151 2022-12-01T10:55:59.9363891Z due to: 2022-12-01T10:55:59.9364053Z Traceback (most recent call last): 2022-12-01T10:55:59.9364310Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9364452Z raise Unsupported(msg) 2022-12-01T10:55:59.9364631Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9364641Z 2022-12-01T10:55:59.9364752Z from user code: 2022-12-01T10:55:59.9365208Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py", line 151, in AnyStage 2022-12-01T10:55:59.9365366Z class AnyStage(nn.Sequential): 2022-12-01T10:55:59.9365375Z 2022-12-01T10:55:59.9365601Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9365709Z ========== 2022-12-01T10:55:59.9366268Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RegNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py line 296 2022-12-01T10:55:59.9366377Z due to: 2022-12-01T10:55:59.9366515Z Traceback (most recent call last): 2022-12-01T10:55:59.9366838Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9367077Z raise Unsupported(msg) 2022-12-01T10:55:59.9367267Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9367279Z 2022-12-01T10:55:59.9367399Z from user code: 2022-12-01T10:55:59.9367704Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/regnet.py", line 296, in RegNet 2022-12-01T10:55:59.9367786Z class RegNet(nn.Module): 2022-12-01T10:55:59.9367791Z 2022-12-01T10:55:59.9367923Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9367975Z ========== 2022-12-01T10:55:59.9368312Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BasicBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/resnet.py line 59 2022-12-01T10:55:59.9368376Z due to: 2022-12-01T10:55:59.9368468Z Traceback (most recent call last): 2022-12-01T10:55:59.9368620Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9368808Z raise Unsupported(msg) 2022-12-01T10:55:59.9368931Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9368936Z 2022-12-01T10:55:59.9368992Z from user code: 2022-12-01T10:55:59.9369267Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/resnet.py", line 59, in BasicBlock 2022-12-01T10:55:59.9369356Z class BasicBlock(nn.Module): 2022-12-01T10:55:59.9369360Z 2022-12-01T10:55:59.9369490Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9369553Z ========== 2022-12-01T10:55:59.9369934Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Bottleneck /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/resnet.py line 108 2022-12-01T10:55:59.9370000Z due to: 2022-12-01T10:55:59.9370089Z Traceback (most recent call last): 2022-12-01T10:55:59.9370227Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9370306Z raise Unsupported(msg) 2022-12-01T10:55:59.9370429Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9370434Z 2022-12-01T10:55:59.9370501Z from user code: 2022-12-01T10:55:59.9370771Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/resnet.py", line 108, in Bottleneck 2022-12-01T10:55:59.9370861Z class Bottleneck(nn.Module): 2022-12-01T10:55:59.9370865Z 2022-12-01T10:55:59.9370997Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9371059Z ========== 2022-12-01T10:55:59.9371374Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ResNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/resnet.py line 166 2022-12-01T10:55:59.9371442Z due to: 2022-12-01T10:55:59.9371533Z Traceback (most recent call last): 2022-12-01T10:55:59.9371681Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9371763Z raise Unsupported(msg) 2022-12-01T10:55:59.9371884Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9371892Z 2022-12-01T10:55:59.9371959Z from user code: 2022-12-01T10:55:59.9372222Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/resnet.py", line 166, in ResNet 2022-12-01T10:55:59.9372291Z class ResNet(nn.Module): 2022-12-01T10:55:59.9372296Z 2022-12-01T10:55:59.9372425Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9372486Z ========== 2022-12-01T10:55:59.9372846Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT InvertedResidual /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py line 43 2022-12-01T10:55:59.9372909Z due to: 2022-12-01T10:55:59.9373001Z Traceback (most recent call last): 2022-12-01T10:55:59.9373147Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9373215Z raise Unsupported(msg) 2022-12-01T10:55:59.9373335Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9373343Z 2022-12-01T10:55:59.9373435Z from user code: 2022-12-01T10:55:59.9373885Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py", line 43, in InvertedResidual 2022-12-01T10:55:59.9374036Z class InvertedResidual(nn.Module): 2022-12-01T10:55:59.9374043Z 2022-12-01T10:55:59.9374252Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9374344Z ========== 2022-12-01T10:55:59.9374693Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ShuffleNetV2 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py line 104 2022-12-01T10:55:59.9374743Z due to: 2022-12-01T10:55:59.9374832Z Traceback (most recent call last): 2022-12-01T10:55:59.9374979Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9375060Z raise Unsupported(msg) 2022-12-01T10:55:59.9375181Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9375187Z 2022-12-01T10:55:59.9375320Z from user code: 2022-12-01T10:55:59.9375605Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py", line 104, in ShuffleNetV2 2022-12-01T10:55:59.9375694Z class ShuffleNetV2(nn.Module): 2022-12-01T10:55:59.9375700Z 2022-12-01T10:55:59.9375816Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9375879Z ========== 2022-12-01T10:55:59.9376208Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Fire /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/squeezenet.py line 18 2022-12-01T10:55:59.9376272Z due to: 2022-12-01T10:55:59.9376362Z Traceback (most recent call last): 2022-12-01T10:55:59.9376543Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9376627Z raise Unsupported(msg) 2022-12-01T10:55:59.9376748Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9376753Z 2022-12-01T10:55:59.9376809Z from user code: 2022-12-01T10:55:59.9377078Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/squeezenet.py", line 18, in Fire 2022-12-01T10:55:59.9377159Z class Fire(nn.Module): 2022-12-01T10:55:59.9377164Z 2022-12-01T10:55:59.9377294Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9377355Z ========== 2022-12-01T10:55:59.9377688Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SqueezeNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/squeezenet.py line 36 2022-12-01T10:55:59.9377751Z due to: 2022-12-01T10:55:59.9377840Z Traceback (most recent call last): 2022-12-01T10:55:59.9377975Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9378059Z raise Unsupported(msg) 2022-12-01T10:55:59.9378178Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9378183Z 2022-12-01T10:55:59.9378250Z from user code: 2022-12-01T10:55:59.9378523Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/squeezenet.py", line 36, in SqueezeNet 2022-12-01T10:55:59.9378613Z class SqueezeNet(nn.Module): 2022-12-01T10:55:59.9378618Z 2022-12-01T10:55:59.9378747Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9378795Z ========== 2022-12-01T10:55:59.9379105Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT VGG /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vgg.py line 35 2022-12-01T10:55:59.9379167Z due to: 2022-12-01T10:55:59.9379256Z Traceback (most recent call last): 2022-12-01T10:55:59.9379406Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9379486Z raise Unsupported(msg) 2022-12-01T10:55:59.9379608Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9379613Z 2022-12-01T10:55:59.9379682Z from user code: 2022-12-01T10:55:59.9379919Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vgg.py", line 35, in VGG 2022-12-01T10:55:59.9379997Z class VGG(nn.Module): 2022-12-01T10:55:59.9380002Z 2022-12-01T10:55:59.9380127Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9380188Z ========== 2022-12-01T10:55:59.9380544Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ConvStemConfig /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py line 32 2022-12-01T10:55:59.9380607Z due to: 2022-12-01T10:55:59.9380694Z Traceback (most recent call last): 2022-12-01T10:55:59.9380840Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9380909Z raise Unsupported(msg) 2022-12-01T10:55:59.9381031Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9381038Z 2022-12-01T10:55:59.9381107Z from user code: 2022-12-01T10:55:59.9381400Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py", line 32, in ConvStemConfig 2022-12-01T10:55:59.9381496Z class ConvStemConfig(NamedTuple): 2022-12-01T10:55:59.9381533Z 2022-12-01T10:55:59.9381661Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9381720Z ========== 2022-12-01T10:55:59.9382076Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT EncoderBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py line 86 2022-12-01T10:55:59.9382127Z due to: 2022-12-01T10:55:59.9382217Z Traceback (most recent call last): 2022-12-01T10:55:59.9382365Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9382447Z raise Unsupported(msg) 2022-12-01T10:55:59.9382566Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9382571Z 2022-12-01T10:55:59.9382667Z from user code: 2022-12-01T10:55:59.9382959Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py", line 86, in EncoderBlock 2022-12-01T10:55:59.9383047Z class EncoderBlock(nn.Module): 2022-12-01T10:55:59.9383054Z 2022-12-01T10:55:59.9383169Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9383230Z ========== 2022-12-01T10:55:59.9383575Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Encoder /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py line 122 2022-12-01T10:55:59.9383638Z due to: 2022-12-01T10:55:59.9383727Z Traceback (most recent call last): 2022-12-01T10:55:59.9383874Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9383955Z raise Unsupported(msg) 2022-12-01T10:55:59.9384061Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9384079Z 2022-12-01T10:55:59.9384136Z from user code: 2022-12-01T10:55:59.9384418Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py", line 122, in Encoder 2022-12-01T10:55:59.9384502Z class Encoder(nn.Module): 2022-12-01T10:55:59.9384507Z 2022-12-01T10:55:59.9384633Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9384695Z ========== 2022-12-01T10:55:59.9385058Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT VisionTransformer /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py line 160 2022-12-01T10:55:59.9385121Z due to: 2022-12-01T10:55:59.9385198Z Traceback (most recent call last): 2022-12-01T10:55:59.9385344Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9385425Z raise Unsupported(msg) 2022-12-01T10:55:59.9385544Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9385549Z 2022-12-01T10:55:59.9385615Z from user code: 2022-12-01T10:55:59.9385917Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/vision_transformer.py", line 160, in VisionTransformer 2022-12-01T10:55:59.9386013Z class VisionTransformer(nn.Module): 2022-12-01T10:55:59.9386019Z 2022-12-01T10:55:59.9386147Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9386198Z ========== 2022-12-01T10:55:59.9386551Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT PatchMerging /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py line 62 2022-12-01T10:55:59.9386614Z due to: 2022-12-01T10:55:59.9386704Z Traceback (most recent call last): 2022-12-01T10:55:59.9386849Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9386928Z raise Unsupported(msg) 2022-12-01T10:55:59.9387048Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9387053Z 2022-12-01T10:55:59.9387120Z from user code: 2022-12-01T10:55:59.9387398Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py", line 62, in PatchMerging 2022-12-01T10:55:59.9387490Z class PatchMerging(nn.Module): 2022-12-01T10:55:59.9387495Z 2022-12-01T10:55:59.9387622Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9387717Z ========== 2022-12-01T10:55:59.9388075Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT PatchMergingV2 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py line 89 2022-12-01T10:55:59.9388137Z due to: 2022-12-01T10:55:59.9388226Z Traceback (most recent call last): 2022-12-01T10:55:59.9388373Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9388441Z raise Unsupported(msg) 2022-12-01T10:55:59.9388565Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9388570Z 2022-12-01T10:55:59.9388638Z from user code: 2022-12-01T10:55:59.9388959Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py", line 89, in PatchMergingV2 2022-12-01T10:55:59.9389056Z class PatchMergingV2(nn.Module): 2022-12-01T10:55:59.9389061Z 2022-12-01T10:55:59.9389187Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9389255Z ========== 2022-12-01T10:55:59.9389633Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ShiftedWindowAttention /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py line 232 2022-12-01T10:55:59.9389683Z due to: 2022-12-01T10:55:59.9389774Z Traceback (most recent call last): 2022-12-01T10:55:59.9389925Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9390006Z raise Unsupported(msg) 2022-12-01T10:55:59.9390129Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9390134Z 2022-12-01T10:55:59.9390203Z from user code: 2022-12-01T10:55:59.9390511Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py", line 232, in ShiftedWindowAttention 2022-12-01T10:55:59.9390627Z class ShiftedWindowAttention(nn.Module): 2022-12-01T10:55:59.9390632Z 2022-12-01T10:55:59.9390749Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9390812Z ========== 2022-12-01T10:55:59.9391187Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ShiftedWindowAttentionV2 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py line 312 2022-12-01T10:55:59.9391251Z due to: 2022-12-01T10:55:59.9391341Z Traceback (most recent call last): 2022-12-01T10:55:59.9391487Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9391568Z raise Unsupported(msg) 2022-12-01T10:55:59.9391676Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9391693Z 2022-12-01T10:55:59.9391749Z from user code: 2022-12-01T10:55:59.9392067Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py", line 312, in ShiftedWindowAttentionV2 2022-12-01T10:55:59.9392211Z class ShiftedWindowAttentionV2(ShiftedWindowAttention): 2022-12-01T10:55:59.9392216Z 2022-12-01T10:55:59.9392346Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9392411Z ========== 2022-12-01T10:55:59.9392777Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SwinTransformerBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py line 397 2022-12-01T10:55:59.9392841Z due to: 2022-12-01T10:55:59.9392931Z Traceback (most recent call last): 2022-12-01T10:55:59.9393064Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9393144Z raise Unsupported(msg) 2022-12-01T10:55:59.9393265Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9393270Z 2022-12-01T10:55:59.9393337Z from user code: 2022-12-01T10:55:59.9393643Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py", line 397, in SwinTransformerBlock 2022-12-01T10:55:59.9393751Z class SwinTransformerBlock(nn.Module): 2022-12-01T10:55:59.9393756Z 2022-12-01T10:55:59.9393884Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9393963Z ========== 2022-12-01T10:55:59.9394335Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SwinTransformerBlockV2 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py line 454 2022-12-01T10:55:59.9394398Z due to: 2022-12-01T10:55:59.9394487Z Traceback (most recent call last): 2022-12-01T10:55:59.9394635Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9394714Z raise Unsupported(msg) 2022-12-01T10:55:59.9394835Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9394840Z 2022-12-01T10:55:59.9394907Z from user code: 2022-12-01T10:55:59.9395231Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py", line 454, in SwinTransformerBlockV2 2022-12-01T10:55:59.9395367Z class SwinTransformerBlockV2(SwinTransformerBlock): 2022-12-01T10:55:59.9395372Z 2022-12-01T10:55:59.9395500Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9395563Z ========== 2022-12-01T10:55:59.9395920Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SwinTransformer /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py line 502 2022-12-01T10:55:59.9395982Z due to: 2022-12-01T10:55:59.9396072Z Traceback (most recent call last): 2022-12-01T10:55:59.9396218Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9396287Z raise Unsupported(msg) 2022-12-01T10:55:59.9396406Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9396411Z 2022-12-01T10:55:59.9396477Z from user code: 2022-12-01T10:55:59.9396771Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/swin_transformer.py", line 502, in SwinTransformer 2022-12-01T10:55:59.9396866Z class SwinTransformer(nn.Module): 2022-12-01T10:55:59.9396871Z 2022-12-01T10:55:59.9396998Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9397062Z ========== 2022-12-01T10:55:59.9397384Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MBConv /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 52 2022-12-01T10:55:59.9397435Z due to: 2022-12-01T10:55:59.9397524Z Traceback (most recent call last): 2022-12-01T10:55:59.9397673Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9397756Z raise Unsupported(msg) 2022-12-01T10:55:59.9397877Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9397882Z 2022-12-01T10:55:59.9397948Z from user code: 2022-12-01T10:55:59.9398213Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 52, in MBConv 2022-12-01T10:55:59.9398294Z class MBConv(nn.Module): 2022-12-01T10:55:59.9398299Z 2022-12-01T10:55:59.9398414Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9398476Z ========== 2022-12-01T10:55:59.9398875Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RelativePositionalMultiHeadAttention /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 139 2022-12-01T10:55:59.9398940Z due to: 2022-12-01T10:55:59.9399028Z Traceback (most recent call last): 2022-12-01T10:55:59.9399201Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9399325Z raise Unsupported(msg) 2022-12-01T10:55:59.9399446Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9399462Z 2022-12-01T10:55:59.9399519Z from user code: 2022-12-01T10:55:59.9399853Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 139, in RelativePositionalMultiHeadAttention 2022-12-01T10:55:59.9400002Z class RelativePositionalMultiHeadAttention(nn.Module): 2022-12-01T10:55:59.9400008Z 2022-12-01T10:55:59.9400135Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9400195Z ========== 2022-12-01T10:55:59.9400522Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SwapAxes /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 212 2022-12-01T10:55:59.9400621Z due to: 2022-12-01T10:55:59.9400710Z Traceback (most recent call last): 2022-12-01T10:55:59.9400847Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9400927Z raise Unsupported(msg) 2022-12-01T10:55:59.9401047Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9401052Z 2022-12-01T10:55:59.9401119Z from user code: 2022-12-01T10:55:59.9401383Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 212, in SwapAxes 2022-12-01T10:55:59.9401499Z class SwapAxes(nn.Module): 2022-12-01T10:55:59.9401505Z 2022-12-01T10:55:59.9401633Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9401694Z ========== 2022-12-01T10:55:59.9402022Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT WindowPartition /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 225 2022-12-01T10:55:59.9402089Z due to: 2022-12-01T10:55:59.9402179Z Traceback (most recent call last): 2022-12-01T10:55:59.9402327Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9402408Z raise Unsupported(msg) 2022-12-01T10:55:59.9402528Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9402533Z 2022-12-01T10:55:59.9402602Z from user code: 2022-12-01T10:55:59.9402866Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 225, in WindowPartition 2022-12-01T10:55:59.9402962Z class WindowPartition(nn.Module): 2022-12-01T10:55:59.9402969Z 2022-12-01T10:55:59.9403097Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9403159Z ========== 2022-12-01T10:55:59.9403502Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT WindowDepartition /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 251 2022-12-01T10:55:59.9403566Z due to: 2022-12-01T10:55:59.9403655Z Traceback (most recent call last): 2022-12-01T10:55:59.9403803Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9403872Z raise Unsupported(msg) 2022-12-01T10:55:59.9403990Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9403994Z 2022-12-01T10:55:59.9404061Z from user code: 2022-12-01T10:55:59.9404341Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 251, in WindowDepartition 2022-12-01T10:55:59.9404440Z class WindowDepartition(nn.Module): 2022-12-01T10:55:59.9404445Z 2022-12-01T10:55:59.9404575Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9404637Z ========== 2022-12-01T10:55:59.9404998Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT PartitionAttentionLayer /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 281 2022-12-01T10:55:59.9405050Z due to: 2022-12-01T10:55:59.9405139Z Traceback (most recent call last): 2022-12-01T10:55:59.9405285Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9405367Z raise Unsupported(msg) 2022-12-01T10:55:59.9405488Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9405493Z 2022-12-01T10:55:59.9405560Z from user code: 2022-12-01T10:55:59.9405851Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 281, in PartitionAttentionLayer 2022-12-01T10:55:59.9405967Z class PartitionAttentionLayer(nn.Module): 2022-12-01T10:55:59.9405973Z 2022-12-01T10:55:59.9406091Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9406151Z ========== 2022-12-01T10:55:59.9406485Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MaxVitLayer /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 385 2022-12-01T10:55:59.9406579Z due to: 2022-12-01T10:55:59.9406668Z Traceback (most recent call last): 2022-12-01T10:55:59.9406895Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9407108Z raise Unsupported(msg) 2022-12-01T10:55:59.9407230Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9407249Z 2022-12-01T10:55:59.9407306Z from user code: 2022-12-01T10:55:59.9407581Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 385, in MaxVitLayer 2022-12-01T10:55:59.9407672Z class MaxVitLayer(nn.Module): 2022-12-01T10:55:59.9407677Z 2022-12-01T10:55:59.9407808Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9407933Z ========== 2022-12-01T10:55:59.9408269Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MaxVitBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 482 2022-12-01T10:55:59.9408333Z due to: 2022-12-01T10:55:59.9408410Z Traceback (most recent call last): 2022-12-01T10:55:59.9408562Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9408643Z raise Unsupported(msg) 2022-12-01T10:55:59.9408766Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9408771Z 2022-12-01T10:55:59.9408842Z from user code: 2022-12-01T10:55:59.9409112Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 482, in MaxVitBlock 2022-12-01T10:55:59.9409202Z class MaxVitBlock(nn.Module): 2022-12-01T10:55:59.9409207Z 2022-12-01T10:55:59.9409338Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9409387Z ========== 2022-12-01T10:55:59.9409714Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MaxVit /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py line 567 2022-12-01T10:55:59.9409780Z due to: 2022-12-01T10:55:59.9409870Z Traceback (most recent call last): 2022-12-01T10:55:59.9410017Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9410098Z raise Unsupported(msg) 2022-12-01T10:55:59.9410218Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9410223Z 2022-12-01T10:55:59.9410290Z from user code: 2022-12-01T10:55:59.9410537Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/maxvit.py", line 567, in MaxVit 2022-12-01T10:55:59.9410621Z class MaxVit(nn.Module): 2022-12-01T10:55:59.9410626Z 2022-12-01T10:55:59.9410755Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9410816Z ========== 2022-12-01T10:55:59.9411221Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BalancedPositiveNegativeSampler /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py line 11 2022-12-01T10:55:59.9411284Z due to: 2022-12-01T10:55:59.9411373Z Traceback (most recent call last): 2022-12-01T10:55:59.9411517Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9411588Z raise Unsupported(msg) 2022-12-01T10:55:59.9411708Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9411713Z 2022-12-01T10:55:59.9411781Z from user code: 2022-12-01T10:55:59.9412108Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py", line 11, in BalancedPositiveNegativeSampler 2022-12-01T10:55:59.9412227Z class BalancedPositiveNegativeSampler: 2022-12-01T10:55:59.9412232Z 2022-12-01T10:55:59.9412361Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9412421Z ========== 2022-12-01T10:55:59.9412764Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BoxCoder /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py line 122 2022-12-01T10:55:59.9412815Z due to: 2022-12-01T10:55:59.9412905Z Traceback (most recent call last): 2022-12-01T10:55:59.9413051Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9413173Z raise Unsupported(msg) 2022-12-01T10:55:59.9413294Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9413299Z 2022-12-01T10:55:59.9413367Z from user code: 2022-12-01T10:55:59.9413637Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py", line 122, in BoxCoder 2022-12-01T10:55:59.9421473Z class BoxCoder: 2022-12-01T10:55:59.9421487Z 2022-12-01T10:55:59.9421669Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9421734Z ========== 2022-12-01T10:55:59.9422255Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BoxLinearCoder /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py line 227 2022-12-01T10:55:59.9422321Z due to: 2022-12-01T10:55:59.9422413Z Traceback (most recent call last): 2022-12-01T10:55:59.9422555Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9422644Z raise Unsupported(msg) 2022-12-01T10:55:59.9422764Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9422771Z 2022-12-01T10:55:59.9422840Z from user code: 2022-12-01T10:55:59.9423142Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py", line 227, in BoxLinearCoder 2022-12-01T10:55:59.9423226Z class BoxLinearCoder: 2022-12-01T10:55:59.9423231Z 2022-12-01T10:55:59.9423363Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9423414Z ========== 2022-12-01T10:55:59.9423759Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Matcher /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py line 314 2022-12-01T10:55:59.9423823Z due to: 2022-12-01T10:55:59.9423914Z Traceback (most recent call last): 2022-12-01T10:55:59.9424063Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9424145Z raise Unsupported(msg) 2022-12-01T10:55:59.9424269Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9424274Z 2022-12-01T10:55:59.9424340Z from user code: 2022-12-01T10:55:59.9424608Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py", line 314, in Matcher 2022-12-01T10:55:59.9424681Z class Matcher: 2022-12-01T10:55:59.9424687Z 2022-12-01T10:55:59.9424814Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9424877Z ========== 2022-12-01T10:55:59.9425224Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDMatcher /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py line 428 2022-12-01T10:55:59.9425288Z due to: 2022-12-01T10:55:59.9425382Z Traceback (most recent call last): 2022-12-01T10:55:59.9425530Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9425601Z raise Unsupported(msg) 2022-12-01T10:55:59.9425725Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9425732Z 2022-12-01T10:55:59.9425800Z from user code: 2022-12-01T10:55:59.9426082Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py", line 428, in SSDMatcher 2022-12-01T10:55:59.9426166Z class SSDMatcher(Matcher): 2022-12-01T10:55:59.9426171Z 2022-12-01T10:55:59.9426299Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9426362Z ========== 2022-12-01T10:55:59.9426715Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ImageList /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/image_list.py line 7 2022-12-01T10:55:59.9426768Z due to: 2022-12-01T10:55:59.9426862Z Traceback (most recent call last): 2022-12-01T10:55:59.9427009Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9427095Z raise Unsupported(msg) 2022-12-01T10:55:59.9427214Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9427275Z 2022-12-01T10:55:59.9427344Z from user code: 2022-12-01T10:55:59.9427628Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/image_list.py", line 7, in ImageList 2022-12-01T10:55:59.9427700Z class ImageList: 2022-12-01T10:55:59.9427706Z 2022-12-01T10:55:59.9427823Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9427884Z ========== 2022-12-01T10:55:59.9428246Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT AnchorGenerator /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py line 10 2022-12-01T10:55:59.9428311Z due to: 2022-12-01T10:55:59.9428399Z Traceback (most recent call last): 2022-12-01T10:55:59.9428577Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9428659Z raise Unsupported(msg) 2022-12-01T10:55:59.9428768Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9428786Z 2022-12-01T10:55:59.9428842Z from user code: 2022-12-01T10:55:59.9429144Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py", line 10, in AnchorGenerator 2022-12-01T10:55:59.9429244Z class AnchorGenerator(nn.Module): 2022-12-01T10:55:59.9429249Z 2022-12-01T10:55:59.9429377Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9429441Z ========== 2022-12-01T10:55:59.9429817Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT DefaultBoxGenerator /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py line 136 2022-12-01T10:55:59.9429879Z due to: 2022-12-01T10:55:59.9429958Z Traceback (most recent call last): 2022-12-01T10:55:59.9430109Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9430192Z raise Unsupported(msg) 2022-12-01T10:55:59.9430313Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9430317Z 2022-12-01T10:55:59.9430383Z from user code: 2022-12-01T10:55:59.9430700Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py", line 136, in DefaultBoxGenerator 2022-12-01T10:55:59.9430804Z class DefaultBoxGenerator(nn.Module): 2022-12-01T10:55:59.9430810Z 2022-12-01T10:55:59.9430938Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9430988Z ========== 2022-12-01T10:55:59.9431356Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BackboneWithFPN /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/backbone_utils.py line 13 2022-12-01T10:55:59.9431418Z due to: 2022-12-01T10:55:59.9431510Z Traceback (most recent call last): 2022-12-01T10:55:59.9431659Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9431739Z raise Unsupported(msg) 2022-12-01T10:55:59.9431862Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9431867Z 2022-12-01T10:55:59.9431935Z from user code: 2022-12-01T10:55:59.9432229Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/backbone_utils.py", line 13, in BackboneWithFPN 2022-12-01T10:55:59.9432327Z class BackboneWithFPN(nn.Module): 2022-12-01T10:55:59.9432332Z 2022-12-01T10:55:59.9432459Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9432520Z ========== 2022-12-01T10:55:59.9432891Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT GeneralizedRCNN /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/generalized_rcnn.py line 15 2022-12-01T10:55:59.9432956Z due to: 2022-12-01T10:55:59.9433045Z Traceback (most recent call last): 2022-12-01T10:55:59.9433194Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9433263Z raise Unsupported(msg) 2022-12-01T10:55:59.9433383Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9433389Z 2022-12-01T10:55:59.9433458Z from user code: 2022-12-01T10:55:59.9433797Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/generalized_rcnn.py", line 15, in GeneralizedRCNN 2022-12-01T10:55:59.9433891Z class GeneralizedRCNN(nn.Module): 2022-12-01T10:55:59.9433896Z 2022-12-01T10:55:59.9434023Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9434085Z ========== 2022-12-01T10:55:59.9434426Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RPNHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py line 15 2022-12-01T10:55:59.9434478Z due to: 2022-12-01T10:55:59.9434566Z Traceback (most recent call last): 2022-12-01T10:55:59.9434743Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9434826Z raise Unsupported(msg) 2022-12-01T10:55:59.9434944Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9434949Z 2022-12-01T10:55:59.9435016Z from user code: 2022-12-01T10:55:59.9435288Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py", line 15, in RPNHead 2022-12-01T10:55:59.9435373Z class RPNHead(nn.Module): 2022-12-01T10:55:59.9435378Z 2022-12-01T10:55:59.9435494Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9435555Z ========== 2022-12-01T10:55:59.9435922Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RegionProposalNetwork /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py line 113 2022-12-01T10:55:59.9435984Z due to: 2022-12-01T10:55:59.9436075Z Traceback (most recent call last): 2022-12-01T10:55:59.9436223Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9436303Z raise Unsupported(msg) 2022-12-01T10:55:59.9436411Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9436428Z 2022-12-01T10:55:59.9436484Z from user code: 2022-12-01T10:55:59.9436784Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py", line 113, in RegionProposalNetwork 2022-12-01T10:55:59.9436906Z class RegionProposalNetwork(torch.nn.Module): 2022-12-01T10:55:59.9436911Z 2022-12-01T10:55:59.9437039Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9437101Z ========== 2022-12-01T10:55:59.9437487Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT GeneralizedRCNNTransform /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py line 74 2022-12-01T10:55:59.9437549Z due to: 2022-12-01T10:55:59.9437639Z Traceback (most recent call last): 2022-12-01T10:55:59.9437774Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9437853Z raise Unsupported(msg) 2022-12-01T10:55:59.9437974Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9437979Z 2022-12-01T10:55:59.9438047Z from user code: 2022-12-01T10:55:59.9438362Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py", line 74, in GeneralizedRCNNTransform 2022-12-01T10:55:59.9438479Z class GeneralizedRCNNTransform(nn.Module): 2022-12-01T10:55:59.9438483Z 2022-12-01T10:55:59.9438611Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9438671Z ========== 2022-12-01T10:55:59.9439028Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FastRCNNConvFCHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/faster_rcnn.py line 307 2022-12-01T10:55:59.9439090Z due to: 2022-12-01T10:55:59.9439180Z Traceback (most recent call last): 2022-12-01T10:55:59.9439330Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9439411Z raise Unsupported(msg) 2022-12-01T10:55:59.9439532Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9439537Z 2022-12-01T10:55:59.9439605Z from user code: 2022-12-01T10:55:59.9439902Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/faster_rcnn.py", line 307, in FastRCNNConvFCHead 2022-12-01T10:55:59.9440044Z class FastRCNNConvFCHead(nn.Sequential): 2022-12-01T10:55:59.9440049Z 2022-12-01T10:55:59.9440177Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9440237Z ========== 2022-12-01T10:55:59.9440576Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FCOSHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py line 31 2022-12-01T10:55:59.9440641Z due to: 2022-12-01T10:55:59.9440734Z Traceback (most recent call last): 2022-12-01T10:55:59.9440881Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9440982Z raise Unsupported(msg) 2022-12-01T10:55:59.9441104Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9441109Z 2022-12-01T10:55:59.9441175Z from user code: 2022-12-01T10:55:59.9441451Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py", line 31, in FCOSHead 2022-12-01T10:55:59.9441541Z class FCOSHead(nn.Module): 2022-12-01T10:55:59.9441546Z 2022-12-01T10:55:59.9441675Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9441738Z ========== 2022-12-01T10:55:59.9442109Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FCOSClassificationHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py line 137 2022-12-01T10:55:59.9442159Z due to: 2022-12-01T10:55:59.9442244Z Traceback (most recent call last): 2022-12-01T10:55:59.9442389Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9442473Z raise Unsupported(msg) 2022-12-01T10:55:59.9442593Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9442598Z 2022-12-01T10:55:59.9442664Z from user code: 2022-12-01T10:55:59.9442968Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py", line 137, in FCOSClassificationHead 2022-12-01T10:55:59.9443083Z class FCOSClassificationHead(nn.Module): 2022-12-01T10:55:59.9443088Z 2022-12-01T10:55:59.9443204Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9443269Z ========== 2022-12-01T10:55:59.9443630Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FCOSRegressionHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py line 201 2022-12-01T10:55:59.9443694Z due to: 2022-12-01T10:55:59.9443783Z Traceback (most recent call last): 2022-12-01T10:55:59.9443929Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9444010Z raise Unsupported(msg) 2022-12-01T10:55:59.9444131Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9444136Z 2022-12-01T10:55:59.9444193Z from user code: 2022-12-01T10:55:59.9444489Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py", line 201, in FCOSRegressionHead 2022-12-01T10:55:59.9444598Z class FCOSRegressionHead(nn.Module): 2022-12-01T10:55:59.9444603Z 2022-12-01T10:55:59.9444729Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9444790Z ========== 2022-12-01T10:55:59.9445117Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FCOS /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py line 270 2022-12-01T10:55:59.9445185Z due to: 2022-12-01T10:55:59.9445274Z Traceback (most recent call last): 2022-12-01T10:55:59.9445410Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9445490Z raise Unsupported(msg) 2022-12-01T10:55:59.9445615Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9445619Z 2022-12-01T10:55:59.9445687Z from user code: 2022-12-01T10:55:59.9445957Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/fcos.py", line 270, in FCOS 2022-12-01T10:55:59.9446065Z class FCOS(nn.Module): 2022-12-01T10:55:59.9446070Z 2022-12-01T10:55:59.9446197Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9446258Z ========== 2022-12-01T10:55:59.9446604Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MaskRCNNHeads /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/mask_rcnn.py line 268 2022-12-01T10:55:59.9446665Z due to: 2022-12-01T10:55:59.9446876Z Traceback (most recent call last): 2022-12-01T10:55:59.9447157Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9447241Z raise Unsupported(msg) 2022-12-01T10:55:59.9447425Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9447431Z 2022-12-01T10:55:59.9447499Z from user code: 2022-12-01T10:55:59.9447785Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/mask_rcnn.py", line 268, in MaskRCNNHeads 2022-12-01T10:55:59.9447883Z class MaskRCNNHeads(nn.Sequential): 2022-12-01T10:55:59.9447890Z 2022-12-01T10:55:59.9448022Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9448083Z ========== 2022-12-01T10:55:59.9448439Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RetinaNetHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py line 57 2022-12-01T10:55:59.9448502Z due to: 2022-12-01T10:55:59.9448591Z Traceback (most recent call last): 2022-12-01T10:55:59.9448742Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9448811Z raise Unsupported(msg) 2022-12-01T10:55:59.9448931Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9448938Z 2022-12-01T10:55:59.9449008Z from user code: 2022-12-01T10:55:59.9449298Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py", line 57, in RetinaNetHead 2022-12-01T10:55:59.9449390Z class RetinaNetHead(nn.Module): 2022-12-01T10:55:59.9449397Z 2022-12-01T10:55:59.9449524Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9449586Z ========== 2022-12-01T10:55:59.9449974Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RetinaNetClassificationHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py line 87 2022-12-01T10:55:59.9450025Z due to: 2022-12-01T10:55:59.9450113Z Traceback (most recent call last): 2022-12-01T10:55:59.9450261Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9450344Z raise Unsupported(msg) 2022-12-01T10:55:59.9450463Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9450470Z 2022-12-01T10:55:59.9450539Z from user code: 2022-12-01T10:55:59.9450864Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py", line 87, in RetinaNetClassificationHead 2022-12-01T10:55:59.9450989Z class RetinaNetClassificationHead(nn.Module): 2022-12-01T10:55:59.9450996Z 2022-12-01T10:55:59.9451111Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9451171Z ========== 2022-12-01T10:55:59.9451551Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RetinaNetRegressionHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py line 210 2022-12-01T10:55:59.9451615Z due to: 2022-12-01T10:55:59.9451705Z Traceback (most recent call last): 2022-12-01T10:55:59.9451854Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9451934Z raise Unsupported(msg) 2022-12-01T10:55:59.9452054Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9452061Z 2022-12-01T10:55:59.9452116Z from user code: 2022-12-01T10:55:59.9452430Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py", line 210, in RetinaNetRegressionHead 2022-12-01T10:55:59.9452544Z class RetinaNetRegressionHead(nn.Module): 2022-12-01T10:55:59.9452587Z 2022-12-01T10:55:59.9452718Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9452779Z ========== 2022-12-01T10:55:59.9453135Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT RetinaNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py line 323 2022-12-01T10:55:59.9453196Z due to: 2022-12-01T10:55:59.9453285Z Traceback (most recent call last): 2022-12-01T10:55:59.9453419Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9453498Z raise Unsupported(msg) 2022-12-01T10:55:59.9453619Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9453691Z 2022-12-01T10:55:59.9453761Z from user code: 2022-12-01T10:55:59.9454051Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/retinanet.py", line 323, in RetinaNet 2022-12-01T10:55:59.9454138Z class RetinaNet(nn.Module): 2022-12-01T10:55:59.9454145Z 2022-12-01T10:55:59.9454272Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9454335Z ========== 2022-12-01T10:55:59.9454661Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py line 56 2022-12-01T10:55:59.9454722Z due to: 2022-12-01T10:55:59.9454814Z Traceback (most recent call last): 2022-12-01T10:55:59.9454964Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9455045Z raise Unsupported(msg) 2022-12-01T10:55:59.9455166Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9455171Z 2022-12-01T10:55:59.9455241Z from user code: 2022-12-01T10:55:59.9455512Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py", line 56, in SSDHead 2022-12-01T10:55:59.9455584Z class SSDHead(nn.Module): 2022-12-01T10:55:59.9455589Z 2022-12-01T10:55:59.9455717Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9455783Z ========== 2022-12-01T10:55:59.9456130Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDScoringHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py line 69 2022-12-01T10:55:59.9456192Z due to: 2022-12-01T10:55:59.9456285Z Traceback (most recent call last): 2022-12-01T10:55:59.9456432Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9456500Z raise Unsupported(msg) 2022-12-01T10:55:59.9456621Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9456626Z 2022-12-01T10:55:59.9456695Z from user code: 2022-12-01T10:55:59.9456980Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py", line 69, in SSDScoringHead 2022-12-01T10:55:59.9457076Z class SSDScoringHead(nn.Module): 2022-12-01T10:55:59.9457081Z 2022-12-01T10:55:59.9457208Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9457270Z ========== 2022-12-01T10:55:59.9457601Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSD /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py line 124 2022-12-01T10:55:59.9457654Z due to: 2022-12-01T10:55:59.9457742Z Traceback (most recent call last): 2022-12-01T10:55:59.9457890Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9457972Z raise Unsupported(msg) 2022-12-01T10:55:59.9458092Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9458098Z 2022-12-01T10:55:59.9458165Z from user code: 2022-12-01T10:55:59.9458433Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py", line 124, in SSD 2022-12-01T10:55:59.9458508Z class SSD(nn.Module): 2022-12-01T10:55:59.9458513Z 2022-12-01T10:55:59.9458629Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9458692Z ========== 2022-12-01T10:55:59.9459094Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDFeatureExtractorVGG /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py line 464 2022-12-01T10:55:59.9459157Z due to: 2022-12-01T10:55:59.9459249Z Traceback (most recent call last): 2022-12-01T10:55:59.9459399Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9459479Z raise Unsupported(msg) 2022-12-01T10:55:59.9459602Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9459607Z 2022-12-01T10:55:59.9459664Z from user code: 2022-12-01T10:55:59.9459998Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssd.py", line 464, in SSDFeatureExtractorVGG 2022-12-01T10:55:59.9460114Z class SSDFeatureExtractorVGG(nn.Module): 2022-12-01T10:55:59.9460119Z 2022-12-01T10:55:59.9460247Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9460309Z ========== 2022-12-01T10:55:59.9460660Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDLiteHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py line 81 2022-12-01T10:55:59.9460724Z due to: 2022-12-01T10:55:59.9460814Z Traceback (most recent call last): 2022-12-01T10:55:59.9460951Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9461030Z raise Unsupported(msg) 2022-12-01T10:55:59.9461151Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9461156Z 2022-12-01T10:55:59.9461232Z from user code: 2022-12-01T10:55:59.9461517Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py", line 81, in SSDLiteHead 2022-12-01T10:55:59.9461606Z class SSDLiteHead(nn.Module): 2022-12-01T10:55:59.9461612Z 2022-12-01T10:55:59.9461740Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9461800Z ========== 2022-12-01T10:55:59.9462170Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDLiteClassificationHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py line 96 2022-12-01T10:55:59.9462235Z due to: 2022-12-01T10:55:59.9462323Z Traceback (most recent call last): 2022-12-01T10:55:59.9462470Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9462552Z raise Unsupported(msg) 2022-12-01T10:55:59.9462671Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9462676Z 2022-12-01T10:55:59.9462743Z from user code: 2022-12-01T10:55:59.9463059Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py", line 96, in SSDLiteClassificationHead 2022-12-01T10:55:59.9463177Z class SSDLiteClassificationHead(SSDScoringHead): 2022-12-01T10:55:59.9463182Z 2022-12-01T10:55:59.9463312Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9463373Z ========== 2022-12-01T10:55:59.9463746Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDLiteRegressionHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py line 107 2022-12-01T10:55:59.9463811Z due to: 2022-12-01T10:55:59.9463900Z Traceback (most recent call last): 2022-12-01T10:55:59.9464045Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9464115Z raise Unsupported(msg) 2022-12-01T10:55:59.9464233Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9464238Z 2022-12-01T10:55:59.9464305Z from user code: 2022-12-01T10:55:59.9464615Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py", line 107, in SSDLiteRegressionHead 2022-12-01T10:55:59.9464735Z class SSDLiteRegressionHead(SSDScoringHead): 2022-12-01T10:55:59.9464740Z 2022-12-01T10:55:59.9464867Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9464927Z ========== 2022-12-01T10:55:59.9465332Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SSDLiteFeatureExtractorMobileNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py line 116 2022-12-01T10:55:59.9465425Z due to: 2022-12-01T10:55:59.9465502Z Traceback (most recent call last): 2022-12-01T10:55:59.9465648Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9465734Z raise Unsupported(msg) 2022-12-01T10:55:59.9465854Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9465858Z 2022-12-01T10:55:59.9465927Z from user code: 2022-12-01T10:55:59.9466295Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/ssdlite.py", line 116, in SSDLiteFeatureExtractorMobileNet 2022-12-01T10:55:59.9466431Z class SSDLiteFeatureExtractorMobileNet(nn.Module): 2022-12-01T10:55:59.9466436Z 2022-12-01T10:55:59.9466569Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9466621Z ========== 2022-12-01T10:55:59.9466983Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT FeatureEncoder /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/optical_flow/raft.py line 116 2022-12-01T10:55:59.9467049Z due to: 2022-12-01T10:55:59.9467142Z Traceback (most recent call last): 2022-12-01T10:55:59.9467288Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9467371Z raise Unsupported(msg) 2022-12-01T10:55:59.9467493Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9467498Z 2022-12-01T10:55:59.9467554Z from user code: 2022-12-01T10:55:59.9467848Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/optical_flow/raft.py", line 116, in FeatureEncoder 2022-12-01T10:55:59.9467942Z class FeatureEncoder(nn.Module): 2022-12-01T10:55:59.9467948Z 2022-12-01T10:55:59.9468077Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9468136Z ========== 2022-12-01T10:55:59.9468520Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableBasicConv2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py line 25 2022-12-01T10:55:59.9468584Z due to: 2022-12-01T10:55:59.9468675Z Traceback (most recent call last): 2022-12-01T10:55:59.9468812Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9468892Z raise Unsupported(msg) 2022-12-01T10:55:59.9469012Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9469017Z 2022-12-01T10:55:59.9469084Z from user code: 2022-12-01T10:55:59.9469408Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py", line 25, in QuantizableBasicConv2d 2022-12-01T10:55:59.9469524Z class QuantizableBasicConv2d(BasicConv2d): 2022-12-01T10:55:59.9469529Z 2022-12-01T10:55:59.9469656Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9469716Z ========== 2022-12-01T10:55:59.9470083Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInception /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py line 40 2022-12-01T10:55:59.9470145Z due to: 2022-12-01T10:55:59.9470234Z Traceback (most recent call last): 2022-12-01T10:55:59.9470384Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9470466Z raise Unsupported(msg) 2022-12-01T10:55:59.9470584Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9470589Z 2022-12-01T10:55:59.9470659Z from user code: 2022-12-01T10:55:59.9470974Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py", line 40, in QuantizableInception 2022-12-01T10:55:59.9471070Z class QuantizableInception(Inception): 2022-12-01T10:55:59.9471085Z 2022-12-01T10:55:59.9471200Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9471259Z ========== 2022-12-01T10:55:59.9471686Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInceptionAux /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py line 50 2022-12-01T10:55:59.9471751Z due to: 2022-12-01T10:55:59.9471843Z Traceback (most recent call last): 2022-12-01T10:55:59.9471994Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9472076Z raise Unsupported(msg) 2022-12-01T10:55:59.9472184Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9472189Z 2022-12-01T10:55:59.9472259Z from user code: 2022-12-01T10:55:59.9472611Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py", line 50, in QuantizableInceptionAux 2022-12-01T10:55:59.9472735Z class QuantizableInceptionAux(InceptionAux): 2022-12-01T10:55:59.9472740Z 2022-12-01T10:55:59.9475432Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9475496Z ========== 2022-12-01T10:55:59.9475909Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableGoogLeNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py line 74 2022-12-01T10:55:59.9475976Z due to: 2022-12-01T10:55:59.9476073Z Traceback (most recent call last): 2022-12-01T10:55:59.9476224Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9476308Z raise Unsupported(msg) 2022-12-01T10:55:59.9476418Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9476424Z 2022-12-01T10:55:59.9476495Z from user code: 2022-12-01T10:55:59.9476813Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/googlenet.py", line 74, in QuantizableGoogLeNet 2022-12-01T10:55:59.9476922Z class QuantizableGoogLeNet(GoogLeNet): 2022-12-01T10:55:59.9476927Z 2022-12-01T10:55:59.9477133Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9477196Z ========== 2022-12-01T10:55:59.9477583Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableBasicConv2d /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py line 26 2022-12-01T10:55:59.9477645Z due to: 2022-12-01T10:55:59.9477734Z Traceback (most recent call last): 2022-12-01T10:55:59.9477886Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9477968Z raise Unsupported(msg) 2022-12-01T10:55:59.9478077Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9478082Z 2022-12-01T10:55:59.9478151Z from user code: 2022-12-01T10:55:59.9478473Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 26, in QuantizableBasicConv2d 2022-12-01T10:55:59.9478616Z class QuantizableBasicConv2d(inception_module.BasicConv2d): 2022-12-01T10:55:59.9478622Z 2022-12-01T10:55:59.9478754Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9478815Z ========== 2022-12-01T10:55:59.9479200Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInceptionA /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py line 41 2022-12-01T10:55:59.9479264Z due to: 2022-12-01T10:55:59.9479342Z Traceback (most recent call last): 2022-12-01T10:55:59.9479487Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9479566Z raise Unsupported(msg) 2022-12-01T10:55:59.9479688Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9479693Z 2022-12-01T10:55:59.9479760Z from user code: 2022-12-01T10:55:59.9480080Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 41, in QuantizableInceptionA 2022-12-01T10:55:59.9480219Z class QuantizableInceptionA(inception_module.InceptionA): 2022-12-01T10:55:59.9480227Z 2022-12-01T10:55:59.9480356Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9480405Z ========== 2022-12-01T10:55:59.9480785Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInceptionB /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py line 52 2022-12-01T10:55:59.9480847Z due to: 2022-12-01T10:55:59.9480935Z Traceback (most recent call last): 2022-12-01T10:55:59.9481080Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9481160Z raise Unsupported(msg) 2022-12-01T10:55:59.9481282Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9481287Z 2022-12-01T10:55:59.9481354Z from user code: 2022-12-01T10:55:59.9481724Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 52, in QuantizableInceptionB 2022-12-01T10:55:59.9481866Z class QuantizableInceptionB(inception_module.InceptionB): 2022-12-01T10:55:59.9481920Z 2022-12-01T10:55:59.9482049Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9482113Z ========== 2022-12-01T10:55:59.9482497Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInceptionC /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py line 63 2022-12-01T10:55:59.9482561Z due to: 2022-12-01T10:55:59.9482651Z Traceback (most recent call last): 2022-12-01T10:55:59.9482800Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9482869Z raise Unsupported(msg) 2022-12-01T10:55:59.9482988Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9482993Z 2022-12-01T10:55:59.9483063Z from user code: 2022-12-01T10:55:59.9483382Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 63, in QuantizableInceptionC 2022-12-01T10:55:59.9483519Z class QuantizableInceptionC(inception_module.InceptionC): 2022-12-01T10:55:59.9483526Z 2022-12-01T10:55:59.9483655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9483717Z ========== 2022-12-01T10:55:59.9484096Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInceptionD /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py line 74 2022-12-01T10:55:59.9484147Z due to: 2022-12-01T10:55:59.9484236Z Traceback (most recent call last): 2022-12-01T10:55:59.9484386Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9484466Z raise Unsupported(msg) 2022-12-01T10:55:59.9484585Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9484590Z 2022-12-01T10:55:59.9484658Z from user code: 2022-12-01T10:55:59.9484972Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 74, in QuantizableInceptionD 2022-12-01T10:55:59.9485110Z class QuantizableInceptionD(inception_module.InceptionD): 2022-12-01T10:55:59.9485116Z 2022-12-01T10:55:59.9485233Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9485294Z ========== 2022-12-01T10:55:59.9485673Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInceptionE /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py line 85 2022-12-01T10:55:59.9485735Z due to: 2022-12-01T10:55:59.9485822Z Traceback (most recent call last): 2022-12-01T10:55:59.9485969Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9486051Z raise Unsupported(msg) 2022-12-01T10:55:59.9486169Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9486173Z 2022-12-01T10:55:59.9486232Z from user code: 2022-12-01T10:55:59.9486547Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 85, in QuantizableInceptionE 2022-12-01T10:55:59.9486686Z class QuantizableInceptionE(inception_module.InceptionE): 2022-12-01T10:55:59.9486690Z 2022-12-01T10:55:59.9486908Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9487150Z ========== 2022-12-01T10:55:59.9487542Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInception3 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py line 125 2022-12-01T10:55:59.9487607Z due to: 2022-12-01T10:55:59.9487696Z Traceback (most recent call last): 2022-12-01T10:55:59.9487832Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9487912Z raise Unsupported(msg) 2022-12-01T10:55:59.9488032Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9488036Z 2022-12-01T10:55:59.9488164Z from user code: 2022-12-01T10:55:59.9488485Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 125, in QuantizableInception3 2022-12-01T10:55:59.9488684Z class QuantizableInception3(inception_module.Inception3): 2022-12-01T10:55:59.9488689Z 2022-12-01T10:55:59.9488817Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9488878Z ========== 2022-12-01T10:55:59.9489271Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInvertedResidual /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv2.py line 23 2022-12-01T10:55:59.9489336Z due to: 2022-12-01T10:55:59.9489425Z Traceback (most recent call last): 2022-12-01T10:55:59.9489574Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9489655Z raise Unsupported(msg) 2022-12-01T10:55:59.9489775Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9489782Z 2022-12-01T10:55:59.9489850Z from user code: 2022-12-01T10:55:59.9490183Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv2.py", line 23, in QuantizableInvertedResidual 2022-12-01T10:55:59.9490310Z class QuantizableInvertedResidual(InvertedResidual): 2022-12-01T10:55:59.9490315Z 2022-12-01T10:55:59.9490442Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9490501Z ========== 2022-12-01T10:55:59.9490889Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableMobileNetV2 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv2.py line 40 2022-12-01T10:55:59.9490952Z due to: 2022-12-01T10:55:59.9491043Z Traceback (most recent call last): 2022-12-01T10:55:59.9491194Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9491276Z raise Unsupported(msg) 2022-12-01T10:55:59.9491386Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9491391Z 2022-12-01T10:55:59.9491458Z from user code: 2022-12-01T10:55:59.9491778Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv2.py", line 40, in QuantizableMobileNetV2 2022-12-01T10:55:59.9491898Z class QuantizableMobileNetV2(MobileNetV2): 2022-12-01T10:55:59.9491903Z 2022-12-01T10:55:59.9492028Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9492089Z ========== 2022-12-01T10:55:59.9492489Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableSqueezeExcitation /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv3.py line 30 2022-12-01T10:55:59.9492551Z due to: 2022-12-01T10:55:59.9492628Z Traceback (most recent call last): 2022-12-01T10:55:59.9492773Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9492854Z raise Unsupported(msg) 2022-12-01T10:55:59.9492977Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9492982Z 2022-12-01T10:55:59.9493047Z from user code: 2022-12-01T10:55:59.9493381Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv3.py", line 30, in QuantizableSqueezeExcitation 2022-12-01T10:55:59.9493524Z class QuantizableSqueezeExcitation(SqueezeExcitation): 2022-12-01T10:55:59.9493529Z 2022-12-01T10:55:59.9493659Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9493709Z ========== 2022-12-01T10:55:59.9494111Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInvertedResidual /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv3.py line 83 2022-12-01T10:55:59.9494173Z due to: 2022-12-01T10:55:59.9494261Z Traceback (most recent call last): 2022-12-01T10:55:59.9494411Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9494491Z raise Unsupported(msg) 2022-12-01T10:55:59.9494644Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9494649Z 2022-12-01T10:55:59.9494717Z from user code: 2022-12-01T10:55:59.9495038Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv3.py", line 83, in QuantizableInvertedResidual 2022-12-01T10:55:59.9495207Z class QuantizableInvertedResidual(InvertedResidual): 2022-12-01T10:55:59.9495212Z 2022-12-01T10:55:59.9495338Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9495399Z ========== 2022-12-01T10:55:59.9495781Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableMobileNetV3 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv3.py line 96 2022-12-01T10:55:59.9495847Z due to: 2022-12-01T10:55:59.9495935Z Traceback (most recent call last): 2022-12-01T10:55:59.9496084Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9496155Z raise Unsupported(msg) 2022-12-01T10:55:59.9496276Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9496280Z 2022-12-01T10:55:59.9496347Z from user code: 2022-12-01T10:55:59.9496668Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv3.py", line 96, in QuantizableMobileNetV3 2022-12-01T10:55:59.9496784Z class QuantizableMobileNetV3(MobileNetV3): 2022-12-01T10:55:59.9496788Z 2022-12-01T10:55:59.9496914Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9496974Z ========== 2022-12-01T10:55:59.9497347Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableBasicBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/resnet.py line 37 2022-12-01T10:55:59.9497398Z due to: 2022-12-01T10:55:59.9497486Z Traceback (most recent call last): 2022-12-01T10:55:59.9497634Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9497717Z raise Unsupported(msg) 2022-12-01T10:55:59.9497836Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9497840Z 2022-12-01T10:55:59.9497905Z from user code: 2022-12-01T10:55:59.9498215Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/resnet.py", line 37, in QuantizableBasicBlock 2022-12-01T10:55:59.9498326Z class QuantizableBasicBlock(BasicBlock): 2022-12-01T10:55:59.9498331Z 2022-12-01T10:55:59.9498446Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9498506Z ========== 2022-12-01T10:55:59.9498875Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableBottleneck /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/resnet.py line 65 2022-12-01T10:55:59.9498936Z due to: 2022-12-01T10:55:59.9499025Z Traceback (most recent call last): 2022-12-01T10:55:59.9499173Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9499253Z raise Unsupported(msg) 2022-12-01T10:55:59.9499372Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9499378Z 2022-12-01T10:55:59.9499434Z from user code: 2022-12-01T10:55:59.9499743Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/resnet.py", line 65, in QuantizableBottleneck 2022-12-01T10:55:59.9499853Z class QuantizableBottleneck(Bottleneck): 2022-12-01T10:55:59.9499858Z 2022-12-01T10:55:59.9499984Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9500044Z ========== 2022-12-01T10:55:59.9500407Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableResNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/resnet.py line 98 2022-12-01T10:55:59.9500468Z due to: 2022-12-01T10:55:59.9500555Z Traceback (most recent call last): 2022-12-01T10:55:59.9500690Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9500800Z raise Unsupported(msg) 2022-12-01T10:55:59.9500923Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9500927Z 2022-12-01T10:55:59.9500995Z from user code: 2022-12-01T10:55:59.9501324Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/resnet.py", line 98, in QuantizableResNet 2022-12-01T10:55:59.9501418Z class QuantizableResNet(ResNet): 2022-12-01T10:55:59.9501424Z 2022-12-01T10:55:59.9501551Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9501610Z ========== 2022-12-01T10:55:59.9502004Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableInvertedResidual /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/shufflenetv2.py line 35 2022-12-01T10:55:59.9502066Z due to: 2022-12-01T10:55:59.9502154Z Traceback (most recent call last): 2022-12-01T10:55:59.9502300Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9502381Z raise Unsupported(msg) 2022-12-01T10:55:59.9502499Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9502504Z 2022-12-01T10:55:59.9502570Z from user code: 2022-12-01T10:55:59.9502907Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/shufflenetv2.py", line 35, in QuantizableInvertedResidual 2022-12-01T10:55:59.9503061Z class QuantizableInvertedResidual(shufflenetv2.InvertedResidual): 2022-12-01T10:55:59.9503066Z 2022-12-01T10:55:59.9503192Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9503253Z ========== 2022-12-01T10:55:59.9503642Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT QuantizableShuffleNetV2 /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/shufflenetv2.py line 52 2022-12-01T10:55:59.9503705Z due to: 2022-12-01T10:55:59.9503793Z Traceback (most recent call last): 2022-12-01T10:55:59.9503942Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9504023Z raise Unsupported(msg) 2022-12-01T10:55:59.9504132Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9504137Z 2022-12-01T10:55:59.9504207Z from user code: 2022-12-01T10:55:59.9504533Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/quantization/shufflenetv2.py", line 52, in QuantizableShuffleNetV2 2022-12-01T10:55:59.9504680Z class QuantizableShuffleNetV2(shufflenetv2.ShuffleNetV2): 2022-12-01T10:55:59.9504686Z 2022-12-01T10:55:59.9504815Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9504876Z ========== 2022-12-01T10:55:59.9505254Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _SimpleSegmentationModel /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/_utils.py line 10 2022-12-01T10:55:59.9505314Z due to: 2022-12-01T10:55:59.9505391Z Traceback (most recent call last): 2022-12-01T10:55:59.9505540Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9505621Z raise Unsupported(msg) 2022-12-01T10:55:59.9505738Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9505745Z 2022-12-01T10:55:59.9505812Z from user code: 2022-12-01T10:55:59.9506124Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/_utils.py", line 10, in _SimpleSegmentationModel 2022-12-01T10:55:59.9506238Z class _SimpleSegmentationModel(nn.Module): 2022-12-01T10:55:59.9506243Z 2022-12-01T10:55:59.9506370Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9506419Z ========== 2022-12-01T10:55:59.9506779Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ASPPPooling /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/deeplabv3.py line 69 2022-12-01T10:55:59.9506842Z due to: 2022-12-01T10:55:59.9506932Z Traceback (most recent call last): 2022-12-01T10:55:59.9507109Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9507190Z raise Unsupported(msg) 2022-12-01T10:55:59.9507308Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9507357Z 2022-12-01T10:55:59.9507414Z from user code: 2022-12-01T10:55:59.9507710Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/deeplabv3.py", line 69, in ASPPPooling 2022-12-01T10:55:59.9507806Z class ASPPPooling(nn.Sequential): 2022-12-01T10:55:59.9507811Z 2022-12-01T10:55:59.9507938Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9507998Z ========== 2022-12-01T10:55:59.9508340Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT ASPP /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/deeplabv3.py line 85 2022-12-01T10:55:59.9508404Z due to: 2022-12-01T10:55:59.9508493Z Traceback (most recent call last): 2022-12-01T10:55:59.9508630Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9508709Z raise Unsupported(msg) 2022-12-01T10:55:59.9508831Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9508835Z 2022-12-01T10:55:59.9508904Z from user code: 2022-12-01T10:55:59.9509187Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/deeplabv3.py", line 85, in ASPP 2022-12-01T10:55:59.9509266Z class ASPP(nn.Module): 2022-12-01T10:55:59.9509271Z 2022-12-01T10:55:59.9509397Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9509457Z ========== 2022-12-01T10:55:59.9509788Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LRASPP /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/lraspp.py line 19 2022-12-01T10:55:59.9509850Z due to: 2022-12-01T10:55:59.9509940Z Traceback (most recent call last): 2022-12-01T10:55:59.9510087Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9510168Z raise Unsupported(msg) 2022-12-01T10:55:59.9510288Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9510292Z 2022-12-01T10:55:59.9510358Z from user code: 2022-12-01T10:55:59.9510645Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/lraspp.py", line 19, in LRASPP 2022-12-01T10:55:59.9510717Z class LRASPP(nn.Module): 2022-12-01T10:55:59.9510722Z 2022-12-01T10:55:59.9510850Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9510909Z ========== 2022-12-01T10:55:59.9511261Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT LRASPPHead /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/lraspp.py line 54 2022-12-01T10:55:59.9511325Z due to: 2022-12-01T10:55:59.9511415Z Traceback (most recent call last): 2022-12-01T10:55:59.9511559Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9511637Z raise Unsupported(msg) 2022-12-01T10:55:59.9511747Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9511751Z 2022-12-01T10:55:59.9511818Z from user code: 2022-12-01T10:55:59.9512103Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/segmentation/lraspp.py", line 54, in LRASPPHead 2022-12-01T10:55:59.9512193Z class LRASPPHead(nn.Module): 2022-12-01T10:55:59.9512199Z 2022-12-01T10:55:59.9512325Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9512384Z ========== 2022-12-01T10:55:59.9512703Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Pool /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py line 64 2022-12-01T10:55:59.9512764Z due to: 2022-12-01T10:55:59.9512842Z Traceback (most recent call last): 2022-12-01T10:55:59.9512987Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9513066Z raise Unsupported(msg) 2022-12-01T10:55:59.9513218Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9513224Z 2022-12-01T10:55:59.9513293Z from user code: 2022-12-01T10:55:59.9513554Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py", line 64, in Pool 2022-12-01T10:55:59.9513665Z class Pool(nn.Module): 2022-12-01T10:55:59.9513670Z 2022-12-01T10:55:59.9513798Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9513847Z ========== 2022-12-01T10:55:59.9514198Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MultiscaleAttention /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py line 195 2022-12-01T10:55:59.9514260Z due to: 2022-12-01T10:55:59.9514348Z Traceback (most recent call last): 2022-12-01T10:55:59.9514494Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9514574Z raise Unsupported(msg) 2022-12-01T10:55:59.9514694Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9514699Z 2022-12-01T10:55:59.9514757Z from user code: 2022-12-01T10:55:59.9515042Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py", line 195, in MultiscaleAttention 2022-12-01T10:55:59.9515150Z class MultiscaleAttention(nn.Module): 2022-12-01T10:55:59.9515156Z 2022-12-01T10:55:59.9515280Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9515341Z ========== 2022-12-01T10:55:59.9515683Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MultiscaleBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py line 323 2022-12-01T10:55:59.9515744Z due to: 2022-12-01T10:55:59.9515834Z Traceback (most recent call last): 2022-12-01T10:55:59.9515970Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9516047Z raise Unsupported(msg) 2022-12-01T10:55:59.9516166Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9516171Z 2022-12-01T10:55:59.9516239Z from user code: 2022-12-01T10:55:59.9516520Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py", line 323, in MultiscaleBlock 2022-12-01T10:55:59.9516617Z class MultiscaleBlock(nn.Module): 2022-12-01T10:55:59.9516622Z 2022-12-01T10:55:59.9516749Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9516808Z ========== 2022-12-01T10:55:59.9517147Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT PositionalEncoding /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py line 395 2022-12-01T10:55:59.9517209Z due to: 2022-12-01T10:55:59.9517295Z Traceback (most recent call last): 2022-12-01T10:55:59.9517442Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9517522Z raise Unsupported(msg) 2022-12-01T10:55:59.9517639Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9517645Z 2022-12-01T10:55:59.9517710Z from user code: 2022-12-01T10:55:59.9518000Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py", line 395, in PositionalEncoding 2022-12-01T10:55:59.9518091Z class PositionalEncoding(nn.Module): 2022-12-01T10:55:59.9518098Z 2022-12-01T10:55:59.9518226Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9518286Z ========== 2022-12-01T10:55:59.9518611Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT MViT /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py line 424 2022-12-01T10:55:59.9518676Z due to: 2022-12-01T10:55:59.9518763Z Traceback (most recent call last): 2022-12-01T10:55:59.9518910Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9518979Z raise Unsupported(msg) 2022-12-01T10:55:59.9519097Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9519102Z 2022-12-01T10:55:59.9519168Z from user code: 2022-12-01T10:55:59.9519458Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/mvit.py", line 424, in MViT 2022-12-01T10:55:59.9519540Z class MViT(nn.Module): 2022-12-01T10:55:59.9519545Z 2022-12-01T10:55:59.9519705Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9519764Z ========== 2022-12-01T10:55:59.9520095Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT BasicBlock /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/resnet.py line 86 2022-12-01T10:55:59.9520146Z due to: 2022-12-01T10:55:59.9520235Z Traceback (most recent call last): 2022-12-01T10:55:59.9520380Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9520460Z raise Unsupported(msg) 2022-12-01T10:55:59.9520578Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9520583Z 2022-12-01T10:55:59.9520650Z from user code: 2022-12-01T10:55:59.9520926Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/resnet.py", line 86, in BasicBlock 2022-12-01T10:55:59.9521013Z class BasicBlock(nn.Module): 2022-12-01T10:55:59.9521018Z 2022-12-01T10:55:59.9521135Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9521196Z ========== 2022-12-01T10:55:59.9521537Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT Bottleneck /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/resnet.py line 123 2022-12-01T10:55:59.9521601Z due to: 2022-12-01T10:55:59.9521691Z Traceback (most recent call last): 2022-12-01T10:55:59.9521836Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9521915Z raise Unsupported(msg) 2022-12-01T10:55:59.9522036Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9522041Z 2022-12-01T10:55:59.9522096Z from user code: 2022-12-01T10:55:59.9522371Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/resnet.py", line 123, in Bottleneck 2022-12-01T10:55:59.9522463Z class Bottleneck(nn.Module): 2022-12-01T10:55:59.9522468Z 2022-12-01T10:55:59.9522597Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9522657Z ========== 2022-12-01T10:55:59.9522997Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT VideoResNet /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/resnet.py line 197 2022-12-01T10:55:59.9523060Z due to: 2022-12-01T10:55:59.9523146Z Traceback (most recent call last): 2022-12-01T10:55:59.9523281Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9523358Z raise Unsupported(msg) 2022-12-01T10:55:59.9523480Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9523485Z 2022-12-01T10:55:59.9523551Z from user code: 2022-12-01T10:55:59.9523825Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/resnet.py", line 197, in VideoResNet 2022-12-01T10:55:59.9523913Z class VideoResNet(nn.Module): 2022-12-01T10:55:59.9523921Z 2022-12-01T10:55:59.9524049Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9524108Z ========== 2022-12-01T10:55:59.9524452Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TemporalSeparableConv /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/s3d.py line 22 2022-12-01T10:55:59.9524516Z due to: 2022-12-01T10:55:59.9524605Z Traceback (most recent call last): 2022-12-01T10:55:59.9524754Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9524836Z raise Unsupported(msg) 2022-12-01T10:55:59.9524956Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9524961Z 2022-12-01T10:55:59.9525027Z from user code: 2022-12-01T10:55:59.9525306Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/s3d.py", line 22, in TemporalSeparableConv 2022-12-01T10:55:59.9525425Z class TemporalSeparableConv(nn.Sequential): 2022-12-01T10:55:59.9525462Z 2022-12-01T10:55:59.9525590Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9525650Z ========== 2022-12-01T10:55:59.9526000Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT SepInceptionBlock3D /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/s3d.py line 54 2022-12-01T10:55:59.9526094Z due to: 2022-12-01T10:55:59.9526183Z Traceback (most recent call last): 2022-12-01T10:55:59.9526329Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9526397Z raise Unsupported(msg) 2022-12-01T10:55:59.9526519Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9526524Z 2022-12-01T10:55:59.9526590Z from user code: 2022-12-01T10:55:59.9527045Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/s3d.py", line 54, in SepInceptionBlock3D 2022-12-01T10:55:59.9527176Z class SepInceptionBlock3D(nn.Module): 2022-12-01T10:55:59.9527182Z 2022-12-01T10:55:59.9527312Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9527373Z ========== 2022-12-01T10:55:59.9527698Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT S3D /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/s3d.py line 92 2022-12-01T10:55:59.9527752Z due to: 2022-12-01T10:55:59.9527841Z Traceback (most recent call last): 2022-12-01T10:55:59.9527988Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9528073Z raise Unsupported(msg) 2022-12-01T10:55:59.9528194Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9528199Z 2022-12-01T10:55:59.9528265Z from user code: 2022-12-01T10:55:59.9528524Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/video/s3d.py", line 92, in S3D 2022-12-01T10:55:59.9528603Z class S3D(nn.Module): 2022-12-01T10:55:59.9528608Z 2022-12-01T10:55:59.9528725Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9528790Z ========== 2022-12-01T10:55:59.9528962Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:55:59.9529029Z ok (5.119s) 2022-12-01T10:55:59.9529228Z test_no_warning_on_import (__main__.TestImports) ... test_testing.py:1816: DeprecationWarning: Please use assertEqual instead. 2022-12-01T10:55:59.9529313Z self.assertEquals(out, "") 2022-12-01T10:55:59.9529377Z ok (0.864s) 2022-12-01T10:55:59.9529482Z test_sample_input (__main__.TestOpInfos) ... ok (0.004s) 2022-12-01T10:55:59.9529609Z test_sample_input_metadata (__main__.TestOpInfos) ... ok (0.003s) 2022-12-01T10:55:59.9529747Z test_default_names (__main__.TestTestParametrization) ... ok (0.004s) 2022-12-01T10:55:59.9529908Z test_modules_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.003s) 2022-12-01T10:55:59.9530074Z test_multiple_handling_of_same_param_error (__main__.TestTestParametrization) ... ok (0.003s) 2022-12-01T10:55:59.9530207Z test_name_fn (__main__.TestTestParametrization) ... ok (0.004s) 2022-12-01T10:55:59.9530357Z test_ops_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.003s) 2022-12-01T10:55:59.9530510Z test_subtest_expected_failure_x_1 (__main__.TestTestParametrization) ... ok (0.002s) 2022-12-01T10:55:59.9530675Z test_subtest_expected_failure_x_2 (__main__.TestTestParametrization) ... expected failure (0.004s) 2022-12-01T10:55:59.9530825Z test_subtest_expected_failure_x_3 (__main__.TestTestParametrization) ... ok (0.001s) 2022-12-01T10:55:59.9530961Z test_subtest_names (__main__.TestTestParametrization) ... ok (0.003s) 2022-12-01T10:55:59.9531147Z test_two_things_subtest_expected_failure_x_1_y_4 (__main__.TestTestParametrization) ... expected failure (0.003s) 2022-12-01T10:55:59.9531333Z test_two_things_subtest_expected_failure_x_1_y_5 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-12-01T10:55:59.9531574Z test_two_things_subtest_expected_failure_x_1_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-12-01T10:55:59.9531741Z test_two_things_subtest_expected_failure_x_2_y_4 (__main__.TestTestParametrization) ... ok (0.001s) 2022-12-01T10:55:59.9531902Z test_two_things_subtest_expected_failure_x_2_y_5 (__main__.TestTestParametrization) ... ok (0.001s) 2022-12-01T10:55:59.9532116Z test_two_things_subtest_expected_failure_x_2_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-12-01T10:55:59.9532271Z test_two_things_subtest_expected_failure_x_3_y_4 (__main__.TestTestParametrization) ... ok (0.001s) 2022-12-01T10:55:59.9532434Z test_two_things_subtest_expected_failure_x_3_y_5 (__main__.TestTestParametrization) ... ok (0.002s) 2022-12-01T10:55:59.9532617Z test_two_things_subtest_expected_failure_x_3_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-12-01T10:55:59.9532794Z test_default_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:55:59.9533211Z test_dtypes_composition_invalid_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestParametrized test_testing.py line 1721 2022-12-01T10:55:59.9533274Z due to: 2022-12-01T10:55:59.9533367Z Traceback (most recent call last): 2022-12-01T10:55:59.9533517Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9533586Z raise Unsupported(msg) 2022-12-01T10:55:59.9533705Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9533710Z 2022-12-01T10:55:59.9533780Z from user code: 2022-12-01T10:55:59.9533899Z File "test_testing.py", line 1721, in TestParametrized 2022-12-01T10:55:59.9533998Z class TestParametrized(TestCase): 2022-12-01T10:55:59.9534003Z 2022-12-01T10:55:59.9534134Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9534193Z ========== 2022-12-01T10:55:59.9534432Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestParametrized test_testing.py line 1732 2022-12-01T10:55:59.9534483Z due to: 2022-12-01T10:55:59.9534572Z Traceback (most recent call last): 2022-12-01T10:55:59.9534720Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9534799Z raise Unsupported(msg) 2022-12-01T10:55:59.9534919Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9534923Z 2022-12-01T10:55:59.9534992Z from user code: 2022-12-01T10:55:59.9535107Z File "test_testing.py", line 1732, in TestParametrized 2022-12-01T10:55:59.9535192Z class TestParametrized(TestCase): 2022-12-01T10:55:59.9535209Z 2022-12-01T10:55:59.9535325Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9535385Z ========== 2022-12-01T10:55:59.9535447Z ok (0.005s) 2022-12-01T10:55:59.9535853Z test_dtypes_composition_valid_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestParametrized test_testing.py line 1695 2022-12-01T10:55:59.9535914Z due to: 2022-12-01T10:55:59.9536004Z Traceback (most recent call last): 2022-12-01T10:55:59.9536153Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9536221Z raise Unsupported(msg) 2022-12-01T10:55:59.9536343Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9536347Z 2022-12-01T10:55:59.9536414Z from user code: 2022-12-01T10:55:59.9536531Z File "test_testing.py", line 1695, in TestParametrized 2022-12-01T10:55:59.9536627Z class TestParametrized(TestCase): 2022-12-01T10:55:59.9536632Z 2022-12-01T10:55:59.9536759Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9536820Z ========== 2022-12-01T10:55:59.9536881Z ok (0.004s) 2022-12-01T10:55:59.9537073Z test_multiple_handling_of_same_param_error_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:55:59.9537240Z test_name_fn_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:55:59.9537461Z test_ops_composition_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.575s) 2022-12-01T10:55:59.9537653Z test_subtest_expected_failure_x_1_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:55:59.9537890Z test_subtest_expected_failure_x_2_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-12-01T10:55:59.9538077Z test_subtest_expected_failure_x_3_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:55:59.9538247Z test_subtest_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:55:59.9538466Z test_two_things_subtest_expected_failure_x_1_y_4_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.003s) 2022-12-01T10:55:59.9538667Z test_two_things_subtest_expected_failure_x_1_y_5_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-12-01T10:55:59.9538879Z test_two_things_subtest_expected_failure_x_1_y_6_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-12-01T10:55:59.9539082Z test_two_things_subtest_expected_failure_x_2_y_4_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:55:59.9539280Z test_two_things_subtest_expected_failure_x_2_y_5_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:55:59.9539498Z test_two_things_subtest_expected_failure_x_2_y_6_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-12-01T10:55:59.9539700Z test_two_things_subtest_expected_failure_x_3_y_4_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:55:59.9539898Z test_two_things_subtest_expected_failure_x_3_y_5_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:55:59.9540115Z test_two_things_subtest_expected_failure_x_3_y_6_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-12-01T10:55:59.9540519Z test_unparametrized_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT TestParametrized test_testing.py line 1551 2022-12-01T10:55:59.9540584Z due to: 2022-12-01T10:55:59.9540666Z Traceback (most recent call last): 2022-12-01T10:55:59.9540812Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:55:59.9540893Z raise Unsupported(msg) 2022-12-01T10:55:59.9541013Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:55:59.9541018Z 2022-12-01T10:55:59.9541086Z from user code: 2022-12-01T10:55:59.9541202Z File "test_testing.py", line 1551, in TestParametrized 2022-12-01T10:55:59.9541297Z class TestParametrized(TestCase): 2022-12-01T10:55:59.9541302Z 2022-12-01T10:55:59.9541429Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:55:59.9541478Z ========== 2022-12-01T10:55:59.9541540Z ok (0.004s) 2022-12-01T10:55:59.9541681Z test_assertEqual_longMessage_cpu (__main__.TestTestingCPU) ... ok (0.005s) 2022-12-01T10:55:59.9541818Z test_assertEqual_numpy_cpu_bool (__main__.TestTestingCPU) ... ok (0.005s) 2022-12-01T10:55:59.9541962Z test_assertEqual_numpy_cpu_complex128 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9542104Z test_assertEqual_numpy_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9542243Z test_assertEqual_numpy_cpu_float16 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9542368Z test_assertEqual_numpy_cpu_float32 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9542504Z test_assertEqual_numpy_cpu_float64 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9542637Z test_assertEqual_numpy_cpu_int16 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9542773Z test_assertEqual_numpy_cpu_int32 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9542906Z test_assertEqual_numpy_cpu_int64 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9543069Z test_assertEqual_numpy_cpu_int8 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9543200Z test_assertEqual_numpy_cpu_uint8 (__main__.TestTestingCPU) ... ok (0.003s) 2022-12-01T10:55:59.9543396Z test_cuda_assert_should_not_stop_common_distributed_test_suite_cpu (__main__.TestTestingCPU) ... skip: Only runs on cuda (0.003s) 2022-12-01T10:55:59.9543650Z test_cuda_assert_should_stop_common_device_type_test_suite_cpu (__main__.TestTestingCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:59.9543822Z test_cuda_assert_should_stop_common_utils_test_suite_cpu (__main__.TestTestingCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:55:59.9544098Z test_get_supported_dtypes_cpu (__main__.TestTestingCPU) ... skip: test doesn't currently work with torchdynamo (0.001s) 2022-12-01T10:55:59.9544253Z test_isclose_atol_rtol_greater_than_zero_cpu_bool (__main__.TestTestingCPU) ... ok (0.017s) 2022-12-01T10:55:59.9544411Z test_isclose_atol_rtol_greater_than_zero_cpu_float16 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9544566Z test_isclose_atol_rtol_greater_than_zero_cpu_float32 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9544720Z test_isclose_atol_rtol_greater_than_zero_cpu_float64 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9544879Z test_isclose_atol_rtol_greater_than_zero_cpu_int16 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9545030Z test_isclose_atol_rtol_greater_than_zero_cpu_int32 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9545182Z test_isclose_atol_rtol_greater_than_zero_cpu_int64 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9545321Z test_isclose_atol_rtol_greater_than_zero_cpu_int8 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9545471Z test_isclose_atol_rtol_greater_than_zero_cpu_uint8 (__main__.TestTestingCPU) ... ok (0.008s) 2022-12-01T10:55:59.9545593Z test_isclose_bool_cpu (__main__.TestTestingCPU) ... ok (0.022s) 2022-12-01T10:55:59.9545733Z test_isclose_complex_cpu_complex128 (__main__.TestTestingCPU) ... ok (2.571s) 2022-12-01T10:55:59.9545871Z test_isclose_complex_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.082s) 2022-12-01T10:55:59.9546009Z test_isclose_equality_shortcut_cpu (__main__.TestTestingCPU) ... ok (0.008s) 2022-12-01T10:55:59.9546141Z test_isclose_float_cpu_float16 (__main__.TestTestingCPU) ... ok (0.085s) 2022-12-01T10:55:59.9546271Z test_isclose_float_cpu_float32 (__main__.TestTestingCPU) ... ok (0.041s) 2022-12-01T10:55:59.9546386Z test_isclose_float_cpu_float64 (__main__.TestTestingCPU) ... ok (0.041s) 2022-12-01T10:55:59.9546513Z test_isclose_integer_cpu_int16 (__main__.TestTestingCPU) ... ok (0.039s) 2022-12-01T10:55:59.9546641Z test_isclose_integer_cpu_int32 (__main__.TestTestingCPU) ... ok (0.034s) 2022-12-01T10:55:59.9546769Z test_isclose_integer_cpu_int64 (__main__.TestTestingCPU) ... ok (0.034s) 2022-12-01T10:55:59.9546896Z test_isclose_integer_cpu_int8 (__main__.TestTestingCPU) ... ok (0.034s) 2022-12-01T10:55:59.9547025Z test_isclose_integer_cpu_uint8 (__main__.TestTestingCPU) ... ok (0.034s) 2022-12-01T10:55:59.9547182Z test_isclose_nan_equality_shortcut_cpu_complex128 (__main__.TestTestingCPU) ... ok (0.015s) 2022-12-01T10:55:59.9547337Z test_isclose_nan_equality_shortcut_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.008s) 2022-12-01T10:55:59.9547475Z test_isclose_nan_equality_shortcut_cpu_float16 (__main__.TestTestingCPU) ... ok (0.009s) 2022-12-01T10:55:59.9547621Z test_isclose_nan_equality_shortcut_cpu_float32 (__main__.TestTestingCPU) ... ok (0.009s) 2022-12-01T10:55:59.9547760Z test_isclose_nan_equality_shortcut_cpu_float64 (__main__.TestTestingCPU) ... ok (0.009s) 2022-12-01T10:55:59.9548348Z test_make_tensor_complex32_cpu (__main__.TestTestingCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py:142: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-12-01T10:55:59.9548478Z result = torch.complex(real, imag) 2022-12-01T10:55:59.9548544Z ok (0.008s) 2022-12-01T10:55:59.9548672Z test_make_tensor_cpu_bool (__main__.TestTestingCPU) ... ok (0.087s) 2022-12-01T10:55:59.9548846Z test_make_tensor_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.009s) 2022-12-01T10:55:59.9548972Z test_make_tensor_cpu_float32 (__main__.TestTestingCPU) ... ok (0.008s) 2022-12-01T10:55:59.9549087Z test_make_tensor_cpu_int64 (__main__.TestTestingCPU) ... ok (0.007s) 2022-12-01T10:55:59.9549092Z 2022-12-01T10:55:59.9549288Z ---------------------------------------------------------------------- 2022-12-01T10:55:59.9549365Z Ran 167 tests in 21.097s 2022-12-01T10:55:59.9549370Z 2022-12-01T10:55:59.9549462Z OK (skipped=4, expected failures=12) 2022-12-01T10:55:59.9549467Z 2022-12-01T10:55:59.9549550Z Generating XML reports... 2022-12-01T10:55:59.9549831Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertClose-20221201105538.xml 2022-12-01T10:55:59.9550142Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseContainer-20221201105538.xml 2022-12-01T10:55:59.9550456Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseErrorMessage-20221201105538.xml 2022-12-01T10:55:59.9550754Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseQuantized-20221201105538.xml 2022-12-01T10:55:59.9551056Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSC-20221201105538.xml 2022-12-01T10:55:59.9551354Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSR-20221201105538.xml 2022-12-01T10:55:59.9551654Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCOO-20221201105538.xml 2022-12-01T10:55:59.9551948Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSC-20221201105538.xml 2022-12-01T10:55:59.9552246Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSR-20221201105538.xml 2022-12-01T10:55:59.9552525Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestFrameworkUtils-20221201105538.xml 2022-12-01T10:55:59.9552785Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestImports-20221201105538.xml 2022-12-01T10:55:59.9553038Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestOpInfos-20221201105538.xml 2022-12-01T10:55:59.9553334Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestParametrization-20221201105538.xml 2022-12-01T10:55:59.9553668Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestParametrizationDeviceTypeCPU-20221201105538.xml 2022-12-01T10:55:59.9553938Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestingCPU-20221201105538.xml 2022-12-01T10:55:59.9553943Z 2022-12-01T10:55:59.9554271Z ##[endgroup] 2022-12-01T10:55:59.9554544Z FINISHED PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing_c4h9z544) 2022-12-01T10:55:59.9554549Z 2022-12-01T10:55:59.9554712Z Running nn/test_embedding ... [2022-12-01 10:55:59.874954] 2022-12-01T10:55:59.9555048Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_embedding.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:55:59.875261] 2022-12-01T10:56:16.8909101Z 2022-12-01T10:56:16.8909735Z Expand the folded group to see the log file of nn/test_embedding 2022-12-01T10:56:16.8910681Z ##[group]PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_9dci7pae) 2022-12-01T10:56:16.8911512Z Test results will be stored in test-reports/python-unittest/nn.test_embedding 2022-12-01T10:56:16.8911779Z 2022-12-01T10:56:16.8911887Z Running tests... 2022-12-01T10:56:16.8912356Z ---------------------------------------------------------------------- 2022-12-01T10:56:16.8913098Z test_embedding_bag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.122s) 2022-12-01T10:56:16.8913598Z test_embedding_bag_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.011s) 2022-12-01T10:56:16.8914729Z test_embedding_bag_functional (__main__.TestEmbeddingNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 167 2022-12-01T10:56:16.8916904Z due to: 2022-12-01T10:56:16.8917261Z Traceback (most recent call last): 2022-12-01T10:56:16.8917700Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:56:16.8918176Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:56:16.8918845Z AttributeError: 'classmethod' object has no attribute '__code__' 2022-12-01T10:56:16.8919014Z 2022-12-01T10:56:16.8919099Z from user code: 2022-12-01T10:56:16.8919443Z File "nn/test_embedding.py", line 168, in 2022-12-01T10:56:16.8919759Z embed_old = embed_old.from_pretrained(embeddings, padding_idx=2) 2022-12-01T10:56:16.8919979Z 2022-12-01T10:56:16.8920114Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8920342Z ========== 2022-12-01T10:56:16.8920499Z ok (0.032s) 2022-12-01T10:56:16.8920834Z test_embedding_bag_padding_idx_error (__main__.TestEmbeddingNN) ... ok (0.021s) 2022-12-01T10:56:16.8921228Z test_embedding_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.021s) 2022-12-01T10:56:16.8921832Z test_embedding_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.009s) 2022-12-01T10:56:16.8922348Z test_embedding_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.016s) 2022-12-01T10:56:16.8923344Z test_embedding_functional (__main__.TestEmbeddingNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 146 2022-12-01T10:56:16.8923902Z due to: 2022-12-01T10:56:16.8924258Z Traceback (most recent call last): 2022-12-01T10:56:16.8924698Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/nn_module.py", line 479, in call_method 2022-12-01T10:56:16.8925253Z if id(method.__code__) in self._nn_module_method_ids(): 2022-12-01T10:56:16.8925864Z AttributeError: 'classmethod' object has no attribute '__code__' 2022-12-01T10:56:16.8926029Z 2022-12-01T10:56:16.8926087Z from user code: 2022-12-01T10:56:16.8926412Z File "nn/test_embedding.py", line 147, in 2022-12-01T10:56:16.8927266Z embed_old = embed_old.from_pretrained(embeddings, padding_idx=2) 2022-12-01T10:56:16.8927585Z 2022-12-01T10:56:16.8927806Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8928016Z ========== 2022-12-01T10:56:16.8928174Z ok (0.034s) 2022-12-01T10:56:16.8928398Z test_embedding_max_norm (__main__.TestEmbeddingNN) ... ok (0.026s) 2022-12-01T10:56:16.8928729Z test_embedding_max_norm_unsorted_repeating_indices (__main__.TestEmbeddingNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:56:16.8929085Z test_embedding_sparse_basic (__main__.TestEmbeddingNN) ... ok (0.027s) 2022-12-01T10:56:16.8929667Z test_embedding_sparse_empty_tensor (__main__.TestEmbeddingNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 54 2022-12-01T10:56:16.8930019Z due to: 2022-12-01T10:56:16.8930191Z Traceback (most recent call last): 2022-12-01T10:56:16.8930477Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 232, in call_function 2022-12-01T10:56:16.8930763Z if isinstance(x.value, numpy.generic): 2022-12-01T10:56:16.8931077Z AttributeError: 'ListVariable' object has no attribute 'value' 2022-12-01T10:56:16.8931223Z 2022-12-01T10:56:16.8931297Z from user code: 2022-12-01T10:56:16.8931556Z File "nn/test_embedding.py", line 55, in 2022-12-01T10:56:16.8932005Z input = torch.LongTensor([[0, 2, 4, 5], [4, 3, 0, 9]]) 2022-12-01T10:56:16.8932150Z 2022-12-01T10:56:16.8932270Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8932487Z ========== 2022-12-01T10:56:16.8932716Z ok (0.098s) 2022-12-01T10:56:16.8933223Z test_embeddingbag_from_pretrained (__main__.TestEmbeddingNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 200 2022-12-01T10:56:16.8933574Z due to: 2022-12-01T10:56:16.8933755Z Traceback (most recent call last): 2022-12-01T10:56:16.8934042Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/torch.py", line 232, in call_function 2022-12-01T10:56:16.8934315Z if isinstance(x.value, numpy.generic): 2022-12-01T10:56:16.8934630Z AttributeError: 'ListVariable' object has no attribute 'value' 2022-12-01T10:56:16.8934789Z 2022-12-01T10:56:16.8934860Z from user code: 2022-12-01T10:56:16.8935108Z File "nn/test_embedding.py", line 202, in 2022-12-01T10:56:16.8935390Z input = torch.LongTensor([[0, 1]]) 2022-12-01T10:56:16.8935524Z 2022-12-01T10:56:16.8935655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8935863Z ========== 2022-12-01T10:56:16.8936019Z ok (0.014s) 2022-12-01T10:56:16.8936267Z test_embeddingbag_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.009s) 2022-12-01T10:56:16.8936843Z test_move_sparse_half_embedding (__main__.TestEmbeddingNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 62 2022-12-01T10:56:16.8937173Z due to: 2022-12-01T10:56:16.8937354Z Traceback (most recent call last): 2022-12-01T10:56:16.8937632Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:16.8939672Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:16.8940415Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:56:16.8940686Z 2022-12-01T10:56:16.8940770Z from user code: 2022-12-01T10:56:16.8941036Z File "nn/test_embedding.py", line 63, in 2022-12-01T10:56:16.8941376Z self.assertEqual(embedding.weight.dtype, torch.get_default_dtype()) 2022-12-01T10:56:16.8941591Z 2022-12-01T10:56:16.8941726Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8941947Z ========== 2022-12-01T10:56:16.8942103Z ok (0.016s) 2022-12-01T10:56:16.8942743Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 790 2022-12-01T10:56:16.8943254Z due to: 2022-12-01T10:56:16.8943445Z Traceback (most recent call last): 2022-12-01T10:56:16.8943780Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:56:16.8944073Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:56:16.8944332Z AssertionError: unsafe constant torch.float16 2022-12-01T10:56:16.8944525Z 2022-12-01T10:56:16.8944597Z from user code: 2022-12-01T10:56:16.8944833Z File "nn/test_embedding.py", line 792, in 2022-12-01T10:56:16.8945155Z self.assertEqual(result, expected, atol=dtype2prec_DONTUSE[dtypes[2]], rtol=0) 2022-12-01T10:56:16.8945378Z 2022-12-01T10:56:16.8945510Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8945729Z ========== 2022-12-01T10:56:16.8945873Z ok (0.136s) 2022-12-01T10:56:16.8946238Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.104s) 2022-12-01T10:56:16.8946819Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.103s) 2022-12-01T10:56:16.8947254Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.103s) 2022-12-01T10:56:16.8947806Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8948276Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8948718Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8958459Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8959254Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8960001Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8960763Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8961464Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8962455Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 870 2022-12-01T10:56:16.8962948Z due to: 2022-12-01T10:56:16.8963171Z Traceback (most recent call last): 2022-12-01T10:56:16.8963642Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:56:16.8964172Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:56:16.8964625Z AssertionError: unsafe constant torch.float16 2022-12-01T10:56:16.8964887Z 2022-12-01T10:56:16.8965023Z from user code: 2022-12-01T10:56:16.8965506Z File "nn/test_embedding.py", line 872, in 2022-12-01T10:56:16.8966077Z self.assertEqual(result, expected, atol=dtype2prec_DONTUSE[dtypes[2]], rtol=0) 2022-12-01T10:56:16.8966406Z 2022-12-01T10:56:16.8966650Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8967236Z ========== 2022-12-01T10:56:16.8967385Z ok (0.302s) 2022-12-01T10:56:16.8967702Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.032s) 2022-12-01T10:56:16.8968313Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:56:16.8969063Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:56:16.8969755Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:56:16.8970494Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.030s) 2022-12-01T10:56:16.8971294Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:56:16.8972085Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:56:16.8972813Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.016s) 2022-12-01T10:56:16.8973694Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8974395Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8974914Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:56:16.8975698Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 905 2022-12-01T10:56:16.8976094Z due to: 2022-12-01T10:56:16.8976280Z Traceback (most recent call last): 2022-12-01T10:56:16.8976562Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:56:16.8976851Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:56:16.8977149Z AssertionError: unsafe constant torch.float32 2022-12-01T10:56:16.8977294Z 2022-12-01T10:56:16.8977364Z from user code: 2022-12-01T10:56:16.8977621Z File "nn/test_embedding.py", line 935, in 2022-12-01T10:56:16.8977940Z self.assertEqual(output, ref_output, atol=dtype2prec_DONTUSE[wdtype], rtol=0) 2022-12-01T10:56:16.8978119Z 2022-12-01T10:56:16.8978251Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8978467Z ========== 2022-12-01T10:56:16.8978613Z ok (0.177s) 2022-12-01T10:56:16.8978918Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.056s) 2022-12-01T10:56:16.8979342Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:56:16.8979755Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:56:16.8980446Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 827 2022-12-01T10:56:16.8980843Z due to: 2022-12-01T10:56:16.8981026Z Traceback (most recent call last): 2022-12-01T10:56:16.8981376Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:56:16.8981678Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:56:16.8981927Z AssertionError: unsafe constant torch.float16 2022-12-01T10:56:16.8982068Z 2022-12-01T10:56:16.8982140Z from user code: 2022-12-01T10:56:16.8982389Z File "nn/test_embedding.py", line 829, in 2022-12-01T10:56:16.8982711Z self.assertEqual(result, expected, atol=dtype2prec_DONTUSE[dtypes[2]], rtol=0) 2022-12-01T10:56:16.8982877Z 2022-12-01T10:56:16.8983011Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8983228Z ========== 2022-12-01T10:56:16.8983383Z ok (0.103s) 2022-12-01T10:56:16.8983674Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.069s) 2022-12-01T10:56:16.8984107Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.069s) 2022-12-01T10:56:16.8984538Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.081s) 2022-12-01T10:56:16.8984963Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:56:16.8985371Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8985838Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8986267Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.8986740Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8987147Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8987569Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8987990Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:56:16.8988407Z test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.053s) 2022-12-01T10:56:16.8988807Z test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:56:16.8989214Z test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:56:16.8989625Z test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:56:16.8990007Z test_embedding_backward_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.230s) 2022-12-01T10:56:16.8990605Z test_embedding_bag_1D_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT gen_1D_indices_offsets nn/test_embedding.py line 395 2022-12-01T10:56:16.8990960Z due to: 2022-12-01T10:56:16.8991143Z Traceback (most recent call last): 2022-12-01T10:56:16.8991413Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:56:16.8991700Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:56:16.8992255Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:56:16.8992553Z 2022-12-01T10:56:16.8992689Z The above exception was the direct cause of the following exception: 2022-12-01T10:56:16.8992854Z 2022-12-01T10:56:16.8992932Z Traceback (most recent call last): 2022-12-01T10:56:16.8993209Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:56:16.8993481Z raise TorchRuntimeError() from e 2022-12-01T10:56:16.8993700Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:56:16.8993842Z 2022-12-01T10:56:16.8993912Z from user code: 2022-12-01T10:56:16.8994138Z File "nn/test_embedding.py", line 420, in gen_1D_indices_offsets 2022-12-01T10:56:16.8994398Z indices = torch.tensor(indices, device=device) 2022-12-01T10:56:16.8994530Z 2022-12-01T10:56:16.8994662Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.8994878Z ========== 2022-12-01T10:56:16.8995037Z ok (3.326s) 2022-12-01T10:56:16.8995303Z test_embedding_bag_1D_padding_idx_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.628s) 2022-12-01T10:56:16.8995688Z test_embedding_bag_2D_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.188s) 2022-12-01T10:56:16.8996063Z test_embedding_bag_2D_padding_idx_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.058s) 2022-12-01T10:56:16.8996454Z test_embedding_bag_bfloat16_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:56:16.8996848Z test_embedding_bag_bfloat16_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:56:16.8997284Z test_embedding_bag_bfloat16_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:56:16.8997683Z test_embedding_bag_bfloat16_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:56:16.8998363Z test_embedding_bag_device_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 1064 2022-12-01T10:56:16.8998719Z due to: 2022-12-01T10:56:16.8998904Z Traceback (most recent call last): 2022-12-01T10:56:16.8999183Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:56:16.8999470Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:56:16.8999723Z AssertionError: unsafe constant torch.float16 2022-12-01T10:56:16.8999865Z 2022-12-01T10:56:16.8999934Z from user code: 2022-12-01T10:56:16.9000164Z File "nn/test_embedding.py", line 1064, in 2022-12-01T10:56:16.9000453Z self.assertEqual(output, expected_output_with_empty) 2022-12-01T10:56:16.9000607Z 2022-12-01T10:56:16.9000735Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.9000952Z ========== 2022-12-01T10:56:16.9001261Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 1101 2022-12-01T10:56:16.9001508Z due to: 2022-12-01T10:56:16.9001690Z Traceback (most recent call last): 2022-12-01T10:56:16.9002048Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2348, in embedding_bag 2022-12-01T10:56:16.9002333Z "offsets of type {}".format(type_str) 2022-12-01T10:56:16.9002865Z ValueError: if input is 2D, then offsets has to be None, as input is treated is a mini-batch of fixed length sequences. However, found offsets of type 2022-12-01T10:56:16.9003155Z 2022-12-01T10:56:16.9003224Z from user code: 2022-12-01T10:56:16.9003426Z File "nn/test_embedding.py", line 1101, in 2022-12-01T10:56:16.9003690Z self.assertRaises(ValueError, lambda: es(input, offset)) 2022-12-01T10:56:16.9003846Z 2022-12-01T10:56:16.9003978Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.9004184Z ========== 2022-12-01T10:56:16.9004506Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_embedding.py line 1102 2022-12-01T10:56:16.9004754Z due to: 2022-12-01T10:56:16.9004921Z Traceback (most recent call last): 2022-12-01T10:56:16.9005288Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 2357, in embedding_bag 2022-12-01T10:56:16.9005605Z raise ValueError("offsets has to be a 1D Tensor but got None") 2022-12-01T10:56:16.9005871Z ValueError: offsets has to be a 1D Tensor but got None 2022-12-01T10:56:16.9006002Z 2022-12-01T10:56:16.9006072Z from user code: 2022-12-01T10:56:16.9006283Z File "nn/test_embedding.py", line 1102, in 2022-12-01T10:56:16.9006603Z self.assertRaises(ValueError, lambda: es(input.view(-1))) 2022-12-01T10:56:16.9006851Z 2022-12-01T10:56:16.9007105Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.9007337Z ========== 2022-12-01T10:56:16.9007500Z ok (1.257s) 2022-12-01T10:56:16.9007772Z test_embedding_bag_device_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.264s) 2022-12-01T10:56:16.9008160Z test_embedding_bag_device_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.186s) 2022-12-01T10:56:16.9008543Z test_embedding_bag_device_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.210s) 2022-12-01T10:56:16.9008923Z test_embedding_bag_device_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.161s) 2022-12-01T10:56:16.9009282Z test_embedding_bag_device_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.163s) 2022-12-01T10:56:16.9009765Z test_embedding_bag_device_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.161s) 2022-12-01T10:56:16.9010146Z test_embedding_bag_device_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.160s) 2022-12-01T10:56:16.9010513Z test_embedding_bag_device_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.161s) 2022-12-01T10:56:16.9010911Z test_embedding_bag_device_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.160s) 2022-12-01T10:56:16.9011290Z test_embedding_bag_device_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.159s) 2022-12-01T10:56:16.9011667Z test_embedding_bag_device_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.161s) 2022-12-01T10:56:16.9012026Z test_embedding_bag_empty_input_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:56:16.9012405Z test_embedding_bag_empty_input_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:56:16.9012883Z test_embedding_bag_empty_input_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:56:16.9013259Z test_embedding_bag_empty_input_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:56:16.9013870Z test_embedding_bag_half_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_embedding_bag_half nn/test_embedding.py line 1182 2022-12-01T10:56:16.9014220Z due to: 2022-12-01T10:56:16.9014405Z Traceback (most recent call last): 2022-12-01T10:56:16.9014701Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:56:16.9015000Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:56:16.9015229Z AssertionError: dtype 2022-12-01T10:56:16.9015346Z 2022-12-01T10:56:16.9015422Z from user code: 2022-12-01T10:56:16.9015642Z File "nn/test_embedding.py", line 1185, in test_embedding_bag_half 2022-12-01T10:56:16.9016080Z self._test_EmbeddingBag(device, 'sum', True, wdtype=torch.float16, dtype=dtypes[0], odtype=dtypes[1], test_backward=True) 2022-12-01T10:56:16.9016291Z 2022-12-01T10:56:16.9016422Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.9016641Z ========== 2022-12-01T10:56:16.9016786Z ok (0.039s) 2022-12-01T10:56:16.9017053Z test_embedding_bag_half_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.038s) 2022-12-01T10:56:16.9017413Z test_embedding_bag_half_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:56:16.9017838Z test_embedding_bag_half_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.037s) 2022-12-01T10:56:16.9018225Z test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:56:16.9018676Z test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.9019107Z test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.9019560Z test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.9019965Z test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.9020351Z test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.9020755Z test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.9021156Z test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:56:16.9021549Z test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:56:16.9021975Z test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:56:16.9022382Z test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:56:16.9022812Z test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:56:16.9023357Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:56:16.9023911Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:56:16.9024574Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.021s) 2022-12-01T10:56:16.9025210Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:56:16.9025850Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:56:16.9026444Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-12-01T10:56:16.9027035Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:56:16.9027620Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s) 2022-12-01T10:56:16.9028326Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:56:16.9029078Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:56:16.9029753Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:56:16.9030415Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:56:16.9031151Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:56:16.9031923Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:56:16.9032701Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:56:16.9033502Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-12-01T10:56:16.9034291Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:56:16.9035078Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:56:16.9035874Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:56:16.9036676Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.011s) 2022-12-01T10:56:16.9037464Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:56:16.9038358Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s) 2022-12-01T10:56:16.9039168Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:56:16.9040011Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:56:16.9040724Z test_embedding_dense_grad_cpu (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.794s) 2022-12-01T10:56:16.9041377Z test_embedding_max_norm_backward_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:56:16.9042095Z test_embedding_max_norm_device_cpu_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:56:16.9042851Z test_embedding_max_norm_device_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:56:16.9043612Z test_embedding_max_norm_device_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:56:16.9044817Z test_embedding_max_norm_fwd_AD_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_embedding_max_norm_fwd_AD nn/test_embedding.py line 299 2022-12-01T10:56:16.9045474Z due to: 2022-12-01T10:56:16.9045800Z Traceback (most recent call last): 2022-12-01T10:56:16.9046279Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:16.9047244Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:16.9048137Z AssertionError: torch.* op returned non-Tensor dual_level call_function 2022-12-01T10:56:16.9048543Z 2022-12-01T10:56:16.9048672Z from user code: 2022-12-01T10:56:16.9049089Z File "nn/test_embedding.py", line 310, in test_embedding_max_norm_fwd_AD 2022-12-01T10:56:16.9049582Z with torch.autograd.forward_ad.dual_level(): 2022-12-01T10:56:16.9049849Z 2022-12-01T10:56:16.9050088Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:16.9050463Z ========== 2022-12-01T10:56:16.9050741Z ok (0.055s) 2022-12-01T10:56:16.9051242Z test_embedding_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (3.470s) 2022-12-01T10:56:16.9051921Z test_embedding_scalar_weight_error_cpu (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:56:16.9052275Z 2022-12-01T10:56:16.9052632Z ---------------------------------------------------------------------- 2022-12-01T10:56:16.9053059Z Ran 132 tests in 15.235s 2022-12-01T10:56:16.9053264Z 2022-12-01T10:56:16.9053383Z OK (skipped=8) 2022-12-01T10:56:16.9053577Z 2022-12-01T10:56:16.9053702Z Generating XML reports... 2022-12-01T10:56:16.9054449Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNN-20221201105601.xml 2022-12-01T10:56:16.9055489Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNNDeviceTypeCPU-20221201105601.xml 2022-12-01T10:56:16.9055967Z 2022-12-01T10:56:16.9056467Z ##[endgroup] 2022-12-01T10:56:16.9057165Z FINISHED PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_9dci7pae) 2022-12-01T10:56:16.9057568Z 2022-12-01T10:56:16.9057875Z Running test_jit_autocast ... [2022-12-01 10:56:16.891814] 2022-12-01T10:56:16.9058732Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_autocast.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:56:16.892242] 2022-12-01T10:56:31.4164670Z 2022-12-01T10:56:31.4165954Z Expand the folded group to see the log file of test_jit_autocast 2022-12-01T10:56:31.4167595Z ##[group]PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_grcj3820) 2022-12-01T10:56:31.4168514Z Test results will be stored in test-reports/python-unittest/test_jit_autocast 2022-12-01T10:56:31.4169111Z CUDA not available, skipping tests 2022-12-01T10:56:31.4169622Z monkeytype is not installed. Skipping tests for Profile-Directed Typing 2022-12-01T10:56:31.4169802Z 2022-12-01T10:56:31.4169876Z Running tests... 2022-12-01T10:56:31.4170309Z ---------------------------------------------------------------------- 2022-12-01T10:56:31.4170593Z test_autocast_api (__main__.TestAutocast) ... skip: No cuda (0.005s) 2022-12-01T10:56:31.4170986Z test_autocast_api_not_supported (__main__.TestAutocast) ... skip: we need to provide dtype argument at this moment (0.001s) 2022-12-01T10:56:31.4171344Z test_autocast_autodiff (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4171876Z test_autocast_decorator (__main__.TestAutocast) ... skip: autocast decorators not supported (0.000s) 2022-12-01T10:56:31.4172258Z test_autocast_decorator_outside_jit (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4172663Z test_autocast_mixed_dtypes (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4172962Z test_callees (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4173239Z test_callees_with_autocast_off (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4173601Z test_callees_with_autocast_on (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4173906Z test_conditional_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4174284Z test_control_flow (__main__.TestAutocast) ... skip: broken due to lack of type propagation (0.001s) 2022-12-01T10:56:31.4174624Z test_divergent_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4175014Z test_divergent_types (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4175307Z test_duplicate_inputs (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4175585Z test_eager_and_script (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4175922Z test_explicit_casts (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4176204Z test_fp32_policy (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4176537Z test_fp32_policy_with_fp64 (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4176828Z test_fp32_set_opt_dtype_policy (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4177146Z test_fp32_set_opt_dtype_policy_fp64 (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4177668Z test_ignore_amp (__main__.TestAutocast) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT setUp test_jit_autocast.py line 17 2022-12-01T10:56:31.4177990Z due to: 2022-12-01T10:56:31.4178178Z Traceback (most recent call last): 2022-12-01T10:56:31.4178458Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4178948Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4179506Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:56:31.4179749Z 2022-12-01T10:56:31.4179827Z from user code: 2022-12-01T10:56:31.4180040Z File "test_jit_autocast.py", line 28, in setUp 2022-12-01T10:56:31.4180321Z self.old_value = torch._C._jit_set_autocast_mode(True) 2022-12-01T10:56:31.4180478Z 2022-12-01T10:56:31.4180609Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4180831Z ========== 2022-12-01T10:56:31.4181250Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 746 2022-12-01T10:56:31.4181508Z due to: 2022-12-01T10:56:31.4181703Z Traceback (most recent call last): 2022-12-01T10:56:31.4182019Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4182446Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4183039Z AssertionError: torch.* op returned non-Tensor autocast call_function 2022-12-01T10:56:31.4183313Z 2022-12-01T10:56:31.4183427Z from user code: 2022-12-01T10:56:31.4183672Z File "test_jit_autocast.py", line 747, in 2022-12-01T10:56:31.4183915Z with torch.cpu.amp.autocast(): 2022-12-01T10:56:31.4184097Z 2022-12-01T10:56:31.4184232Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4184456Z ========== 2022-12-01T10:56:31.4184809Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tearDown test_jit_autocast.py line 31 2022-12-01T10:56:31.4185068Z due to: 2022-12-01T10:56:31.4185250Z Traceback (most recent call last): 2022-12-01T10:56:31.4185545Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4185981Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4186549Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:56:31.4186790Z 2022-12-01T10:56:31.4186861Z from user code: 2022-12-01T10:56:31.4187110Z File "test_jit_autocast.py", line 32, in tearDown 2022-12-01T10:56:31.4187356Z torch._C._jit_set_autocast_mode(self.old_value) 2022-12-01T10:56:31.4187497Z 2022-12-01T10:56:31.4187627Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4187895Z ========== 2022-12-01T10:56:31.4188199Z Exception ignored in: .extract_files.. at 0x7f8e417afb50> 2022-12-01T10:56:31.4188521Z Traceback (most recent call last): 2022-12-01T10:56:31.4188957Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 210, in 2022-12-01T10:56:31.4189291Z debug_files = (pickle.load(f) for f in debug_files_stream) 2022-12-01T10:56:31.4189577Z SystemError: error return without exception set 2022-12-01T10:56:31.4189922Z Exception ignored in: .extract_files.. at 0x7f8e417af9d0> 2022-12-01T10:56:31.4190286Z Traceback (most recent call last): 2022-12-01T10:56:31.4190669Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 209, in 2022-12-01T10:56:31.4191032Z debug_files_stream = (archive.open(f) for f in debug_files_str) 2022-12-01T10:56:31.4191296Z SystemError: error return without exception set 2022-12-01T10:56:31.4191499Z ok (0.593s) 2022-12-01T10:56:31.4191773Z test_implicitly_nested_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4192065Z test_inplace (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4192370Z test_jit_autocast_softmax_cpu (__main__.TestAutocast) ... ok (0.079s) 2022-12-01T10:56:31.4192670Z test_jit_autocast_softmax_gpu (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4192983Z test_jit_call_method_under_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4193348Z test_jit_executor_under_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4193659Z test_jit_freeze_autocast_basic (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4194000Z test_jit_freeze_autocast_constants (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4194314Z test_linear_bf16 (__main__.TestAutocast) ... skip: No cuda bfloat16 support (0.001s) 2022-12-01T10:56:31.4194614Z test_minimal (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4194904Z test_minimal_cpu (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4195180Z test_minimal_off (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4195553Z test_nested_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4195845Z test_promote_policy (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4196144Z test_promote_policy_fp64 (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4196492Z test_reused_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4196811Z test_reused_autocast_expr (__main__.TestAutocast) ... skip: unsuported autocast syntax (0.001s) 2022-12-01T10:56:31.4197175Z test_runtime_autocast_state (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4197479Z test_runtime_autocast_state_expr (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-12-01T10:56:31.4197827Z test_script_and_tracing (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4198183Z test_script_and_tracing_with_autocast (__main__.TestAutocast) ... skip: autocast(False) is ignored inside traced functions (0.001s) 2022-12-01T10:56:31.4198560Z test_script_module (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4198849Z test_tracing_and_script (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4199259Z test_tracing_with_autocast_and_script (__main__.TestAutocast) ... skip: scripted called from traced TorchScript is not yet working (0.001s) 2022-12-01T10:56:31.4199873Z test_generate_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 765 2022-12-01T10:56:31.4200237Z due to: 2022-12-01T10:56:31.4200422Z Traceback (most recent call last): 2022-12-01T10:56:31.4200700Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4201165Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4201616Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:56:31.4201821Z 2022-12-01T10:56:31.4201894Z from user code: 2022-12-01T10:56:31.4202122Z File "test_jit_autocast.py", line 766, in 2022-12-01T10:56:31.4202437Z self.previous_default_dtype = torch.get_default_dtype() 2022-12-01T10:56:31.4202591Z 2022-12-01T10:56:31.4202724Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4202943Z ========== 2022-12-01T10:56:31.4203329Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 783 2022-12-01T10:56:31.4203618Z due to: 2022-12-01T10:56:31.4203802Z Traceback (most recent call last): 2022-12-01T10:56:31.4204065Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4204538Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4205022Z AssertionError: torch.* op returned non-Tensor autocast call_function 2022-12-01T10:56:31.4205247Z 2022-12-01T10:56:31.4205316Z from user code: 2022-12-01T10:56:31.4205567Z File "test_jit_autocast.py", line 784, in 2022-12-01T10:56:31.4205888Z with torch.cpu.amp.autocast(cache_enabled=False), torch.no_grad(): 2022-12-01T10:56:31.4206056Z 2022-12-01T10:56:31.4206188Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4206394Z ========== 2022-12-01T10:56:31.4206791Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tearDown test_jit_autocast.py line 776 2022-12-01T10:56:31.4207201Z due to: 2022-12-01T10:56:31.4207388Z Traceback (most recent call last): 2022-12-01T10:56:31.4207656Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4208090Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4208758Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:56:31.4209003Z 2022-12-01T10:56:31.4209061Z from user code: 2022-12-01T10:56:31.4209322Z File "test_jit_autocast.py", line 777, in tearDown 2022-12-01T10:56:31.4209594Z torch._C._jit_set_autocast_mode(self.previous_jit_autocast_pass) 2022-12-01T10:56:31.4209757Z 2022-12-01T10:56:31.4209891Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4210099Z ========== 2022-12-01T10:56:31.4210259Z ok (2.799s) 2022-12-01T10:56:31.4210769Z test_nchw_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 792 2022-12-01T10:56:31.4211111Z due to: 2022-12-01T10:56:31.4211296Z Traceback (most recent call last): 2022-12-01T10:56:31.4211578Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4211995Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4212477Z AssertionError: torch.* op returned non-Tensor autocast call_function 2022-12-01T10:56:31.4212701Z 2022-12-01T10:56:31.4212771Z from user code: 2022-12-01T10:56:31.4213030Z File "test_jit_autocast.py", line 793, in 2022-12-01T10:56:31.4213331Z with torch.cpu.amp.autocast(cache_enabled=False), torch.no_grad(): 2022-12-01T10:56:31.4213500Z 2022-12-01T10:56:31.4213630Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4213847Z ========== 2022-12-01T10:56:31.4214546Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:56:31.4215047Z warnings.warn(msg, FutureWarning) 2022-12-01T10:56:31.4215812Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:56:31.4216304Z warnings.warn(msg, FutureWarning) 2022-12-01T10:56:31.4217004Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:56:31.4217468Z warnings.warn(msg, FutureWarning) 2022-12-01T10:56:31.4217662Z ok (3.905s) 2022-12-01T10:56:31.4218181Z test_nhwc_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 807 2022-12-01T10:56:31.4218533Z due to: 2022-12-01T10:56:31.4218708Z Traceback (most recent call last): 2022-12-01T10:56:31.4218987Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4219412Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4219877Z AssertionError: torch.* op returned non-Tensor autocast call_function 2022-12-01T10:56:31.4220099Z 2022-12-01T10:56:31.4220169Z from user code: 2022-12-01T10:56:31.4220429Z File "test_jit_autocast.py", line 808, in 2022-12-01T10:56:31.4220749Z with torch.cpu.amp.autocast(cache_enabled=False), torch.no_grad(): 2022-12-01T10:56:31.4220903Z 2022-12-01T10:56:31.4221079Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4221300Z ========== 2022-12-01T10:56:31.4221982Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:56:31.4222517Z warnings.warn(msg, FutureWarning) 2022-12-01T10:56:31.4223208Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:56:31.4223696Z warnings.warn(msg, FutureWarning) 2022-12-01T10:56:31.4224392Z /opt/conda/lib/python3.7/site-packages/torch/testing/_deprecated.py:35: FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in 1.14. Use torch.testing.assert_close() instead. For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844. 2022-12-01T10:56:31.4224866Z warnings.warn(msg, FutureWarning) 2022-12-01T10:56:31.4225040Z ok (3.559s) 2022-12-01T10:56:31.4225520Z test_script_autocast_cpu (__main__.TestJitTraceAutocast) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 829 2022-12-01T10:56:31.4225859Z due to: 2022-12-01T10:56:31.4226028Z Traceback (most recent call last): 2022-12-01T10:56:31.4226305Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4226730Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4227208Z AssertionError: torch.* op returned non-Tensor autocast call_function 2022-12-01T10:56:31.4227427Z 2022-12-01T10:56:31.4227487Z from user code: 2022-12-01T10:56:31.4227735Z File "test_jit_autocast.py", line 832, in 2022-12-01T10:56:31.4228004Z with torch.cpu.amp.autocast(): 2022-12-01T10:56:31.4228139Z 2022-12-01T10:56:31.4228255Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4228486Z ========== 2022-12-01T10:56:31.4228846Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn test_jit_autocast.py line 823 2022-12-01T10:56:31.4229088Z due to: 2022-12-01T10:56:31.4229256Z Traceback (most recent call last): 2022-12-01T10:56:31.4229532Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4229961Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4230406Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:56:31.4230611Z 2022-12-01T10:56:31.4230684Z from user code: 2022-12-01T10:56:31.4230888Z File "test_jit_autocast.py", line 824, in fn 2022-12-01T10:56:31.4231101Z if torch.is_autocast_cpu_enabled(): 2022-12-01T10:56:31.4231235Z 2022-12-01T10:56:31.4231365Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4231585Z ========== 2022-12-01T10:56:31.4231742Z ok (0.070s) 2022-12-01T10:56:31.4231977Z test_script_autocast_cuda (__main__.TestJitTraceAutocast) ... skip: No cuda (0.001s) 2022-12-01T10:56:31.4232577Z test_script_autocast_enable_and_check (__main__.TestJitTraceAutocast) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 907 2022-12-01T10:56:31.4232939Z due to: 2022-12-01T10:56:31.4233107Z Traceback (most recent call last): 2022-12-01T10:56:31.4233383Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4233858Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4234340Z AssertionError: torch.* op returned non-Tensor autocast call_function 2022-12-01T10:56:31.4234586Z 2022-12-01T10:56:31.4234657Z from user code: 2022-12-01T10:56:31.4234924Z File "test_jit_autocast.py", line 909, in 2022-12-01T10:56:31.4235225Z with torch.cpu.amp.autocast(enabled=False): 2022-12-01T10:56:31.4235373Z 2022-12-01T10:56:31.4235492Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4235715Z ========== 2022-12-01T10:56:31.4236029Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn test_jit_autocast.py line 886 2022-12-01T10:56:31.4236272Z due to: 2022-12-01T10:56:31.4236440Z Traceback (most recent call last): 2022-12-01T10:56:31.4236717Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:31.4237143Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:31.4237585Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:56:31.4237792Z 2022-12-01T10:56:31.4237861Z from user code: 2022-12-01T10:56:31.4238065Z File "test_jit_autocast.py", line 887, in fn 2022-12-01T10:56:31.4238277Z b1 = torch.is_autocast_cpu_enabled() 2022-12-01T10:56:31.4238406Z 2022-12-01T10:56:31.4238535Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4238753Z ========== 2022-12-01T10:56:31.4238910Z ok (0.149s) 2022-12-01T10:56:31.4239369Z test_scripted_aliasing (__main__.TestJitTraceAutocast) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_jit_autocast.py line 871 2022-12-01T10:56:31.4239701Z due to: 2022-12-01T10:56:31.4239885Z Traceback (most recent call last): 2022-12-01T10:56:31.4240158Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:56:31.4240459Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:56:31.4240902Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:56:31.4241130Z 2022-12-01T10:56:31.4241200Z from user code: 2022-12-01T10:56:31.4241433Z File "test_jit_autocast.py", line 872, in 2022-12-01T10:56:31.4241675Z graph = fn_s.graph 2022-12-01T10:56:31.4241787Z 2022-12-01T10:56:31.4241917Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:31.4242122Z ========== 2022-12-01T10:56:31.4242281Z ok (0.070s) 2022-12-01T10:56:31.4242380Z 2022-12-01T10:56:31.4242579Z ---------------------------------------------------------------------- 2022-12-01T10:56:31.4242807Z Ran 52 tests in 11.350s 2022-12-01T10:56:31.4242918Z 2022-12-01T10:56:31.4242992Z OK (skipped=44) 2022-12-01T10:56:31.4243098Z 2022-12-01T10:56:31.4243183Z Generating XML reports... 2022-12-01T10:56:31.4243577Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestAutocast-20221201105619.xml 2022-12-01T10:56:31.4244090Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestJitTraceAutocast-20221201105619.xml 2022-12-01T10:56:31.4244331Z 2022-12-01T10:56:31.4244623Z ##[endgroup] 2022-12-01T10:56:31.4245010Z FINISHED PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_grcj3820) 2022-12-01T10:56:31.4245214Z 2022-12-01T10:56:31.4245405Z Running test_xnnpack_integration ... [2022-12-01 10:56:31.417059] 2022-12-01T10:56:31.4245902Z Executing ['/opt/conda/bin/python', '-bb', 'test_xnnpack_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:56:31.417395] 2022-12-01T10:56:45.6816623Z 2022-12-01T10:56:45.6817213Z Expand the folded group to see the log file of test_xnnpack_integration 2022-12-01T10:56:45.6818452Z ##[group]PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_yr07gxcy) 2022-12-01T10:56:45.6819441Z Test results will be stored in test-reports/python-unittest/test_xnnpack_integration 2022-12-01T10:56:45.6819753Z 2022-12-01T10:56:45.6819827Z Running tests... 2022-12-01T10:56:45.6820127Z ---------------------------------------------------------------------- 2022-12-01T10:56:45.6820877Z test_conv1d_basic (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-12-01T10:56:45.6821522Z test_conv1d_with_relu_fc (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-12-01T10:56:45.6822172Z test_conv2d (__main__.TestXNNPACKOps) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_conv2d test_xnnpack_integration.py line 57 2022-12-01T10:56:45.6822456Z due to: 2022-12-01T10:56:45.6822644Z Traceback (most recent call last): 2022-12-01T10:56:45.6822923Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:45.6823341Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:45.6823807Z AssertionError: torch.* op returned non-Tensor ScriptObject call_function prepacked.conv2d_clamp_prepack 2022-12-01T10:56:45.6824019Z 2022-12-01T10:56:45.6824091Z from user code: 2022-12-01T10:56:45.6824314Z File "test_xnnpack_integration.py", line 110, in test_conv2d 2022-12-01T10:56:45.6824652Z strides, paddings, dilations, groups) 2022-12-01T10:56:45.6824838Z 2022-12-01T10:56:45.6825005Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:45.6825269Z ========== 2022-12-01T10:56:45.6825415Z ok (4.857s) 2022-12-01T10:56:45.6825877Z test_conv2d_transpose (__main__.TestXNNPACKOps) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_conv2d_transpose test_xnnpack_integration.py line 114 2022-12-01T10:56:45.6826194Z due to: 2022-12-01T10:56:45.6826374Z Traceback (most recent call last): 2022-12-01T10:56:45.6826638Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:45.6827065Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:45.6827540Z AssertionError: torch.* op returned non-Tensor ScriptObject call_function prepacked.conv2d_transpose_clamp_prepack 2022-12-01T10:56:45.6827760Z 2022-12-01T10:56:45.6827816Z from user code: 2022-12-01T10:56:45.6828051Z File "test_xnnpack_integration.py", line 177, in test_conv2d_transpose 2022-12-01T10:56:45.6828277Z groups) 2022-12-01T10:56:45.6828379Z 2022-12-01T10:56:45.6828509Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:45.6828714Z ========== 2022-12-01T10:56:45.6828869Z ok (1.565s) 2022-12-01T10:56:45.6829191Z test_linear (__main__.TestXNNPACKOps) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.001s) 2022-12-01T10:56:45.6829751Z test_linear_1d_input (__main__.TestXNNPACKOps) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linear_1d_input test_xnnpack_integration.py line 42 2022-12-01T10:56:45.6830065Z due to: 2022-12-01T10:56:45.6830245Z Traceback (most recent call last): 2022-12-01T10:56:45.6830510Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:56:45.6830935Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:56:45.6831386Z AssertionError: torch.* op returned non-Tensor ScriptObject call_function prepacked.linear_clamp_prepack 2022-12-01T10:56:45.6831593Z 2022-12-01T10:56:45.6831662Z from user code: 2022-12-01T10:56:45.6831881Z File "test_xnnpack_integration.py", line 53, in test_linear_1d_input 2022-12-01T10:56:45.6832291Z packed_weight_bias = torch.ops.prepacked.linear_clamp_prepack(weight, bias) 2022-12-01T10:56:45.6832481Z 2022-12-01T10:56:45.6832612Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:45.6832818Z ========== 2022-12-01T10:56:45.6833020Z ok (0.202s) 2022-12-01T10:56:45.6833258Z test_decomposed_linear (__main__.TestXNNPACKRewritePass) ... ok (0.131s) 2022-12-01T10:56:45.6833756Z test_linear (__main__.TestXNNPACKRewritePass) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT M test_xnnpack_integration.py line 721 2022-12-01T10:56:45.6834050Z due to: 2022-12-01T10:56:45.6834231Z Traceback (most recent call last): 2022-12-01T10:56:45.6834503Z File "/var/lib/jenkins/torchdynamo/torchdynamo/exc.py", line 77, in unimplemented 2022-12-01T10:56:45.6834743Z raise Unsupported(msg) 2022-12-01T10:56:45.6834978Z torchdynamo.exc.Unsupported: missing: LOAD_NAME 2022-12-01T10:56:45.6835129Z 2022-12-01T10:56:45.6835197Z from user code: 2022-12-01T10:56:45.6835397Z File "test_xnnpack_integration.py", line 721, in M 2022-12-01T10:56:45.6835622Z class M(torch.nn.Module): 2022-12-01T10:56:45.6835744Z 2022-12-01T10:56:45.6835875Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:56:45.6836078Z ========== 2022-12-01T10:56:45.6836235Z ok (1.514s) 2022-12-01T10:56:45.6836557Z test_combined_model (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.006s) 2022-12-01T10:56:45.6836914Z test_conv2d (__main__.TestXNNPACKSerDes) ... ok (1.942s) 2022-12-01T10:56:45.6837177Z test_conv2d_transpose (__main__.TestXNNPACKSerDes) ... ok (2.435s) 2022-12-01T10:56:45.6837544Z test_linear (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.003s) 2022-12-01T10:56:45.6837775Z 2022-12-01T10:56:45.6837973Z ---------------------------------------------------------------------- 2022-12-01T10:56:45.6838200Z Ran 12 tests in 12.728s 2022-12-01T10:56:45.6838312Z 2022-12-01T10:56:45.6838381Z OK (skipped=5) 2022-12-01T10:56:45.6838489Z 2022-12-01T10:56:45.6838571Z Generating XML reports... 2022-12-01T10:56:45.6838992Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKOps-20221201105632.xml 2022-12-01T10:56:45.6839541Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKRewritePass-20221201105632.xml 2022-12-01T10:56:45.6840092Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKSerDes-20221201105632.xml 2022-12-01T10:56:45.6840695Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKConv1dTransformPass-20221201105632.xml 2022-12-01T10:56:45.6840971Z 2022-12-01T10:56:45.6841215Z ##[endgroup] 2022-12-01T10:56:45.6841629Z FINISHED PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_yr07gxcy) 2022-12-01T10:56:45.6841866Z 2022-12-01T10:56:45.6842037Z Running lazy/test_ts_opinfo ... [2022-12-01 10:56:45.681979] 2022-12-01T10:56:45.6842508Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:56:45.682402] 2022-12-01T10:57:02.6934275Z 2022-12-01T10:57:02.6934963Z Expand the folded group to see the log file of lazy/test_ts_opinfo 2022-12-01T10:57:02.6935995Z ##[group]PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_32vcv2d4) 2022-12-01T10:57:02.6936810Z Test results will be stored in test-reports/python-unittest/lazy.test_ts_opinfo 2022-12-01T10:57:02.6937158Z 2022-12-01T10:57:02.6937265Z Running tests... 2022-12-01T10:57:02.6937713Z ---------------------------------------------------------------------- 2022-12-01T10:57:02.6938336Z test_nonzero_dynamic (__main__.TestLazyDynamicOps) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT lazy/test_ts_opinfo.py line 294 2022-12-01T10:57:02.6938853Z due to: 2022-12-01T10:57:02.6939372Z Traceback (most recent call last): 2022-12-01T10:57:02.6939910Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.6940544Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.6940898Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.6941168Z 2022-12-01T10:57:02.6941317Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.6941482Z 2022-12-01T10:57:02.6941561Z Traceback (most recent call last): 2022-12-01T10:57:02.6941900Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.6942144Z ) from e 2022-12-01T10:57:02.6942512Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.6942767Z 2022-12-01T10:57:02.6942903Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.6943107Z ========== 2022-12-01T10:57:02.6943261Z ok (0.328s) 2022-12-01T10:57:02.6943729Z test_correctness_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT clone_to_device lazy/test_ts_opinfo.py line 206 2022-12-01T10:57:02.6944119Z due to: 2022-12-01T10:57:02.6944409Z Traceback (most recent call last): 2022-12-01T10:57:02.6945047Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.6945659Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.6946218Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.6946596Z 2022-12-01T10:57:02.6946848Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.6947152Z 2022-12-01T10:57:02.6947318Z Traceback (most recent call last): 2022-12-01T10:57:02.6947822Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.6948255Z ) from e 2022-12-01T10:57:02.6948663Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.6948924Z 2022-12-01T10:57:02.6949054Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.6949299Z ========== 2022-12-01T10:57:02.6949688Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assert_allclose_rec lazy/test_ts_opinfo.py line 213 2022-12-01T10:57:02.6949947Z due to: 2022-12-01T10:57:02.6950116Z Traceback (most recent call last): 2022-12-01T10:57:02.6950498Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.6950840Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.6951172Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.6951379Z 2022-12-01T10:57:02.6951513Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.6951675Z 2022-12-01T10:57:02.6951765Z Traceback (most recent call last): 2022-12-01T10:57:02.6952044Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.6952272Z ) from e 2022-12-01T10:57:02.6952600Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.6952854Z 2022-12-01T10:57:02.6952982Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.6953186Z ========== 2022-12-01T10:57:02.6953342Z ok (0.008s) 2022-12-01T10:57:02.6953580Z test_correctness_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.245s) 2022-12-01T10:57:02.6953899Z test_correctness_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.357s) 2022-12-01T10:57:02.6954294Z test_correctness_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.064s) 2022-12-01T10:57:02.6954625Z test_correctness_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.029s) 2022-12-01T10:57:02.6955011Z test_correctness_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.004s) 2022-12-01T10:57:02.6955338Z test_correctness_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.064s) 2022-12-01T10:57:02.6955665Z test_correctness_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.121s) 2022-12-01T10:57:02.6955982Z test_correctness_block_diag_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.085s) 2022-12-01T10:57:02.6956295Z test_correctness_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.6985825Z test_correctness_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.059s) 2022-12-01T10:57:02.6998232Z test_correctness_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.115s) 2022-12-01T10:57:02.6998678Z test_correctness_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.173s) 2022-12-01T10:57:02.6999141Z test_correctness_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (1.475s) 2022-12-01T10:57:02.6999577Z test_correctness_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7000068Z test_correctness_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7000589Z test_correctness_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.339s) 2022-12-01T10:57:02.7001127Z test_correctness_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.291s) 2022-12-01T10:57:02.7001687Z test_correctness_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.098s) 2022-12-01T10:57:02.7002218Z test_correctness_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-12-01T10:57:02.7002735Z test_correctness_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.001s) 2022-12-01T10:57:02.7003198Z test_correctness_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-12-01T10:57:02.7003633Z test_correctness_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.052s) 2022-12-01T10:57:02.7004082Z test_correctness_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.031s) 2022-12-01T10:57:02.7004507Z test_correctness_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s) 2022-12-01T10:57:02.7004949Z test_correctness_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7005394Z test_correctness_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-12-01T10:57:02.7005837Z test_correctness_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7006247Z test_correctness_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7006758Z test_correctness_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7007420Z test_correctness_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7007832Z test_correctness_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.076s) 2022-12-01T10:57:02.7008284Z test_correctness_logsumexp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.543s) 2022-12-01T10:57:02.7008762Z test_correctness_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7009201Z test_correctness_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-12-01T10:57:02.7009693Z test_correctness_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7010216Z test_correctness_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7010775Z test_correctness_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7011300Z test_correctness_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.545s) 2022-12-01T10:57:02.7011748Z test_correctness_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.136s) 2022-12-01T10:57:02.7012213Z test_correctness_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7012870Z test_correctness_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7013340Z test_correctness_min_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.053s) 2022-12-01T10:57:02.7014099Z test_correctness_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.544s) 2022-12-01T10:57:02.7014540Z test_correctness_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7014973Z test_correctness_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-12-01T10:57:02.7015505Z test_correctness_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.066s) 2022-12-01T10:57:02.7015972Z test_correctness_narrow_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-12-01T10:57:02.7016458Z test_correctness_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.079s) 2022-12-01T10:57:02.7016916Z test_correctness_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.090s) 2022-12-01T10:57:02.7017399Z test_correctness_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7017834Z test_correctness_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7018305Z test_correctness_new_empty_strided_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:57:02.7018767Z test_correctness_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.465s) 2022-12-01T10:57:02.7019234Z test_correctness_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.036s) 2022-12-01T10:57:02.7019736Z test_correctness_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7020219Z test_correctness_norm_nuc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7020765Z test_correctness_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7021239Z test_correctness_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7021686Z test_correctness_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.101s) 2022-12-01T10:57:02.7022108Z test_correctness_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7022565Z test_correctness_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.061s) 2022-12-01T10:57:02.7023034Z test_correctness_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7023473Z test_correctness_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7023924Z test_correctness_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7024381Z test_correctness_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.060s) 2022-12-01T10:57:02.7024830Z test_correctness_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s) 2022-12-01T10:57:02.7025255Z test_correctness_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7025688Z test_correctness_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.086s) 2022-12-01T10:57:02.7026141Z test_correctness_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.059s) 2022-12-01T10:57:02.7026565Z test_correctness_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-12-01T10:57:02.7027022Z test_correctness_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s) 2022-12-01T10:57:02.7027454Z test_correctness_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7027908Z test_correctness_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7028380Z test_correctness_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7028866Z test_correctness_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.055s) 2022-12-01T10:57:02.7029372Z test_correctness_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.054s) 2022-12-01T10:57:02.7029940Z test_correctness_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7030836Z test_correctness_with_reusing_ir_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT clone_to_device lazy/test_ts_opinfo.py line 238 2022-12-01T10:57:02.7031293Z due to: 2022-12-01T10:57:02.7031551Z Traceback (most recent call last): 2022-12-01T10:57:02.7032110Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.7032663Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.7033154Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.7033450Z 2022-12-01T10:57:02.7033638Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.7033862Z 2022-12-01T10:57:02.7033990Z Traceback (most recent call last): 2022-12-01T10:57:02.7034382Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.7034721Z ) from e 2022-12-01T10:57:02.7035249Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.7035654Z 2022-12-01T10:57:02.7035862Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.7036211Z ========== 2022-12-01T10:57:02.7036749Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assert_allclose_rec lazy/test_ts_opinfo.py line 245 2022-12-01T10:57:02.7037157Z due to: 2022-12-01T10:57:02.7037458Z Traceback (most recent call last): 2022-12-01T10:57:02.7038107Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.7038635Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.7039216Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.7039555Z 2022-12-01T10:57:02.7039796Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.7040121Z 2022-12-01T10:57:02.7040277Z Traceback (most recent call last): 2022-12-01T10:57:02.7040766Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.7041198Z ) from e 2022-12-01T10:57:02.7041793Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.7042246Z 2022-12-01T10:57:02.7042469Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.7042823Z ========== 2022-12-01T10:57:02.7043091Z ok (0.023s) 2022-12-01T10:57:02.7043523Z test_correctness_with_reusing_ir_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.020s) 2022-12-01T10:57:02.7044138Z test_correctness_with_reusing_ir_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.042s) 2022-12-01T10:57:02.7044791Z test_correctness_with_reusing_ir_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7045416Z test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-12-01T10:57:02.7046047Z test_correctness_with_reusing_ir_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:57:02.7046770Z test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.015s) 2022-12-01T10:57:02.7047516Z test_correctness_with_reusing_ir_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s) 2022-12-01T10:57:02.7048119Z test_correctness_with_reusing_ir_block_diag_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.046s) 2022-12-01T10:57:02.7048698Z test_correctness_with_reusing_ir_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.144s) 2022-12-01T10:57:02.7049276Z test_correctness_with_reusing_ir_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.030s) 2022-12-01T10:57:02.7050066Z test_correctness_with_reusing_ir_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.071s) 2022-12-01T10:57:02.7050667Z test_correctness_with_reusing_ir_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7051295Z test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (1.172s) 2022-12-01T10:57:02.7051904Z test_correctness_with_reusing_ir_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7052587Z test_correctness_with_reusing_ir_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7053213Z test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.085s) 2022-12-01T10:57:02.7053865Z test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7054546Z test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7055227Z test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7055928Z test_correctness_with_reusing_ir_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.001s) 2022-12-01T10:57:02.7056616Z test_correctness_with_reusing_ir_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.015s) 2022-12-01T10:57:02.7057221Z test_correctness_with_reusing_ir_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7057834Z test_correctness_with_reusing_ir_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-12-01T10:57:02.7058458Z test_correctness_with_reusing_ir_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7059109Z test_correctness_with_reusing_ir_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7059751Z test_correctness_with_reusing_ir_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.018s) 2022-12-01T10:57:02.7060343Z test_correctness_with_reusing_ir_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-12-01T10:57:02.7060944Z test_correctness_with_reusing_ir_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-12-01T10:57:02.7061513Z test_correctness_with_reusing_ir_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7062101Z test_correctness_with_reusing_ir_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7062668Z test_correctness_with_reusing_ir_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7063302Z test_correctness_with_reusing_ir_logsumexp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-12-01T10:57:02.7063938Z test_correctness_with_reusing_ir_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7064557Z test_correctness_with_reusing_ir_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-12-01T10:57:02.7065185Z test_correctness_with_reusing_ir_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-12-01T10:57:02.7065838Z test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7066497Z test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7067117Z test_correctness_with_reusing_ir_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.554s) 2022-12-01T10:57:02.7067734Z test_correctness_with_reusing_ir_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.022s) 2022-12-01T10:57:02.7068313Z test_correctness_with_reusing_ir_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7068965Z test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7069731Z test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7070356Z test_correctness_with_reusing_ir_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.547s) 2022-12-01T10:57:02.7070968Z test_correctness_with_reusing_ir_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7071561Z test_correctness_with_reusing_ir_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7072235Z test_correctness_with_reusing_ir_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7072853Z test_correctness_with_reusing_ir_narrow_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-12-01T10:57:02.7073481Z test_correctness_with_reusing_ir_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.146s) 2022-12-01T10:57:02.7074122Z test_correctness_with_reusing_ir_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.151s) 2022-12-01T10:57:02.7074751Z test_correctness_with_reusing_ir_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-12-01T10:57:02.7075370Z test_correctness_with_reusing_ir_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7076023Z test_correctness_with_reusing_ir_new_empty_strided_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:57:02.7076684Z test_correctness_with_reusing_ir_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.395s) 2022-12-01T10:57:02.7077301Z test_correctness_with_reusing_ir_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s) 2022-12-01T10:57:02.7077913Z test_correctness_with_reusing_ir_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7078545Z test_correctness_with_reusing_ir_norm_nuc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.086s) 2022-12-01T10:57:02.7079181Z test_correctness_with_reusing_ir_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7079811Z test_correctness_with_reusing_ir_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-12-01T10:57:02.7080419Z test_correctness_with_reusing_ir_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.054s) 2022-12-01T10:57:02.7081030Z test_correctness_with_reusing_ir_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7081675Z test_correctness_with_reusing_ir_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.023s) 2022-12-01T10:57:02.7082308Z test_correctness_with_reusing_ir_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7082919Z test_correctness_with_reusing_ir_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7083508Z test_correctness_with_reusing_ir_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7084135Z test_correctness_with_reusing_ir_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.345s) 2022-12-01T10:57:02.7084734Z test_correctness_with_reusing_ir_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.022s) 2022-12-01T10:57:02.7085376Z test_correctness_with_reusing_ir_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s) 2022-12-01T10:57:02.7085977Z test_correctness_with_reusing_ir_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7086563Z test_correctness_with_reusing_ir_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7087379Z test_correctness_with_reusing_ir_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.015s) 2022-12-01T10:57:02.7087939Z test_correctness_with_reusing_ir_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.021s) 2022-12-01T10:57:02.7088529Z test_correctness_with_reusing_ir_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7089227Z test_correctness_with_reusing_ir_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-12-01T10:57:02.7089801Z test_correctness_with_reusing_ir_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7090423Z test_correctness_with_reusing_ir_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.058s) 2022-12-01T10:57:02.7091025Z test_correctness_with_reusing_ir_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.059s) 2022-12-01T10:57:02.7091627Z test_correctness_with_reusing_ir_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7092819Z test_dispatched_to_lazy_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT lazy/test_ts_opinfo.py line 179 2022-12-01T10:57:02.7093404Z due to: 2022-12-01T10:57:02.7093713Z Traceback (most recent call last): 2022-12-01T10:57:02.7094424Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.7095015Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.7095636Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.7096003Z 2022-12-01T10:57:02.7096248Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.7096550Z 2022-12-01T10:57:02.7096710Z Traceback (most recent call last): 2022-12-01T10:57:02.7097165Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.7097578Z ) from e 2022-12-01T10:57:02.7098166Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.7098633Z 2022-12-01T10:57:02.7098856Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.7099252Z ========== 2022-12-01T10:57:02.7099516Z ok (0.129s) 2022-12-01T10:57:02.7099921Z test_dispatched_to_lazy_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.020s) 2022-12-01T10:57:02.7100489Z test_dispatched_to_lazy_addcdiv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.051s) 2022-12-01T10:57:02.7101062Z test_dispatched_to_lazy_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.579s) 2022-12-01T10:57:02.7101642Z test_dispatched_to_lazy_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7102229Z test_dispatched_to_lazy_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.112s) 2022-12-01T10:57:02.7102876Z test_dispatched_to_lazy_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.025s) 2022-12-01T10:57:02.7103535Z test_dispatched_to_lazy_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7104145Z test_dispatched_to_lazy_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-12-01T10:57:02.7104704Z test_dispatched_to_lazy_bernoulli_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-12-01T10:57:02.7105283Z test_dispatched_to_lazy_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7105863Z test_dispatched_to_lazy_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-12-01T10:57:02.7106417Z test_dispatched_to_lazy_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7107049Z test_dispatched_to_lazy_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.015s) 2022-12-01T10:57:02.7107664Z test_dispatched_to_lazy_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s) 2022-12-01T10:57:02.7108344Z test_dispatched_to_lazy_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s) 2022-12-01T10:57:02.7108890Z test_dispatched_to_lazy_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-12-01T10:57:02.7109477Z test_dispatched_to_lazy_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-12-01T10:57:02.7110205Z test_dispatched_to_lazy_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.425s) 2022-12-01T10:57:02.7110857Z test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7111480Z test_dispatched_to_lazy_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-12-01T10:57:02.7112164Z test_dispatched_to_lazy_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.001s) 2022-12-01T10:57:02.7112872Z test_dispatched_to_lazy_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7113424Z test_dispatched_to_lazy_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.035s) 2022-12-01T10:57:02.7113985Z test_dispatched_to_lazy_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-12-01T10:57:02.7114569Z test_dispatched_to_lazy_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s) 2022-12-01T10:57:02.7115154Z test_dispatched_to_lazy_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7115717Z test_dispatched_to_lazy_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7116280Z test_dispatched_to_lazy_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7116828Z test_dispatched_to_lazy_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.029s) 2022-12-01T10:57:02.7117379Z test_dispatched_to_lazy_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7117941Z test_dispatched_to_lazy_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7118485Z test_dispatched_to_lazy_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.030s) 2022-12-01T10:57:02.7119050Z test_dispatched_to_lazy_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7119605Z test_dispatched_to_lazy_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7120204Z test_dispatched_to_lazy_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7120817Z test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7121441Z test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7122032Z test_dispatched_to_lazy_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7122614Z test_dispatched_to_lazy_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-12-01T10:57:02.7123205Z test_dispatched_to_lazy_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7123811Z test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.054s) 2022-12-01T10:57:02.7124460Z test_dispatched_to_lazy_min_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.084s) 2022-12-01T10:57:02.7125046Z test_dispatched_to_lazy_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7125618Z test_dispatched_to_lazy_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7126169Z test_dispatched_to_lazy_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7126844Z test_dispatched_to_lazy_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7127580Z test_dispatched_to_lazy_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7128207Z test_dispatched_to_lazy_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-12-01T10:57:02.7128769Z test_dispatched_to_lazy_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7129350Z test_dispatched_to_lazy_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-12-01T10:57:02.7130066Z test_dispatched_to_lazy_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7130649Z test_dispatched_to_lazy_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7131263Z test_dispatched_to_lazy_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7131817Z test_dispatched_to_lazy_norm_nuc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7132377Z test_dispatched_to_lazy_pow_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7133081Z test_dispatched_to_lazy_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7133675Z test_dispatched_to_lazy_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-12-01T10:57:02.7134256Z test_dispatched_to_lazy_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-12-01T10:57:02.7134803Z test_dispatched_to_lazy_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7135384Z test_dispatched_to_lazy_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-12-01T10:57:02.7135981Z test_dispatched_to_lazy_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7136574Z test_dispatched_to_lazy_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-12-01T10:57:02.7137140Z test_dispatched_to_lazy_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.030s) 2022-12-01T10:57:02.7137749Z test_dispatched_to_lazy_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-12-01T10:57:02.7138340Z test_dispatched_to_lazy_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-12-01T10:57:02.7138885Z test_dispatched_to_lazy_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-12-01T10:57:02.7139440Z test_dispatched_to_lazy_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7140013Z test_dispatched_to_lazy_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7140595Z test_dispatched_to_lazy_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-12-01T10:57:02.7141154Z test_dispatched_to_lazy_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.025s) 2022-12-01T10:57:02.7141743Z test_dispatched_to_lazy_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-12-01T10:57:02.7142316Z test_dispatched_to_lazy_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-12-01T10:57:02.7142913Z test_dispatched_to_lazy_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-12-01T10:57:02.7143486Z test_dispatched_to_lazy_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-12-01T10:57:02.7144064Z test_dispatched_to_lazy_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.049s) 2022-12-01T10:57:02.7144653Z test_dispatched_to_lazy_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-12-01T10:57:02.7145304Z testConvolutionBackward (__main__.TestLazyTensor) ... skip: Disable until autograd supports symints (0.001s) 2022-12-01T10:57:02.7146359Z test_tensor_ctr (__main__.TestLazyTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT lazy/test_ts_opinfo.py line 149 2022-12-01T10:57:02.7146896Z due to: 2022-12-01T10:57:02.7147219Z Traceback (most recent call last): 2022-12-01T10:57:02.7147878Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.7148489Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.7149114Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.7149491Z 2022-12-01T10:57:02.7149696Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.7149982Z 2022-12-01T10:57:02.7150140Z Traceback (most recent call last): 2022-12-01T10:57:02.7150738Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.7151165Z ) from e 2022-12-01T10:57:02.7151721Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.7152201Z 2022-12-01T10:57:02.7152442Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.7152743Z 2022-12-01T10:57:02.7152895Z Traceback (most recent call last): 2022-12-01T10:57:02.7153372Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:02.7153931Z raise TorchRuntimeError() from e 2022-12-01T10:57:02.7154341Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:02.7154586Z 2022-12-01T10:57:02.7154704Z from user code: 2022-12-01T10:57:02.7155097Z File "lazy/test_ts_opinfo.py", line 151, in 2022-12-01T10:57:02.7155704Z inp_lazy = torch.tensor([[1, 2, 3, 4, 5]], device='lazy') 2022-12-01T10:57:02.7155958Z 2022-12-01T10:57:02.7156193Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.7156538Z ========== 2022-12-01T10:57:02.7157084Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT foo lazy/test_ts_opinfo.py line 153 2022-12-01T10:57:02.7157504Z due to: 2022-12-01T10:57:02.7157795Z Traceback (most recent call last): 2022-12-01T10:57:02.7158470Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:02.7159039Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:02.7159607Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:02.7159971Z 2022-12-01T10:57:02.7160215Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:02.7160523Z 2022-12-01T10:57:02.7160683Z Traceback (most recent call last): 2022-12-01T10:57:02.7161158Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:02.7161592Z ) from e 2022-12-01T10:57:02.7162135Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:02.7162600Z 2022-12-01T10:57:02.7162831Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:02.7163232Z ========== 2022-12-01T10:57:02.7163488Z ok (0.012s) 2022-12-01T10:57:02.7163871Z test_view_mark_step_preserved (__main__.TestLazyTensor) ... ok (0.023s) 2022-12-01T10:57:02.7164159Z 2022-12-01T10:57:02.7164503Z ---------------------------------------------------------------------- 2022-12-01T10:57:02.7164872Z Ran 237 tests in 14.340s 2022-12-01T10:57:02.7165061Z 2022-12-01T10:57:02.7165220Z OK (skipped=8, expected failures=2) 2022-12-01T10:57:02.7165438Z 2022-12-01T10:57:02.7165580Z Generating XML reports... 2022-12-01T10:57:02.7166333Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20221201105647.xml 2022-12-01T10:57:02.7167545Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyOpInfoCPU-20221201105647.xml 2022-12-01T10:57:02.7168416Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20221201105647.xml 2022-12-01T10:57:02.7168815Z 2022-12-01T10:57:02.7169326Z ##[endgroup] 2022-12-01T10:57:02.7169989Z FINISHED PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_32vcv2d4) 2022-12-01T10:57:02.7170366Z 2022-12-01T10:57:02.7170665Z Running test_transformers ... [2022-12-01 10:57:02.694493] 2022-12-01T10:57:02.7171507Z Executing ['/opt/conda/bin/python', '-bb', 'test_transformers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:02.694863] 2022-12-01T10:57:16.0590081Z 2022-12-01T10:57:16.0590668Z Expand the folded group to see the log file of test_transformers 2022-12-01T10:57:16.0591874Z ##[group]PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_lj0btbdr) 2022-12-01T10:57:16.0592723Z Test results will be stored in test-reports/python-unittest/test_transformers 2022-12-01T10:57:16.0593008Z 2022-12-01T10:57:16.0593111Z Running tests... 2022-12-01T10:57:16.0593590Z ---------------------------------------------------------------------- 2022-12-01T10:57:16.0593947Z test_decoder_only_layer (__main__.TestTransformers) ... skip: Fairseq not found (0.015s) 2022-12-01T10:57:16.0594287Z test_mask_check_fastpath (__main__.TestTransformers) 2022-12-01T10:57:16.0594937Z Test that fastpath is executed independently of the mask that is passed. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mask_check_fastpath test_transformers.py line 873 2022-12-01T10:57:16.0595306Z due to: 2022-12-01T10:57:16.0595492Z Traceback (most recent call last): 2022-12-01T10:57:16.0595814Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:16.0596115Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0596559Z RuntimeError: Creating a new Tensor subclass Tensor but the raw Tensor object is already associated to a python object of type FakeTensor 2022-12-01T10:57:16.0596790Z 2022-12-01T10:57:16.0596929Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:16.0597110Z 2022-12-01T10:57:16.0597254Z Traceback (most recent call last): 2022-12-01T10:57:16.0597553Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:16.0597831Z raise TorchRuntimeError() from e 2022-12-01T10:57:16.0598052Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:16.0598192Z 2022-12-01T10:57:16.0598264Z from user code: 2022-12-01T10:57:16.0598497Z File "test_transformers.py", line 882, in test_mask_check_fastpath 2022-12-01T10:57:16.0598752Z x = torch.Tensor([[[1, 2], [3, 4], [5, 6]]]).to(torch.float) 2022-12-01T10:57:16.0598897Z 2022-12-01T10:57:16.0599028Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:16.0599245Z ========== 2022-12-01T10:57:16.0599597Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_fastpath test_transformers.py line 884 2022-12-01T10:57:16.0599893Z due to: 2022-12-01T10:57:16.0600075Z Traceback (most recent call last): 2022-12-01T10:57:16.0600476Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:16.0600863Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:16.0601212Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:16.0601420Z 2022-12-01T10:57:16.0601557Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:16.0601723Z 2022-12-01T10:57:16.0601814Z Traceback (most recent call last): 2022-12-01T10:57:16.0602081Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:16.0602328Z ) from e 2022-12-01T10:57:16.0602663Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:16.0602919Z 2022-12-01T10:57:16.0603036Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:16.0603258Z ========== 2022-12-01T10:57:16.0603875Z /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:47: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:177.) 2022-12-01T10:57:16.0604391Z nt = torch._nested_tensor_from_tensor_list(new_data, dtype, None, device, pin_memory) 2022-12-01T10:57:16.0604617Z ok (2.867s) 2022-12-01T10:57:16.0604912Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.048s) 2022-12-01T10:57:16.0605391Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.022s) 2022-12-01T10:57:16.0605789Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.022s) 2022-12-01T10:57:16.0606179Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0606661Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0607312Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0607726Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.019s) 2022-12-01T10:57:16.0608111Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0608507Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0608910Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0609385Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0609792Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0610193Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0610586Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0610969Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0611363Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.016s) 2022-12-01T10:57:16.0611758Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0612149Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0612537Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0612939Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0613344Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0613743Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0614119Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0614511Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0614910Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0615314Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0615758Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.013s) 2022-12-01T10:57:16.0616153Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0616541Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0616933Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-12-01T10:57:16.0617321Z test_sdp_runtime_dispatch (__main__.TestTransformers) ... skip: CUDA unavailable (0.002s) 2022-12-01T10:57:16.0617830Z test_self_attn_TxT_attn_mask (__main__.TestTransformers) ... skip: 4D mask not supported yet - activate when 4D mask supported (0.001s) 2022-12-01T10:57:16.0618474Z test_train_with_pad_and_catch_error_device_cpu (__main__.TestTransformers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_transformers.py line 84 2022-12-01T10:57:16.0618833Z due to: 2022-12-01T10:57:16.0619006Z Traceback (most recent call last): 2022-12-01T10:57:16.0619300Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:16.0619610Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:16.0619845Z AssertionError: _RequiredParameter 2022-12-01T10:57:16.0619980Z 2022-12-01T10:57:16.0620051Z from user code: 2022-12-01T10:57:16.0620318Z File "test_transformers.py", line 85, in 2022-12-01T10:57:16.0620620Z optimizer = optim.SGD(encoder.parameters(), lr=0.1, momentum=0.9) 2022-12-01T10:57:16.0620784Z 2022-12-01T10:57:16.0620915Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:16.0621135Z ========== 2022-12-01T10:57:16.0621291Z ok (2.817s) 2022-12-01T10:57:16.0621592Z test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (1.828s) 2022-12-01T10:57:16.0622034Z test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.313s) 2022-12-01T10:57:16.0622463Z test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.531s) 2022-12-01T10:57:16.0622889Z test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.218s) 2022-12-01T10:57:16.0623563Z test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_transformers.py line 359 2022-12-01T10:57:16.0623953Z due to: 2022-12-01T10:57:16.0624139Z Traceback (most recent call last): 2022-12-01T10:57:16.0624410Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:16.0624844Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:16.0625372Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:57:16.0625616Z 2022-12-01T10:57:16.0625689Z from user code: 2022-12-01T10:57:16.0625909Z File "test_transformers.py", line 365, in 2022-12-01T10:57:16.0626212Z result = model(encoder_input, src_key_padding_mask=mask) 2022-12-01T10:57:16.0626364Z 2022-12-01T10:57:16.0626497Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:16.0626720Z ========== 2022-12-01T10:57:16.0626867Z ok (0.187s) 2022-12-01T10:57:16.0627175Z test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.089s) 2022-12-01T10:57:16.0627644Z test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.130s) 2022-12-01T10:57:16.0628060Z test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.094s) 2022-12-01T10:57:16.0628506Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False (__main__.TestTransformers) 2022-12-01T10:57:16.0629180Z Test TransformerEncoder fastpath output matches slowpath output ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0629702Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0630171Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0630603Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0631060Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0631501Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0631959Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0632392Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0632846Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0633280Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0633688Z :10: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0634227Z :12: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0634779Z :14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0635322Z :16: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0635883Z :18: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0636231Z ok (0.683s) 2022-12-01T10:57:16.0636537Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True (__main__.TestTransformers) 2022-12-01T10:57:16.0637193Z Test TransformerEncoder fastpath output matches slowpath output ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_transformers.py line 167 2022-12-01T10:57:16.0637550Z due to: 2022-12-01T10:57:16.0637756Z Traceback (most recent call last): 2022-12-01T10:57:16.0638032Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/misc.py", line 303, in create 2022-12-01T10:57:16.0638299Z assert "device_type" in kwargs 2022-12-01T10:57:16.0638492Z AssertionError 2022-12-01T10:57:16.0638588Z 2022-12-01T10:57:16.0638658Z from user code: 2022-12-01T10:57:16.0638925Z File "test_transformers.py", line 219, in 2022-12-01T10:57:16.0639298Z maybe_autocast = torch.autocast("cuda", dtype=torch.float16) if use_autocast else contextlib.nullcontext() 2022-12-01T10:57:16.0639509Z 2022-12-01T10:57:16.0639661Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:16.0639882Z ========== 2022-12-01T10:57:16.0640312Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0640762Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0641211Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0641656Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0642116Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0642557Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0642999Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0643437Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0643890Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0644328Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:16.0644756Z test_transformers.py:216: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0645142Z ) for pair in input_mask_pairs 2022-12-01T10:57:16.0645603Z /opt/conda/lib/python3.7/site-packages/torch/amp/autocast_mode.py:202: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling 2022-12-01T10:57:16.0646090Z warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling') 2022-12-01T10:57:16.0646335Z ok (0.622s) 2022-12-01T10:57:16.0646735Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False (__main__.TestTransformers) 2022-12-01T10:57:16.0647482Z Test TransformerEncoder fastpath output matches slowpath output ... test_transformers.py:216: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-12-01T10:57:16.0647942Z ) for pair in input_mask_pairs 2022-12-01T10:57:16.0648116Z ok (0.311s) 2022-12-01T10:57:16.0648432Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True (__main__.TestTransformers) 2022-12-01T10:57:16.0649119Z Test TransformerEncoder fastpath output matches slowpath output ... /opt/conda/lib/python3.7/site-packages/torch/amp/autocast_mode.py:202: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling 2022-12-01T10:57:16.0649739Z warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling') 2022-12-01T10:57:16.0649982Z ok (0.293s) 2022-12-01T10:57:16.0650295Z test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-12-01T10:57:16.0650702Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.064s) 2022-12-01T10:57:16.0651155Z test_transformerencoder_square_input_with_no_grad_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-12-01T10:57:16.0651546Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s) 2022-12-01T10:57:16.0651954Z test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-12-01T10:57:16.0652357Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s) 2022-12-01T10:57:16.0652761Z test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-12-01T10:57:16.0653147Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s) 2022-12-01T10:57:16.0653521Z test_transformerencoderlayer_src_mask_device_cpu_nhead_1 (__main__.TestTransformers) ... ok (0.055s) 2022-12-01T10:57:16.0653892Z test_transformerencoderlayer_src_mask_device_cpu_nhead_4 (__main__.TestTransformers) ... ok (0.006s) 2022-12-01T10:57:16.0654243Z test_transformerencoderlayer_src_mask_device_cpu_nhead_8 (__main__.TestTransformers) ... ok (0.006s) 2022-12-01T10:57:16.0654445Z 2022-12-01T10:57:16.0654649Z ---------------------------------------------------------------------- 2022-12-01T10:57:16.0654896Z Ran 54 tests in 11.550s 2022-12-01T10:57:16.0655013Z 2022-12-01T10:57:16.0655085Z OK (skipped=3) 2022-12-01T10:57:16.0655192Z 2022-12-01T10:57:16.0655264Z Generating XML reports... 2022-12-01T10:57:16.0655678Z Generated XML report: test-reports/python-unittest/test_transformers/TEST-TestTransformers-20221201105704.xml 2022-12-01T10:57:16.0655913Z 2022-12-01T10:57:16.0656197Z ##[endgroup] 2022-12-01T10:57:16.0656573Z FINISHED PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_lj0btbdr) 2022-12-01T10:57:16.0656795Z 2022-12-01T10:57:16.0656949Z Running test_utils ... [2022-12-01 10:57:16.059578] 2022-12-01T10:57:16.0657399Z Executing ['/opt/conda/bin/python', '-bb', 'test_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:16.059938] 2022-12-01T10:57:23.8166290Z 2022-12-01T10:57:23.8166832Z Expand the folded group to see the log file of test_utils 2022-12-01T10:57:23.8168011Z ##[group]PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_n_jxj61o) 2022-12-01T10:57:23.8168997Z Test results will be stored in test-reports/python-unittest/test_utils 2022-12-01T10:57:23.8169634Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T10:57:23.8169797Z 2022-12-01T10:57:23.8169873Z Running tests... 2022-12-01T10:57:23.8170173Z ---------------------------------------------------------------------- 2022-12-01T10:57:23.8170463Z test_assert_scriptable (__main__.TestAssert) ... ok (2.139s) 2022-12-01T10:57:23.8170736Z test_assert_true (__main__.TestAssert) ... ok (0.098s) 2022-12-01T10:57:23.8171565Z test_bottleneck_cpu_only (__main__.TestBottleneck) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68433 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:57:23.8172538Z test_bottleneck_cuda (__main__.TestBottleneck) ... skip: No CUDA (0.000s) 2022-12-01T10:57:23.8172833Z test_checkpoint (__main__.TestCheckpoint) ... ok (0.213s) 2022-12-01T10:57:23.8173116Z test_checkpoint_module_list (__main__.TestCheckpoint) ... ok (0.063s) 2022-12-01T10:57:23.8173708Z test_checkpoint_no_tensors (__main__.TestCheckpoint) ... /opt/conda/lib/python3.7/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None 2022-12-01T10:57:23.8174220Z warnings.warn("None of the inputs have requires_grad=True. Gradients will be None") 2022-12-01T10:57:23.8174468Z ok (0.059s) 2022-12-01T10:57:23.8174701Z test_checkpoint_non_tensor (__main__.TestCheckpoint) ... ok (0.010s) 2022-12-01T10:57:23.8174995Z test_checkpoint_non_tensor_inputs_outputs (__main__.TestCheckpoint) ... ok (0.252s) 2022-12-01T10:57:23.8175403Z test_checkpoint_not_preserve_rng_state_and_without_reentrant (__main__.TestCheckpoint) ... skip: No CUDA (0.001s) 2022-12-01T10:57:23.8175832Z test_checkpoint_partial_grad (__main__.TestCheckpoint) ... ok (0.030s) 2022-12-01T10:57:23.8176190Z test_checkpoint_rng_cpu (__main__.TestCheckpoint) ... ok (0.024s) 2022-12-01T10:57:23.8176476Z test_checkpoint_rng_cuda (__main__.TestCheckpoint) ... skip: No CUDA (0.001s) 2022-12-01T10:57:23.8176808Z test_checkpoint_sequential_deprecated_multiple_args (__main__.TestCheckpoint) ... ok (0.003s) 2022-12-01T10:57:23.8177151Z test_checkpoint_sequential_deprecated_no_args (__main__.TestCheckpoint) ... ok (0.003s) 2022-12-01T10:57:23.8177451Z test_checkpoint_trigger (__main__.TestCheckpoint) ... ok (0.009s) 2022-12-01T10:57:23.8177731Z test_checkpoint_valid (__main__.TestCheckpoint) ... ok (0.064s) 2022-12-01T10:57:23.8178067Z test_checkpointing_without_reentrant_early_free (__main__.TestCheckpoint) ... skip: Test requires CUDA (0.002s) 2022-12-01T10:57:23.8178921Z test_smoke (__main__.TestCollectEnv) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77345 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-12-01T10:57:23.8179690Z test_cc_compiler_is_ok (__main__.TestCppExtensionUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cc_compiler_is_ok test_utils.py line 769 2022-12-01T10:57:23.8179990Z due to: 2022-12-01T10:57:23.8180177Z Traceback (most recent call last): 2022-12-01T10:57:23.8180463Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:23.8180883Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:23.8181370Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:57:23.8181593Z 2022-12-01T10:57:23.8181665Z from user code: 2022-12-01T10:57:23.8181888Z File "test_utils.py", line 770, in test_cc_compiler_is_ok 2022-12-01T10:57:23.8182246Z self.assertTrue(torch.utils.cpp_extension.check_compiler_ok_for_platform('cc')) 2022-12-01T10:57:23.8182433Z 2022-12-01T10:57:23.8182566Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:23.8182788Z ========== 2022-12-01T10:57:23.8182935Z ok (0.707s) 2022-12-01T10:57:23.8183384Z test_cpp_compiler_is_ok (__main__.TestCppExtensionUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cpp_compiler_is_ok test_utils.py line 766 2022-12-01T10:57:23.8183702Z due to: 2022-12-01T10:57:23.8183876Z Traceback (most recent call last): 2022-12-01T10:57:23.8184157Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:23.8184583Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:23.8185132Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:57:23.8185352Z 2022-12-01T10:57:23.8185411Z from user code: 2022-12-01T10:57:23.8185634Z File "test_utils.py", line 767, in test_cpp_compiler_is_ok 2022-12-01T10:57:23.8186008Z self.assertTrue(torch.utils.cpp_extension.check_compiler_ok_for_platform('c++')) 2022-12-01T10:57:23.8186198Z 2022-12-01T10:57:23.8186332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:23.8186542Z ========== 2022-12-01T10:57:23.8186702Z ok (0.047s) 2022-12-01T10:57:23.8187496Z test_multi_drop (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82865 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.005s) 2022-12-01T10:57:23.8188257Z test_multi_keep (__main__.TestDataLoaderUtils) ... skip: FIXME: Intermittent CUDA out-of-memory error on Windows and time-out under ASAN (0.000s) 2022-12-01T10:57:23.8189150Z test_random_seed (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70516 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:57:23.8189900Z test_single_drop (__main__.TestDataLoaderUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_single_drop test_utils.py line 455 2022-12-01T10:57:23.8190204Z due to: 2022-12-01T10:57:23.8190388Z Traceback (most recent call last): 2022-12-01T10:57:23.8190657Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:23.8191088Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:23.8191599Z AssertionError: torch.* op returned non-Tensor DataLoader call_function 2022-12-01T10:57:23.8191842Z 2022-12-01T10:57:23.8191901Z from user code: 2022-12-01T10:57:23.8192114Z File "test_utils.py", line 459, in test_single_drop 2022-12-01T10:57:23.8192325Z drop_last=True) 2022-12-01T10:57:23.8192435Z 2022-12-01T10:57:23.8192567Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:23.8192778Z ========== 2022-12-01T10:57:23.8192936Z ok (0.008s) 2022-12-01T10:57:23.8193358Z test_single_keep (__main__.TestDataLoaderUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_single_keep test_utils.py line 444 2022-12-01T10:57:23.8193645Z due to: 2022-12-01T10:57:23.8193831Z Traceback (most recent call last): 2022-12-01T10:57:23.8194108Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:23.8194530Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:23.8195027Z AssertionError: torch.* op returned non-Tensor DataLoader call_function 2022-12-01T10:57:23.8195267Z 2022-12-01T10:57:23.8195338Z from user code: 2022-12-01T10:57:23.8195551Z File "test_utils.py", line 451, in test_single_keep 2022-12-01T10:57:23.8195750Z drop_last=False) 2022-12-01T10:57:23.8195861Z 2022-12-01T10:57:23.8195993Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:23.8196213Z ========== 2022-12-01T10:57:23.8196360Z ok (0.003s) 2022-12-01T10:57:23.8196605Z test_external_module_register (__main__.TestExtensionUtils) ... ok (0.010s) 2022-12-01T10:57:23.8196889Z test_import_hipify (__main__.TestHipify) ... ok (0.001s) 2022-12-01T10:57:23.8197353Z test_check_onnx_broadcast (__main__.TestONNXUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT try_check_onnx_broadcast test_utils.py line 600 2022-12-01T10:57:23.8197696Z due to: 2022-12-01T10:57:23.8197881Z Traceback (most recent call last): 2022-12-01T10:57:23.8198278Z File "/opt/conda/lib/python3.7/site-packages/torch/autograd/_functions/utils.py", line 55, in check_onnx_broadcast 2022-12-01T10:57:23.8198574Z "Input dims are: {}, {}".format(dims1, dims2)) 2022-12-01T10:57:23.8198867Z ValueError: Numpy style broadcasting is not supported in ONNX. Input dims are: [3, 4], [2, 3, 4] 2022-12-01T10:57:23.8199057Z 2022-12-01T10:57:23.8199129Z from user code: 2022-12-01T10:57:23.8199338Z File "test_utils.py", line 604, in try_check_onnx_broadcast 2022-12-01T10:57:23.8199644Z broadcast = check_onnx_broadcast(dims1, dims2) 2022-12-01T10:57:23.8199786Z 2022-12-01T10:57:23.8199918Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:23.8200124Z ========== 2022-12-01T10:57:23.8200284Z ok (0.004s) 2022-12-01T10:57:23.8200730Z test_prepare_onnx_paddings (__main__.TestONNXUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_prepare_onnx_paddings test_utils.py line 592 2022-12-01T10:57:23.8201046Z due to: 2022-12-01T10:57:23.8201216Z Traceback (most recent call last): 2022-12-01T10:57:23.8201498Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:23.8201933Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:23.8202352Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:57:23.8202544Z 2022-12-01T10:57:23.8202615Z from user code: 2022-12-01T10:57:23.8202843Z File "test_utils.py", line 595, in test_prepare_onnx_paddings 2022-12-01T10:57:23.8203113Z paddings = _prepare_onnx_paddings(len(sizes), pad) 2022-12-01T10:57:23.8203250Z 2022-12-01T10:57:23.8203381Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:23.8203600Z ========== 2022-12-01T10:57:23.8203761Z ok (0.002s) 2022-12-01T10:57:23.8203987Z test_load_standalone (__main__.TestStandaloneCPPJIT) ... ok (2.005s) 2022-12-01T10:57:23.8204157Z 2022-12-01T10:57:23.8204359Z ---------------------------------------------------------------------- 2022-12-01T10:57:23.8204601Z Ran 31 tests in 5.841s 2022-12-01T10:57:23.8204715Z 2022-12-01T10:57:23.8204774Z OK (skipped=9) 2022-12-01T10:57:23.8204881Z 2022-12-01T10:57:23.8204964Z Generating XML reports... 2022-12-01T10:57:23.8205344Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestAssert-20221201105717.xml 2022-12-01T10:57:23.8205826Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20221201105717.xml 2022-12-01T10:57:23.8206328Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20221201105717.xml 2022-12-01T10:57:23.8207080Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20221201105717.xml 2022-12-01T10:57:23.8207594Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20221201105717.xml 2022-12-01T10:57:23.8208076Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestHipify-20221201105717.xml 2022-12-01T10:57:23.8208536Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20221201105717.xml 2022-12-01T10:57:23.8209038Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20221201105717.xml 2022-12-01T10:57:23.8209532Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestBottleneck-20221201105717.xml 2022-12-01T10:57:23.8210001Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20221201105717.xml 2022-12-01T10:57:23.8210219Z 2022-12-01T10:57:23.8210509Z ##[endgroup] 2022-12-01T10:57:23.8210874Z FINISHED PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_n_jxj61o) 2022-12-01T10:57:23.8211079Z 2022-12-01T10:57:23.8211241Z Running test_shape_ops ... [2022-12-01 10:57:23.817114] 2022-12-01T10:57:23.8211796Z Executing ['/opt/conda/bin/python', '-bb', 'test_shape_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:23.817483] 2022-12-01T10:57:28.6064996Z 2022-12-01T10:57:28.6065542Z Expand the folded group to see the log file of test_shape_ops 2022-12-01T10:57:28.6066579Z ##[group]PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_yy_sdc7c) 2022-12-01T10:57:28.6067481Z Test results will be stored in test-reports/python-unittest/test_shape_ops 2022-12-01T10:57:28.6067800Z 2022-12-01T10:57:28.6067935Z Running tests... 2022-12-01T10:57:28.6068672Z ---------------------------------------------------------------------- 2022-12-01T10:57:28.6068969Z test_clamp_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.185s) 2022-12-01T10:57:28.6069253Z test_clamp_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.036s) 2022-12-01T10:57:28.6088363Z test_clamp_propagates_nans_cpu (__main__.TestShapeOpsCPU) ... ok (0.065s) 2022-12-01T10:57:28.6089012Z test_clamp_raises_arg_errors_cpu (__main__.TestShapeOpsCPU) ... ok (0.022s) 2022-12-01T10:57:28.6089392Z test_complex_rot90_cpu_complex128 (__main__.TestShapeOpsCPU) ... skip: TorchDynamo fails with an unknown error (0.002s) 2022-12-01T10:57:28.6089786Z test_complex_rot90_cpu_complex64 (__main__.TestShapeOpsCPU) ... skip: TorchDynamo fails with an unknown error (0.001s) 2022-12-01T10:57:28.6090109Z test_diag_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6090387Z test_diag_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.008s) 2022-12-01T10:57:28.6090672Z test_diagonal_cpu (__main__.TestShapeOpsCPU) ... ok (0.016s) 2022-12-01T10:57:28.6091867Z test_diagonal_multidim_cpu_float32 (__main__.TestShapeOpsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-12-01T10:57:28.6092644Z return torch.as_tensor(tensor_like) 2022-12-01T10:57:28.6092836Z ok (0.014s) 2022-12-01T10:57:28.6093048Z test_flip_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.198s) 2022-12-01T10:57:28.6093324Z test_flip_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.017s) 2022-12-01T10:57:28.6093605Z test_flip_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.020s) 2022-12-01T10:57:28.6106003Z test_flip_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6106499Z test_flip_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.020s) 2022-12-01T10:57:28.6106936Z test_flip_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.049s) 2022-12-01T10:57:28.6107315Z test_flip_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.019s) 2022-12-01T10:57:28.6107593Z test_flip_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.017s) 2022-12-01T10:57:28.6107864Z test_flip_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.011s) 2022-12-01T10:57:28.6108176Z test_flip_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6108442Z test_flip_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.011s) 2022-12-01T10:57:28.6108709Z test_flip_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.011s) 2022-12-01T10:57:28.6109534Z test_flip_errors_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 449 2022-12-01T10:57:28.6109964Z due to: 2022-12-01T10:57:28.6110138Z Traceback (most recent call last): 2022-12-01T10:57:28.6110554Z File "/opt/conda/lib/python3.7/site-packages/torch/_prims_common/__init__.py", line 1415, in validate_no_repeating_dims 2022-12-01T10:57:28.6110886Z raise RuntimeError("duplicate value in the list of dims") 2022-12-01T10:57:28.6111433Z RuntimeError: duplicate value in the list of dims 2022-12-01T10:57:28.6111591Z 2022-12-01T10:57:28.6111766Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:28.6112073Z 2022-12-01T10:57:28.6112218Z Traceback (most recent call last): 2022-12-01T10:57:28.6112637Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:28.6113001Z raise TorchRuntimeError() from e 2022-12-01T10:57:28.6113239Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:28.6113382Z 2022-12-01T10:57:28.6113454Z from user code: 2022-12-01T10:57:28.6113733Z File "test_shape_ops.py", line 449, in 2022-12-01T10:57:28.6113990Z self.assertRaises(RuntimeError, lambda: data.flip(0, 1, 1)) 2022-12-01T10:57:28.6114153Z 2022-12-01T10:57:28.6114284Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6114503Z ========== 2022-12-01T10:57:28.6114826Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 451 2022-12-01T10:57:28.6115108Z due to: 2022-12-01T10:57:28.6115368Z Traceback (most recent call last): 2022-12-01T10:57:28.6115790Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:57:28.6116252Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:57:28.6116702Z TypeError: flip() missing 1 required positional arguments: "dims" 2022-12-01T10:57:28.6116955Z 2022-12-01T10:57:28.6117060Z from user code: 2022-12-01T10:57:28.6117378Z File "test_shape_ops.py", line 451, in 2022-12-01T10:57:28.6117822Z self.assertRaises(TypeError, lambda: data.flip()) 2022-12-01T10:57:28.6118100Z 2022-12-01T10:57:28.6118333Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6118558Z ========== 2022-12-01T10:57:28.6119027Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 454 2022-12-01T10:57:28.6119368Z due to: 2022-12-01T10:57:28.6119683Z Traceback (most recent call last): 2022-12-01T10:57:28.6120351Z File "/opt/conda/lib/python3.7/site-packages/torch/_prims_common/__init__.py", line 478, in canonicalize_dim 2022-12-01T10:57:28.6120871Z raise IndexError(msg) 2022-12-01T10:57:28.6121463Z IndexError: Dimension out of range (expected to be in range of [-3, 2], but got 3) 2022-12-01T10:57:28.6121757Z 2022-12-01T10:57:28.6121884Z from user code: 2022-12-01T10:57:28.6122247Z File "test_shape_ops.py", line 454, in 2022-12-01T10:57:28.6122645Z self.assertRaises(IndexError, lambda: data.flip(0, 1, 2, 3)) 2022-12-01T10:57:28.6122893Z 2022-12-01T10:57:28.6123091Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6123442Z ========== 2022-12-01T10:57:28.6124059Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 455 2022-12-01T10:57:28.6124457Z due to: 2022-12-01T10:57:28.6124730Z Traceback (most recent call last): 2022-12-01T10:57:28.6125451Z File "/opt/conda/lib/python3.7/site-packages/torch/_prims_common/__init__.py", line 478, in canonicalize_dim 2022-12-01T10:57:28.6125900Z raise IndexError(msg) 2022-12-01T10:57:28.6126226Z IndexError: Dimension out of range (expected to be in range of [-3, 2], but got 3) 2022-12-01T10:57:28.6126386Z 2022-12-01T10:57:28.6126455Z from user code: 2022-12-01T10:57:28.6126743Z File "test_shape_ops.py", line 455, in 2022-12-01T10:57:28.6127174Z self.assertRaises(IndexError, lambda: data.flip(3)) 2022-12-01T10:57:28.6127337Z 2022-12-01T10:57:28.6127455Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6127673Z ========== 2022-12-01T10:57:28.6127839Z ok (0.017s) 2022-12-01T10:57:28.6128056Z test_flip_errors_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6128357Z test_flip_errors_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6128717Z test_flip_errors_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6129341Z test_flip_errors_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6129853Z test_flip_errors_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6130337Z test_flip_errors_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6130802Z test_flip_errors_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6131245Z test_flip_errors_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6131701Z test_flip_errors_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6132256Z test_flip_errors_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6132760Z test_flip_errors_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6133314Z test_flip_large_tensor_cpu (__main__.TestShapeOpsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:57:28.6133900Z test_flip_numpy_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.054s) 2022-12-01T10:57:28.6134436Z test_flip_numpy_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.007s) 2022-12-01T10:57:28.6134951Z test_flip_numpy_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.009s) 2022-12-01T10:57:28.6135487Z test_flip_numpy_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.009s) 2022-12-01T10:57:28.6135934Z test_flip_numpy_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6136269Z test_flip_numpy_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6136558Z test_flip_numpy_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.008s) 2022-12-01T10:57:28.6136842Z test_flip_numpy_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.007s) 2022-12-01T10:57:28.6137120Z test_flip_numpy_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-12-01T10:57:28.6137388Z test_flip_numpy_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.004s) 2022-12-01T10:57:28.6137668Z test_flip_numpy_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.004s) 2022-12-01T10:57:28.6137950Z test_flip_numpy_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.004s) 2022-12-01T10:57:28.6138451Z test_fliplr_cpu_complex128 (__main__.TestShapeOpsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fliplr test_shape_ops.py line 497 2022-12-01T10:57:28.6138754Z due to: 2022-12-01T10:57:28.6138937Z Traceback (most recent call last): 2022-12-01T10:57:28.6139220Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:28.6139497Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:28.6139966Z TypeError: randn() received an invalid combination of arguments - got (FakeTensor, FakeTensor, dtype=torch.dtype, device=str), but expected one of: 2022-12-01T10:57:28.6140452Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6140951Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6141391Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6141821Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6142054Z 2022-12-01T10:57:28.6142058Z 2022-12-01T10:57:28.6142128Z from user code: 2022-12-01T10:57:28.6142340Z File "test_shape_ops.py", line 499, in test_fliplr 2022-12-01T10:57:28.6142605Z self._test_fliplr_flipud(torch.fliplr, np.fliplr, 2, 4, device, dtype) 2022-12-01T10:57:28.6142772Z 2022-12-01T10:57:28.6142905Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6143123Z ========== 2022-12-01T10:57:28.6143449Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_fliplr_flipud test_shape_ops.py line 487 2022-12-01T10:57:28.6143754Z due to: 2022-12-01T10:57:28.6143936Z Traceback (most recent call last): 2022-12-01T10:57:28.6144203Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:28.6144487Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:28.6144949Z TypeError: randn() received an invalid combination of arguments - got (FakeTensor, FakeTensor, dtype=torch.dtype, device=str), but expected one of: 2022-12-01T10:57:28.6145466Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6145948Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6146397Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6146957Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6147190Z 2022-12-01T10:57:28.6147194Z 2022-12-01T10:57:28.6147264Z from user code: 2022-12-01T10:57:28.6147473Z File "test_shape_ops.py", line 492, in _test_fliplr_flipud 2022-12-01T10:57:28.6147739Z data = torch.randn(*shape, device=device, dtype=dtype) 2022-12-01T10:57:28.6147890Z 2022-12-01T10:57:28.6148022Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6148238Z ========== 2022-12-01T10:57:28.6148384Z ok (0.021s) 2022-12-01T10:57:28.6148610Z test_fliplr_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-12-01T10:57:28.6148890Z test_fliplr_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-12-01T10:57:28.6149171Z test_fliplr_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.014s) 2022-12-01T10:57:28.6149477Z test_fliplr_invalid_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.013s) 2022-12-01T10:57:28.6149769Z test_fliplr_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.013s) 2022-12-01T10:57:28.6150259Z test_flipud_cpu_complex128 (__main__.TestShapeOpsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_flipud test_shape_ops.py line 509 2022-12-01T10:57:28.6150560Z due to: 2022-12-01T10:57:28.6150742Z Traceback (most recent call last): 2022-12-01T10:57:28.6151021Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:28.6151292Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:28.6151738Z TypeError: randn() received an invalid combination of arguments - got (FakeTensor, dtype=torch.dtype, device=str), but expected one of: 2022-12-01T10:57:28.6152208Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6152683Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6153124Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6153558Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:28.6153794Z 2022-12-01T10:57:28.6153798Z 2022-12-01T10:57:28.6153868Z from user code: 2022-12-01T10:57:28.6154080Z File "test_shape_ops.py", line 511, in test_flipud 2022-12-01T10:57:28.6154345Z self._test_fliplr_flipud(torch.flipud, np.flipud, 1, 4, device, dtype) 2022-12-01T10:57:28.6154617Z 2022-12-01T10:57:28.6154784Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6155040Z ========== 2022-12-01T10:57:28.6155197Z ok (0.013s) 2022-12-01T10:57:28.6155478Z test_flipud_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-12-01T10:57:28.6155747Z test_flipud_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-12-01T10:57:28.6156046Z test_flipud_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.007s) 2022-12-01T10:57:28.6156351Z test_flipud_invalid_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-12-01T10:57:28.6156635Z test_flipud_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-12-01T10:57:28.6156926Z test_movedim_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.147s) 2022-12-01T10:57:28.6157245Z test_movedim_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.109s) 2022-12-01T10:57:28.6157516Z test_movedim_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.028s) 2022-12-01T10:57:28.6157806Z test_movedim_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.064s) 2022-12-01T10:57:28.6158108Z test_movedim_invalid_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.059s) 2022-12-01T10:57:28.6158402Z test_movedim_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.059s) 2022-12-01T10:57:28.6159138Z test_nonzero_astuple_out_cpu (__main__.TestShapeOpsCPU) ... test_shape_ops.py:629: UserWarning: An output with one or more elements was resized since it had shape [3, 3, 3], which does not match the required output shape [27, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6159875Z self.assertEqual(torch.nonzero(t, as_tuple=False, out=out), torch.nonzero(t, out=out)) 2022-12-01T10:57:28.6160118Z ok (0.061s) 2022-12-01T10:57:28.6160788Z test_nonzero_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6161444Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6162088Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6162692Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6163321Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [6, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6163910Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6164541Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [6, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6165153Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6165783Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6166363Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6167221Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [60, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6167836Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6168019Z ok (0.084s) 2022-12-01T10:57:28.6168684Z test_nonzero_cpu_bool (__main__.TestShapeOpsCPU) ... test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6169329Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6169959Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6170545Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6171178Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [6, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6171767Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6172393Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6172975Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6173609Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [60, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6174222Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6174405Z ok (0.036s) 2022-12-01T10:57:28.6175067Z test_nonzero_cpu_float16 (__main__.TestShapeOpsCPU) ... test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6175737Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6176365Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:57:28.6176967Z torch.nonzero(tensor, out=dst3) 2022-12-01T10:57:28.6177137Z ok (0.021s) 2022-12-01T10:57:28.6177362Z test_nonzero_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6177643Z test_nonzero_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6177905Z test_nonzero_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6178183Z test_nonzero_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6178461Z test_nonzero_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6178720Z test_nonzero_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6178993Z test_nonzero_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.021s) 2022-12-01T10:57:28.6179554Z test_nonzero_discontiguous_cpu (__main__.TestShapeOpsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 660 2022-12-01T10:57:28.6179891Z due to: 2022-12-01T10:57:28.6180061Z Traceback (most recent call last): 2022-12-01T10:57:28.6180337Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:28.6180768Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:28.6181154Z AssertionError: torch.* op returned non-Tensor int call_method data_ptr 2022-12-01T10:57:28.6181325Z 2022-12-01T10:57:28.6181398Z from user code: 2022-12-01T10:57:28.6181645Z File "test_shape_ops.py", line 662, in 2022-12-01T10:57:28.6181895Z data_ptr = dst3.data_ptr() 2022-12-01T10:57:28.6182001Z 2022-12-01T10:57:28.6182132Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6182353Z ========== 2022-12-01T10:57:28.6182509Z ok (0.034s) 2022-12-01T10:57:28.6182726Z test_nonzero_no_warning_cpu (__main__.TestShapeOpsCPU) ... ok (0.598s) 2022-12-01T10:57:28.6183016Z test_nonzero_non_diff_cpu (__main__.TestShapeOpsCPU) ... ok (0.010s) 2022-12-01T10:57:28.6183479Z test_rot90_cpu (__main__.TestShapeOpsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 537 2022-12-01T10:57:28.6183750Z due to: 2022-12-01T10:57:28.6183930Z Traceback (most recent call last): 2022-12-01T10:57:28.6184271Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:28.6184529Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:28.6184794Z RuntimeError: Rotation dim1 out of range, dim1 = -3 2022-12-01T10:57:28.6184939Z 2022-12-01T10:57:28.6185075Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:28.6185238Z 2022-12-01T10:57:28.6185328Z Traceback (most recent call last): 2022-12-01T10:57:28.6185629Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:28.6185898Z raise TorchRuntimeError() from e 2022-12-01T10:57:28.6186130Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:28.6186270Z 2022-12-01T10:57:28.6186329Z from user code: 2022-12-01T10:57:28.6186531Z File "test_shape_ops.py", line 537, in 2022-12-01T10:57:28.6186857Z self.assertRaises(RuntimeError, lambda: data.rot90(1, [0, -3])) 2022-12-01T10:57:28.6187019Z 2022-12-01T10:57:28.6187151Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6187357Z ========== 2022-12-01T10:57:28.6187718Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 538 2022-12-01T10:57:28.6187966Z due to: 2022-12-01T10:57:28.6188135Z Traceback (most recent call last): 2022-12-01T10:57:28.6188471Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:28.6188740Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:28.6189004Z RuntimeError: expected rotation dims to be different, but got dim0 = 0 and dim1 = 2 2022-12-01T10:57:28.6189179Z 2022-12-01T10:57:28.6189315Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:28.6189478Z 2022-12-01T10:57:28.6189568Z Traceback (most recent call last): 2022-12-01T10:57:28.6189844Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:28.6190103Z raise TorchRuntimeError() from e 2022-12-01T10:57:28.6190336Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:28.6190477Z 2022-12-01T10:57:28.6190550Z from user code: 2022-12-01T10:57:28.6190744Z File "test_shape_ops.py", line 538, in 2022-12-01T10:57:28.6191011Z self.assertRaises(RuntimeError, lambda: data.rot90(1, [0, 2])) 2022-12-01T10:57:28.6191170Z 2022-12-01T10:57:28.6191303Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6191508Z ========== 2022-12-01T10:57:28.6191826Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 546 2022-12-01T10:57:28.6192073Z due to: 2022-12-01T10:57:28.6192251Z Traceback (most recent call last): 2022-12-01T10:57:28.6192575Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:28.6192845Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:28.6193117Z RuntimeError: expected rotation dims to be different, but got dim0 = 0 and dim1 = 3 2022-12-01T10:57:28.6193294Z 2022-12-01T10:57:28.6193420Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:28.6193584Z 2022-12-01T10:57:28.6193677Z Traceback (most recent call last): 2022-12-01T10:57:28.6193951Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:28.6194222Z raise TorchRuntimeError() from e 2022-12-01T10:57:28.6194440Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:28.6194581Z 2022-12-01T10:57:28.6194653Z from user code: 2022-12-01T10:57:28.6194856Z File "test_shape_ops.py", line 546, in 2022-12-01T10:57:28.6195105Z self.assertRaises(RuntimeError, lambda: data.rot90(1, [0, 3])) 2022-12-01T10:57:28.6195264Z 2022-12-01T10:57:28.6195393Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6195609Z ========== 2022-12-01T10:57:28.6195912Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 547 2022-12-01T10:57:28.6196156Z due to: 2022-12-01T10:57:28.6196338Z Traceback (most recent call last): 2022-12-01T10:57:28.6196662Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:28.6196930Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:28.6197202Z RuntimeError: expected rotation dims to be different, but got dim0 = 1 and dim1 = 1 2022-12-01T10:57:28.6197379Z 2022-12-01T10:57:28.6197512Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:28.6197711Z 2022-12-01T10:57:28.6197789Z Traceback (most recent call last): 2022-12-01T10:57:28.6198059Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:28.6198329Z raise TorchRuntimeError() from e 2022-12-01T10:57:28.6198595Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:28.6198735Z 2022-12-01T10:57:28.6198803Z from user code: 2022-12-01T10:57:28.6199004Z File "test_shape_ops.py", line 547, in 2022-12-01T10:57:28.6199271Z self.assertRaises(RuntimeError, lambda: data.rot90(1, [1, 1])) 2022-12-01T10:57:28.6199417Z 2022-12-01T10:57:28.6199575Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6199791Z ========== 2022-12-01T10:57:28.6200104Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 548 2022-12-01T10:57:28.6200334Z due to: 2022-12-01T10:57:28.6200512Z Traceback (most recent call last): 2022-12-01T10:57:28.6200843Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:28.6201097Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:28.6201344Z RuntimeError: expected total rotation dims == 2, but got dims = 3 2022-12-01T10:57:28.6201499Z 2022-12-01T10:57:28.6201632Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:28.6201794Z 2022-12-01T10:57:28.6201881Z Traceback (most recent call last): 2022-12-01T10:57:28.6202141Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:28.6202408Z raise TorchRuntimeError() from e 2022-12-01T10:57:28.6202635Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:28.6202775Z 2022-12-01T10:57:28.6202833Z from user code: 2022-12-01T10:57:28.6203034Z File "test_shape_ops.py", line 548, in 2022-12-01T10:57:28.6203294Z self.assertRaises(RuntimeError, lambda: data.rot90(1, [0, 1, 2])) 2022-12-01T10:57:28.6203454Z 2022-12-01T10:57:28.6203574Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6203789Z ========== 2022-12-01T10:57:28.6204104Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 549 2022-12-01T10:57:28.6204345Z due to: 2022-12-01T10:57:28.6204515Z Traceback (most recent call last): 2022-12-01T10:57:28.6204856Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:28.6205113Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:28.6205367Z RuntimeError: expected total rotation dims == 2, but got dims = 1 2022-12-01T10:57:28.6205522Z 2022-12-01T10:57:28.6205661Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:28.6205824Z 2022-12-01T10:57:28.6205930Z Traceback (most recent call last): 2022-12-01T10:57:28.6206194Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:28.6206468Z raise TorchRuntimeError() from e 2022-12-01T10:57:28.6206904Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:28.6207204Z 2022-12-01T10:57:28.6207266Z from user code: 2022-12-01T10:57:28.6207476Z File "test_shape_ops.py", line 549, in 2022-12-01T10:57:28.6207745Z self.assertRaises(RuntimeError, lambda: data.rot90(1, [0])) 2022-12-01T10:57:28.6207905Z 2022-12-01T10:57:28.6208022Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6208243Z ========== 2022-12-01T10:57:28.6208403Z ok (0.325s) 2022-12-01T10:57:28.6208671Z test_tolist_cpu (__main__.TestShapeOpsCPU) ... skip: TorchDynamo fails with an unknown error (0.002s) 2022-12-01T10:57:28.6209198Z test_trace_cpu_float32 (__main__.TestShapeOpsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shape_ops.py line 235 2022-12-01T10:57:28.6209500Z due to: 2022-12-01T10:57:28.6209678Z Traceback (most recent call last): 2022-12-01T10:57:28.6209942Z File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const 2022-12-01T10:57:28.6210323Z assert is_safe_constant(value), f"unsafe constant {value}" 2022-12-01T10:57:28.6210582Z AssertionError: unsafe constant torch.float32 2022-12-01T10:57:28.6210728Z 2022-12-01T10:57:28.6210784Z from user code: 2022-12-01T10:57:28.6211011Z File "test_shape_ops.py", line 239, in 2022-12-01T10:57:28.6211284Z result = np.trace(tensor.cpu().numpy(), dtype=expected_dtype) 2022-12-01T10:57:28.6211442Z 2022-12-01T10:57:28.6211574Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:28.6211778Z ========== 2022-12-01T10:57:28.6211938Z ok (0.023s) 2022-12-01T10:57:28.6212201Z test_trace_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.011s) 2022-12-01T10:57:28.6212473Z test_trace_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-12-01T10:57:28.6212763Z test_trace_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-12-01T10:57:28.6213032Z test_trace_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-12-01T10:57:28.6213294Z test_trace_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-12-01T10:57:28.6213570Z test_trace_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-12-01T10:57:28.6213838Z test_unbind_cpu (__main__.TestShapeOpsCPU) ... ok (0.022s) 2022-12-01T10:57:28.6213986Z 2022-12-01T10:57:28.6214190Z ---------------------------------------------------------------------- 2022-12-01T10:57:28.6214422Z Ran 89 tests in 3.068s 2022-12-01T10:57:28.6214535Z 2022-12-01T10:57:28.6214607Z OK (skipped=4) 2022-12-01T10:57:28.6214712Z 2022-12-01T10:57:28.6214796Z Generating XML reports... 2022-12-01T10:57:28.6215190Z Generated XML report: test-reports/python-unittest/test_shape_ops/TEST-TestShapeOpsCPU-20221201105725.xml 2022-12-01T10:57:28.6215419Z 2022-12-01T10:57:28.6215754Z ##[endgroup] 2022-12-01T10:57:28.6216131Z FINISHED PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_yy_sdc7c) 2022-12-01T10:57:28.6216344Z 2022-12-01T10:57:28.6216511Z Running test_nestedtensor ... [2022-12-01 10:57:28.607193] 2022-12-01T10:57:28.6216977Z Executing ['/opt/conda/bin/python', '-bb', 'test_nestedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:28.607500] 2022-12-01T10:57:32.3576336Z 2022-12-01T10:57:32.3576900Z Expand the folded group to see the log file of test_nestedtensor 2022-12-01T10:57:32.3577967Z ##[group]PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_udvv2qqm) 2022-12-01T10:57:32.3578863Z Test results will be stored in test-reports/python-unittest/test_nestedtensor 2022-12-01T10:57:32.3579160Z 2022-12-01T10:57:32.3579268Z Running tests... 2022-12-01T10:57:32.3579852Z ---------------------------------------------------------------------- 2022-12-01T10:57:32.3580762Z test_activations (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_activations test_nestedtensor.py line 277 2022-12-01T10:57:32.3581278Z due to: 2022-12-01T10:57:32.3581567Z Traceback (most recent call last): 2022-12-01T10:57:32.3582188Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3582754Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3583246Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3583542Z 2022-12-01T10:57:32.3583671Z from user code: 2022-12-01T10:57:32.3584075Z File "test_nestedtensor.py", line 281, in test_activations 2022-12-01T10:57:32.3584486Z nt = torch.nested.nested_tensor([t]) 2022-12-01T10:57:32.3584732Z 2022-12-01T10:57:32.3584980Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3585303Z ========== 2022-12-01T10:57:32.3586303Z /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:47: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:177.) 2022-12-01T10:57:32.3587402Z nt = torch._nested_tensor_from_tensor_list(new_data, dtype, None, device, pin_memory) 2022-12-01T10:57:32.3587817Z ok (0.015s) 2022-12-01T10:57:32.3588527Z test_default_nested_tensor (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 144 2022-12-01T10:57:32.3589083Z due to: 2022-12-01T10:57:32.3589397Z Traceback (most recent call last): 2022-12-01T10:57:32.3589911Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:32.3590389Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:32.3591051Z TypeError: nested_tensor() missing 1 required positional argument: 'tensor_list' 2022-12-01T10:57:32.3591382Z 2022-12-01T10:57:32.3591779Z from user code: 2022-12-01T10:57:32.3592146Z File "test_nestedtensor.py", line 144, in 2022-12-01T10:57:32.3592647Z self.assertRaises(TypeError, lambda: torch.nested.nested_tensor()) 2022-12-01T10:57:32.3592966Z 2022-12-01T10:57:32.3593189Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3593566Z ========== 2022-12-01T10:57:32.3594257Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 144 2022-12-01T10:57:32.3594754Z due to: 2022-12-01T10:57:32.3595068Z Traceback (most recent call last): 2022-12-01T10:57:32.3595682Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3596245Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3596732Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3597029Z 2022-12-01T10:57:32.3597156Z from user code: 2022-12-01T10:57:32.3597609Z File "test_nestedtensor.py", line 145, in 2022-12-01T10:57:32.3598132Z default_nested_tensor = torch.nested.nested_tensor([]) 2022-12-01T10:57:32.3598413Z 2022-12-01T10:57:32.3598625Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3598975Z ========== 2022-12-01T10:57:32.3599224Z ok (0.096s) 2022-12-01T10:57:32.3599877Z test_dim (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_dim test_nestedtensor.py line 162 2022-12-01T10:57:32.3600332Z due to: 2022-12-01T10:57:32.3600661Z Traceback (most recent call last): 2022-12-01T10:57:32.3601277Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3601773Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3602225Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3602504Z 2022-12-01T10:57:32.3602614Z from user code: 2022-12-01T10:57:32.3602996Z File "test_nestedtensor.py", line 165, in test_dim 2022-12-01T10:57:32.3603385Z a1 = constructor([]) 2022-12-01T10:57:32.3603588Z 2022-12-01T10:57:32.3603783Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3604136Z ========== 2022-12-01T10:57:32.3604395Z ok (0.003s) 2022-12-01T10:57:32.3605176Z test_is_contiguous (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_is_contiguous test_nestedtensor.py line 240 2022-12-01T10:57:32.3605725Z due to: 2022-12-01T10:57:32.3606051Z Traceback (most recent call last): 2022-12-01T10:57:32.3606787Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3607482Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3607913Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3608175Z 2022-12-01T10:57:32.3608290Z from user code: 2022-12-01T10:57:32.3608638Z File "test_nestedtensor.py", line 244, in test_is_contiguous 2022-12-01T10:57:32.3609046Z nt_empty = torch.nested.nested_tensor([]) 2022-12-01T10:57:32.3609276Z 2022-12-01T10:57:32.3609516Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3610047Z ========== 2022-12-01T10:57:32.3610700Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT random_nt_noncontiguous_pair test_nestedtensor.py line 27 2022-12-01T10:57:32.3611171Z due to: 2022-12-01T10:57:32.3611454Z Traceback (most recent call last): 2022-12-01T10:57:32.3612089Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3612620Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3613057Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3613317Z 2022-12-01T10:57:32.3613500Z from user code: 2022-12-01T10:57:32.3613942Z File "test_nestedtensor.py", line 35, in random_nt_noncontiguous_pair 2022-12-01T10:57:32.3614443Z nt_contiguous = torch.nested.nested_tensor(ys) 2022-12-01T10:57:32.3614693Z 2022-12-01T10:57:32.3614929Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3615278Z ========== 2022-12-01T10:57:32.3615532Z ok (0.017s) 2022-12-01T10:57:32.3616256Z test_nested_namespace (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_namespace test_nestedtensor.py line 292 2022-12-01T10:57:32.3616750Z due to: 2022-12-01T10:57:32.3617060Z Traceback (most recent call last): 2022-12-01T10:57:32.3617721Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3618229Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3618733Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3619034Z 2022-12-01T10:57:32.3619151Z from user code: 2022-12-01T10:57:32.3619518Z File "test_nestedtensor.py", line 293, in test_nested_namespace 2022-12-01T10:57:32.3619987Z nt = torch.nested.nested_tensor([torch.randn(2, 3), torch.randn(4, 5)]) 2022-12-01T10:57:32.3620281Z 2022-12-01T10:57:32.3620483Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3620859Z ========== 2022-12-01T10:57:32.3621094Z ok (0.005s) 2022-12-01T10:57:32.3621792Z test_nested_tensor (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 123 2022-12-01T10:57:32.3622331Z due to: 2022-12-01T10:57:32.3622649Z Traceback (most recent call last): 2022-12-01T10:57:32.3623300Z File "/opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py", line 45, in nested_tensor 2022-12-01T10:57:32.3623829Z raise TypeError("nested_tensor(): Expected first argument to be a list of tensors ") 2022-12-01T10:57:32.3624402Z TypeError: nested_tensor(): Expected first argument to be a list of tensors 2022-12-01T10:57:32.3624708Z 2022-12-01T10:57:32.3624820Z from user code: 2022-12-01T10:57:32.3625206Z File "test_nestedtensor.py", line 123, in 2022-12-01T10:57:32.3625725Z self.assertRaises(TypeError, lambda: torch.nested.nested_tensor([3.0])) 2022-12-01T10:57:32.3626055Z 2022-12-01T10:57:32.3626277Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3626663Z ========== 2022-12-01T10:57:32.3627226Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 124 2022-12-01T10:57:32.3627573Z due to: 2022-12-01T10:57:32.3627765Z Traceback (most recent call last): 2022-12-01T10:57:32.3628313Z File "/opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py", line 45, in nested_tensor 2022-12-01T10:57:32.3628765Z raise TypeError("nested_tensor(): Expected first argument to be a list of tensors ") 2022-12-01T10:57:32.3629200Z TypeError: nested_tensor(): Expected first argument to be a list of tensors 2022-12-01T10:57:32.3629447Z 2022-12-01T10:57:32.3629554Z from user code: 2022-12-01T10:57:32.3629904Z File "test_nestedtensor.py", line 124, in 2022-12-01T10:57:32.3630298Z self.assertRaises(TypeError, lambda: torch.nested.nested_tensor(torch.tensor([3.0]))) 2022-12-01T10:57:32.3630601Z 2022-12-01T10:57:32.3630837Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3631137Z ========== 2022-12-01T10:57:32.3631616Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 125 2022-12-01T10:57:32.3631966Z due to: 2022-12-01T10:57:32.3632244Z Traceback (most recent call last): 2022-12-01T10:57:32.3632784Z File "/opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py", line 45, in nested_tensor 2022-12-01T10:57:32.3633297Z raise TypeError("nested_tensor(): Expected first argument to be a list of tensors ") 2022-12-01T10:57:32.3633857Z TypeError: nested_tensor(): Expected first argument to be a list of tensors 2022-12-01T10:57:32.3634125Z 2022-12-01T10:57:32.3634236Z from user code: 2022-12-01T10:57:32.3634556Z File "test_nestedtensor.py", line 125, in 2022-12-01T10:57:32.3634952Z self.assertRaises(TypeError, lambda: torch.nested.nested_tensor(4.0)) 2022-12-01T10:57:32.3635201Z 2022-12-01T10:57:32.3635410Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3635753Z ========== 2022-12-01T10:57:32.3636019Z ok (0.005s) 2022-12-01T10:57:32.3636816Z test_nested_tensor_matching_dim (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 132 2022-12-01T10:57:32.3637325Z due to: 2022-12-01T10:57:32.3637588Z Traceback (most recent call last): 2022-12-01T10:57:32.3638139Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3638615Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3639052Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3639286Z 2022-12-01T10:57:32.3639394Z from user code: 2022-12-01T10:57:32.3639703Z File "test_nestedtensor.py", line 132, in 2022-12-01T10:57:32.3640117Z lambda: torch.nested.nested_tensor([torch.tensor(1.0), torch.tensor([])]), 2022-12-01T10:57:32.3640390Z 2022-12-01T10:57:32.3640569Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3640903Z ========== 2022-12-01T10:57:32.3641460Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 137 2022-12-01T10:57:32.3641835Z due to: 2022-12-01T10:57:32.3642097Z Traceback (most recent call last): 2022-12-01T10:57:32.3642659Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3643109Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3643539Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3643852Z 2022-12-01T10:57:32.3643982Z from user code: 2022-12-01T10:57:32.3644313Z File "test_nestedtensor.py", line 138, in 2022-12-01T10:57:32.3644688Z [torch.tensor(1.0), torch.tensor(2.0), torch.tensor([])] 2022-12-01T10:57:32.3644916Z 2022-12-01T10:57:32.3645132Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3645521Z ========== 2022-12-01T10:57:32.3645756Z ok (0.016s) 2022-12-01T10:57:32.3646427Z test_numel (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_numel test_nestedtensor.py line 172 2022-12-01T10:57:32.3647108Z due to: 2022-12-01T10:57:32.3647401Z Traceback (most recent call last): 2022-12-01T10:57:32.3647957Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3648412Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3648916Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3649200Z 2022-12-01T10:57:32.3649300Z from user code: 2022-12-01T10:57:32.3649657Z File "test_nestedtensor.py", line 176, in test_numel 2022-12-01T10:57:32.3650048Z a1 = constructor([]) 2022-12-01T10:57:32.3650263Z 2022-12-01T10:57:32.3650499Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3650876Z ========== 2022-12-01T10:57:32.3651284Z ok (0.005s) 2022-12-01T10:57:32.3652082Z test_repr_string (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_repr_string test_nestedtensor.py line 258 2022-12-01T10:57:32.3652600Z due to: 2022-12-01T10:57:32.3652886Z Traceback (most recent call last): 2022-12-01T10:57:32.3653276Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3653610Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3653886Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3654050Z 2022-12-01T10:57:32.3654176Z from user code: 2022-12-01T10:57:32.3654388Z File "test_nestedtensor.py", line 260, in test_repr_string 2022-12-01T10:57:32.3654629Z a = torch.nested.nested_tensor([]) 2022-12-01T10:57:32.3654761Z 2022-12-01T10:57:32.3654892Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3655107Z ========== 2022-12-01T10:57:32.3655256Z ok (0.004s) 2022-12-01T10:57:32.3655661Z test_size (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 202 2022-12-01T10:57:32.3655954Z due to: 2022-12-01T10:57:32.3656123Z Traceback (most recent call last): 2022-12-01T10:57:32.3656510Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3656851Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3657184Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3657392Z 2022-12-01T10:57:32.3657526Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3657689Z 2022-12-01T10:57:32.3657779Z Traceback (most recent call last): 2022-12-01T10:57:32.3658055Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3658285Z ) from e 2022-12-01T10:57:32.3658613Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3658868Z 2022-12-01T10:57:32.3658999Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3659214Z ========== 2022-12-01T10:57:32.3659360Z ok (0.003s) 2022-12-01T10:57:32.3659771Z test_size_dim (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_size_dim test_nestedtensor.py line 205 2022-12-01T10:57:32.3660067Z due to: 2022-12-01T10:57:32.3660239Z Traceback (most recent call last): 2022-12-01T10:57:32.3660607Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3660915Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3661178Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3661340Z 2022-12-01T10:57:32.3661414Z from user code: 2022-12-01T10:57:32.3661633Z File "test_nestedtensor.py", line 206, in test_size_dim 2022-12-01T10:57:32.3661858Z a = torch.nested.nested_tensor([]) 2022-12-01T10:57:32.3661989Z 2022-12-01T10:57:32.3662119Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3662336Z ========== 2022-12-01T10:57:32.3662662Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 220 2022-12-01T10:57:32.3662899Z due to: 2022-12-01T10:57:32.3663081Z Traceback (most recent call last): 2022-12-01T10:57:32.3663474Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3663809Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3664156Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3664360Z 2022-12-01T10:57:32.3664495Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3664696Z 2022-12-01T10:57:32.3664788Z Traceback (most recent call last): 2022-12-01T10:57:32.3665052Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3679935Z ) from e 2022-12-01T10:57:32.3680312Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3680581Z 2022-12-01T10:57:32.3680717Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3680943Z ========== 2022-12-01T10:57:32.3681394Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 226 2022-12-01T10:57:32.3681651Z due to: 2022-12-01T10:57:32.3681833Z Traceback (most recent call last): 2022-12-01T10:57:32.3682214Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3682560Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3682915Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3683123Z 2022-12-01T10:57:32.3683261Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3683414Z 2022-12-01T10:57:32.3683506Z Traceback (most recent call last): 2022-12-01T10:57:32.3683784Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3684027Z ) from e 2022-12-01T10:57:32.3684343Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3684602Z 2022-12-01T10:57:32.3684734Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3684951Z ========== 2022-12-01T10:57:32.3685109Z ok (0.008s) 2022-12-01T10:57:32.3685503Z test_stride (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 237 2022-12-01T10:57:32.3685946Z due to: 2022-12-01T10:57:32.3686260Z Traceback (most recent call last): 2022-12-01T10:57:32.3686930Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3687634Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3688216Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3688532Z 2022-12-01T10:57:32.3688738Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3688989Z 2022-12-01T10:57:32.3689126Z Traceback (most recent call last): 2022-12-01T10:57:32.3689545Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3689941Z ) from e 2022-12-01T10:57:32.3690442Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3690877Z 2022-12-01T10:57:32.3691093Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3691474Z ========== 2022-12-01T10:57:32.3691694Z ok (0.003s) 2022-12-01T10:57:32.3692541Z test_to_padded_tensor_on_empty_tensor (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_padded_tensor_on_empty_tensor test_nestedtensor.py line 286 2022-12-01T10:57:32.3693133Z due to: 2022-12-01T10:57:32.3693448Z Traceback (most recent call last): 2022-12-01T10:57:32.3694059Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3694597Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3695045Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3695313Z 2022-12-01T10:57:32.3695400Z from user code: 2022-12-01T10:57:32.3695714Z File "test_nestedtensor.py", line 288, in test_to_padded_tensor_on_empty_tensor 2022-12-01T10:57:32.3696089Z nt = torch.nested.nested_tensor([]) 2022-12-01T10:57:32.3696225Z 2022-12-01T10:57:32.3696353Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3696557Z ========== 2022-12-01T10:57:32.3696712Z ok (0.002s) 2022-12-01T10:57:32.3697140Z test_unbind_0 (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_unbind_case test_nestedtensor.py line 67 2022-12-01T10:57:32.3697423Z due to: 2022-12-01T10:57:32.3697606Z Traceback (most recent call last): 2022-12-01T10:57:32.3697970Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3698304Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3698583Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3698743Z 2022-12-01T10:57:32.3698814Z from user code: 2022-12-01T10:57:32.3699036Z File "test_nestedtensor.py", line 69, in _test_unbind_case 2022-12-01T10:57:32.3699276Z nt = torch.nested.nested_tensor([a, b]) 2022-12-01T10:57:32.3699412Z 2022-12-01T10:57:32.3699545Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3699760Z ========== 2022-12-01T10:57:32.3699905Z ok (0.009s) 2022-12-01T10:57:32.3700118Z test_unbind_1 (__main__.TestNestedTensor) ... ok (0.006s) 2022-12-01T10:57:32.3700376Z test_unbind_3 (__main__.TestNestedTensor) ... ok (0.006s) 2022-12-01T10:57:32.3700615Z test_unbind_4 (__main__.TestNestedTensor) ... ok (0.006s) 2022-12-01T10:57:32.3701070Z test_unbind_dim (__main__.TestNestedTensor) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_fn test_nestedtensor.py line 109 2022-12-01T10:57:32.3701363Z due to: 2022-12-01T10:57:32.3701529Z Traceback (most recent call last): 2022-12-01T10:57:32.3701897Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3702200Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3702478Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3702627Z 2022-12-01T10:57:32.3702696Z from user code: 2022-12-01T10:57:32.3702906Z File "test_nestedtensor.py", line 112, in _test_fn 2022-12-01T10:57:32.3703147Z nt = torch.nested.nested_tensor([a, b]) 2022-12-01T10:57:32.3703284Z 2022-12-01T10:57:32.3703402Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3703622Z ========== 2022-12-01T10:57:32.3703944Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 113 2022-12-01T10:57:32.3704180Z due to: 2022-12-01T10:57:32.3704361Z Traceback (most recent call last): 2022-12-01T10:57:32.3704749Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3705097Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3705429Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3705637Z 2022-12-01T10:57:32.3705770Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3705931Z 2022-12-01T10:57:32.3706023Z Traceback (most recent call last): 2022-12-01T10:57:32.3706290Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3706531Z ) from e 2022-12-01T10:57:32.3706860Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3707112Z 2022-12-01T10:57:32.3707240Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3707445Z ========== 2022-12-01T10:57:32.3707767Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 117 2022-12-01T10:57:32.3708012Z due to: 2022-12-01T10:57:32.3708178Z Traceback (most recent call last): 2022-12-01T10:57:32.3708564Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3708970Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3709303Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3709509Z 2022-12-01T10:57:32.3709644Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3709808Z 2022-12-01T10:57:32.3709900Z Traceback (most recent call last): 2022-12-01T10:57:32.3710178Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3710409Z ) from e 2022-12-01T10:57:32.3710767Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3711023Z 2022-12-01T10:57:32.3711151Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3711368Z ========== 2022-12-01T10:57:32.3711510Z ok (0.008s) 2022-12-01T10:57:32.3712041Z test_as_nested_tensor_propagates_gradients (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_as_nested_tensor_propagates_gradients test_nestedtensor.py line 1385 2022-12-01T10:57:32.3712410Z due to: 2022-12-01T10:57:32.3712578Z Traceback (most recent call last): 2022-12-01T10:57:32.3712943Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3713250Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3713511Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3713674Z 2022-12-01T10:57:32.3713745Z from user code: 2022-12-01T10:57:32.3713995Z File "test_nestedtensor.py", line 1388, in test_as_nested_tensor_propagates_gradients 2022-12-01T10:57:32.3714272Z nt = torch.nested.as_nested_tensor([a, b]) 2022-12-01T10:57:32.3714396Z 2022-12-01T10:57:32.3714528Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3714746Z ========== 2022-12-01T10:57:32.3714904Z ok (0.006s) 2022-12-01T10:57:32.3715368Z test_backward_for_add_op (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _create_nested_tensor_from_mask test_nestedtensor.py line 1380 2022-12-01T10:57:32.3715703Z due to: 2022-12-01T10:57:32.3715885Z Traceback (most recent call last): 2022-12-01T10:57:32.3716209Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:32.3716475Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:32.3718446Z NotImplementedError: Could not run 'aten::_nested_tensor_from_mask' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_tensor_from_mask' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:57:32.3719620Z 2022-12-01T10:57:32.3719795Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:57:32.3720223Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:57:32.3720673Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:57:32.3721151Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:57:32.3721594Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:57:32.3722011Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:57:32.3722405Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3722828Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3723213Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:57:32.3723646Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:57:32.3724091Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3724500Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3724915Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3725330Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3725742Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3726140Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3726638Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3727186Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3727602Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3727995Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3728409Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3728822Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3729249Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3729675Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3730107Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3730545Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3730953Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:57:32.3731332Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:57:32.3731741Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:57:32.3732179Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:57:32.3732717Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:57:32.3733143Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:57:32.3733564Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:57:32.3734044Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:57:32.3734488Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:57:32.3734933Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:57:32.3735393Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:57:32.3735622Z 2022-12-01T10:57:32.3735628Z 2022-12-01T10:57:32.3735764Z During handling of the above exception, another exception occurred: 2022-12-01T10:57:32.3735929Z 2022-12-01T10:57:32.3736022Z Traceback (most recent call last): 2022-12-01T10:57:32.3736417Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3736765Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3737113Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3737318Z 2022-12-01T10:57:32.3737456Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3737620Z 2022-12-01T10:57:32.3737698Z Traceback (most recent call last): 2022-12-01T10:57:32.3737979Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3738220Z ) from e 2022-12-01T10:57:32.3738538Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3738791Z 2022-12-01T10:57:32.3738926Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3739089Z 2022-12-01T10:57:32.3739180Z Traceback (most recent call last): 2022-12-01T10:57:32.3739454Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:32.3739714Z raise TorchRuntimeError() from e 2022-12-01T10:57:32.3739948Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:32.3740090Z 2022-12-01T10:57:32.3740159Z from user code: 2022-12-01T10:57:32.3740383Z File "test_nestedtensor.py", line 1383, in _create_nested_tensor_from_mask 2022-12-01T10:57:32.3740656Z return torch._nested_tensor_from_mask(data, mask) 2022-12-01T10:57:32.3740801Z 2022-12-01T10:57:32.3740932Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3741150Z ========== 2022-12-01T10:57:32.3741296Z ok (0.013s) 2022-12-01T10:57:32.3741763Z test_dropout_backward (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_dropout_backward test_nestedtensor.py line 1515 2022-12-01T10:57:32.3742090Z due to: 2022-12-01T10:57:32.3742261Z Traceback (most recent call last): 2022-12-01T10:57:32.3742626Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3742937Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3743200Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3743362Z 2022-12-01T10:57:32.3743435Z from user code: 2022-12-01T10:57:32.3743665Z File "test_nestedtensor.py", line 1516, in test_dropout_backward 2022-12-01T10:57:32.3744015Z nt = torch.nested.nested_tensor([torch.randn((2, 5)), torch.randn((3, 4))], requires_grad=True) 2022-12-01T10:57:32.3744200Z 2022-12-01T10:57:32.3744318Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3744536Z ========== 2022-12-01T10:57:32.3744693Z ok (0.005s) 2022-12-01T10:57:32.3745147Z test_indexing_backward (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_indexing_backward test_nestedtensor.py line 1729 2022-12-01T10:57:32.3745476Z due to: 2022-12-01T10:57:32.3745657Z Traceback (most recent call last): 2022-12-01T10:57:32.3746050Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3746351Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3746625Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3746786Z 2022-12-01T10:57:32.3746857Z from user code: 2022-12-01T10:57:32.3747077Z File "test_nestedtensor.py", line 1732, in test_indexing_backward 2022-12-01T10:57:32.3747357Z nt = torch.nested.nested_tensor([x0, x1], requires_grad=True) 2022-12-01T10:57:32.3747513Z 2022-12-01T10:57:32.3747643Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3747847Z ========== 2022-12-01T10:57:32.3748004Z ok (0.006s) 2022-12-01T10:57:32.3748494Z test_nested_tensor_bmm_backward (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_bmm_backward test_nestedtensor.py line 1537 2022-12-01T10:57:32.3748838Z due to: 2022-12-01T10:57:32.3749009Z Traceback (most recent call last): 2022-12-01T10:57:32.3749374Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3749679Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3749939Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3750102Z 2022-12-01T10:57:32.3750172Z from user code: 2022-12-01T10:57:32.3750411Z File "test_nestedtensor.py", line 1538, in test_nested_tensor_bmm_backward 2022-12-01T10:57:32.3750735Z nt0 = torch.nested.nested_tensor([torch.randn((2, 6)), torch.randn((3, 6))], requires_grad=True) 2022-12-01T10:57:32.3750906Z 2022-12-01T10:57:32.3751037Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3751253Z ========== 2022-12-01T10:57:32.3751409Z ok (0.006s) 2022-12-01T10:57:32.3751868Z test_nested_tensor_bmm_gradcheck (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1528 2022-12-01T10:57:32.3752199Z due to: 2022-12-01T10:57:32.3752381Z Traceback (most recent call last): 2022-12-01T10:57:32.3752732Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3753036Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3753311Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3753470Z 2022-12-01T10:57:32.3753540Z from user code: 2022-12-01T10:57:32.3753746Z File "test_nestedtensor.py", line 1529, in grad_test_func 2022-12-01T10:57:32.3753991Z nt0 = torch.nested.as_nested_tensor([a, b]) 2022-12-01T10:57:32.3754126Z 2022-12-01T10:57:32.3754256Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3754460Z ========== 2022-12-01T10:57:32.3754616Z ok (0.043s) 2022-12-01T10:57:32.3755076Z test_nested_tensor_from_list (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1508 2022-12-01T10:57:32.3755387Z due to: 2022-12-01T10:57:32.3755572Z Traceback (most recent call last): 2022-12-01T10:57:32.3755942Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3756246Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3756539Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3756699Z 2022-12-01T10:57:32.3756767Z from user code: 2022-12-01T10:57:32.3756985Z File "test_nestedtensor.py", line 1509, in grad_test_func 2022-12-01T10:57:32.3757219Z c = torch.nested.as_nested_tensor([a, b, c]) 2022-12-01T10:57:32.3757356Z 2022-12-01T10:57:32.3757485Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3757700Z ========== 2022-12-01T10:57:32.3757842Z ok (0.013s) 2022-12-01T10:57:32.3758351Z test_nested_tensor_from_mask_and_to_padded (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1469 2022-12-01T10:57:32.3758692Z due to: 2022-12-01T10:57:32.3758872Z Traceback (most recent call last): 2022-12-01T10:57:32.3759195Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:32.3759462Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:32.3762373Z NotImplementedError: Could not run 'aten::_nested_tensor_from_mask' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_tensor_from_mask' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:57:32.3763553Z 2022-12-01T10:57:32.3763723Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:57:32.3764143Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:57:32.3764588Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:57:32.3765013Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:57:32.3765462Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:57:32.3765881Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:57:32.3766275Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3766742Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3767258Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:57:32.3767695Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:57:32.3768139Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3768544Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3768958Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3769442Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3769854Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3770253Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3770660Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3771103Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3771511Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3771899Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3772310Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3772721Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3773149Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3773564Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3773997Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3774435Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:57:32.3774839Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:57:32.3775215Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:57:32.3775612Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:57:32.3776051Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:57:32.3776527Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:57:32.3776952Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:57:32.3777372Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:57:32.3777806Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:57:32.3778243Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:57:32.3778686Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:57:32.3779140Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:57:32.3779368Z 2022-12-01T10:57:32.3779373Z 2022-12-01T10:57:32.3779508Z During handling of the above exception, another exception occurred: 2022-12-01T10:57:32.3779670Z 2022-12-01T10:57:32.3779760Z Traceback (most recent call last): 2022-12-01T10:57:32.3780143Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3780514Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3780861Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3781065Z 2022-12-01T10:57:32.3781188Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3781348Z 2022-12-01T10:57:32.3781438Z Traceback (most recent call last): 2022-12-01T10:57:32.3781714Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3781954Z ) from e 2022-12-01T10:57:32.3782303Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3782559Z 2022-12-01T10:57:32.3782689Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3782849Z 2022-12-01T10:57:32.3782938Z Traceback (most recent call last): 2022-12-01T10:57:32.3783216Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:32.3783474Z raise TorchRuntimeError() from e 2022-12-01T10:57:32.3783708Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:32.3783847Z 2022-12-01T10:57:32.3783914Z from user code: 2022-12-01T10:57:32.3784119Z File "test_nestedtensor.py", line 1470, in grad_test_func 2022-12-01T10:57:32.3784367Z nt = torch._nested_tensor_from_mask(inpt, mask) 2022-12-01T10:57:32.3784503Z 2022-12-01T10:57:32.3784631Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3784836Z ========== 2022-12-01T10:57:32.3784989Z ok (0.015s) 2022-12-01T10:57:32.3785457Z test_nested_tensor_from_padded (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1481 2022-12-01T10:57:32.3785785Z due to: 2022-12-01T10:57:32.3785955Z Traceback (most recent call last): 2022-12-01T10:57:32.3786292Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:32.3786562Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:32.3788514Z NotImplementedError: Could not run 'aten::_nested_from_padded' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_from_padded' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:57:32.3789678Z 2022-12-01T10:57:32.3789846Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:57:32.3790252Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:57:32.3790693Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:57:32.3791130Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:57:32.3791576Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:57:32.3791975Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:57:32.3792412Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3792796Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3793190Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:57:32.3793607Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:57:32.3794073Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3794491Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3794899Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3795301Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3795708Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3796117Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3796522Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3796919Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3797319Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3797723Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3798132Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3798527Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3798943Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3799381Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3799806Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3800229Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3800631Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:57:32.3801020Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:57:32.3801419Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:57:32.3801844Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:57:32.3802315Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:57:32.3802749Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:57:32.3803200Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:57:32.3803623Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:57:32.3804061Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:57:32.3804517Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:57:32.3804996Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:57:32.3805225Z 2022-12-01T10:57:32.3805229Z 2022-12-01T10:57:32.3805352Z During handling of the above exception, another exception occurred: 2022-12-01T10:57:32.3805514Z 2022-12-01T10:57:32.3805606Z Traceback (most recent call last): 2022-12-01T10:57:32.3805994Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3806340Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3806759Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3807086Z 2022-12-01T10:57:32.3807230Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3807397Z 2022-12-01T10:57:32.3807488Z Traceback (most recent call last): 2022-12-01T10:57:32.3807759Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3808003Z ) from e 2022-12-01T10:57:32.3808334Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3808586Z 2022-12-01T10:57:32.3808719Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3808886Z 2022-12-01T10:57:32.3808965Z Traceback (most recent call last): 2022-12-01T10:57:32.3809240Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:32.3809510Z raise TorchRuntimeError() from e 2022-12-01T10:57:32.3809732Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:32.3809873Z 2022-12-01T10:57:32.3809944Z from user code: 2022-12-01T10:57:32.3810165Z File "test_nestedtensor.py", line 1482, in grad_test_func 2022-12-01T10:57:32.3810448Z nt = torch._nested_from_padded(tensor, nested_size, fuse_transform_0213=False) 2022-12-01T10:57:32.3810606Z 2022-12-01T10:57:32.3810739Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3810955Z ========== 2022-12-01T10:57:32.3811113Z ok (0.017s) 2022-12-01T10:57:32.3811584Z test_nested_tensor_from_padded_fused (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1495 2022-12-01T10:57:32.3811917Z due to: 2022-12-01T10:57:32.3812100Z Traceback (most recent call last): 2022-12-01T10:57:32.3812425Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:57:32.3812690Z return self._op(*args, **kwargs or {}) 2022-12-01T10:57:32.3814625Z NotImplementedError: Could not run 'aten::_nested_from_padded' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_nested_from_padded' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:57:32.3815852Z 2022-12-01T10:57:32.3816023Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:57:32.3816448Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:57:32.3816964Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:57:32.3817405Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:57:32.3817846Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:57:32.3818265Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:57:32.3818659Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3819052Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:57:32.3819435Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:57:32.3819872Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:57:32.3820314Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3820722Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3821138Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3821547Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3821954Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3822354Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3822756Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3823158Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3823564Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3823958Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3824364Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3824772Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3825196Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3825619Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3826044Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3826509Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_3.cpp:15910 [autograd kernel] 2022-12-01T10:57:32.3826915Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_3.cpp:14484 [kernel] 2022-12-01T10:57:32.3827291Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:57:32.3827723Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:57:32.3828163Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:57:32.3828637Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:57:32.3829061Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:57:32.3829479Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:57:32.3829912Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:57:32.3830357Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:57:32.3830804Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:57:32.3831256Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:57:32.3831485Z 2022-12-01T10:57:32.3831493Z 2022-12-01T10:57:32.3831628Z During handling of the above exception, another exception occurred: 2022-12-01T10:57:32.3831792Z 2022-12-01T10:57:32.3831885Z Traceback (most recent call last): 2022-12-01T10:57:32.3832262Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3832606Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3832951Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3833155Z 2022-12-01T10:57:32.3833289Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3833453Z 2022-12-01T10:57:32.3833531Z Traceback (most recent call last): 2022-12-01T10:57:32.3833804Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3834047Z ) from e 2022-12-01T10:57:32.3834363Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3834617Z 2022-12-01T10:57:32.3834751Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3834911Z 2022-12-01T10:57:32.3834999Z Traceback (most recent call last): 2022-12-01T10:57:32.3835275Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:57:32.3835533Z raise TorchRuntimeError() from e 2022-12-01T10:57:32.3835765Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:57:32.3835904Z 2022-12-01T10:57:32.3835974Z from user code: 2022-12-01T10:57:32.3836181Z File "test_nestedtensor.py", line 1496, in grad_test_func 2022-12-01T10:57:32.3836461Z nt = torch._nested_from_padded(tensor, nested_size, fuse_transform_0213=True) 2022-12-01T10:57:32.3836631Z 2022-12-01T10:57:32.3836761Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3836975Z ========== 2022-12-01T10:57:32.3837117Z ok (0.017s) 2022-12-01T10:57:32.3837653Z test_nested_tensor_generates_leaf (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_generates_leaf test_nestedtensor.py line 1401 2022-12-01T10:57:32.3838000Z due to: 2022-12-01T10:57:32.3838168Z Traceback (most recent call last): 2022-12-01T10:57:32.3838532Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3838839Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3839107Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3839255Z 2022-12-01T10:57:32.3839350Z from user code: 2022-12-01T10:57:32.3839594Z File "test_nestedtensor.py", line 1405, in test_nested_tensor_generates_leaf 2022-12-01T10:57:32.3839884Z nt = torch.nested.nested_tensor([a, b], requires_grad=False) 2022-12-01T10:57:32.3840041Z 2022-12-01T10:57:32.3840158Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3840382Z ========== 2022-12-01T10:57:32.3840537Z ok (0.006s) 2022-12-01T10:57:32.3840975Z test_nested_tensor_linear (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1639 2022-12-01T10:57:32.3841297Z due to: 2022-12-01T10:57:32.3841477Z Traceback (most recent call last): 2022-12-01T10:57:32.3841838Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3842133Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3842411Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3842572Z 2022-12-01T10:57:32.3842641Z from user code: 2022-12-01T10:57:32.3842844Z File "test_nestedtensor.py", line 1640, in grad_test_func 2022-12-01T10:57:32.3843091Z nt = torch.nested.as_nested_tensor([a, b, c]) 2022-12-01T10:57:32.3843229Z 2022-12-01T10:57:32.3843358Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3843567Z ========== 2022-12-01T10:57:32.3843726Z ok (0.029s) 2022-12-01T10:57:32.3844223Z test_nested_tensor_linear_backward (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_linear_backward test_nestedtensor.py line 1666 2022-12-01T10:57:32.3844572Z due to: 2022-12-01T10:57:32.3844743Z Traceback (most recent call last): 2022-12-01T10:57:32.3845104Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3845409Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3845666Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3845829Z 2022-12-01T10:57:32.3845901Z from user code: 2022-12-01T10:57:32.3846144Z File "test_nestedtensor.py", line 1673, in test_nested_tensor_linear_backward 2022-12-01T10:57:32.3846401Z nt = torch.nested.as_nested_tensor([a, b, c]) 2022-12-01T10:57:32.3846620Z 2022-12-01T10:57:32.3846753Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3847091Z ========== 2022-12-01T10:57:32.3847257Z ok (0.007s) 2022-12-01T10:57:32.3847749Z test_nested_tensor_matmul_backward (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_matmul_backward test_nestedtensor.py line 1567 2022-12-01T10:57:32.3848099Z due to: 2022-12-01T10:57:32.3848282Z Traceback (most recent call last): 2022-12-01T10:57:32.3848633Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3848942Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3849222Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3849382Z 2022-12-01T10:57:32.3849454Z from user code: 2022-12-01T10:57:32.3849684Z File "test_nestedtensor.py", line 1568, in test_nested_tensor_matmul_backward 2022-12-01T10:57:32.3850082Z nt0 = torch.nested.nested_tensor([torch.randn((7, 2, 6)), torch.randn((7, 3, 6))], requires_grad=True) 2022-12-01T10:57:32.3850271Z 2022-12-01T10:57:32.3850405Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3850610Z ========== 2022-12-01T10:57:32.3850768Z ok (0.006s) 2022-12-01T10:57:32.3851241Z test_nested_tensor_matmul_gradcheck (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1558 2022-12-01T10:57:32.3851570Z due to: 2022-12-01T10:57:32.3851739Z Traceback (most recent call last): 2022-12-01T10:57:32.3852140Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3852443Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3852704Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3852867Z 2022-12-01T10:57:32.3852936Z from user code: 2022-12-01T10:57:32.3853154Z File "test_nestedtensor.py", line 1559, in grad_test_func 2022-12-01T10:57:32.3853384Z nt0 = torch.nested.as_nested_tensor([a, b]) 2022-12-01T10:57:32.3853519Z 2022-12-01T10:57:32.3853649Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3853865Z ========== 2022-12-01T10:57:32.3854007Z ok (0.057s) 2022-12-01T10:57:32.3854514Z test_nested_tensor_reshape_backward (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_reshape_backward test_nestedtensor.py line 1618 2022-12-01T10:57:32.3854863Z due to: 2022-12-01T10:57:32.3855040Z Traceback (most recent call last): 2022-12-01T10:57:32.3855390Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3855693Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3855966Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3856126Z 2022-12-01T10:57:32.3856185Z from user code: 2022-12-01T10:57:32.3856425Z File "test_nestedtensor.py", line 1619, in test_nested_tensor_reshape_backward 2022-12-01T10:57:32.3856749Z nt = torch.nested.nested_tensor([torch.randn((2, 6)), torch.randn((3, 6))], requires_grad=True) 2022-12-01T10:57:32.3856931Z 2022-12-01T10:57:32.3857063Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3857265Z ========== 2022-12-01T10:57:32.3857421Z ok (0.005s) 2022-12-01T10:57:32.3857890Z test_nested_tensor_reshape_gradcheck (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1610 2022-12-01T10:57:32.3858214Z due to: 2022-12-01T10:57:32.3858393Z Traceback (most recent call last): 2022-12-01T10:57:32.3858754Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3859042Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3859318Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3859477Z 2022-12-01T10:57:32.3859546Z from user code: 2022-12-01T10:57:32.3859764Z File "test_nestedtensor.py", line 1611, in grad_test_func 2022-12-01T10:57:32.3859995Z nt = torch.nested.as_nested_tensor([a, b]) 2022-12-01T10:57:32.3860130Z 2022-12-01T10:57:32.3860259Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3860475Z ========== 2022-12-01T10:57:32.3861073Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-12-01T10:57:32.3861566Z f'Input #{idx} requires gradient and ' 2022-12-01T10:57:32.3862199Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-12-01T10:57:32.3862714Z f'Input #{idx} requires gradient and ' 2022-12-01T10:57:32.3862890Z ok (0.022s) 2022-12-01T10:57:32.3863343Z test_nested_tensor_softmax (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1656 2022-12-01T10:57:32.3863661Z due to: 2022-12-01T10:57:32.3863839Z Traceback (most recent call last): 2022-12-01T10:57:32.3864185Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3864515Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3864792Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3864953Z 2022-12-01T10:57:32.3865009Z from user code: 2022-12-01T10:57:32.3865231Z File "test_nestedtensor.py", line 1657, in grad_test_func 2022-12-01T10:57:32.3865481Z nt = torch.nested.as_nested_tensor([a, b, c]) 2022-12-01T10:57:32.3865620Z 2022-12-01T10:57:32.3865749Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3865952Z ========== 2022-12-01T10:57:32.3866105Z ok (0.013s) 2022-12-01T10:57:32.3866603Z test_nested_tensor_to_padded_tensor (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_to_padded_tensor test_nestedtensor.py line 1447 2022-12-01T10:57:32.3866936Z due to: 2022-12-01T10:57:32.3867114Z Traceback (most recent call last): 2022-12-01T10:57:32.3867478Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3867767Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3868041Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3868200Z 2022-12-01T10:57:32.3868270Z from user code: 2022-12-01T10:57:32.3868512Z File "test_nestedtensor.py", line 1449, in test_nested_tensor_to_padded_tensor 2022-12-01T10:57:32.3868782Z nt = self._create_leaf_nested_tensor_from_list(True) 2022-12-01T10:57:32.3868923Z 2022-12-01T10:57:32.3869054Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3869270Z ========== 2022-12-01T10:57:32.3869627Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _create_leaf_nested_tensor_from_list test_nestedtensor.py line 1371 2022-12-01T10:57:32.3869900Z due to: 2022-12-01T10:57:32.3870081Z Traceback (most recent call last): 2022-12-01T10:57:32.3870429Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3870734Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3871007Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3871164Z 2022-12-01T10:57:32.3871233Z from user code: 2022-12-01T10:57:32.3871464Z File "test_nestedtensor.py", line 1373, in _create_leaf_nested_tensor_from_list 2022-12-01T10:57:32.3871740Z torch.randn(7, 8)], requires_grad=requires_grad) 2022-12-01T10:57:32.3871879Z 2022-12-01T10:57:32.3872009Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3872211Z ========== 2022-12-01T10:57:32.3872364Z ok (0.010s) 2022-12-01T10:57:32.3872870Z test_nested_tensor_transpose_backward (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_transpose_backward test_nestedtensor.py line 1594 2022-12-01T10:57:32.3873214Z due to: 2022-12-01T10:57:32.3873394Z Traceback (most recent call last): 2022-12-01T10:57:32.3873754Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3874056Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3874314Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3874476Z 2022-12-01T10:57:32.3874546Z from user code: 2022-12-01T10:57:32.3874837Z File "test_nestedtensor.py", line 1595, in test_nested_tensor_transpose_backward 2022-12-01T10:57:32.3875153Z nt = torch.nested.nested_tensor([torch.randn((2, 5)), torch.randn((3, 4))], requires_grad=True) 2022-12-01T10:57:32.3875584Z 2022-12-01T10:57:32.3875716Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3875935Z ========== 2022-12-01T10:57:32.3876093Z ok (0.005s) 2022-12-01T10:57:32.3876565Z test_nested_tensor_transpose_gradcheck (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1586 2022-12-01T10:57:32.3876907Z due to: 2022-12-01T10:57:32.3877127Z Traceback (most recent call last): 2022-12-01T10:57:32.3877482Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3877786Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3878061Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3878222Z 2022-12-01T10:57:32.3878279Z from user code: 2022-12-01T10:57:32.3878498Z File "test_nestedtensor.py", line 1587, in grad_test_func 2022-12-01T10:57:32.3878743Z nt = torch.nested.as_nested_tensor([a, b]) 2022-12-01T10:57:32.3878882Z 2022-12-01T10:57:32.3879014Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3879219Z ========== 2022-12-01T10:57:32.3879826Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-12-01T10:57:32.3880319Z f'Input #{idx} requires gradient and ' 2022-12-01T10:57:32.3880948Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-12-01T10:57:32.3881409Z f'Input #{idx} requires gradient and ' 2022-12-01T10:57:32.3881600Z ok (0.019s) 2022-12-01T10:57:32.3882090Z test_set_requires_grad_from_list (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _create_nested_tensor_from_list test_nestedtensor.py line 1375 2022-12-01T10:57:32.3882418Z due to: 2022-12-01T10:57:32.3882599Z Traceback (most recent call last): 2022-12-01T10:57:32.3882959Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3883351Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3883613Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3883775Z 2022-12-01T10:57:32.3883845Z from user code: 2022-12-01T10:57:32.3884083Z File "test_nestedtensor.py", line 1377, in _create_nested_tensor_from_list 2022-12-01T10:57:32.3884343Z torch.randn(7, 8, requires_grad=requires_grad)]) 2022-12-01T10:57:32.3884484Z 2022-12-01T10:57:32.3884617Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3884836Z ========== 2022-12-01T10:57:32.3884980Z ok (0.005s) 2022-12-01T10:57:32.3885229Z test_set_requires_grad_from_mask (__main__.TestNestedTensorAutograd) ... ok (0.002s) 2022-12-01T10:57:32.3885803Z test_to_buffer_series_ops_grad_with_broadcast (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1704 2022-12-01T10:57:32.3886142Z due to: 2022-12-01T10:57:32.3886313Z Traceback (most recent call last): 2022-12-01T10:57:32.3886742Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3887170Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3887435Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3887597Z 2022-12-01T10:57:32.3887731Z from user code: 2022-12-01T10:57:32.3887951Z File "test_nestedtensor.py", line 1705, in grad_test_func 2022-12-01T10:57:32.3888202Z nt = torch.nested.as_nested_tensor([a, b, c]) 2022-12-01T10:57:32.3888329Z 2022-12-01T10:57:32.3888460Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3888678Z ========== 2022-12-01T10:57:32.3888836Z ok (0.013s) 2022-12-01T10:57:32.3889282Z test_unbind_flow_through (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1718 2022-12-01T10:57:32.3889604Z due to: 2022-12-01T10:57:32.3889839Z Traceback (most recent call last): 2022-12-01T10:57:32.3890193Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3890493Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3890764Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3890925Z 2022-12-01T10:57:32.3890996Z from user code: 2022-12-01T10:57:32.3891203Z File "test_nestedtensor.py", line 1719, in grad_test_func 2022-12-01T10:57:32.3891450Z nt = torch.nested.as_nested_tensor([a, b, c]) 2022-12-01T10:57:32.3891589Z 2022-12-01T10:57:32.3891720Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3891924Z ========== 2022-12-01T10:57:32.3892079Z ok (0.013s) 2022-12-01T10:57:32.3892539Z test_values_grad_with_broadcast (__main__.TestNestedTensorAutograd) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT grad_test_func test_nestedtensor.py line 1691 2022-12-01T10:57:32.3892852Z due to: 2022-12-01T10:57:32.3893034Z Traceback (most recent call last): 2022-12-01T10:57:32.3893398Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3893704Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3893966Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3894130Z 2022-12-01T10:57:32.3894200Z from user code: 2022-12-01T10:57:32.3894417Z File "test_nestedtensor.py", line 1692, in grad_test_func 2022-12-01T10:57:32.3894726Z nt = torch.nested.as_nested_tensor([a, b, c]) 2022-12-01T10:57:32.3894864Z 2022-12-01T10:57:32.3894994Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3895215Z ========== 2022-12-01T10:57:32.3895359Z ok (0.013s) 2022-12-01T10:57:32.3895807Z test_bmm_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_bmm test_nestedtensor.py line 835 2022-12-01T10:57:32.3896131Z due to: 2022-12-01T10:57:32.3896314Z Traceback (most recent call last): 2022-12-01T10:57:32.3896662Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3896963Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3897234Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3897396Z 2022-12-01T10:57:32.3897454Z from user code: 2022-12-01T10:57:32.3897662Z File "test_nestedtensor.py", line 838, in test_bmm 2022-12-01T10:57:32.3897964Z nt = torch.nested.nested_tensor([torch.randn(2), torch.randn(3)], device=device, dtype=dtype) 2022-12-01T10:57:32.3898154Z 2022-12-01T10:57:32.3898272Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3898485Z ========== 2022-12-01T10:57:32.3898805Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 843 2022-12-01T10:57:32.3899051Z due to: 2022-12-01T10:57:32.3899219Z Traceback (most recent call last): 2022-12-01T10:57:32.3899601Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3899944Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3900274Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3900514Z 2022-12-01T10:57:32.3900648Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3900813Z 2022-12-01T10:57:32.3900903Z Traceback (most recent call last): 2022-12-01T10:57:32.3901178Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3901407Z ) from e 2022-12-01T10:57:32.3901736Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3901988Z 2022-12-01T10:57:32.3902142Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3902348Z ========== 2022-12-01T10:57:32.3902669Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 848 2022-12-01T10:57:32.3902915Z due to: 2022-12-01T10:57:32.3903081Z Traceback (most recent call last): 2022-12-01T10:57:32.3903462Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3903809Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3904150Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3904343Z 2022-12-01T10:57:32.3904479Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3904640Z 2022-12-01T10:57:32.3904732Z Traceback (most recent call last): 2022-12-01T10:57:32.3905007Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3905236Z ) from e 2022-12-01T10:57:32.3905560Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3905811Z 2022-12-01T10:57:32.3905938Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3906153Z ========== 2022-12-01T10:57:32.3906458Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 857 2022-12-01T10:57:32.3906705Z due to: 2022-12-01T10:57:32.3906883Z Traceback (most recent call last): 2022-12-01T10:57:32.3907255Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3907594Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3907936Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3908140Z 2022-12-01T10:57:32.3908272Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3908421Z 2022-12-01T10:57:32.3908511Z Traceback (most recent call last): 2022-12-01T10:57:32.3908784Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3909024Z ) from e 2022-12-01T10:57:32.3909336Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3909592Z 2022-12-01T10:57:32.3909718Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3909932Z ========== 2022-12-01T10:57:32.3910250Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 862 2022-12-01T10:57:32.3910482Z due to: 2022-12-01T10:57:32.3910662Z Traceback (most recent call last): 2022-12-01T10:57:32.3911041Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3911367Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3911714Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3911993Z 2022-12-01T10:57:32.3912128Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3912291Z 2022-12-01T10:57:32.3912381Z Traceback (most recent call last): 2022-12-01T10:57:32.3912682Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3912922Z ) from e 2022-12-01T10:57:32.3913252Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3913504Z 2022-12-01T10:57:32.3913620Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3913836Z ========== 2022-12-01T10:57:32.3914156Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 867 2022-12-01T10:57:32.3914389Z due to: 2022-12-01T10:57:32.3914571Z Traceback (most recent call last): 2022-12-01T10:57:32.3914980Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3915325Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3915654Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3915860Z 2022-12-01T10:57:32.3915996Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3916158Z 2022-12-01T10:57:32.3916248Z Traceback (most recent call last): 2022-12-01T10:57:32.3916509Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3916747Z ) from e 2022-12-01T10:57:32.3917072Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3917322Z 2022-12-01T10:57:32.3917450Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3917654Z ========== 2022-12-01T10:57:32.3917971Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 872 2022-12-01T10:57:32.3918217Z due to: 2022-12-01T10:57:32.3918381Z Traceback (most recent call last): 2022-12-01T10:57:32.3918762Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3919105Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3919435Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3919638Z 2022-12-01T10:57:32.3919771Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3919932Z 2022-12-01T10:57:32.3920021Z Traceback (most recent call last): 2022-12-01T10:57:32.3920294Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3920521Z ) from e 2022-12-01T10:57:32.3920849Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3921100Z 2022-12-01T10:57:32.3921229Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3921442Z ========== 2022-12-01T10:57:32.3921752Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 877 2022-12-01T10:57:32.3921997Z due to: 2022-12-01T10:57:32.3922173Z Traceback (most recent call last): 2022-12-01T10:57:32.3922542Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3922884Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3923227Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3923431Z 2022-12-01T10:57:32.3923553Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3923720Z 2022-12-01T10:57:32.3923813Z Traceback (most recent call last): 2022-12-01T10:57:32.3924086Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3924323Z ) from e 2022-12-01T10:57:32.3924634Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3924920Z 2022-12-01T10:57:32.3925050Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3925263Z ========== 2022-12-01T10:57:32.3925569Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 882 2022-12-01T10:57:32.3925811Z due to: 2022-12-01T10:57:32.3925988Z Traceback (most recent call last): 2022-12-01T10:57:32.3926357Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3926773Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3927298Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3927506Z 2022-12-01T10:57:32.3927642Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3927804Z 2022-12-01T10:57:32.3927882Z Traceback (most recent call last): 2022-12-01T10:57:32.3928160Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3928405Z ) from e 2022-12-01T10:57:32.3928723Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3929040Z 2022-12-01T10:57:32.3929170Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3929389Z ========== 2022-12-01T10:57:32.3929715Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 887 2022-12-01T10:57:32.3929951Z due to: 2022-12-01T10:57:32.3930132Z Traceback (most recent call last): 2022-12-01T10:57:32.3930520Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3930853Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3931198Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3931405Z 2022-12-01T10:57:32.3931539Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3931704Z 2022-12-01T10:57:32.3931794Z Traceback (most recent call last): 2022-12-01T10:57:32.3932053Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3932292Z ) from e 2022-12-01T10:57:32.3932618Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3932870Z 2022-12-01T10:57:32.3932987Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3933201Z ========== 2022-12-01T10:57:32.3933520Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 892 2022-12-01T10:57:32.3933763Z due to: 2022-12-01T10:57:32.3933933Z Traceback (most recent call last): 2022-12-01T10:57:32.3934317Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3934660Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3934987Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3935190Z 2022-12-01T10:57:32.3935322Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3935484Z 2022-12-01T10:57:32.3935570Z Traceback (most recent call last): 2022-12-01T10:57:32.3935846Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3936073Z ) from e 2022-12-01T10:57:32.3936399Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3936649Z 2022-12-01T10:57:32.3936777Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3936979Z ========== 2022-12-01T10:57:32.3937304Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 903 2022-12-01T10:57:32.3937595Z due to: 2022-12-01T10:57:32.3937759Z Traceback (most recent call last): 2022-12-01T10:57:32.3938142Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3938481Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3938826Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3939018Z 2022-12-01T10:57:32.3939153Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3939317Z 2022-12-01T10:57:32.3939437Z Traceback (most recent call last): 2022-12-01T10:57:32.3939716Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3939944Z ) from e 2022-12-01T10:57:32.3940266Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3940519Z 2022-12-01T10:57:32.3940647Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3940859Z ========== 2022-12-01T10:57:32.3941168Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 908 2022-12-01T10:57:32.3941413Z due to: 2022-12-01T10:57:32.3941592Z Traceback (most recent call last): 2022-12-01T10:57:32.3941960Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3942300Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3942645Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3942848Z 2022-12-01T10:57:32.3942983Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3943135Z 2022-12-01T10:57:32.3943223Z Traceback (most recent call last): 2022-12-01T10:57:32.3943505Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3943744Z ) from e 2022-12-01T10:57:32.3944057Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3944307Z 2022-12-01T10:57:32.3944438Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3944654Z ========== 2022-12-01T10:57:32.3944976Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 915 2022-12-01T10:57:32.3945209Z due to: 2022-12-01T10:57:32.3945386Z Traceback (most recent call last): 2022-12-01T10:57:32.3945770Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3946094Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3946435Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3946636Z 2022-12-01T10:57:32.3946772Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3946932Z 2022-12-01T10:57:32.3947019Z Traceback (most recent call last): 2022-12-01T10:57:32.3947282Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3947517Z ) from e 2022-12-01T10:57:32.3947847Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3948094Z 2022-12-01T10:57:32.3948210Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3948423Z ========== 2022-12-01T10:57:32.3948580Z ok (0.055s) 2022-12-01T10:57:32.3948818Z test_bmm_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.043s) 2022-12-01T10:57:32.3949162Z test_bmm_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:57:32.3949523Z test_bmm_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.3950131Z test_clone_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 708 2022-12-01T10:57:32.3950452Z due to: 2022-12-01T10:57:32.3950632Z Traceback (most recent call last): 2022-12-01T10:57:32.3951017Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3951347Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3951713Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3951919Z 2022-12-01T10:57:32.3952051Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3952217Z 2022-12-01T10:57:32.3952307Z Traceback (most recent call last): 2022-12-01T10:57:32.3952570Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3952813Z ) from e 2022-12-01T10:57:32.3953141Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3953392Z 2022-12-01T10:57:32.3953509Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3953573Z ========== 2022-12-01T10:57:32.3953636Z ok (0.022s) 2022-12-01T10:57:32.3953794Z test_clone_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.012s) 2022-12-01T10:57:32.3954162Z test_detach_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_detach test_nestedtensor.py line 326 2022-12-01T10:57:32.3954224Z due to: 2022-12-01T10:57:32.3954315Z Traceback (most recent call last): 2022-12-01T10:57:32.3954556Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3954662Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3954796Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3954801Z 2022-12-01T10:57:32.3954872Z from user code: 2022-12-01T10:57:32.3954987Z File "test_nestedtensor.py", line 330, in test_detach 2022-12-01T10:57:32.3955111Z x = torch.nested.nested_tensor([a, b], requires_grad=True) 2022-12-01T10:57:32.3955116Z 2022-12-01T10:57:32.3955245Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3955307Z ========== 2022-12-01T10:57:32.3955372Z ok (0.006s) 2022-12-01T10:57:32.3955518Z test_detach_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.3955672Z test_detach_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.3956046Z test_device_checks_cpu (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_device_checks test_nestedtensor.py line 527 2022-12-01T10:57:32.3956110Z due to: 2022-12-01T10:57:32.3956201Z Traceback (most recent call last): 2022-12-01T10:57:32.3956444Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3956561Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3956690Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3956696Z 2022-12-01T10:57:32.3956752Z from user code: 2022-12-01T10:57:32.3956875Z File "test_nestedtensor.py", line 529, in test_device_checks 2022-12-01T10:57:32.3956991Z nt = torch.nested.nested_tensor([], device=device) 2022-12-01T10:57:32.3956996Z 2022-12-01T10:57:32.3957127Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3957191Z ========== 2022-12-01T10:57:32.3957255Z ok (0.002s) 2022-12-01T10:57:32.3957622Z test_dropout_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_dropout test_nestedtensor.py line 725 2022-12-01T10:57:32.3957714Z due to: 2022-12-01T10:57:32.3957804Z Traceback (most recent call last): 2022-12-01T10:57:32.3958042Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3958161Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3958293Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3958298Z 2022-12-01T10:57:32.3958366Z from user code: 2022-12-01T10:57:32.3958482Z File "test_nestedtensor.py", line 728, in test_dropout 2022-12-01T10:57:32.3958582Z nt0 = torch.nested.nested_tensor([]) 2022-12-01T10:57:32.3958587Z 2022-12-01T10:57:32.3958731Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3958799Z ========== 2022-12-01T10:57:32.3959031Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 737 2022-12-01T10:57:32.3959098Z due to: 2022-12-01T10:57:32.3959189Z Traceback (most recent call last): 2022-12-01T10:57:32.3959451Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3959596Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3959777Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3959782Z 2022-12-01T10:57:32.3959905Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3959923Z 2022-12-01T10:57:32.3960000Z Traceback (most recent call last): 2022-12-01T10:57:32.3960158Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3960223Z ) from e 2022-12-01T10:57:32.3960458Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3960463Z 2022-12-01T10:57:32.3960590Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3960655Z ========== 2022-12-01T10:57:32.3960883Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 738 2022-12-01T10:57:32.3960934Z due to: 2022-12-01T10:57:32.3961023Z Traceback (most recent call last): 2022-12-01T10:57:32.3961284Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3961432Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3961611Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3961616Z 2022-12-01T10:57:32.3961750Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3961755Z 2022-12-01T10:57:32.3961844Z Traceback (most recent call last): 2022-12-01T10:57:32.3961998Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3962050Z ) from e 2022-12-01T10:57:32.3962283Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3962291Z 2022-12-01T10:57:32.3962419Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3962480Z ========== 2022-12-01T10:57:32.3962545Z ok (0.017s) 2022-12-01T10:57:32.3962705Z test_dropout_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.006s) 2022-12-01T10:57:32.3963144Z test_dropout_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 777 2022-12-01T10:57:32.3963209Z due to: 2022-12-01T10:57:32.3963297Z Traceback (most recent call last): 2022-12-01T10:57:32.3963543Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3963688Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3963895Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3963900Z 2022-12-01T10:57:32.3964033Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3964038Z 2022-12-01T10:57:32.3964127Z Traceback (most recent call last): 2022-12-01T10:57:32.3964282Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3964346Z ) from e 2022-12-01T10:57:32.3964579Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3964584Z 2022-12-01T10:57:32.3964731Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3964794Z ========== 2022-12-01T10:57:32.3964858Z ok (0.010s) 2022-12-01T10:57:32.3965036Z test_dropout_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:57:32.3965404Z test_embedding_cpu (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_embedding test_nestedtensor.py line 401 2022-12-01T10:57:32.3965469Z due to: 2022-12-01T10:57:32.3965558Z Traceback (most recent call last): 2022-12-01T10:57:32.3965713Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:32.3965806Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:32.3966114Z TypeError: randint() received an invalid combination of arguments - got (int, tuple, dtype=torch.dtype, device=str), but expected one of: 2022-12-01T10:57:32.3966364Z * (int high, tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3966657Z * (int high, tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3966913Z * (int low, int high, tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3967248Z * (int low, int high, tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3967256Z 2022-12-01T10:57:32.3967260Z 2022-12-01T10:57:32.3967332Z from user code: 2022-12-01T10:57:32.3967455Z File "test_nestedtensor.py", line 406, in test_embedding 2022-12-01T10:57:32.3967548Z for L in torch.randint(5, 50, (8,)) 2022-12-01T10:57:32.3967553Z 2022-12-01T10:57:32.3967686Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3967736Z ========== 2022-12-01T10:57:32.3967978Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 405 2022-12-01T10:57:32.3968045Z due to: 2022-12-01T10:57:32.3968136Z Traceback (most recent call last): 2022-12-01T10:57:32.3968296Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:32.3968401Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:32.3968703Z TypeError: randint() received an invalid combination of arguments - got (int, tuple, dtype=torch.dtype, device=str), but expected one of: 2022-12-01T10:57:32.3968948Z * (int high, tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3969149Z * (int high, tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3969393Z * (int low, int high, tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3969609Z * (int low, int high, tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:57:32.3969668Z 2022-12-01T10:57:32.3969672Z 2022-12-01T10:57:32.3969743Z from user code: 2022-12-01T10:57:32.3969862Z File "test_nestedtensor.py", line 406, in 2022-12-01T10:57:32.3969952Z for L in torch.randint(5, 50, (8,)) 2022-12-01T10:57:32.3969957Z 2022-12-01T10:57:32.3970090Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3970157Z ========== 2022-12-01T10:57:32.3970224Z ok (0.017s) 2022-12-01T10:57:32.3970608Z test_layer_norm_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test test_nestedtensor.py line 385 2022-12-01T10:57:32.3970675Z due to: 2022-12-01T10:57:32.3970767Z Traceback (most recent call last): 2022-12-01T10:57:32.3971013Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3971132Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3971265Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3971270Z 2022-12-01T10:57:32.3971339Z from user code: 2022-12-01T10:57:32.3971445Z File "test_nestedtensor.py", line 389, in _test 2022-12-01T10:57:32.3971566Z nt = torch.nested.nested_tensor(ts, device=device, dtype=dtype) 2022-12-01T10:57:32.3971570Z 2022-12-01T10:57:32.3971697Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3971760Z ========== 2022-12-01T10:57:32.3971831Z ok (0.015s) 2022-12-01T10:57:32.3972199Z test_linear_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linear test_nestedtensor.py line 1076 2022-12-01T10:57:32.3972264Z due to: 2022-12-01T10:57:32.3972357Z Traceback (most recent call last): 2022-12-01T10:57:32.3972585Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3972705Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3972839Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3972844Z 2022-12-01T10:57:32.3972912Z from user code: 2022-12-01T10:57:32.3973027Z File "test_nestedtensor.py", line 1081, in test_linear 2022-12-01T10:57:32.3973135Z nt = torch.nested.nested_tensor([a, b, c]) 2022-12-01T10:57:32.3973141Z 2022-12-01T10:57:32.3973275Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3973335Z ========== 2022-12-01T10:57:32.3973390Z ok (0.026s) 2022-12-01T10:57:32.3973553Z test_linear_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.020s) 2022-12-01T10:57:32.3973965Z test_linear_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_linear_noncontiguous test_nestedtensor.py line 1124 2022-12-01T10:57:32.3974027Z due to: 2022-12-01T10:57:32.3974118Z Traceback (most recent call last): 2022-12-01T10:57:32.3974291Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:32.3974413Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:32.3974493Z AssertionError: dtype 2022-12-01T10:57:32.3974498Z 2022-12-01T10:57:32.3974555Z from user code: 2022-12-01T10:57:32.3974692Z File "test_nestedtensor.py", line 1126, in test_linear_noncontiguous 2022-12-01T10:57:32.3974851Z nt_contiguous, nt_noncontiguous = random_nt_noncontiguous_pair((2, 3, 6, 7), device, dtype) 2022-12-01T10:57:32.3974856Z 2022-12-01T10:57:32.3974988Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3975051Z ========== 2022-12-01T10:57:32.3975284Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1131 2022-12-01T10:57:32.3975347Z due to: 2022-12-01T10:57:32.3975438Z Traceback (most recent call last): 2022-12-01T10:57:32.3975687Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3975862Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3976038Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3976043Z 2022-12-01T10:57:32.3976176Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3976181Z 2022-12-01T10:57:32.3976270Z Traceback (most recent call last): 2022-12-01T10:57:32.3976425Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3976489Z ) from e 2022-12-01T10:57:32.3976749Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3976755Z 2022-12-01T10:57:32.3976883Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3976932Z ========== 2022-12-01T10:57:32.3976997Z ok (0.006s) 2022-12-01T10:57:32.3977176Z test_linear_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:57:32.3977539Z test_matmul_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matmul test_nestedtensor.py line 934 2022-12-01T10:57:32.3977604Z due to: 2022-12-01T10:57:32.3977692Z Traceback (most recent call last): 2022-12-01T10:57:32.3977933Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.3978040Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.3978173Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.3978178Z 2022-12-01T10:57:32.3978247Z from user code: 2022-12-01T10:57:32.3978366Z File "test_nestedtensor.py", line 937, in test_matmul 2022-12-01T10:57:32.3978531Z nt = torch.nested.nested_tensor([torch.randn(2), torch.randn(3)], device=device, dtype=dtype) 2022-12-01T10:57:32.3978538Z 2022-12-01T10:57:32.3978666Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3978726Z ========== 2022-12-01T10:57:32.3978953Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 942 2022-12-01T10:57:32.3979003Z due to: 2022-12-01T10:57:32.3979092Z Traceback (most recent call last): 2022-12-01T10:57:32.3979351Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3979495Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3979673Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3979678Z 2022-12-01T10:57:32.3979811Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3979817Z 2022-12-01T10:57:32.3979905Z Traceback (most recent call last): 2022-12-01T10:57:32.3980061Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3980116Z ) from e 2022-12-01T10:57:32.3980349Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3980354Z 2022-12-01T10:57:32.3980483Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3980544Z ========== 2022-12-01T10:57:32.3980774Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 947 2022-12-01T10:57:32.3980836Z due to: 2022-12-01T10:57:32.3980927Z Traceback (most recent call last): 2022-12-01T10:57:32.3981187Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3981318Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3981497Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3981502Z 2022-12-01T10:57:32.3981697Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3981703Z 2022-12-01T10:57:32.3981792Z Traceback (most recent call last): 2022-12-01T10:57:32.3981949Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3982013Z ) from e 2022-12-01T10:57:32.3982249Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3982254Z 2022-12-01T10:57:32.3982383Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3982449Z ========== 2022-12-01T10:57:32.3982698Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 956 2022-12-01T10:57:32.3982765Z due to: 2022-12-01T10:57:32.3982856Z Traceback (most recent call last): 2022-12-01T10:57:32.3983120Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3983268Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3983442Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3983447Z 2022-12-01T10:57:32.3983580Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3983584Z 2022-12-01T10:57:32.3983672Z Traceback (most recent call last): 2022-12-01T10:57:32.3983816Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3983877Z ) from e 2022-12-01T10:57:32.3984111Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3984116Z 2022-12-01T10:57:32.3984244Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3984308Z ========== 2022-12-01T10:57:32.3984535Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 961 2022-12-01T10:57:32.3984600Z due to: 2022-12-01T10:57:32.3984687Z Traceback (most recent call last): 2022-12-01T10:57:32.3984934Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3985080Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3985257Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3985262Z 2022-12-01T10:57:32.3985396Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3985402Z 2022-12-01T10:57:32.3985491Z Traceback (most recent call last): 2022-12-01T10:57:32.3985644Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3985707Z ) from e 2022-12-01T10:57:32.3985937Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3985945Z 2022-12-01T10:57:32.3986061Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3986122Z ========== 2022-12-01T10:57:32.3986351Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 966 2022-12-01T10:57:32.3986415Z due to: 2022-12-01T10:57:32.3986504Z Traceback (most recent call last): 2022-12-01T10:57:32.3986769Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3986911Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3987091Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3987096Z 2022-12-01T10:57:32.3987217Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3987235Z 2022-12-01T10:57:32.3987311Z Traceback (most recent call last): 2022-12-01T10:57:32.3987462Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3987561Z ) from e 2022-12-01T10:57:32.3987794Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3987800Z 2022-12-01T10:57:32.3987927Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3987988Z ========== 2022-12-01T10:57:32.3988217Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 971 2022-12-01T10:57:32.3988268Z due to: 2022-12-01T10:57:32.3988359Z Traceback (most recent call last): 2022-12-01T10:57:32.3988644Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3988789Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3988963Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3988968Z 2022-12-01T10:57:32.3989101Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3989108Z 2022-12-01T10:57:32.3989197Z Traceback (most recent call last): 2022-12-01T10:57:32.3989352Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3989406Z ) from e 2022-12-01T10:57:32.3989638Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3989643Z 2022-12-01T10:57:32.3989772Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3989833Z ========== 2022-12-01T10:57:32.3990066Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 976 2022-12-01T10:57:32.3990130Z due to: 2022-12-01T10:57:32.3990218Z Traceback (most recent call last): 2022-12-01T10:57:32.3990479Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3990613Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3990787Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3990792Z 2022-12-01T10:57:32.3990925Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3990930Z 2022-12-01T10:57:32.3991020Z Traceback (most recent call last): 2022-12-01T10:57:32.3991174Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3991238Z ) from e 2022-12-01T10:57:32.3991474Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3991479Z 2022-12-01T10:57:32.3991606Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3991669Z ========== 2022-12-01T10:57:32.3991884Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 981 2022-12-01T10:57:32.3991950Z due to: 2022-12-01T10:57:32.3992038Z Traceback (most recent call last): 2022-12-01T10:57:32.3992298Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3992444Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3992618Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3992623Z 2022-12-01T10:57:32.3992756Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3992761Z 2022-12-01T10:57:32.3992851Z Traceback (most recent call last): 2022-12-01T10:57:32.3992994Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3993057Z ) from e 2022-12-01T10:57:32.3993290Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3993294Z 2022-12-01T10:57:32.3993450Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3993513Z ========== 2022-12-01T10:57:32.3993740Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 986 2022-12-01T10:57:32.3993802Z due to: 2022-12-01T10:57:32.3993890Z Traceback (most recent call last): 2022-12-01T10:57:32.3994136Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3994278Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3994452Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3994484Z 2022-12-01T10:57:32.3994618Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3994622Z 2022-12-01T10:57:32.3994709Z Traceback (most recent call last): 2022-12-01T10:57:32.3994864Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3994929Z ) from e 2022-12-01T10:57:32.3995162Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3995167Z 2022-12-01T10:57:32.3995292Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3995342Z ========== 2022-12-01T10:57:32.3995570Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 991 2022-12-01T10:57:32.3995632Z due to: 2022-12-01T10:57:32.3995719Z Traceback (most recent call last): 2022-12-01T10:57:32.3995979Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3996121Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3996297Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3996301Z 2022-12-01T10:57:32.3996422Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3996439Z 2022-12-01T10:57:32.3996516Z Traceback (most recent call last): 2022-12-01T10:57:32.3996671Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3996735Z ) from e 2022-12-01T10:57:32.3996966Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3996971Z 2022-12-01T10:57:32.3997100Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3997161Z ========== 2022-12-01T10:57:32.3997384Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1002 2022-12-01T10:57:32.3997454Z due to: 2022-12-01T10:57:32.3997545Z Traceback (most recent call last): 2022-12-01T10:57:32.3997804Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3997949Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3998128Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3998134Z 2022-12-01T10:57:32.3998266Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.3998271Z 2022-12-01T10:57:32.3998346Z Traceback (most recent call last): 2022-12-01T10:57:32.3998503Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.3998566Z ) from e 2022-12-01T10:57:32.3998804Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.3998809Z 2022-12-01T10:57:32.3998936Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.3998998Z ========== 2022-12-01T10:57:32.3999229Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1007 2022-12-01T10:57:32.3999292Z due to: 2022-12-01T10:57:32.3999408Z Traceback (most recent call last): 2022-12-01T10:57:32.3999668Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.3999812Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.3999989Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.3999994Z 2022-12-01T10:57:32.4000127Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4000132Z 2022-12-01T10:57:32.4000220Z Traceback (most recent call last): 2022-12-01T10:57:32.4000402Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4000471Z ) from e 2022-12-01T10:57:32.4000690Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4000707Z 2022-12-01T10:57:32.4000825Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4000887Z ========== 2022-12-01T10:57:32.4001118Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1019 2022-12-01T10:57:32.4001181Z due to: 2022-12-01T10:57:32.4001269Z Traceback (most recent call last): 2022-12-01T10:57:32.4001526Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4001670Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4001833Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4001852Z 2022-12-01T10:57:32.4001973Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4001978Z 2022-12-01T10:57:32.4002065Z Traceback (most recent call last): 2022-12-01T10:57:32.4002219Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4002284Z ) from e 2022-12-01T10:57:32.4002516Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4002521Z 2022-12-01T10:57:32.4002648Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4002710Z ========== 2022-12-01T10:57:32.4002940Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1031 2022-12-01T10:57:32.4002990Z due to: 2022-12-01T10:57:32.4003080Z Traceback (most recent call last): 2022-12-01T10:57:32.4003341Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4003483Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4003660Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4003665Z 2022-12-01T10:57:32.4003798Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4003805Z 2022-12-01T10:57:32.4003895Z Traceback (most recent call last): 2022-12-01T10:57:32.4004048Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4004099Z ) from e 2022-12-01T10:57:32.4004330Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4004335Z 2022-12-01T10:57:32.4004463Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4004524Z ========== 2022-12-01T10:57:32.4004754Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1038 2022-12-01T10:57:32.4004818Z due to: 2022-12-01T10:57:32.4004906Z Traceback (most recent call last): 2022-12-01T10:57:32.4005163Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4005293Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4005498Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4005503Z 2022-12-01T10:57:32.4005635Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4005640Z 2022-12-01T10:57:32.4005729Z Traceback (most recent call last): 2022-12-01T10:57:32.4005885Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4005949Z ) from e 2022-12-01T10:57:32.4006209Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4006215Z 2022-12-01T10:57:32.4006344Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4006394Z ========== 2022-12-01T10:57:32.4006459Z ok (0.068s) 2022-12-01T10:57:32.4006703Z test_matmul_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.053s) 2022-12-01T10:57:32.4007268Z test_matmul_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_matmul_noncontiguous test_nestedtensor.py line 1068 2022-12-01T10:57:32.4007335Z due to: 2022-12-01T10:57:32.4007427Z Traceback (most recent call last): 2022-12-01T10:57:32.4007604Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:32.4007727Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:32.4007796Z AssertionError: dtype 2022-12-01T10:57:32.4007802Z 2022-12-01T10:57:32.4007876Z from user code: 2022-12-01T10:57:32.4008016Z File "test_nestedtensor.py", line 1070, in test_matmul_noncontiguous 2022-12-01T10:57:32.4008174Z nt0_contiguous, nt0_noncontiguous = random_nt_noncontiguous_pair((2, 3), device, dtype) 2022-12-01T10:57:32.4008179Z 2022-12-01T10:57:32.4008309Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4008373Z ========== 2022-12-01T10:57:32.4008443Z ok (0.003s) 2022-12-01T10:57:32.4008622Z test_matmul_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4009034Z test_nested_tensor_add_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 578 2022-12-01T10:57:32.4009099Z due to: 2022-12-01T10:57:32.4009189Z Traceback (most recent call last): 2022-12-01T10:57:32.4009449Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4009596Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4009772Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4009777Z 2022-12-01T10:57:32.4009912Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4009917Z 2022-12-01T10:57:32.4010009Z Traceback (most recent call last): 2022-12-01T10:57:32.4010163Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4010214Z ) from e 2022-12-01T10:57:32.4010448Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4010453Z 2022-12-01T10:57:32.4010581Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4010644Z ========== 2022-12-01T10:57:32.4010708Z ok (0.023s) 2022-12-01T10:57:32.4010881Z test_nested_tensor_add_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:57:32.4011329Z test_nested_tensor_add_in_place_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 621 2022-12-01T10:57:32.4011394Z due to: 2022-12-01T10:57:32.4011471Z Traceback (most recent call last): 2022-12-01T10:57:32.4011792Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4011936Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4012113Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4012118Z 2022-12-01T10:57:32.4012257Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4012262Z 2022-12-01T10:57:32.4012352Z Traceback (most recent call last): 2022-12-01T10:57:32.4012543Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4012611Z ) from e 2022-12-01T10:57:32.4012833Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4012854Z 2022-12-01T10:57:32.4012972Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4013038Z ========== 2022-12-01T10:57:32.4013105Z ok (0.009s) 2022-12-01T10:57:32.4013289Z test_nested_tensor_add_in_place_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.067s) 2022-12-01T10:57:32.4013704Z test_nested_tensor_indexing_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nested_tensor_indexing test_nestedtensor.py line 533 2022-12-01T10:57:32.4013769Z due to: 2022-12-01T10:57:32.4013861Z Traceback (most recent call last): 2022-12-01T10:57:32.4014092Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4014214Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4014348Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4014353Z 2022-12-01T10:57:32.4014421Z from user code: 2022-12-01T10:57:32.4014554Z File "test_nestedtensor.py", line 536, in test_nested_tensor_indexing 2022-12-01T10:57:32.4014653Z nt0 = torch.nested.nested_tensor([]) 2022-12-01T10:57:32.4014658Z 2022-12-01T10:57:32.4014784Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4014843Z ========== 2022-12-01T10:57:32.4015061Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 537 2022-12-01T10:57:32.4015122Z due to: 2022-12-01T10:57:32.4015210Z Traceback (most recent call last): 2022-12-01T10:57:32.4015464Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4015607Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4015781Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4015785Z 2022-12-01T10:57:32.4015917Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4015921Z 2022-12-01T10:57:32.4016007Z Traceback (most recent call last): 2022-12-01T10:57:32.4016153Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4016215Z ) from e 2022-12-01T10:57:32.4016448Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4016453Z 2022-12-01T10:57:32.4016579Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4016641Z ========== 2022-12-01T10:57:32.4016866Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 545 2022-12-01T10:57:32.4016927Z due to: 2022-12-01T10:57:32.4017018Z Traceback (most recent call last): 2022-12-01T10:57:32.4017267Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4017407Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4017583Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4017617Z 2022-12-01T10:57:32.4017749Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4017754Z 2022-12-01T10:57:32.4017838Z Traceback (most recent call last): 2022-12-01T10:57:32.4017991Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4018054Z ) from e 2022-12-01T10:57:32.4018284Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4018290Z 2022-12-01T10:57:32.4018457Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4018507Z ========== 2022-12-01T10:57:32.4018737Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 546 2022-12-01T10:57:32.4018801Z due to: 2022-12-01T10:57:32.4018892Z Traceback (most recent call last): 2022-12-01T10:57:32.4019150Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4019295Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4019470Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4019475Z 2022-12-01T10:57:32.4019608Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4019613Z 2022-12-01T10:57:32.4019689Z Traceback (most recent call last): 2022-12-01T10:57:32.4019840Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4019902Z ) from e 2022-12-01T10:57:32.4020132Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4020136Z 2022-12-01T10:57:32.4020263Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4020323Z ========== 2022-12-01T10:57:32.4020554Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 547 2022-12-01T10:57:32.4020613Z due to: 2022-12-01T10:57:32.4020690Z Traceback (most recent call last): 2022-12-01T10:57:32.4020946Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4021089Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4021264Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4021268Z 2022-12-01T10:57:32.4021401Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4021408Z 2022-12-01T10:57:32.4021495Z Traceback (most recent call last): 2022-12-01T10:57:32.4021649Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4021711Z ) from e 2022-12-01T10:57:32.4021930Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4021938Z 2022-12-01T10:57:32.4022065Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4022125Z ========== 2022-12-01T10:57:32.4022352Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 548 2022-12-01T10:57:32.4022415Z due to: 2022-12-01T10:57:32.4022502Z Traceback (most recent call last): 2022-12-01T10:57:32.4022758Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4022900Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4023067Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4023072Z 2022-12-01T10:57:32.4023202Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4023314Z 2022-12-01T10:57:32.4023402Z Traceback (most recent call last): 2022-12-01T10:57:32.4023590Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4023654Z ) from e 2022-12-01T10:57:32.4023886Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4023891Z 2022-12-01T10:57:32.4024016Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4024077Z ========== 2022-12-01T10:57:32.4024295Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 549 2022-12-01T10:57:32.4024358Z due to: 2022-12-01T10:57:32.4024477Z Traceback (most recent call last): 2022-12-01T10:57:32.4024741Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4024883Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4025062Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4025070Z 2022-12-01T10:57:32.4025203Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4025208Z 2022-12-01T10:57:32.4025300Z Traceback (most recent call last): 2022-12-01T10:57:32.4025443Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4025505Z ) from e 2022-12-01T10:57:32.4025737Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4025742Z 2022-12-01T10:57:32.4025873Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4025934Z ========== 2022-12-01T10:57:32.4026162Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 555 2022-12-01T10:57:32.4026223Z due to: 2022-12-01T10:57:32.4026310Z Traceback (most recent call last): 2022-12-01T10:57:32.4026560Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4026702Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4026919Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4026924Z 2022-12-01T10:57:32.4027055Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4027060Z 2022-12-01T10:57:32.4027148Z Traceback (most recent call last): 2022-12-01T10:57:32.4027302Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4027364Z ) from e 2022-12-01T10:57:32.4027596Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4027601Z 2022-12-01T10:57:32.4027726Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4027775Z ========== 2022-12-01T10:57:32.4028003Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 556 2022-12-01T10:57:32.4028069Z due to: 2022-12-01T10:57:32.4028156Z Traceback (most recent call last): 2022-12-01T10:57:32.4028414Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4028554Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4028729Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4028734Z 2022-12-01T10:57:32.4028867Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4028871Z 2022-12-01T10:57:32.4028950Z Traceback (most recent call last): 2022-12-01T10:57:32.4029101Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4029162Z ) from e 2022-12-01T10:57:32.4029391Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4029426Z 2022-12-01T10:57:32.4029553Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4029612Z ========== 2022-12-01T10:57:32.4029674Z ok (0.042s) 2022-12-01T10:57:32.4029852Z test_nested_tensor_indexing_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:57:32.4030019Z test_nested_tensor_indexing_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.036s) 2022-12-01T10:57:32.4030209Z test_nested_tensor_indexing_noncontiguous_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:57:32.4030425Z test_nested_tensor_indexing_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4030618Z test_nested_tensor_indexing_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4031034Z test_nested_tensor_mul_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 588 2022-12-01T10:57:32.4031099Z due to: 2022-12-01T10:57:32.4031188Z Traceback (most recent call last): 2022-12-01T10:57:32.4031447Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4031589Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4031754Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4031759Z 2022-12-01T10:57:32.4031890Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4031895Z 2022-12-01T10:57:32.4031981Z Traceback (most recent call last): 2022-12-01T10:57:32.4032133Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4032194Z ) from e 2022-12-01T10:57:32.4032428Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4032435Z 2022-12-01T10:57:32.4032564Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4032627Z ========== 2022-12-01T10:57:32.4032844Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 609 2022-12-01T10:57:32.4032904Z due to: 2022-12-01T10:57:32.4032989Z Traceback (most recent call last): 2022-12-01T10:57:32.4033246Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4033392Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4033568Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4033573Z 2022-12-01T10:57:32.4033706Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4033711Z 2022-12-01T10:57:32.4033796Z Traceback (most recent call last): 2022-12-01T10:57:32.4033941Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4034000Z ) from e 2022-12-01T10:57:32.4034230Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4034236Z 2022-12-01T10:57:32.4034361Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4034422Z ========== 2022-12-01T10:57:32.4034649Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 614 2022-12-01T10:57:32.4034712Z due to: 2022-12-01T10:57:32.4034802Z Traceback (most recent call last): 2022-12-01T10:57:32.4035050Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4035190Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4035362Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4035394Z 2022-12-01T10:57:32.4035525Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4035530Z 2022-12-01T10:57:32.4035616Z Traceback (most recent call last): 2022-12-01T10:57:32.4035766Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4035827Z ) from e 2022-12-01T10:57:32.4036060Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4036065Z 2022-12-01T10:57:32.4036219Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4036271Z ========== 2022-12-01T10:57:32.4036334Z ok (0.020s) 2022-12-01T10:57:32.4036502Z test_nested_tensor_mul_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.015s) 2022-12-01T10:57:32.4036944Z test_nested_tensor_mul_in_place_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 631 2022-12-01T10:57:32.4037009Z due to: 2022-12-01T10:57:32.4037098Z Traceback (most recent call last): 2022-12-01T10:57:32.4037355Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4037496Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4037659Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4037664Z 2022-12-01T10:57:32.4037798Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4037802Z 2022-12-01T10:57:32.4037890Z Traceback (most recent call last): 2022-12-01T10:57:32.4038043Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4038105Z ) from e 2022-12-01T10:57:32.4038339Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4038345Z 2022-12-01T10:57:32.4038468Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4038529Z ========== 2022-12-01T10:57:32.4038747Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 648 2022-12-01T10:57:32.4038809Z due to: 2022-12-01T10:57:32.4038896Z Traceback (most recent call last): 2022-12-01T10:57:32.4039156Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4039298Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4039476Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4039480Z 2022-12-01T10:57:32.4039667Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4039671Z 2022-12-01T10:57:32.4039762Z Traceback (most recent call last): 2022-12-01T10:57:32.4039904Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4039968Z ) from e 2022-12-01T10:57:32.4040200Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4040206Z 2022-12-01T10:57:32.4040331Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4040390Z ========== 2022-12-01T10:57:32.4040619Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 655 2022-12-01T10:57:32.4040682Z due to: 2022-12-01T10:57:32.4040770Z Traceback (most recent call last): 2022-12-01T10:57:32.4041015Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4041156Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4041371Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4041376Z 2022-12-01T10:57:32.4041505Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4041510Z 2022-12-01T10:57:32.4041594Z Traceback (most recent call last): 2022-12-01T10:57:32.4041742Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4041803Z ) from e 2022-12-01T10:57:32.4042036Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4042041Z 2022-12-01T10:57:32.4042194Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4042244Z ========== 2022-12-01T10:57:32.4042473Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 660 2022-12-01T10:57:32.4042538Z due to: 2022-12-01T10:57:32.4042625Z Traceback (most recent call last): 2022-12-01T10:57:32.4042886Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4043025Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4043198Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4043203Z 2022-12-01T10:57:32.4043335Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4043340Z 2022-12-01T10:57:32.4043415Z Traceback (most recent call last): 2022-12-01T10:57:32.4043568Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4043632Z ) from e 2022-12-01T10:57:32.4043863Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4043869Z 2022-12-01T10:57:32.4043993Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4044056Z ========== 2022-12-01T10:57:32.4044116Z ok (0.022s) 2022-12-01T10:57:32.4044295Z test_nested_tensor_mul_in_place_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.017s) 2022-12-01T10:57:32.4044690Z test_nested_tensor_sum_dim_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 670 2022-12-01T10:57:32.4044753Z due to: 2022-12-01T10:57:32.4044841Z Traceback (most recent call last): 2022-12-01T10:57:32.4045097Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4045240Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4045416Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4045421Z 2022-12-01T10:57:32.4045553Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4045558Z 2022-12-01T10:57:32.4045645Z Traceback (most recent call last): 2022-12-01T10:57:32.4045786Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4045847Z ) from e 2022-12-01T10:57:32.4046080Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4046085Z 2022-12-01T10:57:32.4046212Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4046271Z ========== 2022-12-01T10:57:32.4046333Z ok (0.065s) 2022-12-01T10:57:32.4046812Z test_reshape_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1254 2022-12-01T10:57:32.4046876Z due to: 2022-12-01T10:57:32.4047064Z Traceback (most recent call last): 2022-12-01T10:57:32.4047354Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4047557Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4047736Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4047741Z 2022-12-01T10:57:32.4047873Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4047878Z 2022-12-01T10:57:32.4047966Z Traceback (most recent call last): 2022-12-01T10:57:32.4048121Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4048185Z ) from e 2022-12-01T10:57:32.4048459Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4048465Z 2022-12-01T10:57:32.4048582Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4048646Z ========== 2022-12-01T10:57:32.4048876Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1259 2022-12-01T10:57:32.4048940Z due to: 2022-12-01T10:57:32.4049027Z Traceback (most recent call last): 2022-12-01T10:57:32.4049286Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4049432Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4049606Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4049610Z 2022-12-01T10:57:32.4049731Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4049736Z 2022-12-01T10:57:32.4049823Z Traceback (most recent call last): 2022-12-01T10:57:32.4049976Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4050041Z ) from e 2022-12-01T10:57:32.4050272Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4050279Z 2022-12-01T10:57:32.4050408Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4050469Z ========== 2022-12-01T10:57:32.4050699Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1266 2022-12-01T10:57:32.4050749Z due to: 2022-12-01T10:57:32.4050836Z Traceback (most recent call last): 2022-12-01T10:57:32.4051094Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4051238Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4051415Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4051420Z 2022-12-01T10:57:32.4051552Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4051557Z 2022-12-01T10:57:32.4051642Z Traceback (most recent call last): 2022-12-01T10:57:32.4051796Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4051850Z ) from e 2022-12-01T10:57:32.4052081Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4052086Z 2022-12-01T10:57:32.4052213Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4052274Z ========== 2022-12-01T10:57:32.4052504Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1272 2022-12-01T10:57:32.4052565Z due to: 2022-12-01T10:57:32.4052650Z Traceback (most recent call last): 2022-12-01T10:57:32.4052906Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4053036Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4053210Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4053215Z 2022-12-01T10:57:32.4053376Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4053381Z 2022-12-01T10:57:32.4053469Z Traceback (most recent call last): 2022-12-01T10:57:32.4053621Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4053681Z ) from e 2022-12-01T10:57:32.4053912Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4053916Z 2022-12-01T10:57:32.4054042Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4054101Z ========== 2022-12-01T10:57:32.4054346Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1277 2022-12-01T10:57:32.4054408Z due to: 2022-12-01T10:57:32.4054493Z Traceback (most recent call last): 2022-12-01T10:57:32.4054749Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4054890Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4055062Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4055067Z 2022-12-01T10:57:32.4055198Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4055203Z 2022-12-01T10:57:32.4055286Z Traceback (most recent call last): 2022-12-01T10:57:32.4055430Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4055492Z ) from e 2022-12-01T10:57:32.4055723Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4055728Z 2022-12-01T10:57:32.4055853Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4055912Z ========== 2022-12-01T10:57:32.4056140Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1288 2022-12-01T10:57:32.4056204Z due to: 2022-12-01T10:57:32.4056290Z Traceback (most recent call last): 2022-12-01T10:57:32.4056537Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4056677Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4056854Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4056859Z 2022-12-01T10:57:32.4056992Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4056997Z 2022-12-01T10:57:32.4057084Z Traceback (most recent call last): 2022-12-01T10:57:32.4057240Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4057300Z ) from e 2022-12-01T10:57:32.4057532Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4057539Z 2022-12-01T10:57:32.4057655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4057714Z ========== 2022-12-01T10:57:32.4057980Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT noncontiguous_to_padded_tensor test_nestedtensor.py line 43 2022-12-01T10:57:32.4058041Z due to: 2022-12-01T10:57:32.4058131Z Traceback (most recent call last): 2022-12-01T10:57:32.4058388Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4058530Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4058704Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4058709Z 2022-12-01T10:57:32.4058828Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4058843Z 2022-12-01T10:57:32.4058918Z Traceback (most recent call last): 2022-12-01T10:57:32.4059067Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4059160Z ) from e 2022-12-01T10:57:32.4059391Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4059396Z 2022-12-01T10:57:32.4059527Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4059590Z ========== 2022-12-01T10:57:32.4059819Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1304 2022-12-01T10:57:32.4059869Z due to: 2022-12-01T10:57:32.4059958Z Traceback (most recent call last): 2022-12-01T10:57:32.4060238Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4060380Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4060553Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4060558Z 2022-12-01T10:57:32.4060691Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4060696Z 2022-12-01T10:57:32.4060781Z Traceback (most recent call last): 2022-12-01T10:57:32.4060931Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4060993Z ) from e 2022-12-01T10:57:32.4061212Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4061217Z 2022-12-01T10:57:32.4061345Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4061404Z ========== 2022-12-01T10:57:32.4061470Z ok (0.031s) 2022-12-01T10:57:32.4061628Z test_reshape_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:57:32.4061785Z test_reshape_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:57:32.4062224Z test_scaled_dot_product_attention_input_dim_3_cpu (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_scaled_dot_product_attention test_nestedtensor.py line 1307 2022-12-01T10:57:32.4062284Z due to: 2022-12-01T10:57:32.4062362Z Traceback (most recent call last): 2022-12-01T10:57:32.4062601Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4062718Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4062847Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4062852Z 2022-12-01T10:57:32.4062918Z from user code: 2022-12-01T10:57:32.4063059Z File "test_nestedtensor.py", line 1316, in test_scaled_dot_product_attention 2022-12-01T10:57:32.4063216Z query = torch.nested.nested_tensor([rand_tensor(2, E), rand_tensor(3, E), rand_tensor(4, E)]) 2022-12-01T10:57:32.4063221Z 2022-12-01T10:57:32.4063347Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4063398Z ========== 2022-12-01T10:57:32.4063461Z ok (0.044s) 2022-12-01T10:57:32.4063649Z test_scaled_dot_product_attention_input_dim_4_cpu (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.028s) 2022-12-01T10:57:32.4064035Z test_softmax_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 792 2022-12-01T10:57:32.4064095Z due to: 2022-12-01T10:57:32.4064183Z Traceback (most recent call last): 2022-12-01T10:57:32.4064443Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4064588Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4064752Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4064757Z 2022-12-01T10:57:32.4064889Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4064894Z 2022-12-01T10:57:32.4065012Z Traceback (most recent call last): 2022-12-01T10:57:32.4065164Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4065225Z ) from e 2022-12-01T10:57:32.4065454Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4065459Z 2022-12-01T10:57:32.4065584Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4065644Z ========== 2022-12-01T10:57:32.4065863Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 797 2022-12-01T10:57:32.4065953Z due to: 2022-12-01T10:57:32.4066041Z Traceback (most recent call last): 2022-12-01T10:57:32.4066296Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4066438Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4066610Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4066618Z 2022-12-01T10:57:32.4066748Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4066753Z 2022-12-01T10:57:32.4066841Z Traceback (most recent call last): 2022-12-01T10:57:32.4066998Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4067050Z ) from e 2022-12-01T10:57:32.4067282Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4067287Z 2022-12-01T10:57:32.4067415Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4067476Z ========== 2022-12-01T10:57:32.4067704Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 802 2022-12-01T10:57:32.4067765Z due to: 2022-12-01T10:57:32.4067853Z Traceback (most recent call last): 2022-12-01T10:57:32.4068103Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4068246Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4068417Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4068422Z 2022-12-01T10:57:32.4068551Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4068556Z 2022-12-01T10:57:32.4068641Z Traceback (most recent call last): 2022-12-01T10:57:32.4068796Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4068861Z ) from e 2022-12-01T10:57:32.4069092Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4069097Z 2022-12-01T10:57:32.4069222Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4069273Z ========== 2022-12-01T10:57:32.4069498Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 805 2022-12-01T10:57:32.4069559Z due to: 2022-12-01T10:57:32.4069646Z Traceback (most recent call last): 2022-12-01T10:57:32.4069903Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4070044Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4070218Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4070222Z 2022-12-01T10:57:32.4070355Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4070360Z 2022-12-01T10:57:32.4070436Z Traceback (most recent call last): 2022-12-01T10:57:32.4070588Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4070649Z ) from e 2022-12-01T10:57:32.4070878Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4070909Z 2022-12-01T10:57:32.4071037Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4071097Z ========== 2022-12-01T10:57:32.4071324Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 806 2022-12-01T10:57:32.4071386Z due to: 2022-12-01T10:57:32.4071462Z Traceback (most recent call last): 2022-12-01T10:57:32.4071720Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4071900Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4072078Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4072082Z 2022-12-01T10:57:32.4072214Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4072219Z 2022-12-01T10:57:32.4072305Z Traceback (most recent call last): 2022-12-01T10:57:32.4072460Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4072524Z ) from e 2022-12-01T10:57:32.4072740Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4072762Z 2022-12-01T10:57:32.4072877Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4072938Z ========== 2022-12-01T10:57:32.4073167Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 823 2022-12-01T10:57:32.4073231Z due to: 2022-12-01T10:57:32.4073325Z Traceback (most recent call last): 2022-12-01T10:57:32.4073585Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4073728Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4073890Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4073910Z 2022-12-01T10:57:32.4074032Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4074036Z 2022-12-01T10:57:32.4074125Z Traceback (most recent call last): 2022-12-01T10:57:32.4074280Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4074345Z ) from e 2022-12-01T10:57:32.4074574Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4074579Z 2022-12-01T10:57:32.4074708Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4074769Z ========== 2022-12-01T10:57:32.4074995Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 824 2022-12-01T10:57:32.4075045Z due to: 2022-12-01T10:57:32.4075132Z Traceback (most recent call last): 2022-12-01T10:57:32.4075393Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4075538Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4075714Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4075719Z 2022-12-01T10:57:32.4075851Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4075856Z 2022-12-01T10:57:32.4075944Z Traceback (most recent call last): 2022-12-01T10:57:32.4076097Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4076150Z ) from e 2022-12-01T10:57:32.4076382Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4076387Z 2022-12-01T10:57:32.4076514Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4076575Z ========== 2022-12-01T10:57:32.4076664Z ok (0.042s) 2022-12-01T10:57:32.4076827Z test_softmax_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.034s) 2022-12-01T10:57:32.4077239Z test_softmax_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_softmax_noncontiguous test_nestedtensor.py line 826 2022-12-01T10:57:32.4077303Z due to: 2022-12-01T10:57:32.4077381Z Traceback (most recent call last): 2022-12-01T10:57:32.4077549Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:32.4077693Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:32.4077775Z AssertionError: dtype 2022-12-01T10:57:32.4077780Z 2022-12-01T10:57:32.4077848Z from user code: 2022-12-01T10:57:32.4077982Z File "test_nestedtensor.py", line 829, in test_softmax_noncontiguous 2022-12-01T10:57:32.4078137Z nt_contiguous, nt_noncontiguous = random_nt_noncontiguous_pair((2, 3, 6, 7), device, dtype) 2022-12-01T10:57:32.4078144Z 2022-12-01T10:57:32.4078272Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4078321Z ========== 2022-12-01T10:57:32.4078384Z ok (0.002s) 2022-12-01T10:57:32.4078558Z test_softmax_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.001s) 2022-12-01T10:57:32.4078967Z test_to_padded_tensor_dim2_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_padded_tensor_dim2 test_nestedtensor.py line 454 2022-12-01T10:57:32.4079029Z due to: 2022-12-01T10:57:32.4079120Z Traceback (most recent call last): 2022-12-01T10:57:32.4079365Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4079481Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4079601Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4079606Z 2022-12-01T10:57:32.4079676Z from user code: 2022-12-01T10:57:32.4079806Z File "test_nestedtensor.py", line 461, in test_to_padded_tensor_dim2 2022-12-01T10:57:32.4079939Z nt = torch.nested.nested_tensor(ts, device=device, dtype=dtype) 2022-12-01T10:57:32.4079944Z 2022-12-01T10:57:32.4080072Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4080133Z ========== 2022-12-01T10:57:32.4080197Z ok (0.007s) 2022-12-01T10:57:32.4080360Z test_to_padded_tensor_dim2_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4080532Z test_to_padded_tensor_dim2_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4080942Z test_to_padded_tensor_dim3_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_padded_tensor_dim3 test_nestedtensor.py line 472 2022-12-01T10:57:32.4081007Z due to: 2022-12-01T10:57:32.4081096Z Traceback (most recent call last): 2022-12-01T10:57:32.4081339Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4081457Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4081586Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4081590Z 2022-12-01T10:57:32.4081658Z from user code: 2022-12-01T10:57:32.4081779Z File "test_nestedtensor.py", line 479, in test_to_padded_tensor_dim3 2022-12-01T10:57:32.4081911Z nt = torch.nested.nested_tensor(ts, device=device, dtype=dtype) 2022-12-01T10:57:32.4081916Z 2022-12-01T10:57:32.4082043Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4082105Z ========== 2022-12-01T10:57:32.4082169Z ok (0.007s) 2022-12-01T10:57:32.4082340Z test_to_padded_tensor_dim3_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4082511Z test_to_padded_tensor_dim3_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4082953Z test_to_padded_tensor_dim4_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_padded_tensor_dim4 test_nestedtensor.py line 490 2022-12-01T10:57:32.4083004Z due to: 2022-12-01T10:57:32.4083094Z Traceback (most recent call last): 2022-12-01T10:57:32.4083335Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4083452Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4083582Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4083588Z 2022-12-01T10:57:32.4083682Z from user code: 2022-12-01T10:57:32.4083817Z File "test_nestedtensor.py", line 497, in test_to_padded_tensor_dim4 2022-12-01T10:57:32.4083948Z nt = torch.nested.nested_tensor(ts, device=device, dtype=dtype) 2022-12-01T10:57:32.4083953Z 2022-12-01T10:57:32.4084069Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4084132Z ========== 2022-12-01T10:57:32.4084197Z ok (0.009s) 2022-12-01T10:57:32.4084371Z test_to_padded_tensor_dim4_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.003s) 2022-12-01T10:57:32.4084540Z test_to_padded_tensor_dim4_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:57:32.4084984Z test_to_padded_tensor_noncontiguous_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_padded_tensor_noncontiguous test_nestedtensor.py line 512 2022-12-01T10:57:32.4085051Z due to: 2022-12-01T10:57:32.4085142Z Traceback (most recent call last): 2022-12-01T10:57:32.4085301Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:32.4085424Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:32.4085506Z AssertionError: dtype 2022-12-01T10:57:32.4085511Z 2022-12-01T10:57:32.4085582Z from user code: 2022-12-01T10:57:32.4085729Z File "test_nestedtensor.py", line 515, in test_to_padded_tensor_noncontiguous 2022-12-01T10:57:32.4085885Z nt_contiguous, nt_noncontiguous = random_nt_noncontiguous_pair((2, 3, 6, 7), device, dtype) 2022-12-01T10:57:32.4085890Z 2022-12-01T10:57:32.4086019Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4086081Z ========== 2022-12-01T10:57:32.4086298Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 524 2022-12-01T10:57:32.4086361Z due to: 2022-12-01T10:57:32.4086452Z Traceback (most recent call last): 2022-12-01T10:57:32.4086795Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4086942Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4087241Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4087247Z 2022-12-01T10:57:32.4087384Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4087391Z 2022-12-01T10:57:32.4087483Z Traceback (most recent call last): 2022-12-01T10:57:32.4087626Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4087691Z ) from e 2022-12-01T10:57:32.4087927Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4087932Z 2022-12-01T10:57:32.4088061Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4088125Z ========== 2022-12-01T10:57:32.4088194Z ok (0.006s) 2022-12-01T10:57:32.4088386Z test_to_padded_tensor_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:57:32.4088577Z test_to_padded_tensor_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.005s) 2022-12-01T10:57:32.4088997Z test_to_padded_tensor_output_size_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_padded_tensor_output_size test_nestedtensor.py line 434 2022-12-01T10:57:32.4089115Z due to: 2022-12-01T10:57:32.4089207Z Traceback (most recent call last): 2022-12-01T10:57:32.4089451Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4089571Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4089705Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4089710Z 2022-12-01T10:57:32.4089780Z from user code: 2022-12-01T10:57:32.4089952Z File "test_nestedtensor.py", line 440, in test_to_padded_tensor_output_size 2022-12-01T10:57:32.4090073Z nt = torch.nested.nested_tensor(ts, device=device, dtype=dtype) 2022-12-01T10:57:32.4090078Z 2022-12-01T10:57:32.4090210Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4090275Z ========== 2022-12-01T10:57:32.4090344Z ok (0.009s) 2022-12-01T10:57:32.4090529Z test_to_padded_tensor_output_size_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4090944Z test_to_padded_tensor_simple_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_padded_tensor_simple test_nestedtensor.py line 415 2022-12-01T10:57:32.4091010Z due to: 2022-12-01T10:57:32.4091103Z Traceback (most recent call last): 2022-12-01T10:57:32.4091334Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4091456Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4091588Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4091593Z 2022-12-01T10:57:32.4091662Z from user code: 2022-12-01T10:57:32.4091798Z File "test_nestedtensor.py", line 420, in test_to_padded_tensor_simple 2022-12-01T10:57:32.4091931Z nt = torch.nested.nested_tensor(ts, device=device, dtype=dtype) 2022-12-01T10:57:32.4091938Z 2022-12-01T10:57:32.4092066Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4092128Z ========== 2022-12-01T10:57:32.4092182Z ok (0.008s) 2022-12-01T10:57:32.4092360Z test_to_padded_tensor_simple_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4092831Z test_to_then_from_padded_tensor_no_transform0213_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_then_from_padded_tensor_no_transform0213 test_nestedtensor.py line 365 2022-12-01T10:57:32.4092895Z due to: 2022-12-01T10:57:32.4092988Z Traceback (most recent call last): 2022-12-01T10:57:32.4093229Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4093347Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4093480Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4093487Z 2022-12-01T10:57:32.4093543Z from user code: 2022-12-01T10:57:32.4093699Z File "test_nestedtensor.py", line 371, in test_to_then_from_padded_tensor_no_transform0213 2022-12-01T10:57:32.4093833Z nt = torch.nested.nested_tensor(ts, device=device, dtype=dtype) 2022-12-01T10:57:32.4093837Z 2022-12-01T10:57:32.4093967Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4094029Z ========== 2022-12-01T10:57:32.4094095Z ok (0.008s) 2022-12-01T10:57:32.4094497Z test_transpose_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1136 2022-12-01T10:57:32.4094561Z due to: 2022-12-01T10:57:32.4094639Z Traceback (most recent call last): 2022-12-01T10:57:32.4094899Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4095045Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4095250Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4095255Z 2022-12-01T10:57:32.4095390Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4095395Z 2022-12-01T10:57:32.4095485Z Traceback (most recent call last): 2022-12-01T10:57:32.4095641Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4095705Z ) from e 2022-12-01T10:57:32.4095950Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4095959Z 2022-12-01T10:57:32.4109953Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4110042Z ========== 2022-12-01T10:57:32.4110324Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1141 2022-12-01T10:57:32.4110387Z due to: 2022-12-01T10:57:32.4110469Z Traceback (most recent call last): 2022-12-01T10:57:32.4110737Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4110873Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4111046Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4111054Z 2022-12-01T10:57:32.4111177Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4111183Z 2022-12-01T10:57:32.4111263Z Traceback (most recent call last): 2022-12-01T10:57:32.4111420Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4111484Z ) from e 2022-12-01T10:57:32.4111722Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4111728Z 2022-12-01T10:57:32.4111859Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4111921Z ========== 2022-12-01T10:57:32.4112143Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1146 2022-12-01T10:57:32.4112206Z due to: 2022-12-01T10:57:32.4112295Z Traceback (most recent call last): 2022-12-01T10:57:32.4112556Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4112698Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4112875Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4112882Z 2022-12-01T10:57:32.4113015Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4113020Z 2022-12-01T10:57:32.4113108Z Traceback (most recent call last): 2022-12-01T10:57:32.4113252Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4113319Z ) from e 2022-12-01T10:57:32.4113554Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4113559Z 2022-12-01T10:57:32.4113689Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4113750Z ========== 2022-12-01T10:57:32.4113984Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1149 2022-12-01T10:57:32.4114044Z due to: 2022-12-01T10:57:32.4114133Z Traceback (most recent call last): 2022-12-01T10:57:32.4114381Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4114526Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4114700Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4114705Z 2022-12-01T10:57:32.4114839Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4114925Z 2022-12-01T10:57:32.4115015Z Traceback (most recent call last): 2022-12-01T10:57:32.4115171Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4115236Z ) from e 2022-12-01T10:57:32.4115470Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4115474Z 2022-12-01T10:57:32.4115591Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4115654Z ========== 2022-12-01T10:57:32.4115913Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1150 2022-12-01T10:57:32.4115979Z due to: 2022-12-01T10:57:32.4116068Z Traceback (most recent call last): 2022-12-01T10:57:32.4116328Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4116472Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4116652Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4116657Z 2022-12-01T10:57:32.4116779Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4116795Z 2022-12-01T10:57:32.4116871Z Traceback (most recent call last): 2022-12-01T10:57:32.4117026Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4117087Z ) from e 2022-12-01T10:57:32.4117321Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4117326Z 2022-12-01T10:57:32.4117451Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4117511Z ========== 2022-12-01T10:57:32.4117575Z ok (0.028s) 2022-12-01T10:57:32.4117727Z test_transpose_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.024s) 2022-12-01T10:57:32.4117883Z test_transpose_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.023s) 2022-12-01T10:57:32.4118373Z test_transpose_inference_mode_interaction_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1160 2022-12-01T10:57:32.4118433Z due to: 2022-12-01T10:57:32.4118521Z Traceback (most recent call last): 2022-12-01T10:57:32.4118781Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4118928Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4119103Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4119109Z 2022-12-01T10:57:32.4119241Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4119246Z 2022-12-01T10:57:32.4119322Z Traceback (most recent call last): 2022-12-01T10:57:32.4119481Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4119539Z ) from e 2022-12-01T10:57:32.4119774Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4119779Z 2022-12-01T10:57:32.4119904Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4119966Z ========== 2022-12-01T10:57:32.4120030Z ok (0.011s) 2022-12-01T10:57:32.4120227Z test_transpose_inference_mode_interaction_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.009s) 2022-12-01T10:57:32.4120408Z test_transpose_inference_mode_interaction_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.008s) 2022-12-01T10:57:32.4120578Z test_unbind_noncontiguous_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.004s) 2022-12-01T10:57:32.4120749Z test_unbind_noncontiguous_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4120947Z test_unbind_noncontiguous_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4121328Z test_view_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1180 2022-12-01T10:57:32.4121391Z due to: 2022-12-01T10:57:32.4121481Z Traceback (most recent call last): 2022-12-01T10:57:32.4121739Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4121894Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4122074Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4122079Z 2022-12-01T10:57:32.4122212Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4122217Z 2022-12-01T10:57:32.4122309Z Traceback (most recent call last): 2022-12-01T10:57:32.4122463Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4122524Z ) from e 2022-12-01T10:57:32.4122757Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4122763Z 2022-12-01T10:57:32.4122893Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4122955Z ========== 2022-12-01T10:57:32.4123175Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1185 2022-12-01T10:57:32.4123238Z due to: 2022-12-01T10:57:32.4123325Z Traceback (most recent call last): 2022-12-01T10:57:32.4123585Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4123729Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4123907Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4123915Z 2022-12-01T10:57:32.4124047Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4124052Z 2022-12-01T10:57:32.4124140Z Traceback (most recent call last): 2022-12-01T10:57:32.4124283Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4124346Z ) from e 2022-12-01T10:57:32.4124579Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4124584Z 2022-12-01T10:57:32.4124714Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4124777Z ========== 2022-12-01T10:57:32.4125007Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1192 2022-12-01T10:57:32.4125069Z due to: 2022-12-01T10:57:32.4125154Z Traceback (most recent call last): 2022-12-01T10:57:32.4125404Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4125546Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4125721Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4125726Z 2022-12-01T10:57:32.4125859Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4125864Z 2022-12-01T10:57:32.4125951Z Traceback (most recent call last): 2022-12-01T10:57:32.4126104Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4126166Z ) from e 2022-12-01T10:57:32.4126401Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4126406Z 2022-12-01T10:57:32.4126608Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4126658Z ========== 2022-12-01T10:57:32.4126925Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1198 2022-12-01T10:57:32.4127115Z due to: 2022-12-01T10:57:32.4127211Z Traceback (most recent call last): 2022-12-01T10:57:32.4127474Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4127621Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4127797Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4127802Z 2022-12-01T10:57:32.4127971Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4127989Z 2022-12-01T10:57:32.4128065Z Traceback (most recent call last): 2022-12-01T10:57:32.4128221Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4128288Z ) from e 2022-12-01T10:57:32.4128519Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4128526Z 2022-12-01T10:57:32.4128655Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4128717Z ========== 2022-12-01T10:57:32.4128948Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1203 2022-12-01T10:57:32.4129013Z due to: 2022-12-01T10:57:32.4129138Z Traceback (most recent call last): 2022-12-01T10:57:32.4129400Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4129548Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4129725Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4129730Z 2022-12-01T10:57:32.4129862Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4129867Z 2022-12-01T10:57:32.4129955Z Traceback (most recent call last): 2022-12-01T10:57:32.4130113Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4130175Z ) from e 2022-12-01T10:57:32.4130396Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4130400Z 2022-12-01T10:57:32.4130527Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4130589Z ========== 2022-12-01T10:57:32.4130820Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1214 2022-12-01T10:57:32.4130881Z due to: 2022-12-01T10:57:32.4130971Z Traceback (most recent call last): 2022-12-01T10:57:32.4131228Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4131370Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4131535Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4131542Z 2022-12-01T10:57:32.4131677Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4131682Z 2022-12-01T10:57:32.4131769Z Traceback (most recent call last): 2022-12-01T10:57:32.4131923Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4131986Z ) from e 2022-12-01T10:57:32.4132217Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4132223Z 2022-12-01T10:57:32.4132353Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4132413Z ========== 2022-12-01T10:57:32.4132630Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nestedtensor.py line 1230 2022-12-01T10:57:32.4132692Z due to: 2022-12-01T10:57:32.4132780Z Traceback (most recent call last): 2022-12-01T10:57:32.4133037Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:32.4133237Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:32.4133412Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:32.4133417Z 2022-12-01T10:57:32.4133551Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:32.4133556Z 2022-12-01T10:57:32.4133642Z Traceback (most recent call last): 2022-12-01T10:57:32.4133784Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:32.4133873Z ) from e 2022-12-01T10:57:32.4134105Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:32.4134110Z 2022-12-01T10:57:32.4134238Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4134299Z ========== 2022-12-01T10:57:32.4134366Z ok (0.040s) 2022-12-01T10:57:32.4134521Z test_view_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.033s) 2022-12-01T10:57:32.4134673Z test_view_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.033s) 2022-12-01T10:57:32.4135118Z test_view_inference_mode_interaction_cpu_float16 (__main__.TestNestedTensorDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_view_inference_mode_interaction test_nestedtensor.py line 1233 2022-12-01T10:57:32.4135169Z due to: 2022-12-01T10:57:32.4135259Z Traceback (most recent call last): 2022-12-01T10:57:32.4135503Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 407, in nyi 2022-12-01T10:57:32.4135622Z assert func not in _device_not_kwarg_ops, f"NYI: {func}" 2022-12-01T10:57:32.4135754Z AssertionError: NYI: aten._nested_tensor_from_tensor_list.default 2022-12-01T10:57:32.4135760Z 2022-12-01T10:57:32.4135828Z from user code: 2022-12-01T10:57:32.4135973Z File "test_nestedtensor.py", line 1236, in test_view_inference_mode_interaction 2022-12-01T10:57:32.4136147Z nt = torch.nested.nested_tensor([torch.randn((2, 20)), torch.randn((3, 20))], device=device, dtype=dtype) 2022-12-01T10:57:32.4136152Z 2022-12-01T10:57:32.4136267Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:32.4136327Z ========== 2022-12-01T10:57:32.4136393Z ok (0.006s) 2022-12-01T10:57:32.4136581Z test_view_inference_mode_interaction_cpu_float32 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4136772Z test_view_inference_mode_interaction_cpu_float64 (__main__.TestNestedTensorDeviceTypeCPU) ... ok (0.002s) 2022-12-01T10:57:32.4136777Z 2022-12-01T10:57:32.4136974Z ---------------------------------------------------------------------- 2022-12-01T10:57:32.4137049Z Ran 124 tests in 2.011s 2022-12-01T10:57:32.4137053Z 2022-12-01T10:57:32.4137112Z OK 2022-12-01T10:57:32.4137117Z 2022-12-01T10:57:32.4137188Z Generating XML reports... 2022-12-01T10:57:32.4137485Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensor-20221201105730.xml 2022-12-01T10:57:32.4137805Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorAutograd-20221201105730.xml 2022-12-01T10:57:32.4138136Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorDeviceTypeCPU-20221201105730.xml 2022-12-01T10:57:32.4138141Z 2022-12-01T10:57:32.4138458Z ##[endgroup] 2022-12-01T10:57:32.4138748Z FINISHED PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_udvv2qqm) 2022-12-01T10:57:32.4138753Z 2022-12-01T10:57:32.4138915Z Running test_datapipe ... [2022-12-01 10:57:32.365377] 2022-12-01T10:57:32.4139248Z Executing ['/opt/conda/bin/python', '-bb', 'test_datapipe.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:32.365683] 2022-12-01T10:57:39.2786863Z 2022-12-01T10:57:39.2787386Z Expand the folded group to see the log file of test_datapipe 2022-12-01T10:57:39.2788721Z ##[group]PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_m_0z5mui) 2022-12-01T10:57:39.2789218Z 2022-12-01T10:57:39.2789316Z Running tests... 2022-12-01T10:57:39.2789975Z ---------------------------------------------------------------------- 2022-12-01T10:57:39.2790798Z test_basic_capture (__main__.TestCaptureDataFrame) ... Test results will be stored in test-reports/python-unittest/test_datapipe 2022-12-01T10:57:39.2791295Z skip: no dataframes (pandas) (0.002s) 2022-12-01T10:57:39.2791863Z test_circular_serialization_with_dill (__main__.TestCircularSerialization) ... skip: no dill (0.002s) 2022-12-01T10:57:39.2792871Z test_circular_serialization_with_pickle (__main__.TestCircularSerialization) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_circular_serialization_with_pickle test_datapipe.py line 2525 2022-12-01T10:57:39.2793416Z due to: 2022-12-01T10:57:39.2793695Z Traceback (most recent call last): 2022-12-01T10:57:39.2794178Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:57:39.2794647Z return super().call_method(tx, args, kwargs) 2022-12-01T10:57:39.2795186Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:57:39.2795463Z 2022-12-01T10:57:39.2795583Z from user code: 2022-12-01T10:57:39.2795966Z File "test_datapipe.py", line 2527, in test_circular_serialization_with_pickle 2022-12-01T10:57:39.2796518Z dp1 = TestCircularSerialization.CustomIterDataPipe(fn=_fake_fn) 2022-12-01T10:57:39.2796829Z 2022-12-01T10:57:39.2797024Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2797335Z ========== 2022-12-01T10:57:39.2797816Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ test_datapipe.py line 2516 2022-12-01T10:57:39.2798167Z due to: 2022-12-01T10:57:39.2798463Z Traceback (most recent call last): 2022-12-01T10:57:39.2798943Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2799724Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2800829Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2801498Z 2022-12-01T10:57:39.2801609Z from user code: 2022-12-01T10:57:39.2801969Z File "test_datapipe.py", line 2518, in __init__ 2022-12-01T10:57:39.2802461Z self.source_dp = source_dp if source_dp else dp.iter.IterableWrapper([1, 2, 4]) 2022-12-01T10:57:39.2802785Z 2022-12-01T10:57:39.2803020Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2803402Z ========== 2022-12-01T10:57:39.2804377Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py:263: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-12-01T10:57:39.2805165Z "the buffer and each child DataPipe will read from the start again.", UserWarning) 2022-12-01T10:57:39.2806270Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py:263: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-12-01T10:57:39.2807358Z "the buffer and each child DataPipe will read from the start again.", UserWarning) 2022-12-01T10:57:39.2807768Z ok (3.907s) 2022-12-01T10:57:39.2808443Z test_as_string (__main__.TestDataChunk) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_datapipe.py line 138 2022-12-01T10:57:39.2808925Z due to: 2022-12-01T10:57:39.2809203Z Traceback (most recent call last): 2022-12-01T10:57:39.2809629Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2810460Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2811069Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:57:39.2811332Z 2022-12-01T10:57:39.2811429Z from user code: 2022-12-01T10:57:39.2811727Z File "test_datapipe.py", line 139, in 2022-12-01T10:57:39.2812103Z self.chunk: DataChunk[int] = DataChunk(self.elements) 2022-12-01T10:57:39.2812309Z 2022-12-01T10:57:39.2812493Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2812773Z ========== 2022-12-01T10:57:39.2813390Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_datapipe.py line 153 2022-12-01T10:57:39.2813756Z due to: 2022-12-01T10:57:39.2814005Z Traceback (most recent call last): 2022-12-01T10:57:39.2814369Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2814960Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2815550Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:57:39.2815808Z 2022-12-01T10:57:39.2815891Z from user code: 2022-12-01T10:57:39.2816206Z File "test_datapipe.py", line 156, in 2022-12-01T10:57:39.2816594Z chunks: List[DataChunk[int]] = [DataChunk(self.elements)] * 3 2022-12-01T10:57:39.2816806Z 2022-12-01T10:57:39.2816988Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2817274Z ========== 2022-12-01T10:57:39.2817494Z ok (0.103s) 2022-12-01T10:57:39.2817776Z test_getitem (__main__.TestDataChunk) ... ok (0.001s) 2022-12-01T10:57:39.2818097Z test_iter (__main__.TestDataChunk) ... ok (0.001s) 2022-12-01T10:57:39.2818420Z test_len (__main__.TestDataChunk) ... ok (0.001s) 2022-12-01T10:57:39.2819053Z test_random_shuffle (__main__.TestDataChunk) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_random_shuffle test_datapipe.py line 173 2022-12-01T10:57:39.2819441Z due to: 2022-12-01T10:57:39.2819693Z Traceback (most recent call last): 2022-12-01T10:57:39.2820239Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2820816Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2821404Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:57:39.2821667Z 2022-12-01T10:57:39.2821770Z from user code: 2022-12-01T10:57:39.2822076Z File "test_datapipe.py", line 175, in test_random_shuffle 2022-12-01T10:57:39.2822402Z chunk: DataChunk[int] = DataChunk(elements) 2022-12-01T10:57:39.2822588Z 2022-12-01T10:57:39.2822768Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2823069Z ========== 2022-12-01T10:57:39.2823273Z ok (0.002s) 2022-12-01T10:57:39.2823830Z test_reverse (__main__.TestDataChunk) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_reverse test_datapipe.py line 166 2022-12-01T10:57:39.2824221Z due to: 2022-12-01T10:57:39.2824453Z Traceback (most recent call last): 2022-12-01T10:57:39.2824830Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2825418Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2826001Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:57:39.2826263Z 2022-12-01T10:57:39.2826345Z from user code: 2022-12-01T10:57:39.2826631Z File "test_datapipe.py", line 167, in test_reverse 2022-12-01T10:57:39.2826973Z chunk: DataChunk[int] = DataChunk(self.elements) 2022-12-01T10:57:39.2827173Z 2022-12-01T10:57:39.2827336Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2827747Z ========== 2022-12-01T10:57:39.2827973Z ok (0.002s) 2022-12-01T10:57:39.2828501Z test_sort (__main__.TestDataChunk) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sort test_datapipe.py line 159 2022-12-01T10:57:39.2828865Z due to: 2022-12-01T10:57:39.2829117Z Traceback (most recent call last): 2022-12-01T10:57:39.2829498Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2830069Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2830737Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:57:39.2830993Z 2022-12-01T10:57:39.2831094Z from user code: 2022-12-01T10:57:39.2831366Z File "test_datapipe.py", line 160, in test_sort 2022-12-01T10:57:39.2831710Z chunk: DataChunk[int] = DataChunk(self.elements) 2022-12-01T10:57:39.2831905Z 2022-12-01T10:57:39.2832087Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2832385Z ========== 2022-12-01T10:57:39.2832589Z ok (0.002s) 2022-12-01T10:57:39.2832934Z test_batch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s) 2022-12-01T10:57:39.2833386Z test_capture (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s) 2022-12-01T10:57:39.2833849Z test_collate (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s) 2022-12-01T10:57:39.2834310Z test_filter (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-12-01T10:57:39.2834776Z test_shuffle (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-12-01T10:57:39.2835245Z test_unbatch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-12-01T10:57:39.2836027Z test_batch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_batch_iterdatapipe test_datapipe.py line 1455 2022-12-01T10:57:39.2836487Z due to: 2022-12-01T10:57:39.2836736Z Traceback (most recent call last): 2022-12-01T10:57:39.2837098Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2837718Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2838586Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2839058Z 2022-12-01T10:57:39.2839156Z from user code: 2022-12-01T10:57:39.2839461Z File "test_datapipe.py", line 1457, in test_batch_iterdatapipe 2022-12-01T10:57:39.2839825Z input_dp = dp.iter.IterableWrapper(arrs) 2022-12-01T10:57:39.2840021Z 2022-12-01T10:57:39.2840202Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2840495Z ========== 2022-12-01T10:57:39.2840714Z ok (0.006s) 2022-12-01T10:57:39.2841388Z test_collate_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_collate_iterdatapipe test_datapipe.py line 1415 2022-12-01T10:57:39.2841858Z due to: 2022-12-01T10:57:39.2842096Z Traceback (most recent call last): 2022-12-01T10:57:39.2842477Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2843067Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2843912Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2844408Z 2022-12-01T10:57:39.2844508Z from user code: 2022-12-01T10:57:39.2844823Z File "test_datapipe.py", line 1417, in test_collate_iterdatapipe 2022-12-01T10:57:39.2845204Z input_dp = dp.iter.IterableWrapper(arrs) 2022-12-01T10:57:39.2845392Z 2022-12-01T10:57:39.2845584Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2845955Z ========== 2022-12-01T10:57:39.2846760Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2847471Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2848270Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2848933Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2849682Z ok (0.027s) 2022-12-01T10:57:39.2850334Z test_concat_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_concat_iterdatapipe test_datapipe.py line 823 2022-12-01T10:57:39.2850792Z due to: 2022-12-01T10:57:39.2851071Z Traceback (most recent call last): 2022-12-01T10:57:39.2851460Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2851869Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2852314Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2852543Z 2022-12-01T10:57:39.2852639Z from user code: 2022-12-01T10:57:39.2852933Z File "test_datapipe.py", line 824, in test_concat_iterdatapipe 2022-12-01T10:57:39.2853322Z input_dp1 = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2853556Z 2022-12-01T10:57:39.2853757Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2854087Z ========== 2022-12-01T10:57:39.2854353Z ok (0.006s) 2022-12-01T10:57:39.2855149Z test_demux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_demux_iterdatapipe test_datapipe.py line 1027 2022-12-01T10:57:39.2855574Z due to: 2022-12-01T10:57:39.2855759Z Traceback (most recent call last): 2022-12-01T10:57:39.2856042Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2856328Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2856627Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2856781Z 2022-12-01T10:57:39.2856851Z from user code: 2022-12-01T10:57:39.2857078Z File "test_datapipe.py", line 1028, in test_demux_iterdatapipe 2022-12-01T10:57:39.2857331Z input_dp = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2857479Z 2022-12-01T10:57:39.2857610Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2857827Z ========== 2022-12-01T10:57:39.2858329Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2858746Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2859315Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2859723Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2860270Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2860681Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2861244Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2861652Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2862309Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2862713Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2863270Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2863682Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2864280Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2864688Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2865245Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2865654Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2866211Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2866609Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2867164Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2867569Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2868256Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2868663Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2868873Z ok (0.534s) 2022-12-01T10:57:39.2869333Z test_filter_datapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_filter_datapipe test_datapipe.py line 1555 2022-12-01T10:57:39.2869647Z due to: 2022-12-01T10:57:39.2869833Z Traceback (most recent call last): 2022-12-01T10:57:39.2870112Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2870400Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2870698Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2870855Z 2022-12-01T10:57:39.2870923Z from user code: 2022-12-01T10:57:39.2871144Z File "test_datapipe.py", line 1556, in test_filter_datapipe 2022-12-01T10:57:39.2871397Z input_ds = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2871545Z 2022-12-01T10:57:39.2871677Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2871892Z ========== 2022-12-01T10:57:39.2872388Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2872803Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2873365Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2873767Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2874313Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2874764Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2875319Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2875721Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2876299Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2876711Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2877270Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2877681Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2878226Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2878638Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2878844Z ok (0.013s) 2022-12-01T10:57:39.2879316Z test_fork_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fork_iterdatapipe test_datapipe.py line 854 2022-12-01T10:57:39.2879638Z due to: 2022-12-01T10:57:39.2879817Z Traceback (most recent call last): 2022-12-01T10:57:39.2880095Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2880363Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2880669Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2880826Z 2022-12-01T10:57:39.2880893Z from user code: 2022-12-01T10:57:39.2881116Z File "test_datapipe.py", line 855, in test_fork_iterdatapipe 2022-12-01T10:57:39.2881368Z input_dp = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2881517Z 2022-12-01T10:57:39.2881646Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2881860Z ========== 2022-12-01T10:57:39.2882003Z ok (0.019s) 2022-12-01T10:57:39.2882495Z test_iterable_wrapper_datapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_iterable_wrapper_datapipe test_datapipe.py line 792 2022-12-01T10:57:39.2882839Z due to: 2022-12-01T10:57:39.2883006Z Traceback (most recent call last): 2022-12-01T10:57:39.2883281Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2883706Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2884347Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2884698Z 2022-12-01T10:57:39.2884759Z from user code: 2022-12-01T10:57:39.2884994Z File "test_datapipe.py", line 795, in test_iterable_wrapper_datapipe 2022-12-01T10:57:39.2885268Z input_dp = dp.iter.IterableWrapper(input_ls) 2022-12-01T10:57:39.2885416Z 2022-12-01T10:57:39.2885533Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2885748Z ========== 2022-12-01T10:57:39.2885905Z ok (0.005s) 2022-12-01T10:57:39.2886369Z test_map_dict_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _helper test_datapipe.py line 1346 2022-12-01T10:57:39.2886764Z due to: 2022-12-01T10:57:39.2887046Z Traceback (most recent call last): 2022-12-01T10:57:39.2887365Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2887855Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2888501Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2888851Z 2022-12-01T10:57:39.2888923Z from user code: 2022-12-01T10:57:39.2889133Z File "test_datapipe.py", line 1350, in _helper 2022-12-01T10:57:39.2889331Z {"x": 6, "y": 7, "z": 8}] 2022-12-01T10:57:39.2889443Z 2022-12-01T10:57:39.2889647Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2889870Z ========== 2022-12-01T10:57:39.2890016Z ok (0.026s) 2022-12-01T10:57:39.2890485Z test_map_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_map_iterdatapipe test_datapipe.py line 1163 2022-12-01T10:57:39.2890820Z due to: 2022-12-01T10:57:39.2890990Z Traceback (most recent call last): 2022-12-01T10:57:39.2891268Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2891553Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2891866Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2892006Z 2022-12-01T10:57:39.2892077Z from user code: 2022-12-01T10:57:39.2892302Z File "test_datapipe.py", line 1165, in test_map_iterdatapipe 2022-12-01T10:57:39.2892580Z input_dp = dp.iter.IterableWrapper(range(target_length)) 2022-12-01T10:57:39.2892737Z 2022-12-01T10:57:39.2892858Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2893073Z ========== 2022-12-01T10:57:39.2893586Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2894009Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2894556Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2894964Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2895171Z ok (0.029s) 2022-12-01T10:57:39.2895631Z test_map_tuple_list_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _helper test_datapipe.py line 1232 2022-12-01T10:57:39.2896137Z due to: 2022-12-01T10:57:39.2896448Z Traceback (most recent call last): 2022-12-01T10:57:39.2896774Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2897197Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2897842Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2898196Z 2022-12-01T10:57:39.2898266Z from user code: 2022-12-01T10:57:39.2898462Z File "test_datapipe.py", line 1234, in _helper 2022-12-01T10:57:39.2898754Z datapipe = dp.iter.IterableWrapper([constr((0, 1, 2)), constr((3, 4, 5)), constr((6, 7, 8))]) 2022-12-01T10:57:39.2898932Z 2022-12-01T10:57:39.2899063Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2899279Z ========== 2022-12-01T10:57:39.2899423Z ok (0.046s) 2022-12-01T10:57:39.2899888Z test_mux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mux_iterdatapipe test_datapipe.py line 993 2022-12-01T10:57:39.2900223Z due to: 2022-12-01T10:57:39.2900393Z Traceback (most recent call last): 2022-12-01T10:57:39.2900675Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2901002Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2901298Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2901451Z 2022-12-01T10:57:39.2901520Z from user code: 2022-12-01T10:57:39.2901738Z File "test_datapipe.py", line 996, in test_mux_iterdatapipe 2022-12-01T10:57:39.2901998Z input_dp1 = dp.iter.IterableWrapper(range(4)) 2022-12-01T10:57:39.2902133Z 2022-12-01T10:57:39.2902262Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2902478Z ========== 2022-12-01T10:57:39.2902635Z ok (0.005s) 2022-12-01T10:57:39.2903141Z test_sampler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sampler_iterdatapipe test_datapipe.py line 1624 2022-12-01T10:57:39.2903485Z due to: 2022-12-01T10:57:39.2903661Z Traceback (most recent call last): 2022-12-01T10:57:39.2903926Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2904208Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2904519Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2904670Z 2022-12-01T10:57:39.2904738Z from user code: 2022-12-01T10:57:39.2904953Z File "test_datapipe.py", line 1625, in test_sampler_iterdatapipe 2022-12-01T10:57:39.2905223Z input_dp = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2905371Z 2022-12-01T10:57:39.2905502Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2905706Z ========== 2022-12-01T10:57:39.2905865Z ok (0.003s) 2022-12-01T10:57:39.2906313Z test_serializable (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serializable test_datapipe.py line 695 2022-12-01T10:57:39.2906624Z due to: 2022-12-01T10:57:39.2906804Z Traceback (most recent call last): 2022-12-01T10:57:39.2907077Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2907360Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2907657Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2907810Z 2022-12-01T10:57:39.2907879Z from user code: 2022-12-01T10:57:39.2908095Z File "test_datapipe.py", line 699, in test_serializable 2022-12-01T10:57:39.2908366Z (dp.iter.Concater, None, (dp.iter.IterableWrapper(range(5)),), {}), 2022-12-01T10:57:39.2908539Z 2022-12-01T10:57:39.2908668Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2908882Z ========== 2022-12-01T10:57:39.2909453Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py:263: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-12-01T10:57:39.2909934Z "the buffer and each child DataPipe will read from the start again.", UserWarning) 2022-12-01T10:57:39.2910585Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py:263: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-12-01T10:57:39.2911058Z "the buffer and each child DataPipe will read from the start again.", UserWarning) 2022-12-01T10:57:39.2911292Z ok (0.055s) 2022-12-01T10:57:39.2911518Z test_serializable_with_dill (__main__.TestFunctionalIterDataPipe) 2022-12-01T10:57:39.2912042Z Only for DataPipes that take in a function as argument ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serializable_with_dill test_datapipe.py line 736 2022-12-01T10:57:39.2912355Z due to: 2022-12-01T10:57:39.2912522Z Traceback (most recent call last): 2022-12-01T10:57:39.2912799Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2913080Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2913409Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2913561Z 2022-12-01T10:57:39.2913630Z from user code: 2022-12-01T10:57:39.2913855Z File "test_datapipe.py", line 738, in test_serializable_with_dill 2022-12-01T10:57:39.2914129Z input_dp = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2914265Z 2022-12-01T10:57:39.2914395Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2914608Z ========== 2022-12-01T10:57:39.2914765Z ok (0.018s) 2022-12-01T10:57:39.2915264Z test_shuffler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shuffler_iterdatapipe test_datapipe.py line 1659 2022-12-01T10:57:39.2915602Z due to: 2022-12-01T10:57:39.2915786Z Traceback (most recent call last): 2022-12-01T10:57:39.2916048Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2916472Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2917117Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2917467Z 2022-12-01T10:57:39.2917537Z from user code: 2022-12-01T10:57:39.2917756Z File "test_datapipe.py", line 1660, in test_shuffler_iterdatapipe 2022-12-01T10:57:39.2918033Z input_dp = dp.iter.IterableWrapper(list(range(10))) 2022-12-01T10:57:39.2918185Z 2022-12-01T10:57:39.2918314Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2918528Z ========== 2022-12-01T10:57:39.2918670Z ok (0.012s) 2022-12-01T10:57:39.2918931Z test_stream_reader_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.020s) 2022-12-01T10:57:39.2919502Z test_unbatch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_unbatch_iterdatapipe test_datapipe.py line 1494 2022-12-01T10:57:39.2919828Z due to: 2022-12-01T10:57:39.2920010Z Traceback (most recent call last): 2022-12-01T10:57:39.2920283Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2920552Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2920863Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2921015Z 2022-12-01T10:57:39.2921086Z from user code: 2022-12-01T10:57:39.2921312Z File "test_datapipe.py", line 1496, in test_unbatch_iterdatapipe 2022-12-01T10:57:39.2921591Z prebatch_dp = dp.iter.IterableWrapper(range(target_length)) 2022-12-01T10:57:39.2921755Z 2022-12-01T10:57:39.2921887Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2922100Z ========== 2022-12-01T10:57:39.2922241Z ok (0.008s) 2022-12-01T10:57:39.2922484Z test_zip_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.012s) 2022-12-01T10:57:39.2923028Z test_batch_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_batch_mapdatapipe test_datapipe.py line 1986 2022-12-01T10:57:39.2923350Z due to: 2022-12-01T10:57:39.2923529Z Traceback (most recent call last): 2022-12-01T10:57:39.2923803Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2924232Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2924849Z AssertionError: torch.* op returned non-Tensor SequenceWrapperMapDataPipe call_function 2022-12-01T10:57:39.2925192Z 2022-12-01T10:57:39.2925261Z from user code: 2022-12-01T10:57:39.2925487Z File "test_datapipe.py", line 1988, in test_batch_mapdatapipe 2022-12-01T10:57:39.2925733Z input_dp = dp.map.SequenceWrapper(arr) 2022-12-01T10:57:39.2925876Z 2022-12-01T10:57:39.2926005Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2926254Z ========== 2022-12-01T10:57:39.2926406Z ok (0.006s) 2022-12-01T10:57:39.2927069Z test_concat_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_concat_mapdatapipe test_datapipe.py line 1858 2022-12-01T10:57:39.2927428Z due to: 2022-12-01T10:57:39.2927612Z Traceback (most recent call last): 2022-12-01T10:57:39.2927879Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2928165Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2928566Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2928726Z 2022-12-01T10:57:39.2928783Z from user code: 2022-12-01T10:57:39.2929013Z File "test_datapipe.py", line 1859, in test_concat_mapdatapipe 2022-12-01T10:57:39.2929284Z input_dp1 = dp.map.SequenceWrapper(range(10)) 2022-12-01T10:57:39.2929436Z 2022-12-01T10:57:39.2929568Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2929778Z ========== 2022-12-01T10:57:39.2929938Z ok (0.004s) 2022-12-01T10:57:39.2930401Z test_map_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_map_mapdatapipe test_datapipe.py line 1964 2022-12-01T10:57:39.2930713Z due to: 2022-12-01T10:57:39.2930894Z Traceback (most recent call last): 2022-12-01T10:57:39.2931168Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2931441Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2931753Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2931905Z 2022-12-01T10:57:39.2931973Z from user code: 2022-12-01T10:57:39.2932194Z File "test_datapipe.py", line 1966, in test_map_mapdatapipe 2022-12-01T10:57:39.2932434Z input_dp = dp.map.SequenceWrapper(arr) 2022-12-01T10:57:39.2932575Z 2022-12-01T10:57:39.2932706Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2932921Z ========== 2022-12-01T10:57:39.2933423Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2933838Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2934397Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2934811Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2935009Z ok (0.026s) 2022-12-01T10:57:39.2935497Z test_sequence_wrapper_datapipe (__main__.TestFunctionalMapDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sequence_wrapper_datapipe test_datapipe.py line 1831 2022-12-01T10:57:39.2935840Z due to: 2022-12-01T10:57:39.2936010Z Traceback (most recent call last): 2022-12-01T10:57:39.2936283Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2936710Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2937339Z AssertionError: torch.* op returned non-Tensor SequenceWrapperMapDataPipe call_function 2022-12-01T10:57:39.2937677Z 2022-12-01T10:57:39.2937733Z from user code: 2022-12-01T10:57:39.2937968Z File "test_datapipe.py", line 1833, in test_sequence_wrapper_datapipe 2022-12-01T10:57:39.2938236Z input_dp = dp.map.SequenceWrapper(seq) 2022-12-01T10:57:39.2938378Z 2022-12-01T10:57:39.2938496Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2938710Z ========== 2022-12-01T10:57:39.2938865Z ok (0.004s) 2022-12-01T10:57:39.2939310Z test_serializable (__main__.TestFunctionalMapDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serializable test_datapipe.py line 1775 2022-12-01T10:57:39.2939663Z due to: 2022-12-01T10:57:39.2939842Z Traceback (most recent call last): 2022-12-01T10:57:39.2940116Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2940384Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2940692Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2940852Z 2022-12-01T10:57:39.2940921Z from user code: 2022-12-01T10:57:39.2941126Z File "test_datapipe.py", line 1778, in test_serializable 2022-12-01T10:57:39.2941445Z (dp.map.Concater, None, (dp.map.SequenceWrapper(range(10)),), {}), 2022-12-01T10:57:39.2941616Z 2022-12-01T10:57:39.2941744Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2941962Z ========== 2022-12-01T10:57:39.2942104Z ok (0.014s) 2022-12-01T10:57:39.2942340Z test_serializable_with_dill (__main__.TestFunctionalMapDataPipe) 2022-12-01T10:57:39.2942860Z Only for DataPipes that take in a function as argument ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_serializable_with_dill test_datapipe.py line 1792 2022-12-01T10:57:39.2943160Z due to: 2022-12-01T10:57:39.2943340Z Traceback (most recent call last): 2022-12-01T10:57:39.2943616Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2943885Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2944192Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2944346Z 2022-12-01T10:57:39.2944415Z from user code: 2022-12-01T10:57:39.2944647Z File "test_datapipe.py", line 1794, in test_serializable_with_dill 2022-12-01T10:57:39.2944906Z input_dp = dp.map.SequenceWrapper(range(10)) 2022-12-01T10:57:39.2945056Z 2022-12-01T10:57:39.2945185Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2945399Z ========== 2022-12-01T10:57:39.2945546Z ok (0.006s) 2022-12-01T10:57:39.2946020Z test_shuffler_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shuffler_mapdatapipe test_datapipe.py line 1909 2022-12-01T10:57:39.2946356Z due to: 2022-12-01T10:57:39.2946526Z Traceback (most recent call last): 2022-12-01T10:57:39.2946800Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2947081Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2947389Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2947531Z 2022-12-01T10:57:39.2947603Z from user code: 2022-12-01T10:57:39.2947831Z File "test_datapipe.py", line 1910, in test_shuffler_mapdatapipe 2022-12-01T10:57:39.2948101Z input_dp1 = dp.map.SequenceWrapper(range(10)) 2022-12-01T10:57:39.2948247Z 2022-12-01T10:57:39.2948364Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2948580Z ========== 2022-12-01T10:57:39.2948736Z ok (0.007s) 2022-12-01T10:57:39.2949183Z test_zip_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_zip_mapdatapipe test_datapipe.py line 1874 2022-12-01T10:57:39.2949512Z due to: 2022-12-01T10:57:39.2949692Z Traceback (most recent call last): 2022-12-01T10:57:39.2949967Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2950236Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2950542Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2950694Z 2022-12-01T10:57:39.2950766Z from user code: 2022-12-01T10:57:39.2950975Z File "test_datapipe.py", line 1875, in test_zip_mapdatapipe 2022-12-01T10:57:39.2951235Z input_dp1 = dp.map.SequenceWrapper(range(10)) 2022-12-01T10:57:39.2951381Z 2022-12-01T10:57:39.2951511Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2951712Z ========== 2022-12-01T10:57:39.2951905Z ok (0.004s) 2022-12-01T10:57:39.2952488Z test_simple_traverse (__main__.TestGraph) ... /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2952960Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2953158Z ok (0.009s) 2022-12-01T10:57:39.2953616Z test_traverse_circular_datapipe (__main__.TestGraph) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_traverse_circular_datapipe test_datapipe.py line 2445 2022-12-01T10:57:39.2953963Z due to: 2022-12-01T10:57:39.2954136Z Traceback (most recent call last): 2022-12-01T10:57:39.2954413Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2954841Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2955484Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2955833Z 2022-12-01T10:57:39.2955892Z from user code: 2022-12-01T10:57:39.2956122Z File "test_datapipe.py", line 2446, in test_traverse_circular_datapipe 2022-12-01T10:57:39.2956414Z source_iter_dp = dp.iter.IterableWrapper(list(range(10))) 2022-12-01T10:57:39.2956573Z 2022-12-01T10:57:39.2956691Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2956911Z ========== 2022-12-01T10:57:39.2957068Z ok (0.004s) 2022-12-01T10:57:39.2957657Z test_traverse_forked (__main__.TestGraph) ... /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.2958102Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.2958313Z ok (0.014s) 2022-12-01T10:57:39.2958748Z test_traverse_mapdatapipe (__main__.TestGraph) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_traverse_mapdatapipe test_datapipe.py line 2431 2022-12-01T10:57:39.2959047Z due to: 2022-12-01T10:57:39.2959231Z Traceback (most recent call last): 2022-12-01T10:57:39.2959508Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2959790Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2960086Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2960238Z 2022-12-01T10:57:39.2960307Z from user code: 2022-12-01T10:57:39.2960536Z File "test_datapipe.py", line 2432, in test_traverse_mapdatapipe 2022-12-01T10:57:39.2960796Z source_dp = dp.map.SequenceWrapper(range(10)) 2022-12-01T10:57:39.2960942Z 2022-12-01T10:57:39.2961075Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2961289Z ========== 2022-12-01T10:57:39.2961434Z ok (0.003s) 2022-12-01T10:57:39.2961871Z test_traverse_mixdatapipe (__main__.TestGraph) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_traverse_mixdatapipe test_datapipe.py line 2438 2022-12-01T10:57:39.2962179Z due to: 2022-12-01T10:57:39.2962360Z Traceback (most recent call last): 2022-12-01T10:57:39.2962622Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2962899Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2963202Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2963354Z 2022-12-01T10:57:39.2963411Z from user code: 2022-12-01T10:57:39.2963639Z File "test_datapipe.py", line 2439, in test_traverse_mixdatapipe 2022-12-01T10:57:39.2963914Z source_map_dp = dp.map.SequenceWrapper(range(10)) 2022-12-01T10:57:39.2964068Z 2022-12-01T10:57:39.2964186Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2964404Z ========== 2022-12-01T10:57:39.2964593Z ok (0.002s) 2022-12-01T10:57:39.2965050Z test_traverse_unhashable_datapipe (__main__.TestGraph) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_traverse_unhashable_datapipe test_datapipe.py line 2464 2022-12-01T10:57:39.2965362Z due to: 2022-12-01T10:57:39.2965541Z Traceback (most recent call last): 2022-12-01T10:57:39.2965817Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2966229Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2967115Z AssertionError: torch.* op returned non-Tensor IterableWrapperIterDataPipe call_function 2022-12-01T10:57:39.2967473Z 2022-12-01T10:57:39.2967546Z from user code: 2022-12-01T10:57:39.2967789Z File "test_datapipe.py", line 2465, in test_traverse_unhashable_datapipe 2022-12-01T10:57:39.2968070Z source_iter_dp = dp.iter.IterableWrapper(list(range(10))) 2022-12-01T10:57:39.2968233Z 2022-12-01T10:57:39.2968365Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2968585Z ========== 2022-12-01T10:57:39.2968728Z ok (0.003s) 2022-12-01T10:57:39.2969327Z test_iterdatapipe_sample_yielded_generator_function (__main__.TestIterDataPipeCountSampleYielded) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_iterdatapipe_sample_yielded_generator_function test_datapipe.py line 2946 2022-12-01T10:57:39.2969743Z due to: 2022-12-01T10:57:39.2969926Z Traceback (most recent call last): 2022-12-01T10:57:39.2970193Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2970477Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2970784Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2970925Z 2022-12-01T10:57:39.2970993Z from user code: 2022-12-01T10:57:39.2971252Z File "test_datapipe.py", line 2948, in test_iterdatapipe_sample_yielded_generator_function 2022-12-01T10:57:39.2971573Z datapipe: IterDataPipe = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2971739Z 2022-12-01T10:57:39.2971859Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2972075Z ========== 2022-12-01T10:57:39.2972231Z ok (0.003s) 2022-12-01T10:57:39.2972549Z test_iterdatapipe_sample_yielded_generator_function_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.004s) 2022-12-01T10:57:39.2972963Z test_iterdatapipe_sample_yielded_next (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.003s) 2022-12-01T10:57:39.2973376Z test_iterdatapipe_sample_yielded_next_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.004s) 2022-12-01T10:57:39.2973793Z test_iterdatapipe_sample_yielded_return_self (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.003s) 2022-12-01T10:57:39.2974464Z test_simple_snapshot_custom_non_generator (__main__.TestIterDataPipeGraphFastForward) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_datapipe.py line 3147 2022-12-01T10:57:39.2974857Z due to: 2022-12-01T10:57:39.2975036Z Traceback (most recent call last): 2022-12-01T10:57:39.2975311Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2975723Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2976166Z AssertionError: torch.* op returned non-Tensor Generator call_function 2022-12-01T10:57:39.2976362Z 2022-12-01T10:57:39.2976432Z from user code: 2022-12-01T10:57:39.2976698Z File "test_datapipe.py", line 3148, in 2022-12-01T10:57:39.2977048Z self._fast_forward_graph_test_helper(graph, _simple_graph_snapshot_restoration, expected_res=range(10)) 2022-12-01T10:57:39.2977249Z 2022-12-01T10:57:39.2977378Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2977639Z ========== 2022-12-01T10:57:39.2977986Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _fast_forward_graph_test_helper test_datapipe.py line 3073 2022-12-01T10:57:39.2978250Z due to: 2022-12-01T10:57:39.2978430Z Traceback (most recent call last): 2022-12-01T10:57:39.2978691Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2979116Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2979597Z AssertionError: torch.* op returned non-Tensor Generator call_function 2022-12-01T10:57:39.2979793Z 2022-12-01T10:57:39.2979861Z from user code: 2022-12-01T10:57:39.2980083Z File "test_datapipe.py", line 3075, in _fast_forward_graph_test_helper 2022-12-01T10:57:39.2980322Z rng = torch.Generator() 2022-12-01T10:57:39.2980441Z 2022-12-01T10:57:39.2980573Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2980778Z ========== 2022-12-01T10:57:39.2980931Z ok (0.008s) 2022-12-01T10:57:39.2981484Z test_simple_snapshot_custom_self_next (__main__.TestIterDataPipeGraphFastForward) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_datapipe.py line 3151 2022-12-01T10:57:39.2981869Z due to: 2022-12-01T10:57:39.2982038Z Traceback (most recent call last): 2022-12-01T10:57:39.2982315Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2982741Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2983173Z AssertionError: torch.* op returned non-Tensor Generator call_function 2022-12-01T10:57:39.2983369Z 2022-12-01T10:57:39.2983439Z from user code: 2022-12-01T10:57:39.2983699Z File "test_datapipe.py", line 3152, in 2022-12-01T10:57:39.2984058Z self._fast_forward_graph_test_helper(graph, _simple_graph_snapshot_restoration, expected_res=range(10)) 2022-12-01T10:57:39.2984247Z 2022-12-01T10:57:39.2984379Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2984596Z ========== 2022-12-01T10:57:39.2984752Z ok (0.007s) 2022-12-01T10:57:39.2985235Z test_simple_snapshot_graph (__main__.TestIterDataPipeGraphFastForward) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_simple_snapshot_graph test_datapipe.py line 3096 2022-12-01T10:57:39.2985584Z due to: 2022-12-01T10:57:39.2985764Z Traceback (most recent call last): 2022-12-01T10:57:39.2986030Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2986312Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2986618Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2986771Z 2022-12-01T10:57:39.2986841Z from user code: 2022-12-01T10:57:39.2987065Z File "test_datapipe.py", line 3097, in test_simple_snapshot_graph 2022-12-01T10:57:39.2987339Z graph1 = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2987484Z 2022-12-01T10:57:39.2987612Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2987814Z ========== 2022-12-01T10:57:39.2987971Z ok (0.017s) 2022-12-01T10:57:39.2988496Z test_simple_snapshot_graph_repeated (__main__.TestIterDataPipeGraphFastForward) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_simple_snapshot_graph_repeated test_datapipe.py line 3212 2022-12-01T10:57:39.2988866Z due to: 2022-12-01T10:57:39.2989035Z Traceback (most recent call last): 2022-12-01T10:57:39.2989310Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2989590Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2989883Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2990068Z 2022-12-01T10:57:39.2990136Z from user code: 2022-12-01T10:57:39.2990374Z File "test_datapipe.py", line 3213, in test_simple_snapshot_graph_repeated 2022-12-01T10:57:39.2990698Z cdp1, cdp2 = dp.iter.IterableWrapper(range(10)).map(_mul_10).shuffle().map(_mul_10).map(_mul_10).fork(2) 2022-12-01T10:57:39.2990891Z 2022-12-01T10:57:39.2991022Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2991236Z ========== 2022-12-01T10:57:39.2991842Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py:263: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-12-01T10:57:39.2992319Z "the buffer and each child DataPipe will read from the start again.", UserWarning) 2022-12-01T10:57:39.2992559Z ok (0.008s) 2022-12-01T10:57:39.2993115Z test_simple_snapshot_graph_with_serialization (__main__.TestIterDataPipeGraphFastForward) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_simple_snapshot_graph_with_serialization test_datapipe.py line 3176 2022-12-01T10:57:39.2993505Z due to: 2022-12-01T10:57:39.2993672Z Traceback (most recent call last): 2022-12-01T10:57:39.2993948Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.2994230Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.2994526Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.2994678Z 2022-12-01T10:57:39.2994748Z from user code: 2022-12-01T10:57:39.2995001Z File "test_datapipe.py", line 3177, in test_simple_snapshot_graph_with_serialization 2022-12-01T10:57:39.2995281Z graph1 = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.2995426Z 2022-12-01T10:57:39.2995557Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2995772Z ========== 2022-12-01T10:57:39.2996116Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _snapshot_test_helper test_datapipe.py line 3154 2022-12-01T10:57:39.2996363Z due to: 2022-12-01T10:57:39.2996547Z Traceback (most recent call last): 2022-12-01T10:57:39.2996820Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.2997230Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.2997668Z AssertionError: torch.* op returned non-Tensor Generator call_function 2022-12-01T10:57:39.2997867Z 2022-12-01T10:57:39.2997935Z from user code: 2022-12-01T10:57:39.2998147Z File "test_datapipe.py", line 3159, in _snapshot_test_helper 2022-12-01T10:57:39.2998385Z rng = torch.Generator() 2022-12-01T10:57:39.2998504Z 2022-12-01T10:57:39.2998633Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.2998848Z ========== 2022-12-01T10:57:39.2999408Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py:263: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-12-01T10:57:39.2999890Z "the buffer and each child DataPipe will read from the start again.", UserWarning) 2022-12-01T10:57:39.3000126Z ok (0.017s) 2022-12-01T10:57:39.3000385Z test_iterdatapipe_singleton_buggy (__main__.TestIterDataPipeSingletonConstraint) 2022-12-01T10:57:39.3000829Z Buggy test case case where IterDataPipe's `__iter__` returns a new object, but also has ... ok (0.007s) 2022-12-01T10:57:39.3001215Z test_iterdatapipe_singleton_constraint_multiple_outputs (__main__.TestIterDataPipeSingletonConstraint) 2022-12-01T10:57:39.3001883Z Testing for the case where IterDataPipe has multiple child DataPipes as outputs. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_iterdatapipe_singleton_constraint_multiple_outputs test_datapipe.py line 2855 2022-12-01T10:57:39.3002243Z due to: 2022-12-01T10:57:39.3002423Z Traceback (most recent call last): 2022-12-01T10:57:39.3002738Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.3003023Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.3003321Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.3003474Z 2022-12-01T10:57:39.3003543Z from user code: 2022-12-01T10:57:39.3003811Z File "test_datapipe.py", line 2861, in test_iterdatapipe_singleton_constraint_multiple_outputs 2022-12-01T10:57:39.3004124Z source_dp: IterDataPipe = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.3004294Z 2022-12-01T10:57:39.3004459Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3004679Z ========== 2022-12-01T10:57:39.3004821Z ok (0.010s) 2022-12-01T10:57:39.3005098Z test_iterdatapipe_singleton_generator (__main__.TestIterDataPipeSingletonConstraint) 2022-12-01T10:57:39.3005703Z Testing for the case where IterDataPipe's `__iter__` is a generator function. ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_iterdatapipe_singleton_generator test_datapipe.py line 2724 2022-12-01T10:57:39.3006048Z due to: 2022-12-01T10:57:39.3006216Z Traceback (most recent call last): 2022-12-01T10:57:39.3006488Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.3006869Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.3007302Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.3007456Z 2022-12-01T10:57:39.3007524Z from user code: 2022-12-01T10:57:39.3007772Z File "test_datapipe.py", line 2730, in test_iterdatapipe_singleton_generator 2022-12-01T10:57:39.3008082Z source_dp: IterDataPipe = dp.iter.IterableWrapper(range(10)) 2022-12-01T10:57:39.3008238Z 2022-12-01T10:57:39.3008371Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3008584Z ========== 2022-12-01T10:57:39.3008740Z ok (0.005s) 2022-12-01T10:57:39.3009006Z test_iterdatapipe_singleton_new_object (__main__.TestIterDataPipeSingletonConstraint) 2022-12-01T10:57:39.3009459Z Testing for the case where IterDataPipe's `__iter__` isn't a generator nor returns `self`, ... ok (0.005s) 2022-12-01T10:57:39.3009825Z test_iterdatapipe_singleton_self_next (__main__.TestIterDataPipeSingletonConstraint) 2022-12-01T10:57:39.3010269Z Testing for the case where IterDataPipe's `__iter__` returns `self` and there is a `__next__` method ... ok (0.007s) 2022-12-01T10:57:39.3011010Z test_demux_mux_datapipe (__main__.TestIterableDataPipeBasic) ... /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.3011498Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.3012060Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.3012479Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.3013025Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.3013434Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.3013640Z ok (0.016s) 2022-12-01T10:57:39.3014117Z test_groupby_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_groupby_iterable_datapipe test_datapipe.py line 402 2022-12-01T10:57:39.3014461Z due to: 2022-12-01T10:57:39.3014642Z Traceback (most recent call last): 2022-12-01T10:57:39.3014918Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 306, in step 2022-12-01T10:57:39.3015210Z log.debug(f"TRACE {inst.opname} {inst.argval} {self.stack}") 2022-12-01T10:57:39.3015521Z BytesWarning: str() on a bytes instance 2022-12-01T10:57:39.3015653Z 2022-12-01T10:57:39.3015723Z from user code: 2022-12-01T10:57:39.3015942Z File "test_datapipe.py", line 409, in test_groupby_iterable_datapipe 2022-12-01T10:57:39.3016366Z datapipe1 = dp.iter.IterableWrapper([(filename, io.BytesIO(b'12345abcde')) for filename in file_list]) 2022-12-01T10:57:39.3016572Z 2022-12-01T10:57:39.3016704Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3016922Z ========== 2022-12-01T10:57:39.3017463Z /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py:136: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-12-01T10:57:39.3017879Z "Local function is not supported by pickle, please use " 2022-12-01T10:57:39.3018087Z ok (0.015s) 2022-12-01T10:57:39.3018582Z test_listdirfiles_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_listdirfiles_iterable_datapipe test_datapipe.py line 280 2022-12-01T10:57:39.3018939Z due to: 2022-12-01T10:57:39.3019120Z Traceback (most recent call last): 2022-12-01T10:57:39.3019395Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.3019812Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.3020436Z AssertionError: torch.* op returned non-Tensor FileListerIterDataPipe call_function 2022-12-01T10:57:39.3020779Z 2022-12-01T10:57:39.3020848Z from user code: 2022-12-01T10:57:39.3021079Z File "test_datapipe.py", line 282, in test_listdirfiles_iterable_datapipe 2022-12-01T10:57:39.3021431Z datapipe: IterDataPipe = dp.iter.FileLister(temp_dir, '') 2022-12-01T10:57:39.3021590Z 2022-12-01T10:57:39.3021719Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3021939Z ========== 2022-12-01T10:57:39.3022083Z ok (0.005s) 2022-12-01T10:57:39.3022645Z test_listdirfilesdeterministic_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_listdirfilesdeterministic_iterable_datapipe test_datapipe.py line 313 2022-12-01T10:57:39.3023044Z due to: 2022-12-01T10:57:39.3023214Z Traceback (most recent call last): 2022-12-01T10:57:39.3023490Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.3023915Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.3024538Z AssertionError: torch.* op returned non-Tensor FileListerIterDataPipe call_function 2022-12-01T10:57:39.3024861Z 2022-12-01T10:57:39.3024931Z from user code: 2022-12-01T10:57:39.3025197Z File "test_datapipe.py", line 316, in test_listdirfilesdeterministic_iterable_datapipe 2022-12-01T10:57:39.3025541Z datapipe = dp.iter.FileLister(temp_dir, '') 2022-12-01T10:57:39.3025685Z 2022-12-01T10:57:39.3025804Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3026022Z ========== 2022-12-01T10:57:39.3026176Z ok (0.004s) 2022-12-01T10:57:39.3026687Z test_map_with_col_file_handle_datapipe (__main__.TestIterableDataPipeBasic) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_map_with_col_file_handle_datapipe test_datapipe.py line 458 2022-12-01T10:57:39.3027031Z due to: 2022-12-01T10:57:39.3027214Z Traceback (most recent call last): 2022-12-01T10:57:39.3027494Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.3027908Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.3028526Z AssertionError: torch.* op returned non-Tensor FileListerIterDataPipe call_function 2022-12-01T10:57:39.3028891Z 2022-12-01T10:57:39.3028960Z from user code: 2022-12-01T10:57:39.3029198Z File "test_datapipe.py", line 461, in test_map_with_col_file_handle_datapipe 2022-12-01T10:57:39.3029508Z datapipe1 = dp.iter.FileLister(temp_dir, '') 2022-12-01T10:57:39.3029653Z 2022-12-01T10:57:39.3029785Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3029998Z ========== 2022-12-01T10:57:39.3030141Z ok (0.006s) 2022-12-01T10:57:39.3030409Z test_openfilesfromdisk_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.005s) 2022-12-01T10:57:39.3031077Z test_routeddecoder_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_datapipe.py line 364 2022-12-01T10:57:39.3031453Z due to: 2022-12-01T10:57:39.3031621Z Traceback (most recent call last): 2022-12-01T10:57:39.3031896Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:39.3032321Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:39.3032931Z AssertionError: torch.* op returned non-Tensor FileListerIterDataPipe call_function 2022-12-01T10:57:39.3033263Z 2022-12-01T10:57:39.3033331Z from user code: 2022-12-01T10:57:39.3033590Z File "test_datapipe.py", line 365, in 2022-12-01T10:57:39.3033959Z datapipe1 = dp.iter.FileLister(temp_dir, ['*.png', '*.txt']) 2022-12-01T10:57:39.3034104Z 2022-12-01T10:57:39.3034238Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3034457Z ========== 2022-12-01T10:57:39.3034617Z ok (0.029s) 2022-12-01T10:57:39.3034843Z test_spawn_lambdas_iter (__main__.TestSerialization) ... skip: no dill (0.001s) 2022-12-01T10:57:39.3035152Z test_spawn_lambdas_map (__main__.TestSerialization) ... skip: no dill (0.001s) 2022-12-01T10:57:39.3035515Z test_old_dataloader (__main__.TestSharding) ... Exception ignored in: 2022-12-01T10:57:39.3035805Z Traceback (most recent call last): 2022-12-01T10:57:39.3036174Z File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/sampler.py", line 241, in __iter__ 2022-12-01T10:57:39.3036502Z def __iter__(self) -> Iterator[List[int]]: 2022-12-01T10:57:39.3036740Z SystemError: error return without exception set 2022-12-01T10:57:39.3036931Z ok (0.059s) 2022-12-01T10:57:39.3037352Z test_sharding_length (__main__.TestSharding) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sharding_length test_datapipe.py line 2666 2022-12-01T10:57:39.3037650Z due to: 2022-12-01T10:57:39.3037817Z Traceback (most recent call last): 2022-12-01T10:57:39.3038092Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 41, in as_proxy 2022-12-01T10:57:39.3038377Z return self.python_type()(self._as_proxy()) 2022-12-01T10:57:39.3038674Z TypeError: 'list' object cannot be interpreted as an integer 2022-12-01T10:57:39.3038827Z 2022-12-01T10:57:39.3038896Z from user code: 2022-12-01T10:57:39.3039113Z File "test_datapipe.py", line 2667, in test_sharding_length 2022-12-01T10:57:39.3039378Z numbers_dp = dp.iter.IterableWrapper(range(13)) 2022-12-01T10:57:39.3039517Z 2022-12-01T10:57:39.3039645Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3039858Z ========== 2022-12-01T10:57:39.3040012Z ok (0.005s) 2022-12-01T10:57:39.3040219Z test_simple_sharding (__main__.TestSharding) ... ok (0.012s) 2022-12-01T10:57:39.3040660Z test_api (__main__.TestStreamWrapper) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_api test_datapipe.py line 222 2022-12-01T10:57:39.3040946Z due to: 2022-12-01T10:57:39.3041114Z Traceback (most recent call last): 2022-12-01T10:57:39.3041441Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:57:39.3041732Z return super().call_method(tx, args, kwargs) 2022-12-01T10:57:39.3042062Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:57:39.3042217Z 2022-12-01T10:57:39.3042286Z from user code: 2022-12-01T10:57:39.3042488Z File "test_datapipe.py", line 223, in test_api 2022-12-01T10:57:39.3042719Z fd = TestStreamWrapper._FakeFD("") 2022-12-01T10:57:39.3042851Z 2022-12-01T10:57:39.3042968Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3043187Z ========== 2022-12-01T10:57:39.3043374Z ok (0.003s) 2022-12-01T10:57:39.3043758Z test_dir (__main__.TestStreamWrapper) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_dir test_datapipe.py line 214 2022-12-01T10:57:39.3044039Z due to: 2022-12-01T10:57:39.3044220Z Traceback (most recent call last): 2022-12-01T10:57:39.3044498Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:57:39.3044791Z return super().call_method(tx, args, kwargs) 2022-12-01T10:57:39.3045122Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:57:39.3045290Z 2022-12-01T10:57:39.3045360Z from user code: 2022-12-01T10:57:39.3045552Z File "test_datapipe.py", line 215, in test_dir 2022-12-01T10:57:39.3045781Z fd = TestStreamWrapper._FakeFD("") 2022-12-01T10:57:39.3045914Z 2022-12-01T10:57:39.3046047Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3046251Z ========== 2022-12-01T10:57:39.3046404Z ok (0.002s) 2022-12-01T10:57:39.3046702Z test_pickle (__main__.TestStreamWrapper) ... ok (0.008s) 2022-12-01T10:57:39.3047295Z test_repr (__main__.TestStreamWrapper) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_repr test_datapipe.py line 255 2022-12-01T10:57:39.3047592Z due to: 2022-12-01T10:57:39.3047775Z Traceback (most recent call last): 2022-12-01T10:57:39.3048070Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/user_defined.py", line 77, in call_method 2022-12-01T10:57:39.3048352Z return super().call_method(tx, args, kwargs) 2022-12-01T10:57:39.3048690Z TypeError: call_method() missing 1 required positional argument: 'kwargs' 2022-12-01T10:57:39.3048861Z 2022-12-01T10:57:39.3048930Z from user code: 2022-12-01T10:57:39.3049124Z File "test_datapipe.py", line 256, in test_repr 2022-12-01T10:57:39.3049357Z fd = TestStreamWrapper._FakeFD("") 2022-12-01T10:57:39.3049488Z 2022-12-01T10:57:39.3049616Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3049817Z ========== 2022-12-01T10:57:39.3049978Z ok (0.002s) 2022-12-01T10:57:39.3050212Z test_compile_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.004s) 2022-12-01T10:57:39.3050518Z test_construct_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-12-01T10:57:39.3050783Z test_isinstance (__main__.TestTyping) ... ok (0.002s) 2022-12-01T10:57:39.3051061Z test_issubinstance (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.002s) 2022-12-01T10:57:39.3051527Z test_protocol (__main__.TestTyping) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_protocol test_datapipe.py line 2034 2022-12-01T10:57:39.3051797Z due to: 2022-12-01T10:57:39.3051977Z Traceback (most recent call last): 2022-12-01T10:57:39.3052261Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builtin.py", line 693, in call_getattr 2022-12-01T10:57:39.3052519Z member = obj.value.__dict__[name] 2022-12-01T10:57:39.3052752Z KeyError: 'Protocol' 2022-12-01T10:57:39.3052865Z 2022-12-01T10:57:39.3052939Z from user code: 2022-12-01T10:57:39.3053150Z File "test_datapipe.py", line 2036, in test_protocol 2022-12-01T10:57:39.3053456Z from typing import Protocol # type: ignore[attr-defined] 2022-12-01T10:57:39.3053608Z 2022-12-01T10:57:39.3053737Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:39.3054024Z ========== 2022-12-01T10:57:39.3054169Z ok (0.002s) 2022-12-01T10:57:39.3054404Z test_reinforce (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-12-01T10:57:39.3054705Z test_runtime (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-12-01T10:57:39.3054982Z test_subtype (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.002s) 2022-12-01T10:57:39.3055143Z 2022-12-01T10:57:39.3055345Z ---------------------------------------------------------------------- 2022-12-01T10:57:39.3055590Z Ran 87 tests in 5.363s 2022-12-01T10:57:39.3055702Z 2022-12-01T10:57:39.3055774Z OK (skipped=16) 2022-12-01T10:57:39.3055869Z 2022-12-01T10:57:39.3055997Z Generating XML reports... 2022-12-01T10:57:39.3056434Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCircularSerialization-20221201105733.xml 2022-12-01T10:57:39.3056960Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataChunk-20221201105733.xml 2022-12-01T10:57:39.3057481Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalIterDataPipe-20221201105733.xml 2022-12-01T10:57:39.3058045Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalMapDataPipe-20221201105733.xml 2022-12-01T10:57:39.3058549Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestGraph-20221201105733.xml 2022-12-01T10:57:39.3059104Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeCountSampleYielded-20221201105733.xml 2022-12-01T10:57:39.3059703Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeGraphFastForward-20221201105733.xml 2022-12-01T10:57:39.3060314Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeSingletonConstraint-20221201105733.xml 2022-12-01T10:57:39.3060896Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterableDataPipeBasic-20221201105733.xml 2022-12-01T10:57:39.3061405Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSharding-20221201105733.xml 2022-12-01T10:57:39.3061887Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestStreamWrapper-20221201105733.xml 2022-12-01T10:57:39.3062375Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestTyping-20221201105733.xml 2022-12-01T10:57:39.3062871Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCaptureDataFrame-20221201105733.xml 2022-12-01T10:57:39.3063391Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataFramesPipes-20221201105733.xml 2022-12-01T10:57:39.3063889Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSerialization-20221201105733.xml 2022-12-01T10:57:39.3064115Z 2022-12-01T10:57:39.3064442Z ##[endgroup] 2022-12-01T10:57:39.3064819Z FINISHED PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_m_0z5mui) 2022-12-01T10:57:39.3065018Z 2022-12-01T10:57:39.3065188Z Running nn/test_dropout ... [2022-12-01 10:57:39.280420] 2022-12-01T10:57:39.3065652Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_dropout.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:39.280841] 2022-12-01T10:57:42.7100051Z 2022-12-01T10:57:42.7100757Z Expand the folded group to see the log file of nn/test_dropout 2022-12-01T10:57:42.7101934Z ##[group]PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_sjr86h36) 2022-12-01T10:57:42.7102587Z Test results will be stored in test-reports/python-unittest/nn.test_dropout 2022-12-01T10:57:42.7102758Z 2022-12-01T10:57:42.7102844Z Running tests... 2022-12-01T10:57:42.7103156Z ---------------------------------------------------------------------- 2022-12-01T10:57:42.7103566Z test_AlphaDropout (__main__.TestDropoutNN) ... ok (0.109s) 2022-12-01T10:57:42.7103847Z test_FeatureAlphaDropout (__main__.TestDropoutNN) ... ok (0.099s) 2022-12-01T10:57:42.7104666Z test_invalid_dropout_p (__main__.TestDropoutNN) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_dropout.py line 74 2022-12-01T10:57:42.7104957Z due to: 2022-12-01T10:57:42.7105128Z Traceback (most recent call last): 2022-12-01T10:57:42.7105496Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 1251, in dropout 2022-12-01T10:57:42.7105841Z raise ValueError("dropout probability has to be between 0 and 1, " "but got {}".format(p)) 2022-12-01T10:57:42.7106216Z ValueError: dropout probability has to be between 0 and 1, but got -0.1 2022-12-01T10:57:42.7106450Z 2022-12-01T10:57:42.7106546Z from user code: 2022-12-01T10:57:42.7106868Z File "nn/test_dropout.py", line 74, in 2022-12-01T10:57:42.7107249Z self.assertRaises(ValueError, lambda: F.dropout(v, -0.1)) 2022-12-01T10:57:42.7107407Z 2022-12-01T10:57:42.7107528Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:42.7107747Z ========== 2022-12-01T10:57:42.7108070Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_dropout.py line 75 2022-12-01T10:57:42.7108315Z due to: 2022-12-01T10:57:42.7108486Z Traceback (most recent call last): 2022-12-01T10:57:42.7108837Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py", line 1251, in dropout 2022-12-01T10:57:42.7109176Z raise ValueError("dropout probability has to be between 0 and 1, " "but got {}".format(p)) 2022-12-01T10:57:42.7109477Z ValueError: dropout probability has to be between 0 and 1, but got 1.1 2022-12-01T10:57:42.7109640Z 2022-12-01T10:57:42.7109713Z from user code: 2022-12-01T10:57:42.7109921Z File "nn/test_dropout.py", line 75, in 2022-12-01T10:57:42.7110169Z self.assertRaises(ValueError, lambda: F.dropout(v, 1.1)) 2022-12-01T10:57:42.7110322Z 2022-12-01T10:57:42.7110452Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:42.7110669Z ========== 2022-12-01T10:57:42.7110825Z ok (0.070s) 2022-12-01T10:57:42.7111065Z test_native_dropout_corner_case (__main__.TestDropoutNN) ... skip: CUDA unavailable (0.001s) 2022-12-01T10:57:42.7111394Z test_Dropout1d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.331s) 2022-12-01T10:57:42.7111944Z test_Dropout2d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_dropout.py line 213 2022-12-01T10:57:42.7112262Z due to: 2022-12-01T10:57:42.7112447Z Traceback (most recent call last): 2022-12-01T10:57:42.7112740Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:42.7113050Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:42.7113275Z AssertionError: memory_format 2022-12-01T10:57:42.7113400Z 2022-12-01T10:57:42.7113468Z from user code: 2022-12-01T10:57:42.7113701Z File "nn/test_dropout.py", line 214, in 2022-12-01T10:57:42.7113956Z self._test_dropout(nn.Dropout2d, device, input) 2022-12-01T10:57:42.7114101Z 2022-12-01T10:57:42.7114233Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:42.7114445Z ========== 2022-12-01T10:57:42.7114787Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_dropout.py line 82 2022-12-01T10:57:42.7115050Z due to: 2022-12-01T10:57:42.7115231Z Traceback (most recent call last): 2022-12-01T10:57:42.7115502Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 429, in call_method 2022-12-01T10:57:42.7115799Z assert not kwargs, f"Tensor.{name}() unhandled kwargs" 2022-12-01T10:57:42.7116059Z AssertionError: Tensor.is_contiguous() unhandled kwargs 2022-12-01T10:57:42.7116210Z 2022-12-01T10:57:42.7116279Z from user code: 2022-12-01T10:57:42.7116498Z File "nn/test_dropout.py", line 85, in 2022-12-01T10:57:42.7116792Z self.assertTrue(output.is_contiguous(memory_format=memory_format)) 2022-12-01T10:57:42.7116954Z 2022-12-01T10:57:42.7117136Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:42.7117340Z ========== 2022-12-01T10:57:42.7117498Z ok (0.739s) 2022-12-01T10:57:42.7117973Z test_Dropout3d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT nn/test_dropout.py line 249 2022-12-01T10:57:42.7118306Z due to: 2022-12-01T10:57:42.7118475Z Traceback (most recent call last): 2022-12-01T10:57:42.7118766Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:42.7119076Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:42.7119337Z AssertionError: memory_format 2022-12-01T10:57:42.7119466Z 2022-12-01T10:57:42.7119538Z from user code: 2022-12-01T10:57:42.7119770Z File "nn/test_dropout.py", line 250, in 2022-12-01T10:57:42.7120030Z self._test_dropout(nn.Dropout3d, device, input) 2022-12-01T10:57:42.7120174Z 2022-12-01T10:57:42.7120306Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:42.7120520Z ========== 2022-12-01T10:57:42.7120664Z ok (0.053s) 2022-12-01T10:57:42.7121101Z test_Dropout_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_Dropout nn/test_dropout.py line 149 2022-12-01T10:57:42.7121411Z due to: 2022-12-01T10:57:42.7121590Z Traceback (most recent call last): 2022-12-01T10:57:42.7121870Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:57:42.7122182Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:57:42.7122418Z AssertionError: memory_format 2022-12-01T10:57:42.7122566Z 2022-12-01T10:57:42.7122623Z from user code: 2022-12-01T10:57:42.7122832Z File "nn/test_dropout.py", line 151, in test_Dropout 2022-12-01T10:57:42.7123076Z self._test_dropout(nn.Dropout, device, input) 2022-12-01T10:57:42.7123214Z 2022-12-01T10:57:42.7123345Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:42.7123552Z ========== 2022-12-01T10:57:42.7123706Z ok (0.239s) 2022-12-01T10:57:42.7123950Z test_empty_dropout_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.007s) 2022-12-01T10:57:42.7124117Z 2022-12-01T10:57:42.7124315Z ---------------------------------------------------------------------- 2022-12-01T10:57:42.7124554Z Ran 9 tests in 1.712s 2022-12-01T10:57:42.7124667Z 2022-12-01T10:57:42.7124736Z OK (skipped=1) 2022-12-01T10:57:42.7124838Z 2022-12-01T10:57:42.7124908Z Generating XML reports... 2022-12-01T10:57:42.7125308Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221201105740.xml 2022-12-01T10:57:42.7125847Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNNDeviceTypeCPU-20221201105740.xml 2022-12-01T10:57:42.7126107Z 2022-12-01T10:57:42.7126364Z ##[endgroup] 2022-12-01T10:57:42.7126846Z FINISHED PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_sjr86h36) 2022-12-01T10:57:42.7127320Z 2022-12-01T10:57:42.7127499Z Running test_native_mha ... [2022-12-01 10:57:42.710271] 2022-12-01T10:57:42.7127966Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_mha.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:42.710590] 2022-12-01T10:57:45.4463926Z 2022-12-01T10:57:45.4464497Z Expand the folded group to see the log file of test_native_mha 2022-12-01T10:57:45.4465556Z ##[group]PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_umge2o4i) 2022-12-01T10:57:45.4466495Z Test results will be stored in test-reports/python-unittest/test_native_mha 2022-12-01T10:57:45.4466821Z 2022-12-01T10:57:45.4466962Z Running tests... 2022-12-01T10:57:45.4467517Z ---------------------------------------------------------------------- 2022-12-01T10:57:45.4468029Z test_native_multihead_attention_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.216s) 2022-12-01T10:57:45.4468958Z test_native_multihead_encoder_decoder_attention_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.031s) 2022-12-01T10:57:45.4470048Z test_native_multihead_self_attention_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_native_mha.py line 162 2022-12-01T10:57:45.4470637Z due to: 2022-12-01T10:57:45.4470880Z Traceback (most recent call last): 2022-12-01T10:57:45.4471272Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:57:45.4471617Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:57:45.4472027Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:57:45.4472238Z 2022-12-01T10:57:45.4472406Z The above exception was the direct cause of the following exception: 2022-12-01T10:57:45.4472660Z 2022-12-01T10:57:45.4472789Z Traceback (most recent call last): 2022-12-01T10:57:45.4473121Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:57:45.4473540Z ) from e 2022-12-01T10:57:45.4474050Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:57:45.4474307Z 2022-12-01T10:57:45.4474459Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:45.4474676Z ========== 2022-12-01T10:57:45.4475281Z /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:47: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:177.) 2022-12-01T10:57:45.4475795Z nt = torch._nested_tensor_from_tensor_list(new_data, dtype, None, device, pin_memory) 2022-12-01T10:57:45.4476033Z ok (0.576s) 2022-12-01T10:57:45.4476291Z test_transform_bias_rescale_qkv_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.140s) 2022-12-01T10:57:45.4476654Z test_transform_bias_rescale_qkv_nested_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:57:45.4476868Z 2022-12-01T10:57:45.4477069Z ---------------------------------------------------------------------- 2022-12-01T10:57:45.4477313Z Ran 5 tests in 1.026s 2022-12-01T10:57:45.4477427Z 2022-12-01T10:57:45.4477499Z OK (skipped=1) 2022-12-01T10:57:45.4477592Z 2022-12-01T10:57:45.4477676Z Generating XML reports... 2022-12-01T10:57:45.4478099Z Generated XML report: test-reports/python-unittest/test_native_mha/TEST-TestMHADeviceTypeCPU-20221201105744.xml 2022-12-01T10:57:45.4478344Z 2022-12-01T10:57:45.4478603Z ##[endgroup] 2022-12-01T10:57:45.4478972Z FINISHED PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_umge2o4i) 2022-12-01T10:57:45.4479185Z 2022-12-01T10:57:45.4479350Z Running lazy/test_reuse_ir ... [2022-12-01 10:57:45.446767] 2022-12-01T10:57:45.4479818Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:45.447166] 2022-12-01T10:57:51.1361971Z 2022-12-01T10:57:51.1362473Z Expand the folded group to see the log file of lazy/test_reuse_ir 2022-12-01T10:57:51.1363385Z ##[group]PRINTING LOG FILE of lazy/test_reuse_ir (/var/lib/jenkins/workspace/test/test-reports/lazy-test_reuse_ir_ldszl_if) 2022-12-01T10:57:51.1364274Z Test results will be stored in test-reports/python-unittest/lazy.test_reuse_ir 2022-12-01T10:57:51.1364462Z 2022-12-01T10:57:51.1364539Z Running tests... 2022-12-01T10:57:51.1364865Z ---------------------------------------------------------------------- 2022-12-01T10:57:51.1365693Z testAdd (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77722 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (3.798s) 2022-12-01T10:57:51.1367331Z testAddSub (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77721 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:57:51.1368496Z testAddSubFallback (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77723 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:57:51.1369277Z testBatchNorm (__main__.TestLazyReuseIr) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT lazy/test_reuse_ir.py line 123 2022-12-01T10:57:51.1369621Z due to: 2022-12-01T10:57:51.1369795Z Traceback (most recent call last): 2022-12-01T10:57:51.1370076Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:57:51.1370507Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:57:51.1370964Z AssertionError: torch.* op returned non-Tensor int call_function 2022-12-01T10:57:51.1371155Z 2022-12-01T10:57:51.1371226Z from user code: 2022-12-01T10:57:51.1371464Z File "lazy/test_reuse_ir.py", line 123, in 2022-12-01T10:57:51.1371743Z torch.testing.assert_close(z.cpu(), z_lazy.cpu()) 2022-12-01T10:57:51.1371894Z 2022-12-01T10:57:51.1372014Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:51.1372233Z ========== 2022-12-01T10:57:51.1372389Z ok (0.343s) 2022-12-01T10:57:51.1372487Z 2022-12-01T10:57:51.1372688Z ---------------------------------------------------------------------- 2022-12-01T10:57:51.1372915Z Ran 4 tests in 4.204s 2022-12-01T10:57:51.1373027Z 2022-12-01T10:57:51.1373095Z OK (skipped=3) 2022-12-01T10:57:51.1373199Z 2022-12-01T10:57:51.1373282Z Generating XML reports... 2022-12-01T10:57:51.1373678Z Generated XML report: test-reports/python-unittest/lazy.test_reuse_ir/TEST-TestLazyReuseIr-20221201105746.xml 2022-12-01T10:57:51.1373910Z 2022-12-01T10:57:51.1374149Z ##[endgroup] 2022-12-01T10:57:51.1374537Z FINISHED PRINTING LOG FILE of lazy/test_reuse_ir (/var/lib/jenkins/workspace/test/test-reports/lazy-test_reuse_ir_ldszl_if) 2022-12-01T10:57:51.1374756Z 2022-12-01T10:57:51.1375166Z Running test_native_functions ... [2022-12-01 10:57:51.136533] 2022-12-01T10:57:51.1375657Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:51.136901] 2022-12-01T10:57:56.9867150Z 2022-12-01T10:57:56.9867658Z Expand the folded group to see the log file of test_native_functions 2022-12-01T10:57:56.9868716Z ##[group]PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_cbitvp5b) 2022-12-01T10:57:56.9869256Z Test results will be stored in test-reports/python-unittest/test_native_functions 2022-12-01T10:57:56.9869446Z 2022-12-01T10:57:56.9869522Z Running tests... 2022-12-01T10:57:56.9869833Z ---------------------------------------------------------------------- 2022-12-01T10:57:56.9870150Z test_optional_filled_intlist (__main__.TestNativeFunctions) ... ok (4.099s) 2022-12-01T10:57:56.9870705Z test_optional_floatlist (__main__.TestNativeFunctions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT do_test_optional_floatlist_with_module test_native_functions.py line 26 2022-12-01T10:57:56.9871042Z due to: 2022-12-01T10:57:56.9871228Z Traceback (most recent call last): 2022-12-01T10:57:56.9871567Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:57:56.9872173Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:57:56.9872599Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:57:56.9872788Z 2022-12-01T10:57:56.9872861Z from user code: 2022-12-01T10:57:56.9873122Z File "test_native_functions.py", line 29, in do_test_optional_floatlist_with_module 2022-12-01T10:57:56.9873404Z returned = module(values, None) 2022-12-01T10:57:56.9873530Z 2022-12-01T10:57:56.9873661Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:56.9873867Z ========== 2022-12-01T10:57:56.9874023Z ok (0.091s) 2022-12-01T10:57:56.9874528Z test_optional_floatlist_invalid (__main__.TestNativeFunctions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_native_functions.py line 11 2022-12-01T10:57:56.9874846Z due to: 2022-12-01T10:57:56.9875016Z Traceback (most recent call last): 2022-12-01T10:57:56.9875330Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:56.9875771Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:56.9876228Z TypeError: _test_optional_floatlist(): argument 'addends' (position 2) must be tuple of floats, not immutable_list 2022-12-01T10:57:56.9876437Z 2022-12-01T10:57:56.9876509Z from user code: 2022-12-01T10:57:56.9876775Z File "test_native_functions.py", line 12, in forward 2022-12-01T10:57:56.9877026Z return torch._C._nn._test_optional_floatlist(values, incr) 2022-12-01T10:57:56.9877184Z 2022-12-01T10:57:56.9877318Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:56.9877539Z ========== 2022-12-01T10:57:56.9877697Z ok (0.015s) 2022-12-01T10:57:56.9878155Z test_optional_intlist (__main__.TestNativeFunctions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT do_test_optional_intlist_with_module test_native_functions.py line 79 2022-12-01T10:57:56.9878486Z due to: 2022-12-01T10:57:56.9878668Z Traceback (most recent call last): 2022-12-01T10:57:56.9879011Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:57:56.9879379Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:57:56.9879729Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:57:56.9879897Z 2022-12-01T10:57:56.9879955Z from user code: 2022-12-01T10:57:56.9880205Z File "test_native_functions.py", line 82, in do_test_optional_intlist_with_module 2022-12-01T10:57:56.9880464Z returned = module(values, None) 2022-12-01T10:57:56.9880591Z 2022-12-01T10:57:56.9880724Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:56.9880929Z ========== 2022-12-01T10:57:56.9881089Z ok (0.089s) 2022-12-01T10:57:56.9881529Z test_optional_intlist_invalid (__main__.TestNativeFunctions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward test_native_functions.py line 16 2022-12-01T10:57:56.9881826Z due to: 2022-12-01T10:57:56.9882011Z Traceback (most recent call last): 2022-12-01T10:57:56.9882291Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:57:56.9882563Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:57:56.9882953Z TypeError: _test_optional_intlist(): argument 'addends' (position 2) must be tuple of ints, not immutable_list 2022-12-01T10:57:56.9883153Z 2022-12-01T10:57:56.9883223Z from user code: 2022-12-01T10:57:56.9883436Z File "test_native_functions.py", line 17, in forward 2022-12-01T10:57:56.9883684Z return torch._C._nn._test_optional_intlist(values, incr) 2022-12-01T10:57:56.9883833Z 2022-12-01T10:57:56.9883966Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:57:56.9884181Z ========== 2022-12-01T10:57:56.9884325Z ok (0.014s) 2022-12-01T10:57:56.9884555Z test_string_defaults (__main__.TestNativeFunctions) ... ok (0.015s) 2022-12-01T10:57:56.9884717Z 2022-12-01T10:57:56.9884916Z ---------------------------------------------------------------------- 2022-12-01T10:57:56.9885206Z Ran 6 tests in 4.384s 2022-12-01T10:57:56.9885320Z 2022-12-01T10:57:56.9885382Z OK 2022-12-01T10:57:56.9885474Z 2022-12-01T10:57:56.9885559Z Generating XML reports... 2022-12-01T10:57:56.9885993Z Generated XML report: test-reports/python-unittest/test_native_functions/TEST-TestNativeFunctions-20221201105752.xml 2022-12-01T10:57:56.9886242Z 2022-12-01T10:57:56.9886572Z ##[endgroup] 2022-12-01T10:57:56.9887169Z FINISHED PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_cbitvp5b) 2022-12-01T10:57:56.9887404Z 2022-12-01T10:57:56.9887659Z Running test_fake_tensor ... [2022-12-01 10:57:56.987149] 2022-12-01T10:57:56.9888115Z Executing ['/opt/conda/bin/python', '-bb', 'test_fake_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:57:56.987474] 2022-12-01T10:58:03.5460563Z 2022-12-01T10:58:03.5461032Z Expand the folded group to see the log file of test_fake_tensor 2022-12-01T10:58:03.5462455Z ##[group]PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_qa0n0r2i) 2022-12-01T10:58:03.5463242Z Test results will be stored in test-reports/python-unittest/test_fake_tensor 2022-12-01T10:58:03.5463559Z 2022-12-01T10:58:03.5463679Z Running tests... 2022-12-01T10:58:03.5464199Z ---------------------------------------------------------------------- 2022-12-01T10:58:03.5465135Z test_aliased_const_write (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aliased_const_write test_fake_tensor.py line 475 2022-12-01T10:58:03.5465640Z due to: 2022-12-01T10:58:03.5465931Z Traceback (most recent call last): 2022-12-01T10:58:03.5466355Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5466796Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5467425Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5467669Z 2022-12-01T10:58:03.5467739Z from user code: 2022-12-01T10:58:03.5467970Z File "test_fake_tensor.py", line 476, in test_aliased_const_write 2022-12-01T10:58:03.5468193Z with FakeTensorMode(): 2022-12-01T10:58:03.5468314Z 2022-12-01T10:58:03.5468448Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5468665Z ========== 2022-12-01T10:58:03.5468991Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assertNotConst test_fake_tensor.py line 412 2022-12-01T10:58:03.5469250Z due to: 2022-12-01T10:58:03.5469437Z Traceback (most recent call last): 2022-12-01T10:58:03.5469821Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:58:03.5470261Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:58:03.5471017Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.clone.default(*(tensor([210, 4, 0, ..., 0, 0, 0], dtype=torch.uint8),), **{}) 2022-12-01T10:58:03.5471346Z 2022-12-01T10:58:03.5471522Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5471742Z ========== 2022-12-01T10:58:03.5471903Z ok (4.485s) 2022-12-01T10:58:03.5472378Z test_constant_invalidation (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_constant_invalidation test_fake_tensor.py line 437 2022-12-01T10:58:03.5472712Z due to: 2022-12-01T10:58:03.5472884Z Traceback (most recent call last): 2022-12-01T10:58:03.5473165Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5473592Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5474391Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5474694Z 2022-12-01T10:58:03.5474769Z from user code: 2022-12-01T10:58:03.5475007Z File "test_fake_tensor.py", line 438, in test_constant_invalidation 2022-12-01T10:58:03.5475235Z with FakeTensorMode(): 2022-12-01T10:58:03.5475355Z 2022-12-01T10:58:03.5475489Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5475709Z ========== 2022-12-01T10:58:03.5476040Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT assertConst test_fake_tensor.py line 408 2022-12-01T10:58:03.5476345Z due to: 2022-12-01T10:58:03.5476532Z Traceback (most recent call last): 2022-12-01T10:58:03.5476925Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:58:03.5477352Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:58:03.5478007Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.clone.default(*(tensor([210, 4, 0, ..., 0, 0, 0], dtype=torch.uint8),), **{}) 2022-12-01T10:58:03.5478331Z 2022-12-01T10:58:03.5478465Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5478686Z ========== 2022-12-01T10:58:03.5478831Z ok (0.005s) 2022-12-01T10:58:03.5479281Z test_fake_tensor_in_intlist_repro (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT fn test_fake_tensor.py line 455 2022-12-01T10:58:03.5479597Z due to: 2022-12-01T10:58:03.5479766Z Traceback (most recent call last): 2022-12-01T10:58:03.5480154Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:58:03.5480586Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:58:03.5481236Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.clone.default(*(tensor([210, 4, 0, ..., 0, 0, 0], dtype=torch.uint8),), **{}) 2022-12-01T10:58:03.5481551Z 2022-12-01T10:58:03.5481669Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5481886Z ========== 2022-12-01T10:58:03.5482044Z ok (0.097s) 2022-12-01T10:58:03.5482479Z test_inplace_add (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_inplace_add test_fake_tensor.py line 421 2022-12-01T10:58:03.5482777Z due to: 2022-12-01T10:58:03.5482962Z Traceback (most recent call last): 2022-12-01T10:58:03.5483240Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5483655Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5484161Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5484398Z 2022-12-01T10:58:03.5484469Z from user code: 2022-12-01T10:58:03.5484688Z File "test_fake_tensor.py", line 422, in test_inplace_add 2022-12-01T10:58:03.5484900Z with FakeTensorMode(): 2022-12-01T10:58:03.5485020Z 2022-12-01T10:58:03.5485151Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5485367Z ========== 2022-12-01T10:58:03.5485511Z ok (0.003s) 2022-12-01T10:58:03.5485995Z test_inplace_view_invalidation (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_inplace_view_invalidation test_fake_tensor.py line 445 2022-12-01T10:58:03.5486324Z due to: 2022-12-01T10:58:03.5486566Z Traceback (most recent call last): 2022-12-01T10:58:03.5486848Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5487531Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5488036Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5488260Z 2022-12-01T10:58:03.5488332Z from user code: 2022-12-01T10:58:03.5488568Z File "test_fake_tensor.py", line 446, in test_inplace_view_invalidation 2022-12-01T10:58:03.5488812Z with FakeTensorMode(): 2022-12-01T10:58:03.5488933Z 2022-12-01T10:58:03.5489051Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5498764Z ========== 2022-12-01T10:58:03.5499134Z ok (0.003s) 2022-12-01T10:58:03.5499712Z test_shared_storage_invalidation (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shared_storage_invalidation test_fake_tensor.py line 467 2022-12-01T10:58:03.5500047Z due to: 2022-12-01T10:58:03.5500237Z Traceback (most recent call last): 2022-12-01T10:58:03.5500526Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5500948Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5501466Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5501710Z 2022-12-01T10:58:03.5501782Z from user code: 2022-12-01T10:58:03.5502027Z File "test_fake_tensor.py", line 468, in test_shared_storage_invalidation 2022-12-01T10:58:03.5502261Z with FakeTensorMode(): 2022-12-01T10:58:03.5502384Z 2022-12-01T10:58:03.5502517Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5502739Z ========== 2022-12-01T10:58:03.5502890Z ok (0.003s) 2022-12-01T10:58:03.5503347Z test_shared_storages (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_shared_storages test_fake_tensor.py line 429 2022-12-01T10:58:03.5503669Z due to: 2022-12-01T10:58:03.5503840Z Traceback (most recent call last): 2022-12-01T10:58:03.5504120Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5504552Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5505066Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5505292Z 2022-12-01T10:58:03.5505365Z from user code: 2022-12-01T10:58:03.5505594Z File "test_fake_tensor.py", line 430, in test_shared_storages 2022-12-01T10:58:03.5505826Z with FakeTensorMode(): 2022-12-01T10:58:03.5505948Z 2022-12-01T10:58:03.5506067Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5506287Z ========== 2022-12-01T10:58:03.5506448Z ok (0.002s) 2022-12-01T10:58:03.5506858Z test_simple (__main__.FakeTensorConstHandling) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_simple test_fake_tensor.py line 416 2022-12-01T10:58:03.5507165Z due to: 2022-12-01T10:58:03.5507351Z Traceback (most recent call last): 2022-12-01T10:58:03.5507633Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5508051Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5508559Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5508796Z 2022-12-01T10:58:03.5508870Z from user code: 2022-12-01T10:58:03.5509073Z File "test_fake_tensor.py", line 417, in test_simple 2022-12-01T10:58:03.5509295Z with FakeTensorMode(): 2022-12-01T10:58:03.5509414Z 2022-12-01T10:58:03.5509547Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5509767Z ========== 2022-12-01T10:58:03.5509913Z ok (0.002s) 2022-12-01T10:58:03.5510405Z test_dead_key (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_dead_key test_fake_tensor.py line 542 2022-12-01T10:58:03.5510708Z due to: 2022-12-01T10:58:03.5510879Z Traceback (most recent call last): 2022-12-01T10:58:03.5511160Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5511592Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5512113Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5512353Z 2022-12-01T10:58:03.5512426Z from user code: 2022-12-01T10:58:03.5512645Z File "test_fake_tensor.py", line 544, in test_dead_key 2022-12-01T10:58:03.5512868Z mode = FakeTensorMode() 2022-12-01T10:58:03.5512973Z 2022-12-01T10:58:03.5513104Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5513327Z ========== 2022-12-01T10:58:03.5513488Z ok (0.003s) 2022-12-01T10:58:03.5513918Z test_dead_weak_ref (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_dead_weak_ref test_fake_tensor.py line 530 2022-12-01T10:58:03.5514233Z due to: 2022-12-01T10:58:03.5514417Z Traceback (most recent call last): 2022-12-01T10:58:03.5514685Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5515117Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5515624Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5515863Z 2022-12-01T10:58:03.5515934Z from user code: 2022-12-01T10:58:03.5516145Z File "test_fake_tensor.py", line 533, in test_dead_weak_ref 2022-12-01T10:58:03.5516373Z mode = FakeTensorMode() 2022-12-01T10:58:03.5516496Z 2022-12-01T10:58:03.5516628Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5516833Z ========== 2022-12-01T10:58:03.5516993Z ok (0.004s) 2022-12-01T10:58:03.5517486Z test_memoized_conversion_from_meta (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_memoized_conversion_from_meta test_fake_tensor.py line 495 2022-12-01T10:58:03.5517829Z due to: 2022-12-01T10:58:03.5517999Z Traceback (most recent call last): 2022-12-01T10:58:03.5518375Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 478, in __init__ 2022-12-01T10:58:03.5518659Z assert device.type != "meta" 2022-12-01T10:58:03.5518838Z AssertionError 2022-12-01T10:58:03.5518947Z 2022-12-01T10:58:03.5519018Z from user code: 2022-12-01T10:58:03.5519261Z File "test_fake_tensor.py", line 496, in test_memoized_conversion_from_meta 2022-12-01T10:58:03.5519506Z x = torch.rand(2, 2).to(device="meta") 2022-12-01T10:58:03.5519639Z 2022-12-01T10:58:03.5519772Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5519990Z ========== 2022-12-01T10:58:03.5520150Z ok (0.003s) 2022-12-01T10:58:03.5520625Z test_memoized_conversion_to_meta (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_memoized_conversion_to_meta test_fake_tensor.py line 490 2022-12-01T10:58:03.5520966Z due to: 2022-12-01T10:58:03.5521151Z Traceback (most recent call last): 2022-12-01T10:58:03.5521415Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5521851Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5522354Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5522594Z 2022-12-01T10:58:03.5522665Z from user code: 2022-12-01T10:58:03.5522893Z File "test_fake_tensor.py", line 492, in test_memoized_conversion_to_meta 2022-12-01T10:58:03.5523180Z mode = FakeTensorMode() 2022-12-01T10:58:03.5523301Z 2022-12-01T10:58:03.5523433Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5523637Z ========== 2022-12-01T10:58:03.5523795Z ok (0.003s) 2022-12-01T10:58:03.5524244Z test_no_active_mode (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_no_active_mode test_fake_tensor.py line 553 2022-12-01T10:58:03.5524547Z due to: 2022-12-01T10:58:03.5524731Z Traceback (most recent call last): 2022-12-01T10:58:03.5525048Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5525481Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5525969Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5526212Z 2022-12-01T10:58:03.5526282Z from user code: 2022-12-01T10:58:03.5526604Z File "test_fake_tensor.py", line 554, in test_no_active_mode 2022-12-01T10:58:03.5526831Z with FakeTensorMode() as mode: 2022-12-01T10:58:03.5527075Z 2022-12-01T10:58:03.5527233Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5527455Z ========== 2022-12-01T10:58:03.5527603Z ok (0.003s) 2022-12-01T10:58:03.5528055Z test_no_ref_cycle (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_no_ref_cycle test_fake_tensor.py line 570 2022-12-01T10:58:03.5528366Z due to: 2022-12-01T10:58:03.5528557Z Traceback (most recent call last): 2022-12-01T10:58:03.5528826Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5529261Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5529766Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5530007Z 2022-12-01T10:58:03.5530065Z from user code: 2022-12-01T10:58:03.5530287Z File "test_fake_tensor.py", line 572, in test_no_ref_cycle 2022-12-01T10:58:03.5530513Z mode = FakeTensorMode() 2022-12-01T10:58:03.5530635Z 2022-12-01T10:58:03.5530767Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5530973Z ========== 2022-12-01T10:58:03.5531129Z ok (0.003s) 2022-12-01T10:58:03.5531593Z test_separate_mode_error (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_separate_mode_error test_fake_tensor.py line 563 2022-12-01T10:58:03.5531901Z due to: 2022-12-01T10:58:03.5532086Z Traceback (most recent call last): 2022-12-01T10:58:03.5532366Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5532780Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5533289Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5533526Z 2022-12-01T10:58:03.5533598Z from user code: 2022-12-01T10:58:03.5533830Z File "test_fake_tensor.py", line 564, in test_separate_mode_error 2022-12-01T10:58:03.5534051Z with FakeTensorMode(): 2022-12-01T10:58:03.5534171Z 2022-12-01T10:58:03.5534303Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5534525Z ========== 2022-12-01T10:58:03.5534669Z ok (0.003s) 2022-12-01T10:58:03.5535174Z test_separate_tensor_storages_non_view (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_separate_tensor_storages_non_view test_fake_tensor.py line 510 2022-12-01T10:58:03.5535525Z due to: 2022-12-01T10:58:03.5535712Z Traceback (most recent call last): 2022-12-01T10:58:03.5535978Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5536476Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5536886Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:58:03.5537071Z 2022-12-01T10:58:03.5537127Z from user code: 2022-12-01T10:58:03.5537378Z File "test_fake_tensor.py", line 513, in test_separate_tensor_storages_non_view 2022-12-01T10:58:03.5537622Z y.set_(x.storage()) 2022-12-01T10:58:03.5537736Z 2022-12-01T10:58:03.5537867Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5538130Z ========== 2022-12-01T10:58:03.5538292Z ok (0.005s) 2022-12-01T10:58:03.5538786Z test_separate_tensor_storages_view (__main__.FakeTensorConverterTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_separate_tensor_storages_view test_fake_tensor.py line 501 2022-12-01T10:58:03.5539120Z due to: 2022-12-01T10:58:03.5539481Z Traceback (most recent call last): 2022-12-01T10:58:03.5539766Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5540179Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5540683Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5540922Z 2022-12-01T10:58:03.5540994Z from user code: 2022-12-01T10:58:03.5541237Z File "test_fake_tensor.py", line 504, in test_separate_tensor_storages_view 2022-12-01T10:58:03.5541472Z mode = FakeTensorMode() 2022-12-01T10:58:03.5541595Z 2022-12-01T10:58:03.5541730Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5541951Z ========== 2022-12-01T10:58:03.5542096Z ok (0.003s) 2022-12-01T10:58:03.5542531Z test_like_ops (__main__.FakeTensorOperatorInvariants) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT get_aten_op test_fake_tensor.py line 584 2022-12-01T10:58:03.5542846Z due to: 2022-12-01T10:58:03.5543030Z Traceback (most recent call last): 2022-12-01T10:58:03.5543303Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 85, in __init__ 2022-12-01T10:58:03.5543606Z ), f"expected FunctionType found {typestr(fn)} {fn}" 2022-12-01T10:58:03.5544055Z AssertionError: expected FunctionType found builtin_function_or_method 2022-12-01T10:58:03.5544287Z 2022-12-01T10:58:03.5544344Z from user code: 2022-12-01T10:58:03.5544558Z File "test_fake_tensor.py", line 586, in get_aten_op 2022-12-01T10:58:03.5544824Z namespace, name = schema.name.split("::") 2022-12-01T10:58:03.5544969Z 2022-12-01T10:58:03.5545100Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5545306Z ========== 2022-12-01T10:58:03.5545465Z ok (0.015s) 2022-12-01T10:58:03.5545723Z test_non_kwarg_only_device (__main__.FakeTensorOperatorInvariants) ... ok (0.066s) 2022-12-01T10:58:03.5546247Z test_sparse_new (__main__.FakeTensorOperatorInvariants) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse_new test_fake_tensor.py line 634 2022-12-01T10:58:03.5546567Z due to: 2022-12-01T10:58:03.5546753Z Traceback (most recent call last): 2022-12-01T10:58:03.5547021Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5547451Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5547958Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5548197Z 2022-12-01T10:58:03.5548268Z from user code: 2022-12-01T10:58:03.5548474Z File "test_fake_tensor.py", line 636, in test_sparse_new 2022-12-01T10:58:03.5548698Z with FakeTensorMode(): 2022-12-01T10:58:03.5548818Z 2022-12-01T10:58:03.5548951Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5549199Z ========== 2022-12-01T10:58:03.5549375Z expected failure (0.015s) 2022-12-01T10:58:03.5549674Z test_tensor_constructors_all_have_kwarg_device (__main__.FakeTensorOperatorInvariants) ... ok (0.113s) 2022-12-01T10:58:03.5550165Z test_basic (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_basic test_fake_tensor.py line 28 2022-12-01T10:58:03.5550451Z due to: 2022-12-01T10:58:03.5550636Z Traceback (most recent call last): 2022-12-01T10:58:03.5550917Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5551366Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5551870Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5552107Z 2022-12-01T10:58:03.5552179Z from user code: 2022-12-01T10:58:03.5552381Z File "test_fake_tensor.py", line 31, in test_basic 2022-12-01T10:58:03.5552612Z with FakeTensorMode() as mode: 2022-12-01T10:58:03.5552738Z 2022-12-01T10:58:03.5552871Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5553089Z ========== 2022-12-01T10:58:03.5553235Z ok (0.005s) 2022-12-01T10:58:03.5553693Z test_binary_op_type_promotion (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary_op_type_promotion test_fake_tensor.py line 175 2022-12-01T10:58:03.5554013Z due to: 2022-12-01T10:58:03.5554183Z Traceback (most recent call last): 2022-12-01T10:58:03.5554462Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5554890Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5555382Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5555623Z 2022-12-01T10:58:03.5555694Z from user code: 2022-12-01T10:58:03.5555929Z File "test_fake_tensor.py", line 176, in test_binary_op_type_promotion 2022-12-01T10:58:03.5556170Z with FakeTensorMode(): 2022-12-01T10:58:03.5556290Z 2022-12-01T10:58:03.5556409Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5556633Z ========== 2022-12-01T10:58:03.5556792Z ok (0.003s) 2022-12-01T10:58:03.5557199Z test_constructor (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_constructor test_fake_tensor.py line 124 2022-12-01T10:58:03.5557498Z due to: 2022-12-01T10:58:03.5557685Z Traceback (most recent call last): 2022-12-01T10:58:03.5557951Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5558383Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5558885Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5559125Z 2022-12-01T10:58:03.5559196Z from user code: 2022-12-01T10:58:03.5559407Z File "test_fake_tensor.py", line 125, in test_constructor 2022-12-01T10:58:03.5559634Z with FakeTensorMode(): 2022-12-01T10:58:03.5559755Z 2022-12-01T10:58:03.5559887Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5560093Z ========== 2022-12-01T10:58:03.5560252Z ok (0.002s) 2022-12-01T10:58:03.5560495Z test_cpu_fallback (__main__.FakeTensorTest) ... skip: requires cuda (0.002s) 2022-12-01T10:58:03.5560798Z test_cudnn_rnn (__main__.FakeTensorTest) ... skip: requires cuda (0.002s) 2022-12-01T10:58:03.5561307Z test_data_dependent_operator (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_data_dependent_operator test_fake_tensor.py line 348 2022-12-01T10:58:03.5561630Z due to: 2022-12-01T10:58:03.5561815Z Traceback (most recent call last): 2022-12-01T10:58:03.5562140Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5562564Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5563069Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5563307Z 2022-12-01T10:58:03.5563379Z from user code: 2022-12-01T10:58:03.5563604Z File "test_fake_tensor.py", line 349, in test_data_dependent_operator 2022-12-01T10:58:03.5563917Z with FakeTensorMode(allow_fallback_kernels=False): 2022-12-01T10:58:03.5564068Z 2022-12-01T10:58:03.5564203Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5564409Z ========== 2022-12-01T10:58:03.5564732Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fake_tensor.py line 352 2022-12-01T10:58:03.5564984Z due to: 2022-12-01T10:58:03.5565159Z Traceback (most recent call last): 2022-12-01T10:58:03.5565551Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:58:03.5565992Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:58:03.5566738Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.clone.default(*(tensor([210, 4, 0, ..., 0, 0, 0], dtype=torch.uint8),), **{}) 2022-12-01T10:58:03.5567207Z 2022-12-01T10:58:03.5567332Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5567558Z ========== 2022-12-01T10:58:03.5567721Z ok (0.003s) 2022-12-01T10:58:03.5568139Z test_deepcopy (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_deepcopy test_fake_tensor.py line 357 2022-12-01T10:58:03.5568422Z due to: 2022-12-01T10:58:03.5568611Z Traceback (most recent call last): 2022-12-01T10:58:03.5568894Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5569308Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5569817Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5570057Z 2022-12-01T10:58:03.5570130Z from user code: 2022-12-01T10:58:03.5570350Z File "test_fake_tensor.py", line 359, in test_deepcopy 2022-12-01T10:58:03.5570576Z with FakeTensorMode() as mode: 2022-12-01T10:58:03.5570704Z 2022-12-01T10:58:03.5570835Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5571055Z ========== 2022-12-01T10:58:03.5571394Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _reconstruct /opt/conda/lib/python3.7/copy.py line 269 2022-12-01T10:58:03.5571657Z due to: 2022-12-01T10:58:03.5571842Z Traceback (most recent call last): 2022-12-01T10:58:03.5572116Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builder.py", line 427, in wrap_tensor 2022-12-01T10:58:03.5572434Z subclass_torch_function__func = value.__torch_function__.__func__ 2022-12-01T10:58:03.5572795Z AttributeError: 'builtin_function_or_method' object has no attribute '__func__' 2022-12-01T10:58:03.5572969Z 2022-12-01T10:58:03.5573102Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5573305Z ========== 2022-12-01T10:58:03.5573659Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _deepcopy_dict /opt/conda/lib/python3.7/copy.py line 237 2022-12-01T10:58:03.5573928Z due to: 2022-12-01T10:58:03.5574102Z Traceback (most recent call last): 2022-12-01T10:58:03.5574387Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builder.py", line 427, in wrap_tensor 2022-12-01T10:58:03.5574700Z subclass_torch_function__func = value.__torch_function__.__func__ 2022-12-01T10:58:03.5575047Z AttributeError: 'builtin_function_or_method' object has no attribute '__func__' 2022-12-01T10:58:03.5575291Z 2022-12-01T10:58:03.5575427Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5575648Z ========== 2022-12-01T10:58:03.5576002Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _keep_alive /opt/conda/lib/python3.7/copy.py line 253 2022-12-01T10:58:03.5576251Z due to: 2022-12-01T10:58:03.5576436Z Traceback (most recent call last): 2022-12-01T10:58:03.5576729Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builder.py", line 427, in wrap_tensor 2022-12-01T10:58:03.5577064Z subclass_torch_function__func = value.__torch_function__.__func__ 2022-12-01T10:58:03.5577431Z AttributeError: 'builtin_function_or_method' object has no attribute '__func__' 2022-12-01T10:58:03.5577602Z 2022-12-01T10:58:03.5577733Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5577938Z ========== 2022-12-01T10:58:03.5578294Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _deepcopy_list /opt/conda/lib/python3.7/copy.py line 211 2022-12-01T10:58:03.5578562Z due to: 2022-12-01T10:58:03.5578746Z Traceback (most recent call last): 2022-12-01T10:58:03.5579019Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builder.py", line 427, in wrap_tensor 2022-12-01T10:58:03.5579330Z subclass_torch_function__func = value.__torch_function__.__func__ 2022-12-01T10:58:03.5579693Z AttributeError: 'builtin_function_or_method' object has no attribute '__func__' 2022-12-01T10:58:03.5579869Z 2022-12-01T10:58:03.5579987Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5580206Z ========== 2022-12-01T10:58:03.5580372Z ok (0.034s) 2022-12-01T10:58:03.5580796Z test_fake_dispatch_keys (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fake_dispatch_keys test_fake_tensor.py line 112 2022-12-01T10:58:03.5581108Z due to: 2022-12-01T10:58:03.5581292Z Traceback (most recent call last): 2022-12-01T10:58:03.5581570Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5581988Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5582493Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5582732Z 2022-12-01T10:58:03.5582803Z from user code: 2022-12-01T10:58:03.5583017Z File "test_fake_tensor.py", line 113, in test_fake_dispatch_keys 2022-12-01T10:58:03.5583254Z with FakeTensorMode(): 2022-12-01T10:58:03.5583375Z 2022-12-01T10:58:03.5583509Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5583729Z ========== 2022-12-01T10:58:03.5583873Z ok (0.003s) 2022-12-01T10:58:03.5584322Z test_fake_grad_copy (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fake_tensor.py line 156 2022-12-01T10:58:03.5584641Z due to: 2022-12-01T10:58:03.5584811Z Traceback (most recent call last): 2022-12-01T10:58:03.5585091Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5585521Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5586008Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5586244Z 2022-12-01T10:58:03.5586316Z from user code: 2022-12-01T10:58:03.5586562Z File "test_fake_tensor.py", line 157, in 2022-12-01T10:58:03.5586811Z mode = FakeTensorMode() 2022-12-01T10:58:03.5586931Z 2022-12-01T10:58:03.5587049Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5587269Z ========== 2022-12-01T10:58:03.5587428Z ok (0.008s) 2022-12-01T10:58:03.5587635Z test_fake_mode_error (__main__.FakeTensorTest) ... ok (0.008s) 2022-12-01T10:58:03.5587974Z test_fallback_memory_prop (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-12-01T10:58:03.5588466Z test_from_numpy (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_from_numpy test_fake_tensor.py line 183 2022-12-01T10:58:03.5588758Z due to: 2022-12-01T10:58:03.5588931Z Traceback (most recent call last): 2022-12-01T10:58:03.5589210Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5589640Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5590161Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5590405Z 2022-12-01T10:58:03.5590478Z from user code: 2022-12-01T10:58:03.5590700Z File "test_fake_tensor.py", line 184, in test_from_numpy 2022-12-01T10:58:03.5590911Z with FakeTensorMode(): 2022-12-01T10:58:03.5591034Z 2022-12-01T10:58:03.5591165Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5591383Z ========== 2022-12-01T10:58:03.5591711Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT checkType test_fake_tensor.py line 23 2022-12-01T10:58:03.5591946Z due to: 2022-12-01T10:58:03.5592132Z Traceback (most recent call last): 2022-12-01T10:58:03.5592523Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:58:03.5592944Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:58:03.5593606Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.clone.default(*(tensor([210, 4, 0, ..., 0, 0, 0], dtype=torch.uint8),), **{}) 2022-12-01T10:58:03.5593927Z 2022-12-01T10:58:03.5594063Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5594288Z ========== 2022-12-01T10:58:03.5594432Z ok (0.004s) 2022-12-01T10:58:03.5594676Z test_index_cuda_with_cpu (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-12-01T10:58:03.5594995Z test_like_constructor (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-12-01T10:58:03.5595446Z test_mode (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mode test_fake_tensor.py line 131 2022-12-01T10:58:03.5595728Z due to: 2022-12-01T10:58:03.5595912Z Traceback (most recent call last): 2022-12-01T10:58:03.5596192Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5596607Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5597112Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5597351Z 2022-12-01T10:58:03.5597426Z from user code: 2022-12-01T10:58:03.5597625Z File "test_fake_tensor.py", line 132, in test_mode 2022-12-01T10:58:03.5597845Z with FakeTensorMode(): 2022-12-01T10:58:03.5597965Z 2022-12-01T10:58:03.5598099Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5598320Z ========== 2022-12-01T10:58:03.5598464Z ok (0.002s) 2022-12-01T10:58:03.5598868Z test_nan_to_num (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_nan_to_num test_fake_tensor.py line 78 2022-12-01T10:58:03.5599157Z due to: 2022-12-01T10:58:03.5599326Z Traceback (most recent call last): 2022-12-01T10:58:03.5599606Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5600033Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5600523Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5600797Z 2022-12-01T10:58:03.5600868Z from user code: 2022-12-01T10:58:03.5601088Z File "test_fake_tensor.py", line 79, in test_nan_to_num 2022-12-01T10:58:03.5601311Z with FakeTensorMode(): 2022-12-01T10:58:03.5601416Z 2022-12-01T10:58:03.5601548Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5601768Z ========== 2022-12-01T10:58:03.5601930Z ok (0.010s) 2022-12-01T10:58:03.5602142Z test_new (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-12-01T10:58:03.5602443Z test_non_kwarg_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-12-01T10:58:03.5602986Z test_non_parameter_grad (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_non_parameter_grad test_fake_tensor.py line 45 2022-12-01T10:58:03.5603296Z due to: 2022-12-01T10:58:03.5603466Z Traceback (most recent call last): 2022-12-01T10:58:03.5603744Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5604175Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5604669Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5604906Z 2022-12-01T10:58:03.5604977Z from user code: 2022-12-01T10:58:03.5605207Z File "test_fake_tensor.py", line 46, in test_non_parameter_grad 2022-12-01T10:58:03.5605426Z mode = FakeTensorMode() 2022-12-01T10:58:03.5605547Z 2022-12-01T10:58:03.5605679Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5605902Z ========== 2022-12-01T10:58:03.5606060Z ok (0.002s) 2022-12-01T10:58:03.5606287Z test_normalize_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-12-01T10:58:03.5606912Z test_parameter_instantiation (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parameter_instantiation test_fake_tensor.py line 39 2022-12-01T10:58:03.5607452Z due to: 2022-12-01T10:58:03.5607624Z Traceback (most recent call last): 2022-12-01T10:58:03.5607902Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5608333Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5608840Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5609064Z 2022-12-01T10:58:03.5609138Z from user code: 2022-12-01T10:58:03.5609379Z File "test_fake_tensor.py", line 40, in test_parameter_instantiation 2022-12-01T10:58:03.5609625Z with FakeTensorMode(): 2022-12-01T10:58:03.5609747Z 2022-12-01T10:58:03.5609866Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5610086Z ========== 2022-12-01T10:58:03.5610249Z ok (0.002s) 2022-12-01T10:58:03.5610649Z test_randperm (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_randperm test_fake_tensor.py line 188 2022-12-01T10:58:03.5610952Z due to: 2022-12-01T10:58:03.5611139Z Traceback (most recent call last): 2022-12-01T10:58:03.5611422Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5611838Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5612341Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5612581Z 2022-12-01T10:58:03.5612656Z from user code: 2022-12-01T10:58:03.5612863Z File "test_fake_tensor.py", line 191, in test_randperm 2022-12-01T10:58:03.5613088Z with FakeTensorMode(): 2022-12-01T10:58:03.5613211Z 2022-12-01T10:58:03.5613344Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5613563Z ========== 2022-12-01T10:58:03.5613784Z ok (0.004s) 2022-12-01T10:58:03.5614238Z test_recursive_invocation (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_recursive_invocation test_fake_tensor.py line 230 2022-12-01T10:58:03.5614556Z due to: 2022-12-01T10:58:03.5614729Z Traceback (most recent call last): 2022-12-01T10:58:03.5615013Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5615445Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5615975Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5616218Z 2022-12-01T10:58:03.5616293Z from user code: 2022-12-01T10:58:03.5616526Z File "test_fake_tensor.py", line 231, in test_recursive_invocation 2022-12-01T10:58:03.5616765Z mode = FakeTensorMode() 2022-12-01T10:58:03.5616873Z 2022-12-01T10:58:03.5617008Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5617229Z ========== 2022-12-01T10:58:03.5617393Z ok (0.002s) 2022-12-01T10:58:03.5617805Z test_scalar_inputs (__main__.FakeTensorTest) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_scalar_inputs test_fake_tensor.py line 399 2022-12-01T10:58:03.5618112Z due to: 2022-12-01T10:58:03.5618299Z Traceback (most recent call last): 2022-12-01T10:58:03.5618568Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:03.5619001Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:03.5619507Z AssertionError: torch.* op returned non-Tensor FakeTensorMode call_function 2022-12-01T10:58:03.5619746Z 2022-12-01T10:58:03.5619818Z from user code: 2022-12-01T10:58:03.5620031Z File "test_fake_tensor.py", line 400, in test_scalar_inputs 2022-12-01T10:58:03.5620266Z with FakeTensorMode(): 2022-12-01T10:58:03.5620387Z 2022-12-01T10:58:03.5620519Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:03.5620732Z ========== 2022-12-01T10:58:03.5620893Z ok (0.003s) 2022-12-01T10:58:03.5621126Z test_setitem (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-12-01T10:58:03.5621425Z test_shape_take_not_device (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-12-01T10:58:03.5621728Z test_throw (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-12-01T10:58:03.5622018Z test_type_as (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-12-01T10:58:03.5622313Z test_zero_dim (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-12-01T10:58:03.5622474Z 2022-12-01T10:58:03.5622664Z ---------------------------------------------------------------------- 2022-12-01T10:58:03.5622909Z Ran 50 tests in 5.027s 2022-12-01T10:58:03.5623024Z 2022-12-01T10:58:03.5623123Z OK (skipped=13, expected failures=1) 2022-12-01T10:58:03.5623261Z 2022-12-01T10:58:03.5623348Z Generating XML reports... 2022-12-01T10:58:03.5623773Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221201105758.xml 2022-12-01T10:58:03.5624326Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221201105758.xml 2022-12-01T10:58:03.5624903Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221201105758.xml 2022-12-01T10:58:03.5625426Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221201105758.xml 2022-12-01T10:58:03.5625655Z 2022-12-01T10:58:03.5625965Z ##[endgroup] 2022-12-01T10:58:03.5626355Z FINISHED PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_qa0n0r2i) 2022-12-01T10:58:03.5626574Z 2022-12-01T10:58:03.5626734Z Running test_functional_optim ... [2022-12-01 10:58:03.547027] 2022-12-01T10:58:03.5627272Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_optim.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:58:03.547346] 2022-12-01T10:58:10.3251084Z 2022-12-01T10:58:10.3251805Z Expand the folded group to see the log file of test_functional_optim 2022-12-01T10:58:10.3254087Z ##[group]PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_km3mih40) 2022-12-01T10:58:10.3255045Z Test results will be stored in test-reports/python-unittest/test_functional_optim 2022-12-01T10:58:10.3255385Z 2022-12-01T10:58:10.3255560Z Running tests... 2022-12-01T10:58:10.3256219Z ---------------------------------------------------------------------- 2022-12-01T10:58:10.3256865Z test_functional_optim_parity_adam (__main__.TestFunctionalOptimParity) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /opt/conda/lib/python3.7/site-packages/torch/optim/optimizer.py line 49 2022-12-01T10:58:10.3257264Z due to: 2022-12-01T10:58:10.3257439Z Traceback (most recent call last): 2022-12-01T10:58:10.3257730Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 140, in python_type 2022-12-01T10:58:10.3258032Z raise NotImplementedError(f"{self} has no type") 2022-12-01T10:58:10.3258312Z NotImplementedError: ListIteratorVariable() has no type 2022-12-01T10:58:10.3258491Z 2022-12-01T10:58:10.3258599Z from user code: 2022-12-01T10:58:10.3259101Z File "/opt/conda/lib/python3.7/site-packages/torch/optim/optimizer.py", line 51, in 2022-12-01T10:58:10.3259456Z if isinstance(params, torch.Tensor): 2022-12-01T10:58:10.3259643Z 2022-12-01T10:58:10.3259766Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:10.3259988Z ========== 2022-12-01T10:58:10.3260148Z ok (4.647s) 2022-12-01T10:58:10.3260447Z test_functional_optim_parity_adam_w (__main__.TestFunctionalOptimParity) ... ok (0.270s) 2022-12-01T10:58:10.3261111Z test_functional_optim_parity_sgd (__main__.TestFunctionalOptimParity) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_functional_optim.py line 74 2022-12-01T10:58:10.3261481Z due to: 2022-12-01T10:58:10.3261666Z Traceback (most recent call last): 2022-12-01T10:58:10.3261994Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:58:10.3262393Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:58:10.3262720Z AssertionError: _RequiredParameter 2022-12-01T10:58:10.3262857Z 2022-12-01T10:58:10.3262917Z from user code: 2022-12-01T10:58:10.3263180Z File "test_functional_optim.py", line 77, in 2022-12-01T10:58:10.3263470Z optim = optim_cls(optim_params, *args, **kwargs) 2022-12-01T10:58:10.3263608Z 2022-12-01T10:58:10.3263739Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:10.3263944Z ========== 2022-12-01T10:58:10.3264108Z ok (0.135s) 2022-12-01T10:58:10.3264370Z test_functional_optim_registration (__main__.TestFunctionalOptimParity) ... ok (0.006s) 2022-12-01T10:58:10.3264563Z 2022-12-01T10:58:10.3264755Z ---------------------------------------------------------------------- 2022-12-01T10:58:10.3264999Z Ran 4 tests in 5.121s 2022-12-01T10:58:10.3265113Z 2022-12-01T10:58:10.3265175Z OK 2022-12-01T10:58:10.3265265Z 2022-12-01T10:58:10.3265336Z Generating XML reports... 2022-12-01T10:58:10.3265793Z Generated XML report: test-reports/python-unittest/test_functional_optim/TEST-TestFunctionalOptimParity-20221201105804.xml 2022-12-01T10:58:10.3266057Z 2022-12-01T10:58:10.3266323Z ##[endgroup] 2022-12-01T10:58:10.3266713Z FINISHED PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_km3mih40) 2022-12-01T10:58:10.3266944Z 2022-12-01T10:58:10.3267108Z Running test_prims ... [2022-12-01 10:58:10.325751] 2022-12-01T10:58:10.3267561Z Executing ['/opt/conda/bin/python', '-bb', 'test_prims.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:58:10.326153] 2022-12-01T10:58:13.4653708Z 2022-12-01T10:58:13.4654272Z Expand the folded group to see the log file of test_prims 2022-12-01T10:58:13.4655263Z ##[group]PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_2o1otdz8) 2022-12-01T10:58:13.4656036Z Test results will be stored in test-reports/python-unittest/test_prims 2022-12-01T10:58:13.4656215Z 2022-12-01T10:58:13.4656290Z Running tests... 2022-12-01T10:58:13.4656601Z ---------------------------------------------------------------------- 2022-12-01T10:58:13.4657119Z test_decomposition_method_vararg_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.159s) 2022-12-01T10:58:13.4657477Z test_decomposition_method_vararg_permute_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-12-01T10:58:13.4657855Z test_decomposition_type_promotion_nvprim_amp_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4658387Z test_decomposition_type_promotion_nvprim_amp_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4658816Z test_masked_fill_decomposition_under_nvprim_context_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4659215Z test_masked_fill_decomposition_under_nvprim_context_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4659597Z test_mul_complex (__main__.TestPrimsBasic) ... ok (0.004s) 2022-12-01T10:58:13.4659850Z test_torch_ops (__main__.TestPrimsBasic) ... ok (0.028s) 2022-12-01T10:58:13.4660366Z test_aten_overload_to_prims_cpu (__main__.TestPrimsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_aten_overload_to_prims test_prims.py line 423 2022-12-01T10:58:13.4660679Z due to: 2022-12-01T10:58:13.4660863Z Traceback (most recent call last): 2022-12-01T10:58:13.4661249Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:58:13.4661607Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:58:13.4661841Z AssertionError: function 2022-12-01T10:58:13.4661959Z 2022-12-01T10:58:13.4662017Z from user code: 2022-12-01T10:58:13.4662285Z File "test_prims.py", line 433, in test_aten_overload_to_prims 2022-12-01T10:58:13.4662519Z with TorchRefsMode(): 2022-12-01T10:58:13.4662639Z 2022-12-01T10:58:13.4662756Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:13.4662976Z ========== 2022-12-01T10:58:13.4663135Z ok (0.009s) 2022-12-01T10:58:13.4663409Z test_batch_norm_backward_nvprims_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4663759Z test_batch_norm_backward_nvprims_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4664102Z test_broadcast_in_dim_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4664438Z test_broadcast_in_dim_sum_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4665054Z test_cbrt_prim_cpu_float64 (__main__.TestPrimsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_prims.py line 129 2022-12-01T10:58:13.4665370Z due to: 2022-12-01T10:58:13.4665562Z Traceback (most recent call last): 2022-12-01T10:58:13.4665847Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:13.4666274Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:13.4666741Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T10:58:13.4666947Z 2022-12-01T10:58:13.4667021Z from user code: 2022-12-01T10:58:13.4667244Z File "test_prims.py", line 135, in 2022-12-01T10:58:13.4667658Z cur_default = torch.get_default_dtype() 2022-12-01T10:58:13.4667795Z 2022-12-01T10:58:13.4667927Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:13.4668147Z ========== 2022-12-01T10:58:13.4668297Z ok (0.016s) 2022-12-01T10:58:13.4668526Z test_cbrt_prim_cpu_int64 (__main__.TestPrimsCPU) ... ok (0.012s) 2022-12-01T10:58:13.4668826Z test_cpu_tensor_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4669140Z test_cpu_tensor_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4669499Z test_memory_format_strides_cpu_float32 (__main__.TestPrimsCPU) ... ok (0.049s) 2022-12-01T10:58:13.4669838Z test_native_batch_norm_nvprims_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4670190Z test_native_batch_norm_nvprims_cpu_float64 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4670503Z test_nvfuser_capability_context_cpu (__main__.TestPrimsCPU) ... ok (0.066s) 2022-12-01T10:58:13.4670829Z test_nvfuser_constant_tensors_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4671156Z test_nvfuser_empty_fusion_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4671506Z test_nvfuser_executor_cached_noncontiguous_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4671851Z test_nvfuser_executor_parameters_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4672204Z test_nvfuser_executor_partitioned_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4672580Z test_nvfuser_executor_partitioned_no_partitions_error_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4672923Z test_nvfuser_impl_is_used_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4673242Z test_nvfuser_no_args_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4673574Z test_nvfuser_rand_like_fusion_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4673922Z test_nvprim_convert_element_type_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:58:13.4674264Z test_nvprim_convert_element_type_cpu_uint8 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4674573Z test_nvprims_cpu (__main__.TestPrimsCPU) ... ok (0.018s) 2022-12-01T10:58:13.4674876Z test_pytree_input_output_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4675197Z test_reshape_view_method_cpu_float32 (__main__.TestPrimsCPU) ... ok (0.039s) 2022-12-01T10:58:13.4675494Z test_skip_ops_nvfuser_capability_mode_cpu (__main__.TestPrimsCPU) ... ok (0.012s) 2022-12-01T10:58:13.4675802Z test_skip_ops_nvfuser_prims_mode_cpu (__main__.TestPrimsCPU) ... ok (0.011s) 2022-12-01T10:58:13.4676128Z test_var_correction_0_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4676451Z test_var_correction_1_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4676802Z test_var_mean_correction_0_keepdim_False_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4677173Z test_var_mean_correction_0_keepdim_False_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4677548Z test_var_mean_correction_0_keepdim_True_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4677905Z test_var_mean_correction_0_keepdim_True_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4678273Z test_var_mean_correction_1_keepdim_False_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4678640Z test_var_mean_correction_1_keepdim_False_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4679043Z test_var_mean_correction_1_keepdim_True_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4679397Z test_var_mean_correction_1_keepdim_True_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:58:13.4679736Z test_constant_pad_nd_memory_format_cpu_float32 (__main__.TestRefsCPU) ... ok (0.014s) 2022-12-01T10:58:13.4679913Z 2022-12-01T10:58:13.4680121Z ---------------------------------------------------------------------- 2022-12-01T10:58:13.4680351Z Ran 48 tests in 0.575s 2022-12-01T10:58:13.4680466Z 2022-12-01T10:58:13.4680572Z OK (skipped=34) 2022-12-01T10:58:13.4680685Z 2022-12-01T10:58:13.4680771Z Generating XML reports... 2022-12-01T10:58:13.4681169Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestDecompCPU-20221201105812.xml 2022-12-01T10:58:13.4681653Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestPrimsBasic-20221201105812.xml 2022-12-01T10:58:13.4682137Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestPrimsCPU-20221201105812.xml 2022-12-01T10:58:13.4682612Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestRefsCPU-20221201105812.xml 2022-12-01T10:58:13.4682822Z 2022-12-01T10:58:13.4683084Z ##[endgroup] 2022-12-01T10:58:13.4683449Z FINISHED PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_2o1otdz8) 2022-12-01T10:58:13.4683657Z 2022-12-01T10:58:13.4683842Z Running test_jit_cuda_fuser ... [2022-12-01 10:58:13.465748] 2022-12-01T10:58:13.4684320Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_cuda_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:58:13.466052] 2022-12-01T10:58:16.6873708Z 2022-12-01T10:58:16.6874576Z Expand the folded group to see the log file of test_jit_cuda_fuser 2022-12-01T10:58:16.6875667Z ##[group]PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_tkw0iktq) 2022-12-01T10:58:16.6876568Z Test results will be stored in test-reports/python-unittest/test_jit_cuda_fuser 2022-12-01T10:58:16.6876761Z 2022-12-01T10:58:16.6876907Z Running tests... 2022-12-01T10:58:16.6877216Z ---------------------------------------------------------------------- 2022-12-01T10:58:16.6877533Z test__softmax_function (__main__.TestCudaFuser) ... skip: requires CUDA (0.012s) 2022-12-01T10:58:16.6877871Z test__softmax_function_half_to_float (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6878183Z test_addcmul_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6878531Z test_alias_pass_fix (__main__.TestCudaFuser) ... skip: skipping this test since unsqueeze is disabled now (0.001s) 2022-12-01T10:58:16.6878865Z test_autocast_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6879156Z test_autocast_1_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6879456Z test_autocast_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6879753Z test_autocast_2_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6880056Z test_backward_type (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6880342Z test_batch_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6880666Z test_batch_norm_impl_index_correctness (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6881012Z test_batch_norm_impl_index_inner_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6881330Z test_bfloat (__main__.TestCudaFuser) ... skip: device does not support BFloat16 (0.001s) 2022-12-01T10:58:16.6881646Z test_binary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6881941Z test_binary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6882501Z test_binary_ops_channels_last_with_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6882890Z test_binary_ops_complex (__main__.TestCudaFuser) ... skip: see issue https://github.com/csarofeen/pytorch/issues/1730 (0.001s) 2022-12-01T10:58:16.6883257Z test_binary_ops_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6883563Z test_branches (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6883847Z test_broadcasting_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6884209Z test_broadcasting_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6884506Z test_broadcasting_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6884803Z test_broadcasting_3 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6885254Z test_broadcasting_multiple_output (__main__.TestCudaFuser) ... skip: broadcast on branches can't be resolved yet (0.001s) 2022-12-01T10:58:16.6885674Z test_broadcasting_multiple_output_shape (__main__.TestCudaFuser) ... skip: Broadcast with different output not supported yet (0.001s) 2022-12-01T10:58:16.6886059Z test_broadcasting_partition_logic_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6886393Z test_broadcasting_partition_logic_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6886810Z test_build_shape_expression_native_dropout (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6887321Z test_category_rule (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6887641Z test_channels_last_with_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.006s) 2022-12-01T10:58:16.6887933Z test_chunk (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6888220Z test_clamp (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6888524Z test_clamp_reversed_bound (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6888841Z test_clean_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6889119Z test_const (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6889422Z test_contiguous_on_broadcasted (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6889733Z test_conv2d_bias (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6890029Z test_conv2d_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6890339Z test_cpu_scalar (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6890643Z test_cuda_fusion_guard (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6890967Z test_cuda_fusion_guard_backward (__main__.TestCudaFuser) ... skip: requires NVFuser (0.001s) 2022-12-01T10:58:16.6891276Z test_device_constant (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6891620Z test_disable_const_chunk_propagation_for_normalization (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6891966Z test_disable_sibling_fuse (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6892272Z test_dropout_inference_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6892606Z test_dropout_train_nograd_fusion (__main__.TestCudaFuser) ... skip: not enough memory (0.001s) 2022-12-01T10:58:16.6892942Z test_dropout_train_nograd_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6893275Z test_dropout_training_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6893588Z test_dropout_training_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6893960Z test_dynamic_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6894249Z test_expand (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6894557Z test_fix_shape_expression_bn (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6894886Z test_flatten (__main__.TestCudaFuser) ... skip: skipping this test since flatten is disabled now (0.002s) 2022-12-01T10:58:16.6895201Z test_gelu (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6895538Z test_grad_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6895855Z test_graph_for_with_missing_optimized_engine (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6896172Z test_graph_rng (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6896457Z test_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6896752Z test_high_rank_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6897043Z test_inf_quick_patch (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6897346Z test_inplace_removal (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6897664Z test_input_output_passthrough (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6897967Z test_int_tensor_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6898264Z test_issue1445_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6898555Z test_issue_1785 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6898854Z test_layer_norm_autodiff (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6899152Z test_layer_norm_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6899476Z test_layer_norm_trivial_reduce_dim (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6899780Z test_linear (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6900071Z test_linear_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6900381Z test_multiple_device_pw (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6900696Z test_native_batch_norm_backward (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6901011Z test_native_layer_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6901307Z test_native_layer_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6901623Z test_native_layer_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6901958Z test_nested_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.000s) 2022-12-01T10:58:16.6902265Z test_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6902550Z test_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6902848Z test_norm_channels_last (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6903145Z test_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6903425Z test_norm_half_layer (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6903717Z test_norm_large (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6904027Z test_normalization_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6904360Z test_nvfuser_comparison_callbacks_with_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6904729Z test_nvfuser_comparison_callbacks_without_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6905100Z test_overlapped_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6905416Z test_permutation_preservation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6905741Z test_permutation_preservation_edge_case_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6906098Z test_permutation_preservation_edge_case_1_broken (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6906452Z test_permutation_preservation_edge_case_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6906821Z test_pointwise_reference_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6907120Z test_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6907443Z test_profile_ivalue_multiple_profiles (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6907792Z test_profiling_node (__main__.TestCudaFuser) ... skip: Skipped due to rand_like behavior change (0.001s) 2022-12-01T10:58:16.6908127Z test_pw_single_reduction_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6908439Z test_random_topo (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-12-01T10:58:16.6908734Z test_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6909039Z test_reduction_dtypes_axis (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6909344Z test_reduction_empty_axes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6909665Z test_reduction_multiple_output (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6909988Z test_reduction_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6910291Z test_reduction_sizes_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6910613Z test_remove_output_used_only_in_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6910916Z test_rsub (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6911213Z test_scalar_cuda_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6911498Z test_scalar_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6911794Z test_scalar_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6912105Z test_scalar_tensor_permuted (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6912435Z test_scheduler_with_polymorphic_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6912818Z test_shape_expression (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.002s) 2022-12-01T10:58:16.6913165Z test_sibling_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6913486Z test_sibling_fusion_no_scalar_inputs (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6913804Z test_single_reduction_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6914123Z test_singleton_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-12-01T10:58:16.6914422Z test_skip_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6914714Z test_softmax (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6914996Z test_softmax_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6915298Z test_softmax_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6915591Z test_softmax_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6915876Z test_softplus_fuser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6916258Z test_squeeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s) 2022-12-01T10:58:16.6916654Z test_squeeze_negative_dim (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s) 2022-12-01T10:58:16.6917056Z test_squeeze_zero (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s) 2022-12-01T10:58:16.6917383Z test_strict_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6917708Z test_sum_to_one (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6918006Z test_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6918285Z test_ternary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6918605Z test_ternary_ops_integer_compatibility (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-12-01T10:58:16.6918941Z test_ternary_ops_type_promotion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6919245Z test_to_boolean (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6919518Z test_to_copy (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6919816Z test_to_dtype_bf16_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6920124Z test_to_dtype_bf16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6920419Z test_to_dtype_fp16_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6920722Z test_to_dtype_fp16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6921026Z test_to_dtype_fp32_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6921330Z test_to_dtype_fp32_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6921623Z test_trivial_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6921919Z test_type_as_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6922216Z test_type_inference (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6922502Z test_unary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6922794Z test_unary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-12-01T10:58:16.6923137Z test_unsqueeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s) 2022-12-01T10:58:16.6923473Z test_variance (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6923777Z test_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.001s) 2022-12-01T10:58:16.6924142Z test_view_copy_graph_guard (__main__.TestCudaFuser) ... skip: skipping this test since reshape is disabled now (0.001s) 2022-12-01T10:58:16.6924541Z test_view_copy_graph_guard_double_fusion (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.001s) 2022-12-01T10:58:16.6925178Z test_can_be_enabled_nvfuser (__main__.TestEnableDisableCudaFuser) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_can_be_enabled_nvfuser test_jit_cuda_fuser.py line 5037 2022-12-01T10:58:16.6925508Z due to: 2022-12-01T10:58:16.6925693Z Traceback (most recent call last): 2022-12-01T10:58:16.6925979Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:16.6926399Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:16.6927188Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:58:16.6927439Z 2022-12-01T10:58:16.6927583Z from user code: 2022-12-01T10:58:16.6927825Z File "test_jit_cuda_fuser.py", line 5040, in test_can_be_enabled_nvfuser 2022-12-01T10:58:16.6928108Z self.assertEqual(expected, torch._C._jit_nvfuser_can_be_enabled()) 2022-12-01T10:58:16.6928274Z 2022-12-01T10:58:16.6928407Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:16.6928627Z ========== 2022-12-01T10:58:16.6928773Z ok (0.115s) 2022-12-01T10:58:16.6929042Z test_context_manager_test (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6929403Z test_register_fuser (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.001s) 2022-12-01T10:58:16.6929779Z test_register_fuser_cpu (__main__.TestEnableDisableCudaFuser) ... ok (0.006s) 2022-12-01T10:58:16.6930226Z test_autodiff_fallback (jit.test_fuser_common.TestFuserCommon) ... Exception ignored in: .extract_files.. at 0x7fe942a24350> 2022-12-01T10:58:16.6930608Z Traceback (most recent call last): 2022-12-01T10:58:16.6931002Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 210, in 2022-12-01T10:58:16.6931312Z debug_files = (pickle.load(f) for f in debug_files_stream) 2022-12-01T10:58:16.6931568Z SystemError: error return without exception set 2022-12-01T10:58:16.6931913Z Exception ignored in: .extract_files.. at 0x7fe942a24450> 2022-12-01T10:58:16.6932224Z Traceback (most recent call last): 2022-12-01T10:58:16.6932593Z File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_utils.py", line 209, in 2022-12-01T10:58:16.6932918Z debug_files_stream = (archive.open(f) for f in debug_files_str) 2022-12-01T10:58:16.6933183Z SystemError: error return without exception set 2022-12-01T10:58:16.6933375Z ok (0.065s) 2022-12-01T10:58:16.6933474Z 2022-12-01T10:58:16.6933674Z ---------------------------------------------------------------------- 2022-12-01T10:58:16.6933917Z Ran 152 tests in 0.478s 2022-12-01T10:58:16.6934029Z 2022-12-01T10:58:16.6934100Z OK (skipped=149) 2022-12-01T10:58:16.6934194Z 2022-12-01T10:58:16.6934275Z Generating XML reports... 2022-12-01T10:58:16.6934725Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestEnableDisableCudaFuser-20221201105815.xml 2022-12-01T10:58:16.6935311Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-jit.test_fuser_common.TestFuserCommon-20221201105815.xml 2022-12-01T10:58:16.6935827Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestCudaFuser-20221201105815.xml 2022-12-01T10:58:16.6936051Z 2022-12-01T10:58:16.6936333Z ##[endgroup] 2022-12-01T10:58:16.6936724Z FINISHED PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_tkw0iktq) 2022-12-01T10:58:16.6936941Z 2022-12-01T10:58:16.6937136Z Running test_functionalization ... [2022-12-01 10:58:16.687792] 2022-12-01T10:58:16.6937620Z Executing ['/opt/conda/bin/python', '-bb', 'test_functionalization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:58:16.688116] 2022-12-01T10:58:18.1991622Z 2022-12-01T10:58:18.1992140Z Expand the folded group to see the log file of test_functionalization 2022-12-01T10:58:18.1993161Z ##[group]PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_dqdahe4p) 2022-12-01T10:58:18.1993411Z 2022-12-01T10:58:18.1993516Z Running tests... 2022-12-01T10:58:18.1993928Z ---------------------------------------------------------------------- 2022-12-01T10:58:18.1994489Z test_aliases_maintained_after_pass_when_reapplying_views (__main__.TestFunctionalization) ... Test results will be stored in test-reports/python-unittest/test_functionalization 2022-12-01T10:58:18.1994979Z skip: https://github.com/pytorch/pytorch/issues/81457 (0.003s) 2022-12-01T10:58:18.1995650Z test_as_strided (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.003s) 2022-12-01T10:58:18.1996048Z test_cat (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.1996428Z test_copy_ (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.002s) 2022-12-01T10:58:18.1996821Z test_diagonal (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.1997314Z test_diagonal_mutated_input (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.1997739Z test_everything (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.1998163Z test_expand_symint (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.1998621Z test_fill_ (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.1999026Z test_index_mutation_on_non_input (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.1999442Z test_inplace_on_non_view (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.1999840Z test_metadata_change (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2000258Z test_metadata_change_out_op (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2000682Z test_mixed_wrappers_invalid (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2001098Z test_mixed_wrappers_valid (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2001492Z test_multi_out (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2001895Z test_multiple_views_of_same_base (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2002323Z test_mutable_op_not_inplace_or_other (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2002763Z test_nested_functions_propagate_updates (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2003170Z test_only_one_view (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2003572Z test_optional_tensor_list (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2003981Z test_reapply_views_simple (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2004397Z test_resize_larger_invalid (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2004794Z test_resize_larger_valid (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2005201Z test_resize_smaller (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2005616Z test_save_for_backwards_segfault (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2006024Z test_scalars (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2006396Z test_simple (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2006917Z test_simple_out (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2007516Z test_split (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2007909Z test_tensor_ctr (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2008303Z test_tensor_list_composite (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.000s) 2022-12-01T10:58:18.2008806Z test_tensor_list_mixed_functional_nonfunctional (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2009235Z test_view_inplace (__main__.TestFunctionalization) ... skip: https://github.com/pytorch/pytorch/issues/81457 (0.001s) 2022-12-01T10:58:18.2009451Z 2022-12-01T10:58:18.2009681Z ---------------------------------------------------------------------- 2022-12-01T10:58:18.2009912Z Ran 34 tests in 0.100s 2022-12-01T10:58:18.2010024Z 2022-12-01T10:58:18.2010098Z OK (skipped=34) 2022-12-01T10:58:18.2010206Z 2022-12-01T10:58:18.2010290Z Generating XML reports... 2022-12-01T10:58:18.2010730Z Generated XML report: test-reports/python-unittest/test_functionalization/TEST-TestFunctionalization-20221201105817.xml 2022-12-01T10:58:18.2010992Z 2022-12-01T10:58:18.2011267Z ##[endgroup] 2022-12-01T10:58:18.2011681Z FINISHED PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_dqdahe4p) 2022-12-01T10:58:18.2011922Z 2022-12-01T10:58:18.2012087Z Running test_cuda ... [2022-12-01 10:58:18.199399] 2022-12-01T10:58:18.2012524Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:58:18.199724] 2022-12-01T10:58:19.6277393Z 2022-12-01T10:58:19.6277917Z Expand the folded group to see the log file of test_cuda 2022-12-01T10:58:19.6278969Z ##[group]PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_lo6lncdu) 2022-12-01T10:58:19.6279543Z CUDA not available, skipping tests 2022-12-01T10:58:19.6279763Z 2022-12-01T10:58:19.6279824Z Running tests... 2022-12-01T10:58:19.6280270Z ---------------------------------------------------------------------- 2022-12-01T10:58:19.6280452Z 2022-12-01T10:58:19.6280758Z ---------------------------------------------------------------------- 2022-12-01T10:58:19.6281022Z Ran 0 tests in 0.000s 2022-12-01T10:58:19.6281147Z 2022-12-01T10:58:19.6281208Z OK 2022-12-01T10:58:19.6281298Z 2022-12-01T10:58:19.6281392Z Generating XML reports... 2022-12-01T10:58:19.6281791Z Test results will be stored in test-reports/python-unittest/test_cuda 2022-12-01T10:58:19.6281961Z 2022-12-01T10:58:19.6282180Z ##[endgroup] 2022-12-01T10:58:19.6282602Z FINISHED PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_lo6lncdu) 2022-12-01T10:58:19.6282813Z 2022-12-01T10:58:19.6282990Z Running test_ao_sparsity ... [2022-12-01 10:58:19.627999] 2022-12-01T10:58:19.6285408Z Executing ['/opt/conda/bin/python', '-bb', 'test_ao_sparsity.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:58:19.628321] 2022-12-01T10:58:37.2573402Z 2022-12-01T10:58:37.2573895Z Expand the folded group to see the log file of test_ao_sparsity 2022-12-01T10:58:37.2574855Z ##[group]PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_i19w2ow7) 2022-12-01T10:58:37.2575769Z Test results will be stored in test-reports/python-unittest/test_ao_sparsity 2022-12-01T10:58:37.2576026Z 2022-12-01T10:58:37.2576133Z Running tests... 2022-12-01T10:58:37.2576572Z ---------------------------------------------------------------------- 2022-12-01T10:58:37.2577040Z test_activation_sparsifier (ao.sparsity.test_activation_sparsifier.TestActivationSparsifier) 2022-12-01T10:58:37.2577911Z Simulates the workflow of the activation sparsifier, starting from object creation ... skip: TorchDynamo fails with unknown reason (5.370s) 2022-12-01T10:58:37.2578483Z test_constructor (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) 2022-12-01T10:58:37.2578985Z Checks if the warning is thrown if the scheduler step is called ... ok (0.064s) 2022-12-01T10:58:37.2579468Z test_order_of_steps (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.613s) 2022-12-01T10:58:37.2580727Z test_state_dict (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_data_scheduler.py line 64 2022-12-01T10:58:37.2581404Z due to: 2022-12-01T10:58:37.2581692Z Traceback (most recent call last): 2022-12-01T10:58:37.2582199Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:58:37.2582680Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:58:37.2583204Z NotImplementedError: UserDefinedObjectVariable(_VariadicGenericAlias) is not a constant 2022-12-01T10:58:37.2583472Z 2022-12-01T10:58:37.2583588Z from user code: 2022-12-01T10:58:37.2584070Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_data_scheduler.py", line 65, in 2022-12-01T10:58:37.2584548Z if isinstance(some_data, Tuple): 2022-12-01T10:58:37.2584707Z 2022-12-01T10:58:37.2584927Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2585298Z ========== 2022-12-01T10:58:37.2585571Z ok (0.024s) 2022-12-01T10:58:37.2585964Z test_step (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.009s) 2022-12-01T10:58:37.2587054Z test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _get_name_data_config /var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py line 49 2022-12-01T10:58:37.2587526Z due to: 2022-12-01T10:58:37.2587697Z Traceback (most recent call last): 2022-12-01T10:58:37.2587991Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:58:37.2588356Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:58:37.2588684Z NotImplementedError: UserDefinedObjectVariable(_VariadicGenericAlias) is not a constant 2022-12-01T10:58:37.2588944Z 2022-12-01T10:58:37.2589004Z from user code: 2022-12-01T10:58:37.2589284Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py", line 51, in _get_name_data_config 2022-12-01T10:58:37.2589615Z if isinstance(some_data, Tuple): 2022-12-01T10:58:37.2589752Z 2022-12-01T10:58:37.2589871Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2590087Z ========== 2022-12-01T10:58:37.2590712Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.2591418Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.2592004Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.2592528Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.2593120Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.2593643Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.2593919Z ok (0.258s) 2022-12-01T10:58:37.2594658Z test_nn_parameters (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.2595379Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.2595626Z ok (0.174s) 2022-12-01T10:58:37.2596306Z test_tensors (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.2596921Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.2597167Z ok (0.135s) 2022-12-01T10:58:37.2597411Z test_constructor (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.211s) 2022-12-01T10:58:37.2597724Z test_prepare_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.331s) 2022-12-01T10:58:37.2598046Z test_prepare_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.106s) 2022-12-01T10:58:37.2598375Z test_squash_mask_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.353s) 2022-12-01T10:58:37.2598687Z test_squash_mask_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.188s) 2022-12-01T10:58:37.2599052Z test_step_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... skip: TorchDynamo fails with unknown reason (0.001s) 2022-12-01T10:58:37.2599406Z test_step_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.501s) 2022-12-01T10:58:37.2599746Z test_constructor (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.083s) 2022-12-01T10:58:37.2600081Z test_mask_squash (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.050s) 2022-12-01T10:58:37.2600439Z test_mask_squash_with_params1 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.067s) 2022-12-01T10:58:37.2600810Z test_mask_squash_with_params2 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.066s) 2022-12-01T10:58:37.2601176Z test_mask_squash_with_params3 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.067s) 2022-12-01T10:58:37.2601523Z test_prepare_config (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s) 2022-12-01T10:58:37.2601875Z test_state_dict (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.474s) 2022-12-01T10:58:37.2602213Z test_step (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.038s) 2022-12-01T10:58:37.2602879Z test_convert_without_squash_mask (ao.sparsity.test_composability.TestComposability) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_convert_without_squash_mask /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 129 2022-12-01T10:58:37.2603287Z due to: 2022-12-01T10:58:37.2603471Z Traceback (most recent call last): 2022-12-01T10:58:37.2603750Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2604169Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2604623Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2604834Z 2022-12-01T10:58:37.2604904Z from user code: 2022-12-01T10:58:37.2605185Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 134, in test_convert_without_squash_mask 2022-12-01T10:58:37.2605539Z ) = _get_model_and_sparsifier_and_sparse_config(tq.get_default_qconfig("fbgemm")) 2022-12-01T10:58:37.2605718Z 2022-12-01T10:58:37.2605849Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2606068Z ========== 2022-12-01T10:58:37.2606554Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _calculate_sparsity /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 59 2022-12-01T10:58:37.2606901Z due to: 2022-12-01T10:58:37.2607276Z Traceback (most recent call last): 2022-12-01T10:58:37.2607657Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:58:37.2608012Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:58:37.2608379Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:58:37.2608592Z 2022-12-01T10:58:37.2608727Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2608890Z 2022-12-01T10:58:37.2608969Z Traceback (most recent call last): 2022-12-01T10:58:37.2609317Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:58:37.2609560Z ) from e 2022-12-01T10:58:37.2609887Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:58:37.2610155Z 2022-12-01T10:58:37.2610292Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2610514Z ========== 2022-12-01T10:58:37.2611066Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2611523Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2611747Z ok (0.270s) 2022-12-01T10:58:37.2612322Z test_fusion_before_s_prep (ao.sparsity.test_composability.TestComposability) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fusion_before_s_prep /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 196 2022-12-01T10:58:37.2612703Z due to: 2022-12-01T10:58:37.2612887Z Traceback (most recent call last): 2022-12-01T10:58:37.2613164Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2613582Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2614037Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2614245Z 2022-12-01T10:58:37.2614315Z from user code: 2022-12-01T10:58:37.2614979Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 201, in test_fusion_before_s_prep 2022-12-01T10:58:37.2615317Z ) = _get_model_and_sparsifier_and_sparse_config(tq.get_default_qconfig("fbgemm")) 2022-12-01T10:58:37.2615496Z 2022-12-01T10:58:37.2615629Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2615847Z ========== 2022-12-01T10:58:37.2616402Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2616837Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2617063Z ok (0.207s) 2022-12-01T10:58:37.2617641Z test_q_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_q_prep_before_s_prep /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 69 2022-12-01T10:58:37.2618038Z due to: 2022-12-01T10:58:37.2618208Z Traceback (most recent call last): 2022-12-01T10:58:37.2618484Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2618913Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2619350Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2619558Z 2022-12-01T10:58:37.2619628Z from user code: 2022-12-01T10:58:37.2619914Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 74, in test_q_prep_before_s_prep 2022-12-01T10:58:37.2620316Z ) = _get_model_and_sparsifier_and_sparse_config(tq.get_default_qconfig("fbgemm")) 2022-12-01T10:58:37.2620479Z 2022-12-01T10:58:37.2620610Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2620829Z ========== 2022-12-01T10:58:37.2621642Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2622403Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2622760Z ok (0.220s) 2022-12-01T10:58:37.2623719Z test_qat_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_qat_prep_before_s_prep /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 277 2022-12-01T10:58:37.2624349Z due to: 2022-12-01T10:58:37.2624606Z Traceback (most recent call last): 2022-12-01T10:58:37.2625066Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2625740Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2626537Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2626852Z 2022-12-01T10:58:37.2626963Z from user code: 2022-12-01T10:58:37.2627445Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 279, in test_qat_prep_before_s_prep 2022-12-01T10:58:37.2627960Z tq.get_default_qat_qconfig("fbgemm") 2022-12-01T10:58:37.2628194Z 2022-12-01T10:58:37.2628413Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2628775Z ========== 2022-12-01T10:58:37.2629763Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2630506Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2630832Z ok (0.017s) 2022-12-01T10:58:37.2631716Z test_s_prep_before_fusion (ao.sparsity.test_composability.TestComposability) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_s_prep_before_fusion /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 167 2022-12-01T10:58:37.2632261Z due to: 2022-12-01T10:58:37.2632509Z Traceback (most recent call last): 2022-12-01T10:58:37.2632897Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2633494Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2634116Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2634409Z 2022-12-01T10:58:37.2634490Z from user code: 2022-12-01T10:58:37.2634883Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 172, in test_s_prep_before_fusion 2022-12-01T10:58:37.2635360Z ) = _get_model_and_sparsifier_and_sparse_config(tq.get_default_qconfig("fbgemm")) 2022-12-01T10:58:37.2635600Z 2022-12-01T10:58:37.2635782Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2636063Z ========== 2022-12-01T10:58:37.2636842Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2637456Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2637750Z ok (0.201s) 2022-12-01T10:58:37.2638562Z test_s_prep_before_q_prep (ao.sparsity.test_composability.TestComposability) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_s_prep_before_q_prep /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 98 2022-12-01T10:58:37.2639259Z due to: 2022-12-01T10:58:37.2639544Z Traceback (most recent call last): 2022-12-01T10:58:37.2639957Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2640658Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2641446Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2641739Z 2022-12-01T10:58:37.2641824Z from user code: 2022-12-01T10:58:37.2642220Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 103, in test_s_prep_before_q_prep 2022-12-01T10:58:37.2642706Z ) = _get_model_and_sparsifier_and_sparse_config(tq.get_default_qconfig("fbgemm")) 2022-12-01T10:58:37.2642956Z 2022-12-01T10:58:37.2643140Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2643427Z ========== 2022-12-01T10:58:37.2644231Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2644852Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2645163Z ok (0.199s) 2022-12-01T10:58:37.2645977Z test_s_prep_before_qat_prep (ao.sparsity.test_composability.TestComposability) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_s_prep_before_qat_prep /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 248 2022-12-01T10:58:37.2646627Z due to: 2022-12-01T10:58:37.2646882Z Traceback (most recent call last): 2022-12-01T10:58:37.2647380Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2648004Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2648658Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2648983Z 2022-12-01T10:58:37.2649092Z from user code: 2022-12-01T10:58:37.2649517Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 254, in test_s_prep_before_qat_prep 2022-12-01T10:58:37.2649982Z tq.get_default_qat_qconfig("fbgemm") 2022-12-01T10:58:37.2650186Z 2022-12-01T10:58:37.2650420Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2650738Z ========== 2022-12-01T10:58:37.2651562Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2652211Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2652524Z ok (0.018s) 2022-12-01T10:58:37.2653264Z test_constructor (ao.sparsity.test_scheduler.TestCubicScheduler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _make_scheduler /var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py line 105 2022-12-01T10:58:37.2653782Z due to: 2022-12-01T10:58:37.2654043Z Traceback (most recent call last): 2022-12-01T10:58:37.2654435Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2655077Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2655957Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.2656390Z 2022-12-01T10:58:37.2656489Z from user code: 2022-12-01T10:58:37.2656973Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py", line 106, in _make_scheduler 2022-12-01T10:58:37.2657382Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.2657599Z 2022-12-01T10:58:37.2657803Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2658144Z ========== 2022-12-01T10:58:37.2658370Z ok (0.022s) 2022-12-01T10:58:37.2659618Z test_step (ao.sparsity.test_scheduler.TestCubicScheduler) ... /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/scheduler/base_scheduler.py:127: UserWarning: Detected call of `scheduler.step()` before `sparsifier.step()`. You have to make sure you run the sparsifier.step() BEFORE any calls to the scheduer.step(). 2022-12-01T10:58:37.2660362Z "calls to the scheduer.step().", UserWarning) 2022-12-01T10:58:37.2660628Z ok (0.003s) 2022-12-01T10:58:37.2661458Z test_jit_trace (ao.sparsity.test_parametrization.TestFakeSparsity) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_parametrization.py line 145 2022-12-01T10:58:37.2662031Z due to: 2022-12-01T10:58:37.2662298Z Traceback (most recent call last): 2022-12-01T10:58:37.2662784Z File "/opt/conda/lib/python3.7/site-packages/torch/jit/_script.py", line 326, in __get__ 2022-12-01T10:58:37.2663298Z return self.__getattr__("forward") # type: ignore[attr-defined] 2022-12-01T10:58:37.2663788Z AttributeError: '_CachedForward' object has no attribute '__getattr__' 2022-12-01T10:58:37.2664026Z 2022-12-01T10:58:37.2664108Z from user code: 2022-12-01T10:58:37.2664536Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_parametrization.py", line 149, in 2022-12-01T10:58:37.2664951Z y_hat = model_trace(x) 2022-12-01T10:58:37.2665111Z 2022-12-01T10:58:37.2665321Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2665607Z ========== 2022-12-01T10:58:37.2665828Z ok (0.171s) 2022-12-01T10:58:37.2666219Z test_masking_logic (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.038s) 2022-12-01T10:58:37.2666799Z test_state_dict_preserved (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.495s) 2022-12-01T10:58:37.2667413Z test_weights_parametrized (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.105s) 2022-12-01T10:58:37.2668041Z test_q_prep_fx_before_s_prep (ao.sparsity.test_composability.TestFxComposability) 2022-12-01T10:58:37.2669118Z This test checks that the ordering of prepare_fx -> sparse prepare -> convert_fx ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 340 2022-12-01T10:58:37.2669657Z due to: 2022-12-01T10:58:37.2669914Z Traceback (most recent call last): 2022-12-01T10:58:37.2670320Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2670896Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2671526Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2671816Z 2022-12-01T10:58:37.2671919Z from user code: 2022-12-01T10:58:37.2672349Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 343, in 2022-12-01T10:58:37.2672775Z qconfig = tq.get_default_qconfig("fbgemm") 2022-12-01T10:58:37.2672959Z 2022-12-01T10:58:37.2673142Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2673510Z ========== 2022-12-01T10:58:37.2674002Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward .140 line 4 2022-12-01T10:58:37.2674383Z due to: 2022-12-01T10:58:37.2674666Z Traceback (most recent call last): 2022-12-01T10:58:37.2675168Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:58:37.2675688Z return self._op(*args, **kwargs or {}) 2022-12-01T10:58:37.2679371Z NotImplementedError: Could not run 'aten::quantize_per_tensor.tensor_qparams' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::quantize_per_tensor.tensor_qparams' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:58:37.2681780Z 2022-12-01T10:58:37.2682095Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:58:37.2682860Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:58:37.2683642Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:58:37.2684416Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:58:37.2685200Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:58:37.2685894Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:58:37.2686640Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2687448Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2688166Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:58:37.2688912Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:58:37.2689693Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2690433Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2691161Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2691884Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2692620Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2693375Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2694121Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2694867Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2695623Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2696364Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2697238Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2697982Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2698740Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2699578Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2700350Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2701137Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2701879Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:58:37.2702606Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:58:37.2703319Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:58:37.2704095Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:58:37.2704961Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:58:37.2705737Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:58:37.2706484Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:58:37.2707246Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:58:37.2708022Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:58:37.2708869Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:58:37.2709673Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:58:37.2710082Z 2022-12-01T10:58:37.2710090Z 2022-12-01T10:58:37.2710311Z During handling of the above exception, another exception occurred: 2022-12-01T10:58:37.2710593Z 2022-12-01T10:58:37.2710754Z Traceback (most recent call last): 2022-12-01T10:58:37.2711463Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:58:37.2712109Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:58:37.2712766Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:58:37.2713148Z 2022-12-01T10:58:37.2713397Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2713691Z 2022-12-01T10:58:37.2713852Z Traceback (most recent call last): 2022-12-01T10:58:37.2714352Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:58:37.2714754Z ) from e 2022-12-01T10:58:37.2715356Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:58:37.2715841Z 2022-12-01T10:58:37.2716088Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2716506Z 2022-12-01T10:58:37.2716653Z Traceback (most recent call last): 2022-12-01T10:58:37.2717152Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:58:37.2717625Z raise TorchRuntimeError() from e 2022-12-01T10:58:37.2718035Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:58:37.2718269Z 2022-12-01T10:58:37.2718393Z from user code: 2022-12-01T10:58:37.2718745Z File ".140", line 10, in forward 2022-12-01T10:58:37.2719376Z quantize_per_tensor = torch.quantize_per_tensor(_2, _5_input_scale_0, _5_input_zero_point_0, torch.quint8); _2 = _5_input_scale_0 = _5_input_zero_point_0 = None 2022-12-01T10:58:37.2719867Z 2022-12-01T10:58:37.2720089Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2720481Z ========== 2022-12-01T10:58:37.2721531Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2722313Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2723437Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2724207Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2724589Z ok (0.307s) 2022-12-01T10:58:37.2725089Z test_q_prep_fx_s_prep_ref_conv (ao.sparsity.test_composability.TestFxComposability) 2022-12-01T10:58:37.2726279Z This checks that the ordering: prepare_fx -> sparse prepare -> convert_to_reference_fx ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 399 2022-12-01T10:58:37.2727190Z due to: 2022-12-01T10:58:37.2727515Z Traceback (most recent call last): 2022-12-01T10:58:37.2727998Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2728776Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2729599Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2729953Z 2022-12-01T10:58:37.2730082Z from user code: 2022-12-01T10:58:37.2730590Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 402, in 2022-12-01T10:58:37.2731139Z qconfig = tq.get_default_qconfig("fbgemm") 2022-12-01T10:58:37.2731373Z 2022-12-01T10:58:37.2731603Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2731987Z ========== 2022-12-01T10:58:37.2732527Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward .149 line 4 2022-12-01T10:58:37.2732959Z due to: 2022-12-01T10:58:37.2733286Z Traceback (most recent call last): 2022-12-01T10:58:37.2733890Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:58:37.2734370Z return self._op(*args, **kwargs or {}) 2022-12-01T10:58:37.2737975Z NotImplementedError: Could not run 'aten::quantize_per_tensor.tensor_qparams' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::quantize_per_tensor.tensor_qparams' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:58:37.2740527Z 2022-12-01T10:58:37.2740831Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:58:37.2741588Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:58:37.2742481Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:58:37.2743274Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:58:37.2744081Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:58:37.2744826Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:58:37.2745612Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2746304Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2747002Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:58:37.2747812Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:58:37.2748612Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2749378Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2750093Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2750824Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2751565Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2752306Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2753020Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2753751Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2754494Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2755233Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2755930Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2756649Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2757420Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2758208Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2759075Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2759838Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2760577Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:58:37.2761274Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:58:37.2762055Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:58:37.2762853Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:58:37.2763728Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:58:37.2764519Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:58:37.2765250Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:58:37.2766053Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:58:37.2767184Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:58:37.2768050Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:58:37.2768814Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:58:37.2769225Z 2022-12-01T10:58:37.2769240Z 2022-12-01T10:58:37.2769482Z During handling of the above exception, another exception occurred: 2022-12-01T10:58:37.2769778Z 2022-12-01T10:58:37.2769940Z Traceback (most recent call last): 2022-12-01T10:58:37.2770666Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:58:37.2771284Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:58:37.2771927Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:58:37.2772308Z 2022-12-01T10:58:37.2772549Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2772839Z 2022-12-01T10:58:37.2772997Z Traceback (most recent call last): 2022-12-01T10:58:37.2773474Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:58:37.2773909Z ) from e 2022-12-01T10:58:37.2774526Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:58:37.2775003Z 2022-12-01T10:58:37.2775230Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2775508Z 2022-12-01T10:58:37.2775661Z Traceback (most recent call last): 2022-12-01T10:58:37.2776138Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:58:37.2776620Z raise TorchRuntimeError() from e 2022-12-01T10:58:37.2777013Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:58:37.2777267Z 2022-12-01T10:58:37.2777393Z from user code: 2022-12-01T10:58:37.2777748Z File ".149", line 10, in forward 2022-12-01T10:58:37.2778354Z quantize_per_tensor = torch.quantize_per_tensor(_2, _5_input_scale_0, _5_input_zero_point_0, torch.quint8); _2 = _5_input_scale_0 = _5_input_zero_point_0 = None 2022-12-01T10:58:37.2778760Z 2022-12-01T10:58:37.2778993Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2779511Z ========== 2022-12-01T10:58:37.2780577Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2781385Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2782626Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2783421Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2783811Z ok (0.382s) 2022-12-01T10:58:37.2784249Z test_s_prep_before_q_prep_fx (ao.sparsity.test_composability.TestFxComposability) 2022-12-01T10:58:37.2785491Z This test checks that the ordering of sparse prepare -> prepare_fx -> convert_fx ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 459 2022-12-01T10:58:37.2786220Z due to: 2022-12-01T10:58:37.2786527Z Traceback (most recent call last): 2022-12-01T10:58:37.2787020Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2787792Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2788633Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2788995Z 2022-12-01T10:58:37.2789124Z from user code: 2022-12-01T10:58:37.2789655Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 462, in 2022-12-01T10:58:37.2790208Z qconfig = tq.get_default_qconfig("fbgemm") 2022-12-01T10:58:37.2790453Z 2022-12-01T10:58:37.2790662Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2791033Z ========== 2022-12-01T10:58:37.2791593Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward .160 line 4 2022-12-01T10:58:37.2792016Z due to: 2022-12-01T10:58:37.2792318Z Traceback (most recent call last): 2022-12-01T10:58:37.2792918Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:58:37.2793384Z return self._op(*args, **kwargs or {}) 2022-12-01T10:58:37.2796913Z NotImplementedError: Could not run 'aten::quantize_per_tensor.tensor_qparams' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::quantize_per_tensor.tensor_qparams' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:58:37.2799290Z 2022-12-01T10:58:37.2799602Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:58:37.2800325Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:58:37.2801055Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:58:37.2801908Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:58:37.2802730Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:58:37.2803476Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:58:37.2804112Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2804879Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2805567Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:58:37.2806316Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:58:37.2807401Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2808117Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2808822Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2809564Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2810311Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2811020Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2811721Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2812445Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2813175Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2813899Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2814635Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2815367Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2816114Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2816887Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2817665Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2818452Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2819165Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:58:37.2819856Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:58:37.2820582Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:58:37.2821501Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:58:37.2822336Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:58:37.2823128Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:58:37.2823882Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:58:37.2824805Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:58:37.2825605Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:58:37.2826411Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:58:37.2827220Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:58:37.2827636Z 2022-12-01T10:58:37.2827643Z 2022-12-01T10:58:37.2827879Z During handling of the above exception, another exception occurred: 2022-12-01T10:58:37.2828177Z 2022-12-01T10:58:37.2828338Z Traceback (most recent call last): 2022-12-01T10:58:37.2829071Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:58:37.2845864Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:58:37.2846674Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:58:37.2847197Z 2022-12-01T10:58:37.2847445Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2847731Z 2022-12-01T10:58:37.2847879Z Traceback (most recent call last): 2022-12-01T10:58:37.2848355Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:58:37.2848788Z ) from e 2022-12-01T10:58:37.2849372Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:58:37.2849838Z 2022-12-01T10:58:37.2850057Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2850359Z 2022-12-01T10:58:37.2850526Z Traceback (most recent call last): 2022-12-01T10:58:37.2851028Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:58:37.2851507Z raise TorchRuntimeError() from e 2022-12-01T10:58:37.2851903Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:58:37.2852146Z 2022-12-01T10:58:37.2852266Z from user code: 2022-12-01T10:58:37.2852618Z File ".160", line 10, in forward 2022-12-01T10:58:37.2853225Z quantize_per_tensor = torch.quantize_per_tensor(_2, _5_input_scale_0, _5_input_zero_point_0, torch.quint8); _2 = _5_input_scale_0 = _5_input_zero_point_0 = None 2022-12-01T10:58:37.2853631Z 2022-12-01T10:58:37.2853860Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2854244Z ========== 2022-12-01T10:58:37.2855282Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2856103Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2857253Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2858044Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2858574Z ok (0.313s) 2022-12-01T10:58:37.2859033Z test_s_prep_before_qat_prep_fx (ao.sparsity.test_composability.TestFxComposability) 2022-12-01T10:58:37.2860318Z This test checks that the ordering of sparse prepare -> prepare_qat_fx -> convert_fx ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 504 2022-12-01T10:58:37.2861067Z due to: 2022-12-01T10:58:37.2861368Z Traceback (most recent call last): 2022-12-01T10:58:37.2861956Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2862739Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2863515Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2863883Z 2022-12-01T10:58:37.2864016Z from user code: 2022-12-01T10:58:37.2864563Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 507, in 2022-12-01T10:58:37.2865144Z qconfig = tq.get_default_qat_qconfig("fbgemm") 2022-12-01T10:58:37.2865381Z 2022-12-01T10:58:37.2865596Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2865988Z ========== 2022-12-01T10:58:37.2866577Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward .169 line 4 2022-12-01T10:58:37.2867016Z due to: 2022-12-01T10:58:37.2867324Z Traceback (most recent call last): 2022-12-01T10:58:37.2867948Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:58:37.2868421Z return self._op(*args, **kwargs or {}) 2022-12-01T10:58:37.2872035Z NotImplementedError: Could not run 'aten::quantize_per_tensor.tensor_qparams' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::quantize_per_tensor.tensor_qparams' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:58:37.2874411Z 2022-12-01T10:58:37.2874730Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:58:37.2875498Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:58:37.2876315Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:58:37.2877109Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:58:37.2877880Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:58:37.2878396Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:58:37.2878793Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2879174Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2879667Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:58:37.2880102Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:58:37.2880534Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2880958Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2881423Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2881837Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2882236Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2882652Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2883056Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2883544Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2884183Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2884597Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2885007Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2885426Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2885838Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2886275Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2886802Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2887375Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2887771Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:58:37.2888166Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:58:37.2888573Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:58:37.2889017Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:58:37.2889484Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:58:37.2889922Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:58:37.2890344Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:58:37.2890778Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:58:37.2891288Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:58:37.2891746Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:58:37.2892199Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:58:37.2892430Z 2022-12-01T10:58:37.2892435Z 2022-12-01T10:58:37.2892570Z During handling of the above exception, another exception occurred: 2022-12-01T10:58:37.2892775Z 2022-12-01T10:58:37.2892867Z Traceback (most recent call last): 2022-12-01T10:58:37.2893282Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:58:37.2893638Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:58:37.2894212Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:58:37.2894601Z 2022-12-01T10:58:37.2894830Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2895127Z 2022-12-01T10:58:37.2895288Z Traceback (most recent call last): 2022-12-01T10:58:37.2895778Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:58:37.2896208Z ) from e 2022-12-01T10:58:37.2896807Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:58:37.2897290Z 2022-12-01T10:58:37.2897541Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2897834Z 2022-12-01T10:58:37.2897996Z Traceback (most recent call last): 2022-12-01T10:58:37.2898473Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:58:37.2898958Z raise TorchRuntimeError() from e 2022-12-01T10:58:37.2899387Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:58:37.2899641Z 2022-12-01T10:58:37.2899769Z from user code: 2022-12-01T10:58:37.2900115Z File ".169", line 10, in forward 2022-12-01T10:58:37.2900726Z quantize_per_tensor = torch.quantize_per_tensor(_2, _5_input_scale_0, _5_input_zero_point_0, torch.quint8); _2 = _5_input_scale_0 = _5_input_zero_point_0 = None 2022-12-01T10:58:37.2901132Z 2022-12-01T10:58:37.2901368Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2901749Z ========== 2022-12-01T10:58:37.2902775Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2903594Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2904742Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2905540Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2905923Z ok (0.126s) 2022-12-01T10:58:37.2906400Z test_s_prep_q_prep_fx_ref (ao.sparsity.test_composability.TestFxComposability) 2022-12-01T10:58:37.2907663Z This checks that the ordering: sparse prepare -> prepare_fx -> convert_to_reference_fx ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py line 550 2022-12-01T10:58:37.2908379Z due to: 2022-12-01T10:58:37.2908720Z Traceback (most recent call last): 2022-12-01T10:58:37.2909200Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2909974Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2910892Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T10:58:37.2911260Z 2022-12-01T10:58:37.2911384Z from user code: 2022-12-01T10:58:37.2911918Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_composability.py", line 553, in 2022-12-01T10:58:37.2912483Z qconfig = tq.get_default_qconfig("fbgemm") 2022-12-01T10:58:37.2912722Z 2022-12-01T10:58:37.2912957Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2913408Z ========== 2022-12-01T10:58:37.2913958Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward .178 line 4 2022-12-01T10:58:37.2914392Z due to: 2022-12-01T10:58:37.2914718Z Traceback (most recent call last): 2022-12-01T10:58:37.2915348Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:58:37.2915816Z return self._op(*args, **kwargs or {}) 2022-12-01T10:58:37.2919426Z NotImplementedError: Could not run 'aten::quantize_per_tensor.tensor_qparams' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::quantize_per_tensor.tensor_qparams' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:58:37.2921826Z 2022-12-01T10:58:37.2922126Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:58:37.2922878Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:58:37.2923688Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:58:37.2924485Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:58:37.2925320Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:58:37.2926054Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:58:37.2926846Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2929389Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:58:37.2930124Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:58:37.2930891Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:58:37.2931707Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2932462Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2933200Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2934091Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2934851Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2935593Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2936342Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2937152Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2937873Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2938595Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2939323Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2940043Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2940786Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2941562Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2942338Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2943101Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_2.cpp:16899 [autograd kernel] 2022-12-01T10:58:37.2943826Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_2.cpp:16890 [kernel] 2022-12-01T10:58:37.2944505Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:58:37.2945213Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:58:37.2945937Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:58:37.2946800Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:58:37.2947597Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:58:37.2948336Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:58:37.2949128Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:58:37.2949926Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:58:37.2950752Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:58:37.2951572Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:58:37.2951982Z 2022-12-01T10:58:37.2951990Z 2022-12-01T10:58:37.2952215Z During handling of the above exception, another exception occurred: 2022-12-01T10:58:37.2952514Z 2022-12-01T10:58:37.2952673Z Traceback (most recent call last): 2022-12-01T10:58:37.2953479Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:58:37.2954104Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:58:37.2954728Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:58:37.2955115Z 2022-12-01T10:58:37.2955339Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2955630Z 2022-12-01T10:58:37.2955791Z Traceback (most recent call last): 2022-12-01T10:58:37.2956345Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:58:37.2956756Z ) from e 2022-12-01T10:58:37.2957365Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:58:37.2957807Z 2022-12-01T10:58:37.2958048Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.2958345Z 2022-12-01T10:58:37.2958492Z Traceback (most recent call last): 2022-12-01T10:58:37.2958956Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:58:37.2959426Z raise TorchRuntimeError() from e 2022-12-01T10:58:37.2959824Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:58:37.2960063Z 2022-12-01T10:58:37.2960189Z from user code: 2022-12-01T10:58:37.2960547Z File ".178", line 10, in forward 2022-12-01T10:58:37.2961181Z quantize_per_tensor = torch.quantize_per_tensor(_2, _5_input_scale_0, _5_input_zero_point_0, torch.quint8); _2 = _5_input_scale_0 = _5_input_zero_point_0 = None 2022-12-01T10:58:37.2961604Z 2022-12-01T10:58:37.2961831Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2962216Z ========== 2022-12-01T10:58:37.2963291Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2964137Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2965241Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.2966062Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.2966555Z ok (0.302s) 2022-12-01T10:58:37.2967800Z test_constructor (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 352 2022-12-01T10:58:37.2968573Z due to: 2022-12-01T10:58:37.2968903Z Traceback (most recent call last): 2022-12-01T10:58:37.2969404Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2970179Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2971351Z AssertionError: torch.* op returned non-Tensor NearlyDiagonalSparsifier call_function 2022-12-01T10:58:37.2971961Z 2022-12-01T10:58:37.2972088Z from user code: 2022-12-01T10:58:37.2972620Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 353, in 2022-12-01T10:58:37.2973223Z sparsifier = NearlyDiagonalSparsifier(nearliness=1) 2022-12-01T10:58:37.2973514Z 2022-12-01T10:58:37.2973750Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2974145Z ========== 2022-12-01T10:58:37.2974413Z ok (0.006s) 2022-12-01T10:58:37.2975520Z test_mask_squash (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 404 2022-12-01T10:58:37.2976441Z due to: 2022-12-01T10:58:37.2976775Z Traceback (most recent call last): 2022-12-01T10:58:37.2977269Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2978061Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2979308Z AssertionError: torch.* op returned non-Tensor NearlyDiagonalSparsifier call_function 2022-12-01T10:58:37.2979928Z 2022-12-01T10:58:37.2980052Z from user code: 2022-12-01T10:58:37.2980571Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 405, in 2022-12-01T10:58:37.2981176Z sparsifier = NearlyDiagonalSparsifier(nearliness=1) 2022-12-01T10:58:37.2981467Z 2022-12-01T10:58:37.2981703Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2982033Z ========== 2022-12-01T10:58:37.2982281Z ok (0.008s) 2022-12-01T10:58:37.2983307Z test_prepare (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 392 2022-12-01T10:58:37.2984042Z due to: 2022-12-01T10:58:37.2984350Z Traceback (most recent call last): 2022-12-01T10:58:37.2984822Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2985585Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2986684Z AssertionError: torch.* op returned non-Tensor NearlyDiagonalSparsifier call_function 2022-12-01T10:58:37.2987279Z 2022-12-01T10:58:37.2987404Z from user code: 2022-12-01T10:58:37.2987901Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 393, in 2022-12-01T10:58:37.2988470Z sparsifier = NearlyDiagonalSparsifier(nearliness=1) 2022-12-01T10:58:37.2988739Z 2022-12-01T10:58:37.2988965Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2989346Z ========== 2022-12-01T10:58:37.2989615Z ok (0.007s) 2022-12-01T10:58:37.2990706Z test_sparsity_levels (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 421 2022-12-01T10:58:37.2991480Z due to: 2022-12-01T10:58:37.2991800Z Traceback (most recent call last): 2022-12-01T10:58:37.2992289Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.2993062Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.2994200Z AssertionError: torch.* op returned non-Tensor NearlyDiagonalSparsifier call_function 2022-12-01T10:58:37.2994784Z 2022-12-01T10:58:37.2994910Z from user code: 2022-12-01T10:58:37.2995415Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 423, in 2022-12-01T10:58:37.2996009Z sparsifier = NearlyDiagonalSparsifier(nearliness=1) 2022-12-01T10:58:37.2996287Z 2022-12-01T10:58:37.2996518Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.2996887Z ========== 2022-12-01T10:58:37.2997144Z ok (0.538s) 2022-12-01T10:58:37.2998155Z test_step (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 361 2022-12-01T10:58:37.2998986Z due to: 2022-12-01T10:58:37.2999276Z Traceback (most recent call last): 2022-12-01T10:58:37.2999761Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3000533Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3001664Z AssertionError: torch.* op returned non-Tensor NearlyDiagonalSparsifier call_function 2022-12-01T10:58:37.3002252Z 2022-12-01T10:58:37.3002453Z from user code: 2022-12-01T10:58:37.3002952Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 362, in 2022-12-01T10:58:37.3003543Z sparsifier = NearlyDiagonalSparsifier(nearliness=1) 2022-12-01T10:58:37.3003825Z 2022-12-01T10:58:37.3004057Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3004442Z ========== 2022-12-01T10:58:37.3004708Z ok (0.155s) 2022-12-01T10:58:37.3005927Z test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3007467Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3008288Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3008822Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3009418Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3009946Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3010531Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3011052Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3011305Z ok (0.609s) 2022-12-01T10:58:37.3011883Z test_nn_parameters (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py line 66 2022-12-01T10:58:37.3012301Z due to: 2022-12-01T10:58:37.3012487Z Traceback (most recent call last): 2022-12-01T10:58:37.3012931Z File "/opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py", line 93, in add_data 2022-12-01T10:58:37.3013267Z "specified data type not supported at the moment" 2022-12-01T10:58:37.3013542Z AssertionError: specified data type not supported at the moment 2022-12-01T10:58:37.3013706Z 2022-12-01T10:58:37.3013777Z from user code: 2022-12-01T10:58:37.3014061Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py", line 69, in 2022-12-01T10:58:37.3014373Z sparsifier = sparsifier_type(**kwargs) 2022-12-01T10:58:37.3014507Z 2022-12-01T10:58:37.3014641Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3014861Z ========== 2022-12-01T10:58:37.3015280Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py line 238 2022-12-01T10:58:37.3015587Z due to: 2022-12-01T10:58:37.3015912Z Traceback (most recent call last): 2022-12-01T10:58:37.3016338Z File "/opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py", line 93, in add_data 2022-12-01T10:58:37.3016690Z "specified data type not supported at the moment" 2022-12-01T10:58:37.3016967Z AssertionError: specified data type not supported at the moment 2022-12-01T10:58:37.3017129Z 2022-12-01T10:58:37.3017199Z from user code: 2022-12-01T10:58:37.3017476Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py", line 239, in 2022-12-01T10:58:37.3017877Z self.check_sparsity_level(data_list, data_with_config, defaults, norm_type=norm_type) 2022-12-01T10:58:37.3018061Z 2022-12-01T10:58:37.3018194Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3018398Z ========== 2022-12-01T10:58:37.3018814Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT check_sparsity_level /var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py line 331 2022-12-01T10:58:37.3019114Z due to: 2022-12-01T10:58:37.3019296Z Traceback (most recent call last): 2022-12-01T10:58:37.3019720Z File "/opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py", line 93, in add_data 2022-12-01T10:58:37.3020062Z "specified data type not supported at the moment" 2022-12-01T10:58:37.3020334Z AssertionError: specified data type not supported at the moment 2022-12-01T10:58:37.3020494Z 2022-12-01T10:58:37.3020550Z from user code: 2022-12-01T10:58:37.3020837Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_data_sparsifier.py", line 335, in check_sparsity_level 2022-12-01T10:58:37.3021171Z sparsifier = DataNormSparsifier(data_list=data_list, norm=norm_type) 2022-12-01T10:58:37.3021343Z 2022-12-01T10:58:37.3021473Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3021677Z ========== 2022-12-01T10:58:37.3022183Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3022715Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3023305Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3023812Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3024399Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3024910Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3025624Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3026128Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3026376Z ok (0.489s) 2022-12-01T10:58:37.3027030Z test_tensors (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3027645Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3028225Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3028775Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3029354Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3029899Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3030501Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-12-01T10:58:37.3031012Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-12-01T10:58:37.3031256Z ok (0.405s) 2022-12-01T10:58:37.3031529Z test_ptq_quantize_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils) 2022-12-01T10:58:37.3031855Z The expectation is post_training_sparse_quantize function ... ok (0.026s) 2022-12-01T10:58:37.3032191Z test_ptq_sparsify_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils) 2022-12-01T10:58:37.3032520Z The expectation is post_training_sparse_quantize function ... ok (0.018s) 2022-12-01T10:58:37.3033050Z test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseKernels) ... 2022-12-01 10:58:36,092 - root - INFO - static sparse qlinear is only available in fbgemm 2022-12-01T10:58:37.3033530Z 2022-12-01 10:58:36,143 - root - INFO - static sparse qlinear is only available in fbgemm 2022-12-01T10:58:37.3033914Z 2022-12-01 10:58:36,152 - root - INFO - dynamic sparse qlinear is only available in qnnpack 2022-12-01T10:58:37.3034295Z 2022-12-01 10:58:36,152 - root - INFO - dynamic sparse qlinear is only available in qnnpack 2022-12-01T10:58:37.3034509Z ok (0.212s) 2022-12-01T10:58:37.3035091Z test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py line 262 2022-12-01T10:58:37.3035498Z due to: 2022-12-01T10:58:37.3035670Z Traceback (most recent call last): 2022-12-01T10:58:37.3035945Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3036375Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3036895Z AssertionError: torch.* op returned non-Tensor dict call_function 2022-12-01T10:58:37.3037137Z 2022-12-01T10:58:37.3037195Z from user code: 2022-12-01T10:58:37.3037481Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py", line 263, in 2022-12-01T10:58:37.3037820Z sparse_mapping = tq.get_default_dynamic_sparse_quant_module_mappings() 2022-12-01T10:58:37.3037991Z 2022-12-01T10:58:37.3038123Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3038330Z ========== 2022-12-01T10:58:37.3038668Z [W qlinear_dynamic.cpp:239] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic_impl) 2022-12-01T10:58:37.3039267Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py line 258 2022-12-01T10:58:37.3039559Z due to: 2022-12-01T10:58:37.3039742Z Traceback (most recent call last): 2022-12-01T10:58:37.3040020Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3040446Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3040948Z AssertionError: torch.* op returned non-Tensor dict call_function 2022-12-01T10:58:37.3041219Z 2022-12-01T10:58:37.3041292Z from user code: 2022-12-01T10:58:37.3041578Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py", line 259, in 2022-12-01T10:58:37.3041916Z sparse_mapping = tq.get_default_static_sparse_quant_module_mappings() 2022-12-01T10:58:37.3042071Z 2022-12-01T10:58:37.3042204Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3042423Z ========== 2022-12-01T10:58:37.3042804Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT forward /var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py line 243 2022-12-01T10:58:37.3043097Z due to: 2022-12-01T10:58:37.3043278Z Traceback (most recent call last): 2022-12-01T10:58:37.3043662Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 202, in from_real_tensor 2022-12-01T10:58:37.3044005Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-12-01T10:58:37.3044374Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-12-01T10:58:37.3044584Z 2022-12-01T10:58:37.3044720Z The above exception was the direct cause of the following exception: 2022-12-01T10:58:37.3044885Z 2022-12-01T10:58:37.3044977Z Traceback (most recent call last): 2022-12-01T10:58:37.3045241Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:58:37.3045482Z ) from e 2022-12-01T10:58:37.3045825Z torchdynamo.exc.FakeTensorError: Unsupported: quantized nyi in meta tensors with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:58:37.3046087Z 2022-12-01T10:58:37.3046215Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3046500Z ========== 2022-12-01T10:58:37.3046946Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:288: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-12-01T10:58:37.3047509Z "must run observer before calling calculate_qparams. " + 2022-12-01T10:58:37.3048108Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.3048556Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.3049072Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:280: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-12-01T10:58:37.3049451Z "must run observer before calling calculate_qparams. " + 2022-12-01T10:58:37.3050000Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1206: UserWarning: must run observer before calling calculate_qparams. Returning default scale and zero point 2022-12-01T10:58:37.3050384Z Returning default scale and zero point " 2022-12-01T10:58:37.3050580Z ok (0.139s) 2022-12-01T10:58:37.3051180Z test_sparse_qlinear_serdes (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py line 294 2022-12-01T10:58:37.3051585Z due to: 2022-12-01T10:58:37.3051769Z Traceback (most recent call last): 2022-12-01T10:58:37.3052045Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3052459Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3052970Z AssertionError: torch.* op returned non-Tensor dict call_function 2022-12-01T10:58:37.3053209Z 2022-12-01T10:58:37.3053281Z from user code: 2022-12-01T10:58:37.3053570Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py", line 295, in 2022-12-01T10:58:37.3053962Z sparse_mapping = tq.get_default_dynamic_sparse_quant_module_mappings() 2022-12-01T10:58:37.3054133Z 2022-12-01T10:58:37.3054266Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3054486Z ========== 2022-12-01T10:58:37.3054827Z [W qlinear_dynamic.cpp:239] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic_impl) 2022-12-01T10:58:37.3055454Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py line 290 2022-12-01T10:58:37.3055771Z due to: 2022-12-01T10:58:37.3055951Z Traceback (most recent call last): 2022-12-01T10:58:37.3056214Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3056641Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3057154Z AssertionError: torch.* op returned non-Tensor dict call_function 2022-12-01T10:58:37.3057389Z 2022-12-01T10:58:37.3057460Z from user code: 2022-12-01T10:58:37.3057736Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_kernels.py", line 291, in 2022-12-01T10:58:37.3058083Z sparse_mapping = tq.get_default_static_sparse_quant_module_mappings() 2022-12-01T10:58:37.3058253Z 2022-12-01T10:58:37.3058387Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3058603Z ========== 2022-12-01T10:58:37.3059030Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:288: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-12-01T10:58:37.3059400Z "must run observer before calling calculate_qparams. " + 2022-12-01T10:58:37.3060006Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-12-01T10:58:37.3060436Z reduce_range will be deprecated in a future release of PyTorch." 2022-12-01T10:58:37.3060940Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:280: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-12-01T10:58:37.3061313Z "must run observer before calling calculate_qparams. " + 2022-12-01T10:58:37.3061525Z ok (0.095s) 2022-12-01T10:58:37.3062065Z test_constructor (ao.sparsity.test_scheduler.TestScheduler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py line 24 2022-12-01T10:58:37.3062442Z due to: 2022-12-01T10:58:37.3062627Z Traceback (most recent call last): 2022-12-01T10:58:37.3062889Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3063317Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3063912Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3064223Z 2022-12-01T10:58:37.3064293Z from user code: 2022-12-01T10:58:37.3064676Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py", line 26, in 2022-12-01T10:58:37.3065333Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3065633Z 2022-12-01T10:58:37.3065920Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3066395Z ========== 2022-12-01T10:58:37.3066708Z ok (0.014s) 2022-12-01T10:58:37.3067944Z test_lambda_scheduler (ao.sparsity.test_scheduler.TestScheduler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py line 76 2022-12-01T10:58:37.3068848Z due to: 2022-12-01T10:58:37.3069226Z Traceback (most recent call last): 2022-12-01T10:58:37.3069830Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3070776Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3072143Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3072778Z 2022-12-01T10:58:37.3072931Z from user code: 2022-12-01T10:58:37.3073567Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py", line 78, in 2022-12-01T10:58:37.3074249Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3074557Z 2022-12-01T10:58:37.3074819Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3075288Z ========== 2022-12-01T10:58:37.3076609Z /opt/conda/lib/python3.7/site-packages/torch/ao/sparsity/scheduler/base_scheduler.py:127: UserWarning: Detected call of `scheduler.step()` before `sparsifier.step()`. You have to make sure you run the sparsifier.step() BEFORE any calls to the scheduer.step(). 2022-12-01T10:58:37.3077594Z "calls to the scheduer.step().", UserWarning) 2022-12-01T10:58:37.3078009Z ok (0.011s) 2022-12-01T10:58:37.3078520Z test_order_of_steps (ao.sparsity.test_scheduler.TestScheduler) 2022-12-01T10:58:37.3079862Z Checks if the warning is thrown if the scheduler step is called ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py line 39 2022-12-01T10:58:37.3080662Z due to: 2022-12-01T10:58:37.3081034Z Traceback (most recent call last): 2022-12-01T10:58:37.3081647Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3082583Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3083882Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3084544Z 2022-12-01T10:58:37.3084696Z from user code: 2022-12-01T10:58:37.3085319Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py", line 41, in 2022-12-01T10:58:37.3085978Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3086262Z 2022-12-01T10:58:37.3086614Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3087157Z ========== 2022-12-01T10:58:37.3087494Z ok (0.015s) 2022-12-01T10:58:37.3088652Z test_step (ao.sparsity.test_scheduler.TestScheduler) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py line 62 2022-12-01T10:58:37.3089450Z due to: 2022-12-01T10:58:37.3089841Z Traceback (most recent call last): 2022-12-01T10:58:37.3090424Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3091348Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3092646Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3093303Z 2022-12-01T10:58:37.3093460Z from user code: 2022-12-01T10:58:37.3094045Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_scheduler.py", line 64, in 2022-12-01T10:58:37.3094687Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3095099Z 2022-12-01T10:58:37.3095381Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3095847Z ========== 2022-12-01T10:58:37.3096156Z ok (0.010s) 2022-12-01T10:58:37.3096721Z test_fqn_to_module (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3097393Z Tests that fqn_to_module operates as inverse ... ok (0.014s) 2022-12-01T10:58:37.3098054Z test_fqn_to_module_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3098754Z Tests that fqn_to_module returns None when it tries to ... ok (0.004s) 2022-12-01T10:58:37.3099535Z test_fqn_to_module_for_tensors (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3100267Z Tests that fqn_to_module works for tensors, actually all parameters ... ok (0.019s) 2022-12-01T10:58:37.3101042Z test_get_arg_info_from_tensor_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3101815Z Tests that get_arg_info_from_tensor_fqn works for all parameters of the model. ... ok (0.023s) 2022-12-01T10:58:37.3102626Z test_get_arg_info_from_tensor_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3103401Z Tests that get_arg_info_from_tensor_fqn works as expected for invalid tensor_fqn ... ok (0.006s) 2022-12-01T10:58:37.3104155Z test_module_to_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3104885Z Tests that module_to_fqn works as expected when compared to known good ... ok (0.013s) 2022-12-01T10:58:37.3105628Z test_module_to_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3106469Z Tests that module_to_fqn returns None when an fqn that doesn't ... ok (0.004s) 2022-12-01T10:58:37.3107184Z test_module_to_fqn_root (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-12-01T10:58:37.3108090Z Tests that module_to_fqn returns '' when model and target module are the same ... ok (0.004s) 2022-12-01T10:58:37.3109528Z test_constructor (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 220 2022-12-01T10:58:37.3110414Z due to: 2022-12-01T10:58:37.3110804Z Traceback (most recent call last): 2022-12-01T10:58:37.3111400Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3112313Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3113600Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3114262Z 2022-12-01T10:58:37.3114414Z from user code: 2022-12-01T10:58:37.3115019Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 221, in 2022-12-01T10:58:37.3115681Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3115980Z 2022-12-01T10:58:37.3116261Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3116731Z ========== 2022-12-01T10:58:37.3117054Z ok (0.006s) 2022-12-01T10:58:37.3118336Z test_mask_squash (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 286 2022-12-01T10:58:37.3119200Z due to: 2022-12-01T10:58:37.3119576Z Traceback (most recent call last): 2022-12-01T10:58:37.3120175Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3121106Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3122414Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3123127Z 2022-12-01T10:58:37.3123259Z from user code: 2022-12-01T10:58:37.3123870Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 287, in 2022-12-01T10:58:37.3124524Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3124823Z 2022-12-01T10:58:37.3125112Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3125568Z ========== 2022-12-01T10:58:37.3125900Z ok (0.006s) 2022-12-01T10:58:37.3127423Z test_prepare (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 274 2022-12-01T10:58:37.3128288Z due to: 2022-12-01T10:58:37.3128688Z Traceback (most recent call last): 2022-12-01T10:58:37.3129297Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3130242Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3131536Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3132199Z 2022-12-01T10:58:37.3132355Z from user code: 2022-12-01T10:58:37.3132968Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 275, in 2022-12-01T10:58:37.3133603Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3133896Z 2022-12-01T10:58:37.3134187Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3134660Z ========== 2022-12-01T10:58:37.3134974Z ok (0.007s) 2022-12-01T10:58:37.3136277Z test_sparsity_levels (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 304 2022-12-01T10:58:37.3137176Z due to: 2022-12-01T10:58:37.3137569Z Traceback (most recent call last): 2022-12-01T10:58:37.3138154Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3139088Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3140381Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3141053Z 2022-12-01T10:58:37.3141201Z from user code: 2022-12-01T10:58:37.3141813Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 305, in 2022-12-01T10:58:37.3142485Z sparsifier = WeightNormSparsifier() 2022-12-01T10:58:37.3142793Z 2022-12-01T10:58:37.3143083Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3143535Z ========== 2022-12-01T10:58:37.3143871Z ok (0.064s) 2022-12-01T10:58:37.3145091Z test_step (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 229 2022-12-01T10:58:37.3145925Z due to: 2022-12-01T10:58:37.3146296Z Traceback (most recent call last): 2022-12-01T10:58:37.3146893Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3147828Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3149106Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3149777Z 2022-12-01T10:58:37.3149929Z from user code: 2022-12-01T10:58:37.3150533Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 230, in 2022-12-01T10:58:37.3151327Z sparsifier = WeightNormSparsifier(sparsity_level=0.5) 2022-12-01T10:58:37.3151649Z 2022-12-01T10:58:37.3151935Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3152409Z ========== 2022-12-01T10:58:37.3152753Z ok (0.185s) 2022-12-01T10:58:37.3154022Z test_step_2_of_4 (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py line 254 2022-12-01T10:58:37.3154891Z due to: 2022-12-01T10:58:37.3155325Z Traceback (most recent call last): 2022-12-01T10:58:37.3155922Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:58:37.3156830Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:58:37.3158127Z AssertionError: torch.* op returned non-Tensor WeightNormSparsifier call_function 2022-12-01T10:58:37.3158795Z 2022-12-01T10:58:37.3158943Z from user code: 2022-12-01T10:58:37.3159550Z File "/var/lib/jenkins/workspace/test/ao/sparsity/test_sparsifier.py", line 257, in 2022-12-01T10:58:37.3160153Z zeros_per_block=2) 2022-12-01T10:58:37.3160387Z 2022-12-01T10:58:37.3160675Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:58:37.3161138Z ========== 2022-12-01T10:58:37.3161455Z ok (0.029s) 2022-12-01T10:58:37.3161668Z 2022-12-01T10:58:37.3162107Z ---------------------------------------------------------------------- 2022-12-01T10:58:37.3162624Z Ran 72 tests in 15.822s 2022-12-01T10:58:37.3162869Z 2022-12-01T10:58:37.3163004Z OK (skipped=2) 2022-12-01T10:58:37.3163230Z 2022-12-01T10:58:37.3163410Z Generating XML reports... 2022-12-01T10:58:37.3164488Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_scheduler.TestBaseDataScheduler-20221201105820.xml 2022-12-01T10:58:37.3165953Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier-20221201105820.xml 2022-12-01T10:58:37.3167477Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_pruner.TestBasePruner-20221201105820.xml 2022-12-01T10:58:37.3168829Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestBaseSparsifier-20221201105820.xml 2022-12-01T10:58:37.3170243Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestComposability-20221201105820.xml 2022-12-01T10:58:37.3171632Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestCubicScheduler-20221201105820.xml 2022-12-01T10:58:37.3173012Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_parametrization.TestFakeSparsity-20221201105820.xml 2022-12-01T10:58:37.3174465Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestFxComposability-20221201105820.xml 2022-12-01T10:58:37.3175972Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier-20221201105820.xml 2022-12-01T10:58:37.3177499Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers-20221201105820.xml 2022-12-01T10:58:37.3178967Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestQuantizationUtils-20221201105820.xml 2022-12-01T10:58:37.3180415Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseKernels-20221201105820.xml 2022-12-01T10:58:37.3181860Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseLayers-20221201105820.xml 2022-12-01T10:58:37.3183331Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestScheduler-20221201105820.xml 2022-12-01T10:58:37.3184719Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions-20221201105820.xml 2022-12-01T10:58:37.3186183Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestWeightNormSparsifier-20221201105820.xml 2022-12-01T10:58:37.3187779Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_activation_sparsifier.TestActivationSparsifier-20221201105820.xml 2022-12-01T10:58:37.3188457Z 2022-12-01T10:58:37.3189057Z ##[endgroup] 2022-12-01T10:58:37.3189879Z FINISHED PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_i19w2ow7) 2022-12-01T10:58:37.3190351Z 2022-12-01T10:58:37.3190701Z Running test_tensorboard ... [2022-12-01 10:58:37.259018] 2022-12-01T10:58:37.3191716Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorboard.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:58:37.259334] 2022-12-01T10:59:01.2710489Z 2022-12-01T10:59:01.2711321Z Expand the folded group to see the log file of test_tensorboard 2022-12-01T10:59:01.2713968Z ##[group]PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_ajv9sh5p) 2022-12-01T10:59:01.2714591Z Test results will be stored in test-reports/python-unittest/test_tensorboard 2022-12-01T10:59:01.2715229Z /opt/conda/lib/python3.7/site-packages/caffe2/__init__.py:5: UserWarning: Caffe2 support is not fully enabled in this PyTorch build. Please enable Caffe2 by building PyTorch from source with `BUILD_CAFFE2=1` flag. 2022-12-01T10:59:01.2715679Z warnings.warn("Caffe2 support is not fully enabled in this PyTorch build. " 2022-12-01T10:59:01.2717818Z /opt/conda/lib/python3.7/site-packages/caffe2/proto/__init__.py:17: UserWarning: Caffe2 support is not enabled in this PyTorch build. Please enable Caffe2 by building PyTorch from source with `BUILD_CAFFE2=1` flag. 2022-12-01T10:59:01.2718509Z warnings.warn('Caffe2 support is not enabled in this PyTorch build. ' 2022-12-01T10:59:01.2719740Z /opt/conda/lib/python3.7/site-packages/caffe2/python/__init__.py:9: UserWarning: Caffe2 support is not enabled in this PyTorch build. Please enable Caffe2 by building PyTorch from source with `BUILD_CAFFE2=1` flag. 2022-12-01T10:59:01.2720616Z warnings.warn('Caffe2 support is not enabled in this PyTorch build. ' 2022-12-01T10:59:01.2720804Z 2022-12-01T10:59:01.2720880Z Running tests... 2022-12-01T10:59:01.2721177Z ---------------------------------------------------------------------- 2022-12-01T10:59:01.2721833Z test_embedding (__main__.TestTensorBoardEmbedding) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorboard.py line 62 2022-12-01T10:59:01.2722228Z due to: 2022-12-01T10:59:01.2722406Z Traceback (most recent call last): 2022-12-01T10:59:01.2722692Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2723178Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2723757Z AssertionError: torch.* op returned non-Tensor SummaryWriter call_function 2022-12-01T10:59:01.2724022Z 2022-12-01T10:59:01.2724081Z from user code: 2022-12-01T10:59:01.2724337Z File "test_tensorboard.py", line 64, in 2022-12-01T10:59:01.2724653Z return SummaryWriter(temp_dir) 2022-12-01T10:59:01.2724783Z 2022-12-01T10:59:01.2724917Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2725145Z ========== 2022-12-01T10:59:01.2725411Z warning: Embedding dir exists, did you set global_step for add_embedding()? 2022-12-01T10:59:01.2725818Z ok (0.231s) 2022-12-01T10:59:01.2726164Z test_embedding_64 (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()? 2022-12-01T10:59:01.2726524Z ok (0.036s) 2022-12-01T10:59:01.2726816Z test_figure (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s) 2022-12-01T10:59:01.2727315Z test_figure_list (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s) 2022-12-01T10:59:01.2727640Z test_caffe2_np (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s) 2022-12-01T10:59:01.2728095Z test_caffe2_np_expect_fail (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s) 2022-12-01T10:59:01.2728439Z test_caffe2_simple_cnnmodel (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s) 2022-12-01T10:59:01.2728806Z test_caffe2_simple_model (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.002s) 2022-12-01T10:59:01.2729130Z test_pytorch_np_expect_fail (__main__.TestTensorBoardNumpy) ... ok (0.004s) 2022-12-01T10:59:01.2729698Z test_scalar (__main__.TestTensorBoardNumpy) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_scalar test_tensorboard.py line 767 2022-12-01T10:59:01.2729986Z due to: 2022-12-01T10:59:01.2730222Z Traceback (most recent call last): 2022-12-01T10:59:01.2730508Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2730992Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2731444Z AssertionError: torch.* op returned non-Tensor ndarray call_function 2022-12-01T10:59:01.2731681Z 2022-12-01T10:59:01.2731766Z from user code: 2022-12-01T10:59:01.2731987Z File "test_tensorboard.py", line 768, in test_scalar 2022-12-01T10:59:01.2732190Z res = make_np(1.1) 2022-12-01T10:59:01.2732302Z 2022-12-01T10:59:01.2732484Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2732713Z ========== 2022-12-01T10:59:01.2732860Z ok (0.002s) 2022-12-01T10:59:01.2733394Z test_pytorch_autograd_np (__main__.TestTensorBoardPyTorchNumpy) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pytorch_autograd_np test_tensorboard.py line 107 2022-12-01T10:59:01.2733741Z due to: 2022-12-01T10:59:01.2733960Z Traceback (most recent call last): 2022-12-01T10:59:01.2734366Z File "/opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/_convert_np.py", line 32, in _prepare_pytorch 2022-12-01T10:59:01.2734670Z x = x.detach().cpu().numpy() 2022-12-01T10:59:01.2734954Z RuntimeError: .numpy() is not supported for tensor subclasses. 2022-12-01T10:59:01.2735116Z 2022-12-01T10:59:01.2735239Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:01.2735415Z 2022-12-01T10:59:01.2735546Z Traceback (most recent call last): 2022-12-01T10:59:01.2735828Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:01.2736112Z raise TorchRuntimeError() from e 2022-12-01T10:59:01.2736386Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:01.2736532Z 2022-12-01T10:59:01.2736605Z from user code: 2022-12-01T10:59:01.2736841Z File "test_tensorboard.py", line 109, in test_pytorch_autograd_np 2022-12-01T10:59:01.2737152Z self.assertIsInstance(make_np(x), np.ndarray) 2022-12-01T10:59:01.2737300Z 2022-12-01T10:59:01.2737434Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2737654Z ========== 2022-12-01T10:59:01.2737852Z ok (0.005s) 2022-12-01T10:59:01.2738111Z test_pytorch_histogram (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.009s) 2022-12-01T10:59:01.2738472Z test_pytorch_histogram_raw (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.019s) 2022-12-01T10:59:01.2739038Z test_pytorch_np (__main__.TestTensorBoardPyTorchNumpy) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_pytorch_np test_tensorboard.py line 86 2022-12-01T10:59:01.2739466Z due to: 2022-12-01T10:59:01.2739656Z Traceback (most recent call last): 2022-12-01T10:59:01.2740113Z File "/opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/_convert_np.py", line 32, in _prepare_pytorch 2022-12-01T10:59:01.2740395Z x = x.detach().cpu().numpy() 2022-12-01T10:59:01.2740641Z RuntimeError: .numpy() is not supported for tensor subclasses. 2022-12-01T10:59:01.2740852Z 2022-12-01T10:59:01.2740990Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:01.2741159Z 2022-12-01T10:59:01.2741238Z Traceback (most recent call last): 2022-12-01T10:59:01.2741606Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:01.2741889Z raise TorchRuntimeError() from e 2022-12-01T10:59:01.2742127Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:01.2742290Z 2022-12-01T10:59:01.2742377Z from user code: 2022-12-01T10:59:01.2742604Z File "test_tensorboard.py", line 90, in test_pytorch_np 2022-12-01T10:59:01.2742879Z self.assertIsInstance(make_np(tensor), np.ndarray) 2022-12-01T10:59:01.2743071Z 2022-12-01T10:59:01.2743199Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2743423Z ========== 2022-12-01T10:59:01.2743585Z ok (0.007s) 2022-12-01T10:59:01.2743868Z test_pytorch_write (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.006s) 2022-12-01T10:59:01.2744194Z test_mlp_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.081s) 2022-12-01T10:59:01.2744536Z test_nested_nn_squential (__main__.TestTensorBoardPytorchGraph) ... ok (0.096s) 2022-12-01T10:59:01.2744893Z test_pytorch_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.027s) 2022-12-01T10:59:01.2745963Z test_pytorch_graph_dict_input (__main__.TestTensorBoardPytorchGraph) ... Encountering a dict at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior. 2022-12-01T10:59:01.2746678Z Error occurs, No graph saved 2022-12-01T10:59:01.2746850Z ok (0.036s) 2022-12-01T10:59:01.2747385Z test_torchvision_smoke (__main__.TestTensorBoardPytorchGraph) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT __init__ /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py line 144 2022-12-01T10:59:01.2747810Z due to: 2022-12-01T10:59:01.2747983Z Traceback (most recent call last): 2022-12-01T10:59:01.2748285Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2748602Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2748820Z AssertionError: type 2022-12-01T10:59:01.2748940Z 2022-12-01T10:59:01.2749012Z from user code: 2022-12-01T10:59:01.2749376Z File "/var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/misc.py", line 171, in __init__ 2022-12-01T10:59:01.2749656Z torch.nn.Conv2d, 2022-12-01T10:59:01.2749788Z 2022-12-01T10:59:01.2749938Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2750164Z ========== 2022-12-01T10:59:01.2750327Z ok (19.455s) 2022-12-01T10:59:01.2750614Z test_wrong_input_size (__main__.TestTensorBoardPytorchGraph) ... mat1 and mat2 shapes cannot be multiplied (1x9 and 3x5) 2022-12-01T10:59:01.2750917Z Error occurs, No graph saved 2022-12-01T10:59:01.2751102Z ok (0.015s) 2022-12-01T10:59:01.2751512Z test_audio (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_audio test_tensorboard.py line 404 2022-12-01T10:59:01.2751812Z due to: 2022-12-01T10:59:01.2751999Z Traceback (most recent call last): 2022-12-01T10:59:01.2752283Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2752603Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2752882Z AssertionError: type 2022-12-01T10:59:01.2753001Z 2022-12-01T10:59:01.2753074Z from user code: 2022-12-01T10:59:01.2753279Z File "test_tensorboard.py", line 405, in test_audio 2022-12-01T10:59:01.2753699Z self.assertTrue(compare_proto(summary.audio('dummy', tensor_N(shape=(42,))), self)) 2022-12-01T10:59:01.2753882Z 2022-12-01T10:59:01.2754016Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2754224Z ========== 2022-12-01T10:59:01.2754434Z warning: audio amplitude out of range, auto clipped. 2022-12-01T10:59:01.2754646Z ok (0.021s) 2022-12-01T10:59:01.2755117Z test_custom_scalars (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_custom_scalars test_tensorboard.py line 419 2022-12-01T10:59:01.2755439Z due to: 2022-12-01T10:59:01.2755625Z Traceback (most recent call last): 2022-12-01T10:59:01.2755908Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2756331Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2756800Z AssertionError: torch.* op returned non-Tensor Summary call_function 2022-12-01T10:59:01.2757009Z 2022-12-01T10:59:01.2757081Z from user code: 2022-12-01T10:59:01.2757293Z File "test_tensorboard.py", line 429, in test_custom_scalars 2022-12-01T10:59:01.2757634Z summary.custom_scalars(layout) # only smoke test. Because protobuf in python2/3 serialize dictionary differently. 2022-12-01T10:59:01.2757844Z 2022-12-01T10:59:01.2757979Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2758198Z ========== 2022-12-01T10:59:01.2758350Z ok (0.003s) 2022-12-01T10:59:01.2758585Z test_empty_input (__main__.TestTensorBoardSummary) ... ok (0.004s) 2022-12-01T10:59:01.2758870Z test_float32_image (__main__.TestTensorBoardSummary) 2022-12-01T10:59:01.2759154Z Tests that float32 image (pixel values in [0, 1]) are scaled correctly ... ok (0.012s) 2022-12-01T10:59:01.2759673Z test_histogram_auto (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_histogram_auto test_tensorboard.py line 410 2022-12-01T10:59:01.2759991Z due to: 2022-12-01T10:59:01.2760179Z Traceback (most recent call last): 2022-12-01T10:59:01.2760474Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2760813Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2761045Z AssertionError: type 2022-12-01T10:59:01.2761151Z 2022-12-01T10:59:01.2761223Z from user code: 2022-12-01T10:59:01.2761450Z File "test_tensorboard.py", line 411, in test_histogram_auto 2022-12-01T10:59:01.2761876Z self.assertTrue(compare_proto(summary.histogram('dummy', tensor_N(shape=(1024,)), bins='auto', max_bins=5), self)) 2022-12-01T10:59:01.2762086Z 2022-12-01T10:59:01.2762209Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2762430Z ========== 2022-12-01T10:59:01.2762591Z ok (0.004s) 2022-12-01T10:59:01.2763049Z test_histogram_doane (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_histogram_doane test_tensorboard.py line 416 2022-12-01T10:59:01.2763357Z due to: 2022-12-01T10:59:01.2763541Z Traceback (most recent call last): 2022-12-01T10:59:01.2763839Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2764141Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2764369Z AssertionError: type 2022-12-01T10:59:01.2764485Z 2022-12-01T10:59:01.2764557Z from user code: 2022-12-01T10:59:01.2764774Z File "test_tensorboard.py", line 417, in test_histogram_doane 2022-12-01T10:59:01.2765204Z self.assertTrue(compare_proto(summary.histogram('dummy', tensor_N(shape=(1024,)), bins='doane', max_bins=5), self)) 2022-12-01T10:59:01.2765459Z 2022-12-01T10:59:01.2765594Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2765812Z ========== 2022-12-01T10:59:01.2765957Z ok (0.003s) 2022-12-01T10:59:01.2766470Z test_histogram_fd (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_histogram_fd test_tensorboard.py line 413 2022-12-01T10:59:01.2766791Z due to: 2022-12-01T10:59:01.2767061Z Traceback (most recent call last): 2022-12-01T10:59:01.2767376Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2767756Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2767974Z AssertionError: type 2022-12-01T10:59:01.2768092Z 2022-12-01T10:59:01.2768163Z from user code: 2022-12-01T10:59:01.2768387Z File "test_tensorboard.py", line 414, in test_histogram_fd 2022-12-01T10:59:01.2768808Z self.assertTrue(compare_proto(summary.histogram('dummy', tensor_N(shape=(1024,)), bins='fd', max_bins=5), self)) 2022-12-01T10:59:01.2768999Z 2022-12-01T10:59:01.2769132Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2769354Z ========== 2022-12-01T10:59:01.2769515Z ok (0.004s) 2022-12-01T10:59:01.2769944Z test_hparams_bool (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_hparams_bool test_tensorboard.py line 460 2022-12-01T10:59:01.2770257Z due to: 2022-12-01T10:59:01.2770445Z Traceback (most recent call last): 2022-12-01T10:59:01.2770716Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2771149Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2771591Z AssertionError: torch.* op returned non-Tensor Summary call_function 2022-12-01T10:59:01.2771786Z 2022-12-01T10:59:01.2771857Z from user code: 2022-12-01T10:59:01.2772072Z File "test_tensorboard.py", line 463, in test_hparams_bool 2022-12-01T10:59:01.2772359Z self.assertTrue(compare_proto(summary.hparams(hp, mt), self)) 2022-12-01T10:59:01.2772522Z 2022-12-01T10:59:01.2772659Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2772865Z ========== 2022-12-01T10:59:01.2773028Z ok (0.011s) 2022-12-01T10:59:01.2773277Z test_hparams_domain_discrete (__main__.TestTensorBoardSummary) ... ok (0.009s) 2022-12-01T10:59:01.2773802Z test_hparams_number (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_hparams_number test_tensorboard.py line 455 2022-12-01T10:59:01.2774164Z due to: 2022-12-01T10:59:01.2774355Z Traceback (most recent call last): 2022-12-01T10:59:01.2774640Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2775063Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2775504Z AssertionError: torch.* op returned non-Tensor Summary call_function 2022-12-01T10:59:01.2775700Z 2022-12-01T10:59:01.2775772Z from user code: 2022-12-01T10:59:01.2776002Z File "test_tensorboard.py", line 458, in test_hparams_number 2022-12-01T10:59:01.2776280Z self.assertTrue(compare_proto(summary.hparams(hp, mt), self)) 2022-12-01T10:59:01.2776443Z 2022-12-01T10:59:01.2776576Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2776796Z ========== 2022-12-01T10:59:01.2776993Z ok (0.002s) 2022-12-01T10:59:01.2777442Z test_hparams_smoke (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_hparams_smoke test_tensorboard.py line 431 2022-12-01T10:59:01.2777762Z due to: 2022-12-01T10:59:01.2777934Z Traceback (most recent call last): 2022-12-01T10:59:01.2778221Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2778645Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2779147Z AssertionError: torch.* op returned non-Tensor Summary call_function 2022-12-01T10:59:01.2779326Z 2022-12-01T10:59:01.2779401Z from user code: 2022-12-01T10:59:01.2779628Z File "test_tensorboard.py", line 434, in test_hparams_smoke 2022-12-01T10:59:01.2779965Z summary.hparams(hp, mt) # only smoke test. Because protobuf in python2/3 serialize dictionary differently. 2022-12-01T10:59:01.2780171Z 2022-12-01T10:59:01.2780290Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2780513Z ========== 2022-12-01T10:59:01.2780715Z ok (0.002s) 2022-12-01T10:59:01.2781165Z test_hparams_string (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_hparams_string test_tensorboard.py line 465 2022-12-01T10:59:01.2781469Z due to: 2022-12-01T10:59:01.2781658Z Traceback (most recent call last): 2022-12-01T10:59:01.2781939Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2782355Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2782794Z AssertionError: torch.* op returned non-Tensor Summary call_function 2022-12-01T10:59:01.2782989Z 2022-12-01T10:59:01.2783062Z from user code: 2022-12-01T10:59:01.2783279Z File "test_tensorboard.py", line 468, in test_hparams_string 2022-12-01T10:59:01.2783565Z self.assertTrue(compare_proto(summary.hparams(hp, mt), self)) 2022-12-01T10:59:01.2783731Z 2022-12-01T10:59:01.2783866Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2784088Z ========== 2022-12-01T10:59:01.2784236Z ok (0.003s) 2022-12-01T10:59:01.2784544Z test_hparams_wrong_parameter (__main__.TestTensorBoardSummary) ... parameter: hparam_dict should be a dictionary, nothing logged. 2022-12-01T10:59:01.2784903Z parameter: metric_dict should be a dictionary, nothing logged. 2022-12-01T10:59:01.2785113Z ok (0.010s) 2022-12-01T10:59:01.2785602Z test_image_with_3_channel_batched (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_image_with_3_channel_batched test_tensorboard.py line 381 2022-12-01T10:59:01.2785944Z due to: 2022-12-01T10:59:01.2786134Z Traceback (most recent call last): 2022-12-01T10:59:01.2786420Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2786733Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2786969Z AssertionError: type 2022-12-01T10:59:01.2787074Z 2022-12-01T10:59:01.2787149Z from user code: 2022-12-01T10:59:01.2787389Z File "test_tensorboard.py", line 384, in test_image_with_3_channel_batched 2022-12-01T10:59:01.2787637Z tensor_N(shape=(2, 3, 8, 8)), 2022-12-01T10:59:01.2787755Z 2022-12-01T10:59:01.2787875Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2788099Z ========== 2022-12-01T10:59:01.2788264Z ok (0.007s) 2022-12-01T10:59:01.2788700Z test_image_with_boxes (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_image_with_boxes test_tensorboard.py line 361 2022-12-01T10:59:01.2789020Z due to: 2022-12-01T10:59:01.2789207Z Traceback (most recent call last): 2022-12-01T10:59:01.2789506Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2789805Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2790034Z AssertionError: type 2022-12-01T10:59:01.2790154Z 2022-12-01T10:59:01.2790229Z from user code: 2022-12-01T10:59:01.2790444Z File "test_tensorboard.py", line 363, in test_image_with_boxes 2022-12-01T10:59:01.2790684Z tensor_N(shape=(3, 32, 32)), 2022-12-01T10:59:01.2790805Z 2022-12-01T10:59:01.2790939Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2791147Z ========== 2022-12-01T10:59:01.2791346Z ok (0.004s) 2022-12-01T10:59:01.2791819Z test_image_with_one_channel (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_image_with_one_channel test_tensorboard.py line 367 2022-12-01T10:59:01.2792150Z due to: 2022-12-01T10:59:01.2792320Z Traceback (most recent call last): 2022-12-01T10:59:01.2792617Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2792937Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2793151Z AssertionError: type 2022-12-01T10:59:01.2793269Z 2022-12-01T10:59:01.2793342Z from user code: 2022-12-01T10:59:01.2793629Z File "test_tensorboard.py", line 370, in test_image_with_one_channel 2022-12-01T10:59:01.2793857Z tensor_N(shape=(1, 8, 8)), 2022-12-01T10:59:01.2793975Z 2022-12-01T10:59:01.2794108Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2794328Z ========== 2022-12-01T10:59:01.2794494Z ok (0.003s) 2022-12-01T10:59:01.2794977Z test_image_with_one_channel_batched (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_image_with_one_channel_batched test_tensorboard.py line 374 2022-12-01T10:59:01.2795320Z due to: 2022-12-01T10:59:01.2795504Z Traceback (most recent call last): 2022-12-01T10:59:01.2795786Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2796100Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2796331Z AssertionError: type 2022-12-01T10:59:01.2796448Z 2022-12-01T10:59:01.2796506Z from user code: 2022-12-01T10:59:01.2796750Z File "test_tensorboard.py", line 377, in test_image_with_one_channel_batched 2022-12-01T10:59:01.2797001Z tensor_N(shape=(2, 1, 8, 8)), 2022-12-01T10:59:01.2797119Z 2022-12-01T10:59:01.2797250Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2797457Z ========== 2022-12-01T10:59:01.2797618Z ok (0.003s) 2022-12-01T10:59:01.2798088Z test_image_without_channel (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_image_without_channel test_tensorboard.py line 388 2022-12-01T10:59:01.2798407Z due to: 2022-12-01T10:59:01.2798592Z Traceback (most recent call last): 2022-12-01T10:59:01.2798882Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:01.2799181Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:01.2799467Z AssertionError: type 2022-12-01T10:59:01.2799585Z 2022-12-01T10:59:01.2799657Z from user code: 2022-12-01T10:59:01.2799893Z File "test_tensorboard.py", line 391, in test_image_without_channel 2022-12-01T10:59:01.2800178Z tensor_N(shape=(8, 8)), 2022-12-01T10:59:01.2800297Z 2022-12-01T10:59:01.2800431Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2800655Z ========== 2022-12-01T10:59:01.2800816Z ok (0.003s) 2022-12-01T10:59:01.2801036Z test_list_input (__main__.TestTensorBoardSummary) ... ok (0.004s) 2022-12-01T10:59:01.2801541Z test_mesh (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_tensorboard.py line 490 2022-12-01T10:59:01.2801857Z due to: 2022-12-01T10:59:01.2802031Z Traceback (most recent call last): 2022-12-01T10:59:01.2802327Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/base.py", line 144, in as_python_constant 2022-12-01T10:59:01.2802642Z raise NotImplementedError(f"{self} is not a constant") 2022-12-01T10:59:01.2802963Z NotImplementedError: GetAttrVariable(UserDefinedClassVariable(), __module__) is not a constant 2022-12-01T10:59:01.2803171Z 2022-12-01T10:59:01.2803245Z from user code: 2022-12-01T10:59:01.2803478Z File "test_tensorboard.py", line 491, in 2022-12-01T10:59:01.2803747Z self.assertTrue(compare_proto(mesh, self)) 2022-12-01T10:59:01.2803888Z 2022-12-01T10:59:01.2804055Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2804276Z ========== 2022-12-01T10:59:01.2804439Z ok (0.233s) 2022-12-01T10:59:01.2804880Z test_scalar_new_style (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_scalar_new_style test_tensorboard.py line 493 2022-12-01T10:59:01.2805201Z due to: 2022-12-01T10:59:01.2805390Z Traceback (most recent call last): 2022-12-01T10:59:01.2805671Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2806127Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2806667Z AssertionError: torch.* op returned non-Tensor Summary call_function 2022-12-01T10:59:01.2806872Z 2022-12-01T10:59:01.2806944Z from user code: 2022-12-01T10:59:01.2807293Z File "test_tensorboard.py", line 494, in test_scalar_new_style 2022-12-01T10:59:01.2807633Z scalar = summary.scalar('test_scalar', 1.0, new_style=True) 2022-12-01T10:59:01.2807786Z 2022-12-01T10:59:01.2807919Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2808142Z ========== 2022-12-01T10:59:01.2808289Z ok (0.003s) 2022-12-01T10:59:01.2808702Z test_text (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_text test_tensorboard.py line 407 2022-12-01T10:59:01.2809002Z due to: 2022-12-01T10:59:01.2809173Z Traceback (most recent call last): 2022-12-01T10:59:01.2809451Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:01.2809880Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:01.2810312Z AssertionError: torch.* op returned non-Tensor Summary call_function 2022-12-01T10:59:01.2810511Z 2022-12-01T10:59:01.2810582Z from user code: 2022-12-01T10:59:01.2810797Z File "test_tensorboard.py", line 408, in test_text 2022-12-01T10:59:01.2811139Z self.assertTrue(compare_proto(summary.text('dummy', 'text 123'), self)) 2022-12-01T10:59:01.2811294Z 2022-12-01T10:59:01.2811427Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2811646Z ========== 2022-12-01T10:59:01.2811806Z ok (0.002s) 2022-12-01T10:59:01.2812009Z test_uint8_image (__main__.TestTensorBoardSummary) 2022-12-01T10:59:01.2812289Z Tests that uint8 image (pixel values in [0, 255]) is not changed ... ok (0.010s) 2022-12-01T10:59:01.2812774Z test_video (__main__.TestTensorBoardSummary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_video test_tensorboard.py line 395 2022-12-01T10:59:01.2813068Z due to: 2022-12-01T10:59:01.2813254Z Traceback (most recent call last): 2022-12-01T10:59:01.2813539Z File "/var/lib/jenkins/torchdynamo/torchdynamo/symbolic_convert.py", line 504, in IMPORT_NAME 2022-12-01T10:59:01.2813806Z globals=self.f_globals, 2022-12-01T10:59:01.2814064Z ModuleNotFoundError: No module named 'moviepy' 2022-12-01T10:59:01.2814210Z 2022-12-01T10:59:01.2814280Z from user code: 2022-12-01T10:59:01.2814493Z File "test_tensorboard.py", line 397, in test_video 2022-12-01T10:59:01.2814706Z import moviepy # noqa: F401 2022-12-01T10:59:01.2814832Z 2022-12-01T10:59:01.2814964Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2815183Z ========== 2022-12-01T10:59:01.2815329Z ok (1.037s) 2022-12-01T10:59:01.2815571Z test_pathlib (__main__.TestTensorBoardSummaryWriter) ... ok (0.019s) 2022-12-01T10:59:01.2815902Z test_summary_writer_close (__main__.TestTensorBoardSummaryWriter) ... ok (0.002s) 2022-12-01T10:59:01.2816226Z test_summary_writer_ctx (__main__.TestTensorBoardSummaryWriter) ... ok (0.002s) 2022-12-01T10:59:01.2816805Z test_convert_to_HWC_dtype_remains_same (__main__.TestTensorBoardUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_convert_to_HWC_dtype_remains_same test_tensorboard.py line 175 2022-12-01T10:59:01.2817223Z due to: 2022-12-01T10:59:01.2817408Z Traceback (most recent call last): 2022-12-01T10:59:01.2817793Z File "/opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/_convert_np.py", line 32, in _prepare_pytorch 2022-12-01T10:59:01.2818089Z x = x.detach().cpu().numpy() 2022-12-01T10:59:01.2818336Z RuntimeError: .numpy() is not supported for tensor subclasses. 2022-12-01T10:59:01.2818495Z 2022-12-01T10:59:01.2818619Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:01.2818783Z 2022-12-01T10:59:01.2818874Z Traceback (most recent call last): 2022-12-01T10:59:01.2819192Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:01.2819473Z raise TorchRuntimeError() from e 2022-12-01T10:59:01.2819705Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:01.2819849Z 2022-12-01T10:59:01.2819917Z from user code: 2022-12-01T10:59:01.2820147Z File "test_tensorboard.py", line 179, in test_convert_to_HWC_dtype_remains_same 2022-12-01T10:59:01.2820400Z tensor = make_np(test_image) 2022-12-01T10:59:01.2820520Z 2022-12-01T10:59:01.2820650Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:01.2820900Z ========== 2022-12-01T10:59:01.2821061Z ok (0.005s) 2022-12-01T10:59:01.2821293Z test_numpy_vid_uint8 (__main__.TestTensorBoardUtils) ... ok (0.033s) 2022-12-01T10:59:01.2821573Z test_prepare_video (__main__.TestTensorBoardUtils) ... ok (0.120s) 2022-12-01T10:59:01.2821856Z test_to_HWC (__main__.TestTensorBoardUtils) ... ok (0.043s) 2022-12-01T10:59:01.2822155Z test_writer (__main__.TestTensorBoardWriter) ... add_video needs package moviepy 2022-12-01T10:59:01.2822392Z ok (0.047s) 2022-12-01T10:59:01.2822477Z 2022-12-01T10:59:01.2822676Z ---------------------------------------------------------------------- 2022-12-01T10:59:01.2822914Z Ran 53 tests in 21.790s 2022-12-01T10:59:01.2823027Z 2022-12-01T10:59:01.2823097Z OK (skipped=6) 2022-12-01T10:59:01.2823200Z 2022-12-01T10:59:01.2823273Z Generating XML reports... 2022-12-01T10:59:01.2823707Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20221201105838.xml 2022-12-01T10:59:01.2824262Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20221201105838.xml 2022-12-01T10:59:01.2824825Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20221201105838.xml 2022-12-01T10:59:01.2825395Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20221201105838.xml 2022-12-01T10:59:01.2825958Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20221201105838.xml 2022-12-01T10:59:01.2826526Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20221201105838.xml 2022-12-01T10:59:01.2827081Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20221201105838.xml 2022-12-01T10:59:01.2827603Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20221201105838.xml 2022-12-01T10:59:01.2828132Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20221201105838.xml 2022-12-01T10:59:01.2828374Z 2022-12-01T10:59:01.2828677Z ##[endgroup] 2022-12-01T10:59:01.2829053Z FINISHED PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_ajv9sh5p) 2022-12-01T10:59:01.2829279Z 2022-12-01T10:59:01.2829436Z Running test_masked ... [2022-12-01 10:59:01.271714] 2022-12-01T10:59:01.2829894Z Executing ['/opt/conda/bin/python', '-bb', 'test_masked.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:01.272112] 2022-12-01T10:59:15.2618608Z 2022-12-01T10:59:15.2619439Z Expand the folded group to see the log file of test_masked 2022-12-01T10:59:15.2620412Z ##[group]PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_213fohcn) 2022-12-01T10:59:15.2621429Z Test results will be stored in test-reports/python-unittest/test_masked 2022-12-01T10:59:15.2621702Z 2022-12-01T10:59:15.2621818Z Running tests... 2022-12-01T10:59:15.2622322Z ---------------------------------------------------------------------- 2022-12-01T10:59:15.2622852Z test_mask_layout_sparse_coo_masked_amax_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (1.083s) 2022-12-01T10:59:15.2623451Z test_mask_layout_sparse_coo_masked_amax_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.165s) 2022-12-01T10:59:15.2624166Z test_mask_layout_sparse_coo_masked_amax_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.162s) 2022-12-01T10:59:15.2624735Z test_mask_layout_sparse_coo_masked_amax_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.160s) 2022-12-01T10:59:15.2625329Z test_mask_layout_sparse_coo_masked_amax_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.003s) 2022-12-01T10:59:15.2625962Z test_mask_layout_sparse_coo_masked_amax_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2626566Z test_mask_layout_sparse_coo_masked_amax_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2627087Z test_mask_layout_sparse_coo_masked_amax_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2627647Z test_mask_layout_sparse_coo_masked_amax_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2628213Z test_mask_layout_sparse_coo_masked_amin_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.162s) 2022-12-01T10:59:15.2628724Z test_mask_layout_sparse_coo_masked_amin_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.162s) 2022-12-01T10:59:15.2629253Z test_mask_layout_sparse_coo_masked_amin_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.162s) 2022-12-01T10:59:15.2629795Z test_mask_layout_sparse_coo_masked_amin_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.160s) 2022-12-01T10:59:15.2630322Z test_mask_layout_sparse_coo_masked_amin_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2630888Z test_mask_layout_sparse_coo_masked_amin_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2631420Z test_mask_layout_sparse_coo_masked_amin_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2631983Z test_mask_layout_sparse_coo_masked_amin_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2632529Z test_mask_layout_sparse_coo_masked_amin_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2633117Z test_mask_layout_sparse_coo_masked_mean_cpu_bfloat16 (__main__.TestMaskedCPU) ... skip: masked.mean does not support inputs with sparse_coo layout (0.002s) 2022-12-01T10:59:15.2633653Z test_mask_layout_sparse_coo_masked_mean_cpu_bool (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2634144Z test_mask_layout_sparse_coo_masked_mean_cpu_complex128 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2634636Z test_mask_layout_sparse_coo_masked_mean_cpu_complex64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2635190Z test_mask_layout_sparse_coo_masked_mean_cpu_float16 (__main__.TestMaskedCPU) ... skip: masked.mean does not support inputs with sparse_coo layout (0.001s) 2022-12-01T10:59:15.2635781Z test_mask_layout_sparse_coo_masked_mean_cpu_float32 (__main__.TestMaskedCPU) ... skip: masked.mean does not support inputs with sparse_coo layout (0.001s) 2022-12-01T10:59:15.2636394Z test_mask_layout_sparse_coo_masked_mean_cpu_float64 (__main__.TestMaskedCPU) ... skip: masked.mean does not support inputs with sparse_coo layout (0.001s) 2022-12-01T10:59:15.2636927Z test_mask_layout_sparse_coo_masked_mean_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2637398Z test_mask_layout_sparse_coo_masked_mean_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2637984Z test_mask_layout_sparse_coo_masked_mean_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2638454Z test_mask_layout_sparse_coo_masked_mean_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2638926Z test_mask_layout_sparse_coo_masked_mean_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2658472Z test_mask_layout_sparse_coo_masked_prod_cpu_bool (__main__.TestMaskedCPU) ... ok (0.112s) 2022-12-01T10:59:15.2658977Z test_mask_layout_sparse_coo_masked_prod_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.113s) 2022-12-01T10:59:15.2659589Z test_mask_layout_sparse_coo_masked_prod_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.113s) 2022-12-01T10:59:15.2660239Z test_mask_layout_sparse_coo_masked_prod_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.150s) 2022-12-01T10:59:15.2660695Z test_mask_layout_sparse_coo_masked_prod_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.149s) 2022-12-01T10:59:15.2661130Z test_mask_layout_sparse_coo_masked_prod_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.110s) 2022-12-01T10:59:15.2661600Z test_mask_layout_sparse_coo_masked_prod_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.110s) 2022-12-01T10:59:15.2662042Z test_mask_layout_sparse_coo_masked_prod_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.109s) 2022-12-01T10:59:15.2662478Z test_mask_layout_sparse_coo_masked_prod_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.110s) 2022-12-01T10:59:15.2662924Z test_mask_layout_sparse_coo_masked_prod_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.108s) 2022-12-01T10:59:15.2663379Z test_mask_layout_sparse_coo_masked_sum_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.160s) 2022-12-01T10:59:15.2663933Z test_mask_layout_sparse_coo_masked_sum_cpu_bool (__main__.TestMaskedCPU) ... ok (0.119s) 2022-12-01T10:59:15.2664408Z test_mask_layout_sparse_coo_masked_sum_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.124s) 2022-12-01T10:59:15.2664861Z test_mask_layout_sparse_coo_masked_sum_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.122s) 2022-12-01T10:59:15.2665311Z test_mask_layout_sparse_coo_masked_sum_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.160s) 2022-12-01T10:59:15.2665750Z test_mask_layout_sparse_coo_masked_sum_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.160s) 2022-12-01T10:59:15.2666177Z test_mask_layout_sparse_coo_masked_sum_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.157s) 2022-12-01T10:59:15.2666639Z test_mask_layout_sparse_coo_masked_sum_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.118s) 2022-12-01T10:59:15.2667075Z test_mask_layout_sparse_coo_masked_sum_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.118s) 2022-12-01T10:59:15.2667487Z test_mask_layout_sparse_coo_masked_sum_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.117s) 2022-12-01T10:59:15.2667915Z test_mask_layout_sparse_coo_masked_sum_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.119s) 2022-12-01T10:59:15.2668376Z test_mask_layout_sparse_coo_masked_sum_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.116s) 2022-12-01T10:59:15.2668858Z test_mask_layout_sparse_csr_masked_amax_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.035s) 2022-12-01T10:59:15.2669311Z test_mask_layout_sparse_csr_masked_amax_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.034s) 2022-12-01T10:59:15.2669764Z test_mask_layout_sparse_csr_masked_amax_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.034s) 2022-12-01T10:59:15.2670206Z test_mask_layout_sparse_csr_masked_amax_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.034s) 2022-12-01T10:59:15.2670725Z test_mask_layout_sparse_csr_masked_amax_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2671273Z test_mask_layout_sparse_csr_masked_amax_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2671858Z test_mask_layout_sparse_csr_masked_amax_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2672442Z test_mask_layout_sparse_csr_masked_amax_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2673373Z test_mask_layout_sparse_csr_masked_amax_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2673923Z test_mask_layout_sparse_csr_masked_amin_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.034s) 2022-12-01T10:59:15.2674464Z test_mask_layout_sparse_csr_masked_amin_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.035s) 2022-12-01T10:59:15.2674968Z test_mask_layout_sparse_csr_masked_amin_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.034s) 2022-12-01T10:59:15.2675449Z test_mask_layout_sparse_csr_masked_amin_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.034s) 2022-12-01T10:59:15.2676077Z test_mask_layout_sparse_csr_masked_amin_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2676636Z test_mask_layout_sparse_csr_masked_amin_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2677215Z test_mask_layout_sparse_csr_masked_amin_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2677791Z test_mask_layout_sparse_csr_masked_amin_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2678365Z test_mask_layout_sparse_csr_masked_amin_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2678935Z test_mask_layout_sparse_csr_masked_mean_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.026s) 2022-12-01T10:59:15.2679543Z test_mask_layout_sparse_csr_masked_mean_cpu_bool (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2680151Z test_mask_layout_sparse_csr_masked_mean_cpu_complex128 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2680772Z test_mask_layout_sparse_csr_masked_mean_cpu_complex64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2681317Z test_mask_layout_sparse_csr_masked_mean_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.026s) 2022-12-01T10:59:15.2681821Z test_mask_layout_sparse_csr_masked_mean_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.026s) 2022-12-01T10:59:15.2682148Z test_mask_layout_sparse_csr_masked_mean_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.026s) 2022-12-01T10:59:15.2682490Z test_mask_layout_sparse_csr_masked_mean_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2682845Z test_mask_layout_sparse_csr_masked_mean_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2683178Z test_mask_layout_sparse_csr_masked_mean_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2683531Z test_mask_layout_sparse_csr_masked_mean_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2683882Z test_mask_layout_sparse_csr_masked_mean_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2684219Z test_mask_layout_sparse_csr_masked_prod_cpu_bool (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2684539Z test_mask_layout_sparse_csr_masked_prod_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2684877Z test_mask_layout_sparse_csr_masked_prod_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2685209Z test_mask_layout_sparse_csr_masked_prod_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.032s) 2022-12-01T10:59:15.2685524Z test_mask_layout_sparse_csr_masked_prod_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.032s) 2022-12-01T10:59:15.2685847Z test_mask_layout_sparse_csr_masked_prod_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2686173Z test_mask_layout_sparse_csr_masked_prod_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2686573Z test_mask_layout_sparse_csr_masked_prod_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2686879Z test_mask_layout_sparse_csr_masked_prod_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2687402Z test_mask_layout_sparse_csr_masked_prod_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2687837Z test_mask_layout_sparse_csr_masked_sum_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.033s) 2022-12-01T10:59:15.2688149Z test_mask_layout_sparse_csr_masked_sum_cpu_bool (__main__.TestMaskedCPU) ... ok (0.011s) 2022-12-01T10:59:15.2688479Z test_mask_layout_sparse_csr_masked_sum_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.011s) 2022-12-01T10:59:15.2688812Z test_mask_layout_sparse_csr_masked_sum_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.011s) 2022-12-01T10:59:15.2689137Z test_mask_layout_sparse_csr_masked_sum_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.033s) 2022-12-01T10:59:15.2689495Z test_mask_layout_sparse_csr_masked_sum_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.033s) 2022-12-01T10:59:15.2689818Z test_mask_layout_sparse_csr_masked_sum_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.033s) 2022-12-01T10:59:15.2690144Z test_mask_layout_sparse_csr_masked_sum_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.011s) 2022-12-01T10:59:15.2690462Z test_mask_layout_sparse_csr_masked_sum_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.011s) 2022-12-01T10:59:15.2690762Z test_mask_layout_sparse_csr_masked_sum_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.010s) 2022-12-01T10:59:15.2691085Z test_mask_layout_sparse_csr_masked_sum_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.011s) 2022-12-01T10:59:15.2691400Z test_mask_layout_sparse_csr_masked_sum_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.011s) 2022-12-01T10:59:15.2691712Z test_mask_layout_strided_masked_amax_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2692033Z test_mask_layout_strided_masked_amax_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2692353Z test_mask_layout_strided_masked_amax_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2692667Z test_mask_layout_strided_masked_amax_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.081s) 2022-12-01T10:59:15.2692980Z test_mask_layout_strided_masked_amax_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2693320Z test_mask_layout_strided_masked_amax_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2693655Z test_mask_layout_strided_masked_amax_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2693989Z test_mask_layout_strided_masked_amax_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2694319Z test_mask_layout_strided_masked_amax_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2694653Z test_mask_layout_strided_masked_amin_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2694972Z test_mask_layout_strided_masked_amin_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2695274Z test_mask_layout_strided_masked_amin_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2695591Z test_mask_layout_strided_masked_amin_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.081s) 2022-12-01T10:59:15.2695924Z test_mask_layout_strided_masked_amin_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2696261Z test_mask_layout_strided_masked_amin_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2696580Z test_mask_layout_strided_masked_amin_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2696919Z test_mask_layout_strided_masked_amin_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2697259Z test_mask_layout_strided_masked_amin_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2697577Z test_mask_layout_strided_masked_mean_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.060s) 2022-12-01T10:59:15.2697904Z test_mask_layout_strided_masked_mean_cpu_bool (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2698254Z test_mask_layout_strided_masked_mean_cpu_complex128 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2698642Z test_mask_layout_strided_masked_mean_cpu_complex64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2698964Z test_mask_layout_strided_masked_mean_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.060s) 2022-12-01T10:59:15.2699280Z test_mask_layout_strided_masked_mean_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.059s) 2022-12-01T10:59:15.2699592Z test_mask_layout_strided_masked_mean_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.059s) 2022-12-01T10:59:15.2699948Z test_mask_layout_strided_masked_mean_cpu_int16 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2700275Z test_mask_layout_strided_masked_mean_cpu_int32 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2700610Z test_mask_layout_strided_masked_mean_cpu_int64 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2700944Z test_mask_layout_strided_masked_mean_cpu_int8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2701274Z test_mask_layout_strided_masked_mean_cpu_uint8 (__main__.TestMaskedCPU) ... skip: Skipped! (0.001s) 2022-12-01T10:59:15.2701601Z test_mask_layout_strided_masked_prod_cpu_bool (__main__.TestMaskedCPU) ... ok (0.058s) 2022-12-01T10:59:15.2701924Z test_mask_layout_strided_masked_prod_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.065s) 2022-12-01T10:59:15.2702251Z test_mask_layout_strided_masked_prod_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.066s) 2022-12-01T10:59:15.2702562Z test_mask_layout_strided_masked_prod_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.083s) 2022-12-01T10:59:15.2702880Z test_mask_layout_strided_masked_prod_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.081s) 2022-12-01T10:59:15.2703193Z test_mask_layout_strided_masked_prod_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.058s) 2022-12-01T10:59:15.2703503Z test_mask_layout_strided_masked_prod_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.057s) 2022-12-01T10:59:15.2703806Z test_mask_layout_strided_masked_prod_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.056s) 2022-12-01T10:59:15.2704124Z test_mask_layout_strided_masked_prod_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.058s) 2022-12-01T10:59:15.2704433Z test_mask_layout_strided_masked_prod_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.058s) 2022-12-01T10:59:15.2704731Z test_mask_layout_strided_masked_sum_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2705044Z test_mask_layout_strided_masked_sum_cpu_bool (__main__.TestMaskedCPU) ... ok (0.057s) 2022-12-01T10:59:15.2705363Z test_mask_layout_strided_masked_sum_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.066s) 2022-12-01T10:59:15.2705683Z test_mask_layout_strided_masked_sum_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.065s) 2022-12-01T10:59:15.2705986Z test_mask_layout_strided_masked_sum_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2706302Z test_mask_layout_strided_masked_sum_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2706611Z test_mask_layout_strided_masked_sum_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.080s) 2022-12-01T10:59:15.2706907Z test_mask_layout_strided_masked_sum_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.057s) 2022-12-01T10:59:15.2707214Z test_mask_layout_strided_masked_sum_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.056s) 2022-12-01T10:59:15.2707520Z test_mask_layout_strided_masked_sum_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.055s) 2022-12-01T10:59:15.2707831Z test_mask_layout_strided_masked_sum_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.057s) 2022-12-01T10:59:15.2708129Z test_mask_layout_strided_masked_sum_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.056s) 2022-12-01T10:59:15.2708452Z test_reference_masked_masked_log_softmax_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.146s) 2022-12-01T10:59:15.2708786Z test_reference_masked_masked_log_softmax_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.030s) 2022-12-01T10:59:15.2709153Z test_reference_masked_masked_log_softmax_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.023s) 2022-12-01T10:59:15.2709467Z test_reference_masked_masked_norm_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.326s) 2022-12-01T10:59:15.2709787Z test_reference_masked_masked_norm_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.200s) 2022-12-01T10:59:15.2710102Z test_reference_masked_masked_norm_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.199s) 2022-12-01T10:59:15.2710402Z test_reference_masked_masked_norm_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.197s) 2022-12-01T10:59:15.2710756Z test_reference_masked_masked_normalize_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.084s) 2022-12-01T10:59:15.2711095Z test_reference_masked_masked_normalize_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.030s) 2022-12-01T10:59:15.2711430Z test_reference_masked_masked_normalize_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.030s) 2022-12-01T10:59:15.2711771Z test_reference_masked_masked_normalize_cpu_float16 (__main__.TestMaskedCPU) ... expected failure (0.016s) 2022-12-01T10:59:15.2712118Z test_reference_masked_masked_normalize_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.025s) 2022-12-01T10:59:15.2712447Z test_reference_masked_masked_normalize_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.025s) 2022-12-01T10:59:15.2712762Z test_reference_masked_masked_softmax_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.040s) 2022-12-01T10:59:15.2713083Z test_reference_masked_masked_softmax_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.024s) 2022-12-01T10:59:15.2713406Z test_reference_masked_masked_softmax_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.016s) 2022-12-01T10:59:15.2713726Z test_reference_masked_masked_softmin_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.042s) 2022-12-01T10:59:15.2714033Z test_reference_masked_masked_softmin_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.026s) 2022-12-01T10:59:15.2714354Z test_reference_masked_masked_softmin_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.018s) 2022-12-01T10:59:15.2714668Z test_reference_masked_masked_std_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.167s) 2022-12-01T10:59:15.2714988Z test_reference_masked_masked_std_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.119s) 2022-12-01T10:59:15.2715298Z test_reference_masked_masked_std_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.118s) 2022-12-01T10:59:15.2715797Z test_reference_masked_masked_std_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.127s) 2022-12-01T10:59:15.2716303Z test_reference_masked_masked_std_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.126s) 2022-12-01T10:59:15.2716606Z test_reference_masked_masked_std_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2716913Z test_reference_masked_masked_std_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2717217Z test_reference_masked_masked_std_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2717526Z test_reference_masked_masked_std_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2717821Z test_reference_masked_masked_std_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2718135Z test_reference_masked_masked_var_cpu_bfloat16 (__main__.TestMaskedCPU) ... ok (0.166s) 2022-12-01T10:59:15.2718458Z test_reference_masked_masked_var_cpu_complex128 (__main__.TestMaskedCPU) ... ok (0.105s) 2022-12-01T10:59:15.2718768Z test_reference_masked_masked_var_cpu_complex64 (__main__.TestMaskedCPU) ... ok (0.102s) 2022-12-01T10:59:15.2719087Z test_reference_masked_masked_var_cpu_float16 (__main__.TestMaskedCPU) ... ok (0.106s) 2022-12-01T10:59:15.2719409Z test_reference_masked_masked_var_cpu_float32 (__main__.TestMaskedCPU) ... ok (0.110s) 2022-12-01T10:59:15.2719722Z test_reference_masked_masked_var_cpu_float64 (__main__.TestMaskedCPU) ... ok (0.109s) 2022-12-01T10:59:15.2720019Z test_reference_masked_masked_var_cpu_int16 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2720400Z test_reference_masked_masked_var_cpu_int32 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2720706Z test_reference_masked_masked_var_cpu_int64 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2720997Z test_reference_masked_masked_var_cpu_int8 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2721302Z test_reference_masked_masked_var_cpu_uint8 (__main__.TestMaskedCPU) ... ok (0.004s) 2022-12-01T10:59:15.2721596Z test_where_coo_fill_value_0_cpu (__main__.TestMaskedCPU) ... ok (0.082s) 2022-12-01T10:59:15.2721886Z test_where_coo_fill_value_123_cpu (__main__.TestMaskedCPU) ... ok (0.041s) 2022-12-01T10:59:15.2722511Z test_where_csr_fill_value_0_cpu (__main__.TestMaskedCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_masked.py line 356 2022-12-01T10:59:15.2722824Z due to: 2022-12-01T10:59:15.2723007Z Traceback (most recent call last): 2022-12-01T10:59:15.2723343Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:59:15.2723618Z return self._op(*args, **kwargs or {}) 2022-12-01T10:59:15.2725639Z NotImplementedError: Could not run 'aten::to_sparse_csr' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csr' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:59:15.2727101Z 2022-12-01T10:59:15.2727268Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:59:15.2727650Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:59:15.2728055Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:59:15.2728509Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:59:15.2728945Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:59:15.2729387Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:59:15.2729848Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:59:15.2730267Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:59:15.2730646Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:15.2731036Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:15.2731432Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:59:15.2731866Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:59:15.2732297Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2732786Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2733204Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2733616Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2734048Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2734452Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2734857Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2735265Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2735658Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2736061Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2736474Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2736888Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2737307Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2737742Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2738178Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2738614Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2739011Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:59:15.2739412Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:59:15.2739819Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:59:15.2740262Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:59:15.2740730Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:59:15.2741171Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:59:15.2741593Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:59:15.2742031Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:59:15.2742459Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:59:15.2742915Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:59:15.2743370Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:59:15.2743632Z 2022-12-01T10:59:15.2743636Z 2022-12-01T10:59:15.2743773Z During handling of the above exception, another exception occurred: 2022-12-01T10:59:15.2743942Z 2022-12-01T10:59:15.2744021Z Traceback (most recent call last): 2022-12-01T10:59:15.2744387Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:59:15.2744711Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:59:15.2745012Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:59:15.2745182Z 2022-12-01T10:59:15.2745351Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:15.2745516Z 2022-12-01T10:59:15.2745608Z Traceback (most recent call last): 2022-12-01T10:59:15.2745890Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:15.2746150Z raise TorchRuntimeError() from e 2022-12-01T10:59:15.2746389Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:15.2746531Z 2022-12-01T10:59:15.2746602Z from user code: 2022-12-01T10:59:15.2746814Z File "test_masked.py", line 357, in 2022-12-01T10:59:15.2747043Z mask = to_sparse(mask) 2022-12-01T10:59:15.2747158Z 2022-12-01T10:59:15.2747289Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:15.2747507Z ========== 2022-12-01T10:59:15.2747813Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT to_sparse test_masked.py line 342 2022-12-01T10:59:15.2748054Z due to: 2022-12-01T10:59:15.2748234Z Traceback (most recent call last): 2022-12-01T10:59:15.2748562Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:59:15.2748828Z return self._op(*args, **kwargs or {}) 2022-12-01T10:59:15.2750781Z NotImplementedError: Could not run 'aten::to_sparse_csr' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csr' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:59:15.2751957Z 2022-12-01T10:59:15.2752128Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:59:15.2752507Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:59:15.2752908Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:59:15.2753340Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:59:15.2753782Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:59:15.2754217Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:59:15.2754669Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:59:15.2755076Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:59:15.2755503Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:15.2755892Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:15.2756286Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:59:15.2756705Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:59:15.2757174Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2757596Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2758008Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2758409Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2758820Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2759226Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2759633Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2760020Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2760415Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2760822Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2761229Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2761623Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2762044Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2762479Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2762909Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2763333Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_4.cpp:14624 [autograd kernel] 2022-12-01T10:59:15.2763741Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_4.cpp:12871 [kernel] 2022-12-01T10:59:15.2764129Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:59:15.2764531Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:59:15.2764964Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:59:15.2765443Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:59:15.2765880Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:59:15.2766402Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:59:15.2775456Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:59:15.2775904Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:59:15.2776372Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:59:15.2776937Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:59:15.2777173Z 2022-12-01T10:59:15.2777177Z 2022-12-01T10:59:15.2777317Z During handling of the above exception, another exception occurred: 2022-12-01T10:59:15.2777483Z 2022-12-01T10:59:15.2777564Z Traceback (most recent call last): 2022-12-01T10:59:15.2777968Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:59:15.2778298Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:59:15.2778615Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:59:15.2778775Z 2022-12-01T10:59:15.2778911Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:15.2779077Z 2022-12-01T10:59:15.2779169Z Traceback (most recent call last): 2022-12-01T10:59:15.2779451Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:15.2779715Z raise TorchRuntimeError() from e 2022-12-01T10:59:15.2779951Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:15.2780096Z 2022-12-01T10:59:15.2780167Z from user code: 2022-12-01T10:59:15.2780377Z File "test_masked.py", line 343, in to_sparse 2022-12-01T10:59:15.2780580Z return dense.to_sparse_csr() 2022-12-01T10:59:15.2780704Z 2022-12-01T10:59:15.2780835Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:15.2781056Z ========== 2022-12-01T10:59:15.2781366Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT set_values test_masked.py line 345 2022-12-01T10:59:15.2781613Z due to: 2022-12-01T10:59:15.2781796Z Traceback (most recent call last): 2022-12-01T10:59:15.2782171Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T10:59:15.2782517Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T10:59:15.2782869Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T10:59:15.2783077Z 2022-12-01T10:59:15.2783213Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:15.2783364Z 2022-12-01T10:59:15.2783455Z Traceback (most recent call last): 2022-12-01T10:59:15.2783734Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T10:59:15.2783978Z ) from e 2022-12-01T10:59:15.2784295Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T10:59:15.2784553Z 2022-12-01T10:59:15.2784685Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:15.2784902Z ========== 2022-12-01T10:59:15.2785061Z ok (0.032s) 2022-12-01T10:59:15.2785278Z test_where_csr_fill_value_123_cpu (__main__.TestMaskedCPU) ... ok (0.002s) 2022-12-01T10:59:15.2785576Z test_where_hybrid_coo_fill_value_0_cpu (__main__.TestMaskedCPU) ... ok (0.040s) 2022-12-01T10:59:15.2785885Z test_where_hybrid_coo_fill_value_123_cpu (__main__.TestMaskedCPU) ... ok (0.002s) 2022-12-01T10:59:15.2786055Z 2022-12-01T10:59:15.2786244Z ---------------------------------------------------------------------- 2022-12-01T10:59:15.2786491Z Ran 202 tests in 11.361s 2022-12-01T10:59:15.2786606Z 2022-12-01T10:59:15.2786701Z OK (skipped=58, expected failures=1) 2022-12-01T10:59:15.2786892Z 2022-12-01T10:59:15.2786975Z Generating XML reports... 2022-12-01T10:59:15.2787357Z Generated XML report: test-reports/python-unittest/test_masked/TEST-TestMaskedCPU-20221201105903.xml 2022-12-01T10:59:15.2787579Z 2022-12-01T10:59:15.2787884Z ##[endgroup] 2022-12-01T10:59:15.2788238Z FINISHED PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_213fohcn) 2022-12-01T10:59:15.2788444Z 2022-12-01T10:59:15.2788615Z Running test_sort_and_select ... [2022-12-01 10:59:15.262664] 2022-12-01T10:59:15.2789125Z Executing ['/opt/conda/bin/python', '-bb', 'test_sort_and_select.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:15.263060] 2022-12-01T10:59:25.4281736Z 2022-12-01T10:59:25.4282744Z Expand the folded group to see the log file of test_sort_and_select 2022-12-01T10:59:25.4283438Z ##[group]PRINTING LOG FILE of test_sort_and_select (/var/lib/jenkins/workspace/test/test-reports/test_sort_and_select_9of6ypo0) 2022-12-01T10:59:25.4283997Z Test results will be stored in test-reports/python-unittest/test_sort_and_select 2022-12-01T10:59:25.4284230Z 2022-12-01T10:59:25.4284316Z Running tests... 2022-12-01T10:59:25.4285036Z ---------------------------------------------------------------------- 2022-12-01T10:59:25.4285590Z test_isin_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (1.960s) 2022-12-01T10:59:25.4286075Z test_isin_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.186s) 2022-12-01T10:59:25.4286597Z test_isin_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.186s) 2022-12-01T10:59:25.4286946Z test_isin_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.187s) 2022-12-01T10:59:25.4287373Z test_isin_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.185s) 2022-12-01T10:59:25.4287658Z test_isin_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.185s) 2022-12-01T10:59:25.4287930Z test_isin_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.185s) 2022-12-01T10:59:25.4288265Z test_isin_different_devices_cpu_float32 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.002s) 2022-12-01T10:59:25.4321556Z test_isin_different_devices_cpu_float64 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4322380Z test_isin_different_devices_cpu_int16 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4323205Z test_isin_different_devices_cpu_int32 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4324017Z test_isin_different_devices_cpu_int64 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4324837Z test_isin_different_devices_cpu_int8 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4325610Z test_isin_different_devices_cpu_uint8 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4326415Z test_isin_different_dtypes_cpu (__main__.TestSortAndSelectCPU) ... ok (0.053s) 2022-12-01T10:59:25.4327234Z test_kthvalue_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.627s) 2022-12-01T10:59:25.4327886Z test_kthvalue_scalar_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.020s) 2022-12-01T10:59:25.4328549Z test_msort_cpu_bfloat16 (__main__.TestSortAndSelectCPU) ... ok (0.175s) 2022-12-01T10:59:25.4329185Z test_msort_cpu_float16 (__main__.TestSortAndSelectCPU) ... ok (0.054s) 2022-12-01T10:59:25.4329812Z test_msort_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.004s) 2022-12-01T10:59:25.4330458Z test_msort_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.004s) 2022-12-01T10:59:25.4331092Z test_msort_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4331717Z test_msort_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4332329Z test_msort_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4332925Z test_msort_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4333796Z test_msort_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4335678Z test_sort_1d_output_discontiguous_cpu_float32 (__main__.TestSortAndSelectCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [3], which does not match the required output shape [6]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:59:25.4337377Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:59:25.4338778Z :11: UserWarning: An output with one or more elements was resized since it had shape [3], which does not match the required output shape [6]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:59:25.4340011Z ok (0.019s) 2022-12-01T10:59:25.4340482Z test_sort_cpu (__main__.TestSortAndSelectCPU) ... ok (1.751s) 2022-12-01T10:59:25.4341165Z test_sort_discontiguous_cpu_float32 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4342066Z test_sort_discontiguous_slow_cpu_float32 (__main__.TestSortAndSelectCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-12-01T10:59:25.4342928Z test_sort_large_cpu_uint8 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4343635Z test_sort_large_slice_cpu (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4345402Z test_sort_restride_cpu_float32 (__main__.TestSortAndSelectCPU) ... /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:59:25.4346964Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:59:25.4348364Z :9: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T10:59:25.4349612Z ok (0.026s) 2022-12-01T10:59:25.4350170Z test_stable_sort_against_numpy_cpu_bfloat16 (__main__.TestSortAndSelectCPU) ... ok (0.053s) 2022-12-01T10:59:25.4350878Z test_stable_sort_against_numpy_cpu_float16 (__main__.TestSortAndSelectCPU) ... ok (0.014s) 2022-12-01T10:59:25.4351595Z test_stable_sort_against_numpy_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.012s) 2022-12-01T10:59:25.4352307Z test_stable_sort_against_numpy_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.013s) 2022-12-01T10:59:25.4352993Z test_stable_sort_against_numpy_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.012s) 2022-12-01T10:59:25.4353697Z test_stable_sort_against_numpy_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.012s) 2022-12-01T10:59:25.4354410Z test_stable_sort_against_numpy_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.012s) 2022-12-01T10:59:25.4355197Z test_stable_sort_against_numpy_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.012s) 2022-12-01T10:59:25.4355895Z test_stable_sort_against_numpy_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.009s) 2022-12-01T10:59:25.4356588Z test_stable_sort_cpu_bfloat16 (__main__.TestSortAndSelectCPU) ... ok (0.012s) 2022-12-01T10:59:25.4357253Z test_stable_sort_cpu_float16 (__main__.TestSortAndSelectCPU) ... ok (0.004s) 2022-12-01T10:59:25.4357911Z test_stable_sort_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4358543Z test_stable_sort_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4359274Z test_stable_sort_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4359932Z test_stable_sort_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4360555Z test_stable_sort_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4361199Z test_stable_sort_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4361860Z test_stable_sort_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4362573Z test_topk_1d_output_discontiguous_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.012s) 2022-12-01T10:59:25.4363221Z test_topk_4d_cpu (__main__.TestSortAndSelectCPU) ... ok (0.019s) 2022-12-01T10:59:25.4364440Z test_topk_arguments_cpu (__main__.TestSortAndSelectCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sort_and_select.py line 417 2022-12-01T10:59:25.4365107Z due to: 2022-12-01T10:59:25.4365484Z Traceback (most recent call last): 2022-12-01T10:59:25.4366099Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:59:25.4366832Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:59:25.4367662Z TypeError: topk(): argument 'dim' (position 2) must be int, not bool 2022-12-01T10:59:25.4367942Z 2022-12-01T10:59:25.4368079Z from user code: 2022-12-01T10:59:25.4368347Z File "test_sort_and_select.py", line 417, in 2022-12-01T10:59:25.4368763Z self.assertRaises(TypeError, lambda: q.topk(4, True)) 2022-12-01T10:59:25.4369017Z 2022-12-01T10:59:25.4369225Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:25.4369603Z ========== 2022-12-01T10:59:25.4369886Z ok (0.008s) 2022-12-01T10:59:25.4370361Z test_topk_bfloat16_cpu_bfloat16 (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4371332Z test_topk_cpu (__main__.TestSortAndSelectCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_topk test_sort_and_select.py line 360 2022-12-01T10:59:25.4371857Z due to: 2022-12-01T10:59:25.4372228Z Traceback (most recent call last): 2022-12-01T10:59:25.4372701Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:59:25.4373226Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:59:25.4373737Z TypeError: rand() received an invalid combination of arguments - got (FakeTensor, FakeTensor, FakeTensor, device=str), but expected one of: 2022-12-01T10:59:25.4374404Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:59:25.4375241Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:59:25.4376077Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:59:25.4376865Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-12-01T10:59:25.4377275Z 2022-12-01T10:59:25.4377283Z 2022-12-01T10:59:25.4377410Z from user code: 2022-12-01T10:59:25.4377919Z File "test_sort_and_select.py", line 385, in test_topk 2022-12-01T10:59:25.4378167Z random.randint(1, SIZE), device=device) 2022-12-01T10:59:25.4378301Z 2022-12-01T10:59:25.4378435Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:25.4378640Z ========== 2022-12-01T10:59:25.4378796Z ok (0.231s) 2022-12-01T10:59:25.4379032Z test_topk_integral_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.054s) 2022-12-01T10:59:25.4379338Z test_topk_integral_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.048s) 2022-12-01T10:59:25.4379625Z test_topk_integral_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.033s) 2022-12-01T10:59:25.4379976Z test_topk_integral_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4380284Z test_topk_integral_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.003s) 2022-12-01T10:59:25.4380606Z test_topk_noncontiguous_gpu_cpu (__main__.TestSortAndSelectCPU) ... skip: Only runs on cuda (0.001s) 2022-12-01T10:59:25.4380945Z test_topk_nonfinite_cpu_bfloat16 (__main__.TestSortAndSelectCPU) ... ok (0.034s) 2022-12-01T10:59:25.4381258Z test_topk_nonfinite_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.019s) 2022-12-01T10:59:25.4381571Z test_topk_nonfinite_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.019s) 2022-12-01T10:59:25.4381864Z test_topk_zero_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.015s) 2022-12-01T10:59:25.4382163Z test_topk_zero_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.008s) 2022-12-01T10:59:25.4382456Z test_topk_zero_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.008s) 2022-12-01T10:59:25.4382737Z test_topk_zero_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.008s) 2022-12-01T10:59:25.4383046Z test_topk_zero_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.009s) 2022-12-01T10:59:25.4383339Z test_topk_zero_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.008s) 2022-12-01T10:59:25.4383630Z test_topk_zero_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.008s) 2022-12-01T10:59:25.4383924Z test_unique_consecutive_cpu_bfloat16 (__main__.TestSortAndSelectCPU) ... ok (0.137s) 2022-12-01T10:59:25.4384354Z test_unique_consecutive_cpu_bool (__main__.TestSortAndSelectCPU) ... ok (0.092s) 2022-12-01T10:59:25.4384678Z test_unique_consecutive_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.091s) 2022-12-01T10:59:25.4384998Z test_unique_consecutive_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.086s) 2022-12-01T10:59:25.4385303Z test_unique_consecutive_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.045s) 2022-12-01T10:59:25.4385622Z test_unique_consecutive_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.045s) 2022-12-01T10:59:25.4385937Z test_unique_consecutive_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.117s) 2022-12-01T10:59:25.4386237Z test_unique_consecutive_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.045s) 2022-12-01T10:59:25.4386552Z test_unique_consecutive_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.006s) 2022-12-01T10:59:25.4386859Z test_unique_cpu_bfloat16 (__main__.TestSortAndSelectCPU) ... ok (0.113s) 2022-12-01T10:59:25.4387149Z test_unique_cpu_bool (__main__.TestSortAndSelectCPU) ... ok (0.093s) 2022-12-01T10:59:25.4387426Z test_unique_cpu_float32 (__main__.TestSortAndSelectCPU) ... ok (0.072s) 2022-12-01T10:59:25.4387719Z test_unique_cpu_float64 (__main__.TestSortAndSelectCPU) ... ok (0.071s) 2022-12-01T10:59:25.4388008Z test_unique_cpu_int16 (__main__.TestSortAndSelectCPU) ... ok (0.069s) 2022-12-01T10:59:25.4388280Z test_unique_cpu_int32 (__main__.TestSortAndSelectCPU) ... ok (0.069s) 2022-12-01T10:59:25.4388569Z test_unique_cpu_int64 (__main__.TestSortAndSelectCPU) ... ok (0.069s) 2022-12-01T10:59:25.4388858Z test_unique_cpu_int8 (__main__.TestSortAndSelectCPU) ... ok (0.068s) 2022-12-01T10:59:25.4389142Z test_unique_cpu_uint8 (__main__.TestSortAndSelectCPU) ... ok (0.018s) 2022-12-01T10:59:25.4389416Z test_unique_dim_cpu (__main__.TestSortAndSelectCPU) ... ok (0.374s) 2022-12-01T10:59:25.4389618Z 2022-12-01T10:59:25.4389833Z ---------------------------------------------------------------------- 2022-12-01T10:59:25.4390074Z Ran 91 tests in 8.351s 2022-12-01T10:59:25.4390187Z 2022-12-01T10:59:25.4390246Z OK (skipped=13) 2022-12-01T10:59:25.4390352Z 2022-12-01T10:59:25.4390434Z Generating XML reports... 2022-12-01T10:59:25.4390868Z Generated XML report: test-reports/python-unittest/test_sort_and_select/TEST-TestSortAndSelectCPU-20221201105916.xml 2022-12-01T10:59:25.4391114Z 2022-12-01T10:59:25.4391433Z ##[endgroup] 2022-12-01T10:59:25.4391865Z FINISHED PRINTING LOG FILE of test_sort_and_select (/var/lib/jenkins/workspace/test/test-reports/test_sort_and_select_9of6ypo0) 2022-12-01T10:59:25.4392088Z 2022-12-01T10:59:25.4392265Z Running test_multiprocessing ... [2022-12-01 10:59:25.428544] 2022-12-01T10:59:25.4392750Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:25.428900] 2022-12-01T10:59:35.0397228Z 2022-12-01T10:59:35.0397926Z Expand the folded group to see the log file of test_multiprocessing 2022-12-01T10:59:35.0398976Z ##[group]PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_xinrbs22) 2022-12-01T10:59:35.0399830Z Test results will be stored in test-reports/python-unittest/test_multiprocessing 2022-12-01T10:59:35.0400150Z 2022-12-01T10:59:35.0400271Z Running tests... 2022-12-01T10:59:35.0400807Z ---------------------------------------------------------------------- 2022-12-01T10:59:35.0401838Z test_autograd_errors (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_multiprocessing.py line 385 2022-12-01T10:59:35.0402461Z due to: 2022-12-01T10:59:35.0402795Z Traceback (most recent call last): 2022-12-01T10:59:35.0403310Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:35.0404094Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:35.0404915Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:59:35.0405289Z 2022-12-01T10:59:35.0405421Z from user code: 2022-12-01T10:59:35.0405869Z File "test_multiprocessing.py", line 387, in 2022-12-01T10:59:35.0406517Z if torch.cuda.is_available() or torch.backends.mps.is_available(): 2022-12-01T10:59:35.0406803Z 2022-12-01T10:59:35.0407154Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0407440Z ========== 2022-12-01T10:59:35.0407776Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT tearDown test_multiprocessing.py line 241 2022-12-01T10:59:35.0408035Z due to: 2022-12-01T10:59:35.0408219Z Traceback (most recent call last): 2022-12-01T10:59:35.0408487Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:35.0408928Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:35.0409385Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:59:35.0409588Z 2022-12-01T10:59:35.0409658Z from user code: 2022-12-01T10:59:35.0409865Z File "test_multiprocessing.py", line 243, in tearDown 2022-12-01T10:59:35.0410100Z if torch.cuda.is_available(): 2022-12-01T10:59:35.0410226Z 2022-12-01T10:59:35.0410356Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0410562Z ========== 2022-12-01T10:59:35.0410722Z ok (4.116s) 2022-12-01T10:59:35.0411208Z test_autograd_fine_with_spawn (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 62 slow tests 2022-12-01T10:59:35.0411663Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-12-01T10:59:35.0412285Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 421 disabled tests 2022-12-01T10:59:35.0412620Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-12-01T10:59:35.0412844Z ok (1.345s) 2022-12-01T10:59:35.0413098Z test_cuda_bad_call (__main__.TestMultiprocessing) ... skip: CUDA not available (0.001s) 2022-12-01T10:59:35.0413448Z test_cuda_ipc_deadlock (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0413793Z test_cuda_memory_allocation (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0414218Z test_cuda_parameter_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-12-01T10:59:35.0414574Z test_cuda_send_many (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0414901Z test_cuda_simple (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-12-01T10:59:35.0415252Z test_cuda_small_tensors (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0415605Z test_cuda_variable_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-12-01T10:59:35.0416142Z test_empty_shared (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_empty_shared test_multiprocessing.py line 871 2022-12-01T10:59:35.0416448Z due to: 2022-12-01T10:59:35.0416630Z Traceback (most recent call last): 2022-12-01T10:59:35.0416984Z File "/opt/conda/lib/python3.7/site-packages/torch/storage.py", line 210, in share_memory_ 2022-12-01T10:59:35.0417235Z self._share_fd_cpu_() 2022-12-01T10:59:35.0417455Z RuntimeError: _share_fd_: only available on CPU 2022-12-01T10:59:35.0417596Z 2022-12-01T10:59:35.0417733Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:35.0417897Z 2022-12-01T10:59:35.0417988Z Traceback (most recent call last): 2022-12-01T10:59:35.0418254Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:35.0418523Z raise TorchRuntimeError() from e 2022-12-01T10:59:35.0418758Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:35.0418905Z 2022-12-01T10:59:35.0418961Z from user code: 2022-12-01T10:59:35.0419188Z File "test_multiprocessing.py", line 873, in test_empty_shared 2022-12-01T10:59:35.0419416Z t.share_memory_() 2022-12-01T10:59:35.0419527Z 2022-12-01T10:59:35.0419644Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0419861Z ========== 2022-12-01T10:59:35.0420018Z ok (0.005s) 2022-12-01T10:59:35.0420253Z test_empty_tensor_sharing (__main__.TestMultiprocessing) ... ok (0.032s) 2022-12-01T10:59:35.0420575Z test_empty_tensor_sharing_cuda (__main__.TestMultiprocessing) ... skip: CUDA not available (0.000s) 2022-12-01T10:59:35.0420917Z test_event (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0421264Z test_event_handle_exporter (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0421608Z test_event_handle_importer (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0421965Z test_event_handle_multi_gpu (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0422318Z test_event_multiprocess (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0423172Z test_fd_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69660 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-12-01T10:59:35.0423949Z test_fd_preserve_sharing (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT do_test test_multiprocessing.py line 292 2022-12-01T10:59:35.0424290Z due to: 2022-12-01T10:59:35.0424474Z Traceback (most recent call last): 2022-12-01T10:59:35.0424754Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:35.0425166Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:35.0425576Z AssertionError: torch.* op returned non-Tensor TypedStorage call_method storage 2022-12-01T10:59:35.0425758Z 2022-12-01T10:59:35.0425829Z from user code: 2022-12-01T10:59:35.0426052Z File "test_multiprocessing.py", line 294, in do_test 2022-12-01T10:59:35.0426314Z data = [x.storage(), x, x[2], x[:, 1]] 2022-12-01T10:59:35.0426441Z 2022-12-01T10:59:35.0426575Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0426792Z ========== 2022-12-01T10:59:35.0427108Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT __exit__ test_multiprocessing.py line 194 2022-12-01T10:59:35.0427362Z due to: 2022-12-01T10:59:35.0427548Z Traceback (most recent call last): 2022-12-01T10:59:35.0427814Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:35.0428240Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:35.0428694Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:59:35.0428896Z 2022-12-01T10:59:35.0428966Z from user code: 2022-12-01T10:59:35.0429172Z File "test_multiprocessing.py", line 195, in __exit__ 2022-12-01T10:59:35.0429406Z if torch.cuda.is_available(): 2022-12-01T10:59:35.0429531Z 2022-12-01T10:59:35.0429662Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0429867Z ========== 2022-12-01T10:59:35.0430024Z ok (0.201s) 2022-12-01T10:59:35.0430781Z test_fd_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68831 for platform(s) win, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-12-01T10:59:35.0431855Z test_fs (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76866 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:59:35.0432617Z test_fs_is_shared (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT _test_is_shared test_multiprocessing.py line 875 2022-12-01T10:59:35.0432915Z due to: 2022-12-01T10:59:35.0433097Z Traceback (most recent call last): 2022-12-01T10:59:35.0433375Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:35.0433794Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:35.0434184Z AssertionError: torch.* op returned non-Tensor bool call_method is_shared 2022-12-01T10:59:35.0434358Z 2022-12-01T10:59:35.0434429Z from user code: 2022-12-01T10:59:35.0434661Z File "test_multiprocessing.py", line 877, in _test_is_shared 2022-12-01T10:59:35.0434891Z self.assertFalse(t.is_shared()) 2022-12-01T10:59:35.0435021Z 2022-12-01T10:59:35.0435153Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0435375Z ========== 2022-12-01T10:59:35.0435522Z ok (0.223s) 2022-12-01T10:59:35.0436263Z test_fs_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69659 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:59:35.0436868Z test_fs_preserve_sharing (__main__.TestMultiprocessing) ... ok (0.149s) 2022-12-01T10:59:35.0437702Z test_fs_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/67002 for platform(s) windows, mac, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:59:35.0438814Z test_inherit_tensor (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79776 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-12-01T10:59:35.0439655Z test_integer_parameter_serialization_cpu (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 62 slow tests 2022-12-01T10:59:35.0440050Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-12-01T10:59:35.0440481Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 421 disabled tests 2022-12-01T10:59:35.0440830Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-12-01T10:59:35.0441043Z ok (1.405s) 2022-12-01T10:59:35.0441363Z test_integer_parameter_serialization_cuda (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-12-01T10:59:35.0441848Z test_is_shared (__main__.TestMultiprocessing) ... ok (0.002s) 2022-12-01T10:59:35.0442204Z test_is_shared_cuda (__main__.TestMultiprocessing) ... skip: CUDA not available (0.000s) 2022-12-01T10:59:35.0442754Z test_leaf_variable_sharing (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_leaf_variable_sharing test_multiprocessing.py line 788 2022-12-01T10:59:35.0443090Z due to: 2022-12-01T10:59:35.0443276Z Traceback (most recent call last): 2022-12-01T10:59:35.0443545Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:35.0443975Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:35.0444432Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:59:35.0444636Z 2022-12-01T10:59:35.0444707Z from user code: 2022-12-01T10:59:35.0444936Z File "test_multiprocessing.py", line 792, in test_leaf_variable_sharing 2022-12-01T10:59:35.0445256Z if torch.cuda.is_available() and not NO_MULTIPROCESSING_SPAWN and TEST_CUDA_IPC: 2022-12-01T10:59:35.0445438Z 2022-12-01T10:59:35.0445570Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0445779Z ========== 2022-12-01T10:59:35.0445937Z ok (0.021s) 2022-12-01T10:59:35.0446209Z test_mixed_types_cuda_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-12-01T10:59:35.0446878Z test_non_leaf_variable_sharing (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_non_leaf_variable_sharing test_multiprocessing.py line 809 2022-12-01T10:59:35.0447364Z due to: 2022-12-01T10:59:35.0447550Z Traceback (most recent call last): 2022-12-01T10:59:35.0447826Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T10:59:35.0448245Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T10:59:35.0448700Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-12-01T10:59:35.0448905Z 2022-12-01T10:59:35.0448975Z from user code: 2022-12-01T10:59:35.0449219Z File "test_multiprocessing.py", line 810, in test_non_leaf_variable_sharing 2022-12-01T10:59:35.0449658Z devices = ['cpu'] if not torch.cuda.is_available() else ['cpu', 'cuda'] 2022-12-01T10:59:35.0449823Z 2022-12-01T10:59:35.0449955Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0450172Z ========== 2022-12-01T10:59:35.0450319Z ok (0.007s) 2022-12-01T10:59:35.0450779Z test_parameter_sharing (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_parameter_sharing test_multiprocessing.py line 833 2022-12-01T10:59:35.0451107Z due to: 2022-12-01T10:59:35.0451276Z Traceback (most recent call last): 2022-12-01T10:59:35.0451685Z File "/opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py", line 39, in __new__ 2022-12-01T10:59:35.0451977Z t = data.detach().requires_grad_(requires_grad) 2022-12-01T10:59:35.0452257Z RuntimeError: only Tensors of floating point dtype can require gradients 2022-12-01T10:59:35.0452414Z 2022-12-01T10:59:35.0452548Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:35.0452717Z 2022-12-01T10:59:35.0452809Z Traceback (most recent call last): 2022-12-01T10:59:35.0453087Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:35.0453348Z raise TorchRuntimeError() from e 2022-12-01T10:59:35.0453584Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:35.0453726Z 2022-12-01T10:59:35.0453795Z from user code: 2022-12-01T10:59:35.0454033Z File "test_multiprocessing.py", line 834, in test_parameter_sharing 2022-12-01T10:59:35.0454292Z param = Parameter(torch.arange(1., 26).view(5, 5)) 2022-12-01T10:59:35.0454438Z 2022-12-01T10:59:35.0454571Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0454786Z ========== 2022-12-01T10:59:35.0455490Z /opt/conda/lib/python3.7/site-packages/torch/utils/hooks.py:62: UserWarning: backward hook .hook at 0x7fb4877d89e0> on tensor will not be serialized. If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning 2022-12-01T10:59:35.0456023Z "to suppress this warning".format(repr(hook))) 2022-12-01T10:59:35.0456223Z ok (0.220s) 2022-12-01T10:59:35.0456676Z test_variable_sharing (__main__.TestMultiprocessing) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_variable_sharing test_multiprocessing.py line 782 2022-12-01T10:59:35.0456987Z due to: 2022-12-01T10:59:35.0457170Z Traceback (most recent call last): 2022-12-01T10:59:35.0457452Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 77, in run_proxy 2022-12-01T10:59:35.0457748Z return getattr(args[0], proxy.node.target)(*args[1:], **kwargs) 2022-12-01T10:59:35.0458040Z RuntimeError: only Tensors of floating point dtype can require gradients 2022-12-01T10:59:35.0458207Z 2022-12-01T10:59:35.0458343Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:35.0458510Z 2022-12-01T10:59:35.0458602Z Traceback (most recent call last): 2022-12-01T10:59:35.0458865Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:35.0459137Z raise TorchRuntimeError() from e 2022-12-01T10:59:35.0459369Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:35.0459511Z 2022-12-01T10:59:35.0459567Z from user code: 2022-12-01T10:59:35.0459804Z File "test_multiprocessing.py", line 784, in test_variable_sharing 2022-12-01T10:59:35.0460089Z var = torch.arange(1., 26).view(5, 5).requires_grad_(requires_grad) 2022-12-01T10:59:35.0460246Z 2022-12-01T10:59:35.0460381Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:35.0460586Z ========== 2022-12-01T10:59:35.0461295Z /opt/conda/lib/python3.7/site-packages/torch/utils/hooks.py:62: UserWarning: backward hook .hook at 0x7fb4877ee0e0> on tensor will not be serialized. If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning 2022-12-01T10:59:35.0461856Z "to suppress this warning".format(repr(hook))) 2022-12-01T10:59:35.0462044Z ok (0.236s) 2022-12-01T10:59:35.0462297Z test_wrong_cuda_fork (__main__.TestMultiprocessing) ... skip: CUDA not available (0.001s) 2022-12-01T10:59:35.0462479Z 2022-12-01T10:59:35.0462679Z ---------------------------------------------------------------------- 2022-12-01T10:59:35.0462922Z Ran 37 tests in 8.058s 2022-12-01T10:59:35.0463035Z 2022-12-01T10:59:35.0463093Z OK (skipped=24) 2022-12-01T10:59:35.0463199Z 2022-12-01T10:59:35.0463331Z Generating XML reports... 2022-12-01T10:59:35.0463762Z Generated XML report: test-reports/python-unittest/test_multiprocessing/TEST-TestMultiprocessing-20221201105926.xml 2022-12-01T10:59:35.0464009Z 2022-12-01T10:59:35.0464289Z ##[endgroup] 2022-12-01T10:59:35.0464691Z FINISHED PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_xinrbs22) 2022-12-01T10:59:35.0464928Z 2022-12-01T10:59:35.0465090Z Running test_mkl_verbose ... [2022-12-01 10:59:35.040204] 2022-12-01T10:59:35.0465553Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkl_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:35.040550] 2022-12-01T10:59:42.4548173Z 2022-12-01T10:59:42.4548713Z Expand the folded group to see the log file of test_mkl_verbose 2022-12-01T10:59:42.4549783Z ##[group]PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_rgo8l0ge) 2022-12-01T10:59:42.4550679Z Test results will be stored in test-reports/python-unittest/test_mkl_verbose 2022-12-01T10:59:42.4550885Z 2022-12-01T10:59:42.4551000Z Running tests... 2022-12-01T10:59:42.4551418Z ---------------------------------------------------------------------- 2022-12-01T10:59:42.4551786Z test_verbose_off (__main__.TestMKLVerbose) ... ok (4.637s) 2022-12-01T10:59:42.4552273Z test_verbose_on (__main__.TestMKLVerbose) ... ok (1.210s) 2022-12-01T10:59:42.4552527Z 2022-12-01T10:59:42.4552725Z ---------------------------------------------------------------------- 2022-12-01T10:59:42.4552952Z Ran 2 tests in 5.906s 2022-12-01T10:59:42.4553065Z 2022-12-01T10:59:42.4553126Z OK 2022-12-01T10:59:42.4553217Z 2022-12-01T10:59:42.4553300Z Generating XML reports... 2022-12-01T10:59:42.4553698Z Generated XML report: test-reports/python-unittest/test_mkl_verbose/TEST-TestMKLVerbose-20221201105936.xml 2022-12-01T10:59:42.4553928Z 2022-12-01T10:59:42.4554154Z ##[endgroup] 2022-12-01T10:59:42.4554597Z FINISHED PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_rgo8l0ge) 2022-12-01T10:59:42.4554857Z 2022-12-01T10:59:42.4555147Z Running test_maskedtensor ... [2022-12-01 10:59:42.455005] 2022-12-01T10:59:42.4555880Z Executing ['/opt/conda/bin/python', '-bb', 'test_maskedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:42.455339] 2022-12-01T10:59:49.3851572Z 2022-12-01T10:59:49.3852162Z Expand the folded group to see the log file of test_maskedtensor 2022-12-01T10:59:49.3856149Z ##[group]PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor_umhluf0y) 2022-12-01T10:59:49.3864931Z Test results will be stored in test-reports/python-unittest/test_maskedtensor 2022-12-01T10:59:49.3865117Z 2022-12-01T10:59:49.3865178Z Running tests... 2022-12-01T10:59:49.3865490Z ---------------------------------------------------------------------- 2022-12-01T10:59:49.3865993Z test_add_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_add test_maskedtensor.py line 150 2022-12-01T10:59:49.3866270Z due to: 2022-12-01T10:59:49.3866451Z Traceback (most recent call last): 2022-12-01T10:59:49.3866841Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.3867278Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.3868180Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([140400156288432, 140399664248880, 140399664249136, 140400042402160, 2022-12-01T10:59:49.3875975Z 140400042402288]), FakeTensor(FakeTensor(..., device='meta', size=(5,), dtype=torch.int64), cpu)), **{}) 2022-12-01T10:59:49.3876194Z 2022-12-01T10:59:49.3876269Z from user code: 2022-12-01T10:59:49.3876491Z File "test_maskedtensor.py", line 153, in test_add 2022-12-01T10:59:49.3876825Z m0 = masked_tensor(data, mask) 2022-12-01T10:59:49.3876953Z 2022-12-01T10:59:49.3877086Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.3877304Z ========== 2022-12-01T10:59:49.3878042Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3878594Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3879364Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3879905Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3880665Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3881210Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3881420Z ok (0.153s) 2022-12-01T10:59:49.3881842Z test_contiguous_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_contiguous test_maskedtensor.py line 326 2022-12-01T10:59:49.3882141Z due to: 2022-12-01T10:59:49.3882310Z Traceback (most recent call last): 2022-12-01T10:59:49.3882695Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.3883133Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.3883754Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[1.3667e+34, 1.3556e-19, 1.3563e-19], 2022-12-01T10:59:49.3884180Z [1.8567e-01, 7.3077e+28, 1.4585e-19], 2022-12-01T10:59:49.3884533Z [1.0899e+27, 1.1705e-19, 1.3563e-19]]), FakeTensor(FakeTensor(..., device='meta', size=(3, 3)), cpu)), **{}) 2022-12-01T10:59:49.3884708Z 2022-12-01T10:59:49.3884777Z from user code: 2022-12-01T10:59:49.3884986Z File "test_maskedtensor.py", line 334, in test_contiguous 2022-12-01T10:59:49.3885245Z contiguous_mt = masked_tensor(contiguous_data, mask1) 2022-12-01T10:59:49.3885391Z 2022-12-01T10:59:49.3885521Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.3885737Z ========== 2022-12-01T10:59:49.3886522Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3887320Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3887643Z ok (0.025s) 2022-12-01T10:59:49.3888425Z test_diff_dim_cpu (__main__.TestBasicsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3888998Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3889221Z ok (0.010s) 2022-12-01T10:59:49.3890050Z test_diff_layouts_cpu (__main__.TestBasicsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3890632Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3890842Z ok (0.016s) 2022-12-01T10:59:49.3891609Z test_diff_sizes_cpu (__main__.TestBasicsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3892189Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3892411Z ok (0.010s) 2022-12-01T10:59:49.3892616Z test_grad_warning_cpu (__main__.TestBasicsCPU) ... ok (0.599s) 2022-12-01T10:59:49.3893135Z test_invalid_sparse_coo_values_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_invalid_sparse_coo_values test_maskedtensor.py line 272 2022-12-01T10:59:49.3893462Z due to: 2022-12-01T10:59:49.3893640Z Traceback (most recent call last): 2022-12-01T10:59:49.3893907Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 75, in run_proxy 2022-12-01T10:59:49.3894192Z return proxy.node.target(*args, **kwargs) 2022-12-01T10:59:49.3894743Z RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet. Caffe2 uses a lazy allocation, so you will need to call mutable_data() or raw_mutable_data() to actually allocate memory. 2022-12-01T10:59:49.3895036Z 2022-12-01T10:59:49.3895172Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:49.3895326Z 2022-12-01T10:59:49.3895418Z Traceback (most recent call last): 2022-12-01T10:59:49.3895693Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:49.3895964Z raise TorchRuntimeError() from e 2022-12-01T10:59:49.3896184Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:49.3896327Z 2022-12-01T10:59:49.3896396Z from user code: 2022-12-01T10:59:49.3896631Z File "test_maskedtensor.py", line 277, in test_invalid_sparse_coo_values 2022-12-01T10:59:49.3896894Z t = torch.sparse_coo_tensor(i1, v, (2, 4), device=device) 2022-12-01T10:59:49.3897039Z 2022-12-01T10:59:49.3897168Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.3897384Z ========== 2022-12-01T10:59:49.3898084Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3898617Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3898840Z ok (0.011s) 2022-12-01T10:59:49.3899305Z test_invalid_sparse_csr_values_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_invalid_sparse_csr_values test_maskedtensor.py line 284 2022-12-01T10:59:49.3899666Z due to: 2022-12-01T10:59:49.3899835Z Traceback (most recent call last): 2022-12-01T10:59:49.3900170Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:59:49.3900440Z return self._op(*args, **kwargs or {}) 2022-12-01T10:59:49.3902624Z NotImplementedError: Could not run 'aten::_validate_compressed_sparse_indices' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_validate_compressed_sparse_indices' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:59:49.3903967Z 2022-12-01T10:59:49.3904139Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:59:49.3904561Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:59:49.3905015Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:59:49.3905457Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:59:49.3905915Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:59:49.3906320Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:59:49.3906711Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:49.3907099Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:49.3907491Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:59:49.3907912Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:59:49.3908354Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3908772Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3909185Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3909580Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3918447Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3919046Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3919613Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3920167Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3920852Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3921413Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3921978Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3922588Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3923167Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3923769Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3924370Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3924955Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3925517Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:59:49.3926056Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:59:49.3926785Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:59:49.3927601Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:59:49.3928410Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:59:49.3929022Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:59:49.3929600Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:59:49.3930196Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:59:49.3930820Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:59:49.3931465Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:59:49.3932095Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:59:49.3932404Z 2022-12-01T10:59:49.3932411Z 2022-12-01T10:59:49.3932601Z During handling of the above exception, another exception occurred: 2022-12-01T10:59:49.3932829Z 2022-12-01T10:59:49.3932958Z Traceback (most recent call last): 2022-12-01T10:59:49.3933507Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:59:49.3933868Z return self._op(*args, **kwargs or {}) 2022-12-01T10:59:49.3934292Z RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied. 2022-12-01T10:59:49.3934503Z 2022-12-01T10:59:49.3934702Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:49.3934928Z 2022-12-01T10:59:49.3935070Z Traceback (most recent call last): 2022-12-01T10:59:49.3935464Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:49.3935859Z raise TorchRuntimeError() from e 2022-12-01T10:59:49.3936225Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:49.3936604Z 2022-12-01T10:59:49.3936696Z from user code: 2022-12-01T10:59:49.3937066Z File "test_maskedtensor.py", line 297, in test_invalid_sparse_csr_values 2022-12-01T10:59:49.3937430Z size=(2, 4) 2022-12-01T10:59:49.3937595Z 2022-12-01T10:59:49.3937805Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.3938094Z ========== 2022-12-01T10:59:49.3938918Z test_maskedtensor.py:297: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-12-01T10:59:49.3939611Z size=(2, 4) 2022-12-01T10:59:49.3940678Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3941457Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3941800Z ok (0.022s) 2022-12-01T10:59:49.3942461Z test_invalid_sparse_layout_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_invalid_sparse_layout test_maskedtensor.py line 266 2022-12-01T10:59:49.3942911Z due to: 2022-12-01T10:59:49.3943172Z Traceback (most recent call last): 2022-12-01T10:59:49.3943651Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T10:59:49.3944033Z return self._op(*args, **kwargs or {}) 2022-12-01T10:59:49.3947116Z NotImplementedError: Could not run 'aten::to_sparse_csc' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::to_sparse_csc' is only available for these backends: [CPU, SparseCPU, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMeta, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher]. 2022-12-01T10:59:49.3948792Z 2022-12-01T10:59:49.3949037Z CPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterCPU.cpp:30798 [kernel] 2022-12-01T10:59:49.3949553Z SparseCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCPU.cpp:1261 [kernel] 2022-12-01T10:59:49.3950124Z SparseCsrCPU: registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSparseCsrCPU.cpp:1030 [kernel] 2022-12-01T10:59:49.3950758Z BackendSelect: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback] 2022-12-01T10:59:49.3951371Z Python: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:140 [backend fallback] 2022-12-01T10:59:49.3951980Z FuncTorchDynamicLayerBackMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:488 [backend fallback] 2022-12-01T10:59:49.3952650Z Functionalize: registered at /var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp:291 [backend fallback] 2022-12-01T10:59:49.3953243Z Named: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback] 2022-12-01T10:59:49.3953823Z Conjugate: registered at /var/lib/jenkins/workspace/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:49.3954509Z Negative: registered at /var/lib/jenkins/workspace/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback] 2022-12-01T10:59:49.3955139Z ZeroTensor: registered at /var/lib/jenkins/workspace/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback] 2022-12-01T10:59:49.3955834Z ADInplaceOrView: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback] 2022-12-01T10:59:49.3956515Z AutogradOther: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3957139Z AutogradCPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3957725Z AutogradCUDA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3958294Z AutogradHIP: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3958862Z AutogradXLA: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3959412Z AutogradMPS: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3959981Z AutogradIPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3960540Z AutogradXPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3961132Z AutogradHPU: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3961770Z AutogradVE: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3962429Z AutogradLazy: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3963088Z AutogradMeta: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3963766Z AutogradPrivateUse1: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3964461Z AutogradPrivateUse2: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3965190Z AutogradPrivateUse3: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3965922Z AutogradNestedTensor: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/VariableType_1.cpp:14538 [autograd kernel] 2022-12-01T10:59:49.3966759Z Tracer: registered at /var/lib/jenkins/workspace/torch/csrc/autograd/generated/TraceType_1.cpp:15586 [kernel] 2022-12-01T10:59:49.3967572Z AutocastCPU: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:482 [backend fallback] 2022-12-01T10:59:49.3968299Z AutocastCUDA: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/autocast_mode.cpp:324 [backend fallback] 2022-12-01T10:59:49.3969055Z FuncTorchBatched: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:743 [backend fallback] 2022-12-01T10:59:49.3969895Z FuncTorchVmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/VmapModeRegistrations.cpp:28 [backend fallback] 2022-12-01T10:59:49.3970652Z Batched: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback] 2022-12-01T10:59:49.3971397Z VmapMode: fallthrough registered at /var/lib/jenkins/workspace/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback] 2022-12-01T10:59:49.3972289Z FuncTorchGradWrapper: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/TensorWrapper.cpp:189 [backend fallback] 2022-12-01T10:59:49.3973065Z PythonTLSSnapshot: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:148 [backend fallback] 2022-12-01T10:59:49.3973812Z FuncTorchDynamicLayerFrontMode: registered at /var/lib/jenkins/workspace/aten/src/ATen/functorch/DynamicLayer.cpp:484 [backend fallback] 2022-12-01T10:59:49.3974582Z PythonDispatcher: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/PythonFallbackKernel.cpp:144 [backend fallback] 2022-12-01T10:59:49.3974978Z 2022-12-01T10:59:49.3975094Z 2022-12-01T10:59:49.3975349Z During handling of the above exception, another exception occurred: 2022-12-01T10:59:49.3975644Z 2022-12-01T10:59:49.3975815Z Traceback (most recent call last): 2022-12-01T10:59:49.3976469Z File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 259, in storage 2022-12-01T10:59:49.3977032Z return torch.TypedStorage(wrap_storage=self._storage(), dtype=self.dtype) 2022-12-01T10:59:49.3977575Z NotImplementedError: Cannot access storage of SparseCsrTensorImpl 2022-12-01T10:59:49.3977878Z 2022-12-01T10:59:49.3978087Z The above exception was the direct cause of the following exception: 2022-12-01T10:59:49.3978363Z 2022-12-01T10:59:49.3978532Z Traceback (most recent call last): 2022-12-01T10:59:49.3979008Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T10:59:49.3979489Z raise TorchRuntimeError() from e 2022-12-01T10:59:49.3979905Z torchdynamo.exc.TorchRuntimeError 2022-12-01T10:59:49.3980157Z 2022-12-01T10:59:49.3980281Z from user code: 2022-12-01T10:59:49.3980702Z File "test_maskedtensor.py", line 267, in test_invalid_sparse_layout 2022-12-01T10:59:49.3981185Z data = torch.randn((3, 4), device=device).to_sparse_csc() 2022-12-01T10:59:49.3981444Z 2022-12-01T10:59:49.3981681Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.3982076Z ========== 2022-12-01T10:59:49.3983391Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3984389Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3984796Z ok (0.015s) 2022-12-01T10:59:49.3985660Z test_invalid_tensor_inputs_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_invalid_tensor_inputs test_maskedtensor.py line 111 2022-12-01T10:59:49.3986246Z due to: 2022-12-01T10:59:49.3986572Z Traceback (most recent call last): 2022-12-01T10:59:49.3987242Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.3988010Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.3989174Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.0721e+09, 3.0922e-41, -1.4183e+09, 3.0922e-41], 2022-12-01T10:59:49.3989997Z [ 2.8026e-45, 0.0000e+00, 2.8026e-45, 0.0000e+00], 2022-12-01T10:59:49.3990691Z [-2.4518e+13, 4.5807e-41, 4.7240e+09, 4.5807e-41]]), FakeTensor(FakeTensor(..., device='meta', size=(3, 4)), cpu)), **{}) 2022-12-01T10:59:49.3991004Z 2022-12-01T10:59:49.3991136Z from user code: 2022-12-01T10:59:49.3991521Z File "test_maskedtensor.py", line 114, in test_invalid_tensor_inputs 2022-12-01T10:59:49.3991957Z mt = masked_tensor(data, mask) 2022-12-01T10:59:49.3992172Z 2022-12-01T10:59:49.3992404Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.3992762Z ========== 2022-12-01T10:59:49.3994136Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.3995128Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.3995530Z ok (0.007s) 2022-12-01T10:59:49.3996257Z test_softmax_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_softmax test_maskedtensor.py line 159 2022-12-01T10:59:49.3996894Z due to: 2022-12-01T10:59:49.3997231Z Traceback (most recent call last): 2022-12-01T10:59:49.3997920Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.3998694Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.3999839Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3225e+13, 4.5807e-41, -1.6470e+09, 3.0922e-41], 2022-12-01T10:59:49.4000663Z [ 2.8026e-45, 0.0000e+00, 4.2039e-45, 0.0000e+00], 2022-12-01T10:59:49.4001329Z [ 0.0000e+00, 0.0000e+00, 2.8026e-45, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(3, 4)), cpu)), **{}) 2022-12-01T10:59:49.4001650Z 2022-12-01T10:59:49.4001776Z from user code: 2022-12-01T10:59:49.4002177Z File "test_maskedtensor.py", line 169, in test_softmax 2022-12-01T10:59:49.4002799Z mt = masked_tensor(data, mask, requires_grad=True) 2022-12-01T10:59:49.4003051Z 2022-12-01T10:59:49.4003253Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4003648Z ========== 2022-12-01T10:59:49.4004972Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4005948Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4007220Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4007977Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4008355Z ok (0.033s) 2022-12-01T10:59:49.4009185Z test_to_dense_and_sparse_coo_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_dense_and_sparse_coo test_maskedtensor.py line 228 2022-12-01T10:59:49.4009730Z due to: 2022-12-01T10:59:49.4010057Z Traceback (most recent call last): 2022-12-01T10:59:49.4010585Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:49.4011136Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:49.4011542Z AssertionError: dtype 2022-12-01T10:59:49.4011744Z 2022-12-01T10:59:49.4011861Z from user code: 2022-12-01T10:59:49.4012251Z File "test_maskedtensor.py", line 229, in test_to_dense_and_sparse_coo 2022-12-01T10:59:49.4012754Z for sample in _generate_sample_data(device=device, layout=torch.strided): 2022-12-01T10:59:49.4013076Z 2022-12-01T10:59:49.4013297Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4013660Z ========== 2022-12-01T10:59:49.4014863Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4015974Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4017060Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4017812Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4019272Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4020258Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4021674Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4022638Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4023728Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4024509Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4025843Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4026834Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4028219Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4029224Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4030275Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4031044Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4032426Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4033493Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4034859Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4035866Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4036981Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4037841Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4038215Z ok (0.104s) 2022-12-01T10:59:49.4039049Z test_to_dense_and_sparse_csr_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_dense_and_sparse_csr test_maskedtensor.py line 246 2022-12-01T10:59:49.4039624Z due to: 2022-12-01T10:59:49.4039949Z Traceback (most recent call last): 2022-12-01T10:59:49.4040461Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:49.4041095Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:49.4041492Z AssertionError: dtype 2022-12-01T10:59:49.4041696Z 2022-12-01T10:59:49.4041803Z from user code: 2022-12-01T10:59:49.4042216Z File "test_maskedtensor.py", line 247, in test_to_dense_and_sparse_csr 2022-12-01T10:59:49.4042751Z for sample in _generate_sample_data(device=device, layout=torch.strided): 2022-12-01T10:59:49.4043048Z 2022-12-01T10:59:49.4043263Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4043630Z ========== 2022-12-01T10:59:49.4044889Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4045856Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4047194Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4047936Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4048322Z ok (0.007s) 2022-12-01T10:59:49.4049088Z test_to_dense_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_dense test_maskedtensor.py line 210 2022-12-01T10:59:49.4049585Z due to: 2022-12-01T10:59:49.4049892Z Traceback (most recent call last): 2022-12-01T10:59:49.4050406Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:49.4050966Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:49.4051361Z AssertionError: dtype 2022-12-01T10:59:49.4051577Z 2022-12-01T10:59:49.4051703Z from user code: 2022-12-01T10:59:49.4052090Z File "test_maskedtensor.py", line 213, in test_to_dense 2022-12-01T10:59:49.4052458Z layout=torch.sparse_coo 2022-12-01T10:59:49.4052663Z 2022-12-01T10:59:49.4052894Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4053281Z ========== 2022-12-01T10:59:49.4054596Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4055627Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4056694Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4057463Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4058803Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4059870Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4061255Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4062247Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4063458Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4064229Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4065626Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4066638Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4068065Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4069084Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4070179Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4070959Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4072327Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4073299Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4074703Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4075656Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4076782Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4077534Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4077915Z ok (0.078s) 2022-12-01T10:59:49.4078644Z test_to_sparse_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_to_sparse test_maskedtensor.py line 197 2022-12-01T10:59:49.4079168Z due to: 2022-12-01T10:59:49.4079494Z Traceback (most recent call last): 2022-12-01T10:59:49.4079997Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:49.4080537Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:49.4080928Z AssertionError: dtype 2022-12-01T10:59:49.4081130Z 2022-12-01T10:59:49.4081337Z from user code: 2022-12-01T10:59:49.4081698Z File "test_maskedtensor.py", line 198, in test_to_sparse 2022-12-01T10:59:49.4082136Z for sample in _generate_sample_data(device=device): 2022-12-01T10:59:49.4082381Z 2022-12-01T10:59:49.4082603Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4082938Z ========== 2022-12-01T10:59:49.4084311Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4085301Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4086437Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4087309Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4087686Z ok (0.011s) 2022-12-01T10:59:49.4088377Z test_where_cpu (__main__.TestBasicsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_where test_maskedtensor.py line 179 2022-12-01T10:59:49.4088828Z due to: 2022-12-01T10:59:49.4089113Z Traceback (most recent call last): 2022-12-01T10:59:49.4089799Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4090606Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4091748Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([-3.3225e+13, 4.5807e-41, -1.4254e+09, 3.0922e-41, 0.0000e+00, 2022-12-01T10:59:49.4092531Z 0.0000e+00, -1.0476e+09, 3.0922e-41, 0.0000e+00, 0.0000e+00, 2022-12-01T10:59:49.4093140Z -2.1378e-02]), FakeTensor(FakeTensor(..., device='meta', size=(11,)), cpu)), **{}) 2022-12-01T10:59:49.4093420Z 2022-12-01T10:59:49.4093543Z from user code: 2022-12-01T10:59:49.4093887Z File "test_maskedtensor.py", line 183, in test_where 2022-12-01T10:59:49.4094303Z mx = masked_tensor(data, mask, requires_grad=True) 2022-12-01T10:59:49.4094556Z 2022-12-01T10:59:49.4094793Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4095163Z ========== 2022-12-01T10:59:49.4096404Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4097372Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4098450Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4099201Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4099539Z ok (0.009s) 2022-12-01T10:59:49.4100279Z test_binary_fn_aten_add (__main__.TestBinary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_binary test_maskedtensor.py line 464 2022-12-01T10:59:49.4100799Z due to: 2022-12-01T10:59:49.4101109Z Traceback (most recent call last): 2022-12-01T10:59:49.4101812Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4102586Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4103752Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[ 4.4089e+07, 4.5807e-41, 4.4077e+07, 4.5807e-41, 4.4084e+07, 2022-12-01T10:59:49.4104719Z 4.5807e-41, 4.4493e+07, 4.5807e-41, 4.4498e+07, 4.5807e-41], 2022-12-01T10:59:49.4105241Z [ 4.4497e+07, 4.5807e-41, 4.4485e+07, 4.5807e-41, 1.0103e-42, 2022-12-01T10:59:49.4105765Z 0.0000e+00, -3.3224e+13, 4.5807e-41, -3.3224e+13, 4.5807e-41], 2022-12-01T10:59:49.4106267Z [ 4.6938e+07, 4.5807e-41, 4.6937e+07, 4.5807e-41, 4.6939e+07, 2022-12-01T10:59:49.4106906Z 4.5807e-41, 4.6939e+07, 4.5807e-41, 4.6936e+07, 4.5807e-41], 2022-12-01T10:59:49.4107440Z [ 4.6937e+07, 4.5807e-41, 4.6932e+07, 4.5807e-41, 4.6930e+07, 2022-12-01T10:59:49.4107963Z 4.5807e-41, 4.6929e+07, 4.5807e-41, 4.6928e+07, 4.5807e-41], 2022-12-01T10:59:49.4108465Z [ 4.6937e+07, 4.5807e-41, 4.6930e+07, 4.5807e-41, 4.6928e+07, 2022-12-01T10:59:49.4108986Z 4.5807e-41, 4.6936e+07, 4.5807e-41, 4.6937e+07, 4.5807e-41], 2022-12-01T10:59:49.4109498Z [ 4.6936e+07, 4.5807e-41, 4.6935e+07, 4.5807e-41, 4.6936e+07, 2022-12-01T10:59:49.4109992Z 4.5807e-41, 4.6935e+07, 4.5807e-41, 4.6935e+07, 4.5807e-41], 2022-12-01T10:59:49.4110501Z [ 4.6934e+07, 4.5807e-41, 4.6935e+07, 4.5807e-41, 4.6934e+07, 2022-12-01T10:59:49.4111016Z 4.5807e-41, 4.6934e+07, 4.5807e-41, 4.6934e+07, 4.5807e-41], 2022-12-01T10:59:49.4111534Z [ 4.6933e+07, 4.5807e-41, 4.6925e+07, 4.5807e-41, 4.6932e+07, 2022-12-01T10:59:49.4112049Z 4.5807e-41, 4.6933e+07, 4.5807e-41, 4.6926e+07, 4.5807e-41], 2022-12-01T10:59:49.4112550Z [ 4.6925e+07, 4.5807e-41, 4.6928e+07, 4.5807e-41, 4.6928e+07, 2022-12-01T10:59:49.4113074Z 4.5807e-41, 4.6927e+07, 4.5807e-41, 4.6929e+07, 4.5807e-41], 2022-12-01T10:59:49.4113560Z [ 4.6930e+07, 4.5807e-41, 4.6930e+07, 4.5807e-41, 4.6929e+07, 2022-12-01T10:59:49.4114273Z 4.5807e-41, 4.6931e+07, 4.5807e-41, 4.6932e+07, 4.5807e-41]]), FakeTensor(FakeTensor(..., device='meta', size=(10, 10)), cpu)), **{}) 2022-12-01T10:59:49.4114598Z 2022-12-01T10:59:49.4114715Z from user code: 2022-12-01T10:59:49.4115094Z File "test_maskedtensor.py", line 471, in test_binary 2022-12-01T10:59:49.4115556Z for (t_args, mt_args) in self._yield_sample_args(fn_name, data0, data1, mask): 2022-12-01T10:59:49.4115848Z 2022-12-01T10:59:49.4116089Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4116489Z ========== 2022-12-01T10:59:49.4117742Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4118698Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4120118Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4121116Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4121527Z ok (0.021s) 2022-12-01T10:59:49.4122970Z test_binary_fn_aten_arctan2 (__main__.TestBinary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4124043Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4124591Z ok (0.008s) 2022-12-01T10:59:49.4126086Z test_binary_fn_aten_atan2 (__main__.TestBinary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4127459Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4127823Z ok (0.008s) 2022-12-01T10:59:49.4129385Z test_binary_fn_aten_bitwise_and (__main__.TestBinary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4130466Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4130842Z ok (0.012s) 2022-12-01T10:59:49.4132317Z test_binary_fn_aten_bitwise_left_shift (__main__.TestBinary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4133390Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4133791Z ok (0.012s) 2022-12-01T10:59:49.4135230Z test_binary_fn_aten_bitwise_or (__main__.TestBinary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4136250Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4136627Z ok (0.012s) 2022-12-01T10:59:49.4138081Z test_binary_fn_aten_bitwise_right_shift (__main__.TestBinary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4139161Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4139544Z ok (0.012s) 2022-12-01T10:59:49.4141011Z test_binary_fn_aten_bitwise_xor (__main__.TestBinary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4142069Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4142459Z ok (0.012s) 2022-12-01T10:59:49.4142826Z test_binary_fn_aten_div (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4143295Z test_binary_fn_aten_divide (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4143753Z test_binary_fn_aten_eq (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4144229Z test_binary_fn_aten_floor_divide (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4144705Z test_binary_fn_aten_fmax (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4145160Z test_binary_fn_aten_fmin (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4145611Z test_binary_fn_aten_fmod (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4146169Z test_binary_fn_aten_ge (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4146622Z test_binary_fn_aten_greater (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4147076Z test_binary_fn_aten_greater_equal (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4147540Z test_binary_fn_aten_gt (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4147993Z test_binary_fn_aten_le (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4148451Z test_binary_fn_aten_less (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4148911Z test_binary_fn_aten_less_equal (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4149467Z test_binary_fn_aten_logaddexp (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4149962Z test_binary_fn_aten_logaddexp2 (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4150406Z test_binary_fn_aten_lt (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4150830Z test_binary_fn_aten_maximum (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4151314Z test_binary_fn_aten_minimum (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4151797Z test_binary_fn_aten_mul (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4152244Z test_binary_fn_aten_multiply (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4152708Z test_binary_fn_aten_ne (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4153175Z test_binary_fn_aten_nextafter (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4153668Z test_binary_fn_aten_not_equal (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4154141Z test_binary_fn_aten_remainder (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4154629Z test_binary_fn_aten_sub (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4155107Z test_binary_fn_aten_subtract (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4155581Z test_binary_fn_aten_true_divide (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4156487Z test_inplace_binary_fn_aten_add_ (__main__.TestBinary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_inplace_binary test_maskedtensor.py line 476 2022-12-01T10:59:49.4157036Z due to: 2022-12-01T10:59:49.4157339Z Traceback (most recent call last): 2022-12-01T10:59:49.4158005Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4158799Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4159972Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3226e+13, 4.5807e-41, -1.7018e+09, 3.0922e-41, -7.0152e-01, 2022-12-01T10:59:49.4160817Z 1.0367e+00, -6.0367e-01, -1.2788e+00, 1.2390e-01, 1.1648e+00], 2022-12-01T10:59:49.4161309Z [ 9.2337e-01, 1.3873e+00, 1.3750e+00, 6.5963e-01, 4.7656e-01, 2022-12-01T10:59:49.4161837Z -1.0163e+00, 6.1036e-01, 4.6688e-01, 1.9507e+00, -1.0631e+00], 2022-12-01T10:59:49.4162368Z [ 1.1404e+00, -8.9882e-02, 7.2980e-01, -1.8453e+00, -1.0209e-01, 2022-12-01T10:59:49.4162879Z -1.0335e+00, -3.1264e-01, 2.4579e-01, 3.7718e-01, 1.1012e+00], 2022-12-01T10:59:49.4163403Z [-1.1428e+00, 3.7585e-02, 2.8858e-01, 3.8660e-01, -2.0106e-01, 2022-12-01T10:59:49.4163930Z -1.1793e-01, -8.2937e-01, -1.4073e+00, 1.6268e+00, 1.7227e-01], 2022-12-01T10:59:49.4164457Z [-7.0429e-01, 3.1472e-01, 1.5739e-01, 3.8536e-01, 5.7365e-01, 2022-12-01T10:59:49.4164998Z 9.9793e-01, 5.4361e-01, 7.8804e-02, 9.9846e-01, -4.9871e-01], 2022-12-01T10:59:49.4165469Z [ 7.6111e-01, 6.1830e-01, -2.9938e-01, -1.8778e-01, 1.9159e+00, 2022-12-01T10:59:49.4165817Z 6.9020e-01, -3.1403e-01, -1.0787e+00, 2.4081e-01, -1.3962e+00], 2022-12-01T10:59:49.4166124Z [ 1.1355e-01, 1.1047e+00, -1.3952e+00, 4.7512e-01, 1.0811e+00, 2022-12-01T10:59:49.4166614Z 1.3148e-01, 1.5735e+00, 7.8143e-01, 9.8744e-01, -1.4878e+00], 2022-12-01T10:59:49.4166917Z [ 5.8669e-01, 1.5830e-01, 6.6678e-01, -9.9439e-01, -1.1894e+00, 2022-12-01T10:59:49.4167387Z -1.1959e+00, 1.3119e+00, -2.0984e-01, 7.8173e-01, 9.8969e-01], 2022-12-01T10:59:49.4167676Z [ 1.7151e-01, 8.7604e-01, -2.8709e-01, 1.0216e+00, 4.3865e-01, 2022-12-01T10:59:49.4167983Z -1.0704e-02, 1.3384e+00, -2.7941e-01, -5.5183e-01, -2.8891e+00], 2022-12-01T10:59:49.4168284Z [-1.5100e+00, 1.0241e+00, 1.9539e-01, -7.3711e-01, 1.7001e+00, 2022-12-01T10:59:49.4168793Z 3.4622e-01, 9.7112e-01, 1.4503e+00, -5.1909e-02, -6.2843e-01]]), FakeTensor(FakeTensor(..., device='meta', size=(10, 10)), cpu)), **{}) 2022-12-01T10:59:49.4168991Z 2022-12-01T10:59:49.4169050Z from user code: 2022-12-01T10:59:49.4169291Z File "test_maskedtensor.py", line 483, in test_inplace_binary 2022-12-01T10:59:49.4169588Z for (t_args, mt_args) in self._yield_sample_args(fn_name, data0, data1, mask): 2022-12-01T10:59:49.4169762Z 2022-12-01T10:59:49.4169897Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4170105Z ========== 2022-12-01T10:59:49.4170812Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4171365Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4171581Z ok (0.013s) 2022-12-01T10:59:49.4171810Z test_inplace_binary_fn_aten_arctan2_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4172096Z test_inplace_binary_fn_aten_atan2_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4172387Z test_inplace_binary_fn_aten_bitwise_and_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4172681Z test_inplace_binary_fn_aten_bitwise_left_shift_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4172982Z test_inplace_binary_fn_aten_bitwise_or_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4173291Z test_inplace_binary_fn_aten_bitwise_right_shift_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4173585Z test_inplace_binary_fn_aten_bitwise_xor_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4173875Z test_inplace_binary_fn_aten_div_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4174160Z test_inplace_binary_fn_aten_divide_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4174446Z test_inplace_binary_fn_aten_eq_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4174722Z test_inplace_binary_fn_aten_floor_divide_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4175571Z test_inplace_binary_fn_aten_fmod_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4175851Z test_inplace_binary_fn_aten_ge_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4176124Z test_inplace_binary_fn_aten_greater_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4176420Z test_inplace_binary_fn_aten_greater_equal_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4176706Z test_inplace_binary_fn_aten_gt_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4176976Z test_inplace_binary_fn_aten_le_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4177240Z test_inplace_binary_fn_aten_less_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4177529Z test_inplace_binary_fn_aten_less_equal_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4177811Z test_inplace_binary_fn_aten_lt_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4178074Z test_inplace_binary_fn_aten_mul_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4178360Z test_inplace_binary_fn_aten_multiply_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4178641Z test_inplace_binary_fn_aten_ne_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4178990Z test_inplace_binary_fn_aten_nextafter_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4179268Z test_inplace_binary_fn_aten_not_equal_ (__main__.TestBinary) ... ok (0.010s) 2022-12-01T10:59:49.4179557Z test_inplace_binary_fn_aten_remainder_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4179847Z test_inplace_binary_fn_aten_sub_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4180120Z test_inplace_binary_fn_aten_subtract_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4180447Z test_inplace_binary_fn_aten_true_divide_ (__main__.TestBinary) ... ok (0.002s) 2022-12-01T10:59:49.4180954Z test_masks_match_fn_name_add (__main__.TestBinary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_masks_match test_maskedtensor.py line 488 2022-12-01T10:59:49.4181257Z due to: 2022-12-01T10:59:49.4181427Z Traceback (most recent call last): 2022-12-01T10:59:49.4181822Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4182261Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4182907Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[ 1.3452e-43, 0.0000e+00, 8.0855e-43, 0.0000e+00, -1.3094e+09, 2022-12-01T10:59:49.4183387Z 3.0922e-41, -1.7396e+09, 3.0922e-41, 1.4013e-45, 0.0000e+00], 2022-12-01T10:59:49.4183690Z [ 0.0000e+00, 0.0000e+00, -1.1104e+07, 4.5807e-41, 7.4129e-43, 2022-12-01T10:59:49.4183989Z 0.0000e+00, -1.7163e+09, 3.0922e-41, -1.5016e+09, 3.0922e-41], 2022-12-01T10:59:49.4184277Z [-7.0152e-01, 1.0367e+00, -6.0367e-01, -1.2788e+00, 1.2390e-01, 2022-12-01T10:59:49.4184577Z 1.1648e+00, 9.2337e-01, 1.3873e+00, 1.3750e+00, 6.5963e-01], 2022-12-01T10:59:49.4184871Z [ 4.7656e-01, -1.0163e+00, 6.1036e-01, 4.6688e-01, 1.9507e+00, 2022-12-01T10:59:49.4185156Z -1.0631e+00, 1.1404e+00, -8.9882e-02, 7.2980e-01, -1.8453e+00], 2022-12-01T10:59:49.4185459Z [-1.0209e-01, -1.0335e+00, -3.1264e-01, 2.4579e-01, 3.7718e-01, 2022-12-01T10:59:49.4185757Z 1.1012e+00, -1.1428e+00, 3.7585e-02, 2.8858e-01, 3.8660e-01], 2022-12-01T10:59:49.4186053Z [-2.0106e-01, -1.1793e-01, -8.2937e-01, -1.4073e+00, 1.6268e+00, 2022-12-01T10:59:49.4186344Z 1.7227e-01, -7.0429e-01, 3.1472e-01, 1.5739e-01, 3.8536e-01], 2022-12-01T10:59:49.4186642Z [ 5.7365e-01, 9.9793e-01, 5.4361e-01, 7.8804e-02, 9.9846e-01, 2022-12-01T10:59:49.4186940Z -4.9871e-01, 7.6111e-01, 6.1830e-01, -2.9938e-01, -1.8778e-01], 2022-12-01T10:59:49.4187227Z [ 1.9159e+00, 6.9020e-01, -3.1403e-01, -1.0787e+00, 2.4081e-01, 2022-12-01T10:59:49.4187620Z -1.3962e+00, 1.1355e-01, 1.1047e+00, -1.3952e+00, 4.7512e-01], 2022-12-01T10:59:49.4188094Z [ 1.0811e+00, 1.3148e-01, 1.5735e+00, 7.8143e-01, 9.8744e-01, 2022-12-01T10:59:49.4188595Z -1.4878e+00, 5.8669e-01, 1.5830e-01, 6.6678e-01, -9.9439e-01], 2022-12-01T10:59:49.4189091Z [-1.1894e+00, -1.1959e+00, 1.3119e+00, -2.0984e-01, 7.8173e-01, 2022-12-01T10:59:49.4189789Z 9.8969e-01, 1.7151e-01, 8.7604e-01, -2.8709e-01, 1.0216e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(10, 10)), cpu)), **{}) 2022-12-01T10:59:49.4190112Z 2022-12-01T10:59:49.4190231Z from user code: 2022-12-01T10:59:49.4190596Z File "test_maskedtensor.py", line 495, in test_masks_match 2022-12-01T10:59:49.4191001Z mt0 = masked_tensor(data0, mask0) 2022-12-01T10:59:49.4191228Z 2022-12-01T10:59:49.4191460Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4191845Z ========== 2022-12-01T10:59:49.4193098Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4194219Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4194615Z ok (0.015s) 2022-12-01T10:59:49.4195002Z test_masks_match_fn_name_add_ (__main__.TestBinary) ... ok (0.001s) 2022-12-01T10:59:49.4196696Z test_binary_core_add_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4197836Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4198931Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4199706Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4201082Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4202088Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4203177Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4203981Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4205361Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4206395Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4207779Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4208324Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4209159Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4209725Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4210491Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4211035Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4211624Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4212171Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4212913Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4213460Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4214105Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4214531Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4215279Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4215808Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4216395Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4216824Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4217576Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4218120Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4218696Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4219121Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4219868Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4220408Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4220984Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4221409Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4221626Z ok (0.131s) 2022-12-01T10:59:49.4222477Z test_binary_core_add_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4223089Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4223682Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4224151Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4224896Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4225432Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4226037Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4226468Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4227216Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4227755Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4228330Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4228755Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4229503Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4230041Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4230626Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4231036Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4231789Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4232329Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4232914Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4233325Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4234076Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4234613Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4235200Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4235628Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4236398Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4236937Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4237551Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4237975Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4238180Z ok (0.103s) 2022-12-01T10:59:49.4239021Z test_binary_core_add_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4239646Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4240233Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4240655Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4241389Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4241925Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4242513Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4242937Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4243672Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4244203Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4244791Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4245217Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4245965Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4246573Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4247328Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4247808Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4248565Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4249104Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4249721Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4250146Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4250359Z ok (0.072s) 2022-12-01T10:59:49.4250612Z test_binary_core_add_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4250973Z test_binary_core_add_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4251321Z test_binary_core_add_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4251667Z test_binary_core_add_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4251993Z test_binary_core_add_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4252338Z test_binary_core_add_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4252689Z test_binary_core_atan2_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4253042Z test_binary_core_atan2_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4253375Z test_binary_core_atan2_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4253721Z test_binary_core_atan2_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4254065Z test_binary_core_atan2_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4254395Z test_binary_core_atan2_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4254753Z test_binary_core_div_floor_rounding_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4255136Z test_binary_core_div_floor_rounding_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4255509Z test_binary_core_div_floor_rounding_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4255864Z test_binary_core_div_floor_rounding_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4256235Z test_binary_core_div_floor_rounding_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4256601Z test_binary_core_div_floor_rounding_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4256970Z test_binary_core_div_floor_rounding_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4257328Z test_binary_core_div_floor_rounding_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4257699Z test_binary_core_div_floor_rounding_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4258075Z test_binary_core_div_no_rounding_mode_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4258455Z test_binary_core_div_no_rounding_mode_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4258848Z test_binary_core_div_no_rounding_mode_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4259223Z test_binary_core_div_no_rounding_mode_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4259594Z test_binary_core_div_no_rounding_mode_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4259962Z test_binary_core_div_no_rounding_mode_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4260354Z test_binary_core_div_no_rounding_mode_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4260728Z test_binary_core_div_no_rounding_mode_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4261095Z test_binary_core_div_no_rounding_mode_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4261467Z test_binary_core_div_trunc_rounding_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4261831Z test_binary_core_div_trunc_rounding_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4262206Z test_binary_core_div_trunc_rounding_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4262573Z test_binary_core_div_trunc_rounding_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4262924Z test_binary_core_div_trunc_rounding_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4263284Z test_binary_core_div_trunc_rounding_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4263657Z test_binary_core_div_trunc_rounding_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4264033Z test_binary_core_div_trunc_rounding_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4264389Z test_binary_core_div_trunc_rounding_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4264744Z test_binary_core_eq_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4265091Z test_binary_core_eq_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4265431Z test_binary_core_eq_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4265755Z test_binary_core_eq_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4266096Z test_binary_core_eq_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4266432Z test_binary_core_eq_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4266771Z test_binary_core_eq_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4267099Z test_binary_core_eq_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4267438Z test_binary_core_eq_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4267791Z test_binary_core_floor_divide_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4268144Z test_binary_core_floor_divide_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4268504Z test_binary_core_floor_divide_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4268853Z test_binary_core_floor_divide_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4269246Z test_binary_core_floor_divide_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4269592Z test_binary_core_floor_divide_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4269949Z test_binary_core_floor_divide_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4270307Z test_binary_core_floor_divide_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4270691Z test_binary_core_floor_divide_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4271028Z test_binary_core_fmax_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4271376Z test_binary_core_fmax_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4271718Z test_binary_core_fmax_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4272065Z test_binary_core_fmax_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4272393Z test_binary_core_fmax_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4272730Z test_binary_core_fmax_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4273072Z test_binary_core_fmax_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4273409Z test_binary_core_fmax_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4273752Z test_binary_core_fmax_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4274100Z test_binary_core_fmin_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4274445Z test_binary_core_fmin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4274775Z test_binary_core_fmin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4275115Z test_binary_core_fmin_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4275452Z test_binary_core_fmin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4275787Z test_binary_core_fmin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4276118Z test_binary_core_fmin_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4276460Z test_binary_core_fmin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4276800Z test_binary_core_fmin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4277131Z test_binary_core_fmod_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4277477Z test_binary_core_fmod_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4277816Z test_binary_core_fmod_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4278156Z test_binary_core_fmod_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4278482Z test_binary_core_fmod_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4278831Z test_binary_core_fmod_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4279172Z test_binary_core_fmod_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4279511Z test_binary_core_fmod_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4279869Z test_binary_core_fmod_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4280208Z test_binary_core_ge_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4280552Z test_binary_core_ge_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4280890Z test_binary_core_ge_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4281254Z test_binary_core_ge_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4281597Z test_binary_core_ge_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4281934Z test_binary_core_ge_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4282257Z test_binary_core_ge_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4282595Z test_binary_core_ge_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4282937Z test_binary_core_ge_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4283276Z test_binary_core_gt_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4283603Z test_binary_core_gt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4283942Z test_binary_core_gt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4284280Z test_binary_core_gt_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4284617Z test_binary_core_gt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4284937Z test_binary_core_gt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4285278Z test_binary_core_gt_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4285615Z test_binary_core_gt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4285939Z test_binary_core_gt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4286366Z test_binary_core_le_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4286715Z test_binary_core_le_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4287158Z test_binary_core_le_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4287482Z test_binary_core_le_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4287824Z test_binary_core_le_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4288161Z test_binary_core_le_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4288496Z test_binary_core_le_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4288821Z test_binary_core_le_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4289161Z test_binary_core_le_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4289504Z test_binary_core_lt_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4289828Z test_binary_core_lt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4290162Z test_binary_core_lt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4290558Z test_binary_core_lt_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4290892Z test_binary_core_lt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4291211Z test_binary_core_lt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4291552Z test_binary_core_lt_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4291892Z test_binary_core_lt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4292268Z test_binary_core_lt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4292605Z test_binary_core_maximum_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4292960Z test_binary_core_maximum_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4293315Z test_binary_core_maximum_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4293664Z test_binary_core_maximum_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4293998Z test_binary_core_maximum_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4294348Z test_binary_core_maximum_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4294699Z test_binary_core_maximum_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4295039Z test_binary_core_maximum_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4295388Z test_binary_core_maximum_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4295741Z test_binary_core_minimum_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4296095Z test_binary_core_minimum_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4296432Z test_binary_core_minimum_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4296784Z test_binary_core_minimum_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4297129Z test_binary_core_minimum_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4297475Z test_binary_core_minimum_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4297805Z test_binary_core_minimum_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4298153Z test_binary_core_minimum_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4298502Z test_binary_core_minimum_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4298834Z test_binary_core_mul_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4299183Z test_binary_core_mul_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4299526Z test_binary_core_mul_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4299867Z test_binary_core_mul_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4300197Z test_binary_core_mul_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4300536Z test_binary_core_mul_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4300875Z test_binary_core_mul_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4301244Z test_binary_core_mul_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4301571Z test_binary_core_mul_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4301909Z test_binary_core_ne_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4302247Z test_binary_core_ne_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4302583Z test_binary_core_ne_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4302934Z test_binary_core_ne_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4303277Z test_binary_core_ne_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4303615Z test_binary_core_ne_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4303940Z test_binary_core_ne_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4304279Z test_binary_core_ne_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4304615Z test_binary_core_ne_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4304965Z test_binary_core_nextafter_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4305316Z test_binary_core_nextafter_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4305676Z test_binary_core_nextafter_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4306031Z test_binary_core_nextafter_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4306381Z test_binary_core_nextafter_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4306721Z test_binary_core_nextafter_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4307071Z test_binary_core_remainder_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4307432Z test_binary_core_remainder_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4307778Z test_binary_core_remainder_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4308133Z test_binary_core_remainder_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4308486Z test_binary_core_remainder_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4308839Z test_binary_core_remainder_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4309177Z test_binary_core_remainder_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4309529Z test_binary_core_remainder_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4309873Z test_binary_core_remainder_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4310223Z test_binary_core_sub_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4310553Z test_binary_core_sub_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4310900Z test_binary_core_sub_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4311239Z test_binary_core_sub_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4311573Z test_binary_core_sub_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4311934Z test_binary_core_sub_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4312273Z test_binary_core_sub_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4312613Z test_binary_core_sub_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4312939Z test_binary_core_sub_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.005s) 2022-12-01T10:59:49.4313320Z test_binary_core_true_divide_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4313686Z test_binary_core_true_divide_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4314043Z test_binary_core_true_divide_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4314390Z test_binary_core_true_divide_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4314744Z test_binary_core_true_divide_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4315098Z test_binary_core_true_divide_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4315460Z test_binary_core_true_divide_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4315807Z test_binary_core_true_divide_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4316163Z test_binary_core_true_divide_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s) 2022-12-01T10:59:49.4316784Z test_reduction_all_amax_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_reduction_all test_maskedtensor.py line 893 2022-12-01T10:59:49.4317134Z due to: 2022-12-01T10:59:49.4317306Z Traceback (most recent call last): 2022-12-01T10:59:49.4317600Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/functions.py", line 34, in wrap_bound_arg 2022-12-01T10:59:49.4317917Z assert isinstance(val, VariableTracker), typestr(val) 2022-12-01T10:59:49.4318135Z AssertionError: layout 2022-12-01T10:59:49.4318257Z 2022-12-01T10:59:49.4318329Z from user code: 2022-12-01T10:59:49.4318557Z File "test_maskedtensor.py", line 900, in test_reduction_all 2022-12-01T10:59:49.4318818Z self._test_reduction_equality(device, dtype, op, layout) 2022-12-01T10:59:49.4318967Z 2022-12-01T10:59:49.4319099Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4319315Z ========== 2022-12-01T10:59:49.4320024Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4320569Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4321161Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4335695Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4336019Z ok (0.024s) 2022-12-01T10:59:49.4336924Z test_reduction_all_amax_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4337666Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4338269Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4338706Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4338918Z ok (0.015s) 2022-12-01T10:59:49.4339812Z test_reduction_all_amax_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4340435Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4341036Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4341466Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4341670Z ok (0.015s) 2022-12-01T10:59:49.4341944Z test_reduction_all_amax_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4342306Z test_reduction_all_amax_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4342651Z test_reduction_all_amax_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4343003Z test_reduction_all_amax_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.009s) 2022-12-01T10:59:49.4343352Z test_reduction_all_amax_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.009s) 2022-12-01T10:59:49.4343703Z test_reduction_all_amax_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.009s) 2022-12-01T10:59:49.4344041Z test_reduction_all_amin_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.012s) 2022-12-01T10:59:49.4344392Z test_reduction_all_amin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.011s) 2022-12-01T10:59:49.4344745Z test_reduction_all_amin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.011s) 2022-12-01T10:59:49.4345085Z test_reduction_all_amin_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4345433Z test_reduction_all_amin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4345775Z test_reduction_all_amin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4346126Z test_reduction_all_amin_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.009s) 2022-12-01T10:59:49.4346460Z test_reduction_all_amin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.009s) 2022-12-01T10:59:49.4346804Z test_reduction_all_amin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.009s) 2022-12-01T10:59:49.4347155Z test_reduction_all_argmax_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.008s) 2022-12-01T10:59:49.4347513Z test_reduction_all_argmax_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.008s) 2022-12-01T10:59:49.4347854Z test_reduction_all_argmax_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.008s) 2022-12-01T10:59:49.4348210Z test_reduction_all_argmax_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4348558Z test_reduction_all_argmax_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4348938Z test_reduction_all_argmax_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4349276Z test_reduction_all_argmax_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4349627Z test_reduction_all_argmax_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4349978Z test_reduction_all_argmax_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.007s) 2022-12-01T10:59:49.4350350Z test_reduction_all_argmin_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.007s) 2022-12-01T10:59:49.4350705Z test_reduction_all_argmin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.008s) 2022-12-01T10:59:49.4351059Z test_reduction_all_argmin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.008s) 2022-12-01T10:59:49.4351412Z test_reduction_all_argmin_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4351745Z test_reduction_all_argmin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4352103Z test_reduction_all_argmin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4352452Z test_reduction_all_argmin_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4352801Z test_reduction_all_argmin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4353140Z test_reduction_all_argmin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.007s) 2022-12-01T10:59:49.4353492Z test_reduction_all_prod_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.022s) 2022-12-01T10:59:49.4353846Z test_reduction_all_prod_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.023s) 2022-12-01T10:59:49.4354202Z test_reduction_all_prod_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4354540Z test_reduction_all_prod_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4354885Z test_reduction_all_prod_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.018s) 2022-12-01T10:59:49.4355231Z test_reduction_all_prod_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.019s) 2022-12-01T10:59:49.4355570Z test_reduction_all_sum_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.012s) 2022-12-01T10:59:49.4355923Z test_reduction_all_sum_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.012s) 2022-12-01T10:59:49.4356269Z test_reduction_all_sum_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.011s) 2022-12-01T10:59:49.4356617Z test_reduction_all_sum_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4356950Z test_reduction_all_sum_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4357293Z test_reduction_all_sum_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s) 2022-12-01T10:59:49.4357635Z test_reduction_all_sum_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.010s) 2022-12-01T10:59:49.4357978Z test_reduction_all_sum_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.010s) 2022-12-01T10:59:49.4358301Z test_reduction_all_sum_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.009s) 2022-12-01T10:59:49.4359228Z test_unary_core_abs_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4359887Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4360478Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4360891Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4361102Z ok (0.016s) 2022-12-01T10:59:49.4361986Z test_unary_core_abs_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4362607Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4363191Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4363598Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4363815Z ok (0.005s) 2022-12-01T10:59:49.4364655Z test_unary_core_abs_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4365275Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4365850Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4366348Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4366567Z ok (0.005s) 2022-12-01T10:59:49.4366832Z test_unary_core_abs_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4367301Z test_unary_core_abs_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4367643Z test_unary_core_abs_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4367983Z test_unary_core_abs_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4368306Z test_unary_core_abs_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4368640Z test_unary_core_abs_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4368989Z test_unary_core_acos_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4369338Z test_unary_core_acos_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4369673Z test_unary_core_acos_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4370020Z test_unary_core_acos_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4370365Z test_unary_core_acos_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4370707Z test_unary_core_acos_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4371095Z test_unary_core_acosh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4371446Z test_unary_core_acosh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4371795Z test_unary_core_acosh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4372143Z test_unary_core_acosh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4372473Z test_unary_core_acosh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4372853Z test_unary_core_acosh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4373199Z test_unary_core_angle_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4373533Z test_unary_core_angle_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4373878Z test_unary_core_angle_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4374220Z test_unary_core_angle_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4374564Z test_unary_core_angle_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4374895Z test_unary_core_angle_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4375237Z test_unary_core_angle_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4375581Z test_unary_core_angle_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4375926Z test_unary_core_angle_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4376256Z test_unary_core_asin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4376602Z test_unary_core_asin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4376946Z test_unary_core_asin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4377280Z test_unary_core_asin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4377625Z test_unary_core_asin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4377963Z test_unary_core_asin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4378307Z test_unary_core_asinh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4378640Z test_unary_core_asinh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4378983Z test_unary_core_asinh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4379323Z test_unary_core_asinh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4379664Z test_unary_core_asinh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4379988Z test_unary_core_asinh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4380328Z test_unary_core_atan_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4380675Z test_unary_core_atan_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4381003Z test_unary_core_atan_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4381341Z test_unary_core_atan_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4381681Z test_unary_core_atan_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4382051Z test_unary_core_atan_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4382377Z test_unary_core_atanh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4382720Z test_unary_core_atanh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4383057Z test_unary_core_atanh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4383430Z test_unary_core_atanh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4383762Z test_unary_core_atanh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4384100Z test_unary_core_atanh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4384449Z test_unary_core_ceil_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4384898Z test_unary_core_ceil_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4385234Z test_unary_core_ceil_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4385578Z test_unary_core_ceil_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4385923Z test_unary_core_ceil_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4386248Z test_unary_core_ceil_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4386605Z test_unary_core_conj_physical_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4386971Z test_unary_core_conj_physical_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4387336Z test_unary_core_conj_physical_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4387683Z test_unary_core_conj_physical_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4388042Z test_unary_core_conj_physical_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4388403Z test_unary_core_conj_physical_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4388767Z test_unary_core_conj_physical_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4389115Z test_unary_core_conj_physical_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4389474Z test_unary_core_conj_physical_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4389824Z test_unary_core_cos_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4390154Z test_unary_core_cos_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4390485Z test_unary_core_cos_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4390822Z test_unary_core_cos_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4391157Z test_unary_core_cos_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4391480Z test_unary_core_cos_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4391827Z test_unary_core_cosh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4392170Z test_unary_core_cosh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4392547Z test_unary_core_cosh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4392881Z test_unary_core_cosh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4393221Z test_unary_core_cosh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4393556Z test_unary_core_cosh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4393903Z test_unary_core_deg2rad_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4394273Z test_unary_core_deg2rad_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4394620Z test_unary_core_deg2rad_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4394974Z test_unary_core_deg2rad_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4395350Z test_unary_core_deg2rad_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4395753Z test_unary_core_deg2rad_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4396099Z test_unary_core_deg2rad_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4396446Z test_unary_core_deg2rad_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4396784Z test_unary_core_deg2rad_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4397134Z test_unary_core_digamma_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4397484Z test_unary_core_digamma_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4397831Z test_unary_core_digamma_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4398173Z test_unary_core_digamma_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4398521Z test_unary_core_digamma_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4398866Z test_unary_core_digamma_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4399209Z test_unary_core_erf_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4399542Z test_unary_core_erf_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4399879Z test_unary_core_erf_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4400209Z test_unary_core_erf_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4400532Z test_unary_core_erf_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4400864Z test_unary_core_erf_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4401206Z test_unary_core_erfc_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4401550Z test_unary_core_erfc_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4401881Z test_unary_core_erfc_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4402224Z test_unary_core_erfc_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4402563Z test_unary_core_erfc_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4402902Z test_unary_core_erfc_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4403268Z test_unary_core_erfinv_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4403619Z test_unary_core_erfinv_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4403967Z test_unary_core_erfinv_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4404301Z test_unary_core_erfinv_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4404645Z test_unary_core_erfinv_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4405013Z test_unary_core_erfinv_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4405352Z test_unary_core_exp2_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4405680Z test_unary_core_exp2_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4406022Z test_unary_core_exp2_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4406437Z test_unary_core_exp2_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4406781Z test_unary_core_exp2_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4407218Z test_unary_core_exp2_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4407562Z test_unary_core_exp2_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4407901Z test_unary_core_exp2_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4408228Z test_unary_core_exp2_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4408570Z test_unary_core_exp_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4408916Z test_unary_core_exp_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4409247Z test_unary_core_exp_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4409566Z test_unary_core_exp_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4409911Z test_unary_core_exp_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4410248Z test_unary_core_exp_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4410594Z test_unary_core_expm1_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4410928Z test_unary_core_expm1_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4411272Z test_unary_core_expm1_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4411615Z test_unary_core_expm1_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4411951Z test_unary_core_expm1_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4412294Z test_unary_core_expm1_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4412637Z test_unary_core_floor_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4412982Z test_unary_core_floor_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4413311Z test_unary_core_floor_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4413475Z test_unary_core_floor_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4413700Z test_unary_core_floor_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4413859Z test_unary_core_floor_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4414025Z test_unary_core_frac_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4414184Z test_unary_core_frac_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4414348Z test_unary_core_frac_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4414552Z test_unary_core_frac_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4414719Z test_unary_core_frac_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4414866Z test_unary_core_frac_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4415030Z test_unary_core_frac_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4415186Z test_unary_core_frac_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4415340Z test_unary_core_frac_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4415498Z test_unary_core_i0_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4415653Z test_unary_core_i0_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4415817Z test_unary_core_i0_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4415973Z test_unary_core_i0_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4416117Z test_unary_core_i0_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4416276Z test_unary_core_i0_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4416441Z test_unary_core_isnan_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4416601Z test_unary_core_isnan_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4416766Z test_unary_core_isnan_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4416933Z test_unary_core_isnan_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4417097Z test_unary_core_isnan_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4417259Z test_unary_core_isnan_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4417422Z test_unary_core_isnan_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4417571Z test_unary_core_isnan_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4417727Z test_unary_core_isnan_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4417895Z test_unary_core_lgamma_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4418064Z test_unary_core_lgamma_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4418227Z test_unary_core_lgamma_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4418391Z test_unary_core_lgamma_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4418557Z test_unary_core_lgamma_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4418715Z test_unary_core_lgamma_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4418907Z test_unary_core_log10_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4419053Z test_unary_core_log10_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4419212Z test_unary_core_log10_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4419374Z test_unary_core_log10_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4419574Z test_unary_core_log10_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4419731Z test_unary_core_log10_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4419893Z test_unary_core_log1p_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4420058Z test_unary_core_log1p_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4420218Z test_unary_core_log1p_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4420380Z test_unary_core_log1p_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4420530Z test_unary_core_log1p_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4420692Z test_unary_core_log1p_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4420854Z test_unary_core_log2_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4421018Z test_unary_core_log2_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4421180Z test_unary_core_log2_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4421344Z test_unary_core_log2_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4421502Z test_unary_core_log2_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4421659Z test_unary_core_log2_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4421822Z test_unary_core_log_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4421968Z test_unary_core_log_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4422126Z test_unary_core_log_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4422291Z test_unary_core_log_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4422451Z test_unary_core_log_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4422610Z test_unary_core_log_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4423387Z test_unary_core_logit_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4423528Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4423965Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4424093Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4424188Z ok (0.010s) 2022-12-01T10:59:49.4424343Z test_unary_core_logit_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4424508Z test_unary_core_logit_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4424672Z test_unary_core_logit_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4424836Z test_unary_core_logit_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4425036Z test_unary_core_logit_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s) 2022-12-01T10:59:49.4425207Z test_unary_core_nan_to_num_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4425378Z test_unary_core_nan_to_num_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4425548Z test_unary_core_nan_to_num_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4425712Z test_unary_core_nan_to_num_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4425863Z test_unary_core_nan_to_num_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4426026Z test_unary_core_nan_to_num_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4426193Z test_unary_core_nan_to_num_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4426360Z test_unary_core_nan_to_num_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4426525Z test_unary_core_nan_to_num_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4426693Z test_unary_core_neg_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4426852Z test_unary_core_neg_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4427011Z test_unary_core_neg_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4427166Z test_unary_core_neg_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4427309Z test_unary_core_neg_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4427463Z test_unary_core_neg_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4427622Z test_unary_core_neg_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4427783Z test_unary_core_neg_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4427937Z test_unary_core_neg_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4428112Z test_unary_core_positive_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4428282Z test_unary_core_positive_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4428447Z test_unary_core_positive_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4428616Z test_unary_core_positive_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4428776Z test_unary_core_positive_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4428940Z test_unary_core_positive_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4429107Z test_unary_core_positive_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4429300Z test_unary_core_positive_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4429461Z test_unary_core_positive_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4429629Z test_unary_core_rad2deg_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4429800Z test_unary_core_rad2deg_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4429965Z test_unary_core_rad2deg_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4430161Z test_unary_core_rad2deg_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4430311Z test_unary_core_rad2deg_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4430473Z test_unary_core_rad2deg_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4430642Z test_unary_core_rad2deg_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4430807Z test_unary_core_rad2deg_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4430970Z test_unary_core_rad2deg_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4431143Z test_unary_core_reciprocal_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4431319Z test_unary_core_reciprocal_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4431486Z test_unary_core_reciprocal_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4431655Z test_unary_core_reciprocal_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4431811Z test_unary_core_reciprocal_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4431981Z test_unary_core_reciprocal_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4432149Z test_unary_core_reciprocal_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4432316Z test_unary_core_reciprocal_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4432483Z test_unary_core_reciprocal_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4432664Z test_unary_core_round_decimals_0_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4432837Z test_unary_core_round_decimals_0_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4433005Z test_unary_core_round_decimals_0_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4433172Z test_unary_core_round_decimals_0_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4433348Z test_unary_core_round_decimals_0_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4433510Z test_unary_core_round_decimals_0_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4433685Z test_unary_core_round_decimals_3_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4433857Z test_unary_core_round_decimals_3_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4434024Z test_unary_core_round_decimals_3_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4434196Z test_unary_core_round_decimals_3_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4434393Z test_unary_core_round_decimals_3_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4434566Z test_unary_core_round_decimals_3_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4434747Z test_unary_core_round_decimals_neg_3_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4434926Z test_unary_core_round_decimals_neg_3_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4435120Z test_unary_core_round_decimals_neg_3_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4435302Z test_unary_core_round_decimals_neg_3_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4435479Z test_unary_core_round_decimals_neg_3_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4435660Z test_unary_core_round_decimals_neg_3_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4435827Z test_unary_core_round_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4435995Z test_unary_core_round_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4436159Z test_unary_core_round_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4436324Z test_unary_core_round_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4436486Z test_unary_core_round_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4436634Z test_unary_core_round_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4436792Z test_unary_core_rsqrt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4436956Z test_unary_core_rsqrt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4437116Z test_unary_core_rsqrt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4437271Z test_unary_core_rsqrt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4437434Z test_unary_core_rsqrt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4437594Z test_unary_core_rsqrt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4437755Z test_unary_core_sgn_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4437913Z test_unary_core_sgn_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4438065Z test_unary_core_sgn_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4438225Z test_unary_core_sgn_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4438379Z test_unary_core_sgn_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4438532Z test_unary_core_sgn_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4438691Z test_unary_core_sgn_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4438853Z test_unary_core_sgn_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4439009Z test_unary_core_sgn_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4439177Z test_unary_core_sigmoid_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4439377Z test_unary_core_sigmoid_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4439532Z test_unary_core_sigmoid_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4439692Z test_unary_core_sigmoid_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4439857Z test_unary_core_sigmoid_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4440022Z test_unary_core_sigmoid_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4440220Z test_unary_core_sign_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4440389Z test_unary_core_sign_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4440549Z test_unary_core_sign_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4440712Z test_unary_core_sign_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4440874Z test_unary_core_sign_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4441021Z test_unary_core_sign_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4441182Z test_unary_core_sign_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4441345Z test_unary_core_sign_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4441501Z test_unary_core_sign_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4441665Z test_unary_core_signbit_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4441830Z test_unary_core_signbit_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4441997Z test_unary_core_signbit_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4442158Z test_unary_core_signbit_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4442323Z test_unary_core_signbit_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4442472Z test_unary_core_signbit_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4442637Z test_unary_core_signbit_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4442803Z test_unary_core_signbit_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4442959Z test_unary_core_signbit_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4443124Z test_unary_core_sin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4443281Z test_unary_core_sin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4443438Z test_unary_core_sin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4443592Z test_unary_core_sin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4443751Z test_unary_core_sin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4443896Z test_unary_core_sin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4444058Z test_unary_core_sinc_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4444220Z test_unary_core_sinc_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4444410Z test_unary_core_sinc_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4444567Z test_unary_core_sinc_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4444727Z test_unary_core_sinc_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4444882Z test_unary_core_sinc_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4445043Z test_unary_core_sinh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4445233Z test_unary_core_sinh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4445379Z test_unary_core_sinh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4445540Z test_unary_core_sinh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4445701Z test_unary_core_sinh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4445857Z test_unary_core_sinh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4446018Z test_unary_core_sqrt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4446174Z test_unary_core_sqrt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4446425Z test_unary_core_sqrt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4446586Z test_unary_core_sqrt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4446750Z test_unary_core_sqrt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4446894Z test_unary_core_sqrt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4447154Z test_unary_core_square_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4447323Z test_unary_core_square_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4447489Z test_unary_core_square_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4447656Z test_unary_core_square_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4447821Z test_unary_core_square_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4447982Z test_unary_core_square_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4448146Z test_unary_core_square_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4448305Z test_unary_core_square_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4448449Z test_unary_core_square_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4448606Z test_unary_core_tan_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4448769Z test_unary_core_tan_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4448929Z test_unary_core_tan_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4449086Z test_unary_core_tan_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4449245Z test_unary_core_tan_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4449400Z test_unary_core_tan_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4449615Z test_unary_core_tanh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4449777Z test_unary_core_tanh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4449930Z test_unary_core_tanh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4450093Z test_unary_core_tanh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4450255Z test_unary_core_tanh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4450453Z test_unary_core_tanh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s) 2022-12-01T10:59:49.4450621Z test_unary_core_trunc_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4450790Z test_unary_core_trunc_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4450955Z test_unary_core_trunc_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4451119Z test_unary_core_trunc_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4451283Z test_unary_core_trunc_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4451430Z test_unary_core_trunc_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s) 2022-12-01T10:59:49.4451752Z test_all (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_all test_maskedtensor.py line 738 2022-12-01T10:59:49.4451818Z due to: 2022-12-01T10:59:49.4451910Z Traceback (most recent call last): 2022-12-01T10:59:49.4452183Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4452422Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4452853Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[ True, True, True, True], 2022-12-01T10:59:49.4453123Z [ True, True, False, False]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 4), dtype=torch.bool), cpu)), **{}) 2022-12-01T10:59:49.4453131Z 2022-12-01T10:59:49.4453204Z from user code: 2022-12-01T10:59:49.4453306Z File "test_maskedtensor.py", line 741, in test_all 2022-12-01T10:59:49.4453387Z mt = masked_tensor(d, m) 2022-12-01T10:59:49.4453394Z 2022-12-01T10:59:49.4453531Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4453595Z ========== 2022-12-01T10:59:49.4454199Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4454338Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4454403Z ok (0.008s) 2022-12-01T10:59:49.4454703Z test_amax (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_amax test_maskedtensor.py line 678 2022-12-01T10:59:49.4454756Z due to: 2022-12-01T10:59:49.4454848Z Traceback (most recent call last): 2022-12-01T10:59:49.4455114Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4455349Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4455795Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[0.0000e+00, 0.0000e+00, 1.4013e-45, 0.0000e+00], 2022-12-01T10:59:49.4456090Z [1.4013e-45, 0.0000e+00, 3.1529e-43, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 4)), cpu)), **{}) 2022-12-01T10:59:49.4456095Z 2022-12-01T10:59:49.4456164Z from user code: 2022-12-01T10:59:49.4456279Z File "test_maskedtensor.py", line 681, in test_amax 2022-12-01T10:59:49.4456359Z mt = masked_tensor(d, m) 2022-12-01T10:59:49.4456364Z 2022-12-01T10:59:49.4456482Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4456543Z ========== 2022-12-01T10:59:49.4457177Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4457315Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4457382Z ok (0.007s) 2022-12-01T10:59:49.4457698Z test_amax_grad (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_amax_grad test_maskedtensor.py line 691 2022-12-01T10:59:49.4457761Z due to: 2022-12-01T10:59:49.4457852Z Traceback (most recent call last): 2022-12-01T10:59:49.4458106Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4458340Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4458781Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3225e+13, 4.5807e-41, -1.7692e+09], 2022-12-01T10:59:49.4459027Z [ 3.0922e-41, 4.4842e-44, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4459032Z 2022-12-01T10:59:49.4459105Z from user code: 2022-12-01T10:59:49.4459226Z File "test_maskedtensor.py", line 694, in test_amax_grad 2022-12-01T10:59:49.4459330Z mt = masked_tensor(d, m, requires_grad=True) 2022-12-01T10:59:49.4459335Z 2022-12-01T10:59:49.4459465Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4459528Z ========== 2022-12-01T10:59:49.4460128Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4460252Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4460679Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4460808Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4460874Z ok (0.007s) 2022-12-01T10:59:49.4461177Z test_amin (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_amin test_maskedtensor.py line 698 2022-12-01T10:59:49.4461240Z due to: 2022-12-01T10:59:49.4461331Z Traceback (most recent call last): 2022-12-01T10:59:49.4461592Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4461815Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4462271Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.2038e+09, 3.0922e-41, -1.7464e+09, 3.0922e-41], 2022-12-01T10:59:49.4462534Z [ 0.0000e+00, 0.0000e+00, 1.4013e-45, 6.9983e+28]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 4)), cpu)), **{}) 2022-12-01T10:59:49.4462568Z 2022-12-01T10:59:49.4462641Z from user code: 2022-12-01T10:59:49.4462755Z File "test_maskedtensor.py", line 701, in test_amin 2022-12-01T10:59:49.4462835Z mt = masked_tensor(d, m) 2022-12-01T10:59:49.4462840Z 2022-12-01T10:59:49.4462968Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4463029Z ========== 2022-12-01T10:59:49.4463671Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4463807Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4463861Z ok (0.006s) 2022-12-01T10:59:49.4464173Z test_amin_grad (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_amin_grad test_maskedtensor.py line 711 2022-12-01T10:59:49.4464238Z due to: 2022-12-01T10:59:49.4464330Z Traceback (most recent call last): 2022-12-01T10:59:49.4464592Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4464829Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4465263Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3225e+13, 4.5807e-41, -1.2484e+09], 2022-12-01T10:59:49.4465507Z [ 3.0922e-41, 1.4013e-45, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4465513Z 2022-12-01T10:59:49.4465584Z from user code: 2022-12-01T10:59:49.4465692Z File "test_maskedtensor.py", line 714, in test_amin_grad 2022-12-01T10:59:49.4465800Z mt = masked_tensor(d, m, requires_grad=True) 2022-12-01T10:59:49.4465806Z 2022-12-01T10:59:49.4465936Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4466001Z ========== 2022-12-01T10:59:49.4466603Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4466738Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4467173Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4467300Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4467370Z ok (0.007s) 2022-12-01T10:59:49.4468026Z test_grad_dtype (__main__.TestReductions) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4468160Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4468225Z ok (0.011s) 2022-12-01T10:59:49.4468580Z test_max_not_implemented (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_max_not_implemented test_maskedtensor.py line 507 2022-12-01T10:59:49.4468644Z due to: 2022-12-01T10:59:49.4468734Z Traceback (most recent call last): 2022-12-01T10:59:49.4468996Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4469264Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4469696Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.7231e+09, 3.0922e-41, -1.7161e+09], 2022-12-01T10:59:49.4469928Z [ 3.0922e-41, 0.0000e+00, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4469945Z 2022-12-01T10:59:49.4470003Z from user code: 2022-12-01T10:59:49.4470167Z File "test_maskedtensor.py", line 510, in test_max_not_implemented 2022-12-01T10:59:49.4470250Z mt = masked_tensor(d, m) 2022-12-01T10:59:49.4470255Z 2022-12-01T10:59:49.4470384Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4470446Z ========== 2022-12-01T10:59:49.4471045Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4471184Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4471514Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:299: UserWarning: max is not implemented in __torch_dispatch__ for MaskedTensor. 2022-12-01T10:59:49.4471796Z If you would like this operator to be supported, please file an issue for a feature request at https://github.com/pytorch/maskedtensor/issues with a minimal reproducible code snippet. 2022-12-01T10:59:49.4471993Z In the case that the semantics for the operator are not trivial, it would be appreciated to also include a proposal for the semantics. 2022-12-01T10:59:49.4472073Z warnings.warn(msg) 2022-12-01T10:59:49.4472142Z ok (0.005s) 2022-12-01T10:59:49.4472439Z test_mean (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mean test_maskedtensor.py line 534 2022-12-01T10:59:49.4472506Z due to: 2022-12-01T10:59:49.4472597Z Traceback (most recent call last): 2022-12-01T10:59:49.4472861Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4473094Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4473533Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.7231e+09, 3.0922e-41, -1.7437e+09, 3.0922e-41], 2022-12-01T10:59:49.4473801Z [ 1.0000e-08, 1.0000e-08, -1.7482e+09, 3.0922e-41]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 4)), cpu)), **{}) 2022-12-01T10:59:49.4473807Z 2022-12-01T10:59:49.4473879Z from user code: 2022-12-01T10:59:49.4473994Z File "test_maskedtensor.py", line 537, in test_mean 2022-12-01T10:59:49.4474074Z mt = masked_tensor(d, m) 2022-12-01T10:59:49.4474080Z 2022-12-01T10:59:49.4474209Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4474272Z ========== 2022-12-01T10:59:49.4474874Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4475015Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4475071Z ok (0.007s) 2022-12-01T10:59:49.4475395Z test_mean_dim_grad (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mean_dim_grad test_maskedtensor.py line 671 2022-12-01T10:59:49.4475490Z due to: 2022-12-01T10:59:49.4475583Z Traceback (most recent call last): 2022-12-01T10:59:49.4475846Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4476078Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4476509Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.7464e+09, 3.0922e-41, -1.3325e+09], 2022-12-01T10:59:49.4476787Z [ 3.0922e-41, 0.0000e+00, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4476793Z 2022-12-01T10:59:49.4476865Z from user code: 2022-12-01T10:59:49.4476978Z File "test_maskedtensor.py", line 674, in test_mean_dim_grad 2022-12-01T10:59:49.4477083Z mt = masked_tensor(d, m, requires_grad=True) 2022-12-01T10:59:49.4477091Z 2022-12-01T10:59:49.4477221Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4477283Z ========== 2022-12-01T10:59:49.4477887Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4478023Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4478452Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4478581Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4478646Z ok (0.007s) 2022-12-01T10:59:49.4478744Z test_mean_grad_case_1a (__main__.TestReductions) 2022-12-01T10:59:49.4479390Z values.requires_grad = True ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4479528Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4479954Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4480079Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4480144Z ok (0.016s) 2022-12-01T10:59:49.4480254Z test_mean_grad_case_1b (__main__.TestReductions) 2022-12-01T10:59:49.4480562Z values.requires_grad = False ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mean_grad_case_1b test_maskedtensor.py line 609 2022-12-01T10:59:49.4480626Z due to: 2022-12-01T10:59:49.4480705Z Traceback (most recent call last): 2022-12-01T10:59:49.4480972Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4481207Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4481643Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[2.8026e-45, 0.0000e+00, 4.2039e-45], 2022-12-01T10:59:49.4481886Z [0.0000e+00, 0.0000e+00, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4481891Z 2022-12-01T10:59:49.4481961Z from user code: 2022-12-01T10:59:49.4482088Z File "test_maskedtensor.py", line 615, in test_mean_grad_case_1b 2022-12-01T10:59:49.4482222Z mt = masked_tensor(d, m, requires_grad=True) 2022-12-01T10:59:49.4482227Z 2022-12-01T10:59:49.4482359Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4482408Z ========== 2022-12-01T10:59:49.4483004Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4483167Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4483600Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4483727Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4483795Z ok (0.007s) 2022-12-01T10:59:49.4483904Z test_mean_grad_case_1c (__main__.TestReductions) 2022-12-01T10:59:49.4484550Z values.requires_grad = True ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4484684Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4484752Z ok (0.013s) 2022-12-01T10:59:49.4484849Z test_mean_grad_case_1d (__main__.TestReductions) 2022-12-01T10:59:49.4485158Z values.requires_grad = False ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mean_grad_case_1d test_maskedtensor.py line 634 2022-12-01T10:59:49.4485223Z due to: 2022-12-01T10:59:49.4485314Z Traceback (most recent call last): 2022-12-01T10:59:49.4485580Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4485813Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4486332Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3225e+13, 4.5807e-41, -1.7761e+09], 2022-12-01T10:59:49.4486583Z [ 3.0922e-41, 1.4013e-45, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4486591Z 2022-12-01T10:59:49.4486665Z from user code: 2022-12-01T10:59:49.4486782Z File "test_maskedtensor.py", line 640, in test_mean_grad_case_1d 2022-12-01T10:59:49.4486888Z mt = masked_tensor(d, m, requires_grad=False) 2022-12-01T10:59:49.4486893Z 2022-12-01T10:59:49.4487161Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4487229Z ========== 2022-12-01T10:59:49.4487834Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4487969Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4488036Z ok (0.006s) 2022-12-01T10:59:49.4488145Z test_mean_grad_case_1e (__main__.TestReductions) 2022-12-01T10:59:49.4488440Z values.requires_grad = True ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mean_grad_case_1e test_maskedtensor.py line 646 2022-12-01T10:59:49.4488506Z due to: 2022-12-01T10:59:49.4488597Z Traceback (most recent call last): 2022-12-01T10:59:49.4488864Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4489164Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4489597Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3225e+13, 4.5807e-41, -1.7437e+09], 2022-12-01T10:59:49.4489841Z [ 3.0922e-41, 1.4013e-45, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4489846Z 2022-12-01T10:59:49.4489913Z from user code: 2022-12-01T10:59:49.4490083Z File "test_maskedtensor.py", line 652, in test_mean_grad_case_1e 2022-12-01T10:59:49.4490154Z mt = as_masked_tensor(d, m) 2022-12-01T10:59:49.4490176Z 2022-12-01T10:59:49.4490294Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4490358Z ========== 2022-12-01T10:59:49.4490953Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4491090Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4491515Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4491644Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4491708Z ok (0.009s) 2022-12-01T10:59:49.4491818Z test_mean_grad_case_1f (__main__.TestReductions) 2022-12-01T10:59:49.4492111Z values.requires_grad = False ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_mean_grad_case_1f test_maskedtensor.py line 659 2022-12-01T10:59:49.4492177Z due to: 2022-12-01T10:59:49.4492267Z Traceback (most recent call last): 2022-12-01T10:59:49.4492531Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4492763Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4493194Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.7252e+09, 3.0922e-41, -1.7175e+09], 2022-12-01T10:59:49.4493432Z [ 3.0922e-41, 0.0000e+00, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4493437Z 2022-12-01T10:59:49.4493502Z from user code: 2022-12-01T10:59:49.4493625Z File "test_maskedtensor.py", line 665, in test_mean_grad_case_1f 2022-12-01T10:59:49.4493696Z mt = as_masked_tensor(d, m) 2022-12-01T10:59:49.4493700Z 2022-12-01T10:59:49.4493827Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4493884Z ========== 2022-12-01T10:59:49.4494487Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4494615Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4494675Z ok (0.006s) 2022-12-01T10:59:49.4494968Z test_prod (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_prod test_maskedtensor.py line 718 2022-12-01T10:59:49.4495027Z due to: 2022-12-01T10:59:49.4495105Z Traceback (most recent call last): 2022-12-01T10:59:49.4495363Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4495627Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4496073Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.0442e+09, 3.0922e-41, 0.0000e+00, 0.0000e+00], 2022-12-01T10:59:49.4496328Z [ 1.4013e-45, 0.0000e+00, 0.0000e+00, 3.0922e-41]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 4)), cpu)), **{}) 2022-12-01T10:59:49.4496334Z 2022-12-01T10:59:49.4496397Z from user code: 2022-12-01T10:59:49.4496537Z File "test_maskedtensor.py", line 721, in test_prod 2022-12-01T10:59:49.4496615Z mt = masked_tensor(d, m) 2022-12-01T10:59:49.4496621Z 2022-12-01T10:59:49.4496748Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4496799Z ========== 2022-12-01T10:59:49.4497396Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4497533Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4497596Z ok (0.007s) 2022-12-01T10:59:49.4497909Z test_prod_grad (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_prod_grad test_maskedtensor.py line 731 2022-12-01T10:59:49.4497964Z due to: 2022-12-01T10:59:49.4498050Z Traceback (most recent call last): 2022-12-01T10:59:49.4498311Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4498539Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4498958Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-1.7478e+09, 3.0922e-41, -3.2742e+07], 2022-12-01T10:59:49.4499198Z [ 3.0922e-41, 5.6175e+07, 4.5807e-41]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4499204Z 2022-12-01T10:59:49.4499268Z from user code: 2022-12-01T10:59:49.4499382Z File "test_maskedtensor.py", line 734, in test_prod_grad 2022-12-01T10:59:49.4499481Z mt = masked_tensor(d, m, requires_grad=True) 2022-12-01T10:59:49.4499486Z 2022-12-01T10:59:49.4499611Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4499668Z ========== 2022-12-01T10:59:49.4500259Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4500392Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4500811Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4500926Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4500985Z ok (0.007s) 2022-12-01T10:59:49.4501276Z test_sum (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sum test_maskedtensor.py line 514 2022-12-01T10:59:49.4501335Z due to: 2022-12-01T10:59:49.4501419Z Traceback (most recent call last): 2022-12-01T10:59:49.4501682Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4501912Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4502385Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00], 2022-12-01T10:59:49.4502646Z [-1.3325e+09, 3.0922e-41, -3.2742e+07, 3.0922e-41]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 4)), cpu)), **{}) 2022-12-01T10:59:49.4502652Z 2022-12-01T10:59:49.4502709Z from user code: 2022-12-01T10:59:49.4502816Z File "test_maskedtensor.py", line 517, in test_sum 2022-12-01T10:59:49.4502890Z mt = masked_tensor(d, m) 2022-12-01T10:59:49.4502950Z 2022-12-01T10:59:49.4503077Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4503131Z ========== 2022-12-01T10:59:49.4503731Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4503862Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4503921Z ok (0.007s) 2022-12-01T10:59:49.4504217Z test_sum_grad (__main__.TestReductions) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sum_grad test_maskedtensor.py line 527 2022-12-01T10:59:49.4504277Z due to: 2022-12-01T10:59:49.4504365Z Traceback (most recent call last): 2022-12-01T10:59:49.4504630Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4504864Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4505294Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3225e+13, 4.5807e-41, -3.3225e+13], 2022-12-01T10:59:49.4505538Z [ 4.5807e-41, 0.0000e+00, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(2, 3)), cpu)), **{}) 2022-12-01T10:59:49.4505543Z 2022-12-01T10:59:49.4505613Z from user code: 2022-12-01T10:59:49.4505729Z File "test_maskedtensor.py", line 530, in test_sum_grad 2022-12-01T10:59:49.4505821Z mt = masked_tensor(d, m, requires_grad=True) 2022-12-01T10:59:49.4505837Z 2022-12-01T10:59:49.4505955Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4506017Z ========== 2022-12-01T10:59:49.4506627Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4506762Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4507196Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-12-01T10:59:49.4507322Z "To avoid this, you can use data.clone().detach()", UserWarning) 2022-12-01T10:59:49.4507385Z ok (0.007s) 2022-12-01T10:59:49.4507717Z test_inplace_unary_fn_aten_abs_ (__main__.TestUnary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_inplace_unary test_maskedtensor.py line 415 2022-12-01T10:59:49.4507768Z due to: 2022-12-01T10:59:49.4507857Z Traceback (most recent call last): 2022-12-01T10:59:49.4508116Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4508343Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4508798Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[ 0.0000e+00, 0.0000e+00, 5.4928e+07, 4.5807e-41, 3.0268e-43, 2022-12-01T10:59:49.4508998Z 0.0000e+00, 0.0000e+00, 0.0000e+00, -8.1943e+05, 3.0922e-41], 2022-12-01T10:59:49.4509093Z [ 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 2022-12-01T10:59:49.4509256Z 0.0000e+00, -1.7607e+09, 3.0922e-41, -8.5133e+05, 3.0922e-41], 2022-12-01T10:59:49.4509419Z [-1.7607e+09, 3.0922e-41, -1.7607e+09, 3.0922e-41, -1.7607e+09, 2022-12-01T10:59:49.4509619Z 3.0922e-41, -7.8321e+05, 3.0922e-41, 0.0000e+00, 0.0000e+00], 2022-12-01T10:59:49.4509786Z [-8.4205e+05, 3.0922e-41, -8.0044e+05, 3.0922e-41, -8.3459e+05, 2022-12-01T10:59:49.4509951Z 3.0922e-41, -1.7608e+09, 3.0922e-41, 3.9819e-40, 0.0000e+00], 2022-12-01T10:59:49.4510111Z [ 0.0000e+00, 0.0000e+00, -7.8377e+05, 3.0922e-41, -7.8432e+05, 2022-12-01T10:59:49.4510277Z 3.0922e-41, -7.8495e+05, 3.0922e-41, 2.9147e-43, 0.0000e+00], 2022-12-01T10:59:49.4510436Z [ 0.0000e+00, 0.0000e+00, -7.5253e+05, 3.0922e-41, 0.0000e+00, 2022-12-01T10:59:49.4510598Z 0.0000e+00, -1.7608e+09, 3.0922e-41, 0.0000e+00, 0.0000e+00], 2022-12-01T10:59:49.4510758Z [-6.4480e+07, 3.0922e-41, 1.3145e+09, 4.5807e-41, 0.0000e+00, 2022-12-01T10:59:49.4510912Z 0.0000e+00, 0.0000e+00, 0.0000e+00, 2.8026e-43, 0.0000e+00], 2022-12-01T10:59:49.4511076Z [-8.0151e+05, 3.0922e-41, -7.9529e+05, 3.0922e-41, -1.0908e+07, 2022-12-01T10:59:49.4511242Z 4.5807e-41, -7.8382e+05, 3.0922e-41, 0.0000e+00, 0.0000e+00], 2022-12-01T10:59:49.4511400Z [ 5.4829e+07, 4.5807e-41, 0.0000e+00, 0.0000e+00, 0.0000e+00, 2022-12-01T10:59:49.4511492Z 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00], 2022-12-01T10:59:49.4511650Z [ 0.0000e+00, 0.0000e+00, 1.0307e-41, 0.0000e+00, 0.0000e+00, 2022-12-01T10:59:49.4511924Z 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00]]), FakeTensor(FakeTensor(..., device='meta', size=(10, 10)), cpu)), **{}) 2022-12-01T10:59:49.4511929Z 2022-12-01T10:59:49.4511992Z from user code: 2022-12-01T10:59:49.4512106Z File "test_maskedtensor.py", line 422, in test_inplace_unary 2022-12-01T10:59:49.4512222Z t_args, mt_args = self._get_sample_args(fn_name, data, mask) 2022-12-01T10:59:49.4512228Z 2022-12-01T10:59:49.4512358Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4512417Z ========== 2022-12-01T10:59:49.4512664Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT _get_sample_args test_maskedtensor.py line 392 2022-12-01T10:59:49.4512726Z due to: 2022-12-01T10:59:49.4512815Z Traceback (most recent call last): 2022-12-01T10:59:49.4513082Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4513307Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4513767Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[ nan, nan, nan, 3.8373e-34, 1.4013e-45, 2022-12-01T10:59:49.4513942Z 4.6652e-22, 0.0000e+00, 0.0000e+00, 1.8217e-44, 0.0000e+00], 2022-12-01T10:59:49.4514109Z [ 1.4718e+33, 4.5807e-41, 3.8291e+33, 4.5807e-41, 0.0000e+00, 2022-12-01T10:59:49.4514286Z 0.0000e+00, -2.4081e+13, 4.5807e-41, -9.2442e+05, 3.0922e-41], 2022-12-01T10:59:49.4514454Z [ 4.1530e+07, 2.5118e+07, 0.0000e+00, 4.5807e-41, 5.5330e+07, 2022-12-01T10:59:49.4514623Z 4.5807e-41, 1.1187e+03, 4.6366e-07, -2.4080e+13, 4.5807e-41], 2022-12-01T10:59:49.4514792Z [ 1.2802e+09, 4.5807e-41, 4.9257e+16, 4.4478e-22, -2.4081e+13, 2022-12-01T10:59:49.4514993Z 4.5807e-41, -2.4164e+13, 4.5807e-41, -1.9171e-12, -5.8331e-21], 2022-12-01T10:59:49.4515148Z [-2.4053e+13, 4.5807e-41, 5.5334e+07, 4.5807e-41, -3.0554e+08, 2022-12-01T10:59:49.4515318Z -3.9644e+12, -2.4080e+13, 4.5807e-41, 5.5808e+07, 4.5807e-41], 2022-12-01T10:59:49.4515486Z [ 9.7570e+20, -1.7016e-04, -2.4054e+13, 4.5807e-41, 5.5332e+07, 2022-12-01T10:59:49.4515653Z 4.5807e-41, -3.8577e+29, -9.4032e+07, -2.4069e+13, 4.5807e-41], 2022-12-01T10:59:49.4515819Z [ 5.5334e+07, 4.5807e-41, 9.9173e+29, 9.0373e-21, -2.4054e+13, 2022-12-01T10:59:49.4516012Z 4.5807e-41, 5.5337e+07, 4.5807e-41, -1.4587e-03, 1.3316e+30], 2022-12-01T10:59:49.4516177Z [-2.4053e+13, 4.5807e-41, 5.5332e+07, 4.5807e-41, -6.2058e+37, 2022-12-01T10:59:49.4516360Z 9.8824e+10, -2.4054e+13, 4.5807e-41, 5.5336e+07, 4.5807e-41], 2022-12-01T10:59:49.4516606Z [-6.5352e+31, -6.2554e-10, -2.4071e+13, 4.5807e-41, 1.2810e+09, 2022-12-01T10:59:49.4516788Z 4.5807e-41, -6.3289e-20, -2.1129e-13, -2.4053e+13, 4.5807e-41], 2022-12-01T10:59:49.4516953Z [ 5.5335e+07, 4.5807e-41, 2.7010e+10, -4.6822e+10, -2.4053e+13, 2022-12-01T10:59:49.4517238Z 4.5807e-41, 5.5332e+07, 4.5807e-41, -3.2284e-04, -2.0355e-30]]), FakeTensor(FakeTensor(..., device='meta', size=(10, 10)), cpu)), **{}) 2022-12-01T10:59:49.4517243Z 2022-12-01T10:59:49.4517312Z from user code: 2022-12-01T10:59:49.4517434Z File "test_maskedtensor.py", line 394, in _get_sample_args 2022-12-01T10:59:49.4517521Z mt = masked_tensor(data, mask) 2022-12-01T10:59:49.4517526Z 2022-12-01T10:59:49.4517662Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4517714Z ========== 2022-12-01T10:59:49.4518318Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4518455Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4519046Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4519180Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4519246Z ok (0.034s) 2022-12-01T10:59:49.4519937Z test_inplace_unary_fn_aten_absolute_ (__main__.TestUnary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4520075Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4520144Z ok (0.007s) 2022-12-01T10:59:49.4520833Z test_inplace_unary_fn_aten_acos_ (__main__.TestUnary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4520971Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4521035Z ok (0.010s) 2022-12-01T10:59:49.4521714Z test_inplace_unary_fn_aten_acosh_ (__main__.TestUnary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4521881Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4521945Z ok (0.009s) 2022-12-01T10:59:49.4522655Z test_inplace_unary_fn_aten_arccos_ (__main__.TestUnary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4522790Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4522857Z ok (0.009s) 2022-12-01T10:59:49.4523546Z test_inplace_unary_fn_aten_arccosh_ (__main__.TestUnary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4523681Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4523745Z ok (0.009s) 2022-12-01T10:59:49.4524434Z test_inplace_unary_fn_aten_arcsin_ (__main__.TestUnary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4524567Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4524618Z ok (0.009s) 2022-12-01T10:59:49.4525309Z test_inplace_unary_fn_aten_arcsinh_ (__main__.TestUnary) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4525445Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4525507Z ok (0.007s) 2022-12-01T10:59:49.4525637Z test_inplace_unary_fn_aten_arctan_ (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4525770Z test_inplace_unary_fn_aten_arctanh_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4525899Z test_inplace_unary_fn_aten_asin_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4526026Z test_inplace_unary_fn_aten_asinh_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4526152Z test_inplace_unary_fn_aten_atan_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4526340Z test_inplace_unary_fn_aten_atanh_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4526478Z test_inplace_unary_fn_aten_bitwise_not_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4526601Z test_inplace_unary_fn_aten_ceil_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4526730Z test_inplace_unary_fn_aten_clamp_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4526853Z test_inplace_unary_fn_aten_clip_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4527182Z test_inplace_unary_fn_aten_conj_physical_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4527314Z test_inplace_unary_fn_aten_cos_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4527440Z test_inplace_unary_fn_aten_cosh_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4527559Z test_inplace_unary_fn_aten_deg2rad_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4527692Z test_inplace_unary_fn_aten_digamma_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4527871Z test_inplace_unary_fn_aten_erf_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4527996Z test_inplace_unary_fn_aten_erfc_ (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4528125Z test_inplace_unary_fn_aten_erfinv_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4528251Z test_inplace_unary_fn_aten_exp2_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4528379Z test_inplace_unary_fn_aten_exp_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4528506Z test_inplace_unary_fn_aten_expm1_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4528654Z test_inplace_unary_fn_aten_fix_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4528784Z test_inplace_unary_fn_aten_floor_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4528908Z test_inplace_unary_fn_aten_frac_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4529032Z test_inplace_unary_fn_aten_i0_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4529162Z test_inplace_unary_fn_aten_lgamma_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4529286Z test_inplace_unary_fn_aten_log10_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4529414Z test_inplace_unary_fn_aten_log1p_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4529544Z test_inplace_unary_fn_aten_log2_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4529657Z test_inplace_unary_fn_aten_log_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4529784Z test_inplace_unary_fn_aten_logit_ (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4529920Z test_inplace_unary_fn_aten_nan_to_num_ (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4530047Z test_inplace_unary_fn_aten_neg_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4530177Z test_inplace_unary_fn_aten_negative_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4530300Z test_inplace_unary_fn_aten_pow_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4530430Z test_inplace_unary_fn_aten_rad2deg_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4530564Z test_inplace_unary_fn_aten_reciprocal_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4530679Z test_inplace_unary_fn_aten_round_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4530809Z test_inplace_unary_fn_aten_rsqrt_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4530932Z test_inplace_unary_fn_aten_sgn_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531060Z test_inplace_unary_fn_aten_sigmoid_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531191Z test_inplace_unary_fn_aten_sign_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531312Z test_inplace_unary_fn_aten_sin_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531435Z test_inplace_unary_fn_aten_sinc_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531561Z test_inplace_unary_fn_aten_sinh_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531678Z test_inplace_unary_fn_aten_sqrt_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531806Z test_inplace_unary_fn_aten_square_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4531929Z test_inplace_unary_fn_aten_tan_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4532053Z test_inplace_unary_fn_aten_tanh_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4532178Z test_inplace_unary_fn_aten_trunc_ (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4532497Z test_unary_fn_aten_abs (__main__.TestUnary) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_unary test_maskedtensor.py line 402 2022-12-01T10:59:49.4532564Z due to: 2022-12-01T10:59:49.4532643Z Traceback (most recent call last): 2022-12-01T10:59:49.4532911Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 683, in __torch_dispatch__ 2022-12-01T10:59:49.4533152Z "Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. " 2022-12-01T10:59:49.4533643Z Exception: Invoking operators with non-Fake Tensor inputs in FakeTensorMode is not yet supported. Please convert all Tensors to FakeTensors first. Found in aten.copy_.default(*(tensor([[-3.3226e+13, 4.5807e-41, -3.3226e+13, 4.5807e-41, 2.3301e-09, 2022-12-01T10:59:49.4533818Z 1.3563e-19, 1.3563e-19, 1.3563e-19, 1.6775e-07, 1.3844e+10], 2022-12-01T10:59:49.4533991Z [ 3.1241e+03, 7.8502e+02, 1.3563e-19, 1.3563e-19, 1.3563e-19, 2022-12-01T10:59:49.4534161Z 2.6841e-06, 3.5622e+09, 1.4289e+04, 1.7985e-19, 1.3563e-19], 2022-12-01T10:59:49.4534356Z [ 1.3563e-19, 1.3563e-19, 1.5342e-19, 2.5762e+20, 5.4047e-14, 2022-12-01T10:59:49.4534531Z 1.7075e-04, 1.3563e-19, 1.3563e-19, 1.4913e-07, 3.4247e+09], 2022-12-01T10:59:49.4534688Z [ 1.4289e+04, 1.7985e-19, 1.3563e-19, 1.3563e-19, 1.3563e-19, 2022-12-01T10:59:49.4534856Z 2.3861e-06, 7.5158e+31, 1.1446e+24, 1.1703e-19, 1.3563e-19], 2022-12-01T10:59:49.4535026Z [ 1.3563e-19, 1.3563e-19, 4.1992e+07, 1.4142e+19, 8.8609e+11, 2022-12-01T10:59:49.4535194Z 1.3563e-19, 1.3563e-19, 1.3563e-19, 1.3563e-19, 9.7862e-09], 2022-12-01T10:59:49.4535361Z [ 8.1461e-33, 1.3563e-19, 1.3563e-19, 1.3563e-19, 1.5095e-19, 2022-12-01T10:59:49.4535526Z 5.2778e+07, 8.3711e+05, 1.3580e-19, 1.3563e-19, 1.3563e-19], 2022-12-01T10:59:49.4535696Z [ 1.3563e-19, 1.1705e-19, 1.3563e-19, 1.3563e-19, 1.3563e-19, 2022-12-01T10:59:49.4535863Z 6.5620e+05, 1.2770e+01, 1.3954e+01, 1.1712e-19, 1.3563e-19], 2022-12-01T10:59:49.4536016Z [ 1.3563e-19, 1.3563e-19, 6.8810e+11, 3.3650e+03, 8.3011e+11, 2022-12-01T10:59:49.4536181Z 1.3563e-19, 1.3563e-19, 1.3563e-19, 1.3563e-19, 3.2520e+27], 2022-12-01T10:59:49.4536347Z [ 4.4640e+30, 8.1588e-33, 6.4102e-10, 1.3563e-19, 1.6114e-19, 2022-12-01T10:59:49.4536514Z 4.3184e-05, 1.2956e+01, 1.2398e+01, 1.3580e-19, 1.3563e-19], 2022-12-01T10:59:49.4536683Z [ 1.3563e-19, 1.3563e-19, 1.5342e-19, 2.5762e+20, 5.4047e-14, 2022-12-01T10:59:49.4536961Z 1.3563e-19, 1.3563e-19, 1.3563e-19, 6.6257e-10, 1.2956e+01]]), FakeTensor(FakeTensor(..., device='meta', size=(10, 10)), cpu)), **{}) 2022-12-01T10:59:49.4536967Z 2022-12-01T10:59:49.4537036Z from user code: 2022-12-01T10:59:49.4537155Z File "test_maskedtensor.py", line 409, in test_unary 2022-12-01T10:59:49.4537278Z t_args, mt_args = self._get_sample_args(fn_name, data, mask) 2022-12-01T10:59:49.4537283Z 2022-12-01T10:59:49.4537402Z Set torchdynamo.config.verbose=True for more information 2022-12-01T10:59:49.4537466Z ========== 2022-12-01T10:59:49.4538073Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-12-01T10:59:49.4538210Z "module for further information about the project."), UserWarning) 2022-12-01T10:59:49.4538274Z ok (0.012s) 2022-12-01T10:59:49.4538395Z test_unary_fn_aten_absolute (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4538514Z test_unary_fn_aten_acos (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4538631Z test_unary_fn_aten_acosh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4538737Z test_unary_fn_aten_angle (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4538854Z test_unary_fn_aten_arccos (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4538973Z test_unary_fn_aten_arccosh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539089Z test_unary_fn_aten_arcsin (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539208Z test_unary_fn_aten_arcsinh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539325Z test_unary_fn_aten_arctan (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539469Z test_unary_fn_aten_arctanh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539584Z test_unary_fn_aten_asin (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539688Z test_unary_fn_aten_asinh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539799Z test_unary_fn_aten_atan (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4539912Z test_unary_fn_aten_atanh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540032Z test_unary_fn_aten_bitwise_not (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540144Z test_unary_fn_aten_ceil (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540284Z test_unary_fn_aten_clamp (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540398Z test_unary_fn_aten_clip (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4540514Z test_unary_fn_aten_conj_physical (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540628Z test_unary_fn_aten_cos (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540743Z test_unary_fn_aten_cosh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540859Z test_unary_fn_aten_deg2rad (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4540976Z test_unary_fn_aten_digamma (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541088Z test_unary_fn_aten_erf (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541198Z test_unary_fn_aten_erfc (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541315Z test_unary_fn_aten_erfinv (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541418Z test_unary_fn_aten_exp (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541532Z test_unary_fn_aten_exp2 (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541647Z test_unary_fn_aten_expm1 (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541757Z test_unary_fn_aten_fix (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541871Z test_unary_fn_aten_floor (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4541984Z test_unary_fn_aten_frac (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542093Z test_unary_fn_aten_i0 (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542205Z test_unary_fn_aten_isnan (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542311Z test_unary_fn_aten_lgamma (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542423Z test_unary_fn_aten_log (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4542530Z test_unary_fn_aten_log10 (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542644Z test_unary_fn_aten_log1p (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542756Z test_unary_fn_aten_log2 (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542867Z test_unary_fn_aten_logit (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4542986Z test_unary_fn_aten_nan_to_num (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4543086Z test_unary_fn_aten_neg (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4543206Z test_unary_fn_aten_negative (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4543322Z test_unary_fn_aten_positive (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4543433Z test_unary_fn_aten_pow (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4543550Z test_unary_fn_aten_rad2deg (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4543673Z test_unary_fn_aten_reciprocal (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4543787Z test_unary_fn_aten_round (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4543897Z test_unary_fn_aten_rsqrt (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544000Z test_unary_fn_aten_sgn (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544114Z test_unary_fn_aten_sigmoid (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544225Z test_unary_fn_aten_sign (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544342Z test_unary_fn_aten_signbit (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544478Z test_unary_fn_aten_sin (__main__.TestUnary) ... ok (0.002s) 2022-12-01T10:59:49.4544590Z test_unary_fn_aten_sinc (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544702Z test_unary_fn_aten_sinh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544815Z test_unary_fn_aten_sqrt (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4544921Z test_unary_fn_aten_square (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4545032Z test_unary_fn_aten_tan (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4545143Z test_unary_fn_aten_tanh (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4545281Z test_unary_fn_aten_trunc (__main__.TestUnary) ... ok (0.001s) 2022-12-01T10:59:49.4545287Z 2022-12-01T10:59:49.4545484Z ---------------------------------------------------------------------- 2022-12-01T10:59:49.4545560Z Ran 826 tests in 4.250s 2022-12-01T10:59:49.4545565Z 2022-12-01T10:59:49.4545623Z OK 2022-12-01T10:59:49.4545628Z 2022-12-01T10:59:49.4545712Z Generating XML reports... 2022-12-01T10:59:49.4545990Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestBasicsCPU-20221201105944.xml 2022-12-01T10:59:49.4546266Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestBinary-20221201105944.xml 2022-12-01T10:59:49.4546558Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestOperatorsCPU-20221201105944.xml 2022-12-01T10:59:49.4546838Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestReductions-20221201105944.xml 2022-12-01T10:59:49.4547104Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestUnary-20221201105944.xml 2022-12-01T10:59:49.4547111Z 2022-12-01T10:59:49.4547426Z ##[endgroup] 2022-12-01T10:59:49.4547719Z FINISHED PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor_umhluf0y) 2022-12-01T10:59:49.4547725Z 2022-12-01T10:59:49.4547887Z Running test_import_stats ... [2022-12-01 10:59:49.387855] 2022-12-01T10:59:49.4548212Z Executing ['/opt/conda/bin/python', '-bb', 'test_import_stats.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:49.388173] 2022-12-01T10:59:56.6267120Z 2022-12-01T10:59:56.6267670Z Expand the folded group to see the log file of test_import_stats 2022-12-01T10:59:56.6268789Z ##[group]PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_vh_1skpk) 2022-12-01T10:59:56.6269667Z Test results will be stored in test-reports/python-unittest/test_import_stats 2022-12-01T10:59:56.6269851Z 2022-12-01T10:59:56.6269926Z Running tests... 2022-12-01T10:59:56.6270239Z ---------------------------------------------------------------------- 2022-12-01T10:59:56.6270617Z test_time_cuda_device_count (__main__.TestImportTime) ... ok (4.819s) 2022-12-01T10:59:56.6270910Z test_time_import_torch (__main__.TestImportTime) ... ok (0.837s) 2022-12-01T10:59:56.6271109Z 2022-12-01T10:59:56.6271316Z ---------------------------------------------------------------------- 2022-12-01T10:59:56.6271612Z Ran 2 tests in 5.717s 2022-12-01T10:59:56.6271797Z 2022-12-01T10:59:56.6271908Z OK 2022-12-01T10:59:56.6272077Z 2022-12-01T10:59:56.6272234Z Generating XML reports... 2022-12-01T10:59:56.6272770Z Generated XML report: test-reports/python-unittest/test_import_stats/TEST-TestImportTime-20221201105950.xml 2022-12-01T10:59:56.6273000Z 2022-12-01T10:59:56.6273220Z ##[endgroup] 2022-12-01T10:59:56.6273676Z FINISHED PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_vh_1skpk) 2022-12-01T10:59:56.6273921Z 2022-12-01T10:59:56.6274127Z Running backends/xeon/test_launch ... [2022-12-01 10:59:56.627004] 2022-12-01T10:59:56.6274995Z Executing ['/opt/conda/bin/python', '-bb', 'backends/xeon/test_launch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:56.627311] 2022-12-01T10:59:59.4718015Z 2022-12-01T10:59:59.4718766Z Expand the folded group to see the log file of backends/xeon/test_launch 2022-12-01T10:59:59.4719852Z ##[group]PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_kz1kkzu6) 2022-12-01T10:59:59.4720458Z Test results will be stored in test-reports/python-unittest/backends.xeon.test_launch 2022-12-01T10:59:59.4720657Z 2022-12-01T10:59:59.4720735Z Running tests... 2022-12-01T10:59:59.4721047Z ---------------------------------------------------------------------- 2022-12-01T10:59:59.4722108Z test_cpu_info (__main__.TestTorchrun) ... 2022-12-01 10:59:58,062 - torch.backends.xeon.run_cpu - WARNING - Numa Aware: cores:[2, 3, 4, 5] on different NUMA nodes:[0, 1]. To avoid this behavior, please use --ncores_per_instance knob to make sure number of cores is divisible by --ncores_per_instance. Alternatively, please use --skip_cross_node_cores knob. 2022-12-01T10:59:59.4722605Z ok (0.189s) 2022-12-01T10:59:59.4722891Z test_multi_threads (__main__.TestTorchrun) ... ok (1.169s) 2022-12-01T10:59:59.4723050Z 2022-12-01T10:59:59.4723253Z ---------------------------------------------------------------------- 2022-12-01T10:59:59.4723485Z Ran 2 tests in 1.417s 2022-12-01T10:59:59.4723601Z 2022-12-01T10:59:59.4723664Z OK 2022-12-01T10:59:59.4723756Z 2022-12-01T10:59:59.4723845Z Generating XML reports... 2022-12-01T10:59:59.4724269Z Generated XML report: test-reports/python-unittest/backends.xeon.test_launch/TEST-TestTorchrun-20221201105957.xml 2022-12-01T10:59:59.4724604Z 2022-12-01T10:59:59.4724838Z ##[endgroup] 2022-12-01T10:59:59.4725305Z FINISHED PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_kz1kkzu6) 2022-12-01T10:59:59.4725552Z 2022-12-01T10:59:59.4725729Z Running test_model_dump ... [2022-12-01 10:59:59.472077] 2022-12-01T10:59:59.4726323Z Executing ['/opt/conda/bin/python', '-bb', 'test_model_dump.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 10:59:59.472399] 2022-12-01T11:00:07.7477847Z 2022-12-01T11:00:07.7478404Z Expand the folded group to see the log file of test_model_dump 2022-12-01T11:00:07.7479514Z ##[group]PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_6ny3nphd) 2022-12-01T11:00:07.7480415Z Test results will be stored in test-reports/python-unittest/test_model_dump 2022-12-01T11:00:07.7480602Z 2022-12-01T11:00:07.7480678Z Running tests... 2022-12-01T11:00:07.7481020Z ---------------------------------------------------------------------- 2022-12-01T11:00:07.7481659Z test_inline_skeleton (__main__.TestModelDump) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_model_dump.py line 92 2022-12-01T11:00:07.7482029Z due to: 2022-12-01T11:00:07.7482339Z Traceback (most recent call last): 2022-12-01T11:00:07.7482852Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T11:00:07.7483294Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T11:00:07.7483781Z AssertionError: torch.* op returned non-Tensor str call_function 2022-12-01T11:00:07.7483979Z 2022-12-01T11:00:07.7484051Z from user code: 2022-12-01T11:00:07.7484399Z File "test_model_dump.py", line 93, in 2022-12-01T11:00:07.7484726Z skel = torch.utils.model_dump.get_inline_skeleton() 2022-12-01T11:00:07.7484876Z 2022-12-01T11:00:07.7485036Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:07.7485426Z ========== 2022-12-01T11:00:07.7485726Z ok (3.978s) 2022-12-01T11:00:07.7485997Z test_invalid_json (__main__.TestModelDump) ... ok (0.063s) 2022-12-01T11:00:07.7486345Z test_main (__main__.TestModelDump) ... ok (0.043s) 2022-12-01T11:00:07.7486642Z test_memory_computation (__main__.TestModelDump) ... skip: Webdriver not requested (0.002s) 2022-12-01T11:00:07.7486951Z test_model_with_lists (__main__.TestModelDump) ... ok (0.020s) 2022-12-01T11:00:07.7487819Z test_optimized_quantized_model (__main__.TestModelDump) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_model_dump.py line 163 2022-12-01T11:00:07.7488147Z due to: 2022-12-01T11:00:07.7488340Z Traceback (most recent call last): 2022-12-01T11:00:07.7488612Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T11:00:07.7489044Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T11:00:07.7489568Z AssertionError: torch.* op returned non-Tensor _PartialWrapper call_function 2022-12-01T11:00:07.7489779Z 2022-12-01T11:00:07.7489849Z from user code: 2022-12-01T11:00:07.7490073Z File "test_model_dump.py", line 165, in 2022-12-01T11:00:07.7490380Z fmodel.qconfig = torch.ao.quantization.get_default_qconfig("qnnpack") 2022-12-01T11:00:07.7490557Z 2022-12-01T11:00:07.7490692Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:07.7490901Z ========== 2022-12-01T11:00:07.7491066Z ok (2.203s) 2022-12-01T11:00:07.7491290Z test_quantized_model (__main__.TestModelDump) ... ok (0.377s) 2022-12-01T11:00:07.7491555Z test_scripted_model (__main__.TestModelDump) ... ok (0.020s) 2022-12-01T11:00:07.7491826Z test_traced_model (__main__.TestModelDump) ... ok (0.030s) 2022-12-01T11:00:07.7491973Z 2022-12-01T11:00:07.7492173Z ---------------------------------------------------------------------- 2022-12-01T11:00:07.7492410Z Ran 9 tests in 6.799s 2022-12-01T11:00:07.7492511Z 2022-12-01T11:00:07.7492585Z OK (skipped=1) 2022-12-01T11:00:07.7492693Z 2022-12-01T11:00:07.7492776Z Generating XML reports... 2022-12-01T11:00:07.7493178Z Generated XML report: test-reports/python-unittest/test_model_dump/TEST-TestModelDump-20221201110000.xml 2022-12-01T11:00:07.7493404Z 2022-12-01T11:00:07.7493659Z ##[endgroup] 2022-12-01T11:00:07.7494046Z FINISHED PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_6ny3nphd) 2022-12-01T11:00:07.7494266Z 2022-12-01T11:00:07.7494481Z Running benchmark_utils/test_benchmark_utils ... [2022-12-01 11:00:07.748047] 2022-12-01T11:00:07.7495004Z Executing ['/opt/conda/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:07.748372] 2022-12-01T11:00:12.4586963Z 2022-12-01T11:00:12.4587560Z Expand the folded group to see the log file of benchmark_utils/test_benchmark_utils 2022-12-01T11:00:12.4588620Z ##[group]PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_aakilc7m) 2022-12-01T11:00:12.4589263Z Test results will be stored in test-reports/python-unittest/benchmark_utils.test_benchmark_utils 2022-12-01T11:00:12.4589642Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T11:00:12.4589807Z 2022-12-01T11:00:12.4589866Z Running tests... 2022-12-01T11:00:12.4590176Z ---------------------------------------------------------------------- 2022-12-01T11:00:12.4590570Z test_adaptive_timer (__main__.TestBenchmarkUtils) ... ok (2.223s) 2022-12-01T11:00:12.4591625Z test_collect_callgrind (__main__.TestBenchmarkUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76932 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-12-01T11:00:12.4592226Z test_collect_cpp_callgrind (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.001s) 2022-12-01T11:00:12.4592544Z test_compare (__main__.TestBenchmarkUtils) ... ok (0.102s) 2022-12-01T11:00:12.4592849Z test_cpp_timer (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.000s) 2022-12-01T11:00:12.4593695Z test_fuzzer (__main__.TestBenchmarkUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_fuzzer benchmark_utils/test_benchmark_utils.py line 980 2022-12-01T11:00:12.4594089Z due to: 2022-12-01T11:00:12.4594374Z Traceback (most recent call last): 2022-12-01T11:00:12.4594655Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T11:00:12.4595133Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T11:00:12.4595788Z AssertionError: torch.* op returned non-Tensor FuzzedParameter call_function 2022-12-01T11:00:12.4596106Z 2022-12-01T11:00:12.4596181Z from user code: 2022-12-01T11:00:12.4596425Z File "benchmark_utils/test_benchmark_utils.py", line 985, in test_fuzzer 2022-12-01T11:00:12.4596757Z "n", minval=1, maxval=16, distribution="loguniform")], 2022-12-01T11:00:12.4596906Z 2022-12-01T11:00:12.4597046Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:12.4597268Z ========== 2022-12-01T11:00:12.4597476Z ok (0.005s) 2022-12-01T11:00:12.4598014Z test_manipulate_callgrind_stats (__main__.TestBenchmarkUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT benchmark_utils/test_benchmark_utils.py line 589 2022-12-01T11:00:12.4598446Z due to: 2022-12-01T11:00:12.4598629Z Traceback (most recent call last): 2022-12-01T11:00:12.4598923Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/lists.py", line 38, in as_python_constant 2022-12-01T11:00:12.4599295Z return self.python_type()([x.as_python_constant() for x in self.items]) 2022-12-01T11:00:12.4599657Z TypeError: __new__() missing 1 required positional argument: 'function' 2022-12-01T11:00:12.4599888Z 2022-12-01T11:00:12.4599945Z from user code: 2022-12-01T11:00:12.4600226Z File "benchmark_utils/test_benchmark_utils.py", line 589, in 2022-12-01T11:00:12.4600620Z stats_no_data.stats(inclusive=False)._data, False, _linewidth=160) 2022-12-01T11:00:12.4600783Z 2022-12-01T11:00:12.4600914Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:12.4601119Z ========== 2022-12-01T11:00:12.4601289Z ok (0.333s) 2022-12-01T11:00:12.4601775Z test_timer (__main__.TestBenchmarkUtils) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_timer benchmark_utils/test_benchmark_utils.py line 145 2022-12-01T11:00:12.4602091Z due to: 2022-12-01T11:00:12.4602313Z Traceback (most recent call last): 2022-12-01T11:00:12.4602591Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T11:00:12.4603073Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T11:00:12.4603566Z AssertionError: torch.* op returned non-Tensor Timer call_function 2022-12-01T11:00:12.4603871Z 2022-12-01T11:00:12.4603942Z from user code: 2022-12-01T11:00:12.4604178Z File "benchmark_utils/test_benchmark_utils.py", line 147, in test_timer 2022-12-01T11:00:12.4604402Z stmt="torch.ones(())", 2022-12-01T11:00:12.4604580Z 2022-12-01T11:00:12.4604713Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:12.4604933Z ========== 2022-12-01T11:00:12.4605077Z ok (0.118s) 2022-12-01T11:00:12.4605409Z test_timer_tiny_fast_snippet (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.000s) 2022-12-01T11:00:12.4605605Z 2022-12-01T11:00:12.4605807Z ---------------------------------------------------------------------- 2022-12-01T11:00:12.4606081Z Ran 9 tests in 2.851s 2022-12-01T11:00:12.4606268Z 2022-12-01T11:00:12.4606342Z OK (skipped=4) 2022-12-01T11:00:12.4606450Z 2022-12-01T11:00:12.4606536Z Generating XML reports... 2022-12-01T11:00:12.4607218Z Generated XML report: test-reports/python-unittest/benchmark_utils.test_benchmark_utils/TEST-TestBenchmarkUtils-20221201110009.xml 2022-12-01T11:00:12.4607576Z 2022-12-01T11:00:12.4607894Z ##[endgroup] 2022-12-01T11:00:12.4608357Z FINISHED PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_aakilc7m) 2022-12-01T11:00:12.4608685Z 2022-12-01T11:00:12.4608877Z Running test_per_overload_api ... [2022-12-01 11:00:12.458960] 2022-12-01T11:00:12.4609422Z Executing ['/opt/conda/bin/python', '-bb', 'test_per_overload_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:12.459298] 2022-12-01T11:00:18.1874819Z 2022-12-01T11:00:18.1875613Z Expand the folded group to see the log file of test_per_overload_api 2022-12-01T11:00:18.1876405Z ##[group]PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_1564h3ll) 2022-12-01T11:00:18.1876989Z Test results will be stored in test-reports/python-unittest/test_per_overload_api 2022-12-01T11:00:18.1877293Z 2022-12-01T11:00:18.1877409Z Running tests... 2022-12-01T11:00:18.1877961Z ---------------------------------------------------------------------- 2022-12-01T11:00:18.1878507Z test_basics_opoverload (__main__.TestPerOverloadAPI) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_per_overload_api.py line 61 2022-12-01T11:00:18.1878859Z due to: 2022-12-01T11:00:18.1879045Z Traceback (most recent call last): 2022-12-01T11:00:18.1879428Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 257, in __call__ 2022-12-01T11:00:18.1879708Z return self._op(*args, **kwargs or {}) 2022-12-01T11:00:18.1880244Z RuntimeError: Unknown keyword argument 'out' for operator 'aten::add'. Schema: aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor 2022-12-01T11:00:18.1880482Z 2022-12-01T11:00:18.1880620Z The above exception was the direct cause of the following exception: 2022-12-01T11:00:18.1880772Z 2022-12-01T11:00:18.1880866Z Traceback (most recent call last): 2022-12-01T11:00:18.1881145Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 156, in create 2022-12-01T11:00:18.1881422Z raise TorchRuntimeError() from e 2022-12-01T11:00:18.1888388Z torchdynamo.exc.TorchRuntimeError 2022-12-01T11:00:18.1888681Z 2022-12-01T11:00:18.1888838Z from user code: 2022-12-01T11:00:18.1889257Z File "test_per_overload_api.py", line 61, in 2022-12-01T11:00:18.1889555Z self.assertRaises(RuntimeError, lambda: add_tensoroverload(a, a, out=b)) 2022-12-01T11:00:18.1889738Z 2022-12-01T11:00:18.1889858Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:18.1890084Z ========== 2022-12-01T11:00:18.1890261Z ok (4.045s) 2022-12-01T11:00:18.1890496Z test_basics_opoverloadpacket (__main__.TestPerOverloadAPI) ... ok (0.081s) 2022-12-01T11:00:18.1890804Z test_decompose (__main__.TestPerOverloadAPI) ... ok (0.019s) 2022-12-01T11:00:18.1890962Z 2022-12-01T11:00:18.1891230Z ---------------------------------------------------------------------- 2022-12-01T11:00:18.1891482Z Ran 3 tests in 4.204s 2022-12-01T11:00:18.1891583Z 2022-12-01T11:00:18.1891645Z OK 2022-12-01T11:00:18.1891738Z 2022-12-01T11:00:18.1891825Z Generating XML reports... 2022-12-01T11:00:18.1918616Z Generated XML report: test-reports/python-unittest/test_per_overload_api/TEST-TestPerOverloadAPI-20221201110013.xml 2022-12-01T11:00:18.1919065Z 2022-12-01T11:00:18.1919596Z ##[endgroup] 2022-12-01T11:00:18.1920250Z FINISHED PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_1564h3ll) 2022-12-01T11:00:18.1920478Z 2022-12-01T11:00:18.1920660Z Running test_jit_disabled ... [2022-12-01 11:00:18.187713] 2022-12-01T11:00:18.1921120Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_disabled.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:18.188133] 2022-12-01T11:00:23.8558745Z 2022-12-01T11:00:23.8559553Z Expand the folded group to see the log file of test_jit_disabled 2022-12-01T11:00:23.8560934Z ##[group]PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_1h9szdk5) 2022-12-01T11:00:23.8561713Z Test results will be stored in test-reports/python-unittest/test_jit_disabled 2022-12-01T11:00:23.8561998Z 2022-12-01T11:00:23.8562152Z Running tests... 2022-12-01T11:00:23.8562671Z ---------------------------------------------------------------------- 2022-12-01T11:00:23.8563146Z test_attribute (__main__.TestJitDisabled) ... ok (3.949s) 2022-12-01T11:00:23.8563542Z test_recursive_script (__main__.TestJitDisabled) ... ok (0.048s) 2022-12-01T11:00:23.8564190Z test_script_module_construction (__main__.TestJitDisabled) ... ok (0.046s) 2022-12-01T11:00:23.8564485Z 2022-12-01T11:00:23.8564837Z ---------------------------------------------------------------------- 2022-12-01T11:00:23.8565178Z Ran 3 tests in 4.108s 2022-12-01T11:00:23.8565361Z 2022-12-01T11:00:23.8565451Z OK 2022-12-01T11:00:23.8565585Z 2022-12-01T11:00:23.8565718Z Generating XML reports... 2022-12-01T11:00:23.8566494Z Generated XML report: test-reports/python-unittest/test_jit_disabled/TEST-TestJitDisabled-20221201110019.xml 2022-12-01T11:00:23.8566853Z 2022-12-01T11:00:23.8567428Z ##[endgroup] 2022-12-01T11:00:23.8568005Z FINISHED PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_1h9szdk5) 2022-12-01T11:00:23.8568300Z 2022-12-01T11:00:23.8568535Z Running test_type_info ... [2022-12-01 11:00:23.856140] 2022-12-01T11:00:23.8569141Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_info.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:23.856542] 2022-12-01T11:00:29.3395160Z 2022-12-01T11:00:29.3395745Z Expand the folded group to see the log file of test_type_info 2022-12-01T11:00:29.3396915Z ##[group]PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_svjh62t1) 2022-12-01T11:00:29.3397813Z Test results will be stored in test-reports/python-unittest/test_type_info 2022-12-01T11:00:29.3398168Z 2022-12-01T11:00:29.3398247Z Running tests... 2022-12-01T11:00:29.3398562Z ---------------------------------------------------------------------- 2022-12-01T11:00:29.3399168Z test_finfo (__main__.TestDTypeInfo) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_finfo test_type_info.py line 39 2022-12-01T11:00:29.3399440Z due to: 2022-12-01T11:00:29.3399625Z Traceback (most recent call last): 2022-12-01T11:00:29.3400062Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T11:00:29.3400762Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T11:00:29.3401212Z AssertionError: torch.* op returned non-Tensor dtype call_function 2022-12-01T11:00:29.3401413Z 2022-12-01T11:00:29.3401485Z from user code: 2022-12-01T11:00:29.3401697Z File "test_type_info.py", line 41, in test_finfo 2022-12-01T11:00:29.3401937Z initial_default_type = torch.get_default_dtype() 2022-12-01T11:00:29.3402159Z 2022-12-01T11:00:29.3402315Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:29.3402536Z ========== 2022-12-01T11:00:29.3402683Z ok (3.904s) 2022-12-01T11:00:29.3402955Z test_iinfo (__main__.TestDTypeInfo) ... ok (0.008s) 2022-12-01T11:00:29.3403435Z test_invalid_input (__main__.TestDTypeInfo) ... ok (0.005s) 2022-12-01T11:00:29.3403707Z 2022-12-01T11:00:29.3403895Z ---------------------------------------------------------------------- 2022-12-01T11:00:29.3404137Z Ran 3 tests in 3.977s 2022-12-01T11:00:29.3404249Z 2022-12-01T11:00:29.3404311Z OK 2022-12-01T11:00:29.3404406Z 2022-12-01T11:00:29.3404489Z Generating XML reports... 2022-12-01T11:00:29.3404880Z Generated XML report: test-reports/python-unittest/test_type_info/TEST-TestDTypeInfo-20221201110025.xml 2022-12-01T11:00:29.3405104Z 2022-12-01T11:00:29.3405342Z ##[endgroup] 2022-12-01T11:00:29.3405721Z FINISHED PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_svjh62t1) 2022-12-01T11:00:29.3406185Z 2022-12-01T11:00:29.3406350Z Running test_itt ... [2022-12-01 11:00:29.339831] 2022-12-01T11:00:29.3406797Z Executing ['/opt/conda/bin/python', '-bb', 'test_itt.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:29.340157] 2022-12-01T11:00:34.6372656Z 2022-12-01T11:00:34.6373198Z Expand the folded group to see the log file of test_itt 2022-12-01T11:00:34.6374089Z ##[group]PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_x7gf3c9b) 2022-12-01T11:00:34.6374904Z Test results will be stored in test-reports/python-unittest/test_itt 2022-12-01T11:00:34.6375085Z 2022-12-01T11:00:34.6375160Z Running tests... 2022-12-01T11:00:34.6375529Z ---------------------------------------------------------------------- 2022-12-01T11:00:34.6375784Z test_itt (__main__.TestItt) ... ok (3.797s) 2022-12-01T11:00:34.6375930Z 2022-12-01T11:00:34.6376162Z ---------------------------------------------------------------------- 2022-12-01T11:00:34.6376413Z Ran 1 test in 3.857s 2022-12-01T11:00:34.6376526Z 2022-12-01T11:00:34.6376586Z OK 2022-12-01T11:00:34.6376677Z 2022-12-01T11:00:34.6376797Z Generating XML reports... 2022-12-01T11:00:34.6377287Z Generated XML report: test-reports/python-unittest/test_itt/TEST-TestItt-20221201110030.xml 2022-12-01T11:00:34.6377507Z 2022-12-01T11:00:34.6377767Z ##[endgroup] 2022-12-01T11:00:34.6378114Z FINISHED PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_x7gf3c9b) 2022-12-01T11:00:34.6378367Z 2022-12-01T11:00:34.6378550Z Running test_numpy_interop ... [2022-12-01 11:00:34.637555] 2022-12-01T11:00:34.6380843Z Executing ['/opt/conda/bin/python', '-bb', 'test_numpy_interop.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:34.637881] 2022-12-01T11:00:37.9453629Z 2022-12-01T11:00:37.9454332Z Expand the folded group to see the log file of test_numpy_interop 2022-12-01T11:00:37.9455618Z ##[group]PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_mqtd3qea) 2022-12-01T11:00:37.9456430Z Test results will be stored in test-reports/python-unittest/test_numpy_interop 2022-12-01T11:00:37.9456619Z 2022-12-01T11:00:37.9456692Z Running tests... 2022-12-01T11:00:37.9457040Z ---------------------------------------------------------------------- 2022-12-01T11:00:37.9457736Z test_ctor_with_invalid_numpy_array_sequence_cpu (__main__.TestNumPyInteropCPU) ... test_numpy_interop.py:265: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:233.) 2022-12-01T11:00:37.9458426Z torch.tensor([np.random.random(size=(3, 3)), np.random.random(size=(3, 0))], device=device) 2022-12-01T11:00:37.9458967Z ok (0.109s) 2022-12-01T11:00:37.9459398Z test_ctor_with_numpy_scalar_ctor_cpu (__main__.TestNumPyInteropCPU) ... ok (0.006s) 2022-12-01T11:00:37.9460106Z test_from_list_of_ndarray_warning_cpu (__main__.TestNumPyInteropCPU) ... ok (0.488s) 2022-12-01T11:00:37.9460773Z test_from_numpy_cpu (__main__.TestNumPyInteropCPU) ... ok (0.063s) 2022-12-01T11:00:37.9461420Z test_has_storage_numpy_cpu (__main__.TestNumPyInteropCPU) ... ok (0.006s) 2022-12-01T11:00:37.9462089Z test_multiplication_numpy_scalar_cpu (__main__.TestNumPyInteropCPU) ... ok (0.019s) 2022-12-01T11:00:37.9462799Z test_numpy_array_interface_cpu (__main__.TestNumPyInteropCPU) ... ok (0.088s) 2022-12-01T11:00:37.9463458Z test_numpy_index_cpu (__main__.TestNumPyInteropCPU) ... ok (0.009s) 2022-12-01T11:00:37.9464087Z test_numpy_non_writeable_cpu (__main__.TestNumPyInteropCPU) ... ok (0.005s) 2022-12-01T11:00:37.9464767Z test_numpy_scalar_cmp_cpu_bfloat16 (__main__.TestNumPyInteropCPU) ... ok (0.029s) 2022-12-01T11:00:37.9465451Z test_numpy_scalar_cmp_cpu_bool (__main__.TestNumPyInteropCPU) ... ok (0.030s) 2022-12-01T11:00:37.9466432Z test_numpy_scalar_cmp_cpu_complex128 (__main__.TestNumPyInteropCPU) ... ok (0.195s) 2022-12-01T11:00:37.9467328Z test_numpy_scalar_cmp_cpu_complex64 (__main__.TestNumPyInteropCPU) ... test_numpy_interop.py:471: ComplexWarning: Casting complex values to real discards the imaginary part 2022-12-01T11:00:37.9468077Z self.assertFalse(t == a) 2022-12-01T11:00:37.9468474Z ok (0.039s) 2022-12-01T11:00:37.9468975Z test_numpy_scalar_cmp_cpu_float16 (__main__.TestNumPyInteropCPU) ... ok (0.030s) 2022-12-01T11:00:37.9469762Z test_numpy_scalar_cmp_cpu_float32 (__main__.TestNumPyInteropCPU) ... ok (0.029s) 2022-12-01T11:00:37.9470447Z test_numpy_scalar_cmp_cpu_float64 (__main__.TestNumPyInteropCPU) ... ok (0.029s) 2022-12-01T11:00:37.9471141Z test_numpy_scalar_cmp_cpu_int16 (__main__.TestNumPyInteropCPU) ... ok (0.030s) 2022-12-01T11:00:37.9471786Z test_numpy_scalar_cmp_cpu_int32 (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-12-01T11:00:37.9472449Z test_numpy_scalar_cmp_cpu_int64 (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-12-01T11:00:37.9473123Z test_numpy_scalar_cmp_cpu_int8 (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-12-01T11:00:37.9473777Z test_numpy_scalar_cmp_cpu_uint8 (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-12-01T11:00:37.9474451Z test_numpy_unresizable_cpu (__main__.TestNumPyInteropCPU) ... ok (0.019s) 2022-12-01T11:00:37.9475649Z test_parse_numpy_int_cpu (__main__.TestNumPyInteropCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT > test_numpy_interop.py line 411 2022-12-01T11:00:37.9476187Z due to: 2022-12-01T11:00:37.9476469Z Traceback (most recent call last): 2022-12-01T11:00:37.9476834Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/builder.py", line 441, in wrap_unspecialized_primitive 2022-12-01T11:00:37.9477136Z wrapped_value = torch.tensor(value) 2022-12-01T11:00:37.9477628Z TypeError: can't convert np.ndarray of type numpy.uint64. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool. 2022-12-01T11:00:37.9477887Z 2022-12-01T11:00:37.9478022Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:37.9478238Z ========== 2022-12-01T11:00:37.9478394Z ok (0.020s) 2022-12-01T11:00:37.9478612Z test_to_numpy_bool_cpu (__main__.TestNumPyInteropCPU) ... ok (0.023s) 2022-12-01T11:00:37.9478898Z test_to_numpy_cpu (__main__.TestNumPyInteropCPU) ... ok (0.226s) 2022-12-01T11:00:37.9479405Z test_to_numpy_force_argument_cpu (__main__.TestNumPyInteropCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_numpy_interop.py line 177 2022-12-01T11:00:37.9479709Z due to: 2022-12-01T11:00:37.9479891Z Traceback (most recent call last): 2022-12-01T11:00:37.9480277Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T11:00:37.9480619Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T11:00:37.9480954Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T11:00:37.9481158Z 2022-12-01T11:00:37.9481293Z The above exception was the direct cause of the following exception: 2022-12-01T11:00:37.9481458Z 2022-12-01T11:00:37.9481548Z Traceback (most recent call last): 2022-12-01T11:00:37.9481818Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T11:00:37.9482061Z ) from e 2022-12-01T11:00:37.9482396Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T11:00:37.9482653Z 2022-12-01T11:00:37.9482783Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:37.9482987Z ========== 2022-12-01T11:00:37.9483307Z torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_numpy_interop.py line 178 2022-12-01T11:00:37.9483556Z due to: 2022-12-01T11:00:37.9483783Z Traceback (most recent call last): 2022-12-01T11:00:37.9484171Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 206, in from_real_tensor 2022-12-01T11:00:37.9484517Z raise UnsupportedFakeTensorException("meta converter nyi") 2022-12-01T11:00:37.9484854Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi 2022-12-01T11:00:37.9485059Z 2022-12-01T11:00:37.9485194Z The above exception was the direct cause of the following exception: 2022-12-01T11:00:37.9485358Z 2022-12-01T11:00:37.9485450Z Traceback (most recent call last): 2022-12-01T11:00:37.9485770Z File "/var/lib/jenkins/torchdynamo/torchdynamo/utils.py", line 697, in wrap_fake_exception 2022-12-01T11:00:37.9486002Z ) from e 2022-12-01T11:00:37.9486432Z torchdynamo.exc.FakeTensorError: Unsupported: meta converter nyi with fake tensor propagation. Run with config.fake_tensor_propagation=False 2022-12-01T11:00:37.9486687Z 2022-12-01T11:00:37.9486817Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:37.9487205Z ========== 2022-12-01T11:00:37.9487351Z ok (0.047s) 2022-12-01T11:00:37.9487453Z 2022-12-01T11:00:37.9487679Z ---------------------------------------------------------------------- 2022-12-01T11:00:37.9487922Z Ran 26 tests in 1.618s 2022-12-01T11:00:37.9488034Z 2022-12-01T11:00:37.9488081Z OK 2022-12-01T11:00:37.9488171Z 2022-12-01T11:00:37.9488255Z Generating XML reports... 2022-12-01T11:00:37.9488681Z Generated XML report: test-reports/python-unittest/test_numpy_interop/TEST-TestNumPyInteropCPU-20221201110036.xml 2022-12-01T11:00:37.9488928Z 2022-12-01T11:00:37.9489189Z ##[endgroup] 2022-12-01T11:00:37.9489581Z FINISHED PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_mqtd3qea) 2022-12-01T11:00:37.9489802Z 2022-12-01T11:00:37.9489994Z Running test_cpp_extensions_aot_no_ninja ... [2022-12-01 11:00:37.945814] 2022-12-01T11:00:39.0246832Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T11:00:39.4291437Z running install 2022-12-01T11:00:39.4292350Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-12-01T11:00:39.4292789Z setuptools.SetuptoolsDeprecationWarning, 2022-12-01T11:00:39.4400604Z running build 2022-12-01T11:00:39.4400823Z running build_py 2022-12-01T11:00:39.4463400Z creating build 2022-12-01T11:00:39.4464006Z creating build/lib.linux-x86_64-cpython-37 2022-12-01T11:00:39.4464666Z creating build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension 2022-12-01T11:00:39.4465152Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension 2022-12-01T11:00:39.4466436Z running build_ext 2022-12-01T11:00:39.4478714Z building 'torch_test_cpp_extension.cpp' extension 2022-12-01T11:00:39.4479369Z creating build/temp.linux-x86_64-cpython-37 2022-12-01T11:00:39.4482121Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c extension.cpp -o build/temp.linux-x86_64-cpython-37/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-12-01T11:00:40.4505178Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-12-01T11:00:40.4505704Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/Exceptions.h:13:0, 2022-12-01T11:00:40.4506189Z from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2022-12-01T11:00:40.4506798Z from /opt/conda/lib/python3.7/site-packages/torch/include/torch/extension.h:6, 2022-12-01T11:00:40.4507051Z from extension.cpp:1: 2022-12-01T11:00:40.4507584Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2022-12-01T11:00:40.4507924Z extension.cpp:36:53: required from here 2022-12-01T11:00:40.4508655Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than the type of its field ‘pybind11::class_::’ [-Wattributes] 2022-12-01T11:00:40.4510395Z class class_ : public detail::generic_type { 2022-12-01T11:00:40.4510597Z ^~~~~~ 2022-12-01T11:00:40.4511201Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2022-12-01T11:00:40.4515820Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so 2022-12-01T11:00:40.7153764Z building 'torch_test_cpp_extension.ort' extension 2022-12-01T11:00:40.7155878Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-37/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-12-01T11:00:41.6172230Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-12-01T11:00:41.6182665Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/ort_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so 2022-12-01T11:00:41.8791415Z building 'torch_test_cpp_extension.rng' extension 2022-12-01T11:00:41.8794419Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-37/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-12-01T11:00:42.9074586Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-12-01T11:00:42.9075160Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0, 2022-12-01T11:00:42.9075797Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2022-12-01T11:00:42.9076220Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2022-12-01T11:00:42.9076682Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8, 2022-12-01T11:00:42.9076972Z from rng_extension.cpp:6: 2022-12-01T11:00:42.9077476Z /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec_base.h:976:0: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2022-12-01T11:00:42.9077782Z # pragma unroll 2022-12-01T11:00:42.9077933Z 2022-12-01T11:00:42.9084340Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/rng_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so 2022-12-01T11:00:43.1749498Z running install_lib 2022-12-01T11:00:43.1815666Z creating install 2022-12-01T11:00:43.1816209Z creating install/opt 2022-12-01T11:00:43.1816582Z creating install/opt/conda 2022-12-01T11:00:43.1818356Z creating install/opt/conda/lib 2022-12-01T11:00:43.1819305Z creating install/opt/conda/lib/python3.7 2022-12-01T11:00:43.1819901Z creating install/opt/conda/lib/python3.7/site-packages 2022-12-01T11:00:43.1820304Z creating install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-12-01T11:00:43.1820888Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-12-01T11:00:43.1821554Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-12-01T11:00:43.1878286Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-12-01T11:00:43.1933693Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-12-01T11:00:43.1999064Z byte-compiling ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-37.pyc 2022-12-01T11:00:43.2000415Z running install_egg_info 2022-12-01T11:00:43.2147379Z running egg_info 2022-12-01T11:00:43.2147944Z creating torch_test_cpp_extension.egg-info 2022-12-01T11:00:43.2196776Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2022-12-01T11:00:43.2198967Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2022-12-01T11:00:43.2201157Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2022-12-01T11:00:43.2202105Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-12-01T11:00:43.2255449Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-12-01T11:00:43.2261294Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-12-01T11:00:43.2262205Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension-0.0.0-py3.7.egg-info 2022-12-01T11:00:43.2265715Z running install_scripts 2022-12-01T11:00:44.6387774Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T11:00:44.6684074Z running install 2022-12-01T11:00:44.6685815Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-12-01T11:00:44.6686681Z setuptools.SetuptoolsDeprecationWarning, 2022-12-01T11:00:44.6797881Z running build 2022-12-01T11:00:44.6798216Z running build_ext 2022-12-01T11:00:44.7176605Z building 'no_python_abi_suffix_test' extension 2022-12-01T11:00:44.7176997Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build 2022-12-01T11:00:44.7177525Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37 2022-12-01T11:00:44.7540879Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/build.ninja... 2022-12-01T11:00:44.7541935Z Compiling objects... 2022-12-01T11:00:44.7542412Z Using envvar MAX_JOBS (6) as the number of workers... 2022-12-01T11:00:44.8258699Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -I/opt/conda/include/python3.7m -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-12-01T11:00:44.8260362Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-12-01T11:00:44.8303795Z creating build/lib.linux-x86_64-cpython-37 2022-12-01T11:00:44.8306084Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so 2022-12-01T11:00:44.9775003Z running install_lib 2022-12-01T11:00:44.9838615Z creating install 2022-12-01T11:00:44.9838953Z creating install/opt 2022-12-01T11:00:44.9839293Z creating install/opt/conda 2022-12-01T11:00:44.9839833Z creating install/opt/conda/lib 2022-12-01T11:00:44.9840242Z creating install/opt/conda/lib/python3.7 2022-12-01T11:00:44.9840794Z creating install/opt/conda/lib/python3.7/site-packages 2022-12-01T11:00:44.9841589Z copying build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.7/site-packages 2022-12-01T11:00:44.9847251Z running install_egg_info 2022-12-01T11:00:44.9983429Z running egg_info 2022-12-01T11:00:44.9983822Z creating no_python_abi_suffix_test.egg-info 2022-12-01T11:00:45.0034255Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2022-12-01T11:00:45.0036628Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2022-12-01T11:00:45.0038747Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2022-12-01T11:00:45.0039989Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-12-01T11:00:45.0090762Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-12-01T11:00:45.0096414Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-12-01T11:00:45.0097155Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.7/site-packages/no_python_abi_suffix_test-0.0.0-py3.7.egg-info 2022-12-01T11:00:45.0101376Z running install_scripts 2022-12-01T11:00:45.2622998Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:45.261902] 2022-12-01T11:00:47.9201241Z 2022-12-01T11:00:47.9201854Z Expand the folded group to see the log file of test_cpp_extensions_aot_no_ninja 2022-12-01T11:00:47.9203269Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_69i81eio) 2022-12-01T11:00:47.9204288Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_no_ninja 2022-12-01T11:00:47.9206811Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-12-01T11:00:47.9207246Z 2022-12-01T11:00:47.9207394Z Running tests... 2022-12-01T11:00:47.9207959Z ---------------------------------------------------------------------- 2022-12-01T11:00:47.9208250Z test_backward (__main__.TestCppExtensionAOT) ... ok (0.188s) 2022-12-01T11:00:47.9208558Z test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.001s) 2022-12-01T11:00:47.9208900Z test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.001s) 2022-12-01T11:00:47.9209254Z test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-12-01T11:00:47.9209581Z test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-12-01T11:00:47.9209896Z test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.014s) 2022-12-01T11:00:47.9210188Z test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.019s) 2022-12-01T11:00:47.9210508Z test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.002s) 2022-12-01T11:00:47.9210820Z test_optional (__main__.TestCppExtensionAOT) ... ok (0.014s) 2022-12-01T11:00:47.9211072Z test_add (__main__.TestORTTensor) ... ok (0.030s) 2022-12-01T11:00:47.9211318Z test_conv_backend_override (__main__.TestORTTensor) ... ok (0.060s) 2022-12-01T11:00:47.9211592Z test_unregistered (__main__.TestORTTensor) ... ok (0.011s) 2022-12-01T11:00:47.9211841Z test_zeros (__main__.TestORTTensor) ... ok (0.006s) 2022-12-01T11:00:47.9212333Z test_rng (__main__.TestRNGExtension) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_cpp_extensions_aot_no_ninja.py line 195 2022-12-01T11:00:47.9212629Z due to: 2022-12-01T11:00:47.9212811Z Traceback (most recent call last): 2022-12-01T11:00:47.9213087Z File "/var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py", line 270, in create 2022-12-01T11:00:47.9213505Z ), f"torch.* op returned non-Tensor {typestr(example_value)} {proxy.node.op} {proxy.node.target}" 2022-12-01T11:00:47.9213944Z AssertionError: torch.* op returned non-Tensor Generator call_function 2022-12-01T11:00:47.9214141Z 2022-12-01T11:00:47.9214210Z from user code: 2022-12-01T11:00:47.9214477Z File "test_cpp_extensions_aot_no_ninja.py", line 197, in 2022-12-01T11:00:47.9214770Z gen = torch.Generator(device='cpu') 2022-12-01T11:00:47.9214902Z 2022-12-01T11:00:47.9215034Z Set torchdynamo.config.verbose=True for more information 2022-12-01T11:00:47.9215256Z ========== 2022-12-01T11:00:47.9215402Z ok (0.016s) 2022-12-01T11:00:47.9215644Z test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s) 2022-12-01T11:00:47.9215817Z 2022-12-01T11:00:47.9216018Z ---------------------------------------------------------------------- 2022-12-01T11:00:47.9216260Z Ran 15 tests in 0.431s 2022-12-01T11:00:47.9216359Z 2022-12-01T11:00:47.9216427Z OK (skipped=5) 2022-12-01T11:00:47.9216533Z 2022-12-01T11:00:47.9216616Z Generating XML reports... 2022-12-01T11:00:47.9217058Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221201110047.xml 2022-12-01T11:00:47.9217597Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221201110047.xml 2022-12-01T11:00:47.9218245Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221201110047.xml 2022-12-01T11:00:47.9218792Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221201110047.xml 2022-12-01T11:00:47.9219029Z 2022-12-01T11:00:47.9219279Z ##[endgroup] 2022-12-01T11:00:47.9219713Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_69i81eio) 2022-12-01T11:00:47.9219957Z 2022-12-01T11:00:47.9220176Z Running lazy/test_bindings ... [2022-12-01 11:00:47.920448] 2022-12-01T11:00:47.9220650Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_bindings.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:47.920856] 2022-12-01T11:00:48.7653145Z 2022-12-01T11:00:48.7653666Z Expand the folded group to see the log file of lazy/test_bindings 2022-12-01T11:00:48.7654379Z ##[group]PRINTING LOG FILE of lazy/test_bindings (/var/lib/jenkins/workspace/test/test-reports/lazy-test_bindings_749ay5l8) 2022-12-01T11:00:48.7654618Z 2022-12-01T11:00:48.7654830Z ##[endgroup] 2022-12-01T11:00:48.7655307Z FINISHED PRINTING LOG FILE of lazy/test_bindings (/var/lib/jenkins/workspace/test/test-reports/lazy-test_bindings_749ay5l8) 2022-12-01T11:00:48.7655524Z 2022-12-01T11:00:48.7657003Z Running lazy/test_meta_kernel ... [2022-12-01 11:00:48.765536] 2022-12-01T11:00:48.7660217Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_meta_kernel.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:48.765859] 2022-12-01T11:00:50.1829994Z 2022-12-01T11:00:50.1830500Z Expand the folded group to see the log file of lazy/test_meta_kernel 2022-12-01T11:00:50.1831288Z ##[group]PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_i6u59oc1) 2022-12-01T11:00:50.1831537Z 2022-12-01T11:00:50.1831768Z ##[endgroup] 2022-12-01T11:00:50.1832324Z FINISHED PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_i6u59oc1) 2022-12-01T11:00:50.1832550Z 2022-12-01T11:00:50.1834678Z Running test_cuda_sanitizer ... [2022-12-01 11:00:50.183277] 2022-12-01T11:00:50.1837527Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_sanitizer.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:50.183588] 2022-12-01T11:00:51.6038548Z 2022-12-01T11:00:51.6039112Z Expand the folded group to see the log file of test_cuda_sanitizer 2022-12-01T11:00:51.6040275Z ##[group]PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_95rjpdsd) 2022-12-01T11:00:51.6040665Z CUDA not available, skipping tests 2022-12-01T11:00:51.6040799Z 2022-12-01T11:00:51.6040859Z Running tests... 2022-12-01T11:00:51.6041315Z ---------------------------------------------------------------------- 2022-12-01T11:00:51.6041498Z 2022-12-01T11:00:51.6041698Z ---------------------------------------------------------------------- 2022-12-01T11:00:51.6041979Z Ran 0 tests in 0.000s 2022-12-01T11:00:51.6042128Z 2022-12-01T11:00:51.6042222Z OK 2022-12-01T11:00:51.6042355Z 2022-12-01T11:00:51.6042479Z Generating XML reports... 2022-12-01T11:00:51.6042882Z Test results will be stored in test-reports/python-unittest/test_cuda_sanitizer 2022-12-01T11:00:51.6043069Z 2022-12-01T11:00:51.6043280Z ##[endgroup] 2022-12-01T11:00:51.6043737Z FINISHED PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_95rjpdsd) 2022-12-01T11:00:51.6043966Z 2022-12-01T11:00:51.6044134Z Running test_deploy ... [2022-12-01 11:00:51.604129] 2022-12-01T11:00:51.6046475Z Executing ['/opt/conda/bin/python', '-bb', '-m', 'pytest', 'test_deploy.py', '-v'] ... [2022-12-01 11:00:51.604485] 2022-12-01T11:00:59.1654931Z 2022-12-01T11:00:59.1655587Z Expand the folded group to see the log file of test_deploy 2022-12-01T11:00:59.1656995Z ##[group]PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_hlaf485y) 2022-12-01T11:00:59.1657582Z ============================= test session starts ============================== 2022-12-01T11:00:59.1658281Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python 2022-12-01T11:00:59.1658648Z cachedir: .pytest_cache 2022-12-01T11:00:59.1659382Z hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/var/lib/jenkins/workspace/test/.hypothesis/examples') 2022-12-01T11:00:59.1659992Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-12-01T11:00:59.1660801Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T11:00:59.1661291Z collecting ... collected 1 item 2022-12-01T11:00:59.1661742Z Running 1 items in this shard: test/test_deploy.py::TestFreezer::test_compile_string 2022-12-01T11:00:59.1662022Z 2022-12-01T11:00:59.1662256Z test_deploy.py::TestFreezer::test_compile_string PASSED [100%] 2022-12-01T11:00:59.1662502Z 2022-12-01T11:00:59.1662675Z ============================== 1 passed in 6.60s =============================== 2022-12-01T11:00:59.1662875Z 2022-12-01T11:00:59.1663276Z ##[endgroup] 2022-12-01T11:00:59.1663898Z FINISHED PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_hlaf485y) 2022-12-01T11:00:59.1664190Z 2022-12-01T11:00:59.1664459Z Running test_jiterator ... [2022-12-01 11:00:59.165810] 2022-12-01T11:00:59.1665107Z Executing ['/opt/conda/bin/python', '-bb', 'test_jiterator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-12-01 11:00:59.166217] 2022-12-01T11:01:00.9137401Z 2022-12-01T11:01:00.9137948Z Expand the folded group to see the log file of test_jiterator 2022-12-01T11:01:00.9139109Z ##[group]PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_dycw1aj5) 2022-12-01T11:01:00.9139461Z CUDA not available, skipping tests 2022-12-01T11:01:00.9139594Z 2022-12-01T11:01:00.9139665Z Running tests... 2022-12-01T11:01:00.9140068Z ---------------------------------------------------------------------- 2022-12-01T11:01:00.9140312Z 2022-12-01T11:01:00.9140558Z ---------------------------------------------------------------------- 2022-12-01T11:01:00.9140800Z Ran 0 tests in 0.000s 2022-12-01T11:01:00.9140913Z 2022-12-01T11:01:00.9140973Z OK 2022-12-01T11:01:00.9141064Z 2022-12-01T11:01:00.9141135Z Generating XML reports... 2022-12-01T11:01:00.9141461Z Test results will be stored in test-reports/python-unittest/test_jiterator 2022-12-01T11:01:00.9141637Z 2022-12-01T11:01:00.9141872Z ##[endgroup] 2022-12-01T11:01:00.9142248Z FINISHED PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_dycw1aj5) 2022-12-01T11:01:00.9142461Z 2022-12-01T11:01:00.9142621Z Running doctests ... [2022-12-01 11:01:00.913958] 2022-12-01T11:01:00.9503829Z Start doctest_module('/opt/conda/lib/python3.7/site-packages/torch') 2022-12-01T11:01:00.9504122Z Listing tests 2022-12-01T11:01:04.0008916Z msg = Cannot scrape callname=DiagnosticEngine in modpath=/opt/conda/lib/python3.7/site-packages/torch/onnx/_internal/diagnostics/infra/engine.py line=13. 2022-12-01T11:01:04.0009794Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2022-12-01T11:01:04.0010294Z A generic diagnostic engine based on SARIF. 2022-12-01T11:01:04.0010594Z 2022-12-01T11:01:04.0010883Z This class is the main interface for diagnostics. It manages the creation of diagnostic contexts. 2022-12-01T11:01:04.0011516Z A DiagnosticContext provides the entry point for recording Diagnostics. 2022-12-01T11:01:04.0012126Z Each DiagnosticContext is powered by a DiagnosticTool, which can be customized with 2022-12-01T11:01:04.0012628Z custom RuleCollection and Diagnostic type. 2022-12-01T11:01:04.0013113Z See infra.DiagnosticContext and infra.DiagnosticTool for more details. 2022-12-01T11:01:04.0013747Z 2022-12-01T11:01:04.0013865Z Examples: 2022-12-01T11:01:04.0014190Z Step 1: Create a set of rules. 2022-12-01T11:01:04.0014580Z >>> rules = infra.RuleCollection.from_list( 2022-12-01T11:01:04.0014982Z ... "CustomRuleCollection", 2022-12-01T11:01:04.0015315Z ... [ 2022-12-01T11:01:04.0015576Z ... infra.Rule( 2022-12-01T11:01:04.0015876Z ... id="r1", 2022-12-01T11:01:04.0016328Z ... name="rule-1", 2022-12-01T11:01:04.0016698Z ... message_default_template="Mising xxx", 2022-12-01T11:01:04.0017052Z ... ), 2022-12-01T11:01:04.0017487Z ... ], 2022-12-01T11:01:04.0017761Z ... ) 2022-12-01T11:01:04.0017924Z 2022-12-01T11:01:04.0018098Z Step 2: Create a diagnostic tool. 2022-12-01T11:01:04.0018496Z >>> tool = infra.DiagnosticTool( 2022-12-01T11:01:04.0018853Z ... name="tool", 2022-12-01T11:01:04.0019167Z ... version="1.0.0", 2022-12-01T11:01:04.0019501Z ... rules=rules, 2022-12-01T11:01:04.0019801Z ... ) 2022-12-01T11:01:04.0019962Z 2022-12-01T11:01:04.0020139Z Step 3: Create a diagnostic engine. 2022-12-01T11:01:04.0020503Z >>> engine = DiagnosticEngine() 2022-12-01T11:01:04.0020708Z 2022-12-01T11:01:04.0020872Z Step 4: Start a new diagnostic context. 2022-12-01T11:01:04.0021277Z >>> with engine.start_diagnostic_context(tool) as context: 2022-12-01T11:01:04.0021556Z 2022-12-01T11:01:04.0021735Z Step 5: Add diagnostics in your code. 2022-12-01T11:01:04.0022184Z ... context.diagnose(rules.rule1, infra.Level.ERROR) 2022-12-01T11:01:04.0022475Z 2022-12-01T11:01:04.0022661Z Step 6: Afterwards, get the SARIF log. 2022-12-01T11:01:04.0023047Z >>> sarif_log = engine.sarif_log() 2022-12-01T11:01:04.0023374Z 2022-12-01T11:01:04.0024181Z Original Error: SyntaxError('unexpected EOF while parsing', ('', 1, 55, 'with engine.start_diagnostic_context(tool) as context:\n')) 2022-12-01T11:01:04.0024620Z 2022-12-01T11:01:04.0024822Z with engine.start_diagnostic_context(tool) as context: 2022-12-01T11:01:04.0025234Z ^ 2022-12-01T11:01:05.8381965Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/__init__.py is_tensor:0 2022-12-01T11:01:05.8382681Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/__init__.py set_default_tensor_type:0 2022-12-01T11:01:05.8383332Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/__init__.py set_default_dtype:0 2022-12-01T11:01:05.8384034Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/__init__.py use_deterministic_algorithms:0 2022-12-01T11:01:05.8384771Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_C.cpython-37m-x86_64-linux-gnu.so Generator:0 2022-12-01T11:01:05.8385638Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_C.cpython-37m-x86_64-linux-gnu.so _LinAlgError:0 2022-12-01T11:01:05.8386347Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_namedtensor_internals.py update_names:0 2022-12-01T11:01:05.8387146Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_tensor.py Tensor.register_hook:0 2022-12-01T11:01:05.8387819Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_tensor.py Tensor.refine_names:0 2022-12-01T11:01:05.8404823Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_tensor.py Tensor.align_to:0 2022-12-01T11:01:05.8405783Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_tensor.py Tensor.rename:0 2022-12-01T11:01:05.8406586Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_tensor.py Tensor.to_sparse_coo:0 2022-12-01T11:01:05.8407492Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py set_printoptions:0 2022-12-01T11:01:05.8408130Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_vmap_internals.py vmap:0 2022-12-01T11:01:05.8409015Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py broadcast_tensors:0 2022-12-01T11:01:05.8409703Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py broadcast_shapes:0 2022-12-01T11:01:05.8410352Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py split:0 2022-12-01T11:01:05.8410958Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py einsum:0 2022-12-01T11:01:05.8411737Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py meshgrid:0 2022-12-01T11:01:05.8412398Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py _unique_impl:0 2022-12-01T11:01:05.8413110Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py _unique_consecutive_impl:0 2022-12-01T11:01:05.8413804Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py tensordot:0 2022-12-01T11:01:05.8414563Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py cartesian_prod:0 2022-12-01T11:01:05.8415298Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py block_diag:0 2022-12-01T11:01:05.8415965Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py cdist:0 2022-12-01T11:01:05.8416630Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py atleast_1d:0 2022-12-01T11:01:05.8417394Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py atleast_2d:0 2022-12-01T11:01:05.8418196Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py atleast_3d:0 2022-12-01T11:01:05.8418973Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py norm:0 2022-12-01T11:01:05.8419759Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py chain_matmul:0 2022-12-01T11:01:05.8420550Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/functional.py _lu_impl:0 2022-12-01T11:01:05.8421266Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/hub.py list:0 2022-12-01T11:01:05.8421986Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/hub.py help:0 2022-12-01T11:01:05.8422705Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/hub.py load:0 2022-12-01T11:01:05.8423429Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/hub.py _load_local:0 2022-12-01T11:01:05.8424189Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/hub.py download_url_to_file:0 2022-12-01T11:01:05.8425000Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/hub.py load_state_dict_from_url:0 2022-12-01T11:01:05.8425790Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/library.py Library.define:0 2022-12-01T11:01:05.8426583Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/library.py Library.impl:0 2022-12-01T11:01:05.8427401Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/overrides.py get_ignored_functions:0 2022-12-01T11:01:05.8428229Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/overrides.py get_testing_overrides:0 2022-12-01T11:01:05.8429057Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/overrides.py wrap_torch_function:0 2022-12-01T11:01:05.8429884Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/overrides.py handle_torch_function:0 2022-12-01T11:01:05.8430757Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/overrides.py is_tensor_method_or_property:0 2022-12-01T11:01:05.8431602Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/overrides.py is_tensor_like:0 2022-12-01T11:01:05.8432399Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/quasirandom.py SobolEngine:0 2022-12-01T11:01:05.8433317Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/serialization.py save:0 2022-12-01T11:01:05.8434088Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/serialization.py load:0 2022-12-01T11:01:05.8434888Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/torch_version.py TorchVersion:0 2022-12-01T11:01:05.8435697Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py Future.then:0 2022-12-01T11:01:05.8436525Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py Future.add_done_callback:0 2022-12-01T11:01:05.8437454Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py Future.set_result:0 2022-12-01T11:01:05.8438306Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py Future.set_exception:0 2022-12-01T11:01:05.8439119Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py collect_all:0 2022-12-01T11:01:05.8439908Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py annotate:0 2022-12-01T11:01:05.8440682Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py strict_fusion:0 2022-12-01T11:01:05.8441504Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/monitor/__init__.py TensorboardEventHandler:0 2022-12-01T11:01:05.8442334Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py nested_tensor:0 2022-12-01T11:01:05.8443149Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py as_nested_tensor:0 2022-12-01T11:01:05.8443935Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/sparse/__init__.py sum:0 2022-12-01T11:01:05.8444762Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_prims/context.py NvfuserPrimsMode:0 2022-12-01T11:01:05.8445583Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/_prims/context.py TorchRefsMode:0 2022-12-01T11:01:05.8446534Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantizable/modules/rnn.py LSTMCell:0 2022-12-01T11:01:05.8447532Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantizable/modules/rnn.py LSTM:0 2022-12-01T11:01:05.8448370Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py conv1d:0 2022-12-01T11:01:05.8449205Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py conv2d:0 2022-12-01T11:01:05.8450056Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py conv3d:0 2022-12-01T11:01:05.8450897Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/__init__.py Quantize:0 2022-12-01T11:01:05.8451755Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/__init__.py DeQuantize:0 2022-12-01T11:01:05.8452642Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv1d:0 2022-12-01T11:01:05.8453519Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv2d:0 2022-12-01T11:01:05.8454387Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv3d:0 2022-12-01T11:01:05.8455286Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py ConvTranspose1d:0 2022-12-01T11:01:05.8456222Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py ConvTranspose2d:0 2022-12-01T11:01:05.8457180Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py ConvTranspose3d:0 2022-12-01T11:01:05.8458105Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py Linear:0 2022-12-01T11:01:05.8459124Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py LSTM:0 2022-12-01T11:01:05.8460000Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py GRU:0 2022-12-01T11:01:05.8460893Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py RNNCell:0 2022-12-01T11:01:05.8461787Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py LSTMCell:0 2022-12-01T11:01:05.8462764Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py GRUCell:0 2022-12-01T11:01:05.8463652Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/activation.py ReLU6:0 2022-12-01T11:01:05.8464521Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py Conv1d:0 2022-12-01T11:01:05.8465373Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py Conv2d:0 2022-12-01T11:01:05.8466201Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py Conv3d:0 2022-12-01T11:01:05.8467073Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py ConvTranspose1d:0 2022-12-01T11:01:05.8467964Z python -m xdoctest 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2022-12-01T11:01:05.8653702Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py is_masked_tensor:0 2022-12-01T11:01:05.8654180Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py fractional_max_pool2d_with_indices:0 2022-12-01T11:01:05.8654676Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py fractional_max_pool3d_with_indices:0 2022-12-01T11:01:05.8655139Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py gumbel_softmax:0 2022-12-01T11:01:05.8655573Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py embedding:0 2022-12-01T11:01:05.8655999Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py embedding_bag:0 2022-12-01T11:01:05.8656432Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py ctc_loss:0 2022-12-01T11:01:05.8656853Z python -m xdoctest 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xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py CUDAExtension:0 2022-12-01T11:01:05.8762833Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py CUDAExtension:1 2022-12-01T11:01:05.8763259Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py load:0 2022-12-01T11:01:05.8763704Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py load_inline:0 2022-12-01T11:01:05.8764136Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/dlpack.py from_dlpack:0 2022-12-01T11:01:05.8764612Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/throughput_benchmark.py ThroughputBenchmark:0 2022-12-01T11:01:05.8765082Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/dataset.py IterableDataset:0 2022-12-01T11:01:05.8765535Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/dataset.py random_split:0 2022-12-01T11:01:05.8766083Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/distributed.py DistributedSampler:0 2022-12-01T11:01:05.8766582Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/sampler.py WeightedRandomSampler:0 2022-12-01T11:01:05.8767142Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/sampler.py BatchSampler:0 2022-12-01T11:01:05.8767610Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py default_convert:0 2022-12-01T11:01:05.8768071Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py collate:0 2022-12-01T11:01:05.8768534Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py default_collate:0 2022-12-01T11:01:05.8769003Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/datapipe.py IterDataPipe:0 2022-12-01T11:01:05.8769488Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/datapipe.py MapDataPipe:0 2022-12-01T11:01:05.8769994Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/callable.py MapperIterDataPipe:0 2022-12-01T11:01:05.8770503Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/callable.py CollatorIterDataPipe:0 2022-12-01T11:01:05.8771042Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combinatorics.py ShufflerIterDataPipe:0 2022-12-01T11:01:05.8771643Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py ConcaterIterDataPipe:0 2022-12-01T11:01:05.8772173Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py ForkerIterDataPipe:0 2022-12-01T11:01:05.8772672Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py _ChildDataPipe:0 2022-12-01T11:01:05.8773204Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py DemultiplexerIterDataPipe:0 2022-12-01T11:01:05.8773792Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py MultiplexerIterDataPipe:0 2022-12-01T11:01:05.8774325Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py ZipperIterDataPipe:0 2022-12-01T11:01:05.8774847Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/filelister.py FileListerIterDataPipe:0 2022-12-01T11:01:05.8775390Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/fileopener.py FileOpenerIterDataPipe:0 2022-12-01T11:01:05.8775914Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py BatcherIterDataPipe:0 2022-12-01T11:01:05.8776435Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py UnBatcherIterDataPipe:0 2022-12-01T11:01:05.8776945Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py GrouperIterDataPipe:0 2022-12-01T11:01:05.8777457Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/selecting.py FilterIterDataPipe:0 2022-12-01T11:01:05.8777993Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/streamreader.py StreamReaderIterDataPipe:0 2022-12-01T11:01:05.8778549Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/utils.py IterableWrapperIterDataPipe:0 2022-12-01T11:01:05.8779066Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/callable.py MapperMapDataPipe:0 2022-12-01T11:01:05.8779597Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combinatorics.py ShufflerIterDataPipe:0 2022-12-01T11:01:05.8780126Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combining.py ConcaterMapDataPipe:0 2022-12-01T11:01:05.8780643Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combining.py ZipperMapDataPipe:0 2022-12-01T11:01:05.8781144Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/grouping.py BatcherMapDataPipe:0 2022-12-01T11:01:05.8781677Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/utils.py SequenceWrapperMapDataPipe:0 2022-12-01T11:01:05.8782199Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py validate_input_col:0 2022-12-01T11:01:05.8782692Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/hipify/hipify_python.py find_closure_group:0 2022-12-01T11:01:05.8783170Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/hipify/hipify_python.py replace_extern_shared:0 2022-12-01T11:01:05.8783670Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.__init__:0 2022-12-01T11:01:05.8784170Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_hparams:0 2022-12-01T11:01:05.8784670Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_scalar:0 2022-12-01T11:01:05.8785191Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_scalars:0 2022-12-01T11:01:05.8785697Z python -m xdoctest 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2022-12-01T11:01:05.8789274Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_custom_scalars_multilinechart:0 2022-12-01T11:01:05.8789829Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_custom_scalars_marginchart:0 2022-12-01T11:01:05.8790363Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_custom_scalars:0 2022-12-01T11:01:05.8790867Z python -m xdoctest /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_mesh:0 2022-12-01T11:01:06.1135221Z 2022-12-01T11:01:06.1135808Z real 53m4.342s 2022-12-01T11:01:06.1136268Z user 135m15.938s 2022-12-01T11:01:06.1136590Z sys 6m18.445s 2022-12-01T11:01:06.1136839Z + assert_git_not_dirty 2022-12-01T11:01:06.1137226Z + [[ linux-bionic-py3.7-clang9 != *rocm* ]] 2022-12-01T11:01:06.1137565Z + [[ linux-bionic-py3.7-clang9 != *xla* ]] 2022-12-01T11:01:06.1138332Z ++ git status --porcelain 2022-12-01T11:01:17.6405412Z + git_status= 2022-12-01T11:01:17.6405960Z + [[ -n '' ]] 2022-12-01T11:01:17.6406345Z + test_dynamo 2022-12-01T11:01:17.6406562Z + pushd ../torchdynamo 2022-12-01T11:01:17.6429929Z ~/torchdynamo ~/workspace 2022-12-01T11:01:17.6430188Z + pytest test 2022-12-01T11:01:17.9736703Z ============================= test session starts ============================== 2022-12-01T11:01:17.9737104Z platform linux -- Python 3.7.13, pytest-7.1.3, pluggy-1.0.0 2022-12-01T11:01:17.9810878Z rootdir: /var/lib/jenkins/torchdynamo, configfile: pytest.ini, testpaths: test 2022-12-01T11:01:17.9811558Z plugins: hypothesis-5.35.1, forked-1.4.0, rerunfailures-10.2, shard-0.1.2, xdist-2.5.0, xdoctest-1.0.2 2022-12-01T11:01:19.0545796Z collecting ...  2022-12-01T11:01:19.9074398Z collecting 8 items  2022-12-01T11:01:21.1067266Z collecting 1132 items / 1 skipped  2022-12-01T11:01:21.1350387Z collecting 1132 items / 2 skipped  2022-12-01T11:01:21.1350822Z collected 1245 items / 2 skipped  2022-12-01T11:01:21.1351071Z Running 1245 items in this shard 2022-12-01T11:01:21.1384912Z 2022-12-01T11:01:21.1461065Z test/test_aot_cudagraphs.py ssssssss [ 0%] 2022-12-01T11:01:21.1505555Z test/test_distributed.py sssssss [ 1%] 2022-12-01T11:01:21.6310781Z test/test_dynamic_shapes.py ..s......................s.............s.... [ 4%] 2022-12-01T11:01:22.1502285Z ................................ss........ss...............sss.......... [ 10%] 2022-12-01T11:01:23.2881575Z .........................................s...........................s.. [ 16%] 2022-12-01T11:01:25.2320858Z ...........s...........................s.s....................s..x...... [ 22%] 2022-12-01T11:01:26.3320733Z ............................................................s......... [ 27%] 2022-12-01T11:01:26.9818441Z test/test_export.py ..................................... [ 30%] 2022-12-01T11:01:27.3504997Z test/test_functions.py ................................................. [ 34%] 2022-12-01T11:01:27.7181979Z .................................................... [ 38%] 2022-12-01T11:01:27.7928726Z test/test_global.py ........... [ 39%] 2022-12-01T11:01:28.3448042Z test/test_misc.py .s.ss................................................. [ 44%] 2022-12-01T11:01:30.3614815Z ..s...........................s...................................... [ 49%] 2022-12-01T11:01:30.3705158Z test/test_model_output.py ssssssss [ 50%] 2022-12-01T11:01:31.0908912Z test/test_modules.py ............................................... [ 53%] 2022-12-01T11:01:31.3947603Z test/test_no_fake_tensors.py ........................................... [ 57%] 2022-12-01T11:01:31.8927669Z ............................................................sss......... [ 63%] 2022-12-01T11:01:32.8865307Z ..........................................s...........................s. [ 68%] 2022-12-01T11:01:35.0792545Z ...............................................................s..x..... [ 74%] 2022-12-01T11:01:35.8609277Z .............................................................s......... [ 80%] 2022-12-01T11:01:36.0304327Z test/test_nops.py .... [ 80%] 2022-12-01T11:01:36.1128371Z test/test_optimizations.py ....ss.. [ 81%] 2022-12-01T11:01:37.3354620Z test/test_optimizers.py .......... [ 82%] 2022-12-01T11:01:38.1084882Z test/test_python_autograd.py ..... [ 82%] 2022-12-01T11:01:38.1563416Z test/test_recompile_ux.py ....s. [ 83%] 2022-12-01T11:01:40.1758253Z test/test_repros.py ...........................s..x................... [ 87%] 2022-12-01T11:01:40.1965192Z test/test_skip_non_tensor.py ....... [ 87%] 2022-12-01T11:01:41.4109475Z test/test_subgraphs.py ......................................s. [ 90%] 2022-12-01T11:01:44.0466680Z test/test_unspec.py ...........................s..x..................... [ 95%] 2022-12-01T11:01:44.8538545Z .............................................s......... [ 99%] 2022-12-01T11:01:44.9916220Z test/test_verify_correctness.py ...ss. [100%] 2022-12-01T11:01:44.9967849Z 2022-12-01T11:01:44.9968789Z =============================== warnings summary =============================== 2022-12-01T11:01:44.9969229Z test/test_repros.py:740 2022-12-01T11:01:44.9970190Z /var/lib/jenkins/torchdynamo/test/test_repros.py:740: PytestCollectionWarning: cannot collect test class 'TestModule' because it has a __init__ constructor (from: test/test_repros.py) 2022-12-01T11:01:45.0007738Z class TestModule(torch.nn.Module): 2022-12-01T11:01:45.0007971Z 2022-12-01T11:01:45.0010283Z ../../../../opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:15209 2022-12-01T11:01:45.0011469Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:15209: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. 2022-12-01T11:01:45.0012206Z active_if=TEST_SCIPY and LooseVersion(scipy.__version__) < "1.4.0"), 2022-12-01T11:01:45.0012492Z 2022-12-01T11:01:45.0012879Z ../../../../opt/conda/lib/python3.7/site-packages/setuptools/_distutils/version.py:346 2022-12-01T11:01:45.0013566Z ../../../../opt/conda/lib/python3.7/site-packages/setuptools/_distutils/version.py:346 2022-12-01T11:01:45.0014244Z ../../../../opt/conda/lib/python3.7/site-packages/setuptools/_distutils/version.py:346 2022-12-01T11:01:45.0015181Z /opt/conda/lib/python3.7/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. 2022-12-01T11:01:45.0015765Z other = LooseVersion(other) 2022-12-01T11:01:45.0015980Z 2022-12-01T11:01:45.0016838Z ../../../../opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:15211 2022-12-01T11:01:45.0017893Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:15211: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. 2022-12-01T11:01:45.0018767Z active_if=TEST_SCIPY and LooseVersion(scipy.__version__) < "1.4.0"), 2022-12-01T11:01:45.0019043Z 2022-12-01T11:01:45.0019495Z ../../../../opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:15213 2022-12-01T11:01:45.0020530Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:15213: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. 2022-12-01T11:01:45.0021251Z active_if=TEST_SCIPY and LooseVersion(scipy.__version__) < "1.4.0"), 2022-12-01T11:01:45.0087399Z 2022-12-01T11:01:45.0090318Z test/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor_dynamic_shapes 2022-12-01T11:01:45.0090923Z test/test_misc.py::MiscTests::test_cross_entropy_loss_fancy_ctor 2022-12-01T11:01:45.0091487Z test/test_no_fake_tensors.py::NoFakeTensorsMiscTests::test_cross_entropy_loss_fancy_ctor_no_fake_tensors 2022-12-01T11:01:45.0092490Z /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-12-01T11:01:45.0093077Z warnings.warn(warning.format(ret)) 2022-12-01T11:01:45.0093286Z 2022-12-01T11:01:45.0093569Z test/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out_dynamic_shapes 2022-12-01T11:01:45.0094162Z test/test_no_fake_tensors.py::NoFakeTensorsReproTests::test_sigmoid_out_no_fake_tensors 2022-12-01T11:01:45.0094661Z test/test_repros.py::ReproTests::test_sigmoid_out 2022-12-01T11:01:45.0095113Z test/test_unspec.py::UnspecReproTests::test_sigmoid_out_unspec 2022-12-01T11:01:45.0096307Z /var/lib/jenkins/torchdynamo/test/test_repros.py:1490: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T11:01:45.0100309Z torch.sigmoid(inp, out=out1) 2022-12-01T11:01:45.0100509Z 2022-12-01T11:01:45.0100808Z test/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out_dynamic_shapes 2022-12-01T11:01:45.0101402Z test/test_no_fake_tensors.py::NoFakeTensorsReproTests::test_sigmoid_out_no_fake_tensors 2022-12-01T11:01:45.0101909Z test/test_repros.py::ReproTests::test_sigmoid_out 2022-12-01T11:01:45.0102357Z test/test_unspec.py::UnspecReproTests::test_sigmoid_out_unspec 2022-12-01T11:01:45.0103619Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T11:01:45.0104768Z return proxy.node.target(*args, **kwargs) 2022-12-01T11:01:45.0105001Z 2022-12-01T11:01:45.0105283Z test/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out_dynamic_shapes 2022-12-01T11:01:45.0105880Z test/test_no_fake_tensors.py::NoFakeTensorsReproTests::test_sigmoid_out_no_fake_tensors 2022-12-01T11:01:45.0106368Z test/test_repros.py::ReproTests::test_sigmoid_out 2022-12-01T11:01:45.0106837Z test/test_unspec.py::UnspecReproTests::test_sigmoid_out_unspec 2022-12-01T11:01:45.0107985Z :7: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T11:01:45.0108965Z 2022-12-01T11:01:45.0109247Z test/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out_dynamic_shapes 2022-12-01T11:01:45.0109842Z test/test_no_fake_tensors.py::NoFakeTensorsReproTests::test_sort_out_no_fake_tensors 2022-12-01T11:01:45.0110323Z test/test_repros.py::ReproTests::test_sort_out 2022-12-01T11:01:45.0110769Z test/test_unspec.py::UnspecReproTests::test_sort_out_unspec 2022-12-01T11:01:45.0112027Z /var/lib/jenkins/torchdynamo/test/test_repros.py:1474: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T11:01:45.0113129Z torch.sort(tensor, out=(values1, indices1)) 2022-12-01T11:01:45.0113359Z 2022-12-01T11:01:45.0113635Z test/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out_dynamic_shapes 2022-12-01T11:01:45.0114203Z test/test_no_fake_tensors.py::NoFakeTensorsReproTests::test_sort_out_no_fake_tensors 2022-12-01T11:01:45.0114693Z test/test_repros.py::ReproTests::test_sort_out 2022-12-01T11:01:45.0115139Z test/test_unspec.py::UnspecReproTests::test_sort_out_unspec 2022-12-01T11:01:45.0116372Z /var/lib/jenkins/torchdynamo/torchdynamo/variables/tensor.py:75: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T11:01:45.0117463Z return proxy.node.target(*args, **kwargs) 2022-12-01T11:01:45.0117692Z 2022-12-01T11:01:45.0117971Z test/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out_dynamic_shapes 2022-12-01T11:01:45.0118545Z test/test_no_fake_tensors.py::NoFakeTensorsReproTests::test_sort_out_no_fake_tensors 2022-12-01T11:01:45.0119034Z test/test_repros.py::ReproTests::test_sort_out 2022-12-01T11:01:45.0122879Z test/test_unspec.py::UnspecReproTests::test_sort_out_unspec 2022-12-01T11:01:45.0124158Z :9: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.) 2022-12-01T11:01:45.0125268Z 2022-12-01T11:01:45.0125460Z test/test_dynamic_shapes.py: 4 warnings 2022-12-01T11:01:45.0125866Z test/test_modules.py: 4 warnings 2022-12-01T11:01:45.0126355Z test/test_no_fake_tensors.py: 4 warnings 2022-12-01T11:01:45.0126769Z test/test_unspec.py: 4 warnings 2022-12-01T11:01:45.0127959Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-12-01T11:01:45.0128899Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-12-01T11:01:45.0129235Z 2022-12-01T11:01:45.0129419Z test/test_dynamic_shapes.py: 4 warnings 2022-12-01T11:01:45.0129842Z test/test_modules.py: 4 warnings 2022-12-01T11:01:45.0130241Z test/test_no_fake_tensors.py: 4 warnings 2022-12-01T11:01:45.0130656Z test/test_unspec.py: 4 warnings 2022-12-01T11:01:45.0131669Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1967: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-12-01T11:01:45.0132454Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-12-01T11:01:45.0132799Z 2022-12-01T11:01:45.0133208Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-12-01T11:01:45.0134040Z ========== 1180 passed, 63 skipped, 4 xfailed, 66 warnings in 27.02s =========== 2022-12-01T11:01:45.5442336Z + popd 2022-12-01T11:01:45.5442849Z ~/workspace 2022-12-01T11:01:45.5518952Z Prepare all required actions 2022-12-01T11:01:45.5519254Z Getting action download info 2022-12-01T11:01:45.7387483Z ##[group]Run ./.github/actions/get-workflow-job-id 2022-12-01T11:01:45.7387689Z with: 2022-12-01T11:01:45.7388024Z github-token: *** 2022-12-01T11:01:45.7388195Z env: 2022-12-01T11:01:45.7388365Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:45.7388550Z ##[endgroup] 2022-12-01T11:01:45.7415116Z ##[group]Run nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767 2022-12-01T11:01:45.7415355Z with: 2022-12-01T11:01:45.7415518Z shell: bash 2022-12-01T11:01:45.7415680Z timeout_minutes: 10 2022-12-01T11:01:45.7415860Z max_attempts: 5 2022-12-01T11:01:45.7416040Z retry_wait_seconds: 30 2022-12-01T11:01:45.7416413Z command: set -eux python3 -m pip install requests==2.26.0 GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}") echo "::set-output name=job-id::${GHA_WORKFLOW_JOB_ID}" 2022-12-01T11:01:45.7416822Z polling_interval_seconds: 1 2022-12-01T11:01:45.7417021Z warning_on_retry: true 2022-12-01T11:01:45.7417195Z continue_on_error: false 2022-12-01T11:01:45.7417371Z env: 2022-12-01T11:01:45.7417539Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:45.7417833Z GITHUB_TOKEN: *** 2022-12-01T11:01:45.7418009Z ##[endgroup] 2022-12-01T11:01:46.0959709Z 2022-12-01T11:01:46.0965252Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-12-01T11:01:46.1001688Z + python3 -m pip install requests==2.26.0 2022-12-01T11:01:46.4737833Z Defaulting to user installation because normal site-packages is not writeable 2022-12-01T11:01:46.4921575Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0) 2022-12-01T11:01:46.5047705Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2022.9.24) 2022-12-01T11:01:46.5057153Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.13) 2022-12-01T11:01:46.5208093Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4) 2022-12-01T11:01:46.5220381Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12) 2022-12-01T11:01:46.6969532Z ++ python3 .github/scripts/get_workflow_job_id.py 3591403534 i-0965bcf403f1fe4cf 2022-12-01T11:01:49.2396813Z + GHA_WORKFLOW_JOB_ID=9818359943 2022-12-01T11:01:49.2397406Z + echo '::set-output name=job-id::9818359943' 2022-12-01T11:01:49.2398971Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-12-01T11:01:50.1030283Z Command completed after 1 attempt(s). 2022-12-01T11:01:50.1030570Z 2022-12-01T11:01:50.1032534Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-12-01T11:01:50.1131931Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2022-12-01T11:01:50.1132184Z kill "$MONITOR_SCRIPT_PID" 2022-12-01T11:01:50.1796722Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T11:01:50.1796954Z env: 2022-12-01T11:01:50.1797119Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:50.1797319Z MONITOR_SCRIPT_PID: 29058 2022-12-01T11:01:50.1797504Z ##[endgroup] 2022-12-01T11:01:50.1875627Z Prepare all required actions 2022-12-01T11:01:50.1875889Z Getting action download info 2022-12-01T11:01:50.4064281Z Download action repository 'actions/upload-artifact@v2' (SHA:82c141cc518b40d92cc801eee768e7aafc9c2fa2) 2022-12-01T11:01:50.5574513Z ##[group]Run ./.github/actions/upload-test-artifacts 2022-12-01T11:01:50.5574730Z with: 2022-12-01T11:01:50.5574951Z file-suffix: test-dynamo-2-2-linux.2xlarge_9818359943 2022-12-01T11:01:50.5575176Z env: 2022-12-01T11:01:50.5575340Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:50.5575529Z ##[endgroup] 2022-12-01T11:01:50.5598685Z ##[group]Run # Remove any previous test jsons if they exist 2022-12-01T11:01:50.5598961Z # Remove any previous test jsons if they exist 2022-12-01T11:01:50.5599188Z rm -f test-jsons-*.zip 2022-12-01T11:01:50.5599431Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json' 2022-12-01T11:01:50.5610129Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T11:01:50.5610386Z env: 2022-12-01T11:01:50.5610549Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:50.5610793Z FILE_SUFFIX: test-dynamo-2-2-linux.2xlarge_9818359943 2022-12-01T11:01:50.5611017Z ##[endgroup] 2022-12-01T11:01:50.5766378Z adding: test/allowlist_for_publicAPI.json (deflated 80%) 2022-12-01T11:01:50.5793361Z adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%) 2022-12-01T11:01:50.5799228Z adding: 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adding: test/test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20221201105717.xml (deflated 41%) 2022-12-01T11:01:50.6578638Z adding: test/test-reports/python-unittest/test_shape_ops/TEST-TestShapeOpsCPU-20221201105725.xml (deflated 92%) 2022-12-01T11:01:50.6579219Z adding: test/test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensor-20221201105730.xml (deflated 79%) 2022-12-01T11:01:50.6580025Z adding: test/test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorAutograd-20221201105730.xml (deflated 86%) 2022-12-01T11:01:50.6581644Z adding: test/test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorDeviceTypeCPU-20221201105730.xml (deflated 93%) 2022-12-01T11:01:50.6582298Z adding: test/test-reports/python-unittest/test_datapipe/TEST-TestCircularSerialization-20221201105733.xml (deflated 64%) 2022-12-01T11:01:50.6582834Z adding: test/test-reports/python-unittest/test_datapipe/TEST-TestDataChunk-20221201105733.xml (deflated 76%) 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test/test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221201105740.xml (deflated 64%) 2022-12-01T11:01:50.6592250Z adding: test/test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNNDeviceTypeCPU-20221201105740.xml (deflated 72%) 2022-12-01T11:01:50.6592856Z adding: test/test-reports/python-unittest/test_native_mha/TEST-TestMHADeviceTypeCPU-20221201105744.xml (deflated 61%) 2022-12-01T11:01:50.6593463Z adding: test/test-reports/python-unittest/lazy.test_reuse_ir/TEST-TestLazyReuseIr-20221201105746.xml (deflated 73%) 2022-12-01T11:01:50.6594077Z adding: test/test-reports/python-unittest/test_native_functions/TEST-TestNativeFunctions-20221201105752.xml (deflated 75%) 2022-12-01T11:01:50.6594632Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221201105758.xml (deflated 78%) 2022-12-01T11:01:50.6595288Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221201105758.xml (deflated 80%) 2022-12-01T11:01:50.6595942Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221201105758.xml (deflated 58%) 2022-12-01T11:01:50.6596579Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221201105758.xml (deflated 87%) 2022-12-01T11:01:50.6597135Z adding: test/test-reports/python-unittest/test_functional_optim/TEST-TestFunctionalOptimParity-20221201105804.xml (deflated 71%) 2022-12-01T11:01:50.6597670Z adding: test/test-reports/python-unittest/test_prims/TEST-TestDecompCPU-20221201105812.xml (deflated 77%) 2022-12-01T11:01:50.6598164Z adding: test/test-reports/python-unittest/test_prims/TEST-TestPrimsBasic-20221201105812.xml (deflated 52%) 2022-12-01T11:01:50.6598697Z adding: test/test-reports/python-unittest/test_prims/TEST-TestPrimsCPU-20221201105812.xml (deflated 90%) 2022-12-01T11:01:50.6599249Z adding: test/test-reports/python-unittest/test_prims/TEST-TestRefsCPU-20221201105812.xml (deflated 39%) 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2022-12-01T11:01:50.6603869Z adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_pruner.TestBasePruner-20221201105820.xml (deflated 77%) 2022-12-01T11:01:50.6604597Z adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestBaseSparsifier-20221201105820.xml (deflated 81%) 2022-12-01T11:01:50.6605288Z adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestComposability-20221201105820.xml (deflated 87%) 2022-12-01T11:01:50.6606097Z adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestCubicScheduler-20221201105820.xml (deflated 57%) 2022-12-01T11:01:50.6606799Z adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_parametrization.TestFakeSparsity-20221201105820.xml (deflated 72%) 2022-12-01T11:01:50.6607692Z adding: 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2022-12-01T11:01:50.6635012Z adding: test/test-reports/python-unittest/test_model_dump/TEST-TestModelDump-20221201110000.xml (deflated 75%) 2022-12-01T11:01:50.6635674Z adding: test/test-reports/python-unittest/benchmark_utils.test_benchmark_utils/TEST-TestBenchmarkUtils-20221201110009.xml (deflated 74%) 2022-12-01T11:01:50.6636335Z adding: test/test-reports/python-unittest/test_per_overload_api/TEST-TestPerOverloadAPI-20221201110013.xml (deflated 63%) 2022-12-01T11:01:50.6636852Z adding: test/test-reports/python-unittest/test_jit_disabled/TEST-TestJitDisabled-20221201110019.xml (deflated 60%) 2022-12-01T11:01:50.6637515Z adding: test/test-reports/python-unittest/test_type_info/TEST-TestDTypeInfo-20221201110025.xml (deflated 61%) 2022-12-01T11:01:50.6638100Z adding: test/test-reports/python-unittest/test_itt/TEST-TestItt-20221201110030.xml (deflated 40%) 2022-12-01T11:01:50.6638729Z adding: test/test-reports/python-unittest/test_numpy_interop/TEST-TestNumPyInteropCPU-20221201110036.xml (deflated 83%) 2022-12-01T11:01:50.6639283Z adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221201110047.xml (deflated 80%) 2022-12-01T11:01:50.6639890Z adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221201110047.xml (deflated 67%) 2022-12-01T11:01:50.6640447Z adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221201110047.xml (deflated 41%) 2022-12-01T11:01:50.6641007Z adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221201110047.xml (deflated 42%) 2022-12-01T11:01:50.6658833Z ##[group]Run # Remove any previous test reports if they exist 2022-12-01T11:01:50.6659133Z # Remove any previous test reports if they exist 2022-12-01T11:01:50.6659368Z rm -f usage-log-*.zip 2022-12-01T11:01:50.6659643Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2022-12-01T11:01:50.6659916Z # so check to see if the file exists first 2022-12-01T11:01:50.6660145Z if [ -f 'usage_log.txt' ]; then 2022-12-01T11:01:50.6660387Z  zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt' 2022-12-01T11:01:50.6660602Z fi 2022-12-01T11:01:50.6670573Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T11:01:50.6670795Z env: 2022-12-01T11:01:50.6671017Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:50.6671324Z FILE_SUFFIX: test-dynamo-2-2-linux.2xlarge_9818359943 2022-12-01T11:01:50.6671550Z ##[endgroup] 2022-12-01T11:01:50.6943725Z adding: usage_log.txt (deflated 97%) 2022-12-01T11:01:50.6999053Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-12-01T11:01:50.6999261Z with: 2022-12-01T11:01:50.6999458Z s3-prefix: pytorch/pytorch/3591403534/1/artifact 2022-12-01T11:01:50.6999661Z retention-days: 14 2022-12-01T11:01:50.6999849Z if-no-files-found: warn 2022-12-01T11:01:50.7000043Z path: test-jsons-*.zip 2022-12-01T11:01:50.7000210Z name: artifact 2022-12-01T11:01:50.7000385Z s3-bucket: gha-artifacts 2022-12-01T11:01:50.7000569Z region: us-east-1 2022-12-01T11:01:50.7000715Z env: 2022-12-01T11:01:50.7000879Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:50.7001060Z ##[endgroup] 2022-12-01T11:01:51.0557953Z NOTE: s3-prefix specified, ignoring name parameter 2022-12-01T11:01:51.0558712Z With the provided path, there will be 1 file uploaded 2022-12-01T11:01:51.0559015Z Uploading to s3 prefix: pytorch/pytorch/3591403534/1/artifact 2022-12-01T11:01:51.0615554Z Starting upload of test-jsons-test-dynamo-2-2-linux.2xlarge_9818359943.zip 2022-12-01T11:01:51.1650747Z Finished upload of test-jsons-test-dynamo-2-2-linux.2xlarge_9818359943.zip 2022-12-01T11:01:51.1806340Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-12-01T11:01:51.1806553Z with: 2022-12-01T11:01:51.1806742Z s3-prefix: pytorch/pytorch/3591403534/1/artifact 2022-12-01T11:01:51.1807199Z retention-days: 14 2022-12-01T11:01:51.1807402Z if-no-files-found: error 2022-12-01T11:01:51.1807592Z path: test-reports-*.zip 2022-12-01T11:01:51.1807776Z name: artifact 2022-12-01T11:01:51.1807955Z s3-bucket: gha-artifacts 2022-12-01T11:01:51.1808129Z region: us-east-1 2022-12-01T11:01:51.1808361Z env: 2022-12-01T11:01:51.1808542Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:51.1808711Z ##[endgroup] 2022-12-01T11:01:51.5084417Z NOTE: s3-prefix specified, ignoring name parameter 2022-12-01T11:01:51.5084808Z With the provided path, there will be 1 file uploaded 2022-12-01T11:01:51.5085082Z Uploading to s3 prefix: pytorch/pytorch/3591403534/1/artifact 2022-12-01T11:01:51.5092259Z Starting upload of test-reports-test-dynamo-2-2-linux.2xlarge_9818359943.zip 2022-12-01T11:01:51.6947291Z Finished upload of test-reports-test-dynamo-2-2-linux.2xlarge_9818359943.zip 2022-12-01T11:01:51.7081128Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-12-01T11:01:51.7081349Z with: 2022-12-01T11:01:51.7081545Z s3-prefix: pytorch/pytorch/3591403534/1/artifact 2022-12-01T11:01:51.7081763Z retention-days: 14 2022-12-01T11:01:51.7081960Z if-no-files-found: ignore 2022-12-01T11:01:51.7082148Z path: usage-log-*.zip 2022-12-01T11:01:51.7082328Z name: artifact 2022-12-01T11:01:51.7082510Z s3-bucket: gha-artifacts 2022-12-01T11:01:51.7082757Z region: us-east-1 2022-12-01T11:01:51.7082926Z env: 2022-12-01T11:01:51.7083104Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:51.7083275Z ##[endgroup] 2022-12-01T11:01:52.0347804Z NOTE: s3-prefix specified, ignoring name parameter 2022-12-01T11:01:52.0348272Z With the provided path, there will be 1 file uploaded 2022-12-01T11:01:52.0348698Z Uploading to s3 prefix: pytorch/pytorch/3591403534/1/artifact 2022-12-01T11:01:52.0355489Z Starting upload of usage-log-test-dynamo-2-2-linux.2xlarge_9818359943.zip 2022-12-01T11:01:52.2868298Z Finished upload of usage-log-test-dynamo-2-2-linux.2xlarge_9818359943.zip 2022-12-01T11:01:52.3006662Z ##[group]Run set -x 2022-12-01T11:01:52.3006864Z set -x 2022-12-01T11:01:52.3007266Z python3 -m pip install -r requirements.txt 2022-12-01T11:01:52.3007518Z python3 -m pip install boto3==1.19.12 2022-12-01T11:01:52.3007809Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test 2022-12-01T11:01:52.3018580Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T11:01:52.3018789Z env: 2022-12-01T11:01:52.3018967Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:01:52.3019235Z AWS_DEFAULT_REGION: us-east-1 2022-12-01T11:01:52.3019419Z BRANCH: pull/89997 2022-12-01T11:01:52.3019601Z TEST_CONFIG: dynamo 2022-12-01T11:01:52.3019781Z SHARD_NUMBER: 2 2022-12-01T11:01:52.3020049Z BUILD_ENVIRONMENT: linux-bionic-py3.7-clang9 2022-12-01T11:01:52.3020274Z PR_NUMBER: 89997 2022-12-01T11:01:52.3020466Z PYTORCH_RETRY_TEST_CASES: 1 2022-12-01T11:01:52.3020662Z PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1 2022-12-01T11:01:52.3020926Z SHA1: c13d400bffe90e16b96520bbc8a41a6f0c9cd584 2022-12-01T11:01:52.3021127Z TAG: 2022-12-01T11:01:52.3021279Z WORKFLOW_ID: 3591403534 2022-12-01T11:01:52.3021611Z GITHUB_TOKEN: *** 2022-12-01T11:01:52.3021800Z GHA_WORKFLOW_JOB_ID: 9818359943 2022-12-01T11:01:52.3021975Z ##[endgroup] 2022-12-01T11:01:52.3046306Z + python3 -m pip install -r requirements.txt 2022-12-01T11:01:52.5085783Z Defaulting to user installation because normal site-packages is not writeable 2022-12-01T11:01:52.5339796Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3) 2022-12-01T11:01:52.5364505Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.4) 2022-12-01T11:01:52.5372584Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2) 2022-12-01T11:01:52.5381859Z Requirement already satisfied: hypothesis in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (6.58.2) 2022-12-01T11:01:52.5741054Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (1.21.6) 2022-12-01T11:01:52.5749136Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1) 2022-12-01T11:01:52.5824747Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (6.0) 2022-12-01T11:01:52.5832185Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0) 2022-12-01T11:01:52.6026726Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3) 2022-12-01T11:01:52.6189904Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.16.0) 2022-12-01T11:01:52.6197807Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.6.6) 2022-12-01T11:01:52.6203111Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (4.4.0) 2022-12-01T11:01:52.6212967Z Requirement already satisfied: sympy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (1.10.1) 2022-12-01T11:01:52.6232735Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.38.4) 2022-12-01T11:01:52.6248402Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (2.4.0) 2022-12-01T11:01:52.6257931Z Requirement already satisfied: attrs>=19.2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (22.1.0) 2022-12-01T11:01:52.6501751Z Requirement already satisfied: exceptiongroup>=1.0.0; python_version < "3.11" in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (1.0.4) 2022-12-01T11:01:52.6518774Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.9.24) 2022-12-01T11:01:52.6526935Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4) 2022-12-01T11:01:52.6538058Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.13) 2022-12-01T11:01:52.6687319Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12) 2022-12-01T11:01:52.6704819Z Requirement already satisfied: mpmath>=0.19 in /home/ec2-user/.local/lib/python3.7/site-packages (from sympy->-r requirements.txt (line 14)) (1.2.1) 2022-12-01T11:01:52.7504187Z + python3 -m pip install boto3==1.19.12 2022-12-01T11:01:52.9521302Z Defaulting to user installation because normal site-packages is not writeable 2022-12-01T11:01:52.9695071Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12) 2022-12-01T11:01:52.9743346Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2) 2022-12-01T11:01:52.9769663Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12) 2022-12-01T11:01:52.9816719Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0) 2022-12-01T11:01:52.9828957Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2) 2022-12-01T11:01:52.9848781Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.13) 2022-12-01T11:01:52.9997250Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0) 2022-12-01T11:01:53.1739979Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test 2022-12-01T11:02:45.6345236Z [scribe] Scribe access token not provided, sending report via boto3... 2022-12-01T11:02:45.6345611Z 2022-12-01T11:02:45.6345998Z ----- Historic stats comparison result ------ 2022-12-01T11:02:45.6346715Z 2022-12-01T11:02:45.6347657Z job: linux-bionic-py3.7-clang9 2022-12-01T11:02:45.6348040Z commit: c13d400bffe90e16b96520bbc8a41a6f0c9cd584 2022-12-01T11:02:45.6348234Z 2022-12-01T11:02:45.6348396Z Commit graph (base is most recent master ancestor with at least one S3 report): 2022-12-01T11:02:45.6348577Z 2022-12-01T11:02:45.6348645Z : (master) 2022-12-01T11:02:45.6348868Z | 2022-12-01T11:02:45.6349176Z | * c13d400bff (HEAD) total time 3810.93s 2022-12-01T11:02:45.6349400Z | | 2022-12-01T11:02:45.6349588Z | : (59 commits) 2022-12-01T11:02:45.6349880Z |/ 2022-12-01T11:02:45.6350433Z * 67eb2d5952 (base) 16 reports, total time 4344.22s ± 602.80s 2022-12-01T11:02:45.6350934Z * 1c5ca724f4 8 reports, total time 4368.61s ± 616.59s 2022-12-01T11:02:45.6351409Z * 9d6109c4b0 8 reports, total time 4383.64s ± 695.73s 2022-12-01T11:02:45.6352303Z * 736adc0808 8 reports, total time 4306.63s ± 637.14s 2022-12-01T11:02:45.6352776Z * a348975e00 8 reports, total time 4289.15s ± 623.87s 2022-12-01T11:02:45.6353107Z * db13049b88 8 reports, total time 4387.24s ± 674.56s 2022-12-01T11:02:45.6353662Z * d07b85393a 8 reports, total time 4300.86s ± 637.56s 2022-12-01T11:02:45.6354200Z * ac25c210e5 8 reports, total time 4257.12s ± 662.22s 2022-12-01T11:02:45.6354770Z * 2355b6256b 8 reports, total time 4350.11s ± 742.08s 2022-12-01T11:02:45.6355157Z * 4f95f7ae9b 8 reports, total time 4359.00s ± 715.95s 2022-12-01T11:02:45.6355354Z | 2022-12-01T11:02:45.6355506Z : 2022-12-01T11:02:45.6355586Z 2022-12-01T11:02:45.6355701Z Removed (across 490 suites) 0 tests, totaling 0.00s 2022-12-01T11:02:45.6355966Z Modified (across 0 suites) 0 tests, totaling 0.00s 2022-12-01T11:02:45.6356221Z Added (across 248 suites) 39920 tests, totaling +3810.93s 2022-12-01T11:02:45.7315849Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2022-12-01T11:02:45.7316250Z with: 2022-12-01T11:02:45.7316509Z env: 2022-12-01T11:02:45.7316799Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:02:45.7317098Z ##[endgroup] 2022-12-01T11:02:45.7340656Z ##[group]Run set -eou pipefail 2022-12-01T11:02:45.7341032Z set -eou pipefail 2022-12-01T11:02:45.7341334Z  2022-12-01T11:02:45.7341738Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2022-12-01T11:02:45.7342148Z for _ in $(seq 1440); do 2022-12-01T11:02:45.7342517Z  # Break if no ssh session exists anymore 2022-12-01T11:02:45.7342900Z  if [ "$(who)" = "" ]; then 2022-12-01T11:02:45.7343204Z  break 2022-12-01T11:02:45.7343495Z  fi 2022-12-01T11:02:45.7343769Z  echo "." 2022-12-01T11:02:45.7343988Z  sleep 5 2022-12-01T11:02:45.7344160Z done 2022-12-01T11:02:45.7355161Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T11:02:45.7355368Z env: 2022-12-01T11:02:45.7355545Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:02:45.7355731Z ##[endgroup] 2022-12-01T11:02:45.7381877Z Holding runner for 2 hours until all ssh sessions have logged out 2022-12-01T11:02:45.7467480Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2022-12-01T11:02:45.7467790Z # ignore expansion of "docker ps -q" since it could be empty 2022-12-01T11:02:45.7468041Z # shellcheck disable=SC2046 2022-12-01T11:02:45.7468267Z docker stop $(docker ps -q) || true 2022-12-01T11:02:45.7468480Z # Prune all of the docker images 2022-12-01T11:02:45.7468696Z docker system prune -af 2022-12-01T11:02:45.7479019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-12-01T11:02:45.7479336Z env: 2022-12-01T11:02:45.7479511Z GIT_DEFAULT_BRANCH: master 2022-12-01T11:02:45.7479684Z ##[endgroup] 2022-12-01T11:02:46.1465415Z 476c2c50599e 2022-12-01T11:02:47.2342469Z Deleted Containers: 2022-12-01T11:02:47.2342863Z 476c2c50599e00103ec8796e6f3aaafdf50cd2960b2c5a323c16c1d195bcec44 2022-12-01T11:02:47.2343036Z 2022-12-01T11:02:54.7561635Z Deleted Images: 2022-12-01T11:02:54.7563591Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9:fa72f5a0a230eb632055220542038bd4ceca184b 2022-12-01T11:02:54.7564324Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-py3.7-clang9@sha256:922efd3e5de9c9bb7c8bbf26292cfc402e4fe496007343b3cdeaa900d9eba7e5 2022-12-01T11:02:54.7564814Z deleted: sha256:79a24f7e31ea76d2ddb469f649fa8ec153a9d95b2910eec865272f9fe1492257 2022-12-01T11:02:54.7565156Z deleted: sha256:c1d569b3b7aecb26b66d2051263ba61aa46d8254055f1adf855c83dbb4f8177e 2022-12-01T11:02:54.7565694Z deleted: sha256:b8d1f473f6b1a07bef17d41165749de9fb5f8e8395202d332380a5b0fd997c19 2022-12-01T11:02:54.7566395Z deleted: sha256:a5cb4f755e86e80ca35205044b67fa63e5ac77b04cfc8348f771ceb9436c387e 2022-12-01T11:02:54.7566839Z deleted: sha256:73294294aa551e90351c3f45afd3d2e7e5e835f2b89c4f4a54c0aa134927ef42 2022-12-01T11:02:54.7567586Z deleted: 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core\.sshCommand 2022-12-01T11:02:54.8940358Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || : 2022-12-01T11:02:54.9318702Z Entering 'android/libs/fbjni' 2022-12-01T11:02:54.9363709Z Entering 'third_party/FP16' 2022-12-01T11:02:54.9404471Z Entering 'third_party/FXdiv' 2022-12-01T11:02:54.9446399Z Entering 'third_party/NNPACK' 2022-12-01T11:02:54.9494887Z Entering 'third_party/QNNPACK' 2022-12-01T11:02:54.9542092Z Entering 'third_party/VulkanMemoryAllocator' 2022-12-01T11:02:54.9575037Z Entering 'third_party/XNNPACK' 2022-12-01T11:02:54.9678966Z Entering 'third_party/benchmark' 2022-12-01T11:02:54.9726569Z Entering 'third_party/cpuinfo' 2022-12-01T11:02:54.9777785Z Entering 'third_party/cub' 2022-12-01T11:02:54.9820984Z Entering 'third_party/cudnn_frontend' 2022-12-01T11:02:54.9859236Z Entering 'third_party/cutlass' 2022-12-01T11:02:54.9897953Z Entering 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2022-12-01T11:02:55.0768269Z Entering 'third_party/ios-cmake' 2022-12-01T11:02:55.0807493Z Entering 'third_party/ittapi' 2022-12-01T11:02:55.0840360Z Entering 'third_party/kineto' 2022-12-01T11:02:55.0873136Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2022-12-01T11:02:55.0905260Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2022-12-01T11:02:55.0939606Z Entering 'third_party/nccl/nccl' 2022-12-01T11:02:55.0988223Z Entering 'third_party/neon2sse' 2022-12-01T11:02:55.1045358Z Entering 'third_party/nlohmann' 2022-12-01T11:02:55.1079347Z Entering 'third_party/onnx' 2022-12-01T11:02:55.1257229Z Entering 'third_party/onnx/third_party/benchmark' 2022-12-01T11:02:55.1350504Z Entering 'third_party/onnx/third_party/pybind11' 2022-12-01T11:02:55.1401955Z Entering 'third_party/onnx-tensorrt' 2022-12-01T11:02:55.1506710Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2022-12-01T11:02:55.1638815Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2022-12-01T11:02:55.1719727Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2022-12-01T11:02:55.1819583Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2022-12-01T11:02:55.1864262Z Entering 'third_party/pocketfft' 2022-12-01T11:02:55.1897810Z Entering 'third_party/protobuf' 2022-12-01T11:02:55.2005500Z Entering 'third_party/protobuf/third_party/benchmark' 2022-12-01T11:02:55.2065855Z Entering 'third_party/protobuf/third_party/googletest' 2022-12-01T11:02:55.2108072Z Entering 'third_party/psimd' 2022-12-01T11:02:55.2148243Z Entering 'third_party/pthreadpool' 2022-12-01T11:02:55.2191794Z Entering 'third_party/pybind11' 2022-12-01T11:02:55.2235372Z Entering 'third_party/python-enum' 2022-12-01T11:02:55.2275742Z Entering 'third_party/python-peachpy' 2022-12-01T11:02:55.2321605Z Entering 'third_party/python-six' 2022-12-01T11:02:55.2363791Z Entering 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submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || : 2022-12-01T11:02:55.3151359Z Entering 'android/libs/fbjni' 2022-12-01T11:02:55.3170391Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3195080Z Entering 'third_party/FP16' 2022-12-01T11:02:55.3216370Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3240791Z Entering 'third_party/FXdiv' 2022-12-01T11:02:55.3260581Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3285600Z Entering 'third_party/NNPACK' 2022-12-01T11:02:55.3304647Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3330013Z Entering 'third_party/QNNPACK' 2022-12-01T11:02:55.3349339Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3375732Z Entering 'third_party/VulkanMemoryAllocator' 2022-12-01T11:02:55.3395262Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3420493Z Entering 'third_party/XNNPACK' 2022-12-01T11:02:55.3439640Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3482939Z Entering 'third_party/benchmark' 2022-12-01T11:02:55.3502414Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3528805Z Entering 'third_party/cpuinfo' 2022-12-01T11:02:55.3547161Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3573064Z Entering 'third_party/cub' 2022-12-01T11:02:55.3591571Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3616642Z Entering 'third_party/cudnn_frontend' 2022-12-01T11:02:55.3635679Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3666837Z Entering 'third_party/cutlass' 2022-12-01T11:02:55.3686310Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3716858Z Entering 'third_party/eigen' 2022-12-01T11:02:55.3736588Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3763221Z Entering 'third_party/fbgemm' 2022-12-01T11:02:55.3782157Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3806628Z Entering 'third_party/fbgemm/third_party/asmjit' 2022-12-01T11:02:55.3825085Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3849843Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2022-12-01T11:02:55.3868645Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3893179Z Entering 'third_party/fbgemm/third_party/googletest' 2022-12-01T11:02:55.3911947Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3936217Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2022-12-01T11:02:55.3955016Z http.https://github.com/.extraheader 2022-12-01T11:02:55.3981193Z Entering 'third_party/flatbuffers' 2022-12-01T11:02:55.3999933Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4026590Z Entering 'third_party/fmt' 2022-12-01T11:02:55.4045901Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4071091Z Entering 'third_party/foxi' 2022-12-01T11:02:55.4091586Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4115945Z Entering 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http.https://github.com/.extraheader 2022-12-01T11:02:55.4476343Z Entering 'third_party/kineto' 2022-12-01T11:02:55.4495729Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4520786Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2022-12-01T11:02:55.4538980Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4564116Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2022-12-01T11:02:55.4582376Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4609183Z Entering 'third_party/nccl/nccl' 2022-12-01T11:02:55.4628345Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4653224Z Entering 'third_party/neon2sse' 2022-12-01T11:02:55.4672410Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4697486Z Entering 'third_party/nlohmann' 2022-12-01T11:02:55.4716349Z http.https://github.com/.extraheader 2022-12-01T11:02:55.4743114Z Entering 'third_party/onnx' 2022-12-01T11:02:55.4762539Z http.https://github.com/.extraheader 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http.https://github.com/.extraheader 2022-12-01T11:02:55.5754690Z Entering 'third_party/tensorpipe/third_party/libnop' 2022-12-01T11:02:55.5774306Z http.https://github.com/.extraheader 2022-12-01T11:02:55.5799273Z Entering 'third_party/tensorpipe/third_party/libuv' 2022-12-01T11:02:55.5818198Z http.https://github.com/.extraheader 2022-12-01T11:02:55.5843185Z Entering 'third_party/tensorpipe/third_party/pybind11' 2022-12-01T11:02:55.5862289Z http.https://github.com/.extraheader 2022-12-01T11:02:55.5887287Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2022-12-01T11:02:55.5905823Z http.https://github.com/.extraheader 2022-12-01T11:02:55.5932766Z Entering 'third_party/zstd' 2022-12-01T11:02:55.5951367Z http.https://github.com/.extraheader 2022-12-01T11:02:55.6176196Z Cleaning up orphan processes